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 heap-based jellyfish search (HBJSA) is developed enhance performance of recent algorithms: (HBA) (JSA). The proposed HBJSA seeks make use explorative features HBA exploitative JSA overcome some problems found in their standard forms. HBJSA, HBA, are validated statistically compared by attempting real-world optimization issue CHP It aims satisfy demands minimize whole fuel cost (WFC) generation units. Additionally, series operational electrical constraints such as non-convex feasible operating regions valve-point effects power-only plants, respectively, considered solving problem. employed on medium systems, which 24-unit 48-unit large 84- 96-unit systems. experimental results demonstrate outperforms other reported techniques when handling Otherwise, comparative analyses carried out suggested HBJSA’s strong stability robustness determining lowest minimum, average, maximum WFC values JSA.