Linear Programming Approach to the Residential Load Energy Management System

Abstract

This paper proposes an effective method to the Residential Load Energy Management System (EMS) of a given consumer (e.g. house) with respect to hourly electricity prices. This paper considers a collection of compound charge reactive loads in a township. The loads can be provided through the main grid and arbitrary Distributed Energy Resources (DERs), such as the wind and photovoltaic power sources. The suggested EMS has the competence that each consumer can engage their own plan to govern the present load and prices in the electrical distribution system. To resolve this EMS problem an effective algorithm based on Linear Programming (LP) approach has been implemented. The main target of the suggested method is to maximize the utilization of the group of loads when it is subjected to a set of constraints. This Linear Programming approach algorithm permits the collection of loads to purchase, store and sell energy at suitable times to regulate the hourly load level. To assess the performance of the suggested algorithm an IEEE 14 bus system was considered. The results exhibit that the collection of loads of energy management system using the suggested approach increasing the efficiency and minimizing the losses than the previous methods. Keywords: Energy Management System, Distributed Energy Resources (DER's), Linear Programming (LP), Price responsive demands and optimization algorithm. I.INTRODUCTION In recent years, renewable energy and distributed generation systems (DGSs) have attracted increasing attention and have been extensively researched and developed. They gradually alter the concepts and operations of conventional power generation systems. The rise in several countries makes it possible that this kind of DGS can be practically applied to a grid-tied system or an isolated system with wind power, solar energy, hydropower, etc. [1]. The operation of Energy Management System (EMS) is important for the collection of loads with their power supply. Based on the power demand range of a utility and power cost data, the EMS effectively determines the hourly energy consumption for each demand and concludes the total power consumption of the energy resources. It has considered three power generation sources, namely, the central grid, photovoltaic and a wind generation system. The collection of demands owns an energy storage capacity to store energy and to use it at suitable times as soon as desired. The load and the Distributed Energy Resources (DERs) functions as a virtual power plant that purchases and stores energy in hours of low electricity charges, and vends energy in hours of high charges [2].Nowadays Distributed generation (DG) has profited immensely because of the influence of environment and economic concerns. An energy management challenge with a less volume electric energy system using Smart Grid (SG) technology was considered in [3]. The model of SG considers an energy system with the intention to merge the measures of all consumers in such a way that all the generators and consumers must perf...

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