摘要
面对风电和电动汽车大规模接入对电网的安全经济运行带来的挑战,文中以运行成本最小、污染物排放最低为目标,建立了风电-电动汽车协同调度的多目标安全约束机组组合模型(SCUC).将可充放电的电动汽车作为可优化调度单元,建立虚拟电价策略,以充电成本最小为目标来制定合理的充放电计划;使用模糊机会约束规划来描述风电的间歇性和不确定性,通过电动汽车充放电平抑风电波动,降低机组出力调整的频率,提高了电网安全运行的经济性.仿真结果表明,该模型可以很好地利用各因素之间的互补性,提高风电利用率,实现更好的经济、环境效益.
In view of the impact of the large-scale access of wind power and electric vehicles on power grids,a multi-objective security-constrained unit commitment model based on the co-scheduling of the wind power and the electric vehicles( EVs) is constructed by taking the lowest operating cost and the lowest pollution emission as the objectives. In the model,by regarding a charging and discharging electric vehicle as an optimal scheduling unit,a virtual electricity pricing strategy is established to make a reasonable charge and discharge plan with the goal of minimizing the charge cost. Then,a fuzzy chance-constrained program is used to describe the intermittency and uncertainty of the wind power,and the vehicle-to-gird( V2 G) method is adopted to stabilize the wind power fluctuation and reduce the adjusting frequency of the unit,thus improving the economy of the power grids in a safe operation. Simulation results demonstrate that the constructed model can utilize the complementarity between various factors to promote the utilization of the wind power and thus achieve better economic and environmental benefits.
出处
《华南理工大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2017年第10期78-86,共9页
Journal of South China University of Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(61374097)
国家重点研发计划项目(2016YFB0901905)
东北大学秦皇岛分校科技支撑计划项目(XNK201603)~~
关键词
电动汽车
机组组合
虚拟电价
风力发电
模糊机会约束
electric vehicle
unit commitment
virtual electricity price
wind power
fuzzy chance constraint