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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...
This paper proposes a method to determine the output of all online units with minimum total cost when the amount of emission is reasonable. A joint economic and emission dispatch is proposed in order to get a significant compromise between costs and emission such that real power supply-demand equilibrium is satisfied. In order to have a meaningful compromise between costs and emission in the problem...
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...
In this paper, the Hybrid Genetic Algorithm-Ant Colony Optimization (GACO) approach is presented to solve the unit commitment problem, and comparison with the results obtained using literature methods by nuclear-grade Digital Instrumentation and Control (DI&C) simulation. Then this paper applied the ability of the Genetic Algorithm (GA) operated after Ant Colony Optimization (ACO) can promote...
The paper proposes a formulation for profit-based optimal generation scheduling by a microgrid (μgrid). Current methods normally assume either islanded operation, or utility-grid connected μgrid but lacking in market participation elements. The paper addresses this gap whereby the formulated objective function allows for autonomous decision-making to determine the hour by hour optimal dispatch of...
The generation control is becoming increasingly important in view of increased load demand & reducing generating resources. The increasing load demands are posing serious threats to reliable operation of power systems. This is because the increasing load demand leads to lowering of turbine speed (Ns) & therefore reduction of frequency (f) of out put voltage of the generator. The healthy operation...
For the vertically integrated monopolistic environment in the past, economic dispatch and Unit Commitment (UC) were defined as finding and scheduling generating units in order to minimize the total production cost of utility and constraints such as power demand and spinning reserve are met. These problems under deregulated environment, on the other hand, are more complex and more competitive than...
Economic dispatch (ED) is a power system optimization problem and its objective is to reduce the total generation cost of units while satisfying constraints. The presence of nonlinearities in practical generator operation makes solving the ED problem more challenging. These generator nonlinearities are modeled as constraints to be met in the form of ramp-rate limits and prohibited operating zones...
In power system operation output power of generators should be properly adjusted in economical way so as to meet load demand which changes every moment. Besides, dynamic constraints such as output power ramp rates have to be observed to avoid excessive fatigue in plant structure, which leads to the necessity of solving dynamic economic load dispatch problems. This paper proposes a new solution technique...
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...
This paper proposes a new application of Honey Bee Colony Optimization (BCO) to solve the Economic Dispatch (ED) problem with generator constraints. The fundamental constraints of ED problem are the load demand and spinning reserve capacity. Additionally, some practical operation constraints of generators, i.e. ramp rate limits and prohibited operating zone are taken into consideration. To demonstrate...
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...
This paper presents a novel optimization approach to combined economic and emission dispatch (CEED) problem using artificial immune system (AIS). The approach utilizes the clonal selection principle and evolutionary approach wherein cloning of antibodies is performed followed by hyper mutation. The developed AIS optimization technique uses the total operating cost as the objective function and is...
This paper proposes a particle swarm optimization (PSO) method for solving the economic dispatch (ED) problem in power systems. Many nonlinear characteristics of the generator are considered for practical generator operation, such as ramp rates, prohibited operating zones, and non-smooth cost functions. The feasibility of the proposed method is demonstrated for two different systems, and is Compared...
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