3-4 July 2019, Lucerne Switzerland Assessing the impact of ... · 3.07.2019 · CESI 3-4 July...
Transcript of 3-4 July 2019, Lucerne Switzerland Assessing the impact of ... · 3.07.2019 · CESI 3-4 July...
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LIMITED USE
Assessing the impact of virtual qualified units on the Italian ancillary
Marco Stabile3-4 July 2019, Lucerne Switzerland
qualified units on the Italian ancillary services market
GSM 3rd European GRID SERVICE MARKETS Symposium
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Introduction
1
Objective
This presentation relies on the results obtained by using MODIS, which is an ancillary market simulator
developed by CESI.
Sections of the presentation:
1. Introduction
2. Regulatory Framework
GSM 3rd European GRID SERVICE MARKETS Symposium
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1
2
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2. Regulatory Framework
3. About Italian ASM
4. Modis Simulator
5. Scenario Assumptions
6. Simulation Results
7. Final Remarks
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Introduction
1
Objective
This presentation relies on the results obtained by using MODIS, which is an ancillary market simulator
developed by CESI.
You may ask, why to use a model ?
Model .. To deal with
future uncertainty
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3-4 July 2019, Lucerne SwitzerlandCESI
future uncertainty
Ok, but what about
model uncertainty
In CESI we use model for power market simulation since the day
ahead market was born.
.. the only option to cast a glance to the future.
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Introduction
1
Objective
This presentation relies on the results obtained by using MODIS, which is an ancillary market simulator
developed by CESI.
Virtual Qualified Unit (VQU)
Recent changes in the Italian regulation of the National
Transmission Grid (NTG) demonstrate that the Italian Ancillary
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Services Market (ASM) is opening up to new subjects different
from traditional producers.
Main Goal
The paper presents the methodology and a quantitative analysis
to assess the economic benefit, that can be achieved by the VQU
deployment in the NTG by 2025 and 2030.
The economic benefit is quantified in terms of cost savings for
providing regulating services and reserves in the Italian ASM.
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Introduction
1
Objective
This presentation relies on the results obtained by using MODIS, which is an ancillary market simulator
developed by CESI.
Scenario
Simulations have been carried out looking to 2025 and 2030.
The methodology relies on scenario simulations and what-if
GSM 3rd European GRID SERVICE MARKETS Symposium
3-4 July 2019, Lucerne SwitzerlandCESI
The methodology relies on scenario simulations and what-if
analysis through the comparison of different simulations obtained
using the MODIS simulation tool.
Results
Presented results are not saying how things will be.
Presented results are more focused on how things might be in the
future, according to the simulation assumptions.
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CONFIDENTIAL
LIMITED USE
1.Introduction3.About Italian
ASM 4.MODIS
Simulator1
34
2.Regulatory
Framework
5.Scenario
Assumptions
6.Simulation
Results2
3
5
6 7
7.Final
Remarks
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Regulatory Framework
2
What about the Italian regulatory framework ?
Starting from 2017 the Italian electrical market opened toward new subjects different from traditional
power producers.
Brief Regulatory Roadmap
5th May 2017 – ARERA approved the resolution (Delibera 300/2017 [3]) in which the Italian ASM
should admit in the market new subjects such as demand and renewable and storage system.
GSM 3rd European GRID SERVICE MARKETS Symposium
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30th May 2017 – TERNA published specific new rules (Regolamento UVAC MSD [5]) regulating the
access to the ASM of consumption units;
25th September 2017 - TERNA published specific new rules (Regolamento UVAP MSD [6])
regulating the access to the ASM of non-significant producer unit;
19th June 2018 – TERNA published a new regulatory framework for the M-VQU (Regolamento
UVAM MSD [7]) regulating the access of heterogeneous units (that could provide upward and
downward regulation, including storage facilities).
All this is expected to be implemented in accordance with the European Balancing Guideline (2017)
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Regulatory Framework
2
What about the Italian regulatory framework ?
The new regulatory framework has provided the foundation for aggregating different type of subjects
into Virtual Qualified Units (VQUs)
GSM 3rd European GRID SERVICE MARKETS Symposium
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Renewable
Traditional PP
Distributed Generation
Industrial Load
Demand Side Response
EV
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Regulatory Framework
2
What about the Italian regulatory framework ?
