A novel multi-agent based crisscross algorithm with hybrid neighboring topology for combined heat and power economic dispatch
T Zhou, J Chen, X Xu, Z Ou, H Yin, J Luo, A Meng - Applied Energy, 2023 - Elsevier
Combined heat and power economic dispatch (CHPED) is a challenging optimization
problem with characteristics like non-convexity, discontinuity, and non-differentiability …
problem with characteristics like non-convexity, discontinuity, and non-differentiability …
Environmental/economic dispatch using a new hybridizing algorithm integrated with an effective constraint handling technique
H Nourianfar, H Abdi - Sustainability, 2022 - mdpi.com
This work tackles a relatively new issue in power system operation, known as the
Environmental/Economic Dispatch problem. For this purpose, the combination of two …
Environmental/Economic Dispatch problem. For this purpose, the combination of two …
Solving the combined heat and power economic dispatch problem in multi-zone systems by applying the imperialist competitive Harris hawks optimization
Combined heat and power economic dispatch (CHPED) problem is one of the challenging
issues in power system control, and operation, that searches for the optimal values of power …
issues in power system control, and operation, that searches for the optimal values of power …
[HTML][HTML] A novel improved harbor seal whiskers algorithm for solving hybrid dynamic economic environmental dispatch considering uncertainty of renewable energy …
WNAD Abed - e-Prime-Advances in Electrical Engineering …, 2024 - Elsevier
The originality of this work is introducing a novel Improved Harbor Seal Whiskers Algorithm
(IHSWA) as an innovative and improved optimizer for solving complex hybrid dynamic …
(IHSWA) as an innovative and improved optimizer for solving complex hybrid dynamic …
Solving the Combined Heat and Power Economic Dispatch Problem Considering Power Losses by Applying the Snake Optimization
The combined heat and power economic dispatch (CHPED) problem seeks to find the
optimal point for power and heat generations to minimize the fuel cost considering the …
optimal point for power and heat generations to minimize the fuel cost considering the …
ESO-Based Data-Driven Iterative Learning Control With RBFNN for Nonlinear Batch Processes
In this paper, an extended state observer (ESO) based data-driven iterative learning control
(DDILC) scheme with radial basis function neural network (RBFNN) is proposed for a class …
(DDILC) scheme with radial basis function neural network (RBFNN) is proposed for a class …
[PDF][PDF] Environmental/Economic Dispatch Using a New Hybridizing Algorithm Integrated with an Effective Constraint Handling Technique. Sustainability 2022, 14 …
H Nourianfar, H Abdi - 2022 - academia.edu
This work tackles a relatively new issue in power system operation, known as the
Environmental/Economic Dispatch problem. For this purpose, the combination of two …
Environmental/Economic Dispatch problem. For this purpose, the combination of two …