PROSUMERS IMPACT ON THE ELECTRICITY SYSTEM HOUSEHOLD ANNUAL - - PowerPoint PPT Presentation

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PROSUMERS IMPACT ON THE ELECTRICITY SYSTEM HOUSEHOLD ANNUAL - - PowerPoint PPT Presentation

Jan 22, 2023 420 likes •808 views

VERENA HEINISCH Chalmers University of Technology, Gteborg, Sweden Department of Energy and Environment Divion of Energy Technology, Energy Systems Group Research on techno-economic energy systems modelling, centralized and decentralized

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PROSUMERS’ IMPACT ON THE ELECTRICITY SYSTEM

VERENA HEINISCH

Chalmers University of Technology, Göteborg, Sweden

Department of Energy and Environment Divion of Energy Technology, Energy Systems Group Research on techno-economic energy systems modelling, centralized and decentralized developments in electricity systems, prosumers and micro-generation Project funded within the ”Forskarskolan Energisystem” by Energimyndigheten

verena.heinisch@chalmers.se

HOUSEHOLD ANNUAL ELECTRICITY COST

  • VS. SYSTEM OPERATIONAL COST OPTIMIZATION
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SLIDE 2

SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

WHAT DOES THE FUTURE ELECTRICITY CONSUMER LOOK LIKE?

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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

  • Produce
  • electricity from household PV panel
  • Store
  • e.g. diurnal shifting of energy to

make use of their PV production behind the meter

  • Buy & Sell - from and to energy utility

 PROSUMERS

Modelling of cost optimal operation

  • f a large share of PV battery systems
  • n Swedish residential dwellings
  • within the Nordic electricity generation system
  • in the year 2032
  • from a household as well as a system

perspective

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SLIDE 4

SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

 Decreasing costs of PV and

batteries  Perfectly scalable  suitable also for different kinds of small customers

Motivation Modelling of cost optimal operation

  • f a large share of PV battery systems
  • n Swedish residential dwellings
  • within the Nordic electricity generation system
  • in the year 2032
  • from a household as well as a system

perspective

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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

 Household operational patterns do not comply with max system value at all times

  • Capacity value for system vs. energy value of batteries for

household

  • Difference in system operational costs and resource utilization

 Seasonal differences in charge and discharge patterns exist for system

and households

 Volatile marginal prices increase the system value of batteries while the

biggest value for households with PV battery systems is the diurnal shifting

  • f electricity

Method and Study Set-Up Summary STRUCTURE OF THIS PRESENTATION

RESULTS

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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

European electricity dispatch model EPOD

Household electricity cost optimization

model

Optimizing total costs for Electricity generation to fulfill demand

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SLIDE 7

SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

European electricity dispatch model EPOD

Household electricity cost optimization

model

Optimizing total costs for Electricity generation to fulfill demand Optimizing household annual electricity costs

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SLIDE 8

SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

European electricity dispatch model EPOD

Household electricity cost optimization

model FEEDBACK

Electricity prices Load curves

(considering BESS)

Optimal battery

  • peration pattern

System perspective

Optimal battery

  • peration pattern

Household perspective

Optimal investment in battery and PV capacity

(used in both cases)

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SLIDE 9

SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

 Household operational patterns do not comply with max system value at all times

  • Capacity value for system vs. energy value of batteries for

household

  • Difference in system operational costs and resource utilization

 Seasonal differences in charge and discharge patterns exist for system

and households

 Volatile marginal prices increase the system value of batteries while the

biggest value for households with PV battery systems is the diurnal shifting

  • f electricity

RESULTS

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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

System Opt Household Opt Difference in % Total costs [M€] 27 350 27 380

  • 0.12

StUp costs Powerplants [M€] 861 872

  • 1.31

Total system operational costs lower under system

  • ptimization case

Total annual system operational costs all regions

System benefit from batteries eg:  Avoid start-up costs  Different utilization of available

generation

Resource utilization and operation cost difference

System Opt Case uses more fuel type Household Opt Case uses more fuel type

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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

