Optimal power flow solution using space transformational invasive weed optimization algorithm
In this work, a space transformational invasive weed optimization (ST-IWO) algorithm is
applied for the solution of single and multi-objective optimal power flow problem. The ST …
applied for the solution of single and multi-objective optimal power flow problem. The ST …
Enhanced Harris hawk optimizer for hydrothermal generation scheduling with cascaded reservoirs
A Kumar, JS Dhillon - Expert Systems with Applications, 2023 - Elsevier
The paper intends to propose an enhanced Harris hawk optimizer (EHHO) to solve the
highly constrained and non-linear multiobjective hydrothermal generation scheduling …
highly constrained and non-linear multiobjective hydrothermal generation scheduling …
Multi-objective generation scheduling of integrated energy system using fuzzy based surrogate worth trade-off approach
RS Patwal, N Narang - Renewable Energy, 2020 - Elsevier
The aim of this research work is to resolve the economic, emission and multi-objective
scheduling problem (MOSP) of the integrated energy system (IES). The integrated energy …
scheduling problem (MOSP) of the integrated energy system (IES). The integrated energy …
An economic/emission dispatch based on a new multi-objective artificial bee colony optimization algorithm and NSGA-II
The conventional energy resources have limited reserves and their utilization is adversely
affecting the environment. Hence, it is necessary to generate electricity with the least cost …
affecting the environment. Hence, it is necessary to generate electricity with the least cost …
Crisscross differential evolution algorithm for constrained hydrothermal scheduling
M Kaur, JS Dhillon, DP Kothari - Applied Soft Computing, 2020 - Elsevier
This paper proposes a novel chaotic-crisscross differential evolution (CCDE) algorithm to
realize an optimal generation schedule of multi-chain short-term hydrothermal system over …
realize an optimal generation schedule of multi-chain short-term hydrothermal system over …
A modified artificial bee colony algorithm based on a non-dominated sorting genetic approach for combined economic-emission load dispatch problem
The multi-objective optimization algorithms (MOO) are used to obtain the best compromising
solutions when two or more objective functions need to be optimized simultaneously. The …
solutions when two or more objective functions need to be optimized simultaneously. The …
A multi-agent deep reinforcement learning-based “Octopus” cooperative load frequency control for an interconnected grid with various renewable units
J Li, T Yu, H Cui - Sustainable Energy Technologies and Assessments, 2022 - Elsevier
With the aim of improving the frequency regulation performance of load frequency control
(LFC) in an interconnected power system as well as reducing wastage of frequency …
(LFC) in an interconnected power system as well as reducing wastage of frequency …
Fault diagnosis of high-speed brushless permanent-magnet DC motor based on support vector machine optimized by modified grey wolf optimization algorithm
LL Li, JQ Liu, WB Zhao, L Dong - Symmetry, 2021 - mdpi.com
With the development of reliability theory, people realized that “absolutely reliable”
machines could not be made. With its incomparable advantages, the high-speed permanent …
machines could not be made. With its incomparable advantages, the high-speed permanent …
Social small group optimization algorithm for large-scale economic dispatch problem with valve-point effects and multi-fuel sources
DC Secui, ML Secui - Applied Intelligence, 2024 - Springer
Economic dispatch is an important issue in the management of power systems and is the
current focus of specialists. In this paper, a new metaheuristic optimization algorithm is …
current focus of specialists. In this paper, a new metaheuristic optimization algorithm is …
[PDF][PDF] 基于改进粒子群优化算法的负荷分配方法研究
魏家柱， 潘庭龙 - 电测与仪表, 2022 - epjournal.csee.org.cn
针对多目标粒子群优化算法求解负荷优化分配问题时所出现的最优解分布不均,
局部最优等问题, 引入了精英交叉算子并基于拥挤度对非劣解集进行排序 …
局部最优等问题, 引入了精英交叉算子并基于拥挤度对非劣解集进行排序 …