Power Loss Analysis of Energy Management System with Model Predictive Control in Mae Hong Son Microgrid

Energy management system (EMS) is an important tool for energy efficiency and reliability of the power system. The optimal power dispatch of energy resources can be obtained using the nonlinear model predictive control (NMPC). It is formulated as an optimization problem subject to linear and nonline...

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Bibliographic Details
Published in2024 IEEE Third International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES) pp. 1123 - 1127
Main Authors Prapanwattana, Nattakit, Dechawatanapaisal, Donlapat, Banjerdpongchai, David, Rajan, Abhishek
Format Conference Proceeding
LanguageEnglish
Published IEEE 26.04.2024
Subjects
energy management system
Energy management systems
Load flow
Microgrids
model predictive control
optimal power flow
Power generation
power loss analysis
Power system reliability
Power transmission lines
Predictive control
Propagation losses
Reliability
Resistance
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Summary:Energy management system (EMS) is an important tool for energy efficiency and reliability of the power system. The optimal power dispatch of energy resources can be obtained using the nonlinear model predictive control (NMPC). It is formulated as an optimization problem subject to linear and nonlinear constraints. Although the existing system works well under the current conditions, power loss has not been considered. Power loss in transmission lines occurs due to their resistance and a high amount of power flow to loads connecting to the system. The power loss leads to decreased efficiency in the electrical system and reduces the lifespan of equipment because of the high temperature from loss. This paper aims to analyze the power loss in the Mae Hong Son (MHS) microgrid. To achieve the research objectives, we employ the EMS of MHS with NMPC and calculate power loss in transmission lines for a period of 7 days. EMS considers three objective functions, namely, total operating cost, total carbon dioxide emission, and combined economic and emission dispatch and take into account of three seasons consisting of rainy, winter, and summer.
DOI:10.1109/ICPEICES62430.2024.10719232