Resource utilization and

  • peration cost

difference

 Due to different battery charge and discharge patterns

2 weeks in summer

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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

Household

  • keeping PV

generation behind the meter

  • diurnal charge

pattern

System

  • Optimized electricity

generation

  • Low marginal costs
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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

More occasions with low charging from household perspective operation

System: few times, charging high amounts Households: regularly, lower amounts Energy vs. Capacity Value of Batteries

Frequency of Charging amount per hour

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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

 Household operational patterns do not comply with max system value at all times

  • Capacity value for system vs. energy value of batteries for

household

  • Difference in system operational costs and resource utilization

 Seasonal differences in charge and discharge patterns exist for system

and households

 Volatile marginal prices increase the system value of batteries while the

biggest value for households with PV battery systems is the diurnal shifting

  • f electricity
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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24 0,000 0,010 0,020 0,030 0,040 0,050 0,060 0,070 0,080 0,090 0,100 System Household

Average Charge per hour - SE 4

WINTER [GWh/h] SUMMER [GWh/h] 0,000 0,050 0,100 0,150 0,200 0,250 0,300 System Household

Average Charge per hour - SE 3

WINTER [GWh/h] SUMMER [GWh/h]

Utilization of of batteries much lower under summer time during system

  • ptimization
  • Storage as a service ?
  • System optimization during winter time – household utilization during summer

time ?

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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

Summer Winter

Household perspective

  • 356.2
  • 123.3

M€/year

System perspective

  • 11.7

M€/year

Benefit from operating battery during season:

Control Whole Year Summer Household Winter System Operation No Control Batteries

Total system costs

27 350 27 370 27 380 M€/year

Household annual el. costs

1790 1913 2270 M€/year

Increasing costs, from full control over operation of batteries t

Is it worth paying households to operate batteries from system perspective during winter time ?

 Biggest value from battery for

households in summer

 Still system value in winter

considerably lower than

household value

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SLIDE 17

SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

 Household operational patterns do not comply with max system value at all times

  • Capacity value for system vs. energy value of batteries for

household

  • Difference in system operational costs and resource utilization

 Seasonal differences in charge and discharge patterns exist for system

and households

 Volatile marginal prices increase the system value of batteries while the

biggest value for households with PV battery systems is the diurnal shifting

  • f electricity
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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

Marginal Prices Green Policy Scenario (goal for RES)

  • More fluctuating and

higher prices in winter hours

  • Higher price hours for

household optimization case

Climate Market Scenario (cap on CO2)

  • Less fluctuating marginal

prices than above scenario

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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

System – Battery used to

minimize system

  • perational costs

Household – diurnal

charging patters for PV electricity

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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

System Opt Household Opt Difference in % Total costs [M€] 43 880 43 8890

  • 0.013

StUp Costs [M€] 568.9 568.7 0.035

Minimal savings in total system operational costs

From system perspective

Batteries most beneficial in a system with high share or RES

From household perspective

Lower capacity (compared to GP scenario) of PV and batteries beneficial to decrease annual electricity costs

  • Less fluctuating generation and marginal prices
  • Lower value of batteries to be scheduled after system
  • ptimum
  • Lower investment in battery and PV capacity from

household side Climate Market Scenario – less volatile prices:

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SLIDE 21

SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

 Household operational patterns do not comply with max system value at all times

  • Capacity value for system vs. energy value of batteries for

household

  • Difference in system operational costs and resource utilization

 Seasonal differences in charge and discharge patterns exist for system

and households

 Volatile marginal prices increase the system value of batteries while the

biggest value for households with PV battery systems is the diurnal shifting

  • f electricity

SUMMARY

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SLIDE 22

PROSUMERS’ IMPACT ON THE ELECTRICITY SYSTEM

VERENA HEINISCH

Chalmers University of Technology, Göteborg, Sweden

Department of Energy and Environment Divion of Energy Technology, Energy Systems Group Research on techno-economic energy systems modelling, centralized and decentralized developments in electricity systems, prosumers and micro-generation Project funded within the ”Forskarskolan Energisystem” by Energimyndigheten

verena.heinisch@chalmers.se

HOUSEHOLD ANNUAL ELECTRICITY COST

  • VS. SYSTEM OPERATIONAL COST OPTIMIZATION
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SLIDE 23

SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

European electricity dispatch model EPOD

Household electricity cost optimization

model FEEDBACK

Electricity prices Load curves

(considering BESS)

