How to effectively use the multi-energy demand elasticity of users to bid in the multi-energy market and formulate multi-energy retail packages is an urgent problem which needs to be solved by integrated energy servic...How to effectively use the multi-energy demand elasticity of users to bid in the multi-energy market and formulate multi-energy retail packages is an urgent problem which needs to be solved by integrated energy service providers(IESPs)to attract more users and reduce operating costs.This paper presents a unified clearing of electricity and natural gas based on a bi-level bidding and multi-energy retail price formulation method for IESPs considering multi-energy demand elasticity.First,we propose an operating structure of IESPs in the wholesale and retail energy markets.The multi-energy demand elasticity model of retail-side users and a retail price model for electricity,gas,heat and cooling are established.Secondly,a bi-level bidding model for IESPs considering multi-energy demand elasticity is established to provide IESPs with wholesale-side bidding decisions and retail-side energy retail price decisions.Finally,an example is given to verify the proposed method.The results show that the method improves the total social welfare of the electricity and natural gas markets by 7.99%and the profit of IESPs by 1.40%.It can reduce the variance of the electricity,gas,and cooling load curves,especially the reduction of the variance of the electricity load curve can which reach 79.90%.It can be seen that the research in this paper has a positive effect on repairing the limitations of integrated energy trading research and improving the economics of the operation of IESPs.展开更多
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
能源互联网的发展促使售电公司逐步转型为综合能源服务商,而其如何制定吸引用户的售能策略成为研究重点。首先,结合电、热、气综合能源系统的物理结构,提出"综合能源服务商-用户"利益共同体协调运营优化策略,即利益共享、风...能源互联网的发展促使售电公司逐步转型为综合能源服务商,而其如何制定吸引用户的售能策略成为研究重点。首先,结合电、热、气综合能源系统的物理结构,提出"综合能源服务商-用户"利益共同体协调运营优化策略,即利益共享、风险共担,并为多种用户制定考虑可削减负荷、可转移负荷以及电量回购的3类柔性调节能源销售套餐。其次,提出基于让利行为的利益分配规则和风险收益对等原则,并利用条件风险价值法(conditional value at risk,CVaR)度量利益共同体面临的总风险损失。接着,以综合能源服务商利润最大化、用户综合满意度最大化、以及用户承担的风险最小化为目标,构建利益共同体非线性多目标优化模型。最后,结合第二代非支配排序遗传算法(non-dominated sorting genetic algorithm-Ⅱ,NSGA-Ⅱ)和模糊隶属度函数求出最优折中解,结果证明所提的利益共同体协调运营优化策略可以实现综合能源服务商、用户的利益-风险最优化。展开更多
基金supported in part by the National Key R&D Program of China(2018YFB0905000)the Science and Technology Project of the State Grid Corporation of China(SGTJDK 00DWJS1800232)。
文摘How to effectively use the multi-energy demand elasticity of users to bid in the multi-energy market and formulate multi-energy retail packages is an urgent problem which needs to be solved by integrated energy service providers(IESPs)to attract more users and reduce operating costs.This paper presents a unified clearing of electricity and natural gas based on a bi-level bidding and multi-energy retail price formulation method for IESPs considering multi-energy demand elasticity.First,we propose an operating structure of IESPs in the wholesale and retail energy markets.The multi-energy demand elasticity model of retail-side users and a retail price model for electricity,gas,heat and cooling are established.Secondly,a bi-level bidding model for IESPs considering multi-energy demand elasticity is established to provide IESPs with wholesale-side bidding decisions and retail-side energy retail price decisions.Finally,an example is given to verify the proposed method.The results show that the method improves the total social welfare of the electricity and natural gas markets by 7.99%and the profit of IESPs by 1.40%.It can reduce the variance of the electricity,gas,and cooling load curves,especially the reduction of the variance of the electricity load curve can which reach 79.90%.It can be seen that the research in this paper has a positive effect on repairing the limitations of integrated energy trading research and improving the economics of the operation of IESPs.
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。
文摘能源互联网的发展促使售电公司逐步转型为综合能源服务商,而其如何制定吸引用户的售能策略成为研究重点。首先,结合电、热、气综合能源系统的物理结构,提出"综合能源服务商-用户"利益共同体协调运营优化策略,即利益共享、风险共担,并为多种用户制定考虑可削减负荷、可转移负荷以及电量回购的3类柔性调节能源销售套餐。其次,提出基于让利行为的利益分配规则和风险收益对等原则,并利用条件风险价值法(conditional value at risk,CVaR)度量利益共同体面临的总风险损失。接着,以综合能源服务商利润最大化、用户综合满意度最大化、以及用户承担的风险最小化为目标,构建利益共同体非线性多目标优化模型。最后,结合第二代非支配排序遗传算法(non-dominated sorting genetic algorithm-Ⅱ,NSGA-Ⅱ)和模糊隶属度函数求出最优折中解,结果证明所提的利益共同体协调运营优化策略可以实现综合能源服务商、用户的利益-风险最优化。
