一种基于混沌序列的动态差分进化算法在电力系统动态经济调度中的应用

doi:10.11930/j.issn.1004-9649.2016.06.101.06

中国电力 ›› 2016, Vol. 49 ›› Issue (6): 101-106.DOI: 10.11930/j.issn.1004-9649.2016.06.101.06

一种基于混沌序列的动态差分进化算法在电力系统动态经济调度中的应用

陈光宇¹，丁晓群¹，边二曼²

1. 河海大学能源与电气学院，江苏南京 211100;
2. 黑龙江省电力有限公司电力调度控制中心，黑龙江哈尔滨 150090

收稿日期:2015-12-08 修回日期:2016-06-16 出版日期:2016-06-16 发布日期:2016-06-16
作者简介:陈光宇(1980-)，男，江苏南京人，博士研究生，从事电力系统运行与控制，电网经济调度及无功优化研究。

Dynamic Differential Evolution Algorithm Based on Chaotic Sequences for Dynamic Economic Dispatch Problem of Power System

CHEN Guangyu¹, DING Xiaoqun¹, BIAN Erman²

1. College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China;
2. Electric Power Dispatching and Control Center, Heilongjiang Electric Power Co., Ltd., Harbin 150090, China

Received:2015-12-08 Revised:2016-06-16 Online:2016-06-16 Published:2016-06-16

摘要/Abstract

摘要： 针对电力系统动态经济调度(DED)问题，引入差分进化算法，提出一种基于混沌序列的动态差分进化算法(ＡＤＤＥＣＳ)。该算法采用混沌序列动态调整差分进化算法的参数设置，保持种群的多样性。动态搜索策略被用于提高算法的整体搜索性能，它由全局搜索策略和局部搜索策略2部分组成。为了加速收敛和解决DED复杂的约束处理问题，采用基于多目标概念的约束处理机制，并提出一种根据机组调节能力来按比例分摊不可行解约束违反量的新方法。同时在搜索过程中，通过采用不同的变异策略结合改进的随机搜索策略来避免算法早熟,增强全局最优解的搜索能力。提出的方法的可行性和有效性由10机测试系统来证明，和其他方法相比，ADDECS方法计算速度快，计算精度高且鲁棒性强。

关键词: 动态经济调度, 混沌序列, 差分进化, 动态搜索策略, 约束处理

Abstract: Differential evolution (DE) algorithm is applied to solve dynamic economic dispatch (DED) problem and a dynamic differential evolution based on chaotic sequences (ADDECS) is proposed. Chaotic sequences is used in dynamic parameter settings adjustment in DE to keep population diversity. Dynamic search strategies including both global and local search strategy are used to improve algorithm efficiency. To accelerate convergence and deal with complicated constraints of DED problem, constrained process mechanism based on multi-objective concepts is adopted. A new constraint process approach is proposed to allocate infeasible constraint violation proportionally among units according to their regulatory abilities. At the same time, different mutation strategies and improved random search are used to guide population evolution and to enhance global search ability. The feasibility and effectiveness of proposed method is verified on a 10-unit test system. Compared with other methods, ADDECS can obtain better solutions in shorter computational time along with higher robustness.

Key words: dynamic economic dispatch, chaotic sequences, differential evolution, dynamic search strategy, constraint handle

中图分类号:

TM761

陈光宇，丁晓群，边二曼. 一种基于混沌序列的动态差分进化算法在电力系统动态经济调度中的应用[J]. 中国电力, 2016, 49(6): 101-106.

CHEN Guangyu, DING Xiaoqun, BIAN Erman. Dynamic Differential Evolution Algorithm Based on Chaotic Sequences for Dynamic Economic Dispatch Problem of Power System[J]. Electric Power, 2016, 49(6): 101-106.

