计及车网互动的热电联供微电网优化调度
Optimized Scheduling of the Combined Heat and Power Microgrid Considering Vehicle-to-Grid Interaction
李洪美 1李香凡 1林志芳 1朱礼元1
作者信息
- 1. 江苏师范大学电气工程及自动化学院,江苏徐州 221116
- 折叠
摘要
为有效推动"双碳"目标的实现,针对系统碳排放量大、综合成本高和优化调度迭代寻优困难的问题,提出了计及车网互动的热电联供微网(combined heat and power microgrid,CHP-MG)优化调度方法.以微网运行成本和碳排放量最小为目标,建立了考虑车网互动的CHP-MG模型,同时,考虑用户需求变化,设置了优先满足电负荷需求和优先满足热负荷需求 2 种模式;给出改进的树种优化算法,将种群划分为 4 部分,更有效的进行全局搜索;该算法还引入了枯萎过程和位置置换变异策略,以增加种群多样性、避免局部最优,从而提高收敛时间和寻优能力.以英格兰东北部地区为例进行了仿真验证,结果表明,改进后算法的寻优结果和收敛时间明显优于未改进的树种优化算法.
Abstract
To effectively achieve the"Dual-carbon"goals,this paper proposes an optimization and scheduling method for combined heat and power microgrids(CHP-MG)considering the interaction between vehicles and the grid.To minimize the operating cost and carbon emissions of the microgrid,a CHP-MG model is established,which takes into account the dynamic user demands and offers two modes:prioritizing electricity load demand and prioritizing heat load demand.Furthermore,an improved tree species optimization algorithm is proposed,where the population is divided into four parts to enhance global search efficiency.Additionally,with the introduction of withering process and position replacement mutation strategy,the algorithm enhances population diversity,avoids local optima,and improves convergence time and optimization performance.The simulation results using the case study of Northeast England demonstrate that the improved algorithm outperforms the original tree species optimization algorithm in terms of optimization results and convergence time.
关键词
车网互动/热电联供微电网/改进树种优化算法/优化调度Key words
vehicle-to-grid interaction/combined heat and power microgrid/improved tree species optimization algorithm/optimization scheduling引用本文复制引用
基金项目
国家自然科学基金青年基金项目(12205122)
出版年
2024
NETL
NSTL
万方数据