Economic Dispatch with Valve Point Effect using various PSO Techniques K. Sathish Kumar * (original) (raw)
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International Journal of Electrical and Computer Engineering (IJECE), 2014
Reduction of operating costs in power system in order to return the investment costs and more profitability has vital importance in power industry. Economic Load Dispatch (ELD) is one of the most important issues in reducing operating costs. ELD is formulated as a nonlinear optimization problem with continuous variables within the power plants. The main purpose of this problem is optimal planning of power generation in power plants with minimum cost by total units, regarded to equality and inequality constraints including load demand and the range of units' power productivity. In this article, Economic Load Dispatch problem has been modeled by considering the valve-point loading effects with power plants' constraints such as: the balance of production and consumption in system, the forbidden zones, range of production, increasing and decreasing rates, reliability constraints and network security. To solve the problem, Particle Swarm Optimization (PSO) Algorithms has been employed. To evaluate the effectiveness of the proposed method, the problem has been implemented on a power system with 15 generating units and the results have been evaluated.
Application of Improved Particle Swarm Optimization in Economic Dispatch of Power System
2017 10th International Symposium on Computational Intelligence and Design (ISCID), 2017
This paper introduces an improved particle swarm optimization to solve economic dispatch problems involving numerous constraints. Depending on the type of generating units, there are optimization constraints and practical operating constraints of generators such as prohibited operating zones and ramp rate limits. The algorithm is a hybrid technique made up of particle swarm optimization and bat algorithm. Particle swarm optimization as the main algorithm integrates bat algorithm in order to boost its velocity and adjust the improved solution. The new technique is firstly tested on five different cases of economic dispatch problems comprising 6, 13, 15, 40 and 140 generating units. The simulation results show that it performs better than both particle swarm and bat technique.
Solving Economic Dispatch Problems with Valve-point Effects using Particle Swarm Optimization
J. Univers. Comput. Sci., 2012
Particle Swarm Optimization (PSO) is a swarm intelligence optimization method inspired from birds' flocking or fish schooling. Many improved versions of PSO are reported in literature, including some by the authors. Original as well as improved versions of PSO have proven their applicability to various fields like science, engineering and industries. Economic dispatch (ED) problem is one of the fundamental issues in power system operations. This problem turns out to be a non linear continuous optimization problem. In this paper, economic dispatch problem is solved using original PSO and two of its improved variants, namely, Laplace Crossover PSO (LXPSO) and Quadratic Approximation PSO (qPSO), in order to find better results than reported in the literature. Results are also compared with the earlier published results.
An Extension of Particle Swarm Optimization (E-PSO) Algorithm for Solving Economic Dispatch Problem
2013 1st International Conference on Artificial Intelligence, Modelling and Simulation, 2013
Producing the energy power that meets the load demands at a minimum cost while satisfying the constraints is known as economic dispatch. Economic dispatch becomes one of the most complex problems in the planning and operation of a power system that aims to determine the optimal generation scheduling at minimum cost. For that reason many optimization researches on finding an optimal solution regarding the total cost of generation have been carried out. This paper presents the implementation of the extension of the PSO (E-PSO) system in solving the continuous nonlinear function of the cost curves of the generator. In this paper, a 6unit generation system has been applied to show the effectiveness of the E-PSO compared to the standard PSO. The results show that E-PSO is capable in solving the economic dispatch problem in term of minimizing the total cost of generation while considering the generator limits and transmission losses.
IJERT-Particle Swarm Optimization Based Economic Load Dispatch with Valve Point Loading
International Journal of Engineering Research and Technology (IJERT), 2015
https://www.ijert.org/particle-swarm-optimization-based-economic-load-dispatch-with-valve-point-loading https://www.ijert.org/research/particle-swarm-optimization-based-economic-load-dispatch-with-valve-point-loading-IJERTV4IS050998.pdf Economic load dispatch (ELD) problem is a quite important task in the operational planning of a power system, where fuel cost is minimized by allocating generation to the committed units subject to the constraints imposed. A small change in the formulation of objective function will come into picture with the introduction of valve point loading effects. In this paper an effective and reliable particle swarm optimization (PSO) technique is proposed for the economic load dispatch problem. The results have been demonstrated for Economic Load Dispatch of standard 3-generator and 10-generator systems with and without consideration of the transmission losses.
