Economic Load Dispatch in Power Plants, Taking into Account Environmental Pollutants and System Security Indices Using Multi-Objective Harmony Search Algorithm

Public sensitivity to environmental issues in the economic dispatch is also impressive. In this case it is necessary to consider the costs of pollution in the economic dispatch. Before the introduction of the concept of power system security, the subject of economic load dispatch normally focused on economic aspects rather than security of the system. Today, with the expansion of the power grid and system load, combination of stability and economic load dispatch indices has become a critical necessity. This article will consider the issue of solving the economic dispatch of power plants considering the emissions and security indices of the network. Using penalty functions, system security indices are added to the objective function of economic load dispatch problem. Since fuel costs and emission reduction targets are relatively contrasting, problem solving of economic load dispatch and emission reduction leads to a multi-objective optimization problem. Given the complexity of objective functions and necessity of the considering the practical constrains of power plants operation and security indices reveal more than ever the need to use efficient methods to optimize. In this article Multi Objective Harmony Search algorithm (MOHS) has been used to solve the problem. The results show that MOHS algorithm is excellent for convergence and accuracy compared to other employed methods. The proposed testing system used to solve the problem is IEEE test system with 10 power generation units, 39 bus and 46 transmission line.