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 European day-ahead electricity market coupling: Discussion, modeling, and case study
Tác giả hoặc Nhóm tác giả: Le Hong Lam, Valentin Ilea, Cristian Bovo
Nơi đăng: Electric Power Systems Research, Elsevier; Số: 155;Từ->đến trang: 80-92;Năm: 2018
Lĩnh vực: Khoa học công nghệ; Loại: Bài báo khoa học; Thể loại: Quốc tế
TÓM TẮT
Currently, the integration of European Electricity Market (EEM) has led to a single European Day-AheadMarket (DAM) with multiple-areas considered as bidding zones. In the near future, the EEM will spreadto the Intra-day and Balancing market. To operate the DAM, a market clearing tool (algorithm) has beendeveloped by market operators. The development of this algorithm corresponds to three primary prin-ciples: (i) one single framework, (ii) robust operation, and (iii) individual accountability. However, thisalgorithm is not available to the research community. In this paper, the authors develop a completeEuropean DAM model in General Algebraic Modelling System (GAMS), formulating it as a Mix IntegerQuadratic Constraint Problem (MIQCP) and iterative procedure, to mitigate the non-convexity of electric-ity prices across Europe due to the “fill or kill” condition of block, complex and Prezzo Unico Nazionale(PUN) orders. Eventually, two case studies reflecting the current European DAM evaluated the model,aiming to confirm its robustness and reliability.
ABSTRACT
Currently, the integration of European Electricity Market (EEM) has led to a single European Day-AheadMarket (DAM) with multiple-areas considered as bidding zones. In the near future, the EEM will spreadto the Intra-day and Balancing market. To operate the DAM, a market clearing tool (algorithm) has beendeveloped by market operators. The development of this algorithm corresponds to three primary prin-ciples: (i) one single framework, (ii) robust operation, and (iii) individual accountability. However, thisalgorithm is not available to the research community. In this paper, the authors develop a completeEuropean DAM model in General Algebraic Modelling System (GAMS), formulating it as a Mix IntegerQuadratic Constraint Problem (MIQCP) and iterative procedure, to mitigate the non-convexity of electric-ity prices across Europe due to the “fill or kill” condition of block, complex and Prezzo Unico Nazionale(PUN) orders. Eventually, two case studies reflecting the current European DAM evaluated the model,aiming to confirm its robustness and reliability.
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