考虑生物质能与光储充电站的虚拟电厂低碳调度方法OA
Low-carbon Scheduling Method for Virtual Power Plant Considering Biomass Energy and Photovoltaic-Storage-Charging Stations
双碳战略背景下,城市作为能源生产、消费的核心区域,面临生活垃圾处理和可再生能源就地消纳等多重挑战.为此,文中提出一种考虑城市生物质资源回收与光储充协调控制的虚拟电厂低碳调度方法.首先,以"碳处理"为桥梁构建干、湿生物质垃圾协同处理路径与多元供能结构,建立生物质电厂能量流动模型;其次,基于用户意愿设计光储充电站协同车网互动充放电策略;最后,构建集成源-荷侧策略的虚拟电厂低碳优化调度模型,通过多场景算例分析验证所提方法的运行效果与机制有效性.
In the context of carbon emission peak and carbon neutrality as the core areas of energy production and consumption,cities are facing multiple challenges such as municipal solid waste treatment and local consumption of renewable energy.Therefore,a low-carbon scheduling method for virtual power plant(VPP),which considers the urban biomass resource recovery and the coordinated control of photovoltaic-storage-charging systems,is proposed.Firstly,by taking"carbon treatment"as the bridge,a coordinated treatment path for dry and wet biomass waste and a multi-source energy supply structure are constructed,and an energy flow model of the biomass power plant is established.Secondly,a coordinated vehicle-to-grid(V2G)charging and discharging strategy for photovoltaic-storage-charging stations is designed based on user preferences.Finally,a low-carbon optimization scheduling model for the VPP integrating both supply-side and demand-side strategies is constructed.The operating effect and mechanism effectiveness of the proposed method are verified through multi-scenario case studies.
沈运帷;徐崇飞;万灿;周波;林顺富
上海电力大学电气工程学部,上海市 200090上海电力大学电气工程学部,上海市 200090浙江大学电气工程学院,浙江省 杭州市 310027上海电力大学电气工程学部,上海市 200090上海电力大学电气工程学部,上海市 200090
虚拟电厂生物质能光储充电站低碳调度车网互动可再生能源
virtual power plantbiomass energyphotovoltaic-storage-charging stationlow-carbon schedulingvehicle-to-grid(V2G)renewable energy
《电力系统自动化》 2026 (16)
54-65,12
国家自然科学基金资助项目(52407122,52277130). This work is supported by National Natural Science Foundation of China(No.52407122,No.52277130).
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