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HAL Id: cea-03211004

https://hal-cea.archives-ouvertes.fr/cea-03211004

Submitted on 28 Apr 2021

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Smart grids and photovoltaics: perspectives of photovoltaics on the power exchange

Bruno Robisson, Alexandre Mignonac

To cite this version:

Bruno Robisson, Alexandre Mignonac. Smart grids and photovoltaics: perspectives of photovoltaics on the power exchange. Introducing massive amount of photovoltaic and wind energies in the electric grids, MCAST, May 2019, Saint-Paul Lez Durance, France. �cea-03211004�

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www.cea.fr www.cea.fr

SMART GRIDS AND PHOTOVOLTAICS:

PERSPECTIVES OF

PHOTOVOLTAICS ON THE POWER EXCHANGE

21 MAY 2019

BRUNO ROBISSON – ALEXANDRE MIGNONAC Workshop Jump2Excel

Introducing massive amount of photovoltaic and

wind energies in the electric grids

(3)

20 MAI 201920 MAI 2019

SCHEDULE

P 2

Panorama of the electrical system

Generators characteristics and associated “products”

Using these “products” to balance the system

Opportunities of PV plants in markets

(4)

PANORAMA: MAIN ACTORS

Consumers Distribution-

System Operator (DSO)

Transmission- system

operators (TSO) Generators

P hy si ca l in fr as tr u ct ur e Suppliers

M a rk et

Market Operators

R eg ul at o r

Money

Electricity

• COMPETITIVENESS: improve the efficiency of the European energy grid

• SUSTAINABILITY: actively combat climate change

• SECURITY OF SUPPLY : better coordinate the EU's supply of and demand for energy

(5)

20 MAI 201920 MAI 2019

PANORAMA: ENERGY MARKET

The electricity supply must be equal to the electricity demand at all times (i.e. on a second-by-second basis), otherwise the system risks to break down

Energy market

→ gaps between load and generation.

BUT neither party can meet its contractual obligations with perfect accuracy.

P 4

Due to

• Forecast production or consumption errors

• Unpredictable problems

Buyers

Sellers

(6)

PANORAMA: BALANCING MARKET

Energy market

A balancing market has been set up to bridge this gap quickly and precisely.

Balancing Market

~98% of Volumes

~2% of Volumes Imbalance costs

(to Balance responsible

Parties (BRP) )

(7)

20 MAI 201920 MAI 2019

TEMPORAL STRUCTURE

« Planning phase » « Settlement phase »

H H+1

H-1

Delivery period

Only TSO can act on consumption and production Neutralization time

Real-time

Long-term

energy markets (forward)

Short term energy markets

(day-ahead, intraday) Weeks before

Delivery period

Imbalance costs are dispatched between Balance Responsible Parties

Balancing market

Days before Delivery period

« Execution phase »

Imbalance settlement Market

players can’t modify their positions

P 6

(8)

GENERATORS CHARACTERISTICS

Electricity Generators produce electricity → direct valorization through energy market

Type of fuel : renewable versus non-renewables resources

→ direct valorization of renewable energy through guarantees of origin (not described in this presentation)

CO

2

emissions: Low-carbon energy sources versus fossil fuels.

→ indirect valorization through carbon price (not described in this presentation)

1/2h Time

Power output (MW)

PMin

Energy

(MWh)

PMax

(9)

20 MAI 201920 MAI 2019

GENERATORS CHARACTERISTICS

Generation capacity : the maximum power they generators can produce.

Capacity (law) :

Coefficient

« Photovoltaics » sector

Peak hours of Stress Peak Days (SPD)

Available Power During SPD

Certified Capacity Level PMAX

0.1*PMAX

0 0

*0.25

P 8

From measurements

Capacity certificates

→ direct valorization through the capacity market

Each supplier is required to obtain sufficient capacity guarantees to cover the consumption of all of their customers during periods of peak national demand.

