Research On Power Supply Allocation Strategy For Capacity-constrained Users

In recent years,newly-added electrical equipment has continued to increase,user loads have risen,and peak-valley gaps have continued to increase.Due to the limitation of power supply capacity,the power supply system is prone to overcapacity,which seriously affects the normal operation of the power supply and distribution system of enterprises and communities.The behavior of users’ over-capacity power consumption increases the potential safety hazards of the line and cannot guarantee the safe operation of the power supply system.Therefore,users of small power supply systems with limited capacity need to regulate and limit the power consumption of users,and adjust the power consumption plan in time.This paper takes an old teaching building and a small factory with limited capacity as an example to study the power supply allocation strategy for users with limited capacity.The specific work content is as follows:1.First,analyze the composition and function of the load distribution monitoring system for capacity-constrained users,and analyze the load characteristics of different types of capacity-constrained users,including the correlation between load and temperature and the periodicity of the load,and introduce the short-term load.The characteristics of forecasting,the methods of short-term load forecasting,load distribution and current setting value calculation for capacity-constrained users are studied.2.Taking the campus No.1 teaching building and toy factory as the research objects,analyze the composition of these two types of capacity-constrained user power supply systems,process their load data,and use the particle swarm optimization least square support vector machine algorithm to load forecast.Establish a short-term load forecasting model.According to the results of the load power curve fitting,the characteristics of the load change of the power supply system of the school building No.1 and the toy factory are analyzed to determine the time when users overuse electric energy.3.Research the power distribution strategy of capacity-constrained users,analyze the load distribution problem of capacity-constrained users with the campus No.1 teaching building and toy factory as the research object,and determine the objective function and constraint conditions.A load allocation scheme based on priority allocation and power consumption allocation is proposed,and the differential evolution algorithm is used to optimize the load allocation problem.According to the optimization results,the available power of each branch user in the power supply system is determined,and the excess power consumption is limited.4.The software and hardware platforms are built for the framework of the load distribution monitoring system for users with limited capacity.Based on the comprehensive experimental device for power supply monitoring in the laboratory,the research environment is constructed using King View software,MATLAB,PLC and other upper computer software and lower computer control equipment,combined with data analysis related to power supply deployment strategies,and an intuitive configuration interface is established to verify the feasibility of the power allocation strategy for capacity-constrained users.This paper has conducted an in-depth study on the power supply allocation strategy for capacity-constrained users and its load distribution monitoring system.Under the conditions of existing power supply facilities,it provides a strategy for coordinating the load distribution of users in each branch of the power supply system.The research conclusions of this paper are not only suitable for teaching building-type and small-scale factory-type power supply systems,but also have certain reference significance for other power supply and distribution systems.