| 引用本文: | 曾鸣,韩旭,李源非,刘金洁,彭丽霖.基于Tent映射混沌优化NSGA-Ⅱ算法的综合能源系统多目标协同优化运行[J].电力自动化设备,2017,37(6): |
| ZENG Ming,HAN Xu,LI Yuanfei,LIU Jinjie,PENG Lilin.Multi-objective cooperative optimization based on Tent mapping chaos optimization NSGA-Ⅱ algorithm for integrated energy system[J].Electric Power Automation Equipment,2017,37(6): |
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| 摘要: |
| 为了提高能源综合利用效率与分布式可再生能源就地消纳能力，结合能源互联网建设过程中自动需求响应系统的应用趋势，构建了基于自动需求响应和储能的综合能源系统多目标协同优化运行模型，并提出了基于Tent映射混沌优化的NSGA-Ⅱ多目标函数求解算法。将所提模型及求解算法应用于我国某典型园区综合能源系统的实际算例中，结果表明：Tent映射混沌优化NSGA-Ⅱ算法求解此类问题具有可行性；考虑自动需求响应和储能作用的综合能源系统相较于其他3种情景具有显著经济、技术和环境效益，促进了新能源并网消纳。 |
| 关键词: 综合能源系统 自动需求响应 协同优化 Tent映射 混沌优化 NSGA-Ⅱ算法 |
| DOI：10.16081/j.issn.1006-6047.2017.06.029 |
| 分类号:TM761 |
| 基金项目:国家电网公司科技项目(适应我国售电侧放开的自动需求响应仿真技术研究)(SGTYHT/15-JS-191)；中央高校基本科研业务费专项资金资助项目(2016XS84) |
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| Multi-objective cooperative optimization based on Tent mapping chaos optimization NSGA-Ⅱ algorithm for integrated energy system |
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ZENG Ming1, HAN Xu1, LI Yuanfei1, LIU Jinjie2, PENG Lilin1
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1.School of Economics and Management, North China Electric Power University, Beijing 102206, China;2.School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
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| Abstract: |
| Combined with the trend of automatic demand response system application in the energy internet construction, a multi-objective cooperative optimization model based on the automatic demand response and energy storage is established for improving the comprehensive utilization efficiency of energy and the localized consumption of distributed renewable energy, and the NSGA-Ⅱ algorithm combined with Tent mapping chaos optimization is proposed to solve the multi-objective function. The proposed model and algorithm is applied to an integrated energy system of a typical park in China and the calculative results show that, the proposed algorithm is applicable to this kind of problem and, being conducive to the grid-connection and accommodation of new energies, the integrated energy system with the considerations of automatic demand response and energy storage has the most significant economic, technical and environmental effectiveness among four dispatch models. |
| Key words: integrated energy system automatic demand response collaborative optimization Tent mapping chaos optimization NSGA-Ⅱ algorithm |