[7h00 ; 15h00[

[18h00 ; 20h00[

(10)

GENERATOR: FLEXIBILITY

1/2h Time Power output (MW)

Setpoint UPWARD DOWNWARD Full Activation Time

Order

Hold time

« The generator is committed to increase (resp. decrease) from SetPoint its power production up to UPWARD MW (resp. downto DOWNWARD MW) during at most X minutes (“hold time”) if a command order is sent Y minutes in advance (“Full Activation Time –FAT” )»

100

10

Flexibility :

(11)

20 MAI 201920 MAI 2019

GENERATOR: FLEXIBILITY

Valorization depends of the Full Activation Time (FAT):

• FAT>= ~ 1h = « slow-flexibility » → implicit valorization in the energy market

• FAT< ~1h = « fast-flexibility » → explicit valorization in the balancing service market

Sold to the TSO

Balancing Service Provider (BSP) in the European Union Internal Electricity Market is a market participant providing Balancing Services to its Connecting TSO.

Different « reserve/balancing » products:

• Frequency Containment Reserve (FCR): FAT ~ 10 s, Hold Time = few minutes

• automatic Frequency Restoration Reserve (aFRR): FAT ~ 5-6 min , Hold Time = few minutes

• manual Frequency Restoration Reserve (mFRR): FAT ~ 13-15min , Hold Time = few hours

• Recovery Reserve (RR): FAT ~ 30min , Hold Time = few hours

P 10

Balancing capacity

Balancing energy

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20 MAI 201920 MAI 2019

BALANCING ENERGY

1/2h Time Power

output (MW)

Setpoint Up

Down

Market potential values

Upward

Balancing Energy (MWh)

Downward Balancing Energy (MWh) TSO Order:

+10MWh

-15MWh

Decrease -15MW @+1h00 during 1h Increase +10MW @+1h00 during 1h

Balancing energy : energy used by Transmission System Operators (TSOs) to perform balancing and provided by the Balancing Service Provider (BSP).

P 11

100MW

10MW

TSO Order:

16h 18h

(13)

20 MAI 201920 MAI 2019

BALANCING CAPACITY

1/2h Time Power

output (MW)

Setpoint 50MW Down

@30€/MWh

Market potential values

Upward Balancing CAPACITY (MW)

Downward Balancing CAPACITY (MW)

16h

Balancing capacity : a volume of capacity that a Balancing Service Provider (BSP) has agreed to hold to the transmission system operator for the duration of the

contract. The BSP has also agreed to submit bids for a corresponding volume of balancing energy.

18h

P 12

100MW 20MW Up

@50€/MWh

10MW

(14)

SYSTEM BALANCING: EXAMPLE

• S1 is a supplier who owns 2 generators (G1 a biomass plant and G2 a solar plant) and who supplies consumers

• S1 is a Balance Responsible Party (BRP)

• S1 is a Balancing Service Provider (BSP)

• S2 is a supplier who owns generators and who supplies consumers and BRP

• The generators and consumers are connected through the public grid

Consumers of S1

P 13

Generator G1 (of S1)

Generator G2 (of S1)

Consumers of S2

Focus on delivery time = 16h-17h the 21/05/2019

Generators (of S2)

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20 MAI 201920 MAI 2019

PLANNING PHASE (S1): ENERGY PROVIDING

Supplier S1 as BRP

From several months in advance to 15h@21/05/2019

• S1, as supplier, estimates the sum of the power consumption of his consumers at 16h-17h the 21/05/2019

• S1, as generators owner, estimates the energy which may be produced by his generators.

• S1, as BRP, purchases/sells energy from/to another supplier/utility owner to set

‘energy imbalance’ as close as possible to zero (« Self dispatch »).

= +

21/05/2019 @16h-17h

+

Energy Imbalance

P 14

Generator G2

Energy

Generator G1

Energy

Energy

Consumers of S1

(16)

PLANNING PHASE (TSO): BALANCING ENERGY AND CAPACITY PROVIDING

From several months in advance to 15h@21/05/2019

• TSO estimates the need of balancing capacity (resp. energy) for the whole network

• TSO purchases this amount of capacity (resp. energy) to. BSP (here S1)

+

+ ‘Balance Energy’

imbalance

+

+ ‘Balance Capacity’

imbalance

Generator G2 Generator G1

Balancing Capacity Balancing

Energy Balancing

Capacity Balancing

Energy

Balancing Energy

Balancing Capacity

System Operator

S1 as BSP (with G1 and G2)

S1 as BSP (with G1 and G2)

(17)

