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In this modern era, Economic Load Dispatch (ELD) is one of the essential issues of apprehension in power system process and scheduling. The cost function for each unit in ELD problems is resolved by using mathematical or analytical methods in conservative computation. So, the certain ELD problem is signified as a non linear optimization problem having both equality and inequality constraint that cannot...
This paper presents an overview of optimization field in case of condensing power plant. Different parameters of power system such as power losses, voltage drop, optimal placement, volume of generators, etc. were considered here; the analysis of their impact on generation process was conducted. The idea is to make a comparison between different models of energy systems and to show how fuel consumption...
A transmission loss minimum re-scheduling method by genetic algorithm and modified shuffled frog leaping algorithm are proposed. The problem is a complex mixed integer programming problem. A genetic algorithm (GA) is a search or optimization algorithm based on the mechanics of natural selection and natural genetics where modified shuffled frog-leaping algorithm (MSFLA), which is an improved version...
Economic Load Dispatch (ELD) is one of the most important problems to be solved in the operation and planning of a power system. Its objective is to schedule the power generation properly in order to minimize the total operational cost. Renewable energy resources such as wind power have significant attention in recent years in power system field. It reduces fuel consumption and also benefits in curbing...
A solution to the dynamic economic dispatch (DED) for 24 hour dispatch intervals (one day) with practical constraints using a Hopfield neural network (HNN) is proposed in this paper. The DED in this paper must satisfy the following constrained the system load demand, the spinning reserve capacity, the ramping rate limits and finally the prohibited operating zone. The feasibility of the proposed approach...
This paper proposes a systematic method for reactive loss optimization using Genetic Algorithm (GA) and load flow analysis for deregulated transmission systems. Due to nonlinear nature of power flow, tracing the loss and power flow through the mesh network becomes more complicated. In this paper, in genetic algorithm, the loss optimization using equivalent optimal power flow model has been treated...
In this paper, a self-adaptive differential evolution algorithm (SaDEA) is proposed for solving conventional economic dispatch (ED) problem with transmission losses consideration. The purpose of ED problem is to minimize the total fuel cost of thermal power plants associated with the technical operation and economical constraints. The software development has been performed within the mathematical...
Transmission loss and load flow allocations become important issues under deregulation system. Due to nonlinear nature of power flow, tracing the loss and power flow through the mesh network becomes more complicated. Since the complexity of electricity transmission system, it is not straightforward to determine the contribution of particular generator to a particular line loss and/ or load. This paper...
This paper proposes a novel global optimization technique to solve the nonconvex economic load dispatch (NCELD) problem. The foraging strategy of the pachycondyla apicalis ant (API) is hybridized with a genetic algorithm (GA) strategy to incorporate key features of both API and GA and form a relatively simple but robust algorithm, entitled GAAPI. The novel algorithm proposed in this paper combines...
The present work focuses on the allocation of the active power transmission losses among the buses of a power system operating under pool condition. Two types of approaches, based on the principle of equivalent bilateral Exchanges (EBEs) and the network Z-bus matrix are presented and compared with each other. In the case of network congestions, a GA framework is suggested to deal with the optimal...
Economic dispatch is one of the most challenging problems of power system. Various algorithms for solving optimal power flow problem are found in the literature. The Genetic Algorithm (GA) based solution techniques are more promising than other techniques due to its capability of global searching, robustness, and it does not require derivative information. This paper presents a genetic-fuzzy based...
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