| 基于改进NSGA-Ⅱ算法的电-气-热综合能源系统多目标优化 |
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| 作者姓名： | 蒋猛 黄宇 廖伟涵 张简炼 张又文 郭创新 |
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| 作者单位： | 1. 贵州电网有限公司贵阳供电局, 贵州省 贵阳市 550002;2. 浙江大学电气工程学院, 浙江省 杭州市 310027 |
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| 基金项目： | 国家自然科学基金项目(51537010) |
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| 摘 要： | 随着电力、天然气和热力网络耦合紧密程度不断加深，综合能源系统协同优化成为了新的研究热点。提出一种适用于含非凸约束条件的综合能源系统多目标优化问题的改进NSGA-Ⅱ算法，通过维护全局的帕累托最优解集提升解的搜索效率，同时采用动态调整法，提高在高维等式约束下找到可行解的概率。算例分析验证了该方法的有效性。
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| 关 键 词： | 综合能源系统(IES) 改进NSGA-Ⅱ算法 遗传算法 多目标优化调度 |
| 收稿时间： | 2019-04-14 |
Multi-objective Optimization of Electricity-Gas-Heat Integrated Energy System Based on Improved NSGA-Ⅱ Algorithm |
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| Authors: | Meng JIANG Yu HUANG Weihan LIAO Jianlian ZHANG Youwen ZHANG Chuangxin GUO |
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| Affiliation: | 1. Guiyang Power Supply Bureau of Guizhou Power Grid Co., Ltd., Guiyang 550002, Guizhou Province, China;2. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, Zhejiang Province, China |
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| Abstract: | With the development of interaction between electricity, natural gas and heat networks, collaborative optimization of integrated energy system has become a new research focus. An improved NSGA-Ⅱ algorithm was proposed to solve the optimization problem of integrated energy system, which contained multiple objectives and nonconvex constraints, a global Pareto set maintenance method was proposed to improve the search efficiency of Pareto-optimal solutions. Dimensional reduction and dynamic adjustment were applied to improve the probability of finding feasible solutions under high-dimension equality constraints. An example was analyzed to prove the validity of the proposed method. |
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| Keywords: | integrated energy system (IES) improved NSGA-Ⅱ algorithm genetic algorithm multi-objective optimal scheduling |
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