Depleting oil reserves and the growing concerns of global warming, have made it compulsory to seek alternative in form of environment friendly technologies like renewable energy sources. The advantage of hybrid power systems is the combination of the continuously available diesel power and locally available, pollution-free wind energy. With the Wind-Diesel hybrid power system, the annual diesel...

An efficient Particle Swarm Optimization (PSO) technique, employed to solve Economic Dispatch (ED) problems in power system is presented in this paper. With practical consideration, ED will have nonsmooth cost functions with equality and inequality constraints that makes the problem, a large-scale highly constrained nonlinear optimization problem.The proposed method expands the original PSO to ...

Recent advancements in artificial intelligence especially in evolutionary algorithms have enabled much efficient way to solve the constrained optimization problems in various fields of engineering. In this paper we explain the development of the optimization techniques from single criterion to multi criterion. We also address the Combined Economic and Emissions Dispatch (CEED) problem in therma...

In recent years increasing of thermal power plants air pollution and concentration of carbon dioxide emission leads to the global warming. This paper solves the economic dispatch problem includes the dispatch of systems to the minimize carbon dioxide emissions, as well as to achieve the minimum fuel cost. This paper proposed a lambda based approach for solving the Combined Economic and Emission...

This paper presents an attempt to explore the applicability of harmony search algorithm (HSA) to solve extremely challenging non-convex economic load dispatch (ELD) problem with transmission losses involving variations of consumer load patterns. The efficiency of the proposed approach HSA has been tested successfully on the standard 6-bus system, IEEE-14 bus system, and the IEEE-30 bus system w...

Power system operation involves some kind of optimization for ensuring economy, security and stability. Economic load dispatch is one such optimization problems and it is applied for minimizing the total fuel cost. Optimizing the fuel cost is done by properly setting the real power generation from the generators in a power system. Differential evolution is a simple and efficient evolutionary al...

Volume 2, Issue 4, April 2013 Page 476 Abstract Economic load dispatch is a non linear optimization problem which is of great importance in power systems. While analytical methods suffer from slow convergence and curse of dimensionality particle swarm optimization can be an efficient alternative to solve large scale non linear optimization problems. This paper presents an overview of basic PSO ...

Economic Load Dispatch (ELD) is an important optimization task in power system operation for allocating generation among the committed units such that the constraints imposed are satisfied and the operating cost is minimized. This paper presents an application of Particle swarm optimization (PSO) technique to solve non-liner, non-convex ELD problem for the determination of the global or near gl...

This paper presents the application of Genetic algorithm (GA) to solve the economic load dispatch problem of the power system. The effectiveness of the proposed algorithm has been demonstrated on two different test systems considering the transmission losses. Test system-1 includes a three generator system and test system-2 includes an IEEE 30-bus system. The results of test system-1 are compar...

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...