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Journal articles on the topic 'Gravitational search algorithm distribution system'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Shuaib, Y. Mohamed, M. Surya Kalavathi, and C. Christober Asir Rajan. "Optimal Reconfiguration in Radial Distribution System Using Gravitational Search Algorithm." Electric Power Components and Systems 42, no. 7 (2014): 703–15. http://dx.doi.org/10.1080/15325008.2014.890971.

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Mohamed Shuaib, Y., M. Surya Kalavathi, and C. Christober Asir Rajan. "Optimal capacitor placement in radial distribution system using Gravitational Search Algorithm." International Journal of Electrical Power & Energy Systems 64 (January 2015): 384–97. http://dx.doi.org/10.1016/j.ijepes.2014.07.041.

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3

Zhao, Buzheng, and Jianmei Xiao. "Reconfiguration of Distributed Power Distribution Networks Based on Gravitational Search Algorithms." Journal of Physics: Conference Series 2527, no. 1 (2023): 012071. http://dx.doi.org/10.1088/1742-6596/2527/1/012071.

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Abstract Distributed power supply access to the system affects the tidal distribution of the distribution network. The article establishes a mathematical optimization model with network loss minimization and load balance minimization as the objective function. In this paper, the idea of elite strategy is introduced into the gravitational search algorithm and combined with the Sigmoid function, an optimization method of distribution network reconfiguration based on the improved gravitational search algorithm is proposed by improving the particle iteration rule. The mathematical model is solved

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Kumar, D. Mahesh, Dr S. Suresh Reddy, and Dr P. Sujatha. "Binary Gravitational Search Based Algorithm for Optimal DG and Capacitor Allocation Along with Network Reconfiguration in Radial Distribution Systems." International Journal of Electrical and Electronics Research 13, no. 1 (2025): 17–24. https://doi.org/10.37391/ijeer.130103.

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The Binary Gravitational Search Algorithm (BGSA) is a multi-purpose optimization technique presented in this research that may be used to identify the best capacity, position DG modules and capacitor groups, and reconfigure networks in distribution systems. The objective function has six performance indices: section load ability, voltage deviation, voltage stability index, dynamic and sensitive losses, and balancing current index. The optimization problem's objective function takes into account both the relevance of each indication and its combination. The suggested BGSA method was assessed on

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Lin, Zefeng, and Jianmei Xiao. "Reconfiguration of distributed power distribution networks based on improved gravitational search algorithms." Journal of Physics: Conference Series 2741, no. 1 (2024): 012054. http://dx.doi.org/10.1088/1742-6596/2741/1/012054.

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Abstract In order to solve the problem of weak global search ability and premature convergence of GSA, a hybrid algorithm combining GSA and PSO is proposed. This algorithm can effectively use the advantages of PSO in global search. In addition, the update strategy of the gravitational constant is optimized, which improves the early search ability of the algorithm. Taking the reduction of network loss as the objective function, the improved algorithm is used to reconstruct the distribution network with distributed generation. The simulation results of the IEEE33 system show that this algorithm

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Arya, Aadesh Kumar, Ashwani Kumar, and Saurabh Chanana. "Analysis of Distribution System with D-STATCOM by Gravitational Search Algorithm (GSA)." Journal of The Institution of Engineers (India): Series B 100, no. 3 (2019): 207–15. http://dx.doi.org/10.1007/s40031-019-00383-2.

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Wang, Tongxiang, Xianglin Wei, Jianhua Fan, and Tao Liang. "Jammer Localization in Multihop Wireless Networks Based on Gravitational Search." Security and Communication Networks 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/7670939.

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Multihop Wireless Networks (MHWNs) can be easily attacked by the jammer for their shared nature and open access to the wireless medium. The jamming attack may prevent the normal communication through occupying the same wireless channel of legal nodes. It is critical to locate the jammer accurately, which may provide necessary message for the implementation of antijamming mechanisms. However, current range-free methods are sensitive to the distribution of nodes and parameters of the jammer. In order to improve the localization accuracy, this article proposes a jammer localization method based o

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Kotapuri, Mercy Rosalina, and Rajesh Kumar Samala. "Distributed Generation Effect on Distribution System." Journal Européen des Systèmes Automatisés 54, no. 1 (2021): 155–63. http://dx.doi.org/10.18280/jesa.540118.

