Intelligent Energy Management System for PV-Battery-based Microgrids in Future DC Homes

Author:

Chauhan R. K.,Rajpurohit B. S.,Gonzalez-Longatt F. M.,Singh S. N.

Abstract

Abstract This paper presents a novel intelligent energy management system (IEMS) for a DC microgrid connected to the public utility (PU), photovoltaic (PV) and multi-battery bank (BB). The control objectives of the proposed IEMS system are: (i) to ensure the load sharing (according to the source capacity) among sources, (ii) to reduce the power loss (high efficient) in the system, and (iii) to enhance the system reliability and power quality. The proposed IEMS is novel because it follows the ideal characteristics of the battery (with some assumptions) for the power sharing and the selection of the closest source to minimize the power losses. The IEMS allows continuous and accurate monitoring with intelligent control of distribution system operations such as battery bank energy storage (BBES) system, PV system and customer utilization of electric power. The proposed IEMS gives the better operational performance for operating conditions in terms of load sharing, loss minimization, and reliability enhancement of the DC microgrid.

Publisher

Walter de Gruyter GmbH

Subject

Energy Engineering and Power Technology

Reference82 articles.

1. Selection and stability issues associated with a navy shipboard DC zonal electric distribution system;IEEE Trans Power Del,2000

2. Predictive control of an integrated PV-diesel water and power supply system using an artificial neural network;Renewable Energy,2007

3. Intelligent management system In th on;Cirrincione;energy Proc IEEE Int Ind,2009

4. Distributed control to ensure proportional load sharing and improve voltage regulation in low-voltage DC microgrids;IEEE Trans Power Electron,2013

5. vs distribution loss comparison In Exposition;Tolbert;Starke Proc Trans,2008

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