20 MAI 201920 MAI 2019

EXAMPLE OF PLANNING PHASE

Generator G2 of S1

Energy=30 BE=0

Generator G1 of S1

Energy=100

BE=0 Energy=130

Consumers of S1 Supplier S1 as

balance responsible

+ +

Energy Imbalance=0 kwh

Planning phase for delivery of 16h-17h@21/05/2019 i.e. before 15h@21/05/2019

Energy=200 + + Energy=200

Energy Imbalance= 0 kwh

Generators of S2

Supplier S2 as balance responsible

Consumers of S2

BC=+/-20

BC=-10

P 16

(18)

20 MAI 201920 MAI 2019

EXECUTION PHASE: CASE ‘UP’

Generator G2

Energy=30

Generator G1

Energy=100

Energy=130

Consumers of S1 Supplier S1 as

balance responsible

+ +

Energy Imbalance=0 MWh

Execution phase of 16h-17h@21/05/2019 i.e. during 15h-17h@21/05/2019

Energy=190 + + Energy=200

Energy Imbalance= 10 MWh

Generators of

Supplier S2 Supplier S2 as

balance responsible

Consumers of S2

Production issue in a generator of S2

BE=0 BC=+/-20

BE=0 BC=-10

P 17

(19)

20 MAI 201920 MAI 2019

EXECUTION PHASE : CASE ‘UP’

Consumers of S1

Generator G2

Energy=30

Generator G1

Energy=100

Energy=130

Supplier S1 as balance responsible

+ +

Energy Imbalance=0 kwh

Execution phase of 16h-17h@21/05/2019 i.e. during 15h-17h@21/05/2019

Energy=190 + + Energy=200

Energy Imbalance= 10 MWh

Generators of S2

Supplier S2 as balance responsible

Consumers of S2

BE=0 BC=+/-20

BE=0 BC=-10

-SO anticipates/detects this imbalance of -10 MWh in the entire network

-To equilibrate, SO asks S1 (as BSP) to produce +10 MWh (activation of 10 MW of

‘upward reserve’ during 1 hour)

P 18

(20)

20 MAI 201920 MAI 2019

EXECUTION PHASE : CASE ‘UP’

Generator G2: 30MWh

Energy=30

Generator G1: 90MWh

Energy=100

Energy=130

Consumer of S1 Supplier S1 as balance responsible

+ +

Energy Imbalance=0 kwh

Execution phase of 16h-17h@21/05/2019 i.e. during 15h-17h@21/05/2019

Energy=190 + + Energy=200

Energy Imbalance= 10 MWh

Generators of

Supplier S2 Supplier S2 as balance responsible Consumers of S2

BE=10 BC=+/-20

BE=0 BC=-10

+

S1 produces exactly +10MWh

+

BE Imbalance=0

10MWh

No more imbalance in the entire network

M W h

P 19

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20 MAI 201920 MAI 2019

SETTLEMENT PHASE : CASE ‘UP’

Generator G2

Energy

Generator G1

Energy

Energy

Consumers of S1 Supplier S1

+ +

Energy Imbalance

Settlement phase of 16h-17h@21/05/2019 i.e. after 17h@21/05/2019

Energy + + Energy

Energy Imbalance

Generators of

Supplier S2 Supplier S2 Consumers of S2

BE BC

BE BC

-SO pays S1

- for the Balancing Capacity commitment,

- for the 10 MWh of Balancing Energy @X€/MWh -SO charges S2 for the 10 MWh of energy imbalance @ (X+a)€/MWh

X€/MWh

(« >day ahead price »)

+ +

BE Imbalance

(X+a)€/MWh

(« >day ahead price »)

€ €

P 20

(22)

20 MAI 201920 MAI 2019

EXECUTION PHASE: CASE ‘DOWN’

Consumers of S1

Generator G2

Energy=30

Generator G1

Energy=100

Energy=130

Supplier S1 as balance responsible

+ +

Energy Imbalance=0 kwh

Execution time of 16h-17h@21/05/2019 i.e. during 15h-17h@21/05/2019

Energy=200 + + + Energy=190

Energy Imbalance= -10 MWh

Generators of

Supplier S2 Supplier S2 as balance responsible Consumers of S2

BE=0 BC=+/-20

BE=0 BC=-10

-SO anticipates/detects this imbalance of +10 MWh in the entire network

-To equilibrate, SO asks S1 (as BSP) to reduce its production of 10 MW during 1h

P 21

Less

consumption

(23)

20 MAI 201920 MAI 2019

EXECUTION PHASE: CASE ‘DOWN’

