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针对光储充电站的分时电价定价问题，提出了一种考虑用户里程焦虑的光储充电站定价优化模型，分析了电价对光储充电站运营的影响。首先，通过建立用户里程焦虑心理的数学模型，量化描述了用户的里程焦虑程度，实现了对里程焦虑用户的识别分类。然后，在此基础上，建立考虑里程焦虑的用户充电需求响应模型和光储充电站的定价策略模型，实现光储充电站的最优电价制定。最后，通过算例对所提定价策略进行验证。分析结果表明，所提出的电价制定策略有效提高了充电站的运营收益和光伏的就地消纳。
Abstract：Regarding the time-of-use(ToU) electricity pricing for photovoltaic energy storage charging stations(PVES CSs), a pricing optimization model that takes into account users' range anxiety is proposed, and the impact of electricity prices on PV-ES CSs is analyzed. Firstly, by constructing a mathematical model of users' range anxiety, the degree of such anxiety is quantitatively depicted, enabling the identification and classification of users experiencing range anxiety. Subsequently, based on this, a users' charging demand response model that considers range anxiety and a pricing strategy model for PV-ES CSs are developed to work out the optimal electricity price. Finally, the proposed pricing strategy is verified via a numerical example. The analysis results indicate that the proposed strategy effectively enhances the operating revenue of charging stations and promotes the local integration of photovoltaic power.
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基本信息:
DOI：10.19585/j.zjdl.202507007
中图分类号:F426.61
引用信息:
[1]鲍翔,池映晨,吴燕等.考虑用户里程焦虑的光储充电站定价策略[J].浙江电力,2025,44(07):64-71.DOI:10.19585/j.zjdl.202507007.
基金信息:
国家自然科学基金(51577086)