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大小水电可消纳电量期望值最大短期协调优化调度模型
引用本文:刘本希,武新宇,程春田,李秀峰,蔡华祥. 大小水电可消纳电量期望值最大短期协调优化调度模型[J]. 水利学报, 2015, 46(12): 1497-1505
作者姓名:刘本希  武新宇  程春田  李秀峰  蔡华祥
作者单位:大连理工大学水电与水信息研究所, 辽宁 大连 116024,大连理工大学水电与水信息研究所, 辽宁 大连 116024,大连理工大学水电与水信息研究所, 辽宁 大连 116024,云南电力调度控制中心, 云南 昆明 650011,云南电力调度控制中心, 云南 昆明 650011
基金项目:国家863高技术研究项目(2012AA050205);国家自然科学基金重大国际合作项目(51210014);国家杰出青年科学基金项目(51025934)
摘    要:水电富集地区的小水电在电网中所占比例较大,出力波动频繁,汛期与大中型水电挤占输电通道,造成大规模窝电弃水并威胁电网安全,需要构建有效的大小水电协调优化方法。为此,以西南水电富集的某省为背景,提出了大小水电可消纳电量期望值最大短期协调优化调度模型。该模型将分区小水电作为整体,根据小水电计划与实际出力偏差,采用模糊聚类构建小水电出力场景,并应用启发式搜索和关联搜索方法进行求解。实例研究表明,本文提出的模型和方法能够合理利用大中型水电良好的调节能力实现大小水电协调,减少窝电弃水,是一种实用有效的大小水电混合分区协调优化调度方法。

关 键 词:小水电  大中型水电  短期优化调度  消纳电量  模糊聚类
收稿时间:2014-09-03

A short term optimal operation model for the maximization of large and small combined hydropower consumption
LIU Benxi,WU Xinyu,CHENG Chuntian,LI Xiufeng and CAI Huaxiang. A short term optimal operation model for the maximization of large and small combined hydropower consumption[J]. Journal of Hydraulic Engineering, 2015, 46(12): 1497-1505
Authors:LIU Benxi  WU Xinyu  CHENG Chuntian  LI Xiufeng  CAI Huaxiang
Affiliation:Institute of Hydropower & Hydroinformatics, Dalian University of Technology, Dalian 116024, China,Institute of Hydropower & Hydroinformatics, Dalian University of Technology, Dalian 116024, China,Institute of Hydropower & Hydroinformatics, Dalian University of Technology, Dalian 116024, China,Yunnan Electric Power Dispatching Center, Kunming 650011, China and Yunnan Electric Power Dispatching Center, Kunming 650011, China
Abstract:Small hydropower (SHP) shares a large proportion in the generation mix in hydropower-rich re- gions. As large and small hydropower crowded to export electricity during flood seasons and the output of SHP fluctuate frequently, it has a serious effect on power grid. This paper introduced a short term optimal operation model for the maximization of large and small combined hydropower consumption. The SHP sta- tions in the same area are considered as a group in the model, using fuzzy clustering analysis method to establish the output scenario of SHP and its probability distribution, which is solved by the combination of heuristic search method and successive associated search method. The application in the small hydropower rich areas shows that this model can effectively use the regulation capacity of large hydropower stations to optimize joint operation and reduce the curtailment of small hydropower. It is a practical and effective short-term optimal operation model for large and small combined hydropower subregion.
Keywords:small hydropower  large and medium hydropower  short term optimal operation  consumable energy  fuzzy clustering
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