Energy management scheme of single‐phase electric energy router with two‐layer intelligent control combined with optimal scheduling of battery

Abstract

As a key equipment in energy internet, the Electric Energy Router (EER) which takes the converter as the core device solved the problems of power diversity and multi-directional flow of power. This paper designs a household single-phase electric energy router (SPEER), and proposes an energy management scheme with two-layer intelligent control combined with optimal scheduling of battery under isolated grid and grid-connected conditions. The upper instruction layer mainly uses holistic intelligent decision-making and the lower execution layer controls each converter to complete the energy management of the entire system according to the upper instructions. In the isolated grid, The SPEER operates in three modes based on AC/DC distributed generation, AC/DC load and energy storage status to maintain the stability of the system. When connected to the grid, according to the actual situation of a certain place and the peak-valley price policy, the charging/discharging time and power flow direction of the battery can be optimized, which can improve the operating economy. Finally, the correctness of the proposed energy management scheme was verified through experiments.

DSP‐based energy optimization management of household single‐phase electric energy router with historical and real‐time data

“…The equation of the total electric energy consumption in an optimization cycle is shown in (6), where P i buy is the purchase power from the grid at time i; P i sale is the selling power to the grid at time i; P i DG is the distributed power at time i; P i load is the load power; x i sub is the government subsidy for new energy power generation; x i buy is the power purchase price of the grid at time i; x i sale is the price of DG energy sold to the grid at time i; C i bat is the depreciation cost of the charging and discharging of the battery in a unit period, which is obtained from (4); a i is the power purchase state at time i, which is 1 when purchasing power and 0 when selling power; b i is the power sale state at time i, which is 1 at the time of power sale and 0 at the time of power purchase; Δt is the unit time period.…”

“…4) Real-time economic optimal objective function Equation (6) shows the total power consumption of the SPEER in one operation cycle, and the energy management optimization scheme needs to achieve real-time optimization to improve the accuracy. That is, the energy management optimization scheme needs to calculate the economic optimization function once on each time section, as shown in (8).…”

“…The converter 4 realizes bidirectional power flow, which is used to realize power exchange between the dc bus and the ac bus; the converter 2 uses bidirectional dc/dc converters to control the charging and discharging of the battery; the converter 3 is a dc/dc converter, which is applied to the dc load side to provide stable voltage for the dc load with various voltage levels. The power control of converters including the charging and discharging control of the energy storage is similar to that described in literature [6].…”

“…The concept of electric energy router (EER) [1–5] was proposed, which is aimed to highly integrate DGs and make efficient use of renewable energy. As a kind of EER, the household single‐phase electric energy router (SPEER) [6] is a good solution to power diversity and multi‐directional flow of power. The SPEER integrates the distributed energy input port, the load port, the grid connection port, converters, the energy storage equipment, the power control system and the energy management system.…”

Intelligent scheduling and optimization of microenergy grid: the application and development of computer technology

“…The use of a smart grid system can make effective analysis on the basis of electricity consumption data, providing a reference for the decision-making of the grid company. Literature [14] designed a home single-phase electrical energy router by combining an isolated grid with optimal scheduling of batteries under intelligent control, through which the router can solve the problems of power diversity and multidirectional flow of power in the grid system. Based on this router, it can enhance the economic operation of the grid system and achieve intelligent and optimal scheduling of power energy in the grid.…”