Power Energy Management for a Grid-Connected PV System Using Rule-Base Fuzzy Logic

Abstract

Active collaboration among green-energy and the load demand lead to serious issue related to power quality and stability. This requires newer strategies to be incorporated to keep the power stability among green energy resources and micro-grid/Utility Grid. This paper presents a novel technique for power management in Grid-connected photovoltaic system with an energy storage system under a set of constraints, including weather conditions, load-shedding hours, peak pricing hours, by using rule-base fuzzy smart controller to schedule power coming from multiple sources (Photovoltaic, Grid, Battery) under the above set of constraints. The technique fuzzify all the inputs and establishes fuzzify rule set from fuzzy outputs before deffuzification process. Simulations are run for 24 hour period and rule base power scheduler is developed. The Proposed fuzzy control strategy is able to sense the continuous fluctuations in photovoltaic power generation, Load Demands, Grid (load Shedding patterns), and Battery State of Charge in order to make correct and quick decisions. The Suggested Fuzzy Rule based scheduler can operate well with vague inputs, thus doesn't not require any exact numerical model and can handle nonlinearity by combining the human heuristics into computer assisted decisions. This technique also provides a framework for extension to handle multiple special cases for an optimized working of the system.