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A multi-area intra-day dispatch strategy for power systems under high share of renewable energy with power support capacity assessment

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  • Ye, Lin
  • Jin, Yifei
  • Wang, Kaifeng
  • Chen, Wei
  • Wang, Fei
  • Dai, Binhua

Abstract

Long-distance power support through High-voltage Direct Current (HVDC) has provided feasible solutions for power dispatch and control problems in multi-area power systems under high share of renewable energy. In this paper, an advanced multi-area intra-day dispatch strategy for power systems with high penetration of renewable energy considering power support capacity is established to increase the accommodation of wind power and enhance the stability of the power system. At first, a novel assessment method of regional active power support capacity is carried out in this paper, which can sufficiently quantify the regional power margin (RPM), the DC dispatchable power (DCDP), and the regional power support distance (RPSD) of a power system. Subsequently, a multi-area intra-day dispatch strategy based on power support capacity analysis is proposed, where constraints on conventional units, wind farms, transmission lines, and RPSD are developed. Finally, to enable the development of the dispatch model, a model predictive control (MPC) scheme is used to update the power support capacity indicators dynamically and improve model reliability. The effectiveness and superiority of the proposed strategy are verified by case studies. Numerical results show a 7.02% cost reduction and overload risk reduction by using the proposed strategy compared to conventional global optimization methods.

Suggested Citation

  • Ye, Lin & Jin, Yifei & Wang, Kaifeng & Chen, Wei & Wang, Fei & Dai, Binhua, 2023. "A multi-area intra-day dispatch strategy for power systems under high share of renewable energy with power support capacity assessment," Applied Energy, Elsevier, vol. 351(C).
    • Handle: RePEc:eee:appene:v:351:y:2023:i:c:s0306261923012308
    DOI: 10.1016/j.apenergy.2023.121866
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    References listed on IDEAS

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    1. Shi, Jiantao & Guo, Ye & Wu, Wenchuan & Sun, Hongbin, 2024. "Scenario-oriented multi-area joint market clearing of energy and reserve under uncertainty," Applied Energy, Elsevier, vol. 361(C).

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