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The idea about this proposed work, to know the Distributed Generation (DG) impact on distribution scheme. This is to improve the performance of the system using power loss reduction and voltage development. In this proposed work Wind Turbine (WT) and Photo-Voltaic (PV) units were taken for DGs and various algorithms are tested to get the effect of DG on network. In this paper one new hybrid algorithm is proposed to have optimal size and location of various types of DGs. Initially, active and reactive power losses of the test system and voltage at every bus of the test system were examined usin

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Milovanović, Miloš, Jordan Radosavljević, and Bojan Perović. "Optimal Distributed Generation Allocation in Distribution Systems with Non-Linear Loads Using a New Hybrid Meta-Heuristic Algorithm." B&H Electrical Engineering 13, no. 1 (2019): 4–13. http://dx.doi.org/10.2478/bhee-2019-0001.

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Abstract This paper presents a new hybrid meta-heuristic algorithm based on the Phasor Particle Swarm Optimization (PPSO) and Gravitational Search Algorithm (GSA) for optimal allocation of distributed generation (DG) in distribution systems with non-linear loads. Performance of the algorithm is evaluated on the IEEE 69-bus system with the aim of reducing power losses, as well as improving voltage profile and power quality. Results, obtained using the proposed algorithm, are compared with those obtained using the original PSO, PPSO, GSA and PSOGSA algorithms. It is found that the proposed algor

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Arathi, Pothakanahalli Bheemasenarao, and C. Byalihal Shankaralingappa. "Optimal protective relaying scheme of distributed generation connected distribution network using particle swarm optimization-gravitational search algorithm technique." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 3 (2023): 2568–78. https://doi.org/10.11591/ijece.v13i3.pp2568-2578.

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This paper develops particle swarm optimization integrated with gravitational search algorithm (PSO-GSA) to coordinate the relays in a distribution system with distributed generation (DG) connectivity. This algorithm combines PSO and GSA to improve the performance of the relay protection system. To prevent relay malfunctions following DG penetration, a suitable primary and backup relay is chosen. The PSO-GSA is coded using MATLAB software and tested on an IEEE 4-bus system simulated in Simulink. Results indicate that, when compared to using regular PSO and GSA procedures individually, the PSO-

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Daud, Sa'adah, Aida Fazliana Abdul Kadir, Chin Kim Gan, Abdul Rahim Abdullah, Mohamad Fani Sulaima, and N. H. Shamsudin. "Optimal Placement and Sizing of Renewable Distributed Generation via Gravitational Search Algorithm." Applied Mechanics and Materials 785 (August 2015): 556–60. http://dx.doi.org/10.4028/www.scientific.net/amm.785.556.

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The installation of distributed generation (DG) gives advantages to the environment such as, it contribute in the reduction of non-peak operating cost, diversification of energy resources, lower losses thus improving overall organization. These advantages might be rescinded if no proper location and sizing of DGs are considered before the DG’s installation. This paper offers an optimal location and sizing of multiple DGs using heuristic method called gravitational search algorithm (GSA). The suggested algorithm is tested on 13-bus radial distribution system. This method is being compared with

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梁, 瑞勋. "Reactive Power and Voltage Control in a Distribution System by Quantum-Inspired Gravitational Search Algorithm." Transmission and Distribution Engineering and Technology 02, no. 02 (2013): 48–56. http://dx.doi.org/10.12677/tdet.2013.22009.

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Bheemasenarao, Arathi Pothakanahalli, and Shankaralingappa C. Byalihal. "Optimal protective relaying scheme of distributed generation connected distribution network using particle swarm optimization-gravitational search algorithm technique." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 3 (2023): 2568. http://dx.doi.org/10.11591/ijece.v13i3.pp2568-2578.

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<span lang="EN-US">This paper develops particle swarm optimization integrated with gravitational search algorithm (PSO-GSA) to coordinate the relays in a distribution system with distributed generation (DG) connectivity. This algorithm combines PSO and GSA to improve the performance of the relay protection system. To prevent relay malfunctions following DG penetration, a suitable primary and backup relay is chosen. The PSO-GSA is coded using MATLAB software and tested on an IEEE 4-bus system simulated in Simulink. Results indicate that, when compared to using regular PSO and GSA procedur

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Prakash, D., R. Mahalakshmi, and M. Karpagam. "Power Quality Enhancement in STATCOM connected Distribution Systems based on Gravitational Search Algorithm." International Journal on Electrical Engineering and Informatics 8, no. 4 (2016): 907–24. http://dx.doi.org/10.15676/ijeei.2016.8.4.15.

