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

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 PROSUMERS’ IMPACT ON THE ELECTRICITY SYSTEM HOUSEHOLD ANNUAL ELECTRICITY COST VS. SYSTEM OPERATIONAL COST OPTIMIZATION

WHAT DOES THE FUTURE ELECTRICITY CONSUMER LOOK LIKE? SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

Modelling of cost optimal operation of a large share of PV battery systems - on Swedish residential dwellings - within the Nordic electricity generation system - in the year 2032 - from a household as well as a system - perspective 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 SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

Modelling of cost optimal operation of a large share of PV battery systems - on Swedish residential dwellings - within the Nordic electricity generation system - in the year 2032 - from a household as well as a system - perspective Motivation  Decreasing costs of PV and batteries  Perfectly scalable  suitable also for different kinds of small customers SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

STRUCTURE OF THIS PRESENTATION Method and Study Set-Up  Household operational patterns do not comply with max system value at all times RESULTS - 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 Summary biggest value for households with PV battery systems is the diurnal shifting of electricity 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 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 SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

European electricity dispatch model Optimal battery operation pattern EPOD System perspective Electricity prices FEEDBACK Load curves (considering BESS) Household electricity cost optimization Optimal battery operation pattern model Household perspective Optimal investment in battery and PV capacity (used in both cases) SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

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

Total system operational costs lower under system optimization case System benefit from batteries eg:  Avoid start-up costs  Different utilization of available generation Resource utilization and operation cost difference System Opt Household Opt Difference in % Total costs [M € ] 27 350 27 380 -0.12 StUp costs Powerplants 861 872 -1.31 [M € ] Total annual system operational costs all regions Household Opt Case System Opt Case uses more fuel type uses more fuel type SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

Resource utilization and operation cost difference  Due to different battery charge and discharge patterns 2 weeks in summer 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 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 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 of electricity SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

Utilization of of batteries much lower under summer time during system optimization - Storage as a service ? - System optimization during winter time – household utilization during summer time ? Average Charge per hour - SE 4 Average Charge per hour - SE 3 0,100 0,300 0,090 0,250 0,080 0,070 0,200 0,060 0,050 0,150 0,040 0,100 0,030 0,020 0,050 0,010 0,000 0,000 System Household System Household WINTER [GWh/h] SUMMER [GWh/h] WINTER [GWh/h] SUMMER [GWh/h] SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

Is it worth paying households to operate batteries from system perspective during winter time ? Increasing costs, from full control over operation of batteries t Summer Household Control Whole Year 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  Biggest value from battery for Benefit from operating battery during season: households in summer Summer Winter  Still system value in winter Household perspective -356.2 -123.3 M € /year considerably lower than System perspective -11.7 M € /year household value 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 of electricity 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 SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

System – Battery used to minimize system operational costs Household – diurnal charging patters for PV electricity SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24

Minimal savings in total system operational costs Climate Market Scenario – less volatile prices: Household Difference in System Opt From system perspective Opt % Batteries most beneficial in a Total costs [M € ] 43 880 43 8890 -0.013 system with high share or RES StUp Costs [M € ] 568.9 568.7 0.035 From household perspective Lower capacity (compared to GP scenario) of PV and batteries - Less fluctuating generation and marginal prices beneficial to decrease annual - Lower value of batteries to be scheduled after system electricity costs optimum - Lower investment in battery and PV capacity from household side SAEE Luleå, 2016, Impact of Prosumers on the Electricity System Verena Heinisch, 2016-08-24