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

Article retrieval

文章檢索

首頁 >> 文章檢索 >> 文章瀏覽排名

基于目標(biāo)級(jí)聯(lián)分析法的多區(qū)域電力系統(tǒng)分散優(yōu)化調(diào)度

來源:電工電氣發(fā)布時(shí)間:2020-11-19 15:19 瀏覽次數(shù):743
基于目標(biāo)級(jí)聯(lián)分析法的多區(qū)域電力系統(tǒng)分散優(yōu)化調(diào)度
 
夏云睿1,朱建全1,2
(1 華南理工大學(xué) 電力學(xué)院,廣東 廣州 510640;2 電力系統(tǒng)及大型發(fā)電設(shè)備安全控制和仿真國家重點(diǎn)實(shí)驗(yàn)室,北京 100084)
 
    摘 要:針對(duì)多區(qū)域互聯(lián)電力系統(tǒng)的經(jīng)濟(jì)調(diào)度問題,研究了一種基于目標(biāo)級(jí)聯(lián)分析法的分散優(yōu)化求解方法。根據(jù)區(qū)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(qū)域經(jīng)濟(jì)調(diào)度的集中優(yōu)化模型解耦為分散優(yōu)化模型。利用增廣拉格朗日函數(shù)對(duì)各個(gè)區(qū)域的調(diào)度子問題進(jìn)行分散優(yōu)化,并根據(jù)耦合變量引入上層協(xié)調(diào)器,對(duì)各個(gè)區(qū)域的優(yōu)化結(jié)果進(jìn)行協(xié)調(diào),具有較快的收斂速度和較高的計(jì)算精度。通過2 區(qū)域6 節(jié)點(diǎn)系統(tǒng)和數(shù)個(gè)IEEE 多區(qū)域系統(tǒng)的算例分析,從多個(gè)角度驗(yàn)證了算法的有效性。
    關(guān)鍵詞:電力經(jīng)濟(jì)調(diào)度;區(qū)域解耦;分散優(yōu)化;目標(biāo)級(jí)聯(lián)分析法
    中圖分類號(hào):TM711     文獻(xiàn)標(biāo)識(shí)碼:A     文章編號(hào):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(xiàn)
[1] 賴曉文,鐘海旺,楊軍峰,等. 基于價(jià)格響應(yīng)函數(shù)的超大電網(wǎng)分解協(xié)調(diào)優(yōu)化方法[J]. 電力系統(tǒng)自動(dòng)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(qū)域無功優(yōu)化分解協(xié)調(diào)算法[J]. 電力系統(tǒng)自動(dòng)化,2010,34(14):63-69.
[6] 劉志文,劉明波,林舜江. REI等值技術(shù)在多區(qū)域無功優(yōu)化計(jì)算中的應(yīng)用[J]. 電工技術(shù)學(xué)報(bào),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(nèi)點(diǎn)法的分區(qū)并行最優(yōu)潮流算法[J]. 西安交通大學(xué)學(xué)報(bào),2006,40(4):468-472.
[9] 劉寶英,楊仁剛. 采用輔助問題原理的多分區(qū)并行無功優(yōu)化算法[J]. 中國電機(jī)工程學(xué)報(bào),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(biāo)級(jí)聯(lián)分析法的多微網(wǎng)主動(dòng)配電系統(tǒng)自治優(yōu)化經(jīng)濟(jì)調(diào)度[J]. 中國電機(jī)工程學(xué)報(bào),2017,37(17):4911-4921.
[12] 朱濤,朱建全,劉明波,等. 含風(fēng)電場(chǎng)電力系統(tǒng)的動(dòng)態(tài)經(jīng)濟(jì)調(diào)度分散隨機(jī)優(yōu)化方法[J]. 電力系統(tǒng)自動(dòng)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(biāo)級(jí)聯(lián)分析法在完全競(jìng)爭(zhēng)發(fā)電市場(chǎng)迭代競(jìng)價(jià)機(jī)制中的應(yīng)用[J]. 電力系統(tǒng)自動(dòng)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(duì)比分析[J]. 電網(wǎng)技術(shù),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.