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Ing, Koong Gia, H. Mokhlis, H. A. Illias, M. M. Aman, and J. J. Jamian. "Gravitational Search Algorithm and Selection Approach for Optimal Distribution Network Configuration Based on Daily Photovoltaic and Loading Variation." Journal of Applied Mathematics 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/894758.

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Network reconfiguration is an effective approach to reduce the power losses in distribution system. Recent studies have shown that the reconfiguration problem considering load profiles can give a significant improvement on the distribution network performance. This work proposes a novel method to determine the optimal daily configuration based on variable photovoltaic (PV) generation output and the load profile data. A good combination and coordination between these two varying data may give the lowest power loss in the system. Gravitational Search Algorithm (GSA) is applied to determine the o

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Alias, Qais Matti, Nesrallh Salman, and Rasha Yassen Abed. "Reliability Enhancement in Distribution Systems via Optimum Network Reconfiguration by Using Gravitational Search Algorithm." Diyala Journal of Engineering Sciences 9, no. 4 (2016): 1–10. http://dx.doi.org/10.24237/djes.2016.09401.

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Milovanovic, Milos, Jordan Radosavljevic, and Bojan Perovic. "Optimal placement and sizing of shunt capacitors in distorted distribution systems using a hybrid algorithm." Serbian Journal of Electrical Engineering 18, no. 1 (2021): 115–35. http://dx.doi.org/10.2298/sjee2101115m.

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In this paper, a novel hybrid phasor particle swarm optimization and gravitational search algorithm, namely the hybrid PPSOGSA algorithm, is proposed to find the optimal size and location of shunt capacitors in distribution systems with non-linear loads. The performance of PPSOGSA are studied and evaluated using the IEEE 9- and 85-bus test systems with the objective of minimizing the total annual cost of the system. The procedure is conducted taking into account effects of harmonic distortion and discrete size of capacitors available in the market. Simulation results are compared with those ob

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Roy, Arindam, Vimlesh Verma, Srinivasa Rao Gampa, and R. C. Bansal. "Planning of distribution system considering residential roof top photovoltaic systems, distributed generations and shunt capacitors using gravitational search algorithm." Computers and Electrical Engineering 111 (November 2023): 108960. http://dx.doi.org/10.1016/j.compeleceng.2023.108960.

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Su, Lei, Wenxiang Wu, Wanli Feng, Junda Qin, and Yuqi Ao. "Collaborative Planning of Distribution Network, Data Centres and Renewable Energy in the Power Distribution IoT via Interval Optimization." Energies 17, no. 15 (2024): 3623. http://dx.doi.org/10.3390/en17153623.

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With the development of the power distribution Internet of Things (IoT), the escalating power demand of data centers (DCs) poses a formidable challenge to the operation of distribution networks (DNs). To address this, the present study considers the operational flexibility of DCs and its impact on DNs and constructs a collaborative planning framework of DCs, renewable energy sources (RESs), and DNs. This framework employs the interval optimization method to mitigate uncertainties associated with RES output, wholesale market prices, carbon emission factors, power demand, and workloads, and the

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Lati, Mojtaba, Hassan Ali Aghajani, and Mohammad Reza Lotfi. "Multiobjective Three-Level Supply Chain Management Problem Under Uncertainty Using Gravitational Search Algorithm." Discrete Dynamics in Nature and Society 2022 (October 3, 2022): 1–11. http://dx.doi.org/10.1155/2022/2442396.

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A supply chain is a set of resources, facilities, customers, products, and methods of inventory control, purchasing, and distribution. Every manufacturer or distributor has a subset of the supply chain that they have to manage and implement beneficially and efficiently for their survival and growth. Therefore, the production and delivery of products in the proper amounts and at the right time is as important as minimizing costs as well as customer satisfaction. Considering these reasons, supply chain network optimization includes decisions from many different aspects. In this study, a single-p

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Nassef, Ahmed M., Essam H. Houssein, Hegazy Rezk, and Ahmed Fathy. "Optimal Allocation of Biomass Distributed Generators Using Modified Hunger Games Search to Reduce CO2 Emissions." Journal of Marine Science and Engineering 11, no. 2 (2023): 308. http://dx.doi.org/10.3390/jmse11020308.

