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Enhanced Fault Localization in Energy Systems Using an Improved mvo algorithm and Multistrategy Optimization

IEEE ACCESS 2025年 13卷 50367-50378页

作者： Li, Ze Univ Malaya Fac Comp Sci & Informat Technol Kuala Lumpur 50603 Malaysia

With the advancement of energy systems toward intelligence and renewability, fault localization in active distribution networks (ADNs) has become a critical issue due to its direct impact on power supply reliability and system stability. Existing fault localization methods often suffer from low accuracy and slow convergence, particularly in complex network structures and under variable fault scenarios. This paper proposes an Improved Multiverse Optimization (Imvo) algorithm to address these challenges. The Imvo algorithm enhances the standard Multiverse Optimization (mvo) by introducing a three-phase search strategy-exploration, development, and hybrid-and dynamically adjusting key parameters such as the Travel Distance Ratio (TDR) and Wormhole Existence Probability (WEP) to balance global and local search capabilities. Additionally, elite retention and differential evolution strategies are integrated to improve population diversity and prevent premature convergence. Validation on the IEEE 33-node ADN model with distributed energy sources demonstrates that the Imvo algorithm achieves fault localization accuracies of 97.2% for single-point faults and 97.6% for multipoint faults, with average convergence within 6 and 8 generations, respectively. Further experiments on the IEEE 69-node network validate the algorithm's scalability, achieving 96.8% and 97.0% accuracy for single-point and multipoint faults, respectively, with only a moderate increase in computational time. The results indicate that the Imvo algorithm maintains near-linear computational complexity as network size grows, making it a viable solution for real-time fault diagnosis in large-scale ADNs. These findings highlight the superior accuracy, convergence speed, and robustness of the proposed Imvo algorithm, demonstrating its potential as an efficient and reliable fault localization method for complex ADN environments and future smart grid applications.

关键词： Fault localization mvo algorithm multistrategy optimization distribution networks Fault localization mvo algorithm multistrategy optimization distribution networks

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Multi verse optimization (mvo) technique based voltage stability analysis through continuation power flow in IEEE 57 bus 1

Multi verse optimization (MVO) technique based voltage stabi...

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1st International Conference on Power Engineering Computing and CONtrol (PECCON)

作者： Karthikeyan, K. Dhal, P. K. Veltech Dr RR & Dr SR Univ Dept Elect & Elect Engn Chennai Tamil Nadu India

Voltage stability analysis of multi machine system is evaluated through continuation power flow (CPF) in this paper. The performance study of SVC is accomplishd in IEEE 57 bus test system for the enrichment of voltage stability through Power System Analysis tool box (PSAT). When the system undergoes unexpected over loading, it might be voltage collapse. The voltage collapse is main issue which can be a serious result of voltage instability. So the stability is affected. It needs compensation to improve the stability from the disturbances. Here the system is analyzed by CPF to improve the stability. Various operating conditions like without SVC and with SVC tuned by mvo are used to estimate the performance of the proposed procedure. The results show that the system with SVC tuned by mvo gets more flexibility in load side and gives stability than the system without SVC. (C) 2017 The Authors. Published by Elsevier Ltd.

关键词： SVC PSAT voltage Stability CPF mvo algorithm

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Multi-UAVs Cooperative Reconnaissance Task Allocation Under Heterogeneous Target Values

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IEEE ACCESS 2022年 10卷 70955-70963页

作者： Wei, Zhaotian Zhao, Xiaolin Air Force Engn Univ Equipment Management & UAV Engn Coll Xian 710051 Peoples R China Air Force Engn Univ Grad Sch Xian 710051 Peoples R China

