Optimal Operation of AC/DC Hybrid Microgrid Based on Coevolution Improved Black Hole Algorithm

doi:10.3969/j.issn.1000－7229.2016.10.001

Abstract

Abstract: AC/DC hybrid microgrid can take complementary advantage of both AC and DC, and its optimal operation is an important research topic in area of microgrid. This paper establishes a mathematical model for the optimal operation of AC/DC hybrid microgrid with comprehensively considering economic cost and environmental cost. Based on the coevolution theory and the structural characteristics of AC/DC hybrid microgrid, a complicated optimization problem is split into two relatively independent simple problems: AC area optimization problem and DC area optimization problem. And an improved black hole algorithm is proposed to settle this optimal problem by the introduction of chaos mechanism, the inertial and velocity constraints of stars as well as improvement on the generation of initial stars. The simulation results show that the proposed coevolution improved black hole algorithm is suitable for the optimal operation problem of AC/DC hybrid microgrid with myriad and complex variables, and the better operation strategy can be reached at comprehensive operating cost as low as possible in this model, which verifies the effectiveness of the proposed algorithm.

Key words: AC/DC hybrid microgrid, optimal operation, improved black hole algorithm

CLC Number:

TM 734

DI Kaili, LI Xinming, LI Peng， XU Shaojun, SUN Jian. Optimal Operation of AC/DC Hybrid Microgrid Based on Coevolution Improved Black Hole Algorithm[J]. Electric Power Construction, 2016, 37(10): 1-.

