| 引用本文: | 张程,匡宇,邹复民,刘佳静,李传栋.考虑风光不确定性与电动汽车的综合能源系统低碳经济调度[J].电力自动化设备,2022,42(10): |
| ZHANG Cheng,KUANG Yu,ZOU Fumin,LIU Jiajing,LI Chuandong.Low carbon economic dispatch of integrated energy system considering wind and solar uncertainty and electric vehicles[J].Electric Power Automation Equipment,2022,42(10): |
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| 摘要: |
| 综合能源系统耦合负荷侧多种能源需求，是就地消纳分布式能源的有效手段。为协调多利益相关者场景下综合能源系统与电动汽车之间的调度问题，提出了一种考虑风光不确定性与电动汽车的综合能源系统双层模型的优化调度策略。首先，针对风光出力随机性，采用拉丁超立方采样生成场景，然后利用改进削减速率的快速前代消除技术进行场景削减。其次，为了挖掘电动汽车的需求响应潜力，在分时电价基础上，根据负荷与可再生能源的匹配度提出一种动态定价机制来引导电动汽车有序充放电，并研究其充放电策略对运行成本与碳排放量的影响。最后，算例分析结果表明，与分时电价相比，所提定价机制与调度策略能提高能源利用率与EV的调度灵活性，有效降低两利益相关者的运行成本与系统的碳排放量。 |
| 关键词: 综合能源系统 动态电价 场景削减 双层优化 需求响应 电动汽车 |
| DOI：10.16081/j.epae.202208003 |
| 分类号:U469.72;TM734 |
| 基金项目:国家自然科学基金资助项目(51977039)；福建工程学院海洋研究专项基金资助项目(GY?Z22063) |
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| Low carbon economic dispatch of integrated energy system considering wind and solar uncertainty and electric vehicles |
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ZHANG Cheng1, KUANG Yu1, ZOU Fumin1,2, LIU Jiajing1, LI Chuandong3
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1.Fujian Provincial University Engineering Research Center for Simulation Analysis and Integrated Control of Smart Grid, Fujian University of Technology, Fuzhou 350118, China;2.Fujian Key Lab for Automotive Electronics and Electric Drive, Fuzhou 350118, China;3.Electric Power Research Institute, State Grid Fujian Electric Power Co.,Ltd.,Fuzhou 350007, China
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| Abstract: |
| Integrated energy system couples multiple energy demands at the load side and it is an effective means to consume distributed energy locally. To coordinate the dispatch problem between integrated energy system and electric vehicles in a multi-stakeholder scenario, a two-layer model optimal dispatch strategy of an integrated energy system that takes into account wind and solar uncertainty and electric vehicles is proposed. Firstly, in view of the randomness of the wind and solar output, the scenarios are generated by Latin hypercube sampling, and then the scenarios are reduced by the fast previous generation elimination technology with improved reduction rate. Secondly, in order to explore the demand response potential of electric vehicles, a dynamic pricing mechanism is proposed to guide the orderly charging and discharging of electric vehicles based on the time-of-use electricity price according to the matching of load and renewable energy. The impact of the charging and discharging strategy on operating costs and carbon emission is also investigated. Finally, the results of the case study show that compared with the time-sharing tariff, the proposed pricing mechanism and scheduling strategy can improve the energy utilization and EV dispatch flexibility, and effectively reduce the operating costs of the two stakeholders and the carbon emission of the system. |
| Key words: integrated energy system dynamic electricity price scenario reduction bi-level optimization demand response electric vehicles |
