Research On Energy Management And Optimization Of Single-Phase Electric Energy Router

In order to actively respond to the national strategic development requirements of "carbon peak,carbon neutral",to deal with increasingly serious environmental pollution and resources shortage,a growing number of small distributed generation is introduced into the ordinary families in the community,formed the intelligent energy Internet based on the electric energy router(EER).As the core equipment of the energy Internet,electric energy router can realize the power control and energy management after the distributed generation into the household.This paper focuses on the research of the energy management and optimization scheme of single-phase electric energy(SPEER),including the following aspects:Firstly,the basic functions and implementation methods of the SPEER are analyzed.And the module and topology of the SPEER are designed,so that it can realize the AC/DC distributed generation,AC/DC power equipment and energy storage device plug and play.The SPEER is available in both grid-connected and isolated network operation operation modes,as far as possible to use distributed generation and meet the user’s demand for electricity.Then,the energy management scheme of each part of the electrical equipment of the SPEER under different working conditions is proposed.In addition,a hardware experiment platform is built to develop a prototype of the SPEER,and the basic functions of the SPEER are experimentally verified.Then,the energy management and optimization scheme of the SPEER under isolated network operation are studied in detail in this paper.A sub-mode energy management strategy based on energy storage state is proposed,which divides the operating state of the SPEER in isolated network into four modes,and the modes can be flexibly converted to achieve power balance.Then,an optimization method of load removal and reconnection is proposed to maximize the demand of household electricity.The experimental verification of the optimization method is completed on the hardware experimental platform.Finally,an optimization method of energy management for grid-connected operation is proposed with the objective of economic optimization.The residential electricity model is established,and the optimal objective function is proposed to minimize the energy consumption under multiple time scales.The operation constraints are given,and the particle swarm optimization algorithm is used to find the optimal solution.According to the solution results,the charging and discharging power of the energy storage device can be adjusted in real time,so as to change the energy flow of the whole system,so as to realize the real-time optimization of energy management of the SPEER and reduce the electricity consumption of the power router users to the greatest extent.An example is established to verify the optimization algorithm.At the same time,the complete hardware implementation of the economic optimization method is carried out on the hardware experimental platform.