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 >> 往年索引

基于模擬退火算法的模型預(yù)測控制策略

來源:電工電氣發(fā)布時(shí)間:2023-10-17 16:17 瀏覽次數(shù):264

基于模擬退火算法的模型預(yù)測控制策略

譚學(xué)武1,鄧木生2,彭思程1,程諄2
(1 湖南工業(yè)大學(xué) 電氣與信息工程學(xué)院,湖南 株洲 412007;
2 湖南鐵道職業(yè)技術(shù)學(xué)院 智能制造學(xué)院,湖南 株洲 412001)
 
    摘 要:傳統(tǒng)的模型預(yù)測控制 (MPC) 存在權(quán)重因子無法準(zhǔn)確設(shè)計(jì)、開關(guān)狀態(tài)循環(huán)預(yù)測以及響應(yīng)速度慢的問題。提出了一種基于模擬退火 (SA) 算法的模型預(yù)測控制策略 (SA-MPC),通過建立預(yù)測模型和構(gòu)造目標(biāo)函數(shù),采用 SA 后臺(tái)直接全局尋優(yōu),實(shí)現(xiàn)環(huán)流控制和 SM 電容電壓均壓控制。所提策略無需整定權(quán)重因子,無需循環(huán)試湊開關(guān)狀態(tài),提升了響應(yīng)速度和精度,有效抑制了相間環(huán)流和降低了子模塊電壓波動(dòng)幅度。通過搭建模塊化多電平換流器 (MMC) 系統(tǒng)模型,仿真驗(yàn)證了所提策略的可行性與有效性。
    關(guān)鍵詞: 模塊化多電平換流器;模擬退火算法;模型預(yù)測控制;環(huán)流抑制;SM 電容均壓
    中圖分類號(hào):TM743     文獻(xiàn)標(biāo)識(shí)碼:A     文章編號(hào):1007-3175(2023)09-0014-06
 
Model Predictive Control Strategy Based on the
Simulated Annealing Algorithm
 
TAN Xue-wu1, DENG Mu-sheng2, PENG Si-cheng1, CHENG Zhun2
(1 College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China;
2 School of Intelligent Manufacturing of Rail Transit Equipment, Hunan Railway Professional Technology College, Zhuzhou 412001,China)
 
    Abstract: The traditional Model Predictive Control (MPC) has problems of inaccurately designed weight factors, circularly predicted switching states and slow response speed, so the paper proposes a Model Predictive Control strategy based on the Simulated Annealing Algorithm (SA-MPC). It first establishes a predictive model and constructs an objective function, and then adopts SA in the background to directly achieve global optimization, realizing circulating current control and SM capacitor voltage equalization control. This proposed strategy has no need to set weight factors and cyclically try to find the switching state, so it increases the response speed and accuracy, effectively suppressing the interphase circulating current and reducing the sub-module voltage fluctuation amplitude. Finally, the Modular Multilevel Converter (MMC) system simulation model is built to verify the feasibility and effectiveness of the proposed strategy.
    Key words: modular multilevel converter; simulated annealing algorithm; model predictive control; circulating current suppression; SM capacitor voltage equalization
 
參考文獻(xiàn)
[1] 高媛,楊炳元,李東升. 柔性直流供電網(wǎng)絡(luò)的電流保護(hù)適用性分析[J]. 電工電氣,2021(7) :17-23.
[2] 張?jiān)诿罚瑒⑵G. 配電網(wǎng)電力電子變壓器技術(shù)綜述[J].電工電氣,2021(7) :5-11.
[3] 邢勐,顧明,葛賢軍. 基于模塊化多電平換流器拓撲的靜止同步補(bǔ)償器非線性控制策略[J] . 科學(xué)技術(shù)與工程,2020,20(36) :14956-14960.
[4] 李明德,鄧子豪,黃海,等. 基于 MMC 的電機(jī)驅(qū)動(dòng)新型控制方法[J]. 微電機(jī),2021,54(10) :98-101.
[5] 朱經(jīng)緯,付文軒. 模塊化多電平變換器模型預(yù)測控制策略研究[J]. 電氣傳動(dòng),2017,47(5) :18-21.
[6] 蔣謙,黃志豪,程啟明,等. 基于 MMC 的 PET 中間隔離級(jí) DC-DC 變換器的新型模型預(yù)測控制策略[J].電力建設(shè),2022,43(4) :49-57.
[7] 王雙嶺,陳會(huì)鴿. 混合子模塊型模塊化多電平變換器 MPC 設(shè)計(jì)[J]. 電力系統(tǒng)及其自動(dòng)化學(xué)報(bào),2022,34(6) :126-134.
[8] 張明光,李波. 基于 MPC 的 MMC-HVDC 子模塊均壓控制策略[J]. 電氣自動(dòng)化,2018,40(5) :66-69.
[9] 王禎,尹項(xiàng)根,陳玉,等. 基于連續(xù)控制集模型預(yù)測控制的 MMC 橋臂電流控制策略[J] . 電力系統(tǒng)自動(dòng)化,2020,44(10) :85-91.
[10] 趙偉,袁至,王維慶,等. 基于附加電平 MPC 的 MMC 環(huán)流抑制與子模塊雙重均壓控制[J] . 智慧電力,2022,50(3) :57-64.
[11] QIN Jiangchao, SAEEDIFARD Maryam.Predictive Control of a Modular Multilevel Converter for a Back-to-Back HVDC System[J].IEEE Transactions on Power Delivery,2012,27(3) :1538-1547.
[12] VATANI M, BAHRANI B, SAEEDIFARD M, et al.Indirect Finite Control Set Model Predictive Control of Modular Multilevel Converters[J].IEEE Transactions on Smart Grid,2015,6(3) :1520-1529.
[13] GUTIERREZ B, KWAK S.Modular Multilevel Converters (MMCs) Controlled by Model Predictive Control with Reduced Calculation Burden [J] . IEEE Transactions on Power Electronics,2018,33(11) :9176-9187.
[14] 陶雪峰,陳媛媛,葉磊,等. 模塊化多電平變換器快速模型預(yù)測控制器設(shè)計(jì)[J] . 電氣傳動(dòng),2020,50(10) :72-78.
[15] ZHAN S, LIN J, ZHANG Z, et al.List-based simulated annealing algorithm for traveling salesman problem[J].Computational Intelligence and Neuroscience,2016,2016 :1712630.
[16] 董浩楠,焦瑞莉,黃敏松. 模擬退火算法優(yōu)化的 BP 神經(jīng)網(wǎng)絡(luò)的云粒子形狀自動(dòng)識(shí)別方法[J] . 現(xiàn)代電子技術(shù),2022,45(12) :143-148.
[17] 劉瑞杰,齊嘉慧,劉莎. 模擬退火算法在水下電場反演中的應(yīng)用[J] . 艦船電子工程,2022,42(1) :155-157.
[18] 趙炳巍,賈峰,曹巖,等. 基于模擬退火算法的人工勢場法路徑規(guī)劃研究[J] . 計(jì)算機(jī)工程與科學(xué),2022,44(4) :746-752.
[19] 王凌. 智能優(yōu)化算法及其應(yīng)用[M] . 北京:清華大學(xué)出版社,2004.
[20] 江加和,宋子善,沈?yàn)槿?,? 模擬退火算法在連續(xù)變量全局優(yōu)化問題中應(yīng)用[J] . 北京航空航天大學(xué)學(xué)報(bào),2001,27(5) :556-559.