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Books > Science & Mathematics > Physics > Electricity, magnetism & electromagnetism

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Thermal Generation Dispatch and Unit Commitment (Paperback) Loot Price: R1,442
Discovery Miles 14 420
Thermal Generation Dispatch and Unit Commitment (Paperback): Mohamed Z Kamh, Almoataz Y. Abdelaziz, Said F Mekhamer

Thermal Generation Dispatch and Unit Commitment (Paperback)

Mohamed Z Kamh, Almoataz Y. Abdelaziz, Said F Mekhamer

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Loot Price R1,442 Discovery Miles 14 420 | Repayment Terms: R135 pm x 12*

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Thermal generation scheduling is considered as one of the most important power system operational planning problems. The scheduling problem consists of two main parts; the economic dispatch problem and the unit commitment problem (UCP). The former belongs to nonlinear programming problems while the later is a combinatorial optimization problem. Dynamic economic dispatch problem (DEDP) is a special type of the generation scheduling problem in which all the units are considered online during the entire scheduling horizon. In this book, Hopfield Neural Network (HNN) is applied to solve the generation scheduling and the DEDP. A detailed study of the effect of the HNN parameters on the solution quality of EDP including transmission losses is made. The most appropriate values of the parameters are tuned. A new algorithm is proposed to eliminate the gap between the solution obtained by HNN and the actual solution. Three software packages are developed under the MATLAB(r) platform to solve EDP, ramp rate constrained DEDP and UCP. To demonstrate the effectiveness of the proposed algorithms and enhancements, several test systems reported in literature, with different complexities, are solved.

General

Imprint: Lap Lambert Academic Publishing
Country of origin: United States
Release date: May 2013
First published: May 2013
Authors: Mohamed Z Kamh • Almoataz Y. Abdelaziz • Said F Mekhamer
Dimensions: 229 x 152 x 7mm (L x W x T)
Format: Paperback - Trade
Pages: 120
ISBN-13: 978-3-659-39635-9
Categories: Books > Science & Mathematics > Physics > Electricity, magnetism & electromagnetism
LSN: 3-659-39635-4
Barcode: 9783659396359

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