DEMAND SIDE LOAD LEVELING USING DISTRIBUTED MICRO ENERGY AND STORAGE SYSTEMS WITH THE ESTABLISHMENT OF MICRO GRIDS Naveen G Software Engineer IBM-ISL Bangalore India Email: uvcenaveen@gmail.com Pramod Kumar B Instrumentation Engineer Reliance Industries Limited Nagothane India Email: pramod.kumarb@yahoo.com Dr.M L Sudheer Member, IEEE Prof in University Visvesvaraya College of Engineering Bangalore, India Email: dr.mlsudheer@gmail.com Abstract—This paper presents a bottom up approach for the peak load leveling of the Residential Distribution Feeder, by establishing local Microgrids .Which utilizes the sources within the Microgrid to reduce the dependence of the Distribution feeder on the maingrid during peak hours. The Microgrid presented here is mainly configured to use locally distributed Microenergy and Storage systems like Rooftop Solar Photo voltaics , Home-UPS systems(with an additional circuitry), Domestic wind turbines, Micro Renewable Energy sources as a source subsystem. The Micro grid exploits the potential of these resources by combining and controlling them appropriately using communication,Information Technology, Intelligent Algorithms and Advanced Metering Infrastructure. Each of the micro energy sources will be connected through inverters connected in parallel to the Microgrid forming a Parallel Inverter Source Subsystem(PISS). The Droop current sharing technique has been adopted for this PISS. A Threshold value of load is selected, above normal load usage based on the desired leveling. Each Microgrid will be governed by a decisive node known as Gravity node. This Node will switch the loads based on the Threshold value between the PISS and main grid using the Load Optimization Algorithm. This is Implemented and Simulated using MATLAB with a mock data of Load Samples. The Algorithm makes use of the input parameters like load usage history and load frequency for switching. By extending this concept of the Microgrids to other feeders the load demand on the main grid can be made more uniform. A resulting utility architecture composed of such supportive Microgrids is presented here. Index Terms—Smart Grid, Utility grid, Microgrid, SMG, AMI, Peak Load Leveling, Droop, PISS. I. I NTRODUCTION Electrical power grid is among the critical infrastructures of a nation. In the past several years the power grids have experienced several major failures which have caused large financial losses in various countries around the globe. In a close future, the imbalance between the growing demand and the diminishing fossil fuels, aging equipments and lack of communications are anticipated to negatively impact the Fig. 1. Utility Grid architecture with supporting SMGs operation of power grids [1]. For this reason, governments and utilities have recently started working on renovating the power grid to meet the power quality and power availability demands of the 21st century [2]. The new grid empowered by the Information and Communication technologies is being referred as Smart Grid. The purpose of Smart grid is to address the various issues of the Conventional grid and provide an adaptive and robust architecture to incorporate Renewable energy in an effective way. One of the major challenges that is responsible for the IEEE ISGT Asia 2013 1569809849 1