碳-绿色证书交易机制下考虑回收P2G余热和需求响应的PIES优化调度  被引量:17

Optimal Scheduling of Park Integrated Energy System with P2G Waste Heat Recovery and Demand Response under Carbon-Green Certificate Trading Mechanism

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作  者:原希尧 王关涛 朱若源 白星振 葛磊蛟[2] 李顾辉 YUAN Xiyao;WANG Guantao;ZHU Ruoyuan;BAI Xingzhen;GE Leijiao;LI Guhui(School of Electrical and Automation Engineering,Shandong University of Science and Technology,Qingdao 266590,Shandong Province,China;Key Laboratory of Smart Grid of Ministry of Education,Tianjin University,Tianjin 300072,China)

机构地区:[1]山东科技大学电气与自动化工程学院,山东省青岛市266590 [2]智能电网教育部重点实验室(天津大学),天津市300072

出  处:《电力建设》2023年第3期25-35,共11页Electric Power Construction

基  金:国家自然科学基金资助项目(52277118);电网安全与节能国家重点实验室开放基金资助项目(YDB51202201356)。

摘  要:为进一步促进园区级综合能源系统(park integrated energy system, PIES)的可再生能源消纳和碳减排,优化园区级综合能源系统的运行总成本,提出一种碳-绿色证书交易机制下考虑回收电转气(power to gas, P2G)余热和需求响应的园区级综合能源系统优化调度模型。首先,考虑阶梯式碳交易机制和绿色证书交易制度,以促进可再生能源的消纳和碳减排。其次,引入回收余热的电转气设备,优化电-热-气耦合关系来提高系统消纳可再生能源和碳减排水平。然后,建立含可削减、转移、替代负荷的需求侧响应模型,指导用户的用能方式由高能耗、高污染向低碳、可持续转变。最后,以购能成本、弃风惩罚成本、需求响应补偿成本、阶梯式碳交易成本、绿色证书交易收益之和最小为目标,构建PIES优化调度模型。算例结果表明,该模型可以有效促进可再生能源消纳和碳减排并降低系统运行成本。In order to further promote the renewable energy consumption and carbon emission reduction of the park integrated energy system(PIES), and optimize the total operation cost of the PIES, this paper proposes a PIES optimization scheduling model considering the recovery of waste heat from power to gas(P2G) and demand response under the carbon-green certificate trading mechanism. Firstly, the stepwise carbon trading mechanism and green certificate trading system are considered to promote the consumption of renewable energy and carbon emission reduction. Secondly, the P2G equipment to recover waste heat is introduced, and the electric-heat-gas coupling relationship is optimized to improve the system’s renewable energy consumption and carbon emission reduction level. Then, a demand-side response model including reduced, transferred and substituted loads is established to guide users to change their energy use mode from high energy consumption and high pollution to low-carbon and sustainable. Finally, the PIES optimization scheduling model is constructed to minimize the sum of energy purchase cost, wind curtailment penalty cost, demand response compensation cost, stepped carbon trading cost and green certificate trading revenue. The simulation results show that the model can effectively promote the renewable energy consumption and carbon emission reduction and reduce the system operation cost.

关 键 词:园区级综合能源系统(PIES) 电转气(P2G) 需求响应 碳交易 绿色证书交易 

分 类 号:TM73[电气工程—电力系统及自动化]

 

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