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      Suzhou Electric Appliance Research Institute
      期刊號: CN32-1800/TM| ISSN1007-3175

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      基于改進近似動態規劃的安全約束機組組合算法

      來源:電工電氣發布時間:2024-03-11 10:11 瀏覽次數:21

      基于改進近似動態規劃的安全約束機組組合算法

      曾愷, 朱建全
      (華南理工大學 電力學院,廣東 廣州 510640)
       
          摘 要:針對電力系統的安全約束機組組合問題,提出了一種基于改進近似動態規劃的求解算法。考慮到安全約束機組組合是一個多時段混合整數非線性規劃問題,難以直接求解,所提算法將其建模成馬爾可夫決策過程,并利用近似動態規劃實現解耦求解。為了處理近似動態規劃決策空間過大的問題,所提算法通過決策空間縮減技術提前獲得大部分機組的開停機狀態,有效提高求解效率。在 IEEE 39 節點系統和一個實際系統上進行了算例分析,驗證了所提算法的有效性。
          關鍵詞: 安全約束機組組合;混合整數非線性規劃;近似動態規劃;決策空間縮減技術
          中圖分類號:TM715 ;TM76     文獻標識碼:A     文章編號:1007-3175(2024)02-0001-07
       
      A Security-Constrained Unit Commitment Algorithm Based on
      Improved Approximate Dynamic Programming
       
      ZENG Kai, ZHU Jian-quan
      (School of Electric Power Engireering, South China University of Technology, Guangzhou 510640, China)
       
          Abstract: In this paper, an improved approximate dynamic programming algorithm is proposed for the security-constrained unit commitment in power systems. First, considering security-constrained unit commitment is a multi-period mixed integer non-linear programming problem, which is difficult to solve directly, the proposed algorithm models it into a Markov decision process, and uses approximate dynamic programming to achieve decoupling. Then, in order to deal with the problem of excessive decision-making space for approximate dynamic programming, the proposed algorithm obtains the start-up and shut-down states of most units in advance through the decision space reduction technique, which effectively improves the solution efficiency. Finally, case studies are conducted on the IEEE 39-bus system and a practical system to validate the effectiveness of the proposed algorithm.
          Key words: security-constrained unit commitment; mixed integer non-linear programming; approximate dynamic programming; decision space reduction technique
       
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