Large-scale economic dispatch using an improved Hopfield neural network

Yalçınöz, Tankut; Short, M.J.

doi:10.1049/ip-gtd:19970866

Cited by 46 publications

(27 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The update of the particle position and velocity is done with relations (6) and (7). For each solution (X i ) ) it is verified if the components x i j satisfy the constrain (4 Table 2: Cost coefficients and limits of generated powers for a thermal power plant with six units (CS6) calculated value for x i j is kept.…”

Section: The Methodology Based On Pso For Solving the Epd Problemmentioning

confidence: 99%

“…To assess the efficiency of PSO algorithms, they are compared to other four algorithms previously presented using the same data, available in [5]. It can be seen that both PSO Classical, and PSO Accelerated algorithm reach the same cost F as the algorithms presented in [3], [5], [6] and [7]. The resulting solution and the cost value are comprised in Table 4.…”

Section: Pso Parameters and Pso Convergencementioning

confidence: 99%

“…-may be overcome by applying the artificial intelligence techniques. The most common optimization techniques based upon artificial intelligence used for solving economic power dispatch problems are: the genetic algorithm [3][4][5][6], the Hopfield neural networks [2,7], the differential algorithm [8], the evolutionary programming [9,10], fuzzy-optimization [12,13], tabu search [14], particle swarm optimization [15,16,27,28]. Also, the EPD can be formulated as a multi-objective optimization problem [11,13,17].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Swarm Intelligence Approach to the Power Dispatch Problem

Secui

Felea

Dziţac

et al. 2010

INT J COMPUT COMMUN

View full text Add to dashboard Cite

This paper examines how two techniques of the Particle Swarm Optimization method (PSO) can be used to solve the Economic Power Dispatch (EPD) problem. The mathematical model of the EPD is a nonlinear one, PSO algorithms being considered efficient in solving this kind of models. Also, PSO has been successfully applied in many complex optimization problems in power systems. The PSO techniques presented here are applied to three case studies, which analyze power systems having four, six, respectively twenty generating units.

show abstract

Section: The Methodology Based On Pso For Solving the Epd Problemmentioning

confidence: 99%

Section: Pso Parameters and Pso Convergencementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Swarm Intelligence Approach to the Power Dispatch Problem

Secui

Felea

Dziţac

et al. 2010

INT J COMPUT COMMUN

View full text Add to dashboard Cite

show abstract

“…Several methods have been proposed in the literature [4][5][6][7][8][9][10][11][12][13][14][15][16], to solve ED Problem considering transmission constraints and prohibited operating zones. This paper presents a simple and efficient algorithm based on 'λ-logic' for determining the optimal loading of generators having prohibited zones and ramp-rate limits, which uses a simple heuristic rule to determine the advantageous spaces.…”

Section: Introductionmentioning

confidence: 99%

“…However, these approaches involve a large number of iterations and are sensitive to the parameter settings. The method proposed in [7][8][9][10][11][12][13][14][15][16] made the authors to work on large scale systems. Lin et al [12] have presented an approach that integrates EP, tabu search and quadratic programming methods, the so-called (ETQ) method to solve the ED problem with prohibited operating zones.…”

Section: Introductionmentioning

confidence: 99%

Efficient Lambda Logic Based Optimisation Procedure to Solve the Large Scale Generator Constrained Economic Dispatch Problem

Adhinarayanan¹,

Sydulu²

2009

Journal of Electrical Engineering and Technology

View full text Add to dashboard Cite

-A simple and efficient Lambda logic (λ-logic) based algorithm is proposed for the solution of the generator constrained economic dispatch problem when the generating units having prohibited zones. The proposed method solves the economic dispatch (ED) problem that takes into account ramprate limits, transmission losses and prohibited operating zones in the power system operation. The proposed method uses a simple heuristic rule based on average power of prohibited operating zones which produces the feasibility of solution for the restricted operating units. The effectiveness of the algorithm is tested on five different test systems and the performance compared with other relevant methods reported in the literature. In all the cases, the proposed algorithm performs better than the previous existing algorithms with a less computational burden.

show abstract

A Hopfield Neural Network Approach to the Dual Response Problem

Köksoy

Yalçınöz

2005

Quality & Reliability Eng

View full text Add to dashboard Cite

The application of neural networks to optimization problems has been an active research area since the early 1980s. Unconstrained optimization, constrained optimization and combinatorial optimization problems have been solved using neural networks. This study presents a new approach using Hopfield neural networks (HNNs) for solving the dual response system (DRS) problems. The major aim of the proposed method is to produce a string of solutions, rather than a 'one-shot' optimum solution, to make the trade-offs available between the mean and standard deviation responses. This gives more flexibility to the decision-maker in exploring alternative solutions. The proposed method has been tested on two examples. The HNN results are very close to those obtained by using the NIMBUS (Nondifferentiable Interactive Multiobjective Bundle-based Optimization System) algorithm. Choosing an appropriate solution method for a certain multi-objective optimization problem is not easy, as has been made abundantly clear. Unlike the NIMBUS method, the HNN approach does not set any specific assumptions on the behaviour or the preference structure of the decision maker. As a result, the proposed method will still work and generate alternative solutions whether or not the decision maker has enough time and capabilities for co-operation.

show abstract

Large-scale economic dispatch using an improved Hopfield neural network

Cited by 46 publications

References 12 publications

A Swarm Intelligence Approach to the Power Dispatch Problem

A Swarm Intelligence Approach to the Power Dispatch Problem

Efficient Lambda Logic Based Optimisation Procedure to Solve the Large Scale Generator Constrained Economic Dispatch Problem

A Hopfield Neural Network Approach to the Dual Response Problem

Contact Info

Product

Resources

About