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考虑场景发生概率的柔性约束电网规划模型 被引量:42

ELECTRIC POWER NETWORK FLEXIBLE PLANNING MODEL BASED ON THE PROBABILITY OF SCENE OCCURRENCE
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摘要 分析了场景规划技术、盲数规划、线路被选概率等电网灵活规划现有方法所存在的问题和不足。在新的柔性约束电网规划基础上提出了2种新的电网灵活规划模型:造价期望最优模型和各场景最优方案综合偏离程度最小模型。这2种模型均基于未来场景的不确定性,从场景的发生概率和方案对场景的适应程度出发,不追求规划方案在特定场景下的最优,而寻求各场景下的综合最优方案。所得规划方案具有概率意义上对各场景的最佳适应性。算例结果表明了该模型的有效性。 The deficiency of the currently exist flexible electrical network planning, such as multi-scenario method, blind number planning, selected probability method are analyzed. Novel flexible electrical network-planning models, which are based on future scenes uncertainty and flexible constraints, are proposed. In which, one is the optimization model of expansion cost expectation; the other one is the model of minimizing deviation from the best scheme under different scenarios respectively. The models dont pursue the best scheme under specific scenario but the comprehensive optimal one which has probabilistically the best adaptability according to all the scenarios. The sample testified the feasibility of the proposed model.
出处 《中国电机工程学报》 EI CSCD 北大核心 2004年第11期34-38,共5页 Proceedings of the CSEE
基金 国家自然科学基金(50177017) 高等学校优秀青年教师教学科研奖励计划项目~~
关键词 场景 规划模型 算例 最优方案 灵活 规划方案 不确定性 最优模型 程度 技术 Electric power engineering Flexible planning Blind-number planning Branch chosen probability Flexible constraints Multi-scenario technique Uncertainty
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  • 1[6]Van Geert,Edwin,Increased uncertainty a new challenge for power system planners[C],Proceedings of the 1998 IEE Colloquium on Tools and Techniques for Dealing with Uncertainty,London,1998,1:1-6.
  • 2斯蒂芬·P·罗宾斯.管理学[M].中国人大出版社,1997..
  • 3Merrill H M, Wood A J. Risk and uncertainty in power system planning[J]. Electric Power & Energy Systems, 1991, 13(2):81--90.
  • 4Crousillat E O, Dorifner P, Alvarado P, et al. Conflieting objectives and risk in power system planning[J]. IEEE Transaction on Power Systems, 1993,8(3) :887--893.
  • 5王秀丽,西安交通大学学报,1995年,29卷,8期
  • 6岑文辉,全国高等学校电力系统及其自动化专业第9届年会论文集,1993年
  • 7王锡凡,电力系统优化规划,1990年
  • 8Jang-Sung Chun, Hyun-Kyo Jung, Song-Yop Hahn. A study on comparison of optimization performances between immune algorithm and other heuristic algorithm [J]. IEEE Trans. on Magnetics, 1998,34(5): 292-2975.
  • 9Hunt John E, Cooke Denise E, Learning using an artificial immune system [J]. Journal of Network and Computer Applications. 1996,19(2): 189-212.
  • 10M. Dorigo, L. M. Gambardella, Ant colony system: a cooperative learning approach to the traveling salesman problem[J]. IEEE Trans. on Evolutionary Computation, 1997, 1(1): 53-66.

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