The new regulatory framework has provided the foundation for aggregating different type of subjects
into Virtual Qualified Units (VQUs)
C o n s u m p t i o n P r o d u c t i o n M i x e d
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C-VQUConsumption Virtual Qualified
Unit
Able to reduce consumption
Minimum aggregation threshold between 10 MW to 1 MW.
P-VQUProduction Virtual Qualified
Unit
able to reduce or increase its injection toward the grid
Minimum aggregation threshold between 5 MW to 1 MW.
P-VQUMixed Virtual Qualified Unit
including P-VQU C-VQU and storage system. This virtual unit can modulate in both direction
Minimum aggregation threshold is 1 MW
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CONFIDENTIAL
LIMITED USE
1.Introduction3.About Italian
ASM 4.MODIS
Simulator1
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2.Regulatory
Framework
5.Scenario
Assumptions
6.Simulation
Results2
3
5
6 7
7.Final
Remarks
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Italian Ancillary Services Market
3
Power Market Characteristics
The Italian ASM (also called MSD, Mercato Servizi di Dispacciamento) is operated by the country’s grid
operator TERNA.
The Italian ASM is an “Energy-Only” where all the services requested by the TSO to
manage the National Transmission Grid are procured at Zonal Level.
Offer/bids accepted in the ASM are valued at the offered price (Pay-as-bid clearing
mechanism).
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mechanism).
The Italian TSO procures through the ASM the resources needed to:
Releasing intra-zonal congestion;
Procuring secondary reserves1 and Tertiary2;
Balancing the system in real-time.
1) Automatic Frequency Restoration Reserve (aFRR), automatic activation within 15 minutes, duration 2 hours
2) Replacement Reserve (RR)
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Italian Ancillary Services Market
3
Power Market Characteristics
The Italian ASM (also called MSD, Mercato Servizi di Dispacciamento) is operated by the country’s grid
operator TERNA.
Day Ahead and Intraday Market
RE
AL-
TIM
EAncillary Services Market STAGE 1, TSO accepts energydemand bids and supply offers inorder to relieve residual intra-zonal congestions and create
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Energy
Market
Day - 1
S TA G E 1
Ex-Ante
Phase
S TA G E 1
Ex-Ante
Phase
S TA G E 2
Balancing
Market
zonal congestions and create
reserve Margins.
STAGE 2, TSO accepts energydemand bids and supply offers inorder to provide secondaryregulation and to balance energy
injections and withdrawals.
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The resource necessary to maintain the balance between injection and withdrawal are activated at different time starting from the daybefore real time (D-1) until the real-time
Day
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Italian Ancillary Services Market
3
Power Market Characteristics
The Italian ASM (also called MSD, Mercato Servizi di Dispacciamento) is operated by the country’s grid
operator TERNA.
S t a g e 1
R e s e r v e P r o c u r e m e n t
S t a g e 2
B a l a n c i n g
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It’s necessary to start-up new thermal units toguarantee the right level of reserves (aFRR + RR).
Up/down offers to reschedule the set-point (day-ahead final program).
Energy payment (€/MWh only for differential re-schedule) + start-up fee to be corresponded tothermal power plants if called to be online.
No capacity is traded.
Up/down offers to reschedule power unitparticipant set-point in order to balance energyinjections and withdrawals.
Energy payment (€/MWh only for differential re-schedule).
No capacity is traded.
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CONFIDENTIAL
LIMITED USE
1.Introduction3.About Italian
ASM 4.MODIS
S imu la to r1
34
2.Regulatory
Framework
5.Scenario
Assumptions
6.Simulation
Results2
3
5
6 7
7.Final
Remarks
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MODIS Simulator
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Power Market Simulation
CESI has developed an ASM simulator, named MODIS, a multi-area market simulator, specifically
tailored to the Italian ASM.
Main Features
It works on yearly basis with hourly discretization.
It takes into account all the technical constraints of simulated market participants
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3-4 July 2019, Lucerne SwitzerlandCESI
It takes into account all the technical constraints of simulated market participants
(thermal, Hydro, Res, BESS, Demand…)
It reproduces all the balancing actions necessary to ensure the security reserve
margins.
It reproduces all the upward and downward regulating actions necessary to
offset the simulated imbalance;
It take into account intra-zonal constraint within the six zones of the Italian
ASM1.
1) MODIS is a power market model, It does not consider network model.
