基于CRITIC法和非合作博弈的电动汽车充电站的规划方法

本发明公开了一种基于CRITIC法和非合作博弈的电动汽车充电站的规划方法,该方法包括如下步骤:步骤一,计算规划区域内保有EV的时空充电需求;步骤二,构建EV充电站选址的各分项指标,并采用CRITIC法对它们进行加权,进而建立能够反映EV充电需求的充电站选址综合指标;步骤三,对EV充电站三个参与方进行利益分析,通过非合作博弈论建立EV充电站的多主体博弈模型;步骤四,最后,建立以EV充电站选址综合指标最大为目标的上层选址模型和以多主体博弈均衡为目标的下层定容模型,采用分支定界法和内嵌辅助目标函数的迭代搜索方法对模型上、下层进行迭代求解。该方法通过指标的相关性及博弈对电动汽车充电站进行规划,准确性和...

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LanguageChinese
Published 06.12.2024
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Summary:本发明公开了一种基于CRITIC法和非合作博弈的电动汽车充电站的规划方法,该方法包括如下步骤:步骤一,计算规划区域内保有EV的时空充电需求;步骤二,构建EV充电站选址的各分项指标,并采用CRITIC法对它们进行加权,进而建立能够反映EV充电需求的充电站选址综合指标;步骤三,对EV充电站三个参与方进行利益分析,通过非合作博弈论建立EV充电站的多主体博弈模型;步骤四,最后,建立以EV充电站选址综合指标最大为目标的上层选址模型和以多主体博弈均衡为目标的下层定容模型,采用分支定界法和内嵌辅助目标函数的迭代搜索方法对模型上、下层进行迭代求解。该方法通过指标的相关性及博弈对电动汽车充电站进行规划,准确性和可靠性高。 The invention discloses a method for planning an electric vehicle charging station based on a CRITIC technology and a non-cooperative game. The method comprises the following steps: step 1, calculating space-time charging requirements of EV in a planning area; step 2, constructing each sub-item index of EV charging station site selection, and weighting the sub-item indexes by adopting a CRITIC method so as to establish a charging station site selection comprehensive index capable of reflecting an EV charging demand; step 3, performing benefit analysis on the three participants of the EV charging station, and establishing a multi-subject game model of the EV charging station through a non-cooperative game theo
Bibliography:Application Number: CN202111221924