Development of ESS Scheduling Algorithm to Maximize the Potential Profitability of PV Generation Supplier in South Korea

  • Kong, Junhyuk ;
  • Jufri, Fauzan Hanif ;
  • Kang, Byung O ;
  • Jung, Jaesung
  • Received : 2018.04.30
  • Accepted : 2018.08.29
  • Published : 2018.11.01


Under the current policies and compensation rules in South Korea, Photovoltaic (PV) generation supplier can maximize the profit by combining PV generation with Energy Storage System (ESS). However, the existing operational strategy of ESS is not able to maximize the profit due to the limitation of ESS capacity. In this paper, new ESS scheduling algorithm is introduced by utilizing the System Marginal Price (SMP) and PV generation forecasting to maximize the profits of PV generation supplier. The proposed algorithm determines the charging time of ESS by ranking the charging schedule from low to high SMP when PV generation is more than enough to charge ESS. The discharging time of ESS is determined by ranking the discharging schedule from high to low SMP when ESS energy is not enough to maintain the discharging. To compensate forecasting error, the algorithm is updated every hour to apply the up-to-date information. The simulation is performed to verify the effectiveness of the proposed algorithm by using actual PV generation and ESS information.


Wind power producers;Energy storage system;Day-ahead market;Progressive hedging method;Offer curve;Rolling horizon method;Multi-stage stochastic optimization


Supported by : Korea Institute of Energy Technology Evaluation and Planning (KETEP)