Energy Management with Capacitor Placement for Economics Low Carbon Emissions Using Modified Multi-objective Grey Wolf Optimizer

Energy efficiency, which consists of using less energy or improve service level to energy consumers. But its increasing pressure on the energy sector to control greenhouse gases forced the engineers to consider the emission problem as a consequential matter besides the economic problems. This paper presents a modified Multi-Objective Optimization algorithm inspired by hunting behavior of Grey Wolves (MOGWO). The meta-heuristic GWO algorithm in this paper extended to deal with multi-objective optimization problems. The proposed MOGWO is used to generate Pareto-optimal solutions for simultaneous reduce the gases emission level of harmful pollutants CO2. Moreover, fuzzy decision making process is employed to rank and extract the global Pareto-optimal solutions as the best compromise nondominated solution. The effectiveness of the proposed methodology on IEEE 30-bus standard system have been evaluated. The generation and security constraints are incorporate in fitness function as penalty factors to achieve a valid and accurate solution, that all OPF variables remain within their permissible limits. The comparative study with other techniques demonstrates the superiority of the proposed approach and confirms its potential to solve the multiobjective EED problem. In addition, the extension of the proposed approach to include more objectives is a straightforward process.