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作 者:刘文霞[1] 李鹤[1] 赵天阳[1] 张玉莹[1] 赵建明[2]
机构地区:[1]华北电力大学电气与电子工程学院输配电研究所,北京102206 [2]国网吉林省电力有限公司松原供电公司,吉林松原138000
出 处:《现代电力》2015年第1期38-45,共8页Modern Electric Power
基 金:国家科技支撑计划(2013BAA02B02)
摘 要:传统的含风电场的输电网规划通常忽略运行成本或者运行状态对目标函数的影响,在风电场多点并网的情况下系统潮流分布波动显著,运行状态对运行成本的影响增大。同时,并网点风电与负荷的相关性对运行的经济性和可靠性有较大影响。本文建立含运行成本、建造成本、可靠性成本的多目标含风电场并网点优化的网源协调输电网扩展模型;采用聚类技术建立了计及风电空间分布的多维运行场景,通过多场景模拟运行,减少了计算量;采用多目标微分进化算法求解优化模型,利用熵权TOPSIS方法确定最优方案。以加入风电的IEEE30系统进行扩展与并网点优化,验证了空间多维场景技术与网源协同优化模型的适用性和有效性,为山区风电多点并网提供方法。Operation cost is usually ignored in traditional transmission expansion planning integrated with wind farms,so as the effect on operation cost by operation states.On the condition of multi-interconnection with wind farms,the distribution of power flow fluctuates significantly,that leads to greater impact on operation cost.Meanwhile,the relevance between the output of wind farms at the grid connection point and the load nearby has a significant impact on the operational economy and reliability.Thus,a multi-objective transmission expansion planning (TEP) model with the optimization for connection point of wind farms is built in this paper,taking the operation cost,investment cost and reliability cost into account.In order to figure out the operation cost and reduce computation at once,clustering technology is applied to generate multi-dimensional operation scenarios in consideration of the spatial distribution of wind farms to simulate operation states.Both differential evolution and Topsis technology are applied to solve the proposed model.IEEE30 test system with wind farms is used to test the applicability and validity of the model and scenarios proposed in this paper,so as to offer suggestions for system with mnulti-connection point of wind farms in mountain areas.
分 类 号:TM712[电气工程—电力系统及自动化]
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