摘要
为平抑大量电动汽车(EV)入网所致的负荷波动,实现能源网低碳电力运行,通过结合V2G和P2G技术,将电力系统与天然气系统之间的能量耦合。先引入需求响应策略建立负荷侧分时电价,引导大规模EV参与V2G系统,改变用户的用能时段;其次考虑碳排放环境因素建立低碳能源网模型,以经济性最优为目标利用禁忌-粒子群算法进行求解;最后利用算例对比分析了低碳能源网的能量调度和运行成本情况,验证了所提方法的有效性。
To suppress the load fluctuation caused by a large number of electric vehicles(EV)connected-grid and realize the low-carbon power operation of energy grid,the energy coupling between the power system and the natural gas system is realized by combining V2 G(vehicle to grid)and P2 G(power to gas)technology.Firstly,the demand response strategy is introduced to establish time of use price on load side,which guides large-scale EV to participate in V2 Gsystem and changes the energy consumption period of users.Secondly,considering the environmental factors of carbon emissions,the low-carbon energy network model is established.The Tabu-particle swarm optimization algorithm is used to solve the problem with the goal of economic optimization.Finally,the effectiveness of the proposed method is verified by comparative analysis of energy scheduling and operation cost of low-carbon energy grid.
作者
郑浩
崔双喜
郑娟强
程叶凡
ZHENG Hao;CUI Shuang-xi;ZHENG Juan-qiang;CHENG Ye-fan(College of Electrical Engineering,Xinjiang University,Urumqi 830047,China;State Grid Xinjiang Akesu Power Supply Company,Akesu 843000,China)
出处
《水电能源科学》
北大核心
2021年第4期199-203,共5页
Water Resources and Power
基金
新疆大学自然科学基金项目(BS160246)。
