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机构地区:[1]新能源电力系统国家重点实验室(华北电力大学),北京市102206 [2]中国电力科学研究院,北京市100192 [3]国网甘肃省电力公司电力科学研究院,甘肃省兰州市730050
出 处:《电力系统自动化》2017年第7期135-143,共9页Automation of Electric Power Systems
基 金:国家科技支撑计划资助项目(2015BAA01B04);国家电网公司重大科技项目(522722140032);中央高校基本科研业务费专项资金资助项目(JB2015121)~~
摘 要:随着风电并网容量的增加,风电反调峰特性加剧,负荷低谷期的风力资源反而充裕,导致常规电源下调峰能力不足,风电受阻现象凸显,如何提高下调峰时期风电消纳能力,成为亟须研究的问题。首先,量化风电并网系统下调峰时期风电受阻现象;其次,在技术约束条件下考虑各参与主体的经济利益,构建高载能负荷消纳受阻风电的供应链,以风电场、输电商和高载能企业作为供应链的决策者,建立收益函数;最后,针对供应链竞争和合作两种状态,构建供应链非合作和合作博弈决策模型,并结合两者形成高载能负荷消纳受阻风电的供应链博弈决策方法。该方法基于技术约束下消纳的风电受阻电量,遵循经济收益博弈规律,制定出各主体经济收益达到均衡且多赢的供应链博弈决策,既能消纳受阻风电又能使供应链收益最大。算例分析验证了所述供应链博弈决策的可行性与有效性。With increasing penetration of wind power,the anti-peak-shaving characteristic of wind power has become more intense.By reason of sufficient wind power during light load period,conventional power sources are not able to reduce adequate output capacity to meet peak-shaving requirement and improve wind power congestion situation.To fully utilize the congested wind power caused by peak-load regulation deficiency,a supply chain game based strategy for high-energy load enterprises is proposed.A model of quantifying the congested wind power is introduced first.To consume the congested wind power,a supply chain is constructed,including wind farms,transmission networks and high-energy load enterprises.Furthermore,the decision model for each participant is proposed by taking into account their benefit and corresponding technical constraints in forming revenue functions.To model both competitive and cooperative modes,different supply chain games are proposed based on non-cooperative and cooperative game theories.Models for solving these games are provided subsequently based on which,a hybrid decision model is presented to high-energy load enterprises.The model is not only able to consume congested wind power,but also to maximize the revenues of supply chain participants.The feasibility and effectiveness of the proposed strategy is demonstrated by simulation results.
关 键 词:调峰 风电受阻电量 高载能负荷 供应链 非合作博弈 合作博弈
分 类 号:F274[经济管理—企业管理] F224.32[经济管理—国民经济] TM614[电气工程—电力系统及自动化]
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