Multi-objective Optimization of Reactive Power Dispatch in Power Systems via SPMGSO Algorithm

Multi-objective Optimization of Reactive Power Dispatch in Power Systems via SPMGSO Algorithm

Nowadays, developments in computer science has made parallel processing feasible. One of the main control problems in power systems is the control of optimal reactive power dispatch. In this problem, we try to optimize specific objective functions using a series of control variables, while a set of constraints are met. This paper deals with multi-objective and simultaneous optimization of reactive power dispatch in power systems through parallel processing. Three objective functions are intended: reduction of active power losses, reduction of voltage deviation, and increasing voltage stability. To solve the optimization problem, Strength Pareto Multi-group Search Optimizer (SPMGSO) algorithm will be used. This algorithm employs parallel processing, and as a result, it saves the required time to solve the problem. This optimization technique also yields a set of non-dominated optimal solutions. The operator of the power system is able to utilize a multi-criteria decision technique based on M matrices to determine the best solution, and to apply the relevant control variables on the power system. A comparison of the simulation results on IEEE 30-bus system with results of NSGAII algorithm attests that SPMGSO algorithm is satisfactory

Nowadays, developments in computer science has made parallel processing feasible. One of the main control problems in power systems is the control of optimal reactive power dispatch. In this problem, we try to optimize specific objective functions using a series of control variables, while a set of constraints are met. This paper deals with multi-objective and simultaneous optimization of reactive power dispatch in power systems through parallel processing. Three objective functions are intended: reduction of active power losses, reduction of voltage deviation, and increasing voltage stability. To solve the optimization problem, Strength Pareto Multi-group Search Optimizer (SPMGSO) algorithm will be used. This algorithm employs parallel processing, and as a result, it saves the required time to solve the problem. This optimization technique also yields a set of non-dominated optimal solutions. The operator of the power system is able to utilize a multi-criteria decision technique based on M matrices to determine the best solution, and to apply the relevant control variables on the power system. A comparison of the simulation results on IEEE 30-bus system with results of NSGAII algorithm attests that SPMGSO algorithm is satisfactory