This paper presents clonal selection algorithm to solve the Dynamic Economic Dispatch Problem (DEDP) of generating units considering valve point loading effects. It determines the optimal operation of units with predicted load demand over a certain period of time with an objective to minimize total production cost while the system is operating with ramp rate limits. This paper presents DED base...

Economic dispatch is a highly constrained optimization problem in power system encompassing interaction among decision variables. Environmental concerns that arise due to the operation of fossil fired electric generators, transforms classical problem into multiobjective Emission Constrained Economic Dispatch (ECED) problem. The idea behind this problem formulation is to estimate the optimal gen...

Economic load dispatch (ELD) in power system problems involves scheduling the generating units to minimize cost and satisfy constraints. Although previous works propose solutions reduce CO2 emission production cost, an optimal allocation needs be considered on both emission-leading combined economic (CEED). Metaheuristic optimization algorithms perform relatively well ELD problems. The gradient...

A work on neural network and fuzzy logic based technique for solving the problem of unit commitment in any electric utility is presented in this paper. The effectiveness of economic dispatch is well understood when the objective is to schedule the committed generators to meet the load, maintain voltages and frequency within prescribed tolerances and minimize operating cost without unduly stress...

The Economic Load Dispatch (ELD) problem is how to real power output of each controlled generating unit in an area is selected to meet a given load and to minimize the total operating cost in the area. This is one of the important problems in a power system. The Hopfield Neural Network (HNN) has a good capability to solve optimization problems. Recently, the economic load dispatch problem solve...