为探索能源服务商(energy service provider,ESP)参与下,多个IES间电、热、碳多能点对点交易(peer-to-peer,P2P)与能量管理新模式,提出了一种考虑多主体交互策略的综合能源系统P2P能-碳管理方法。构建了ESP和IES多主体参与下的双层能量...为探索能源服务商(energy service provider,ESP)参与下,多个IES间电、热、碳多能点对点交易(peer-to-peer,P2P)与能量管理新模式,提出了一种考虑多主体交互策略的综合能源系统P2P能-碳管理方法。构建了ESP和IES多主体参与下的双层能量管理框架。建立了双层电-热-碳能量管理模型,上层模型基于强化学习框架,优化ESP和IES合作联盟之间的能量管理策略,下层模型基于纳什谈判博弈理论,优化多个IES之间的合作运行策略。针对典型系统进行算例研究,分析了P2P模式下综合能源系统最优能量管理策略,结果表明:所提能量管理方法能够有效进行电热调度,实现系统的收益最大化,降低系统碳排放量。展开更多
The emerging multi-energy system has brought new challenges and opportunities to energy business worldwide.To address the issues in multi-energy trading,this paper proposes an electricity,heating,and cooling trading m...The emerging multi-energy system has brought new challenges and opportunities to energy business worldwide.To address the issues in multi-energy trading,this paper proposes an electricity,heating,and cooling trading model for the interaction between the multi-energy service provider(MESP)and multi-energy consumer(MEC)by using bi-level programming.In the upper level,the model instructs the MESP to make decisions on the optimal energy purchasing scheme and energy economic dispatch.In the lower level,optimal consuming patterns of different energies with the given retail prices are modeled for the MEC.Specifically,a novel multi-energy demand response(DR)program that employs energy conversion devices is proposed.Numerical results show that MEC can reduce its consumption cost via the multi-energy DR.Meanwhile,MESP benefits greatly from the flexibilities of energy conversion.This research can provide theoretical support for the future development of multi-energy trading.展开更多
随着能源市场的逐步开放,大量市场因素涌入传统集中式优化调度策略。在此背景下,以园区综合能源系统(community integrated energy system, CIES)优化运行为应用场景,提出了基于综合能源服务商(integrated energy services provider, IE...随着能源市场的逐步开放,大量市场因素涌入传统集中式优化调度策略。在此背景下,以园区综合能源系统(community integrated energy system, CIES)优化运行为应用场景,提出了基于综合能源服务商(integrated energy services provider, IESP)引导的源-荷协同优化运行模型。在需求侧,考虑园区可转移电、气负荷以及建筑物维护结构虚拟储热特性建立综合需求响应(integrated demand response, IDR)策略。在供给侧引入综合能源服务商以代替能源网络引导多能协同灵活交易,综合考虑园区用能需求、响应反馈以及主网与园区联络线电交互功率变化情况优化电-气联合价格信号。通过粒子群结合混合整数线性规划的双层优化算法对上层服务商的价格信号及下层园区需求响应、经济调度等行为进行分层优化,考虑供需双侧互动过程中的相互影响,循环迭代求解出各方追求利益目标时的交互策略。算例仿真表明所提模型可在保障园区的参与满意度、用能经济性的基础上挖掘其响应潜力,对园区与主网间电交互功率进行"削峰填谷",优化配置系统能源资源,提高系统整体经济性。展开更多
文摘为探索能源服务商(energy service provider,ESP)参与下,多个IES间电、热、碳多能点对点交易(peer-to-peer,P2P)与能量管理新模式,提出了一种考虑多主体交互策略的综合能源系统P2P能-碳管理方法。构建了ESP和IES多主体参与下的双层能量管理框架。建立了双层电-热-碳能量管理模型,上层模型基于强化学习框架,优化ESP和IES合作联盟之间的能量管理策略,下层模型基于纳什谈判博弈理论,优化多个IES之间的合作运行策略。针对典型系统进行算例研究,分析了P2P模式下综合能源系统最优能量管理策略,结果表明:所提能量管理方法能够有效进行电热调度,实现系统的收益最大化,降低系统碳排放量。
基金supported by National Key R&D Program of China(No.2016YFB0901900).
文摘The emerging multi-energy system has brought new challenges and opportunities to energy business worldwide.To address the issues in multi-energy trading,this paper proposes an electricity,heating,and cooling trading model for the interaction between the multi-energy service provider(MESP)and multi-energy consumer(MEC)by using bi-level programming.In the upper level,the model instructs the MESP to make decisions on the optimal energy purchasing scheme and energy economic dispatch.In the lower level,optimal consuming patterns of different energies with the given retail prices are modeled for the MEC.Specifically,a novel multi-energy demand response(DR)program that employs energy conversion devices is proposed.Numerical results show that MEC can reduce its consumption cost via the multi-energy DR.Meanwhile,MESP benefits greatly from the flexibilities of energy conversion.This research can provide theoretical support for the future development of multi-energy trading.
