摘要
随着能源结构的改革,能源需求侧负荷类型愈发多样化,为有效协调微网内源荷储供需关系,提高微网内多能耦合、多能互补的调度能力,本文提出一种基于能源路由器管理微网内源荷储的联合优化调度方法。首先,建立考虑柔性负荷参与调度的能源路由器源荷储能源转换扩展模型,在此基础上以日运行成本最小为优化目标,建立考虑源荷储供需关系的优化调度模型;其次,提出基于非线性权重因子改进的鲸鱼优化算法求解策略,得到典型日微网源荷储联合调度方案;最后,通过算例验证本文提出的源荷储联合调度能够提高新能源的消纳能力,有效降低日运行成本。
With the reform of the energy structure, the types of loads on the energy demand side are becoming more and more diverse.In order to effectively coordinate the source-load-storage supply and demand relationship in the microgrid and improve the multi-energy coupling and multi-energy complementary scheduling capabilities in the microgrid, this paper proposes A joint optimal scheduling method based on energy routers to manage source-load-storage in microgrids.First, establish an energy router source-load-storage energy conversion expansion model considering flexible load participation in scheduling.On this basis, with the minimum daily operating cost as the optimization goal, an optimal scheduling considering the supply-demand relationship of source-load-storage is established.model;secondly, an improved whale optimization algorithm solution strategy based on nonlinear weight factor is proposed, and a typical daily microgrid source-load-storage joint scheduling scheme is obtained;finally, the source-load-storage proposed in this paper is verified by an example.Joint dispatch can improve the consumption capacity of new energy and effectively reduce the daily operating cost.
作者
张政斌
叶鹏
张娜
程孟增
ZHANG Zhengbin;YE Peng;ZHANG Na;CHENG Mengzeng(Shenyang Institute of engineering Shenyang,Shenyang 110136,China;Economic and Technological Research Institute of State Grid Liaoning Electric Power Co.,Ltd.,Shenyang 110065,China)
出处
《河北电力技术》
2022年第3期30-36,共7页
Hebei Electric Power
基金
辽宁省创新能力提升联合基金项目(1600743366464)。
关键词
能源路由器
柔性负荷
源荷储
联合优化调度
改进鲸鱼优化算法
energy router
flexible load
source-load-storage
joint optimal scheduling
improved whale optimization algorithm