Research On Optimal Power Distribution Of Multi-user Interactive Response In Industrial Parks

The interactive response of industrial park users with interruptible equipment,source-containing equipment and energy storage equipment to the superior power grid is an effective measure to reduce users' electricity cost and increase users' utilization rate of renewable energy such as distributed photovoltaic.At the same time,it is also a good means to smooth the load curve,to reduce the power supply pressure of the contact line of the industrial park in the peak period,and in some extent to delay the transformation time of the contact line of industrial park and the corresponding equipment.Modern industrial park users have a variety of equipment,such as interruptible load,distributed photovoltaic,distributed energy storage,etc.,and can interact with the power grid in various forms in the process of interactive response.By optimizing the power distribution mode of users in the industrial park in the process of interactive response,users in the industrial park can obtain greater benefits through interactive response.At first,this paper summarizes the research status and development trend of interactive response and optimal power distribution in the park at home and abroad.On this basis,according to the classification of user interaction equipment,the main forms of multi-user interaction with power grid in the industrial park is expounded,and the setting of power distribution center in the industrial park is put forward,according to the logical framework of interactive response system.Then,based on the analysis of the principle of traditional simulated annealing and simulated annealing genetic algorithm,an interactive response model based on the duration of interactive response was established.By analyzing the limitations of the traditional simulated annealing algorithm,the concept of user differentiation is proposed,and the traditional simulated annealing algorithm is improved.The improved simulated annealing algorithm is used to solve the optimal load distribution under short-time interactive response,and the effectiveness of the algorithm is verified by an example analysis.Finally,the similarities and differences between short-time and long-time interactive response processes are compared and a long time interactive response model is established.Then,the long-time interaction response process is divided into several short time response periods,and the connection conditions between short time interactions are added to solve the problem.The genetic algorithm and simulated annealing algorithm are combined by helical alternating computation.Model annealing algorithm is used to solve the load distribution among users with short-time response,and genetic algorithm is used to optimize the connection mode of time periods.Finally,an example is given to verify the effectiveness and correctness of the fused algorithm.