In this research a multi-objective Imperialist Competitive Algorithm (MOICA) is applied for Environmental and Economic Power Dispatch (EED) problem. Due to the environmental concerns that arise from the emissions produced via fossil-fueled electric power plants, the classical economic dispatch, which operates electric power systems so as to minimize only the total fuel cost, can no longer be co...

This paper presents a multi-objective teaching learning algorithm based on decomposition for solving the optimal reactive power dispatch problem (ORPD). The effectiveness and performance of the proposed algorithm are compared with respect to a multi-objective evolutionary algorithm based on decomposition (MOEA/D) and the NSGA-II. A benchmark power system model is used to test the algorithms’ pe...

The optimal reactive power dispatch (ORPD) problem is formulated as a combinatorial optimization problem involving nonlinear objective function with multiple local minima. In this paper, as a new approach, different ant colony optimization (ACO) algorithms are applied to the reactive power dispatch problem. Ant system (AS), the firstly introduced ant colony optimization algorithm, and its direc...

Particle swarm optimization (PSO) has received increasing attention in solving multi-objective economic dispatch (ED) problems in power systems because of parallel computation, faster convergence, and easier implementation. This paper presents a detailed overview of multi-objective particle swarm optimization (MOPSO) and provides a comprehensive survey on its applications in power system econom...

Reactive power dispatch (RPD) is one of the important tasks in the operation and control of power system. This paper presents a Differential Evolution (DE) based approach for solving optimal reactive power dispatch including voltage stability limit in power systems. The monitoring methodology for voltage stability is based on the L-index of load buses. The objective is to minimize the real powe...

The optimal reactive power dispatch (ORPD) problem represents a fundamental concern in the efficient and reliable operation of systems, based on proper coordination numerous devices. Therefore, ORPD calculation is an elaborate nonlinear optimization that requires highly performing computational algorithms to identify solution. In this paper, potential metaheuristic methods explored for solving ...

voltage stability issues are growing challenges in many modern power systems. this paper proposes optimizing the size and location of static var compensator (svc) devices using a fuzzy weighted seeker optimization algorithm (fwsoa), as an effective solution to overcome such issues. although the primary purpose of svc is bus voltage regulation, it can also be useful for voltage stability enhance...

For Multi-Objective Optimal Reactive Power Dispatch (MORPD), a new approach is proposed as a simultaneous minimization of the active power transmission loss, the bus voltage deviation and the voltage stability index of a power system are obtained. Optimal settings of continuous and discrete control variables (e.g., generator voltages, tap positions of tap changing transformers and the number of...

reliability investigation has always been one of the most important issues in power systems planning. the outages rate in power system reflects the fact that more attentions should be paid on reliability indices to supply consumers with uninterrupted power. using reliability indices in economic dispatch problem may lead to the system load demand with high reliability and low probability of powe...