Optimal battery

  • peration pattern

System perspective

Optimal battery

  • peration pattern

Household perspective

  • Year 2032, Green policy ( renewables, variable prices) & Climate Market (cap on

emissions) scenario

  • Measured load data from several thousand Swedish households (EON) – scale up

depending on type

  • Solar generation profile and discharge efficiency for batteries
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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

European electricity dispatch model EPOD

Household electricity cost optimization

model FEEDBACK

Electricity prices Load curves

(considering BESS)

Optimal battery

  • peration pattern

System perspective

Optimal battery

  • peration pattern

Household perspective Value of battery system to the system and to the household “Storage as a service”

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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

  • Battery Capacity

SE4  1.98 GW SE3  5.97 GW

  • PV Capacity

SE4  1.82 GW SE3  6.23 GW

Household Capacity Investment

PV and load profile aggregated per region

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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

Charge (positive – green) Discharge (negative – red) Patterns

  • Less times of battery

utilization from system

  • ptimization

perspective

  • But utilizing full

capacity

  • Regular diurnal

pattern to store PV generation in household

  • ptimization case
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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

Include NoBatPlusPV and NoBatnoPV Cases????

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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

AVERAGE SELF SUFFICIENCY  SE1 32,2 %  SE2 24,3 %

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SLIDE 33

SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

European electricity dispatch model EPOD

50 regions in Europe, 3 hour time stpes

DC load flow represantation

Ramping/start up costs & limitations for thermal power

Representation regional storage limitation of Nordic hydro power

…

Power plant data base Resources description Scenarios

Investment model ELIN

Dispatch model EPOD

Power grid & Electricity Trade PV/DSM household level Transport system and district heating Prosumers

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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

  • Very ambitious

renewables policy

  • EC “High

renewable”

  • Climate , RES and

efficiency polices

  • EC “High energy

efficiency”

  • International

carbon trade

  • EC “Diversified

supply techn.”, “High GDP”

  • Existing policy

measures

  • EC ”Current policy”

Refe- rence Climate market Green policy Regional policy

Technological dimension Policy dimension

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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

SE4

System Household YEAR [GWh] 459 724 WINTER [GWh] 291 359 SUMMER [GWh] 168 365

SE3

System Household YEAR [GWh] 1313 2227 WINTER [GWh] 784 1119 SUMMER [GWh] 529 1108

100 200 300 400 500 600 700 800 System Household

Battery Charge - SE 4

YEAR [GWh] WINTER [GWh] SUMMER [GWh] 500 1000 1500 2000 2500 System Household

Battery Charge - SE 3

YEAR [GWh] WINTER [GWh] SUMMER [GWh]

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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

Summer Winter

Household perspective

  • 356,23
  • 123,28

M€/year

System perspective

  • 11,65

M€/year

Benefit from operating battery during season:

27330 27340 27350 27360 27370 27380 27390 Control Whole Year Summer Household Winter System Operation No Control Batteries

Total system costs

500 1000 1500 2000 2500 Control Whole Year Summer Household Winter System Operation No Control Batteries

Household annual el costs

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SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

Continuation of the Study

  • Residential battery PV systems also in other geographical areas
  • Consider prosumers with different objectives (self-sufficiency etc.)
  • Smaller scale – Case Study Region/Community – less aggregation in

modelling

  • Consider behavioral complexity of prosumers (intangible costs, bounded

rationality, …)