基于信息间隙决策理论的含电动汽车虚拟电厂 经济优化调度

Economic Optimal Scheduling of Virtual Power Plant with Electric Vehicles Based on Information Gap Decision Theory

中文关键词: 信息间隙决策理论  电动汽车  虚拟电厂  优化调度

英文关键词: Information Gap Decision Theory  electric vehicles  virtual power plant  optimal scheduling

中文摘要:

      为降低可再生能源输出和电动汽车出行的不确定性给虚拟电厂调度带来的风险，本文提出了一种基于信息间隙决策理论的含电动汽车虚拟电厂优化调度模型。首先，基于电动汽车用户行为特征建立电动汽车负荷预测模型；其次，基于虚拟电厂框架，建立含电动汽车的虚拟电厂优化调度模型；接着，针对该模型中的不确定参数，引入信息间隙决策理论对其进行建模分析；最后，对某虚拟电厂进行算例测试，验证所提模型和算法的正确性和有效性。算法结果表明，该方法能有效地实现负荷侧调峰和填谷，在经济性和稳定性方面具有优越性。

英文摘要:

      In order to reduce the risk brought by the uncertainty of renewable energy output and electric vehicle travel to virtual power plant scheduling, this paper proposes an optimal scheduling model of virtual power plant including electric vehicles based on information gap decision theory. Firstly, the electric vehicle load forecasting model is established based on the user behavior characteristics of electric vehicles. Secondly, based on the framework of virtual power plant, the optimal scheduling model of virtual power plant with electric vehicle is established. Then, according to the uncertain parameters in the model, the information gap decision theory is introduced to model and analyze it. Finally, a virtual power plant is tested with an example to verify the correctness and effectiveness of the proposed model and algorithm. The results of the algorithm show that the method can realize the load side peak balancing and valley filling effectively, and has advantages in economy and stability.