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Coordinated Planning of Power Systems under Uncertain Characteristics Based on the Multilinear Monte Carlo Method

Author

Listed:
  • Lang Zhao

    (Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
    State Grid Economic and Technological Research Institute Co., Ltd., Beijing 100005, China)

  • Yuan Zeng

    (Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China)

  • Yizheng Li

    (State Grid Economic and Technological Research Institute Co., Ltd., Beijing 100005, China)

  • Dong Peng

    (State Grid Economic and Technological Research Institute Co., Ltd., Beijing 100005, China)

  • Yao Wang

    (Economic and Technical Research Institute of State Grid Shanxi Electric Power Company, Taiyuan 030001, China)

Abstract

The randomness of the power supply side and the load side of comprehensive energy systems is increasingly prominent. It is very difficult to meet demand through traditional planning methods. To solve this problem, this paper explores the coordinated planning of a power system under uncertain characteristics using the multilinear Monte Carlo method. The uncertain characteristic model and probability density function of the system’s power supply side and load side are established. Taking the optimal operating cost and the maximum wind power consumption as the system planning objectives, a system coordination planning scheme is established, and it is solved by multilinear Monte Carlo simulation. The superiority of this method is verified by taking the modified IEEE 39-bus test system as an example. This method can provide a reference for system planning.

Suggested Citation

  • Lang Zhao & Yuan Zeng & Yizheng Li & Dong Peng & Yao Wang, 2023. "Coordinated Planning of Power Systems under Uncertain Characteristics Based on the Multilinear Monte Carlo Method," Energies, MDPI, vol. 16(23), pages 1-15, November.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:23:p:7761-:d:1287317
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