Consumer of S1

Generator G2 : 20MWh Supplier S2

Energy=30

Generator G1: 100MWh

Energy=100 Energy=0

Energy=130

Supplier S1 as balance responsible

+ +

Energy Imbalance=0 kwh

During ‘execution time’ of 16h-17h@21/05/2019 i.e. during 15h-17h@21/05/2019

Energy=200 + + Energy=190

Energy Imbalance= -10 MWh

Generators of

Supplier S2 Supplier S2 as balance responsible

Consumers of S2

BE=0 BC=+/-20

BE=-10 BC=-10

+

S1 ‘produces’ exactly -10MWh

BE Imbalance=0 +

-10MWh

No more imbalance in the entire network

M W h

P 22

(24)

20 MAI 201920 MAI 2019

SETTLEMENT PHASE : CASE ‘DOWN’

Generator G2 Supplier S2

Energy

Generator G1

Energy Energy

Energy

Consumers of S1 Supplier S1 as

balance responsible

+ +

Energy Imbalance

Settlement phase of 16h-17h@21/05/2019 i.e. after 17h@21/05/2019

Energy + + Energy

Energy Imbalance

Generators of

Supplier S2 Supplier S2 as balance responsible Consumers of S2

BE BC

BE BC

-SO pays S1 for the Balancing Capacity commitments -SO charges S1 for the 10MWh of Balancing Energy

@Y€/MWh

-SO pays S4 for the 10MWh of Energy Imbalance

@(Y-a)€/MWh

Y€/MWh

(« < day ahead price »)

+ +

BE Imbalance

(Y-a)€/MWh (« < day ahead price »)

€ €

P 23

(25)

20 MAI 201920 MAI 2019

16h 17h

30MW Production

Time

Energy (30MWh) Setpoint

16h 17h

30MW Production

Time Case 2: With downward reserve

10MW downward

Revenus Charges

Energy (30MWh)

Downward Balancing

capacity (10MW downward)

Downward Balancing energy

(5*3/4 MWh)

DOWNWARD RESERVE REVENUES

Case 1: Without reserve

Setpoint

20MW 25MW

Activation of -5MW during 45 min

Plant owner has to buy

P 24

downward reserve

(26)

20 MAI 201920 MAI 2019

Downward balancing Energy (5/4 MWh)

Revenues Charges

UPWARD AND DOWNWARD RESERVE REVENUES

16h 17h

30MW Production

Time Case 3: With upward and downward reserve

10MW upward balancing capacity

10MW downward balancing capacity 20MW

Energy

(20MWh=30-UBC)

Upward balancing Energy (10/4MWh) Downward balancing capacity (10MW)

Upward Balancing Capacities (10MW) 15MW

Activation of - 5MW during 15 min

Activation of - 10MW during 15 min

Voluntary decrease of production to guarantee upward Balancing Capacity

Plant owner has to buy

P 25

downward reserve

(27)

20 MAI 201920 MAI 2019 P 26

Capacity markets :

• Low potential revenues because the peak load is not in phase with solar production Energy Markets :

• Revenues of Solar energy : market price + capacity + “complement of remuneration”

• Downward regulation activated by the energy supplier could be cost-effective, for example, in case of negative prices on spot markets (case [A])

• Need of reliable production forecast to reduce Energy Imbalance (of BRP) Balancing Markets :

• Downward reserve : cost-effective if Downward Balancing Capacity incomes is greater than Balancing Energy charges

• Upward reserve: a priori not interesting because the voluntary decrease of production to deliver upward Balancing Capacity is very costly (except in case [A])

• Need of reliable production forecast to reduce Balancing Energy Imbalance and to maximize Balancing Capacity (of BSP)

ACTUAL

Producer’s revenues depend, among others, on the price of capacity, of energy, of

balancing capacities, of balancing energy and of the sale of guarantees of origin.

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PROSPECTIVE

Very difficult (even impossible?) to forecast the energy producer’s revenues in the long term. But, the relative value of the balancing energy compared to the value of the energy could increase with the increase of renewables in the production mixt.

Capacity markets :

• Revenues could increase if the peak load becomes in phase with the solar

production (due to air-conditionning or big changes in power consumption habits) Energy Markets :

• Revenues of Solar energy: market price + capacity+ “complement of remuneration”

Balancing Markets :

• Very low response time of PV systems could be valorized for balancing mecanism

in the future (for example in fast frequency response, i.e. FAT ~ 2s )

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