基于GA-PSO算法计及风电时序特性的主动配电网双层规划OACSTPCD
Bi-level Planning for Active Distribution Network Considering Wind Power Timing Characteristics Based on GA-PSO Algorithm
合理规划配电网是提高风电消纳能力的重要一环,但风电出力与负荷时序特性场景应用较多,会增加模型求解难度,对优化配置结果有不利影响.引入拉丁超立方抽样结合K-means聚类技术削减样本数量得到典型风电与负荷多场景模型以提高模型计算效率.考虑风电运营商与国网公司利益,建立计及风电时序特性的主动配电网双层规划模型,即上层以风电运营商收益最大为目标确定风电规划方案,下层以配电网络损耗最小优化系统运行状态.基于IEEE 33节点系统进行算例分析,验证规划模型…查看全部>>
Reasonable planning of the active distribution network is an important part to improve the wind energy accommodation capability,however,the overuse of the wind power output and load timing characteristics increase the difficulty of model solving and have adverse effects on the optimal results.The Latin hypercube sampling(LHS)combined with the K-means clustering was employed to reduce the number of samples,thus a typical wind power and load multi-scenario mod…查看全部>>
江建;徐峰亮;王发义
国网河南省电力公司信阳供电公司,河南信阳 464000国网河南省电力公司信阳供电公司,河南信阳 464000国网河南省电力公司信阳供电公司,河南信阳 464000
动力与电气工程
风电时序特性拉丁超立方抽样主动配电网双层规划
wind powertiming characteristicsLatin hypercube sampling(LHS)active distribution networkbi-level planning
《电气传动》 2024 (5)
47-55,9
国网河南省电力公司信阳供电公司科技项目(基于分布式风电、光伏的柔性管控技术研究)
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