Abstract

This study proposes an Energy Management System (EMS) for allocation of DG source in a grid connected hybrid power system. Modeling and simulation for EMS is implemented using MATLAB/SIMULINK package. The objective of proposed EMS for micro grid is to optimize the fuel cost, improving the energy utilization efficiency and to manage the peak load demand by scheduling the generation according to the availability of the fuel. The proposed intelligent energy management system is designed to optimize the availability of energy to the load according to the level of priority and to manage the power flow. The developed management system performance was assessed using a hybrid system having PV panels, Wind Turbine (WT), battery and biomass gasifier. Real time field test has been conducted and the parameters i.e., solar irradiance, temperature, wind speed are gathered from 4.05 KW off grid and 2.0 KW On grid Solar Photovoltaic systems (SPV) system and wind turbine. The dynamic behavior of the proposed model is examined under different operating conditions. The simulation results of proposed EMS using fuzzy logic expert system shows the minimization on the operating cost and emission level of micro grid by optimal scheduling of power generation and maintains the State of Charge (SOC) of batteries in desired value which improves the battery life. The proposed multi objective intelligent energy management system aims to minimize the operational cost and the environmental impact of a micro grid.

Highlights

  • Micro Grid (MG) is a discrete energy system consisting of Distributed Energy Sources (DER) and loads capable of operating in parallel with, or independently from, the main power grid

  • This study proposes an Energy management system shown in (Fig. 4) which includes power generators, energy storage equipments, bidirectional inverter and load management system (Ahmed et al, current lost to recombination and Ish represents the current lost due to shunt resistance, ID is modeled using the shockey equation for an ideal diode (Li et al, 2009): 2008) The overall aim is to optimize the power flow from source to load by scheduling the generation according to the availability of fuel

  • The model has been implemented using the MATLAB/SIMULINK software package; a system consists of PV/wind/Biomass gasifier and battery setup

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Summary

Introduction

Micro Grid (MG) is a discrete energy system consisting of Distributed Energy Sources (DER) and loads capable of operating in parallel with, or independently from, the main power grid. Micro grids are becoming important constituents of electric power distribution networks. The key characteristics of MG include Grid optimization, sustainability, system reliability and operational efficiency. The idea of MG is to make the existing grid infrastructure as efficient and robust as possible, through the use of intelligence and automation. Schematic diagram of micro grid is shown in (Fig. 1) and a proposed EMS) is shown in (Fig. 2). The objective of proposed EMS is to:

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