Research On Cutting Demand And Cost Of Electricity Of Large Industrial Users Considering Load Characteristics And Energy Storage Configuration

With the rapid development of the economy and society,energy issues have become increasingly prominent.The consequent rise in electricity cost has also brought tremendous pressure on the industrial production.Due to the large consumption of electricity energy,industrial users need to pay huge electricity bills which occupy a large proportion of the total cost of industrial users.In order to reduce the consumption and expenses of electricity,large industrial users usually conduct the demand management on their own loads.By adopting methods such as load control,the maximum demand can be reduced,electricity costs can be saved,and economic benefits can be improved for industrial users.However,with the promotion of the commercial application of energy storage,a new solution for demand management through energy storage configuration has emerged,which is different from traditional load control methods.Therefore,it is necessary to carry out research on the practical effects of energy storage configuration in the scenario of cutting demand and cost of electricity of industrial users.The main work of this paper is to establish the configuration planning model and operation optimization model of the energy storage devices,and evaluate the performance of energy storage devices in terms of peak shaving,economic benefits,etc.(1)A scheme is proposed to select industrial users with the potential of cutting demand and cost.By using the adaptive FCM algorithm,the typical daily load curves of large industrial users can be clustered.With the analysis of the maximum demand characteristics of different load types in the clustering results,the clustering center which has the greatest potential of cutting demand and cost is selected as the object of energy storage configuration.(2)A single-type energy storage configuration planning model for large industrial users has been established.The model aims to optimize the economic benefits in the whole life cycle of the energy storage system,and comprehensively considers the constraints which contain the investment cost of the energy storage system,the maximum of monthly demand and the operation conditions of the energy storage system.By using a single type of battery to implement the energy storage configuration planning,the target of cutting demand and cost of electricity of large industrial users is achieved.(3)A two-stage planning method of hybrid energy storage configuration for large industrial users is proposed.Based on the empirical mode decomposition algorithm,the users’ loads are divided into peak loads and base loads.Li-ion batteries are used to implement a firststage plan for peak loads,and then Pb-C batteries are used to implement a second-stage plan for base loads and margins of peak loads.(4)An optimization model of energy storage operation schemes for large industrial users has been established.The model takes load balance as the goal,and consider the constant economic benefits constraint as well as operating conditions of the energy storage system.After using the model to optimize the charging and discharging operation plan of the energy storage system,the new operation scheme gets better applicable performance.This paper has established a configuration planning and operation optimization model of the energy storage devices.By solving the model,the rated capacity,rated power and charging and discharging scheme of the energy storage devices under the optimal economic benefit can be obtained.The above parameters can provide reasonable suggestions and references for users to actually configure the energy storage system and ultimately achieve the goal of cutting demand and cost of electricity of large industrial users.