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Optimal Dispatching Method for Power System Considering the Flexibility of BESS and PHES
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Chen FU1, Fei FEI1, Jianjun WANG1, Mingxing GUO1, Shunfu LIN2, Qi ZHANG2
Electric Drive | 2024, 54(6) : 29 - 36
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Electric Drive | 2024, 54(6): 29-36
Optimal Dispatching Method for Power System Considering the Flexibility of BESS and PHES
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Chen FU1, Fei FEI1, Jianjun WANG1, Mingxing GUO1, Shunfu LIN2, Qi ZHANG2
Affiliations
  • 1 Economic Research Institute，State Grid Shanghai Electric Power Company，Shanghai 200233，China
  • 2 College of Electrical Engineering，Shanghai University of Electric Power，Shanghai 200090，China
Published: 2024-06-20 doi: 10.19457/j.1001-2095.dqcd24312
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Making full use of the regulation of flexible resources can effectively suppress the fluctuation of renewable energy generation and ensure the economic and safe operation of power system. An optimal dispatching method for power system considering the flexibility of battery energy storage systems （BESS）and pumped hydro energy storage （PHES）was proposed. Based on the establishment of the flexible ramp-up （FRU）and flexible ramp-down （FRD）requirement model，a mixed-integer linear problem （MILP）based temporal day-ahead security-constrained unit commitment and re-dispatch with the objective of minimizing the cost of energy，reserve，and flexible ramp products （FRP）was formulated for the studies，which was solved using CPLEX solver. The IEEE-RTS-24 node system was taken as an example and the proposed model was studied on 4 cases to verify that the proposed method can effectively improve the operational flexibility of power system and reduce operating cost.

battery energy storage systems （BESS）  /  pumped hydro energy storage（PHES）  /  flexible ramp products （FRP）  /  mixed-integer linear problem （MILP）  /  optimal dispatch
Chen FU, Fei FEI, Jianjun WANG, Mingxing GUO, Shunfu LIN, Qi ZHANG. Optimal Dispatching Method for Power System Considering the Flexibility of BESS and PHES[J]. Electric Drive, 2024 , 54 (6) : 29 -36 . DOI: 10.19457/j.1001-2095.dqcd24312
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Article Info
doi: 10.19457/j.1001-2095.dqcd24312
  • Receive Date：2022-04-17
  • Online Date：2025-11-26
  • Published：2024-06-20
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History
  • Received：2022-04-17
  • Revised：2022-05-19
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    1 Economic Research Institute，State Grid Shanghai Electric Power Company，Shanghai 200233，China
    2 College of Electrical Engineering，Shanghai University of Electric Power，Shanghai 200090，China
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