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MODIS Simulator
4
Power Market Simulation
CESI has developed an ASM simulator, named MODIS, a multi-area market simulator, specifically
tailored to the Italian ASM.
Useful for
The model by leveraging on the optimization library, which is necessary to solve
a Mixed-Integer Linear Programming (MILP) underneath the main clearing
GSM 3rd European GRID SERVICE MARKETS Symposium
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process, is able to minimize the cost to clear the ASM.
Useful for market analysis, price forecasting, scenario evaluation, risk
assessment, market design and policy analysis.
Emulating all the upward and downward actions of the simulated market, is
possible to estimate the requested energy the in re-dispatching process of the
ancillary services market.
It’s a useful tool to study NP-RES integration in power system, during ancillary
services market sessions.
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MODIS Simulator
4
Power Market Simulation
CESI has developed an ASM simulator, named MODIS, a multi-area market simulator, specifically
tailored to the Italian ASM.
Budget Projection
Investment performance evaluation
S e q u e n t i a l M a r k e t S i m u l a t i o n P l a n n i n g
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3-4 July 2019, Lucerne SwitzerlandCESI
Energy
Market
Day Ahead Simulation
Load
DAM results
and
outcome
Ancillary
Market
Balancing actions and
reserve procurement
Provides balancing
respecting reserve margin
Markets
Outcome
PROMED
RES Integration and overgeneration
Market Design Option
Policy Analysis
Scenario Analysis
Price forecast
Risk Assessment VIRTUAL
UNIT
M a r k e t A n a l ys i s
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M O D I S
CONFIDENTIAL
LIMITED USE
1.Introduction3.About Italian
ASM 4.MODIS
Simulator1
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2.Regulatory
Framework
5.Scenario
Assumptions
6.Simulation
Results2
3
5
6 7
7.Final
Remarks
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Scenario Assumptions
5
Scenario hypothesis and simulation approach
The application of the proposed methodology, implemented using MODIS, is exemplified with some
case studies used to point out the benefits arising from considering VQUs participating into the Italian
ASM.
Problem Size
10 market areas
10 equivalent interconnections between areas
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10 equivalent interconnections between areas
244 thermal and hydro units
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Scenario Assumptions
5
Scenario hypothesis and simulation approach
The application of the proposed methodology, implemented using MODIS, is exemplified with some
case studies used to point out the benefits arising from considering VQUs participating into the Italian
ASM.
Scenarios
Two different time horizons have been taken into account in this analysis,
considering 2020 as short-term scenario, to represent the near future, and 2030
GSM 3rd European GRID SERVICE MARKETS Symposium
3-4 July 2019, Lucerne SwitzerlandCESI
considering 2020 as short-term scenario, to represent the near future, and 2030
as long-term scenario.
The proposed scenarios have been voluntarily created with the purposes of
emphasizing the effect of those new actors (distributed generation, DSR, small
scale generation, storage facilities and EV) in scenarios with high penetration of
NP-RES.
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Scenario Assumptions
5
Scenario hypothesis and simulation approach
The application of the proposed methodology, implemented using MODIS, is exemplified with some
case studies used to point out the benefits arising from considering VQUs participating into the Italian
ASM.
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Scenario Assumptions
5
Scenario hypothesis and simulation approach
The application of the proposed methodology, implemented using MODIS, is exemplified with some
case studies used to point out the benefits arising from considering VQUs participating into the Italian
ASM.
C l u s t e r D e s c r i p t i o n S e r v i c e s
Demand Side Response
Renewable Generation
The mix of generation and controllabledemand participate into the market
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Renewable Generation
Distributed Generation
Mainly refers to electrochemical storagesystem. No stationary pumping unit will beinstalled in the future.
Electrical Vehicles (EV), the transition from acentury of mass-market dominance by theinternal combustion to the EVs appears to beimminent.
demand participate into the marketgiving upward and downward regulationfor balancing purposes.
It participates into the market throughupward and downward regulation forbalancing purposes.
It participates into the market throughupward and downward regulation forbalancing purposes.
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Scenario Assumptions
5
Scenario hypothesis and simulation approach
The application of the proposed methodology, implemented using MODIS, is exemplified with some
case studies used to point out the benefits arising from considering VQUs participating into the Italian
ASM.
C l u s t e r
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Scenario Assumptions
5
Scenario hypothesis and simulation approach
The application of the proposed methodology, implemented using MODIS, is exemplified with some
case studies used to point out the benefits arising from considering VQUs participating into the Italian
ASM.
