陈光宇;张仰飞;郝思鹏;边二曼;李亚平;邓勇;

• 1:南京工程学院电力工程学院
• 2:国网黑龙江省电力有限公司发展策划部
• 3:中国电力科学研究院有限公司(南京)
• 4:国网福建电力调度控制中心

摘要(Abstract)：

针对短期内母线负荷波动导致无功优化控制效果不理想的问题,提出一种无功优化精细化控制方法用于缓解因控制方案滞后而导致的控制不平滑现象,并采用多目标无功优化松弛模型来改善预测控制中可能出现的电压越限和收敛性问题。为了获得最优控制方案,给出一种基于动态搜索策略的多目标混沌差分进化算法,该算法能根据种群中可行解的比例动态调整进化过程中最优解的搜索策略,提高多目标模型Pareto最优前沿的搜索能力和求解效率。IEEE 30标准节点数据仿真结果表明,多目标优化算法在最优解集,外部解收敛性,以及解集的均匀性等方面都好于经典多目标算法;真实电网数据计算表明,精细化控制方法相比传统方法能进一步减小电压偏差和网损,并提高模型的收敛性。

关键词(KeyWords)： 无功优化;母线负荷预测;精细化控制;多目标优化;松弛模型

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(51407165);; 江苏省配电网智能技术与装备协同创新中心开放基金资助项目(XTCX201713)~~

作者(Author): 陈光宇;张仰飞;郝思鹏;边二曼;李亚平;邓勇;

Email:

DOI: 10.13335/j.1000-3673.pst.2017.1376

参考文献(References)：

• [1]张元,刘明波,李清.计及直流功率日调节次数约束的交直流系统无功优化实用化方法[J].电网技术,2015,39(3):791-796.Zhang Yuan,Liu Mingbo,Li Qing.A Practical reactive power optimization method of AC/DC power grid incorporated with daily regulation constraints of DC transmission power[J].Power System Technology,2015,39(6):791-796(in Chinese).
• [2]阳育德,龚利武,韦化.大规模电网分层分区无功优化[J].电网技术,2015,39(6):1617-1622.Yang Yude,Gong Liwu,Wei Hua.Reactive power optimization of large power grid under voltage-grading and district-dividing[J].Power System Technology,2015,39(6):1617-1622(in Chinese).
• [3]邢海军,程浩忠,张逸.基于多种主动管理策略的配电网综合无功优化[J].电网技术,2015,39(6):1504-1510.Xing Haijun,Cheng Haozhong,Zhang Yi.Reactive power comprehensive optimization in distribution network based on multiple active management schemes[J].Power System Technology,2015,39(6):1504-1510(in Chinese).
• [4]汪文达,崔雪,马兴,等.考虑多个风电机组接入配电网的多目标无功优化[J].电网技术,2015,39(7):1860-1865.Wang Wenda,Cui Xue,Ma Xing,et al.Multi-objective optimal reactive power flow of distribution network with multiple wind turbines[J].Power System Technology,2015,39(7):1860-1865(in Chinese).
• [5]高菲,宋晓辉,盛万兴,等.考虑决策者偏好信息的配电网多目标无功优化研究[J].电网技术,2016,40(9):2845-2851.Gao Fei,Song Xiaohui,Sheng Wanxing,et al.Research on multi-objective reactive power optimization of distribution network considering decision maker’s preference[J].Power System Technology,2016,40(9):2845-2851(in Chinese).
• [6]李鸿鑫,李银红,陈金富,等.自适应选择进化算法的多目标无功优化方法[J].中国电机工程学报,2013,33(10):71-78.Li Hongxin,Li Yinhong,Chen Jinfu,et al.Multiple evolutionary algorithms with adaptive selection strategies for multi-objective optimal reactive power flow[J].Proceedings of the CSEE,2013,33(10):71-78(in Chinese).
• [7]李梦雨,魏熙晔.指数熔断机制加剧了市场波动吗?基于中国A股市场的自然实验[J].中央财经大学学报,2017(4):30-37.
• [8]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.
• [9]Basu M.Multi-objective optimal reactive power dispatch using multi-objective differential evolution[J].International Journal of Electrical Power and Energy Systems,2016,82(1):213-224.
• [10]Wang Y,Cai Z X,Zeng W.An adaptive tradeoff model for constrained evolutionary optimization[J].IEEE Transactions on Evolutionary Computation,2008,12(1):80-92.
• [11]Wang Y,Cai Z X,Zhang Q.Enhancing the search ability of differential evolution through orthogonal crossover[J].Information Sciences,2012,185(1):153-177.
• [12]Coelho L S,Mariari V C.Combining of chaotic differential evolution and quadratic programming for economic dispatch optimization with valve-point effect[J].IEEE Transactions on Power Systems,2006,21(2):989-996.
• [13]华罗庚,王元.数论在近代分析中的应用[M].北京:科学出版社,1978:1-99.
• [14]Shih H S,Shyur H J,Lee E S.An extension of TOPSIS for group decision making[J].Mathematical And Computer Modelling,2007,45(7):801-813.
• [15]张伯明,陈寿孙.高等电力网络分析[M].北京:清华大学出版社,1996:297-302.
• [16]Deb K,Pratap A,Agarwal S,et al.A fast and elitist multiobjective genetic algorithm:NSGA-II[J].IEEE Transactions on Evolutionary Computation,2002,6(2):182-197.
• [17]Zitzler E,Laumanns M,Thiele L.SPEA2:improving the strength pareto evolutionary algorithm[R].Lausanne,Switzerlnd:Swiss Federal Institute of Technology,2001:11-17.
• [18]Fonseca C M,Fleming P J.Multiobjective optimization and multiple constraint handling with evolutionary algorithms-Part I:A unified formulation[J].IEEE Transactions on Systems,Man,and Cybernetics-Part A:Systems and Humans,1998,28(1):26-37.
• [19]Robic T,Filipic B.DEMO:Differential evolution for multiobjective optimization[C]//Evolutionary Multi-Criterion Optimization Guanajuato.Mexico:Springer,2005:520-533.
• [20]雷德明,严新平.多目标智能优化算法及其应用[M].北京:科学出版社,2009:1-40.