An Innovative Hybrid Heap-Based and Jellyfish Search Algorithm for Combined Heat and Power Economic Dispatch in Electrical Grids

This paper proposes a hybrid algorithm that combines two prominent nature-inspired meta-heuristic strategies to solve the combined heat and power (CHP) economic dispatch. In this line, an innovative hybrid heap-based and jellyfish search algorithm (HBJSA) is developed to enhance the performance of t...

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Main Authors: Ahmed Ginidi, Abdallah Elsayed, Abdullah Shaheen, Ehab Elattar, Ragab El-Sehiemy
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/9/17/2053
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spelling doaj-a6d30b86b82b4d8882065ea8fda535ab2021-09-09T13:52:12ZengMDPI AGMathematics2227-73902021-08-0192053205310.3390/math9172053An Innovative Hybrid Heap-Based and Jellyfish Search Algorithm for Combined Heat and Power Economic Dispatch in Electrical GridsAhmed Ginidi0Abdallah Elsayed1Abdullah Shaheen2Ehab Elattar3Ragab El-Sehiemy4Department of Electrical Engineering, Faculty of Engineering, Suez University, Suez 43533, EgyptDepartment of Electrical Engineering, Faculty of Engineering, Damietta University, Damietta 34517, EgyptDepartment of Electrical Engineering, Faculty of Engineering, Suez University, Suez 43533, EgyptDepartment of Electrical Engineering, College of Engineering, Taif University, Taif 21944, Saudi ArabiaDepartment of Electrical Engineering, Faculty of Engineering, Kafrelsheikh University, Kafrelsheikh 33516, EgyptThis paper proposes a hybrid algorithm that combines two prominent nature-inspired meta-heuristic strategies to solve the combined heat and power (CHP) economic dispatch. In this line, an innovative hybrid heap-based and jellyfish search algorithm (HBJSA) is developed to enhance the performance of two recent algorithms: heap-based algorithm (HBA) and jellyfish search algorithm (JSA). The proposed hybrid HBJSA seeks to make use of the explorative features of HBA and the exploitative features of the JSA to overcome some of the problems found in their standard forms. The proposed hybrid HBJSA, HBA, and JSA are validated and statistically compared by attempting to solve a real-world optimization issue of the CHP economic dispatch. It aims to satisfy the power and heat demands and minimize the whole fuel cost (WFC) of the power and heat generation units. Additionally, a series of operational and electrical constraints such as non-convex feasible operating regions of CHP and valve-point effects of power-only plants, respectively, are considered in solving such a problem. The proposed hybrid HBJSA, HBA, and JSA are employed on two medium systems, which are 24-unit and 48-unit systems, and two large systems, which are 84- and 96-unit systems. The experimental results demonstrate that the proposed hybrid HBJSA outperforms the standard HBA and JSA and other reported techniques when handling the CHP economic dispatch. Otherwise, comparative analyses are carried out to demonstrate the suggested HBJSA’s strong stability and robustness in determining the lowest minimum, average, and maximum WFC values compared to the HBA and JSA.https://www.mdpi.com/2227-7390/9/17/2053heap-based algorithmjellyfish search algorithmeconomic dispatchcombined heat and power plants
collection DOAJ
language English
format Article
sources DOAJ
author Ahmed Ginidi
Abdallah Elsayed
Abdullah Shaheen
Ehab Elattar
Ragab El-Sehiemy
spellingShingle Ahmed Ginidi
Abdallah Elsayed
Abdullah Shaheen
Ehab Elattar
Ragab El-Sehiemy
An Innovative Hybrid Heap-Based and Jellyfish Search Algorithm for Combined Heat and Power Economic Dispatch in Electrical Grids
Mathematics
heap-based algorithm
jellyfish search algorithm
economic dispatch
combined heat and power plants
author_facet Ahmed Ginidi
Abdallah Elsayed
Abdullah Shaheen
Ehab Elattar
Ragab El-Sehiemy
author_sort Ahmed Ginidi
title An Innovative Hybrid Heap-Based and Jellyfish Search Algorithm for Combined Heat and Power Economic Dispatch in Electrical Grids
title_short An Innovative Hybrid Heap-Based and Jellyfish Search Algorithm for Combined Heat and Power Economic Dispatch in Electrical Grids
title_full An Innovative Hybrid Heap-Based and Jellyfish Search Algorithm for Combined Heat and Power Economic Dispatch in Electrical Grids
title_fullStr An Innovative Hybrid Heap-Based and Jellyfish Search Algorithm for Combined Heat and Power Economic Dispatch in Electrical Grids
title_full_unstemmed An Innovative Hybrid Heap-Based and Jellyfish Search Algorithm for Combined Heat and Power Economic Dispatch in Electrical Grids
title_sort innovative hybrid heap-based and jellyfish search algorithm for combined heat and power economic dispatch in electrical grids
publisher MDPI AG
series Mathematics
issn 2227-7390
publishDate 2021-08-01
description This paper proposes a hybrid algorithm that combines two prominent nature-inspired meta-heuristic strategies to solve the combined heat and power (CHP) economic dispatch. In this line, an innovative hybrid heap-based and jellyfish search algorithm (HBJSA) is developed to enhance the performance of two recent algorithms: heap-based algorithm (HBA) and jellyfish search algorithm (JSA). The proposed hybrid HBJSA seeks to make use of the explorative features of HBA and the exploitative features of the JSA to overcome some of the problems found in their standard forms. The proposed hybrid HBJSA, HBA, and JSA are validated and statistically compared by attempting to solve a real-world optimization issue of the CHP economic dispatch. It aims to satisfy the power and heat demands and minimize the whole fuel cost (WFC) of the power and heat generation units. Additionally, a series of operational and electrical constraints such as non-convex feasible operating regions of CHP and valve-point effects of power-only plants, respectively, are considered in solving such a problem. The proposed hybrid HBJSA, HBA, and JSA are employed on two medium systems, which are 24-unit and 48-unit systems, and two large systems, which are 84- and 96-unit systems. The experimental results demonstrate that the proposed hybrid HBJSA outperforms the standard HBA and JSA and other reported techniques when handling the CHP economic dispatch. Otherwise, comparative analyses are carried out to demonstrate the suggested HBJSA’s strong stability and robustness in determining the lowest minimum, average, and maximum WFC values compared to the HBA and JSA.
topic heap-based algorithm
jellyfish search algorithm
economic dispatch
combined heat and power plants
url https://www.mdpi.com/2227-7390/9/17/2053
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