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On the efficiency of local electricity markets under decentralized and centralized designs: a multi-leader Stackelberg game analysis

机译:论分散和集中设计下当地电力市场的效率:多领导堆栈博弈分析

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摘要

In this paper, we analytically compare centralized and decentralized market designs involving a national and local market operators, strategic generators having market power and bidding sequentially in local markets, to determine which design is more efficient for the procurement of energy. In the centralized design, used as benchmark, the national market operator optimizes the exchanges between local markets and the generators' block bids. In the decentralized design, generators act as Stackelberg leaders, anticipating the local market prices and the flows on the transmission lines. Clearing of the local markets can be either simultaneous or sequential. The resulting two-stage game with competitive leaders that are not price takers is formulated as a bilevel mathematical programming problem which is reformulated as a Nash-Cournot game, and conditions for existence and uniqueness of market equilibrium are studied. Imperfect information is also considered, resulting from the lack of incentives from the generators to share their RES-based generations. Through a case study, we determine that the decentralized design is as efficient as the centralized one with high share of renewables, using as performance measure the price of anarchy, and that imperfect information has a limited impact on the efficiency of the decentralized market design. Furthermore, we check numerically that there exists an upper-limit on the block bid length maximizing the social welfare under both centralized and decentralized designs.
机译:在本文中,我们将涉及国家和地方市场运营商的集中和分散的市场设计进行了分析,涉及国家和当地市场运营商的战略发电机,在当地市场中依次依次进行市场电力和竞标,以确定哪种设计对采购能源更有效。在用作基准的集中设计中,国家市场运营商优化了本地市场与发电机块出价之间的交流。在分散的设计中,发电机充当Stackelberg领导者,预测当地市场价格和传输线上的流量。清除本地市场可以是同时或顺序的。由此产生的双阶段游戏与竞争性领导人不属于价格,不制定作为培养数学编程问题,作为纳什兰诺比赛进行重新制定,研究了市场均衡的存在和唯一性的条件。还考虑了不完美的信息,从发电机中缺乏激励来分享他们的基于res的几代人。通过一个案例研究,我们确定分散的设计与具有高可再生能源份额的集中式设计有效,随着性能衡量无政府状态的价格,并且不完美的信息对分散的市场设计效率影响有限。此外,我们在数值上检查,块出价的上限最大化社会福利在集中式和分散的设计下。

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