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Resource-specific Orders in European day-ahead market Under Different Pricing Rules

Journal of Modern Power Systems and Clean Energy 2023年第3期11卷 757-769页

作者： Ilias G.Marneris Andreas V.Ntomaris Pandelis N.Biskas Grigorios A.Dourbois Department of Electrical and Computer Engineering Aristotle University of ThessalonikiThessaloniki 54124Greece

This paper addresses two issues that concern the electricity market participants under the European day-ahead market(DAM)framework,namely the feasibility of the attained schedules and the non-confiscation of cleared *** address the first issue,new resource-specific orders,i.e.,thermal orders for thermal generating units,demand response orders for load responsive resources,and energy limited orders for storage resources,are proposed and incorporated in the existing European DAM clearing *** address the second issue,two approaches which lead to a non-confiscatory market are analyzed:①discriminatory pricing with side-payments(***);and②non-discriminatory pricing excluding out-ofmoney orders(European paradigm).A comparison is performed between the two approaches to investigate the most appropriate pricing rule in terms of social welfare,derived revenues for the sellers,and efficiency of the attained *** proposed model with new resource-specific products is evaluated in a European test system,achieving robust *** feasibility of the attained schedules is demonstrated when using resource-specific orders compared with block ***,the results indicate the supremacy of discriminatory pricing with side-payments compared with the current European pricing rule.

关键词： day-ahead market demand response energy storage non-confiscatory market pricing thermal order

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Dual Interval Optimization Based Trading Strategy for ESCO in day-ahead market with Bilateral Contracts

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Journal of Modern Power Systems and Clean Energy 2020年第3期8卷 582-590页

作者： Shengmin Tan Xu Wang Chuanwen Jiang Key Laboratory of Control of Power Transmission and Conversion Ministry of EducationShanghai Jiao Tong UniversityShanghai 200240China

Being capable of aggregating multiple energy resources, the energy service company(ESCO) has been regarded as a promising alternative for improving power system flexibility and facilitating the consumption of renewable resources in the electricity market. Considering the uncertain variables in day-ahead(DA) market trading, an ESCO can hardly determine their accurate probability distribution functions. Traditional interval optimization methods are used to process these uncertain variables without specific probability distribution ***, the lower and upper bounds of the intervals may change due to extreme weather conditions and other emergent events. Hence, a dual interval optimization based trading strategy(DIOTS) for ESCO in a DA market with bilateral contracts(BCs) is proposed. First, we transfer the dual interval optimization model into a simple model consisting of several interval optimization models. Then, a pessimistic preference ordering method is applied to solve the derived model. Case studies illustrating an actual test system corroborate the validity and the robustness of the proposed model, and also reveal that ECSO is critical in improving power system flexibility and facilitating the ability of absorbing renewable resources.

关键词： Dual interval optimization energy service company(ESCO) day-ahead market bilateral contract market

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