B a s e l i n e B a s i c P r o c u r i n g
S c e n a r i o
A d v a n c e P r o c u r i n g
S c e n a r i o
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BSBaseline Scenario
It represents a future snapshots under the assumption VQUs are not participating into the ASM.
BPBasic Procuring
VQUs are activated only for balancing purposes.
For technical reason or security motivations VQUs do not provide reserve.
APAdvance Procuring
VQUs are activated only for balancing purposes.
VQUs could provide tertiary reserve
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CONFIDENTIAL
LIMITED USE
1.Introduction3.About Italian
ASM 4.MODIS
Simulator1
34
2.Regulatory
Framework
5.Scenario
Assumptions
6.Simulation
Results2
3
5
6 7
7.Final
Remarks
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Results
6
Scenario Results
In the following session are presented the main findings of the analysis: all the results are collected
starting from the hourly output given by MODIS for the proposed scenarios.
Two different time horizons have been taken into account in this analysis,
considering 2020 as short-term scenario, to represent the near future, and 2030
as long-term scenario.
GSM 3rd European GRID SERVICE MARKETS Symposium
3-4 July 2019, Lucerne SwitzerlandCESI
The proposed scenarios have been voluntarily created with the purposes of
emphasizing the effect of those new actors (distributed generation, DSR, small
scale generation, storage facilities and EV) in scenarios with high penetration of
NP-RES.
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Results
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Scenario Results
In the following session are presented the main findings of the analysis: all the results are collected
starting from the hourly output given by MODIS for the proposed scenarios.
A S M D i s b u r s e m e n t C o s t S a v i n g
Billion €
2.453
Billion €
1.421.5
GSM 3rd European GRID SERVICE MARKETS Symposium
3-4 July 2019, Lucerne SwitzerlandCESI
Absolute cost of the Italian ASM: it represents the cost for procuring therequested services (balancing and reserves) by activating upward anddownward regulation
1.91
2.45
1.471.84
1.02 1.04
0
0.5
1
1.5
2
2.5
3
2025 2030
BS B-Procuring A-Procuring
0.450.61
0.89
1.42
0
0.5
1
1.5
2025 2030
B-Procuring A-Procuring
Differential value of cost disbursement respect to Baseline Scenario, foralternative scenarios where VQUs are participating into the market,challenging with traditional units (hydro and thermal units).
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Results
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Scenario Results
In the following session are presented the main findings of the analysis: all the results are collected
starting from the hourly output given by MODIS for the proposed scenarios.
2 0 2 5 2 0 3 0
Cost Saving Share % Cost Saving Share %
EV EV
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3-4 July 2019, Lucerne SwitzerlandCESI
This figure refers to the BP scenario, in 2025 the greatest contribution inreducing the cost of the ASM is given by controllable demand, controllablerenewable production, distributed generation and storage facilities.
This figure refers to the BP scenario, in 2030 the greatest contribution inreducing the cost of the ASM is still given by controllable demand,controllable renewable production, distributed generation and storagefacilities but EV reach a remarkable share in reducing ASM cost.
[VALORE]
29%
66%
EV
Storage
DG, DSR, RES
[VALORE]
25%61%
EV
Storage
DG, DSR, RES
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Results
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Scenario Results
In the following session are presented the main findings of the analysis: all the results are collected
starting from the hourly output given by MODIS for the proposed scenarios.
500
1'000
1'500Vo l u m e U p / D o w n R e g u l a t i o n 2 0 3 0
Sum Of Energy - GWh
Comparison of regulating volume between
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-1'500
-1'000
-500
0
500
H1 H3 H5 H7 H9 H11H13H15 H17H19H21H23
VQU Traditional Baseline
Comparison of regulating volume betweenBaseline Scenario and Basic Procuring Scenario.
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Results
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Scenario Results
In the following session are presented the main findings of the analysis: all the results are collected
starting from the hourly output given by MODIS for the proposed scenarios.
500
1'000
1'500Vo l u m e U p / D o w n R e g u l a t i o n 2 0 3 0
Sum Of Energy - GWh
Comparison of regulating volume between
GSM 3rd European GRID SERVICE MARKETS Symposium
3-4 July 2019, Lucerne SwitzerlandCESI
The headroom between the red line and colored areain the positive side of the chart indicates the avoidedupward activation volume in the case VQUs areparticipating into the market.
