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

Article retrieval

文章檢索

首頁 >> 文章檢索 >> 往年索引

基于目標級聯分析法的多區域電力系統分散優化調度

來源:電工電氣發布時間:2020-11-19 15:19 瀏覽次數:92
基于目標級聯分析法的多區域電力系統分散優化調度
 
夏云睿1,朱建全1,2
(1 華南理工大學 電力學院,廣東 廣州 510640;2 電力系統及大型發電設備安全控制和仿真國家重點實驗室,北京 100084)
 
    摘 要:針對多區域互聯電力系統的經濟調度問題,研究了一種基于目標級聯分析法的分散優化求解方法。根據區域解耦原理,以直流潮流模型下的電壓相角作為耦合變量,將多區域經濟調度的集中優化模型解耦為分散優化模型。利用增廣拉格朗日函數對各個區域的調度子問題進行分散優化,并根據耦合變量引入上層協調器,對各個區域的優化結果進行協調,具有較快的收斂速度和較高的計算精度。通過2 區域6 節點系統和數個IEEE 多區域系統的算例分析,從多個角度驗證了算法的有效性。
    關鍵詞:電力經濟調度;區域解耦;分散優化;目標級聯分析法
    中圖分類號:TM711     文獻標識碼:A     文章編號:1007-3175(2020)11-0010-06
 
Decentralized Optimal Dispatch of Multi-Area Power Systems Based on Analytical Target Cascading
 
XIA Yun-rui1, ZHU Jian-quan1,2
(1 School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China;
2 State Key Laboratory of Control and Simulation of Power System and Generation Equipment, Beijing 100084, China)
 
    Abstract: A decentralized optimization strategy based on the analytical target cascading is studied to solve the economic dispatch problem of multi-area interconnected power system. According to the principle of area decoupling, the voltage phase angle of the DC power flow model is selected as the coupling variables. The centralized optimization model of multi-area economic dispatch is transformed into the decentralized ones. Then, each is solved by the augmented Lagrange function with fast convergence and high accuracy. To coordinate the optimization results of each area, an upper level coordinator is introduced based on the coupling variables. Case studies on a 2-area and 6-bus system, as well as IEEE multi-area systems demonstrate the effectiveness of the algorithm.
    Key words: electrical economic dispatch; area decoupling; decentralized optimization; analytical target cascading
 
參考文獻
[1] 賴曉文,鐘海旺,楊軍峰,等. 基于價格響應函數的超大電網分解協調優化方法[J]. 電力系統自動化,2013,37(21):60-65.
[2] ZHANG Z, CHOW M Y.Convergence analysis of the incremental cost consensus algorithm under different communication network topologies in a smart grid[J].IEEE Transactions on Power Systems,2012,27(4):1761-1768.
[3] BERTSEKAS D P, TSITSIKLIS J N.Parallel and Distributed Computation: Numerical Methods[M].Upper Saddle River:Prentice Hall,1989.
[4] CONEJO A J, NOGALES F J, PRIETO F J. A decomposition procedure based on approximate Newton directions[J]. Mathematical Programming,2002,93(3):495-515.
[5] 劉志文,劉明波. 基于Ward等值的多區域無功優化分解協調算法[J]. 電力系統自動化,2010,34(14):63-69.
[6] 劉志文,劉明波,林舜江. REI等值技術在多區域無功優化計算中的應用[J]. 電工技術學報,2011,26(11):191-200.
[7] COHEN G.Auxiliary problem principle and decomposition of optimization problems[J]. Journal of Optimization Theory & Applications,1980,32(3):277-305.
[8] 商小樂,李建華,劉銳,等. 基于輔助問題原理及內點法的分區并行最優潮流算法[J]. 西安交通大學學報,2006,40(4):468-472.
[9] 劉寶英,楊仁剛. 采用輔助問題原理的多分區并行無功優化算法[J]. 中國電機工程學報,2009,29(7):47-51.
[10] KIM H M.Target Cascading in Optimal System Design[D].Ann Arbor:University of Michigan, 2001.
[11] 謝敏,吉祥,柯少佳,等. 基于目標級聯分析法的多微網主動配電系統自治優化經濟調度[J]. 中國電機工程學報,2017,37(17):4911-4921.
[12] 朱濤,朱建全,劉明波,等. 含風電場電力系統的動態經濟調度分散隨機優化方法[J]. 電力系統自動化,2017,41(11):48-54.
[13] KARGARIAN A, FU Y, LI Z.Distributed Security-Constrained Unit Commitment for Large-Scale Power Systems[J].IEEE Transactions on Power Systems,2015,30(4):1925-1936.
[14] 謝敏,胡昕彤,劉明波. 目標級聯分析法在完全競爭發電市場迭代競價機制中的應用[J]. 電力系統自動化,2020,44(6):106-112.
[15] 趙晉泉,葉君玲,鄧勇. 直流潮流與交流潮流的對比分析[J]. 電網技術,2012,36(10):147-152.
[16] MICHELENA N, PARK H, PAPALAMBROS P Y. Convergence properties of analytical target cascading[J]. AIAA Journal,2003,41(5):897-905.
[17] GRIGG C.The IEEE reliability test system:1996[C]//IEEE Winter Power Meeting,1996.

 

日本免费A∨片免费,日本毛X片免费视频观看视频,一区二区国产高清视频在线,国产国语三级级在线电影