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Soft Computing

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17.04.2020 | Methodologies and Application

Lightning attachment procedure optimization algorithm for nonlinear non-convex short-term hydrothermal generation scheduling

verfasst von: Maha Mohamed, Abdel-Raheem Youssef, Salah Kamel, Mohamed Ebeed

Erschienen in: Soft Computing | Ausgabe 21/2020

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Abstract

Short-term hydrothermal scheduling (STHS) is considered an important problem in the field of power system economics. The solution of this problem gives the hourly output of power generation schedule of the available hydro and thermal power units, which leads to minimization of the total fuel cost of thermal units for a given period of a time. The optimal generation of STHS is considered as a complicated and nonlinear optimization problem with a set of equality and inequality constraints such as the valve point loading effect of thermal units, the power transmission loss and the load balance. This paper proposes lightning attachment procedure Optimization (LAPO) algorithm for solving the nonlinear non-convex STHS optimization problem in order to minimize the operating fuel cost of thermal units with satisfying the operating constraints of the system. The performance of LAPO algorithm is validated using three different test systems considering the valve point loading effects of thermal units and the power transmission losses. The obtained results prove the effectiveness and superiority of LAPO algorithm for solving the STHS problem compared with other well-known optimization techniques.

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Titel: Lightning attachment procedure optimization algorithm for nonlinear non-convex short-term hydrothermal generation scheduling
verfasst von: Maha Mohamed
Abdel-Raheem Youssef
Salah Kamel
Mohamed Ebeed
Publikationsdatum: 17.04.2020
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 21/2020
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-020-04936-2

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