In the practical power system, power plants are not at the same distance from the centre of load and their fuel costs are also different. Generally the power generation capacity is more than the total load demand and losses under normal operating conditions. Thus there is a need to find an effective real and reactive power scheduling to power plants to meet load demand as well as to minimize th...

Abstract—Economic Dispatch (ED) is one of the most challenging problems of power system since it is difficult to determine the optimum generation scheduling to meet the particular load demand with the minimum fuel costs while all constraints are satisfied. The objective of the Economic Dispatch Problems (EDPs) of electric power generation is to schedule the committed generating units outputs so...

In this paper particle swarm optimization (PSO) algorithm is proposed to optimize Combined Economic emission Dispatch Problem (CEEDP)of thermal units. Combined Economic emission Dispatch Problem (CEEDP is used to minimize both total fuel cost of generation and the emission of toxic gases of the thermal generating units simultaneously while satisfying the load demand and constraints of the syste...

Economic load dispatch (ELD) is a non-linear optimization problem for determining the power shared among the generating units to satisfy the generation limit constraints of each unit and minimizing the cost of power production. In this paper, we present a new hybrid algorithm by combing the standard backtracking search optimization algorithm (BSA) and the random wake with direction exploitation...

The economic load dispatch (ELD) is one of the most important optimization problems from the view point of power system to derive optimal economy. Classically, it is to Identify the optimal combination of generation level of all generating units which minimizes the total fuel cost while satisfying the load. This classical ELD formulation has been solved by various methods like Lagrange method, ...

This paper proposes a simple enhanced augmented Hopfield Lagrange neural network (EALH) for solving economic dispatch (ED) problem with piecewise quadratic cost functions. The EALH is an augmented Lagrange Hopfield neural network (ALH), which is a combination of continuous Hopfield neural network and augmented Lagrangian relaxation function as its energy function, enhanced by a heuristic search...

The dayahead short term load forecasting (STLF) is a necessary daily task for power dispatch. Short term load forecasting is essential for unit commitment, economic allocation of generation, maintenance schedules. This paper presents a solution methodology using fuzzy logic for short term load forecasting. Fuzzy logic approach is implemented on weather sensitive data and historical load data fo...

Original scientific paper Economic Load Dispatch problem has been previously solved successfully with swarm techniques. However, power systems with complex behaviours still await a robust algorithm to be developed for their optimization more precisely. Economic Dispatch problem with constraints such as generator limits, total power demand, ramp rate limits and prohibited operating zones, makes ...