摘要
随着微网数量不断增加及风电渗透率逐渐提高,微网与配电网频繁的能量交互对配电网的运行产生不利影响。为减少微网与配电网之间非必要的能量交互,促进风电就近消纳,构建了计及风电不确定性,以系统运营主体收益最大化、多微网用电总成本最小化为优化目标的区域多微网-配电网能源交易模式。首先,该模式通过运营主体整合区域内负荷及风电出力情况,划分系统内部峰谷时段,提高风电利用率。其次,为增强应对风电不确定性的能力,交易模式采用负荷转移率刻画峰谷分时(time-of-use,TOU)电价用户响应度,并建立考虑风电不确定性的区域多微网系统峰谷分时电价制定模型。最后,采用与蒙特卡洛方法相结合的带精英策略的非支配排序的遗传算法(elitist nondominated sorting genetic algorithm,NSGA-Ⅱ)对交易模式中的多目标优化问题进行求解。算例验证了所提交易模式有利于降低微网用电成本,提升多微网整体效益,实现区域多微网系统与配电网友好互动。
As the number of microgrids continues to increase,the frequent energy interaction between the microgrid and the distribution network will have an adverse impact on the operation of the distribution network. In addition,the gradual increase in penetration rate of wind power leads to a large amount of wind power entering the distribution network,which also imposes a serious burden on the operation of the distribution network. In order to reduce the unnecessary energy interaction between the microgrid and the distribution network,promote the local consumption of wind power,this paper constructs an energy transaction mode for multi-microgrid and distribution network that considers wind power uncertainty.The optimization goal of this mode is to maximize the revenue of the system operation entity and minimize the total cost of power consumption of the multi-microgrid. This mode integrates the load and wind power output in the area through operation entity,and divides the internal peak-to-valley time of the system to improve the utilization of wind power. In order to enhance the ability to cope with the uncertainty of wind power,the transaction mode uses the load transfer rate to describe the user response of TOU prices and establish a model for the TOU price of regional multi-microgrid systems considering wind power uncertainty. Finally,the multi-objective optimization problem in the model is solved by the NSGA-II algorithm combined with the Monte Carlo method. The example proves that the proposed transaction mode is beneficial to reduce the cost of electricity used in microgrids,improve the overall benefits of the multi-microgrid,and realize the friendly interaction between the multi-microgrid system and the distribution network.
作者
谭思维
刘洋
许立雄
王瀚琳
TAN Siwei;LIU Yang;XU Lixiong;WANG Hanlin(College of Electrical Engineering,Sichuan University,Chengdu 610065 ,China)
出处
《电力建设》
北大核心
2019年第7期1-9,共9页
Electric Power Construction
基金
四川省科技厅重点研发项目(2019YFG0152)~~