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This paper presents an Enhanced Self-adaptive Differential Evolution with Mixed Crossover (ESDE-MC) algorithm to solve the multiobjective optimal power flow problems with conflicting objectives that reflect the minimization of total production cost, emission pollution, L-index, and active power loss. In this algorithm, a combination of eigenvector and binomial crossovers has been used to move the...
This paper presents a study based on versatile bio-inspired metaheuristic stud krill herd (SKH) algorithm to tackle the optimal power flow (OPF) problems in a power system network. SKH consists of stud selection and crossover operator that is incorporated into the original krill herd algorithm to improve the quality of the solution and especially to avoid being trapped in local optima. In order to...
This paper presents the solution of automatic generation control (AGC) problem of four-area interconnected power system including DFIG (doubly fed induction generator) wind turbine using gravitational search algorithm (GSA). The GSA is used to tune the gains of the speed as well as pitch angle controller of the DFIG wind turbine along with the proportional integrated derivative (PID) controlled interconnected...
In the present article, a new heuristic algorithm colliding bodies optimization (CBO) is applied to solve optimal power flow (OPF) problem in an electrical power system. CBO is simple in structure and does not have any control parameters. Recently, the CBO is applied on different mathematical and structural problems owing to its appreciable efficacy other than the several existing algorithms. The...
This paper presents a novel meta-heuristic algorithm called colliding bodies optimization (CBO) method to solve the optimal power flow (OPF) problems with non-smooth cost functions. It is based on the one-dimensional collision between two agents. Each agent in the search space is considered as an object or body and measured their performances with masses and velocities and the collision leads to move...
This paper presents the solution of automatic generation control (AGC) problem using the proportional integral derivative (PID) controller optimized with the most recent meta-heuristic gravitational search algorithm (GSA) and its variant disrupted gravitational search algorithm (DGSA). A two-area hydrothermal system is considered for the performance analysis and comparison purpose. GSA and DGSA are...
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