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Biomass is a renewable energy source because it is contained in organic material such as plants. This paper introduces a modified hunger games search for solving global optimization and biomass distributed generator problems. The hunger search algorithm is a very recent optimization algorithm. Despite its merits, it still needs some modifications. The proposed approach includes a new binary τ-based crossover strategy with satisfaction fulfillment step mechanisms. This new algorithm is designed to improve the original hunger games search algorithm by addressing some of its shortcomings, specifi

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Chaithanya, K. Krishna, G. V. Nagesh Kumar, Vempalle Rafi, and B. Sravan Kumar. "Optimal setting of interline power flow controller in deregulated power systems congestion management by using artificial intelligent controllers." Journal of Physics: Conference Series 2070, no. 1 (2021): 012127. http://dx.doi.org/10.1088/1742-6596/2070/1/012127.

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Abstract In electricity market with a deregulation withmany times will become difficult for dispatchingpower, whichis obtained with thepower congestion in transmission lines due to flow of power in buses. To reduce the flow of power in buses and system loss in lines which are heavily loaded, toimproveloadability and system stability for which an Interline Power Flow Controller used. In this article, Disparity Utilization Factor for Line is utilized with the optimal tuning and placement with Gravitational Search Algorithm IPFC hinged transmission lines for power congestion. The rankingof transm

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Tolba, Mohamed, Hegazy Rezk, Ahmed A. Zaki Diab, and Mujahed Al-Dhaifallah. "A Novel Robust Methodology Based Salp Swarm Algorithm for Allocation and Capacity of Renewable Distributed Generators on Distribution Grids." Energies 11, no. 10 (2018): 2556. http://dx.doi.org/10.3390/en11102556.

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A novel methodology based on the recent metaheuristic optimization algorithm Salp Swarm Algorithm (SSA) for locating and optimal sizing of renewable distributed generators (RDGs) and shunt capacitor banks (SCBs) on radial distribution networks (RDNs) is proposed. A multi-objective function index (MOFI) approach is used for assuring the power quality (PQ) through enhancing the voltage level in addition to minimizing the power losses of the system and the whole operating cost of the grid. The proposed methodology is tested via 33-Bus standard radial distribution networks at different scenarios t

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Bui, Duong Minh, Phuc Duy Le, Thanh Phuong Nguyen, and Hung Nguyen. "An Adaptive and Scalable Protection Coordination System of Overcurrent Relays in Distributed-Generator-Integrated Distribution Networks." Applied Sciences 11, no. 18 (2021): 8454. http://dx.doi.org/10.3390/app11188454.

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Integration of distributed generators (DGs) into a distribution network (DN) can cause coordination challenges of overcurrent relays (OCRs) because of different fault-current contributions of DGs as well as the directional change in fault currents. Therefore, the OCRs should be properly coordinated to maintain their adaptability and scalability to protect the DG-integrated distribution network. In this study, an adaptive and scalable protection coordination (ASPC) approach has been developed for the OCRs in a DG-contained distribution network based on two implementation stages. At the first st

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Wong, Ling Ai, Hussain Shareef, Azah Mohamed, and Ahmad Asrul Ibrahim. "Optimal Battery Sizing in Photovoltaic Based Distributed Generation Using Enhanced Opposition-Based Firefly Algorithm for Voltage Rise Mitigation." Scientific World Journal 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/752096.

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This paper presents the application of enhanced opposition-based firefly algorithm in obtaining the optimal battery energy storage systems (BESS) sizing in photovoltaic generation integrated radial distribution network in order to mitigate the voltage rise problem. Initially, the performance of the original firefly algorithm is enhanced by utilizing the opposition-based learning and introducing inertia weight. After evaluating the performance of the enhanced opposition-based firefly algorithm (EOFA) with fifteen benchmark functions, it is then adopted to determine the optimal size for BESS. Tw

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Narimani, Mohammad Rasoul, Rasoul Azizipanah-Abarghooee, Mahshid Javidsharifi, and Ali Azizi Vahed. "Enhanced gravitational search algorithm for multi-objective distribution feeder reconfiguration considering reliability, loss and operational cost." IET Generation, Transmission & Distribution 8, no. 1 (2014): 55–69. http://dx.doi.org/10.1049/iet-gtd.2013.0117.

