Operational framework for recent advances in backtracking search optimisation algorithm: A systematic review and performance evaluation

BA Hassan, TA Rashid - Applied Mathematics and Computation, 2020 - Elsevier
Backtracking search optimisation algorithm (BSA) is a commonly used meta-heuristic
optimisation algorithm and was proposed by Civicioglu in 2013. When it was first used, it …

Under voltage load shedding and penetration of renewable energy sources in distribution systems: a review

S Sundarajoo, DM Soomro - International Journal of Modelling and …, 2023 - Taylor & Francis
The growing energy demand and the emerging environmental concerns across the globe
caused increasing penetration of renewable energy sources (RESs) in distribution systems …

[HTML][HTML] Chaotic slime mould optimization algorithm for optimal load-shedding in distribution system

MS Abid, HJ Apon, A Ahmed, KA Morshed - Ain Shams Engineering …, 2022 - Elsevier
The critical challenge for an efficient islanding operation of a distribution system having
Distributed Generation (DG) is preserving the frequency and voltage stability. Contemporary …

Multi-objective learning backtracking search algorithm for economic emission dispatch problem

X Xu, Z Hu, Q Su, Z Xiong, M Liu - Soft Computing, 2021 - Springer
The backtracking search algorithm (BSA) as a novel intelligent optimizer belongs to
population-based evolutionary algorithms. In this paper, a multi-objective learning …

Economic optimization for configuration and sizing of micro integrated energy systems

H Yu, C Zhang, Z Deng, H Bian… - Journal of Modern …, 2018 - ieeexplore.ieee.org
Based on analysis of construction and operation of micro integrated energy systems (MIES),
this paper presents economic optimization for their configuration and sizing. After presenting …

Charging strategy in electric vehicle chargers by utilizing demand side management scheme

A Khamis, MH Aiman, WM Faizal, CY Khor - Electric Power Systems …, 2023 - Elsevier
Electric vehicles (EVs) have received significant attention recently, given their potential
technical, environmental, and economic benefits. However, given the fact that EV charging …

Energy Saving in Flow‐Shop Scheduling Management: An Improved Multiobjective Model Based on Grey Wolf Optimization Algorithm

L Yin, M Zhuang, J Jia, H Wang - Mathematical Problems in …, 2020 - Wiley Online Library
Currently, energy saving is increasingly important. During the production procedure, energy
saving can be achieved if the operational method and machine infrastructure are improved …

[PDF][PDF] Assessing effectiveness of research for load shedding in power system

CN Raghu, A Manjunatha - International Journal of Electrical and …, 2017 - academia.edu
The research on loadshedding issues dates back to 1972 and till date many studies were
introduced by the research community to address the issues. A closer review of existing …

An adaptive inertia weight teaching–learning-based optimization for optimal energy balance in microgrid considering islanded conditions

N John, V Janamala, J Rodrigues - Energy Systems, 2024 - Springer
The energy balance in islanded microgrids is a complex task due to various operational
constraints. This paper proposes a new approach to multi-objective optimization for …

Multiple-deme parallel genetic algorithm based on modular neural network for effective load shedding

A Gholami-Rahimabadi, H Razmi, H Doagou-Mojarrad - Soft Computing, 2021 - Springer
One of the most effective corrective control strategies to prevent voltage collapse and
instability is load shedding. In this paper, a multiple-deme parallel genetic algorithm is used …