Chaotic whale optimization algorithm for optimal solution of combined heat and power economic dispatch problem incorporating wind

2020 ◽  
Vol 35 ◽  
pp. 56-71 ◽  
Author(s):  
Chandan Paul ◽  
Provas Kumar Roy ◽  
V. Mukherjee
Keyword(s):  
Optimization Algorithm ◽  
Economic Dispatch ◽  
Optimal Solution ◽  
Combined Heat And Power ◽  
Whale Optimization Algorithm ◽  
Whale Optimization ◽  
Economic Dispatch Problem ◽  
Power Economic

scholarly journals Optimal Solution of Combined Heat and Power Dispatch Problem Using Whale Optimization Algorithm

2022 ◽  
Vol 13 (1) ◽  
pp. 0-0
Keyword(s):  
Optimization Algorithm ◽  
Optimization Technique ◽  
Optimal Solution ◽  
Energy System ◽  
Combined Heat And Power ◽  
Whale Optimization Algorithm ◽  
Computational Time ◽  
Whale Optimization ◽  
Input Variables ◽  
Working Region

In this article whale optimization algorithm (WOA) has been applied to solve the combined heat and power economic dispatch (CHPED) problem. The CHPED is energy system which provides both heat and power. Due to presence of valve point loading and the prohibited working region, the CHPED problems become more complex one. The main objective of CHPED problem is to minimize the total cost of fuel as well as heat with fulfill the load demand. This optimization technique shows several advantages like having few input variables, best quality of solution with rapid computational time. The recommended approach is carried out on three test systems. The simulation results of the present work certify the activeness of the proposed technique.

scholarly journals Solving the Environmental Economic Dispatch Problem using Whale Optimization Algorithm

2017 ◽  
Vol 4 (1) ◽  
pp. 50-60
Author(s):  
Haider J.Touma
Keyword(s):  
Genetic Algorithm ◽  
Environmental Economic ◽  
Optimization Algorithm ◽  
Economic Dispatch ◽  
Test System ◽  
Standard Test ◽  
Whale Optimization Algorithm ◽  
Whale Optimization ◽  
Economic Dispatch Problem ◽  
Intelligent Methods

In this work, the Whale Optimization Algorithm method used to solve the Environmental Economic Dispatch Problem. The performance of the used algorithm is substantiated using standard test system of three thermal generating units. The proposed algorithm produced optimum or near optimum solutions. The obtained results in this study using the Whale Optimization Algorithm are compared with the obtained results using other intelligent methods such as Particle Swarm Optimization, Simple Genetic Algorithm and Genetic Algorithm. The comparison demonstrated the obtained results in this research are close to these obtained using the above revealed approaches.

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