Smart Grid Construction And Energy Coordinated Optimization In Large-scale Industrial Enterprises

Energy resource shortage,environment pollution and worsening climate are important factors that restrict the sustainable development of economy and society,and the energy and environment issues have become major strategic issues of great concern at home and abroad.How to promote the industrial green transformation and improve the industrial energy efficiency is a great measure to implement the 13 th Five-Year Plan and promote energy consumption revolution and ecological civilization construction.Large-scale industrial enterprises are the main body of national economy and major energy consumers,where the safe and stable production and the efficient use of energy play an important role in national economy development and industrial green transformation.Smart grid and energy internet are the expected development direction of the future power grid,and they are the effective measures to improve the security and stability of power system and promote the development of low carbon economy.Therefore,this paper focuses on the key issues of optimal energy saving operation of high energy consuming enterprises,which are the construction of smart grid and the coordinated optimization of energy in large-scale industrial enterprises.The construction includes foundation framework of smart grid and high reliability and high quality power supply scheme.The optimization includes production load leveling,production process scheduling and multi-energy collaborative optimization.The main conclusions of related research are as follows:(1)Focusing on the overall objectives of improving power supply reliability and power quality,realizing energy saving and emission reduction as well as promoting intelligent operation,this paper firstly proposes a systematic construction of smart grid in large-scale industrial enterprises,which will lay theoretical foundation and technical framework for the following research and application.Based on the main features and key problems of large-scale industrial enterprises,some foundation frameworks of smart grid such as functional architecture,system architecture and general framework are built up.Here a conceptual model called system of system(SOS)applied to smart grid is presented,and the key technologies of smart grid in large-scale industrial enterprises are expounded.In order to meet the demand of high reliability and high quality power supply of many important and sensitive loads,this paper designs a new power supply solution called high reliable power supply island.The basic structure and working principle of high reliable power supply island are systematically expounded,and then there application examples such as double powers served for double loads are presented,finally four typical application scenarios such as industrial equipment power supply are discussed.(2)According to the clustered distribution and impactive characteristic of production loads,this paper presents a new control strategy of time-sharing start and interleaving run for load leveling,which can be used to stabilize the production loads of large-scale industrial enterprises.Taking the electric arc furnace as an example,the load leveling model of time-sharing start and interleaving run for multiple electric arc furnaces is built,where the particle swarm optimization(PSO)algorithm is used to solve the optimization model.Three typical electric arc furnaces with different capacity and power are optimized respectively and the results indicate that the control strategy is effective in load leveling.Taking the oil pumping unit as the other example,the energy saving model of time-sharing start and interleaving run for clustered oil pumping units is built,where a hybrid algorithm based on genetic algorithm and particle swarm optimization(GA-PSO)is choosed to solve the optimization model.Five oil pumping units working with identical loads and different loads are optimized respectively to realize load leveling,and their energy saving effects under synchronous operation and time-sharing operation are calculated.The results show that the control strategy is effective in load leveling and energy saving.(3)Furthermore,this paper studies multi-objective optimization scheduling methods for the production process of large-scale industrial enterprises,as well as comprehensive collaborative optimization methods for the production process and multi-energy sources.A directed graph model for complex coupling process is established,and based on it the multi-objective optimization model of production process is carried out.The optimization model is solved by LINGO software,and a typical example of iron and steel enterprise is analyzed to verify its correctness.An optimization model for the production process and photovoltaic generation is established,and the same example of iron and steel enterprise is solved by Gurobi software.An optimization model for the production process and energy storage system is established,and the economic optimization method with energy storage system is studied.Finally,the energy resources such as photovoltaic and energy storage are all included in the optimization system,and we research the collaborative optimization of production process and multi-energy.The results show that multi-energy optimization can improve the comprehensive load characteristics,which will ensure the operation stability and improve the energy efficiency of large-scale industrial enterprises.