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作 者:刘学[1] 李晖[2] 周明[1] 郭飞[2] 李庚银[1]
机构地区:[1]华北电力大学新能源电力系统国家重点实验室,北京102206 [2]国网北京经济技术研究院,北京102209
出 处:《电力自动化设备》2015年第10期87-94,共8页Electric Power Automation Equipment
基 金:国家高技术研究发展计划(863计划)项目(2012AA-050208)~~
摘 要:多个风电场之间的风速相关性会影响潮流分布,进而影响输电网规划方案。采用逆Nataf变换建立风速相关性模型。结合基于半不变量法的概率潮流和机会约束规划,综合考虑经济性、电网负载均衡度、环保效应3个指标,构建考虑风速相关性的含风电场多目标电网优化规划模型。针对多目标优化问题的求解,提出一种改进NSGA-Ⅱ,该算法采用控制参数动态调整策略,提高了算法的全局搜索性能。采用基于熵的序数偏好方法对最优解集进行排序,给出决策方案。IEEE 24节点系统和某区域实际算例证明了所提模型的合理性和方法的有效性。研究结果表明,风速相关性对目标分量有重要的影响,考虑风速相关性能够给出更准确的电网规划方案。The wind speed correlation among multiple wind farms may influence the power flow distribution and the transmission network planning. The inverse Nataf transformation is adopted to build the wind speed correlation model. Combined with the probabilistic power flow based on the cumulant method and the chance constrained programming,an multi-objective optimization model including the wind speed correlation is built for the planning of power grid with wind farms,which comprehensively considers three indexes:economy,load balance and environmental effect. An improved NSGA-Ⅱ algorithm is proposed to solve the model,which adopts the strategy of dynamic control parameter adjustment to enhance its global search performance. The entropy-based TOPSIS(Technique for Order Performance by Similarity to Ideal Solution) is adopted to sort the optimal solution set for obtaining the final scheme. Case study for IEEE 24-bus system and a regional grid demonstrates the rationality of the proposed model and the effectiveness of the proposed method. Research results show that,the wind speed correlation has important influence on the objectives and the power grid planning scheme considering the wind speed correlation is more accurate.
关 键 词:风电 半不变量法 不确定性 多目标优化 输电网规划
分 类 号:TM614[电气工程—电力系统及自动化] TM715
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