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Decision-making Method of Sharing Mode for Multi-microgrid System Considering risk and Coordination cost

Journal of Modern Power Systems and Clean Energy 2022年第6期10卷 1690-1703页

作者： Hongjun Gao Jingxi Yang Shuaijia He Jianglin Zhang Junyong Liu Mingyang Hu College of Electrical Engineering Sichuan UniversityChengdu 610065China School of Control Engineering Chengdu University of Information TechnologyChengdu 610225China IEEE

Power sharing can improve the benefit of the multi-microgrid(MMG)***,the information disclosure may appear during the sharing process,which would bring privacy risk to a local ***,the risk and coordination cost are different in different sharing ***,this paper develops a decision-making method to decide the most suitable one of three mostly used sharing modes(i.e.,cooperative game with complete information,cooperative game with incomplete information,and noncooperative game).Firstly,power sharing paradigms and coordination mechanisms in the three modes are formulated in ***,different economic operation models of MMG system are included to analyze the economic benefit from different sharing *** on the different disclosed information,the risk cost is evaluated by using the simplified fuzzy analytic hierarchy process(FAHP).And the coordination cost for different sharing modes is expressed in different *** addition,a hierarchical evaluation system including three decision-making factors(e.g.,economics,risk,and coordination)is set ***,a combination weighting method(e.g.,the simplified FAHP combined with the anti-entropy weight method)is applied to obtain the weight of each factor for comprehensive ***,the optimal sharing solution of MMG system is decided by comparing and analyzing the difference among the three sharing *** results validate that the proposed method can provide a reference to deciding a suitable sharing mode.

关键词： Multi-microgrid system power sharing risk cost coordination cost fuzzy analytic hierarchy process(FAHP) combined weighting method

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Stochastic Economic Dispatch Based Optimal Market Clearing Strategy Considering Flexible Ramping Products Under Wind Power Uncertainties

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CSEE Journal of Power and Energy Systems 2024年第4期10卷 1525-1535页

作者： Haoyong Chen Jianping Huang Zhenjia Lin Fanqi Huang Mengshi Li School of Electric Power South China University of TechnologyGuangzhou510641China Department of Electrical Engineering The Hong Kong Polytechnic UniversityHong KongChina

High penetration level of renewable energy has brought great challenges to operation of power systems,and use of flexible resources(FRs)is becoming increasingly *** of power systems can be improved by changing generation arrangements,but the interests of some market participants may be harmed in the *** study proposes a stochastic economic dispatch model with trading of flexible ramping products(FRPs).To calculate changes in revenue and reasonably compensate units that provide FRs,multisegmented marginal bidding for energy is simulated by linearizing generation cost,and an optimal market clearing strategy for FRPs is developed according to changes in clearing energy and marginal clearing ***,the correlation between prediction errors of wind speeds among different wind farms is determined based on a joint distribution function modeled by the copula function,and quasi-Monte Carlo simulation(QMC)is used to generate wind power ***,numerical simulations of modified IEEE-30 and IEEE-118 bus systems is performed with minimum comprehensive cost as the objective *** verifies the proposed model could effectively deal with wind variability and uncertainty,stabilize the marginal clearing price of the electricity market,and ensure fairness in the market.

关键词： Flexible ramping product marginal clearing price risk cost stochastic economic dispatch wind power correlation

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