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Ismael, Sherif, Shady Abdel Aleem, Almoataz Abdelaziz, and Ahmed Zobaa. "Probabilistic Hosting Capacity Enhancement in Non-Sinusoidal Power Distribution Systems Using a Hybrid PSOGSA Optimization Algorithm." Energies 12, no. 6 (2019): 1018. http://dx.doi.org/10.3390/en12061018.

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The high penetration of distributed generation (DG) units with their power-electronic interfaces may lead to various power quality problems, such as excessive harmonic distortions and increased non-sinusoidal power losses. In this paper, the probabilistic hosting capacity (PHC) due to the high penetration of photovoltaic units in a non-sinusoidal power distribution system is investigated. A C-type harmonic filter is proposed, to maximize the harmonic-constrained PHC. An optimization problem is formulated by using a Monte Carlo simulation, taking into account various uncertain parameters, such

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Nesrullah, Salman, Mohamed Azah, and Shareef Hussain. "Reliability improvement in distribution systems employing an integrated voltage sag mitigation method using binary gravitational search algorithm." Journal of Central South University 20, no. 11 (2013): 3002–14. http://dx.doi.org/10.1007/s11771-013-1824-0.

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Rajendran, Arulraj, and Kumarappan Narayanan. "A novel multi-objective hybrid WIPSO-GSA algorithm-based optimal DG and capacitor planning for techno-economic benefits in radial distribution system." International Journal of Energy Sector Management 13, no. 1 (2019): 98–127. http://dx.doi.org/10.1108/ijesm-01-2018-0007.

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PurposeThis paper aims to optimally plan distributed generation (DG) and capacitor in distribution network by optimizing multiple conflicting operational objectives simultaneously so as to achieve enhanced operation of distribution system. The multi-objective optimization problem comprises three important objective functions such as minimization of total active power loss (Plosstotal), reduction of voltage deviation and balancing of current through feeder sections.Design/methodology/approachIn this study, a hybrid configuration of weight improved particle swarm optimization (WIPSO) and gravita

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Narasimhulu, N., D. V. Ashok Kumar, and M. Vijaya Kumar. "Detection and Classification of High Impedance Fault in Power Distribution System using Hybrid Technique." Journal of Circuits, Systems and Computers 29, no. 08 (2019): 2050118. http://dx.doi.org/10.1142/s0218126620501182.

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In this paper, a hybrid strategy is introduced for detecting and classifying the High Impedance Fault in Power Distribution System. For hybridization, Gravitational Search Algorithm is combined with Artificial Neural Network to crease the classification performance. The ANN is utilized to characterize the blame signal from the reference signal and the execution is enhanced in view of the GSA calculation. The yield of the proposed method is recognized and arranged whether it is HIF fault or no-fault. At first, the ordinary practices of the appropriation framework are assessed. After that, the d

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Liu, Zhibin, Feng Guo, Jiaqi Liu, et al. "A Compound Coordinated Optimal Operation Strategy of Day-Ahead-Rolling-Realtime in Integrated Energy System." Energies 16, no. 1 (2023): 500. http://dx.doi.org/10.3390/en16010500.

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Aiming at the impact of the uncertainty of source load on the optimal scheduling in an integrated energy system (IES), in this paper, based on hybrid resolution modeling and hybrid instruction cycle scheduling technology, three time scales of day-ahead, intra-day rolling and real-time feedback optimization scheduling models are established, respectively, with the objectives of the economic optimal daily operation of the system, the minimum sum of the operation cost of energy purchase and wind curtailment penalty cost in the rolling control time domain, and the minimum adjustment amount of equi

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A. Khan, N., S. Ghosh, and S. P. Ghoshal. "Binary Gravitational Search based Algorithm for Optimum Siting and Sizing of DG and Shunt Capacitors in Radial Distribution Systems." Energy and Power Engineering 05, no. 04 (2013): 1005–10. http://dx.doi.org/10.4236/epe.2013.54b192.

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Qian, Jie, Ping Wang, Chenggen Pu, Xiaoli Peng, and Gonggui Chen. "Application of effective gravitational search algorithm with constraint priority and expert experience in optimal allocation problems of distribution network." Engineering Applications of Artificial Intelligence 117 (January 2023): 105533. http://dx.doi.org/10.1016/j.engappai.2022.105533.