International Journal of Engineering Research and Technology (IJERT), 2014
https://www.ijert.org/a-new-solution-for-dynamic-economic-dispatch-with-valve-point-loading-using-modified-particle-swarm-optimization https://www.ijert.org/research/a-new-solution-for-dynamic-economic-dispatch-with-valve-point-loading-using-modified-particle-swarm-optimization-IJERTV3IS070521.pdf This article presents a novel optimization approach to constrained dynamic economic dispatch (DED) problems using the modified particle swarm optimization (MPSO) technique. The proposed methodology easily takes care of different constraints like transmission losses, ramp rate limits and generating limit and power balance limit. To illustrate its efficiency and effectiveness, the developed MPSO approach is tested with different number of generating units and comparisons are performed with other approaches under consideration.
Particle Swarm Optimization of Economic Dispatch Problem: A Brief Review Transfer
Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics, 2015
Electrical energy production has changed various features of the energy manufacturing. According to this map, lack of energy supplies, improving energy cost, environment matter, require optimal economic dispatch. Economic load dispatch (ED) problem is essentially nonlinear. Since we know that the traditional methods donot have the ability to solve problems like this for reasons such as caught up in the trap of local optimal point or low convergence speed. Therefore, the use of algorithms that are more powerful is inevitable. An efficient algorithm for solving ED problem is particle swarm optimization considering to its fast convergence to global optima and computationally efficiency. PSO based algorithms has achieved a pluperfect identification of the best solution for such kind of EDPs in last decade. In this paper, we try various techniques associated with PSO, fully checked.
PARTICLE SWARM OPTIMIZATION TECHNIQUE FOR DYNAMIC ECONOMIC DISPATCH
Economic Dispatch (ED) Problem is critical in power system operations as it gives the optimal schedule of the generators so that total operating cost of generation is minimum, while satisfying the generator constraints and the system constraints. The traditional ED doesn't take into account the valve point loading on the cost curve, ramp up and ramp down capability of the thermal generating units. The above said issues can't be over looked as they are a more realistic approach to the ED problem. The ED problem considering the Ramp limits and valve point effects is called Dynamic Economic Dispatch (DED). The present work aims to solve DED problem of a five generator system using Refined Genetic Algorithm (RGA) and Particle Swarm optimization (PSO) technique. The Solution obtained by PSO gives a better optimal solution compared to RGA, the results obtained are duly discussed.
Particle Swarm Optimization to solve Economic Dispatch considering Generator Constraints
2014
As we know that electrical energy plays a major role in day to day human life. It is not possible to imagine human life without electrical energy. This is because of the storage problem i.e. the electrical energy cannot be strong but is generated from natural sources and delivered as demand arises. An electrical engineer always tries to generate, transmit, and distribute the electrical energy at affordable cost while satisfying the constraints. Economic Dispatch is the process of allocation of optimal load to each committed generators while satisfying the equality and inequality constraints. The objective is to minimize the fuel cost by maintaining the generation power in limits and to reduce the computational time. The Economic Dispatch(ED) has been frequently solved by using classical optimization methods. In this proposed method the ED problem is formulated and solved by Particle Swarm Optimization technique. Three case studies are carried out on 6-unit and 15-unit systems. The solution is developed using MATLAB. Cost Generation is taken as an objective function and it is compared with the results of Genetic Algorithm (GA).
Particle Swarm Optimization Approach For Economic Load Dispatch: A Review
Particle swarm optimization (PSO) is an effective & reliable evolutionary based approach .Due to its higher quality solution including mathematical simplicity, fast convergence & robustness it has become popular for many optimization problems. There are various field of power system in which PSO is successfully applied. Economic Load Dispatch(ELD) is one of important tasks which provide an economic condition for a power system. it is a method of determine the most efficient, low cost & reliable operation of a power system by dispatching the available electricity generation resources to supply the load on the system. This paper presents a review of PSO application in Economic Load Dispatch problems.