| 引用本文: | 江岳春,曾诚玉,郇嘉嘉,谭作云,余梦泽.基于改进NSGA-Ⅱ的综合能源多主体利益均衡优化调度[J].电力自动化设备,2020,40(7): |
| JIANG Yuechun,ZENG Chengyu,HUAN Jiajia,TAN Zuoyun,YU Mengze.Multi-agent interest balance optimization scheduling of integrated energy based on improved NSGA-Ⅱ[J].Electric Power Automation Equipment,2020,40(7): |
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| 摘要: |
| 考虑综合能源系统实际情况，提出了一种基于改进非支配排序遗传算法(NSGA-Ⅱ)的综合能源多主体利益均衡优化调度方法。将综合能源系统分为三大主体，分别为综合能源服务商、可再生能源拥有者以及用户，引入综合需求响应、储能、储热等能量枢纽技术的数学模型，并结合电动汽车响应模型，从多主体利益均衡角度出发构造了综合能源多主体优化调度模型。以主体间利益均衡为目标，采用基于超平面投影的非支配排序遗传算法对模型进行求解，得到最优Pareto前沿，并利用逼近理想解法寻得各机组最优出力分布，通过仿真对比说明了所提模型的有效性与实用性。 |
| 关键词: 综合能源系统 能量枢纽 多主体 利益均衡 超平面投影 非支配排序遗传算法 |
| DOI：10.16081/j.epae.202006024 |
| 分类号:TM73;TK01 |
| 基金项目:国家自然科学基金资助项目(5197070128)；中国南方电网公司科技项目(GD-KJQQ-20161202) |
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| Multi-agent interest balance optimization scheduling of integrated energy based on improved NSGA-Ⅱ |
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JIANG Yuechun1, ZENG Chengyu1, HUAN Jiajia2, TAN Zuoyun1, YU Mengze2
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1.College of Electrical and Information Engineering, Hunan University, Changsha 410082, China;2.Power System Planning Research Center of Guangdong Power Grid Co.,Ltd.,Guangzhou 510080, China
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| Abstract: |
| As for an integrated energy system, a multi-agent interest balance optimization scheduling model based on improved NSGA-Ⅱ(Non-dominated Sorting Genetic Algorithm-Ⅱ) is developed. The integrated energy system is divided into three agents: integrated energy service providers, renewable energy owners and consumers. The mathematical model of energy hub technology that includes integrated demand response, energy storage and heat storage is introduced. Combined with the demand response service provided by electric vehicles, a multi-agent optimization scheduling model of an integrated energy system is developed that considers multi-agent interest balance. To balance the interests between each agent, the NSGA-Ⅱ based on hyperplane projection is employed to solve the multi-agent model, and the optimal Pareto frontier is obtained. The optimal distribution of each unit is obtained from an approach that gradually approximates the ideal solution. Simulative results validate that the proposed model is effective and applicable. |
| Key words: integrated energy system energy hub multi-agent interest balance hyperplane projection NSGA-Ⅱ |