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Fazliana Abdul Kadir, Aida, Azah Mohamed, Hussain Shareef, Ahmad Asrul Ibrahim, Tamer Khatib, and Wilfried Elmenreich. "An improved gravitational search algorithm for optimal placement and sizing of renewable distributed generation units in a distribution system for power quality enhancement." Journal of Renewable and Sustainable Energy 6, no. 3 (2014): 033112. http://dx.doi.org/10.1063/1.4878997.

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Sun, Jian, Jie Zhao, Xiaoyang Hu, Hongwei Gao, and Jiahui Yu. "Autonomous Navigation System of Indoor Mobile Robots Using 2D Lidar." Mathematics 11, no. 6 (2023): 1455. http://dx.doi.org/10.3390/math11061455.

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Significant developments have been made in the navigation of autonomous mobile robots within indoor environments; however, there still remain challenges in the face of poor map construction accuracy and suboptimal path planning, which limit the practical applications of such robots. To solve these challenges, an enhanced Rao Blackwell Particle Filter (RBPF-SLAM) algorithm, called Lidar-based RBPF-SLAM (LRBPF-SLAM), is proposed. In LRBPF, the adjacent bit poses difference data from the 2D Lidar sensor which is used to replace the odometer data in the proposed distribution function, overcoming t

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Parihar, Shradha, and Nitin Malik. "Optimal allocation of multiple DGS in RDS using PSO and its impact on system reliability." Facta universitatis - series: Electronics and Energetics 34, no. 2 (2021): 219–37. http://dx.doi.org/10.2298/fuee2102219p.

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This article presents the distributed generator (DG) integration in a radial distribution system (RDS). The DG penetration changes the single power source to multiple power sources and bidirectional load flow which enhances the system reliability and reduces system power losses. The particle swarm optimization and gravitational search algorithm are implemented for the optimal siting and sizing of one and three DG units in the RDS to examine its impact on system reliability and loss reduction. The types of DGs considered are Type I (injects real power) and Type IV (injects reactive and real pow

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Rajesh Sharma, R., and P. Marikkannu. "Hybrid RGSA and Support Vector Machine Framework for Three-Dimensional Magnetic Resonance Brain Tumor Classification." Scientific World Journal 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/184350.

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A novel hybrid approach for the identification of brain regions using magnetic resonance images accountable for brain tumor is presented in this paper. Classification of medical images is substantial in both clinical and research areas. Magnetic resonance imaging (MRI) modality outperforms towards diagnosing brain abnormalities like brain tumor, multiple sclerosis, hemorrhage, and many more. The primary objective of this work is to propose a three-dimensional (3D) novel brain tumor classification model using MRI images with both micro- and macroscale textures designed to differentiate the MRI

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Milovanović, Miloš, Dragan Tasić, Jordan Radosavljević, and Bojan Perović. "Optimal Placement and Sizing of Inverter-Based Distributed Generation Units and Shunt Capacitors in Distorted Distribution Systems Using a Hybrid Phasor Particle Swarm Optimization and Gravitational Search Algorithm." Electric Power Components and Systems 48, no. 6-7 (2020): 543–57. http://dx.doi.org/10.1080/15325008.2020.1797934.

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Almuqren, Latifah, Sumayh S. Aljameel, Hamed Alqahtani, Saud S. Alotaibi, Manar Ahmed Hamza, and Ahmed S. Salama. "A White Shark Equilibrium Optimizer with a Hybrid Deep-Learning-Based Cybersecurity Solution for a Smart City Environment." Sensors 23, no. 17 (2023): 7370. http://dx.doi.org/10.3390/s23177370.

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Smart grids (SGs) play a vital role in the smart city environment, which exploits digital technology, communication systems, and automation for effectively managing electricity generation, distribution, and consumption. SGs are a fundamental module of smart cities that purpose to leverage technology and data for enhancing the life quality for citizens and optimize resource consumption. The biggest challenge in dealing with SGs and smart cities is the potential for cyberattacks comprising Distributed Denial of Service (DDoS) attacks. DDoS attacks involve overwhelming a system with a huge volume

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Qayyum, Nabeeha, Laiq Khan, Mudasir Wahab, Sidra Mumtaz, Naghmash Ali, and Babar Sattar Khan. "Fractional-Order Swarming Intelligence Heuristics for Nonlinear Sliding-Mode Control System Design in Fuel Cell Hybrid Electric Vehicles." World Electric Vehicle Journal 16, no. 7 (2025): 351. https://doi.org/10.3390/wevj16070351.

