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作 者:沙梦一 池宏 高敏刚 SHA Meng-yi;CHI Hong;GAO Min-gang(School of Public and Management,University of Chinese Academy of Sciences,Beijing 100049,China;Institutes of Science and Development,Chinese Academy of Sciences,Beijing 100190,China)
机构地区:[1]中国科学院大学公共政策与管理学院,北京100049 [2]中国科学院科技战略咨询研究院,北京100190
出 处:《数学的实践与认识》2023年第11期13-25,共13页Mathematics in Practice and Theory
基 金:国家自然科学基金(72134004)。
摘 要:分布式光伏微电网是吸纳和利用清洁太阳能资源的有效技术,由于政策的支持、科技的发展以及光伏装机量的提升,基于微电网的电力交易具有一定的应用和研究潜力,并且有利于提高用户的经济效益.考虑光伏发电剩余电量和用电量的随机性,研究在允许两轮讨价还价的交易模式下,微电网之间进行电力交易的最优计划交易量以及最优计划交易单价.构建相应的博弈模型,得到买卖双方微电网不同优先行动顺序下两轮交易中双方的最优策略、达到的最优收益,并且分析最优交易量、最优收益等与光伏上网电价、电网售电电价、贴现因子等模型参数之间的关系,同时给出具有优先行动优势的条件.最后,构建算例,分析研究结论的有效性.Distributed photovoltaic microgrid is an effective technology to absorb and utilize clean solar energy resources.And the support of policies,development of technology and the growth of photovoltaic installation bring opportunities to energy trading among microgrids,which enables microgrids with excessive power generations can trade with other microgrids in deficit of power supplies for mutual benefits.In this paper,considering the uncertainties of PV power generation and actual energy demand,we design a bargaining-based model to study the optimal trading strategies for microgrids and decide the amount and unit price of energy to trade.Then we provide the conditions for first-mover advantages and investigate the relationships between optimal strategies and some key parameters,such as PV feed-in tariff,electricity price and discount factors.At last,a numerical example is carried out to analyze the correctness of the research conclusions and the results also show that both microgrids can achieve win-win outcome in energy trading.
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