Forecasts of available wind power are critical in key electric power systems operations planning problems, including economic dispatch and unit commitment. Such forecasts are necessarily uncertain, limiting the reliability and costeffectiveness of operations planning models based on a single deterministic or “point” forecast. A common approach to address this limitation involves the use of a nu...

The paper investigates the performance of proposed search technique for different kinds of economic dispatch problems by searching generation pattern of committed units in polar coordinate system being projection of phasor on real axis with respect to its displacement. A slack generator is introduced to meet the demand constraint while generation pattern is searched within operating limits of g...

The main objective of this paper is to construct a distributed environment through which the economic load dispatch solutions of multi-area power systems can be monitored and controlled. A single-server/multi-client architecture which enables the neighboring power systems to access the remote economic load dispatch server (ELD) at any time with their respective data and to get the economic load...

A power system operation at minimum cost is no longer the only criterion for electrical power dispatch. Combined economic emission dispatch problem is obtained by considering both the economy and emission objectives with required constraints. This problem can be solving optimization techniques. Many optimization techniques are slow for such complex optimization tasks and are not suitable for on...

In this paper, Hopfield Neural Network (HNN) and Lagrange Multiplier (LM) solutions to economic dispatch (ED), NOx emission dispatch (EmD), and economic-emission dispatch (EED) of a sample system consisting of six thermal generators are presented. Transmission losses are included. The results of HNN are compared with the results of LM.

Economic load dispatch (ELD) and economic emission dispatch (CEED) have been applied to obtain optimal fuel cost and optimal emission of generating units, respectively. Combined economic emission dispatch (CEED) problem is obtained by considering both the economy and emission objectives. This biobjective CEED problem is converted into a single objective function using a price penalty factor app...

This paper presents a demonstration of solving combined economic and emission dispatch problems by using one of swarm intelligences, called particle swarm optimization. The objective of the combined problem can be expressed by taking both the total production cost and total emission into account with required constraints. Among potential intelligent search methods, particle swarm optimization i...

Economic load dispatch is one of the main functions of electrical power management systems. The main objective of economic load dispatch is to minimize the fuel cost while satisfying the required equality and inequality constraints. Economic Load Dispatch is a well known problem and has been a major concern for researchers and industrialists all around the world. The problem consists of divisio...

Economic Load Dispatch problem (ELD) is one of the most important optimization problems in power system operation and planning. This paper introduces a solution to ELD problem using a new metaheuristic natureinspired algorithm called Cuckoo Search Algorithm (CSA). The proposed approach has been applied to various systems. This algorithm is based on the obligate brood parasitic behavior of some ...

This paper proposes per unit coding for combined economic emission load dispatch problem. In the proposed coding, it is possible to apply the percent effects of elements in any number and with high accuracy in objective function. In the proposed per unit coding, each function is transformed into per unit form based on its own maximum value and has a value from 0 to 1. In this paper, particle sw...