Optimal sizing and operating strategies for VSG based BESS in ancillary service market

Jian Tang Liao, Po Yi Chen, Hong Tzer Yang

研究成果: Conference article同行評審


In response to growing power demand and rising environmental awareness, renewable energy (RE) resources are becoming increasingly common. However, the power output of RE is intermittent, as it strongly depends on the weather conditions; this increases the difficulties for the system operator (SO) to maintain the system frequency. This paper proposes an optimal sizing and operating strategy for a battery energy storage system (BESS) which integrates with virtual synchronous generator (VSG) technologies to participate in ancillary service (AS) market. The proposed method improves the traditional dual-stage architecture of BESS capacity planning problem to speed-up computation. However, the dimension and complexity of the optimization problem would increase accordingly. Therefore, the Electron Drifting Algorithm (eDA) is proposed to solve the proposed optimization problem and improve the quality of solution. To verify the feasibility, the IEEE 30-bus test system is employed for dynamic analysis by using the dynamic power system simulation software DIgSILENT PowerFactory. This paper provides a new business model to promote investments in BESS, not only yielding economic benefits, but also effectively increasing the robustness of the grid and further accommodating additional RE.

期刊E3S Web of Conferences
出版狀態Published - 2018 十一月 27
事件2018 International Conference Green Energy and Smart Grids, GESG 2018 - Irkutsk, Cape Hadartha, Russian Federation
持續時間: 2018 七月 272018 八月 2

All Science Journal Classification (ASJC) codes

  • 環境科學 (全部)
  • 能源(全部)
  • 地球與行星科學(全部)


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