| 引用本文: | 蔡含虎,向月,杨昕然.计及需求响应的综合能源系统容量经济配置及效益分析[J].电力自动化设备,2019,39(8): |
| CAI Hanhu,XIANG Yue,YANG Xinran.Economic capacity allocation and benefit analysis of integrated energy system considering demand response[J].Electric Power Automation Equipment,2019,39(8): |
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| 摘要: |
| 为了对计及需求响应计划的区域综合能源系统容量配置的经济与环境效益进行综合评估分析，对并网型综合能源系统建立电价激励型需求响应(PBDR)下年总规划成本和年二氧化碳排放最小的双目标优化模型，采用价格需求弹性系数对用电负荷曲线进行修正，将负荷功率从高峰时段转移到其他时段。利用ε-约束技术将该双目标规划模型转化为单目标规划问题，通过求解得到Pareto最优解集，运用模糊决策方法选取最优方案。算例结果显示综合能源系统年总规划成本和年二氧化碳排放量在PBDR下有所降低，反映了需求响应带来的经济效益和环境效益。 |
| 关键词: 区域综合能源系统 电价型需求响应 ε-约束 模糊决策 气、电价扩展分析 |
| DOI：10.16081/j.epae.201908014 |
| 分类号:TM711 |
| 基金项目:中央高校基本科研业务费专项资金资助项目(YJ-201654) |
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| Economic capacity allocation and benefit analysis of integrated energy system considering demand response |
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CAI Hanhu, XIANG Yue, YANG Xinran
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College of Electrical Engineering, Sichuan University, Chengdu 610065, China
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| Abstract: |
| In order to comprehensively evaluate and analyze the economic and environmental benefits of capacity allocation of regional integrated energy system considering demand response mechanism, a bi-objective optimization model of both minimum annual total planning cost and minimum annual carbon dioxide emission is built for grid-connected integrated energy system under PBDR(Price-Based Demand Response). The price demand elasticity coefficient is used to modify the electricity load curve to transfer the load po-wer from peak period to other periods. The ε-constraint technique is adopted to transfer the bi-objective planning model to single objective planning problem, which is solved to obtain the optimal Pareto solution set and the optimal scheme is selected by fuzzy decision-making method. Case results show that the annual total planning cost and annual carbon dioxide emission of the integrated energy system are reduced under PBDR, which reflects the economic and environmental benefits of demand response. |
| Key words: regional integrated energy system price-based demand response ε-constraint fuzzy decision expansion analysis of gas and electricity price |
