【作者】 张琨；

【导师】 葛少云；

【作者基本信息】 天津大学 ， 电气工程， 2017， 硕士

【摘要】 辅助服务是保证电力系统安全稳定运行的重要支撑手段,随着分布式能源的大规模接入,系统对辅助服务的需求进一步增加。与此同时,大量电动汽车接入电网,对电网的运行控制提出了新的要求,而电动汽车本身的特性决定了其具有为电力系统提供辅助服务的潜力。智能配电系统的发展使电动汽车得以为电力系统提供频率调节等辅助服务,本文提出的调频竞标模型建立在电动汽车车主、运营商以及电网调度三方信息交互的基础之上,首先利用车主提供的电动汽车状态参数确定每辆电动汽车在调频时刻的调频潜力,加和所聚集电动汽车的调频潜力得到电动汽车运营商的调频容量及竞标曲线,进而通过调频市场的竞标机制满足电网的调频需求,最后根据中标结果控制相应的电动汽车提供调频服务。仿真结果表明,除了部分出行高峰时期的向上调频信号,电动汽车可以很好地满足调频需求,平抑新能源和负荷波动,并且经济性分析显示电动汽车可以通过为电网主动提供调频服务而获得一定的经济收益。为应对大量电动汽车接入电网的趋势,本文研究了计及时空分布的电动汽车有序充电控制策略,使得在满足车主出行需求的前提下最小化电动汽车的充电成本。首先利用车主提供的电动汽车状态参数,并结合车辆出行历史信息以及区域地理信息,预测电动汽车次日的时空分布。进而运用启发式算法求解分时电价情形下以充电成本最小为目标的电动汽车充电时段,并提出了两种有序充电控制策略。最后提出了预测电动汽车充电负荷时空分布的方法。仿真结果表明:有序充电控制能够有效地减少充电成本,实现移峰填谷,但是不同控制策略下充电负荷的时空分布存在较大差异。更多还原

【Abstract】 Ancillary service is an important support means to guarantee the secure and stable operation of power system.With the large-scale access of distributed generations,the demand for ancillary service is further increased.At the same time,a large number of electric vehicles are connected to the grid,which puts forward new requirements to the operation control of the grid,and special features of electric vehicles make them promising candidates to provide ancillary services for the power system.The intelligent power distribution system makes it possible for electric vehicles to provide ancillary services,such as frequency regulation.The regulation bidding model proposed in this paper is based on the two-way information interaction among vehicle owners,aggregator,and grid operator.Firstly,the regulation potential of electric vehicle is determined according to the state parameters from vehicle owner.Based on the regulation potential,the aggregator offers its regulation capacity and bidding curves,and then bids in regulation market to meet the regulation demand.Finally,the aggregator controls the dispatched vehicles to provide regulation services.The simulation results show that electric vehicles can satisfy the regulation command signal to mitigate the fluctuation of distributed generations and loads,except several regulation-up signals during travel peak period.And the economic analysis indicates that electric vehicles can obtain economic profits by active provision of regulation services.To deal with a large number of electric vehicles connected to the grid,the coordinated charging control strategy for electric vehicles considering their spatial and temporal distribution is studied in this paper,making vehicle owners’ travel needs met and charging cost minimized.Firstly,vehicle state parameters provided by the vehicle owner,combined with the historical travel information and regional geographic information,are used to predict the spatial and temporal distribution of electric vehicles in the next day.Then under the condition of time-of-use electricity price,the charging time of electric vehicles are solved by the heuristic algorithm to minimize the charging cost,and two kinds of charging control strategies are proposed.At last,the method of predicting the spatial and temporal distribution of electric vehicles’ charging load is put forward.The simulation results show that the coordinated charging control can effectively reduce the charging cost and shift peak load to valley,but there is a big difference in the spatial and temporal distribution of charging load between different control strategies.更多还原