Abstract

A variable bus voltage DC microgrid (MG) is simulated in Simulink for optimization purposes. It is initially controlled with a Voltage Event Control (VEC) algorithm supplemented with a State of Charge Event Control (SOCEC) algorithm. This control determines the power generated/consumed by each element of the MG based on bus voltage and battery State of Charge (SOC) values. Two supplementary strategies are proposed and evaluated to improve the DC-DC converters’ efficiency. First, bus voltage optimization control: a centralized Energy Management System (EMS) manages the battery power in order to make the bus voltage follow the optimal voltage reference. Second, online optimization of switching frequency: local drivers operate each converter at its optimal switching frequency. The two proposed optimization strategies have been verified in the simulations.

Highlights

  • Electric power transmission network’s topology is being rethought and reformulated nowadays.Ecological, social and economic perspectives recommend moving towards grid decentralization.According to [1], distributed generation provides a range of benefits, including: Generation, transmission, and distribution capacity investments deferral.Ancillary services.Environmental emissions benefits.System losses reduction

  • Sub-section, thethe quantitative results of of efficiency improvement are provided for the ten scenarios considered

  • In the second sub-section, efficiency improvement are provided for the ten scenarios considered

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Summary

Introduction

Electric power transmission network’s topology is being rethought and reformulated nowadays. Control algorithms for microgrids, following [2], can be divided into three categories from the communication perspective: Decentralized control: Digital Communication Links (DCL) do not exist and power lines are used as the only channel of communication It is generally based on the interpretation of the voltage in the common DC bus. The control of each converter locally determines the power that it must perform according to a linear control law based on the bus voltage. Droop control changes the power reference of the sources’ converters as the bus voltage varies due to variations in load or generation. Starting from a stable operation point, if load increases, bus voltage tends to decrease This makes the decentralized control system increase the power supplied by each source according to its particular linear control law.

Description of the MG Studied
Analysis of the Energy Efficiency Curves of the DC-DC Converters
Thegeneral
Bus Voltage Optimization
Switching Frequency Optimization
Results
Efficiency Increase
37.7 Energy
Dynamic Response
Influence of Control Parameters in Optimization Performance
Conclusions
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