Research On Key Technologies For Accurate Management Of Industrial Load Electricity Demand

Energy shortage and environmental degradation are important factors restricting the sustainable development of society and economy.The energy problem has become an urgent problem that all mankind needs to solve.As a large energy consumer in China,industrial enterprises consume large amounts of electricity,and their electricity bills remain high.The efficient use of their energy plays an important role in China's industrial green transformation and economic development.How to promote the green transformation of industry and the effective and rational use of energy are important measures to implement the "13th Five-Year Plan" and promote the implementation of the energy revolution and the construction of a national ecological civilization.Under this background,in view of the key problems faced by the efficient use of energy by industrial enterprises to reduce power consumption and reduce electricity bills,industrial enterprises accurately manage industrial load demand.First,select the load of industrial enterprises with strong coupling and correlation to model.By analyzing the process flow of the production equipment load in the industrial load,a model of continuous load,strongly correlated load,pre-load,and synchronous load in the process flow is established.According to the constraints of the relationship between the air conditioning load power and temperature in the industrial load,the air conditioning load model is established,and the electricity satisfaction model is established for the relationship between the air conditioning temperature adjustment and the power consumption comfort and satisfaction of industrial enterprises.At the same time,the model of energy storage load is established by analyzing the power relationship and constraints between energy storage periods of industrial load.The industrial load model provides predicted load types for load forecasting and is the basis of the industrial load comprehensive optimized scheduling model.Secondly,this article introduces the training method of TRUST-TECH neural network,and summarizes the characteristics of ELITE "diversity,accuracy,and optimality".Based on the prediction method of neural network set(ELITE)based on TRUST-TECH input pruning,according to the classification of the load,the electricity consumption of various industrial loads in the optimization cycle is predicted.Simulation results show that the prediction method proposed in this paper has higher prediction accuracy and better prediction performance compared with other prediction methods.According to the load forecast results,the power consumption data of each load and the power consumption trend of industrial enterprises in the optimization cycle are obtained,which provides the data basis for the next comprehensive optimization dispatch of industrial loads.Finally,according to various industrial load models and load prediction results,comprehensive optimization scheduling of industrial load.In the comprehensive optimized dispatch of industrial load,the industrial load in electrolytic aluminum enterprises is selected as the research object,and the lowest electricity purchase cost and optimal electricity satisfaction of electrolytic aluminum enterprises are taken as the goals,and a dual-objective optimal dispatch model is established.According to the electricity consumption data provided by load forecasting,a set method integrating constraint processing method(ECHM)and multi-objective differential evolution(MODE)algorithm is applied to solve the constrained multi-objective optimization problem.The simulation results show that: compared with before optimization,under the condition of less influence on electricity consumption,industrial enterprises' electricity consumption is greatly reduced,and their electricity consumption costs are significantly reduced.At the same time,energy storage and different loads are used for comprehensive control and optimization to reduce the maximum power consumption of industrial loads.The electricity tariff and basic electricity tariff are both reduced and do not affect power consumption satisfaction.