Appl. Sci. 2017, 7(7), 733; doi:10.3390/app7070733
Development of a Modelling and Simulation Method for Residential Electricity Consumption Analysis in a Community Microgrid System
1
Department of Electrical Engineering, National Chung Cheng University, Chiayi 62102, Taiwan
2
Nuclear Instrumentation Division, Institute of Nuclear Energy Research, Taoyuan 32546, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editors: Shoou-Jinn Chang, Teen-Hang Meen and Stephen D. Prior
Received: 22 June 2017 / Revised: 7 July 2017 / Accepted: 11 July 2017 / Published: 17 July 2017
(This article belongs to the Special Issue Selected Papers from IEEE ICASI 2017)
Abstract
There is an increasing number of microgrid applications for power system networks at different voltage levels. Community microgrid systems are also being encouraged in order to increase energy efficiency, reduce electricity bills, and alleviate the reliability problem with respect to power delivery for local residential users. Understanding electricity information can help in effective management and control of various energy sources operated in community microgrid systems. This paper thus aims to develop a simulation-based electricity analysis scheme for a real community microgrid configuration using a proposed modelling methodology, simulation mechanisms, and a power balancing control strategy under the MATLAB environment. Simulation results considering different weather conditions report the observed performance of electricity analysis. In addition, calculations of electricity bills depending on two electricity rates are discussed, representing the benefits of electricity bill reduction when electricity users accepted the power supply from community microgrid systems. View Full-TextKeywords:
microgrid; community microgrid; electricity analysis; MATLAB/Simulink
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Liu, Y.-J.; Chen, S.-I.; Chang, Y.-R.; Lee, Y.-D. Development of a Modelling and Simulation Method for Residential Electricity Consumption Analysis in a Community Microgrid System. Appl. Sci. 2017, 7, 733.
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