-1'500
-1'000
-500
0
500
H1 H3 H5 H7 H9 H11H13H15 H17H19H21H23
VQU Traditional Baseline
Comparison of regulating volume betweenBaseline Scenario and Basic Procuring Scenario.
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Results
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Scenario Results
In the following session are presented the main findings of the analysis: all the results are collected
starting from the hourly output given by MODIS for the proposed scenarios.
500
1'000
1'500Vo l u m e U p / D o w n R e g u l a t i o n 2 0 3 0
Sum Of Energy - GWh
Comparison of regulating volume between
GSM 3rd European GRID SERVICE MARKETS Symposium
3-4 July 2019, Lucerne SwitzerlandCESI
On the contrary, looking into the negative part of thechart, downward activation for BP scenario is greaterthan the quantity observed in the Baseline scenario.This result is consequent the augmented flexibility ofthe system given by the VQUs, which permits tointegrate more NP-RES production (by increasingsystem capacity of providing downward regulationduring solar hours).
-1'500
-1'000
-500
0
500
H1 H3 H5 H7 H9 H11H13H15 H17H19H21H23
VQU Traditional Baseline
Comparison of regulating volume betweenBaseline Scenario and Basic Procuring Scenario.
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500500
Results
6
Scenario Results
In the following session are presented the main findings of the analysis: all the results are collected
starting from the hourly output given by MODIS for the proposed scenarios.
B a s e l i n e B a s i c P r o c u r i n g
2025 - NP-RES Curtailment - GWh 2025 - NP-RES Curtailment - GWh
GSM 3rd European GRID SERVICE MARKETS Symposium
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0
100
200
300
400
500
H1
H2
H3
H4
H5
H6
H7
H8
H9
H1
0
H1
1
H1
2
H1
3
H1
4
H1
5
H1
6
H1
7
H1
8
H1
9
H2
0
H2
1
H2
2
H2
3
H2
4
M1 M2 M3 M4 M5 M6 M7 M8 M9 M10 M11 M12
0
100
200
300
400
500
H1
H2
H3
H4
H5
H6
H7
H8
H9
H1
0
H1
1
H1
2
H1
3
H1
4
H1
5
H1
6
H1
7
H1
8
H1
9
H2
0
H2
1
H2
2
H2
3
H2
4
M1 M2 M3 M4 M5 M6 M7 M8 M9 M10 M11 M12
This chart refers to Baseline Scenario (2025) and it represents the Non-programmable RES curtailment without VQU’s contribution into the ASM.This is production is not integrable in the system, and that is the amount ofproduction that the TSO is forced to cut off in the ASM market, in order tooffset injections and withdrawals and to provide reserves.
This chart refers to Basic Procuring Scenario (2025) and it represents the Non-programmable RES curtailment with VQU’s contribution into the ASM. WithVCU's available, the ASM solution can find a more efficient way toaccommodate NP-RES production, leveraging on new flexible resources, andreducing the NP-RES curtailment.
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Scenario Results
In the following session are presented the main findings of the analysis: all the results are collected
starting from the hourly output given by MODIS for the proposed scenarios.
B a s e l i n e B a s i c P r o c u r i n g
2030 - NP-RES Curtailment - GWh 2030 - NP-RES Curtailment - GWh
500 500
GSM 3rd European GRID SERVICE MARKETS Symposium
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This chart refers to Baseline Scenario (2030) and it represents the Non-programmable RES curtailment without VQU’s contribution into the ASM.This is production is not integrable in the system, and that is the amount ofproduction that the TSO is forced to cut off in the ASM market, in order tooffset injections and withdrawals and to provide reserves.
0
100
200
300
400
500
H1
H2
H3
H4
H5
H6
H7
H8
H9
H1
0
H1
1
H1
2
H1
3
H1
4
H1
5
H1
6
H1
7
H1
8
H1
9
H2
0
H2
1
H2
2
H2
3
H2
4
M1 M2 M3 M4 M5 M6 M7 M8 M9 M10 M11 M12
0
100
200
300
400
500
H1
H2
H3
H4
H5
H6
H7
H8
H9
H1
0
H1
1
H1
2
H1
3
H1
4
H1
5
H1
6
H1
7
H1
8
H1
9
H2
0
H2
1
H2
2
H2
3
H2
4
M1 M2 M3 M4 M5 M6 M7 M8 M9 M10 M11 M12
This chart refers to Basic Procuring Scenario (2030) and it represents the Non-programmable RES curtailment with VQU’s contribution into the ASM. WithVCU's available, the ASM solution can find a more efficient way toaccommodate NP-RES production, leveraging on new flexible resources, andreducing the NP-RES curtailment.
