Please use this identifier to cite or link to this item: http://repository.vnu.edu.vn/handle/VNU_123/27281
Title: Multi-Objective Short-Term Fixed Head Hydrothermal Scheduling Using Augmented Lagrange Hopfield Network
Authors: Nguyen, Thang Trung
Vo, Dieu Ngoc
Keywords: Augmented lagrange hopfield network;Fixed head;Fuzzy set theory;Hydrothermal scheduling
Issue Date: 2014
Publisher: KOREAN INST ELECTR ENG, 901 KSTC, 635-4 YEOKSAM-DONG, GANGNAM-GU, SEOUL, 135-703, SOUTH KOREA
Citation: ISIKNOWLEDGE
Abstract: This paper proposes an augmented Lagrange Hopfield network (ALHN) based method for solving multi-objective short term fixed head hydrothermal scheduling problem. The main objective of the problem is to minimize both total power generation cost and emissions of NOx, SO2, and CO2over a scheduling period of one day while satisfying power balance, hydraulic, and generator operating limits constraints. The ALHN method is a combination of augmented Lagrange relaxation and continuous Hopfield neural network where the augmented Lagrange function is directly used as the energy function of the network. For implementation of the ALHN based method for solving the problem, ALHN is implemented for obtaining non-dominated solutions and fuzzy set theory is applied for obtaining the best compromise solution. The proposed method has been tested on different systems with different analyses and the obtained results have been compared to those from other methods available in the literature. The result comparisons have indicated that the proposed method is very efficient for solving the problem with good optimal solution and fast computational time. Therefore, the proposed ALHN can be a very favorable method for solving the multi-objective short term fixed head hydrothermal scheduling problems.
Description: JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY Volume: 9 Issue: 6 Pages: 1882-1890 Published: NOV 2014
URI: http://repository.vnu.edu.vn/handle/VNU_123/27281
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