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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。
Aiming at the uncertainty of the interaction between electric vehicles and power grids, a robust optimization theory is introduced into the optimal scheduling of electric power grids with electric vehicles. A multi-objective dynamic optimal scheduling model of electric grid with electric vehicles is constructed. Considering the cost of thermal power generation, V2G User’s economic benefits and pollution gas emissions. A new multi-objective backtracking search optimization algorithm is designed. By introducing Pareto non-inferior sorting operation into backtracking optimization algorithm, this algorithm can effectively make up for the inability of the algorithm to solve Shortcomings of multi-objective models. The case study verifies the validity and practicability of the proposed model and algorithm.