计及碳排放的电动汽车充电站优化定价策略OA
Optimal Pricing Strategy of Electric Vehicle Charging Stations Considering Carbon Emissions
在碳中和背景下,提出了一种计及碳排放的电动汽车充电站优化定价策略.首先,构建电动汽车用户价格响应特性模型;其次,建立以碳排放最低、负荷峰谷差最小以及充电站收益最高为目标的定价优化模型并将其转化为马尔科夫决策过程;然后,提出一种基于时间差分误差的改进近端策略优化算法,以提高算法的效率与稳定性;最后,通过算例分析表明,所提定价策略能够降低配电网负荷峰谷差,提高充电站经济效益与低碳水平.
In the context of carbon neutrality,an optimal pricing strategy for electric vehicle charging stations considering carbon emissions was proposed.Firstly,a price response characteristic model of electric vehicle users was constructed.Secondly,an optimal pricing model with the lowest carbon emission,the minimum load peak-valley difference and the highest charging station revenue as the objectives was established and transformed into a Markov decision process.Then,an improved proximal policy optimization(PPO)algorithm based on the time difference error was proposed to improve the efficiency and stability of the algorithm.Finally,the example analysis shows that the proposed pricing strategy can reduce the peak-valley difference of distribution network load and improve the economic benefit and low carbon level of charging station.
尹力;盛俊杰;袁杰;冯燕钧
国网湖北省电力有限公司武汉供电公司,湖北 武汉 430000国网湖北省电力有限公司武汉供电公司,湖北 武汉 430000国网湖北省电力有限公司武汉供电公司,湖北 武汉 430000东南大学电气工程学院,江苏 南京 210096
信息技术与安全科学
充电站碳排放定价策略深度强化学习改进近端策略优化算法
charging stationcarbon emissionpricing strategydeep reinforcement learningimproved proximal policy optimization(PPO)algorithm
《电气传动》 2026 (2)
50-57,8
国家电网公司科技项目(5400-202322566A-3-2-ZN)
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