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
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
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.
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.
