Techno-economical optimization of hybrid pv/wind/battery system using Neuro-Fuzzy

• Main Authors: Rajkumar R.K., Ramachandaramurthy V.K., Yong B.L., Chia D.B.
• Other Authors: 35093088900
• Format: Article
• Published: Elsevier Ltd 2023
• Subjects: Adaptive Neuro-Fuzzy Inference System; Loss of power supply probability; Photovoltaic; Algorithms; Costs; Electric power systems; Fuzzy inference; Fuzzy systems; Hybrid systems; Loss of load probability; Adaptive neuro-fuzzy inference system; Excess energy; High costs; Hybrid optimization; Neuro-Fuzzy; Optimization methodology; Optimized system; PSCAD/EMTDC; Renewable energy systems; Renewable sources; Renewables; accuracy assessment; cost-benefit analysis; energy efficiency; genetic algorithm; numerical model; optimization; renewable resource; Optimization
• Institution: Universiti Tenaga Nasional

High cost of renewable energy systems has led to its slow adoption in many countries. Hence, it is vital to select an appropriate size of the system in order to reduce the cost and excess energy produced as well as to maximize the available resources. The sizing of hybrid system must satisfy the LPS...