Universität zu Köln

Ahmadianfar, Iman, Noshadian, Saeed, Elagib, Nadir Ahmed and Salarijazi, Meysam ORCID: 0000-0001-9010-1988 (2021). Robust Diversity-based Sine-Cosine Algorithm for Optimizing Hydropower Multi-reservoir Systems. Water Resour. Manag., 35 (11). S. 3513 - 3539. DORDRECHT: SPRINGER. ISSN 1573-1650

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Abstract

Hydropower energy generation depends on the available water resources. Therefore, planning and operation of the water resource systems are paramount tasks for energy management. Since reservoirs are one of the important components of water resources systems, extracting optimal operating policies for proper management of energy generated from these systems is an imperative step. Optimizing reservoir system operation (ORSO) is a non-linear, large-scale, and non-convex problem with a large number of constraints and decision variables. To solve ORSO problem effectively, a robust diversity-based, sine-cosine algorithm (RDB-SCA) is developed in the present study by introducing several strategies to balance the global exploration and local exploitation ability and to achieve accurate and reliable solutions. An efficient linear operation rule is coupled with the RDB-SCA to maximize the energy generation. The proposed method is then applied to a real-world, multi-reservoir system to extract optimal operational policies and, consequently, maximize the energy production. It is shown that the RDB-SCA is able to generate 24, 14, and 6% more energy than the original SCA, respectively for 2-, 3-, and 4-reservoir systems. The present findings are useful to suggest guidelines for efficient operation of hydropower multi-reservoir systems. This paper is supported by https://imanahmadianfar.com/codes.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Ahmadianfar, Iman UNSPECIFIED UNSPECIFIED UNSPECIFIED Noshadian, Saeed UNSPECIFIED UNSPECIFIED UNSPECIFIED Elagib, Nadir Ahmed UNSPECIFIED UNSPECIFIED UNSPECIFIED Salarijazi, Meysam UNSPECIFIED orcid.org/0000-0001-9010-1988 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-577499
DOI:	10.1007/s11269-021-02903-6
Journal or Publication Title:	Water Resour. Manag.
Volume:	35
Number:	11
Page Range:	S. 3513 - 3539
Date:	2021
Publisher:	SPRINGER
Place of Publication:	DORDRECHT
ISSN:	1573-1650
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language DIFFERENTIAL EVOLUTION ALGORITHM; GENETIC ALGORITHMS; OPTIMIZATION; OPERATION; PERFORMANCE; POLICIES; RULE Multiple languages Engineering, Civil; Water Resources Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/57749