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

Abstract

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.

A Multi-Objective Teaching–Learning Studying-Based Algorithm for Large-Scale Dispatching of Combined Electrical Power and Heat Energies

“…As shown, the null hypothesis is constantly disproved, and the possibility of a p-value is consistently very small at 5.37112 × 10 −67 . 9 contrasts the proposed TLSBA's results with those of other contemporary optimization schemes such as MRFO [42], IMPA [23], WOA [49], HT [19], WVO [55], WVO-PSO [55], PSO-TVAC [56] and HT-JFSO [25,57], with the optimal generation cost adopting the suggested approach. This table shows that the proposed TLSBA has the lowest cost and achieves the highest performance among the various optimizers.…”

Recent advances in use of bio-inspired jellyfish search algorithm for solving optimization problems

“…Ginidi et al 58 proposed a heap-based jellyfish search optimizer (HBJSO) to enhance the performance of two recently developed algorithms: the heap-based optimizer (HBO) and JSO. The proposed hybrid HBJSO seeks to make use of the explorative features of HBO and the exploitative features of JSO to overcome some of the issues associated with their standard forms.…”

“…Vol:. ( 1234567890 Minimization of power loss and maximization of profit for DG and CB JSO Tiwari et al 64 Minimization of total generation cost and solution convergence for OPF JSO Farhat et al 65 Optimal Volt/VAr coordination, DG integration SVC operation JSO Shaheen et al 66 Tracking GMPP of solar photovoltaic module JSO Alam et al 67 Tracking optimal point of solar energy generation system JSO Boutasseta et al 68 Optimizing both location and size of CB and DG JSO Abdulnasser et al 69 Solving economic load dispatch problem JSO Ngo 70 Combined heat and power (CHP) economic dispatch HBJSO Ginidi et al 58 Tracking MPPT under partial shade conditions IJSO Huang and Lin 73 Electrical energy demand forecasting JSO Boriratrit et al 75 Optimal sizing technique for a hybrid micro-grid JSO Ali et al 76 Addressing the problems of grid connection and power dispatching caused by nonstationary wind power output IJSO-SVR Yuan et al 78 Evaluation of power generation capacity of plant microbial fuel cells (PMFCs) JSO Chou et al 79 Solving combined economic emission problem for isolated micro-grid JAO Rai and Verma 77 Optimizing combined heat and power economic dispatch (CHPED) AHJFO Shaheen et al 57 Solving optimal power flow (OPF) problem QRJFO Shaheen et al 74 Determining minimum weight design of transmission tower JSO-SCA Solving large cyclic symmetric dome optimization problems QJSO Kaveh et al 52 Determining nominal shear capacity of reinforced concrete walls in buildings JSO-XGBoost Chou et al 86 Solving structural optimization problems MOJS Chou and Truong 46 Solving classical constrained engineering design problems JSO Rajpurohit and Sharma 56…”

Renewable Energy Micro-Grid Interfacing: Economic and Environmental Issues

“…Despite that, only the fuel costs of the committed DGs were handled where the quadratic cost models were utilized for the fuel cells and the micro turbines. In [18], a manta ray foraging optimizer was developed to optimally solve the economic dispatch problem with wind power inclusion considering the valve point effects of the generators, while the wind power effects were ignored in [19,20]. However, the environmental impacts of this operation were not considered.…”