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Scenario Results
In the following session are presented the main findings of the analysis: all the results are collected
starting from the hourly output given by MODIS for the proposed scenarios.
A b o u t N P - R E S i n t e g r a t i o n f o r 2 0 2 5
NP-RES Integration - GWh VQUs contribution share - %
2500 EV
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This chart shows NP-RES integration for the Basic Procuring Scenario.Calculation has shown that the amount of NP-RES curtailment, necessary tomatch the system reserve requirement, settles down to 233 GWh from 973GWh.
This chart shows in which amount each VQUs is contributing in reducing theNP-RES curtailment. From simulation results storage system is more effectivein integrating NP-RES generation than other technologies .
973
233
740
0
500
1000
1500
2000
2500
Baseline Basic Proc.
NP-RES Curtailment RES-Integration
[VALORE]
48%49%
EV
Storage
DG, DSR, RES
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Scenario Results
In the following session are presented the main findings of the analysis: all the results are collected
starting from the hourly output given by MODIS for the proposed scenarios.
A b o u t N P - R E S i n t e g r a t i o n f o r 2 0 3 0
NP-RES Integration - GWh VQUs contribution share - %
2500 EV
GSM 3rd European GRID SERVICE MARKETS Symposium
3-4 July 2019, Lucerne SwitzerlandCESI
This chart shows NP-RES integration for the Basic Procuring Scenario.Calculation has shown that the amount of NP-RES curtailment, necessary tomatch the system reserve requirement, settles down to 382 GWh from 2.3TWh.
This chart shows in which amount each VQUs is contributing in reducing theNP-RES curtailment. From simulation results storage system is more effectivein integrating NP-RES generation than other technologies.
2318
382
1935
0
500
1000
1500
2000
2500
Baseline Basic Proc.
NP-RES Curtailment RES-Integration
[VALORE]
60%
36%
EV
Storage
DG, DSR, RES
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1.Introduction3.About Italian
ASM 4.MODIS
Simulator1
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2.Regulatory
Framework
5.Scenario
Assumptions
6.Simulation
Results2
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7.Final
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Final Remarks
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So what can we expect from VQUs operation in ASM ?
This analysis presents a new methodology and a quantitative analysis to assess the benefits that can
be achieved by the VQUs deployment in the Italian electrical system by 2025 and 2030.
Power Market Cost Saving
Thanks to the ASM cost assessment carried out by using the simulation tool MODIS the
economic benefit given by VQUs participating on the ASM market has been estimated. The
GSM 3rd European GRID SERVICE MARKETS Symposium
3-4 July 2019, Lucerne SwitzerlandCESI
amount of cost saving, respect to the total cost of the Italian ASM, is about 23 - 25 %
(respectively for 2025 and 2030).
The amount of cost saving could be further increased by enabling VQUs to provide tertiary
reserve, achieving 47-58 % (respectively for 2025 and 2030). This amount should be
understood as the highest potential achieved by enabling all VQUs available capacity.
NP-RES Integration
According to the simulation results VQUs are really effective at preventing NP-RES
curtailment, supporting national power system to accommodate a growing share of non
programmable generation.
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Contact
Marco Stabile
Senior Consultant Consulting, Solutions & Services Division
Via Rubattino, 54 - 20134 Milano (Italy)
Ph: +39 02 2125 5806
GSM 3rd European GRID SERVICE MARKETS Symposium
3-4 July 2019, Lucerne SwitzerlandCESI
Mr. Marco Stabile is a senior consultant in the energy and utility industry field. He has got his bachelor degree
in energy engineer at “Università degli studi di Pavia” and his master degree as well in Energy Engineering at
“Politecnico di Milano”, academic year 2006-2007 and he specialized in “energy production and conversion”.
After one year experience in Alstom Power Italia as plant support engineer in O&M activity of new CCGT power
plants across Italy, he started to work in CESI in 2008 on electricity power market modelling and simulation has
consultant.