This paper presents a Multiple Unmanned Aerial Vehicles (UAVs) cooperative reconnaissance task allocation model based on heterogeneous target value and proposes an improved Multi-Verse Optimizer (mvo) algorithm. Firstly, according to the reconnaissance value of the target, the reconnaissance targets are divided into high-value targets, low-value targets and decoy targets. It improves the authenticity of the problem. The purpose of task allocation is to maximize the reconnaissance revenue of UAVs as much as possible under the condition of minimizing the reconnaissance time and fuel loss of UAVs to the targets. Then, to solve the model, this paper improves the traditional mvo algorithm. Adaptive compression factor is introduced to improve the convergence speed of the algorithm. In addition, the differential mutation operation is performed in the wormhole movement stage to enhance the global search ability of the algorithm. The simulation results show that the improved algorithm can successfully solve the reconnaissance task allocation problem under different target values, and has obvious advantages in reconnaissance revenue and calculation speed compared with other methods.

关键词： Reconnaissance Task analysis Resource management Autonomous aerial vehicles Airports Optimization Vehicle dynamics Multi-UAVs reconnaissance task allocation heterogeneous target value mvo algorithm

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Multi verse optimization (mvo) technique based voltage stability analysis through continuation power flow in IEEE 57 bus

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Energy Procedia 2017年 117卷 583-591页

作者： K. Karthikeyan P.K. Dhal Research Scholar Department of Electrical and Electronics Engineering Veltech Dr.RR & Dr.SR University Chennai India Professor Department of Electrical and Electronics Engineering Veltech Dr.RR & Dr.SR University Chennai India

Voltage stability analysis of multi machine system is evaluated through continuation power flow (CPF) in this paper. The performance study of SVC is accomplishd in IEEE 57 bus test system for the enrichment of voltage stability through Power System Analysis tool box (PSAT).When the system undergoes unexpected over loading, it might be voltage collapse. The voltage collapse is main issue which can be a serious result of voltage instability. So the stability is affected. It needs compensation to improve the stability from the disturbances. Here the system is analyzed by CPF to improve the stability. Various operating conditions like without SVC and with SVC tuned by mvo are used to estimate the performance of the proposed procedure. The results show that the system with SVC tuned by mvo gets more flexibility in load side and gives stability than the system without SVC.

关键词： SVC PSAT voltage Stability CPF mvo algorithm

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A multi-objective multi-verse optimization algorithm for dynamic load dispatch problems

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KNOWLEDGE-BASED SYSTEMS 2021年 231卷 1页

作者： Acharya, Srinivasa Ganesan, S. Kumar, D. Vijaya Subramanian, S. Aditya Inst Technol & Management Dept Elect & Elect Engn Tekkali Andhra Pradesh India Govt Coll Engn Dept Elect & Elect Engn Salem 636011 Tamil Nadu India Annamalai Univ Fac Engn & Technol Dept Elect Engn Annamalainagar 608002 Tamil Nadu India

In power system operation, optimal economic dispatch is imposed by the costs of increasing power generation, the increasing demand for electrical energy and the scarcity of energy resources. By satisfying all constraints, the most important thing is the economical load distribution in order to enable the generators used in the system to generate optimal power. The non-smooth cost function and emission with nonlinear constraints are the practical economic load dispatch issues that create a challenge that is effectively reduced. This paper presents a multi-objective multi-verse optimization scheme to minimize the dynamic economic load dispatch issue using valve-point effects. Along with all other necessary constraints, this algorithm preserves the ramp of unit required rate constraint. However, it maintains these limitations via the transaction duration to the next time horizon to eliminate the power system operation's discontinuity, not only for its time horizon. The objective of this method is by satisfying various operational constraints and the power generator has the load requirement along with the minimization of cost. The proposed algorithm is tested on two test systems by varying the generating units as 40, 80, and 160. Simulation results are performed under the MATLAB environment and, the acquired results are compared with many existing algorithms in terms of fuel cost, emission cost, and robustness. The proposed scheme is very encouraging and proves the effectiveness of solving various dynamic economical load dispatch problems depending on the numerical outcomes. (C) 2021 Elsevier B.V. All rights reserved.

关键词： DELD problems mvo algorithm Fuel cost Emission cost Thermal and solar power generation system

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