Microcontroller Based Maximum Load Managment Controlling and Monitoring using Valley Filling Technique

Load Management System Implementation using one of the famous technique known as valley filling  Solar energy Source is used to fulfill the demanded Power Solar produces energy and its Max power is calculated  Connected load power is also calculated  The loads which ar

Project Title

Microcontroller Based Maximum Load Managment Controlling and Monitoring using Valley Filling Technique

Project Area of Specialization

Electrical/Electronic Engineering

Project Summary

Load Management System Implementation using one of the famous technique known as valley filling 
Solar energy Source is used to fulfill the demanded Power
Solar produces energy and its Max power is calculated 
Connected load power is also calculated 
The loads which are below the max power of solar are shifted on solar
The loads having power more than the max power of solar is connected to the utility

Project Objectives

 Efficient management of Domestic Load that will reduce the burden to national grid.
Design an intelligent system to utilize efficiently the availability of renewable energy resources (in our case Solar Energy).
Design, investigate and improve the system efficiency and reliability by minimizing the billing cost of a loads utilized using Valley Filling Technique

Project Implementation Method

 Load Management System Implementation using one of the famous technique known as valley filling

Benefits of the Project

 Load management allows utilities to reduce demand for electricity during peak usage times (peak shaving), which can, in turn, reduce costs by eliminating the need for peaking power plants.

Technical Details of Final Deliverable

A prioritized rule based load management technique that provide for optimum energy gleaning and management in a standalone PV-battery SAPVB system has been studied. A mid-class off-grid residential building was considered for the study. To appreciate the applicability of the proposed load management scheme, four scenarios were developed, tested and discussed. Results obtained show that when the load management technique is not utilized as in the case of scenario 1 (Base case), the percentage satisfaction of the critical and uncritical loads by the PV system are 49.8% and 23.7%. However with the implementation of the load management scheme in scenarios 2, 3 and 4, the load satisfaction for the critical and uncritical loads respectively are (93.8%, 74.2%), (90.9%, 70.1%) and (87.2%, 65.4%) for scenarios 2,3and 4, respectively. This revealed that loads can be effectively managed to maximize available power supply from a SAPVB system using the proposed load management technique. Any of the three presented scenarios (2–4) can be adopted and integrated into the design processes of standalone PV systems

Final Deliverable of the Project

Hardware System

Core Industry

Energy

Other Industries

Core Technology

Clean Tech

Other Technologies

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

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