1.School of Electrical Engineering,Shanghai Electric Power University;2.Energy and power science and technology innovation center of Shanghai Electric Power University;3.School of economics and management, Shanghai Electric Power University
文章以虚拟电厂(Virtual Power Plant,VPP)作为分布式可再生能源的管理手段,提出了一种同时考虑电动汽车(Electric Vehicle,EV)碳足迹与分时电价的VPP协调优化调度模型,模型中为了进一步调动VPP聚合单元内的EV用户参与碳减排的积极性,以燃油车的单位行驶里程碳排作为参考,考虑EV用户能够将行驶同里程下电动汽车相比燃油车省下的碳排量以碳配额的形式通过在碳交易市场进行交易来获取利益,使其在降低用户成本的同时充分发挥EV的节能减排能力。模型以VPP日运行收益最大作为优化目标,并将计及碳配额收益基础上的电动汽车充电成本与分时电价考虑进模型中,最后通过算例分析验证该模型能够有效减少弃风弃光量,为虚拟电厂如何在风光出力随机性前提下接纳更多可再生能源提供了一种解决思路。
The article uses Virtual Power Plant as a distributed renewable energy management method, and proposes a VPP coordinated and optimized dispatch model that considers both the carbon footprint of electric vehicles and the time-of-use electricity price. To mobilize the enthusiasm of EV users in the VPP aggregation unit to participate in carbon reduction, take the carbon emissions per unit mileage of fuel vehicles as a reference, and consider that EV users can compare the carbon emissions saved by electric vehicles with the same mileage compared to fuel vehicles. In the form of allowances, profits are obtained by trading in the carbon trading market, so that it can reduce user costs while giving full play to the energy-saving and emission-reduction capabilities of EVs. The model takes the maximum daily operating income of VPP as the optimization goal, and takes into account the charging cost of electric vehicles and the time-of-use electricity price based on the carbon allowance income. Finally, a numerical example is used to verify that the model can effectively reduce the amount of abandoned wind and light, which provides a solution for how the virtual power plant can accept more renewable energy under the premise of random wind output.