摘要
在综合考虑燃气轮机、柴油发电机等分布式电源以及储能装置的基础上,建立了各微电源出力的数学模型;建立了计及分时电价和负荷转移策略的双重指标负荷侧响应模型;以微网日运行成本最低为目标,建立了微电网优化调度目标函数。为求解负荷侧响应模型和调度模型,对生物地理学优化(Biogeography-based optimization,BBO)算法进行改进,结合差分进化思想修改迁移算子,使用基于协方差矩阵的迁移操作来增强BBO对不可分离问题的适应性。结果表明,改进后生物地理学算法的收敛性有所改善;优化后的微电网运行具有更好的经济效益。
Based on the comprehensive consideration of distributed power sources such as gas turbine,diesel generator and energy storage device,the mathematical model of output of each micro-power source is established.The load-side response model of dual index is established,which includes time-of-use electricity price and load transfer strategy.Aiming at the lowest daily operation cost of microgrid,the optimal scheduling objective function of microgrid was established.In order to solve the load-side response model and scheduling model,the Biogeographic-based Optimization(BBO)algorithm was improved,and the migration operator was modified in combination with the idea of differential evolution,and the migration operation based on covariance matrix was used to enhance the adaptability of BBO to the non-separable problem.The results show that the convergence of the improved biogeography-based optimization algorithm is improved.The optimized microgrid operation has better economic benefits.
作者
王怡文
李洁
李泽宽
荣存玉
WANG Yiwen;LI Jie;LI Zekuan;RONG Cunyu(College of Information Engineering,Inner Mongolia University of Science and Technology,Baotou 014017,China)
出处
《电力科学与工程》
2023年第2期55-63,共9页
Electric Power Science and Engineering
关键词
电力系统经济调度
微电网
优化调度
需求侧响应
生物地理学算法
economic dispatching of power system
microgrid
optimal dispatch
demand side response
biogeography-based optimization
