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考虑供需双边响应的综合能源系统优化调度OA北大核心CSTPCD

Optimal Scheduling of Integrated Energy Systems Considering Bilateral Response of Supply and Demand

中文摘要英文摘要

为进一步挖掘综合能源系统(integrated energy system,IES)供需两侧的灵活性资源,优化系统运行的低碳性与经济性,提出一种考虑供需双边响应的IES优化调度策略.首先,为提高IES供能灵活性,引入电热锅炉和有机朗肯循环发电装置构建热电联产(combined heat and power,CHP)机组电、热能灵活输出的供给侧响应模型,并提出输出电、热能占比率灵活性指标,以衡量CHP机组的运行灵活性;其次,在电、热、冷多元负荷具备转移、削减和替代响应特性的基础上,构建考虑电动汽车有序充放电策略的需求侧响应模型,以深入挖掘需求侧的可调度潜力;最后,以购能成本、弃风成本、响应补偿成本、运维成本和碳交易成本之和最小为优化目标,建立IES供需协同优化模型.结果表明,所提优化调度策略能够充分发挥供需灵活资源协调互补的优势,在促进风电并网消纳的同时有效提升IES运行的低碳性、经济性与灵活性.

To explore flexible resources on both the supply and demand sides of integrated energy systems(IES)and optimize their low-carbon and economic performance,this paper proposes an optimal scheduling strategy for IES that considers the bilateral response of supply and demand.First,to enhance the flexibility of IES energy supply,an electric boiler and an organic Rankine cycle power generation device were introduced.A supply-side response model was developed to accommodate the flexible output of electric and thermal energy from a combined heat and power(CHP)unit.A flexibility indicator—the ratio of electric to thermal energy output—was proposed to measure the operational flexibility of the CHP unit.Second,based on the response characteristics of multiple loads(electricity,heat,and cold),a demand-side response model was constructed,incorporating orderly charging and discharging strategies for electric vehicles to explore the schedulable potential of the demand side.Finally,an IES supply-demand collaborative optimization model was established,aiming to minimize the sum of energy purchase costs,wind abandonment costs,response compensation costs,operation and maintenance costs,and carbon trading costs.The results demonstrate that the proposed strategy effectively utilizes the coordination and complementarity of flexible resources between supply and demand,enhancing the low-carbon performance,economic efficiency,and flexibility of IES operation while promoting the grid-connected consumption of wind power.

吴永孝;肖辉;曾林俊;颜勤;刘维民

电网防灾减灾全国重点实验室(长沙理工大学),长沙市 410114长沙理工大学能源与动力工程学院,长沙市 410114

动力与电气工程

供需双边响应综合能源系统(IES)灵活性指标电动汽车协同优化

bilateral response of supply and demandintegrated energy system(IES)flexibility indicatorelectric vehiclecollaborative optimization

《电力建设》 2024 (010)

13-23 / 11

This work is supported by National Natural Science Foundation of China(No.52307080). 国家自然科学基金项目(52307080)

10.12204/j.issn.1000-7229.2024.10.002

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