| 引用本文: | 吴 勇,吕 林,许立雄,等.考虑电/热/气耦合需求响应的多能微网多种储能容量综合优化配置[J].电力系统保护与控制,2020,48(16):1-10.[点击复制] |
| WU Yong,Lü Lin,XU Lixiong,et al.[J].Power System Protection and Control,2020,48(16):1-10[点击复制] |
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| 摘要: |
| 在多能微网中配置多种储能设备有利于平滑可再生能源波动性，提升供能可靠性和用能经济性。以含风光发电和电/热/气负荷的多能微网为研究对象，研究考虑电/热/气耦合需求响应的微能源网多种储能系统优化配置方法。首先，基于人体对温度的模糊度以及电负荷和气负荷的可转移特性建立耦合需求响应模型。在此基础上，以经济成本和碳排放量最小为目标，建立了基于耦合需求响应的多种储能容量综合规划的多目标优化模型。然后，采用自适应动态权重因子以适应规划场景的灵活多变。最后，通过算例比较了应用耦合需求响应以及配置储能系统前后多能微网的经济性以及碳排放量，从而验证了所提方法的有效性。 |
| 关键词: 多能微网 电/热/气耦合需求响应 储能容量 自适应权重 多目标优化 |
| DOI：DOI: 10.19783/j.cnki.pspc.191263 |
| 投稿时间：2019-10-15修订日期：2020-03-19 |
| 基金项目:四川省科技厅项目资助(2019YFG0152)；国家重点研发计划项目资助(2018YFB0905200) |
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| WU Yong,LÜ Lin,XU Lixiong,SHI Wenchao,HE Shuaijia,FENG Zhihui |
| (College of Electrical Engineering, Sichuan University, Chengdu 610065, China) |
| Abstract: |
| Optimal configuration of various types of energy storage is beneficial for reducing the fluctuation of renewable energy and for improving the reliability and economy of energy consumption in the multi-energy microgrid. Taking a multi-energy microgrid with wind power, photovoltaic generation and electricity/thermal/gas load as the study object, this paper studies the optimal allocation of multiple energy storage systems in a multi-energy microgrid considering electricity/thermal/gas coupling demand response. First, the coupling demand response model is built based on the ambiguity of body to temperature and the transferable characteristics of electricity and gas load. Based on the coupling demand response, in order to minimize economic cost and carbon emissions, a multi-objective optimization model is proposed where coupling demand response and different energy storage is taken into account. After that, in order to deal with the flexibility of the planning scenario, an adaptive dynamic weight factor is used. Finally, the economic cost and carbon emissions of the multi-energy microgrid before and after the application of coupling demand response and the configuration of the energy storage system are compared through a case study. This verifies the effectiveness of the proposed method.
This work is supported by the Sichuan Science and Technology Program (No. 2019YFG0152) and National Key Research and Development Program of China (No. 2018YFB0905200). |
| Key words: multi-energy microgrid electricity/thermal/gas coupling demand response energy storage adaptive weight multi-objective optimization |
