Power Energy Management for Grid-Connected Hybrid Renewable Energy System in Yemen Using Fuzzy Logic

Abstract

Active development of green energy and the continuous major problems in Yemen power sector lead to serious issues related to the load demand and civilization of the country. This issue requires particular strategies to be incorporated to maintain necessities of electrical power among green energy resources and utility grid. This paper presents an algorithm for power management in grid-connected hybrid renewable energy system under a set of constraints, including the special country situations, weather conditions, and utility grid situations. To manage the flow of power between the different loads (first, second, and third load) and the multi-agents; (utility grid and green energy resources) fuzzy smart controller is used. Proposed techniques fuzzify all the inputs and perform fuzzification of the rules from fuzzy outputs before defuzzification stage. The proposed smart control strategy is able to sense the parameter’s fluctuations in hybrid renewable energy generation, grid situations, load demand, and the state of charge (battery status). The suggested smart fuzzy algorithm based distribution of loads can operate well with fuzzy inputs according to the load priority. Therefore, it does not require any mathematical model and can deal with nonlinearity by combining the human heuristics into computer-assisted decisions.