Economic dispatch by the combination of HNN and the Lagrange method

Abstract

In this work, we are going to solve the ED (economic dispatch) problem by the use of an HNN (Hopfield neural networks) model combined with the Lagrange method noted LHNN. In contrary to the techniques that use the linear function of the total inputs to neurons, we are going to use it at the non-linear form that allows the parameters of NN to contain all information of the original problem, so the HNN become able to reach exactly the solutions. At the end, simulations will be presented, with promising results, of a multi-objective economic environmental problem.

Optimal Utilization Of Hopfield Neural Network To Resolve Economic Load Dispatch Problem With Wind Penetration

“…In its place of utilizing the distinctive"B-coefficient technique", the real charge stream is used to calculate the transmitting delay correctly.The paper [3] claims that a comparative analysis of the experiment performance outcomes obtained by using conservative "Newton Raphson" and "Lagrangianmultiplier" models proposed Genetic Algorithms which at last demonstrates that Genetic Algorithm dispensesimprovedsolutions.A novel PSO technique coupled with an ELD issue to address the environmental radioactivity of the thermal power plant with energy stabilization and transmission limitations is proposed in paper [4].Paper [5] describes the excellent impression of device engagement and economic load dispatch problems for the application of a secure and economical energy scheme.Paper [6] presented a fresh hybrid approach recognized as the Efficient Hybrid Simulated Annealing method. Some researches show that the processes for deviating energy structure stabilizers of fuzzy logic by participating in genetic algorithms [7].Another paper [8]- [11] presents the application of computing "astuteness methods" to the issues of economic load dispatch.Papers [12], [13] describes biogeography-based optimization to clarify economic load dispatch issues of energy plant heat generators.The paper [14]explores the limitations of equality in the equilibrium of energy and the limitations of inequality in generator capability andissues of "HNN" to clarify the issue of economic environmental dispatch.Paper [15]includes processes for an accurate altered Evolutionary Algorithm. Many other papers [16]- [19]discloses the implementation of fuzzy-logic controllers to overcome the economic dispatch issue of the thermal generation plant.Another paper [20]presented"Hopfield Modeling Framework for Economic Dispatch".…”