| 引用本文: | 周军,李佳旺,马鸿君,姜德龙,张虹.考虑点对点电能共享的智能楼宇群分布式优化调度[J].电力自动化设备,2021,41(10): |
| ZHOU Jun,LI Jiawang,MA Hongjun,JIANG Delong,ZHANG Hong.Distributed optimal scheduling for smart building clusters considering peer-to-peer electric energy sharing[J].Electric Power Automation Equipment,2021,41(10): |
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| 摘要: |
| 针对兼具电能生产和消费能力的智能楼宇，基于能源与信息双向流动的特性，提出一种以点对点(P2P)电能共享为核心的智能楼宇群能量管理框架。对智能楼宇内部资源进行量化建模，同时针对楼宇内部的供冷特性，考虑用冰蓄冷储能系统满足楼宇冷却需求，利用P2P电能共享机制提升系统运行灵活性和经济性，并建立智能楼宇群日前经济调度优化模型；通过快速交替方向乘子法对所提模型进行分布式求解，得到智能楼宇群P2P电能共享的最优策略。算例结果表明，所提模型可以有效降低楼宇群对外部能源的依赖，在保证楼宇内用户舒适性的同时，提高系统运行的整体经济性以及对新能源的消纳水平。 |
| 关键词: 智能楼宇群 点对点电能共享 冰蓄冷储能 分布式优化调度 快速交替方向乘子法 |
| DOI：10.16081/j.epae.202110029 |
| 分类号:TM73 |
| 基金项目:国家自然科学基金资助项目(51777027)；吉林省教育厅科学技术研究项目(JJKH20210093KJ) |
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| Distributed optimal scheduling for smart building clusters considering peer-to-peer electric energy sharing |
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ZHOU Jun1, LI Jiawang1, MA Hongjun2, JIANG Delong3, ZHANG Hong1
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1.Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin 132012, China;2.Nanyang Power Supply Company of State Grid Henan Electric Power Company, Nanyang 473000, China;3.School of Information and Control Engineering, Jilin Institute of Chemical Technology, Jilin 132022, China
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| Abstract: |
| Aiming at smart buildings with both electric energy production and consumption capability, an energy management framework of smart building clusters with P2P(Peer-to-Peer) electric energy sharing as the core is proposed based on the bidirectional flow characteristic of energy and information. The internal resources of smart buildings are quantitatively modeled. At the same time, according to the internal cooling characteristics of the buildings, the ice energy storage system is considered to meet the cooling demand of the buildings. The P2P electric energy sharing mechanism is used to improve the flexibility and economy of system operation, and an optimal day-ahead economic scheduling model of smart building clusters is built. The fast alternating direction method of multipliers is used to solve the model in a distributed way, and the optimal strategy for P2P electric energy sharing of smart building clusters is obtained. Case results show that the proposed model can effectively reduce the dependence of building clusters on external energy, and improve the overall economic benefit of the system and the consumption level of renewable energy while ensuring the comfort of users in the buildings. |
| Key words: smart building clusters peer-to-peer electric energy sharing ice energy storage distributed optimal scheduling fast alternating direction method of multipliers |
