计及入网电动汽车不确定性的电网鲁棒优化调度
Power Grid Robust Optimized Dispatch Considering Vehicle-to-Grid Uncertainty
彭春华 1谢鹏 1黄戡1
作者信息
- 1. 华东交通大学电气与电子工程学院,南昌330013
- 折叠
摘要
针对电动汽车与电网互动的不确定性,提出将鲁棒优化理论引入到含电动汽车的电网优化调度中;构建了含电动汽车的电网多目标动态鲁棒优化调度模型,考虑火电发电成本、V2G用户的经济效益及污染气体排放量的综合优化目标;设计了一种新的多目标回溯搜索优化算法,该算法通过将帕累托非劣排序操作引入回溯搜索优化算法,有效弥补了算法无法求解多目标模型的缺点.算例分析验证了所提模型和算法的有效性和实用性.
Abstract
With the increasing plug-in hybrid electric vehicles connected to grid,the randomness and intermittency of EV access will have a great impact on power system optimal dispatch.In view of the uncertainty of interaction between vehicles and grid (Vehicle-to-Grid,V2G),this paper introduces the robust optimization theory into the grid optimal dispatch with EV connection.Duild up a multi-objective dynamic robust optimized dispatch model for power system containing Evs; take into account the integrated optimization objectives,including thermal power generation cost,economic benefit of V2G users and the emissions of polluted gas; design a new multi-objective backtracking search optimization algorithm (BSA).This algorithm introduces Pareto non-dominated sorting operation into BSA,which overcomes the shortage of failing to solve multi-objective model effectively.The calculation examples have verified the validity and practicability of this proposed model and method.
关键词
电动汽车/鲁棒优化/优化调度/回溯搜索算法/帕累托前沿Key words
electric vehicle/robust optimization/optimized dispatch/backtracking search algorithm/Pareto front引用本文复制引用
基金项目
国家自然科学基金(51167005)
江西省科技支撑计划项目(20142BBE50001)
江西省教育厅科技基金(GJJ14386)
出版年
2014
NETL
NSTL
维普
万方数据