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https://www.electricpower.com.cn/CN/Y2016/V49/I6/101

参考文献

[1] XIA X, ELAIW A M． Optimal dynamic economic dispatch of generation: A review[J]． Electric Power Systems Research, 2010, 80(8): 975-986．
[2] JABR R A, COONICK A H, CORY B J． A homogeneous linear programming algorithm for the security constrained economic dispatch problem[J]． IEEE Trans on Power System, 2000, 15(3):930-937．
[3] CHEN Chunlung． Non-convex economic dispatch: a direct search approach[J]． Energy Conversion and Management, 2007, 48(1):219-225．
[4] 高亚静，赵开轩，张占龙，等．含风电场与电动汽车充换电站的电力系统经济调度[J]. 中国电力，2013，46(11):84-88．
GAO Yajing, ZHAO Kaixuan, ZHANG Zhanlong, et al. Power system economic dispatch containing wind power and electric vehicle battery swap station [J]. Electric Power, 2013, 46(11): 84-88.
[5] 刘卓，黄纯，郭振华，等．饱和度自适应微分进化算法在电力经济调度中的应用[J]．电网技术，2011，35(2):100-104．
LIU Zhuo, HUANG Chun, GUO Zhenhua, et al． The application of saturation and adaptive differential evolution algorithm in economic dispatching of power grid [J]． Power System Technology, 2011, 35(2): 100-104．
[6] STORN R, PRICE K． Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces[J]． Journal of Global Optimization, 1997, 11(4): 341-359．
[7] ATTAVIRIYANUPAP P, KITA H, TANAKA Eiichi, et al． A hybrid EP and SQP for dynamic economic dispatch with non- smooth fuel cost function[J]． IEEE Trans on Power Systems, 2002, 17(2): 411-416．
[8] VICTOIRE T A A, JEYAKUMAR A E． A modified hybrid EP-SQP approach for dynamic dispatch with valve-point effect[J]．International Journal of Electrical Power and Energy Systems，2005, 27(8): 594-601．
[9] VICTOIRE T A A, JEYAKUMAR A E． Deterministically guided PSO for dynamic dispatch considering valve-point effect[J]．Electric Power Systems Research, 2005, 73(3): 313-322, Mar 2005.
[10] LU Youlin, ZHOU Jianzhong, QIN Hui, et al． An adaptive hybrid differential evolution algorithm for dynamic economic dispatch with valve-point effects[J]． Expert Systems with Applications,2010, 37(7): 4842-4849．
[11] IMMANUEL S A． Enhanced cross-entropy method for dynamic economic dispatch with valve-point effects[J]． International Journal of Electrical Power and Energy Systems, 2011, 33(3):783-790．
[12] CAI Zixing, WANG Yong． A multiobjective optimization-based evolutionary algorithm for constrained optimization [J]． IEEE Trans on Evolutionary Computation, 2006, 10(6): 658-675．
[13] IMMANUEL S A, THANUSHKODI K. A new particle swarm optimization solution to nonconvex economic dispatch problems [J]. IEEE Trans on Power System, 2007, 22(1): 42-51．
[14] WANG Ying, ZHOU Jianzhong, LU Youlin, et al． Chaotic self- adaptive particle swarm optimization algorithm for dynamic economic dispatch problem with valve-point effects[J]． Expert Systems with Applications, 2011, 38(11): 14231-14237．
[15] HEMAMALINI S, SIMON S P． Dynamic economic dispatch using artificial immune system for units with valve-point effect[J]．International Journal of Electrical Power and Energy Systems，2011, 33(4): 868-874．
[16] NIKNAM T, GOLESTANEH F. Enhanced adaptive particle swarm optimization algorithm for dynamic economic dispatch of units considering valve-point effects and ramp rates[J]. IET Generation Transmission & Distribution, 2012, 6(5): 424-435.

一种基于混沌序列的动态差分进化算法在电力系统动态经济调度中的应用

Dynamic Differential Evolution Algorithm Based on Chaotic Sequences for Dynamic Economic Dispatch Problem of Power System

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一种基于混沌序列的动态差分进化算法在电力系统动态经济调度中的应用

Dynamic Differential Evolution Algorithm Based on Chaotic Sequences for Dynamic Economic Dispatch Problem of Power System

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