摘要
考虑主动管理和需求侧管理措施,针对分布式风电源(WTG)出力模糊随机的运行特性,建立了主动配电网中分布式电源双层模糊随机机会约束规划模型。首先将风速处理为一个随机模糊变量,以处理实际风速因历史统计数据不足产生的误差。在此基础上,考虑主动管理和需求侧管理措施,构建双层模糊随机机会约束规划模型,上层以模糊随机年利润最大为目标,下层以WTG有功削减费用和负荷中断费用之和最小为目标,各项静态安全指标均以模糊随机机会约束考虑,采用遗传算法、蒙特卡洛模拟和原对偶内点法对上下层模型进行求解。最后通过IEEE 14节点配电系统进行了仿真计算,验证了所提模糊随机机会约束规划模型的有效性和合理性。
Taking active management（AM）measures and demand side management（DSM）measures,as well as operating characteristics of wind turbine generators（WTGs）in the planning stage,a bi-layer fuzzy random chance constrained model on distributed generation planning for active distribution network is built.Firstly,the wind speed is treated as a random fuzzy variable in order to deal with error of actual wind speed due to lack of historical data.On this base,a bi-layer fuzzy random chance constrained planning model is constructed by considering AM measures and DSM measures.The maximum annual fuzzy random profit is regarded as the objective function for the upper-layer of the built planning model and the minimum total cost of active power reduction of distributed generator and load interruption is taken as the objective function of lower-layer of the built planning model.All static safety indicators are considered in the form of fuzzy random chance constraints.The upper-layer and lower-layer of the planning model are solved by genetic algorithm,Monte Carlo simulation（MCS）and prime-dual interior point method.Finally,the validity and rationality of the bi-layer planning model are verified by simulation example of IEEE 14-bus system.
作者
高鹏
陈红坤
张光亚
赵莉莉
边小军
GAO Peng;CHEN Hongkun;ZHANG Guangya;ZHAO Lili;BIAN Xiaojun(School of Electrical Engineering,Wuhan University,Wuhan 430072,China;Shuozhou Power Supply Company of State Grid Shanxi Electric Power Company,Shuozhou 036000,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2018年第15期39-46,93,共9页
Automation of Electric Power Systems
关键词
风速模糊性
风电源规划
高渗透风电
需求侧管理
模糊随机机会约束
fuzziness of wind speed
wind power generation planning
high-penetration wind power
demand side management
fuzzy random chance constraint