References

［1］LASSETER R H. Microgrids ［C］//Power Engineering Society Winter Meeting 2002.New York：IEEE，2002：305-308. ［2］王成山，李鹏.分布式发电、微网与智能配电网的发展与挑战［J］.电力系统自动化，2010，34(2)：10-14. WANG Chengshan，LI Peng.Development and challenges of distributed generation, the microgrid and smart distribution system ［J］.Automation of Electric Power Systems，2010，34(2)：10-14. ［3］赵猛，丁晓群，刘远龙，等.考虑负荷中断的微网并网经济调度［J］.电力建设，2016，37(4)：57-62. ZHAO Meng，DING Xiaoqun，LIU Yuanlong，et al.Economic dispatch of grid-connected microgrid considering load interrupution ［J］.Electric Power Construction ，2016，37(4)：57-62. ［4］余志勇，万术来，明志勇，等.“风光水”互补微电网的运行优化［J］.电力建设，2014，35(6)：50-55. YU Zhiyong，WAN Shulai，MING Zhiyong，et al.Optimal operation of complementary microgrid with hybrid wing-solar-hydro power ［J］.Electric Power Construction，2010，2014，35(6)：50-55. ［5］尹忠东，王超.分布式风电接入交直流混合配电网的研究［J］.电力建设，2016，37(5)：63-68. YIN Zhongdong，WANG Chao.AC/DC hybrid distribution network with distributed wind farm ［J］.Electric Power Construction，2016，37(5)：-68. ［6］刘耀华，裴玮，杨艳红，等.多端直流的交直流配电网潮流计算［J］.电力建设，2016，37(5)：83-90. LIU Yaohua，PEI Wei，YANG Yanhong，et al.Power flow calculations for AC/DC hybrid distribution network with multi-terminal DC ［J］.Electric Power Construction，2016，37(5)：83-90. ［7］LOH P C，LI D，CHAI Y K，et al.Autonomous control of interlinking converter with energy storage in hybrid AC-DC microgrid ［J］.IEEE Transactions on Industry Applications，2013，49(3)：1374-1382. ［8］EGHTEDARPOUR N，FARJAH E. Power control and management in a hybrid AC/DC microgrid ［J］.IEEE Transactions on Smart Grid，2014，5(3)：1494-1505. ［9］陆晓楠，孙凯，GUERRERO J，等.适用于交直流混合微网的直流分层控制系统［J］.电工技术学报，2013，28(4)：35-42. LU Xiaonan，SUN Kai，GUERRERO J，et al. DC hierarchical control system for microgrid applications ［J］.Transactions of China Electrotechnical Society，2013，28(4)：35-42. ［10］汪洋，夏清，康重庆.机组组合算法中起作用整数变量的辨识方法［J］.中国电机工程学报，2010，30(13)：46-52. WANG Yang，XIA Qing，KANG Chongqing.Identification of the active integer variables in security constrained unit commitment ［J］.Proceeding of the CSEE，2010，30(13)：46-52. ［11］吴雄，王秀丽，王建学，等.微网经济调度问题的混合整数规划方法［J］.中国电机工程学报，2013，33(28)：1-8. WU Xiong，WANG Xiuli，WANG Jianxue，et al.Economic generation scheduling of a microgrid using mixed integer programming ［J］.Proceedings of the CSEE，2013，33(28)：1-8. ［12］王瑞琪，李珂，张承慧，等.基于多目标混沌量子遗传算法的分布式电源规划［J］.电网技术，2011，35(12)：183-189. WANG Ruiqi，LI Ke，ZHANG Chenghui，et al.Distributed generation planning based on multi objective chaotic quantum genetic algorithm ［J］.Power System Technology，2011，35(12)：183-189. ［13］宁阳天，李相俊，麻秀范，等.基于改进粒子群算法的微网动态经济调度算法［J］.电力建设，2014，35(6)：26-30. NING Yangtian，LI Xiangjun，MA Xiufan，et al.Microgrid dynamic economic dispatch based on improved particle swarm optimization ［J］.Electric Power Construction，2010，35(6)：26-30. ［14］胡美玉，胡志坚，史梦梦.基于改进粒子群优化算法的 DG 准入容量与优化布置［J］.电力建设，2014，35(12)：111-115. HU Meiyu，HU Zhijian，SHI Mengmeng.Penetration level and optimize layout of distributed generation based on improved particle swarm optimization algroithm ［J］.Electric Power Construction，2014，35(12)：111-115. ［15］BALHO H K，ROSS B.Coarse-grained distributed optimal power flow ［J］.IEEE Transactions on Power Systems，1997，12 (2)：932- 939. ［16］汤亚芳，陈曦，程浩忠.基于协同进化算法的配电网故障阶段式恢复策略［J］.电网技术，2008，32(16)：71-75. TANG Yafang，CHEN Xi，CHENG Haozhong.A phased faultrestoration algorithm for distribution system based onco-evolutionary algorithm of PSO and SA ［J］.Power System Technology，2008，32(16)：71-75. ［17］马溪原，吴耀文，方华亮，等.采用改进细菌觅食算法的风/光/储混合微电网电源优化配置［J］.中国电机工程学报，2011，31(25)：17-25. MA Xiyuan，WU Yaowen，FANG Hualiang，et al.Optimal sizing of hybrid solar-wind distributed generation in an islanded microgrid using improved bacterial foraging algorithm ［J］.Proceeding of the CSEE，2011，31(25)：17-25. ［18］POTTER M A， DE JONG K A.Cooperative coevolution：an architecture for evolving coadapted subcomponents ［J］.Evolutionary Computation，2000，8(1)：1-29. ［19］巩敦卫.协同进化遗传算法理论及应用［M］.北京：科学出版社，2009. ［20］ABODOLREZA H.Black hole：a new heuristic optimization approach for data clustering ［J］.Information Sciences，2013：175-184. ［21］LENIN K，REDDY B R，KALABATHI M S. Black hole algorithm for solving optimal reactive power dispatch problem ［J］.International Journal of Research in Management，Science & Technology，2014，2(1)：10-15. ［22］HASAN Z，EL-HAWARY M E.Optimal power flow by black hole optimization algorithm ［C］//Electrical Power and Energy Conference (EPEC) 2014.Calgary：IEEE，2014：134-141. ［23］刘静，罗先觉.采用多目标随机黑洞粒子群优化算法的环境经济发电调度［J］.中国电机工程学报，2010，30(34)：105-111. LIU Jing，LUO Xianjue.Environmental economic dispatching adopting multiobjective random black-hole particle swarm optimization algorithm ［J］.Proceeding of the CSEE，2010，30(34)：105-111.

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