A Novel Battery Supported Energy Management System for the Effective Handling of Feeble Power in Hybrid Microgrid Environment

Sivasankar Gangatharan,Rajvikram Madurai Elavarasan,Narottam Das,Varatharajan Meenakshi Sundaram,Eklas Hossain,Mageswaran Rengasamy

doi:10.1109/access.2020.3039403

Sivasankar Gangatharan, Rajvikram Madurai Elavarasan + Show 4 more

Open Access

https://doi.org/10.1109/access.2020.3039403

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Journal: IEEE Access	Publication Date: Jan 1, 2020
Citations: 38	License type: CC BY 4.0

Abstract

One of the crucial challenges in the present power distribution system is the conversion loss phenomenon. Modern microgrid integrates various converters for varieties of applications, such as distributed power generation interconnection, energy storage management system, grid integration, demand management, etc. The increased usages of power converters further worsen the existing situation. Any initiatives taken towards energy conservation go in vain due to the excessive conversion loss phenomenon in the present distribution schemes. In this regard, a novel microgrid energy management scheme is proposed and developed to reduce the conversion losses in the residential distribution system. It uses a new control algorithm that finds the strength of power available in the DC side before being transferred. The conversion process is invoked only if the power is adequate, and if found feeble, then the conversion process is withdrawn and stored in an auxiliary battery. Conversion of feeble power would result in high loss across the converters and transformers. In this scheme, the AC loads are supplied by the utility grid, and the DC loads are fed by a solar PV and an auxiliary battery bank. The power conversion is done only during unavoidable circumstances. A prototype hardware setup has been developed, and the objective of the proposed research task has been validated. Further, the proposed scheme would gain importance in reducing the cost of the electricity for a time-of-use tariff system by optimization. A genetic algorithm is proposed to optimize the energy management of the microgrid system.

Highlights

One of the important challenges in the present power distribution system is the conversion loss phenomenon
Literature Tariff Cost reduction Peak Demand Intermittency Support Stand-Alone Mode support Voltag e Regulation Routine utilization Feeble Energy conservation in the charge processes drastically reduce, the performance of the Battery Energy Storage System (BESS) is significantly improved in a microgrid topology
To address this phenomenon a control strategy has been developed where the feeble power is stored in an auxiliary battery.This strategy exhibits dual advantage, one is that, the feeblepower is conserved and the other is that the battery is charged in a DC environment

Summary

INTRODUCTION

One of the important challenges in the present power distribution system is the conversion loss phenomenon. The conversion will process when the power availability is less than 20% of the rated value and it will exhibit poor performance [18] The best solution for the aforementioned scenario is to effectively manage BESS to handle the feeble power of the renewable-based microgrid system and to maximize energy efficiency. Further incorporating the best practices for improving battery life is essential for emphasizing sustainability and reliability [32, 33] In this regard, the proposed research study is to design a novel battery-based energy management system to efficiently manage the solar PV hybrid microgrid for the residential distribution system. Conversion loss reduction strategy has been illustrated in III.FACTORS LIMITING THE PERFORMANCE OF MICROGRID AND BESS

Section VI. Results and discussions are furnished in Section

VII.Results and Discussions

REALIZATION

VIII. COST OPTIMIZATION BASED MICROGRID ENERGY MANAGEMENT USING GENETIC ALGORITHM

Objective

Off- peak

IX.CONCLUSIONS