Economic Dispatch in Power Systems Using Search and Rescue Optimization Algorithm

Economic Dispatch for power systems with the aim of optimizing the total production cost for active units in the power network is one of the most important topics for today's modern systems. In other words, the purpose of the economic Dispatch problem is optimal and appropriate planning for production units, taking into account the nonlinear factors and limitations in the power network and production units. And it plays a very important role in the economic exploitation of power systems Solving the problem of economic Dispatch optimization is very complex due to the huge dimensions of the nonlinear objective function, various restrictions and limitations. However, the use of optimization algorithms and artificial intelligence has been used to solve this problem. In this research, based on the use of a new algorithm called search and rescue, which is modeled based on the individual and group behavior of humans in searching for an individual or a group that has had an accident or is lost. This algorithm has great power in solving problems with high constraints, which can ignore local optima to confirm the proposed method in minimizing the cost and pollution of simulation in the software environment (MATLAB) on test networks (3, 6, 10) units done and the simulation results obtained from the proposed algorithm show that the accuracy and speed of finding the answers have been improved with this method.