Int J Performability Eng ›› 2022, Vol. 18 ›› Issue (7): 502-511.

### Microgrid Fuel Cost Optimization Considering Economic Emission using Whale Cat Hybrid Technique

Eshan Misra* and Vibhuti

1. Department of Electrical Engineering, SSCET, Badhani, 145001, India
• Submitted on  ;  Revised on  ; Accepted on
• Contact: * E-mail address: eshanmishra59@gmail.com

Abstract: Several nations have systematically developed a number of programmes to reduce the amount of pollution emitted by fossil fuels during power generation. The main focus of economic emission dispatch (EED) strategy is to find the most suitable solution by balancing the cost and emissions for a microgrid(MG) network which satisfy the operational needs of the generators. The electricity network in rural areas needs a significant investment in terms of infrastructure. As a result, the economic benefits of deploying a microgrid powered by renewable energy sources(RES) are remarkable. In order to come up with the most efficient EED, a combination of the cost and emission functions is integrated. A PV-thermal-wind-based framework has been employed to address the real-time combined EED problem effectively in a microgrid network. This study introduces a multi-objective load dispatch problem(LDP) using hybrid Nature-inspired algorithms. The proposed hybrid Whale Cat Optimization (WCO) outperforms other four optimization approaches, such as PSO, GWO, and WOA, in a series of experiments by considering two fitness functions (Microgrid cost and emission).