Optimal Scheduling of PV and Battery Storage at Distribution Network considering Grid Tariffs

With the decreasing cost of PV and battery storage, many consumers in distribution networks are now becoming prosumers. Controlling prosumers is an enabling solution of satisfying network constraints via prosumers' flexible consumption/production. In addition to energy price, the grid tariffs c...

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Bibliographic Details
Published inIET Conference Proceedings
Main Authors Hou, Peng, Douglass, PJ, Yang, Guangya, Hielsen, AH
Format Conference Proceeding
LanguageEnglish
Published Stevenage The Institution of Engineering & Technology 11.11.2018
Subjects
Batteries
Electricity pricing
Energy storage
Mathematical programming
Optimization
Power consumption
Schedules
Tariffs
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Summary:With the decreasing cost of PV and battery storage, many consumers in distribution networks are now becoming prosumers. Controlling prosumers is an enabling solution of satisfying network constraints via prosumers' flexible consumption/production. In addition to energy price, the grid tariffs comprise a large proportion of electricity bill in Denmark, and thus should be given full consideration in the optimization of operational strategy. In this paper, prosumers with PV and battery storage optimize their schedule via a supplier considering the grid tariffs' influences. Taking into account the impact of negative electricity prices, PV curtailment phenomenon is modeled in the formulation of the optimization problem. The battery's charging/discharging schedule is optimized in conjunction with PV curtailment using the MILP mathematical programming method. Different case studies are analyzed in simulations to emphasize the significance of tariff model for incentivizing flexibility. The simulation results show that if prosumers can control their own resources, then 74.49% electricity payment can be saved.
ISBN:178561942X
9781785619427
DOI:10.1049/cp.2018.1791