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考虑碳排放的电动汽车与光伏协同的调度策略

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从负荷聚合商角度考虑,通过提高其运营负荷中电动汽车充电负荷与光伏的协同性,可以实现聚合商对光伏的及时消纳,降低碳排放水平.首先,结合光伏出力特点与需求响应形式提出两种电动汽车调度策略:"绿电"收费策略与"绿电"补贴策略."绿电"收费策略即依据光伏出力情况,制定出高、中、低三档的充电价格引导电动汽车有序充电;"绿电"补贴策略是在"绿电"收费策略的基础上,对各时段的充电价格给予不同额度的补贴,进一步提高电动汽车响应积极性.通过将碳排放水平纳入经济性目标建立包含售电收益、服务费收益以及碳收益的综合收益最大的目标函数,并运用遗传算法进行优化求解.仿真结果表明,所提策略有效提高了电动汽车与光伏的协同性,实现了负荷聚合商的增收减排.
Cooperative Scheduling Strategy of Electric Vehicle and Photovoltaic Regarding Carbon Emission
From the perspective of load aggregators,the aggregators can timely absorb PV and reduce carbon emissions by improving the synergy between electric vehicle charging load and photovoltaic in its operating load.Firstly,we pro-posed two EVs scheduling strategies based on the characteristics of photovoltaic output and the form of demand re-sponse:"green power"charging strategy and"green power"subsidy strategy.The"green power"charging strategy is to formulate the charging prices of high,medium and low levels according to the photovoltaic output to guide the or-derly charging of electric vehicles.The"green power"subsidy strategy means that on the basis of the"green power"charging strategy,different amounts of subsidies are given to the charging price in each period of time to further improve the response enthusiasm of electric vehicles.By incorporating the carbon emission level into the economic objective,we established the objective function with the maximum comprehensive income including electricity sales income,service fee income and carbon income,and used the genetic algorithm to optimize the solution.The simulation results show that the proposed strategy effectively improves the synergy between electric vehicles and photovoltaic,and realizes the revenue increase and emission reduction of load aggregators.

electric vehiclesdemand responsephotovoltaic consumptioncarbon emissions"green power"char-ging strategy"green power"subsidy strategy

梁海峰、谭杰、曹煜祺、杨鹏伟、陈军法

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华北电力大学电气与电子工程学院,河北保定 071003

国网冀北电力有限公司张家口供电公司,河北张家口 075000

电动汽车 需求响应 光伏消纳 碳排放 "绿电"收费策略 "绿电"补贴策略

国家电网冀北电力有限公司张家口供电公司科技项目

SGJBZJOOYJJS2001096

2024

华北电力大学学报(自然科学版)
华北电力大学

华北电力大学学报(自然科学版)

CSTPCD北大核心
影响因子:0.868
ISSN:1007-2691
年,卷(期):2024.51(4)