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Due to climate change, the electric vehicle (EV) industry is rapidly growing and drawing researchers interest. Driving conditions like mountainous roads, slick surfaces, and rough terrains illuminate the vehicles inherent nonlinearities. Under such scenarios, the behavior of power sources (fuel cell, battery, and super-capacitor), power processing units (converters), and power consuming units (traction motors) deviates from nominal operation. The increasing demand for FCHEVs necessitates control systems capable of handling nonlinear dynamics, while ensuring robust, precise energy distribution

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Albalawi, Hani, Yasir Muhammad, Abdul Wadood, Babar Sattar Khan, Syeda Taleeha Zainab, and Aadel Mohammed Alatwi. "Leveraging the Performance of Integrated Power Systems with Wind Uncertainty Using Fractional Computing-Based Hybrid Method." Fractal and Fractional 8, no. 9 (2024): 532. http://dx.doi.org/10.3390/fractalfract8090532.

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Reactive power dispatch (RPD) in electric power systems, integrated with renewable energy sources, is gaining popularity among power engineers because of its vital importance in the planning, designing, and operation of advanced power systems. The goal of RPD is to upgrade the power system performance by minimizing the transmission line losses, enhancing voltage profiles, and reducing the total operating costs by tuning the decision variables such as transformer tap setting, generator’s terminal voltages, and capacitor size. But the complex, non-linear, and dynamic characteristics of the power

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Lin, Mingmin, Yingpei Zeng, Ting Wu, Qiuhua Wang, Linan Fang, and Shanqing Guo. "GSA-Fuzz: Optimize Seed Mutation with Gravitational Search Algorithm." Security and Communication Networks 2022 (July 15, 2022): 1–17. http://dx.doi.org/10.1155/2022/1505842.

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Mutation-based fuzzing is currently one of the most effective techniques to discover software vulnerabilities. It relies on mutation strategies to generate interesting seeds. As a state-of-the-art mutation-based fuzzer, AFL follows a mutation strategy with high randomization, which uses randomly selected mutation operators to mutate seeds at random offsets. Its strategy may ignore some efficient mutation operators and mutation positions. Therefore, in this paper, we propose a solution named GSA-Fuzz to improve the efficiency of seed mutation strategy with the gravitational search algorithm (GS

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Kou, Zhicong. "Association rule mining using chaotic gravitational search algorithm for discovering relations between manufacturing system capabilities and product features." Concurrent Engineering 27, no. 3 (2019): 213–32. http://dx.doi.org/10.1177/1063293x19832949.

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An effective data mining method to automatically extract association rules between manufacturing capabilities and product features from the available historical data is essential for efficient and cost-effective product development and production. This article proposes a chaotic gravitational search algorithm–based association rule mining method for discovering the hidden relationship between manufacturing system capabilities and product features. The extracted rules would be utilized to predict capability requirements of various machines for the new product with different features. We use two

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Wang, Yanshuo, and Bo Zhang. "Distribution Network Reconfiguration based on Improved Gravitational Search Algorithm." IOP Conference Series: Earth and Environmental Science 73 (July 2017): 012022. http://dx.doi.org/10.1088/1755-1315/73/1/012022.

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Radosavljević, Jordan, Miroljub Jevtić, Nebojša Arsić, and Dardan Klimenta. "Optimal power flow for distribution networks using gravitational search algorithm." Electrical Engineering 96, no. 4 (2014): 335–45. http://dx.doi.org/10.1007/s00202-014-0302-5.

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SIDDIQUE, Nazmul, and Hojjat ADELI. "APPLICATIONS OF GRAVITATIONAL SEARCH ALGORITHM IN ENGINEERING." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 22, no. 8 (2016): 981–90. http://dx.doi.org/10.3846/13923730.2016.1232306.

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Gravitational search algorithm (GSA) is a nature-inspired conceptual framework with roots in gravitational kinematics, a branch of physics that models the motion of masses moving under the influence of gravity. In a recent article the authors reviewed the principles of GSA. This article presents a review of applications of GSA in engineering including combinatorial optimization problems, economic load dispatch problem, economic and emission dispatch problem, optimal power flow problem, optimal reactive power dispatch problem, energy management system problem, clustering and classification prob

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Mohamad Zamani, Mohamad Khairuzzaman, Ismail Musirin, Mohamad Sabri Omar, Saiful Izwan Suliman, Nor Azura Md. Ghani, and Nur Azwan Mohamed Kamari. "Gravitational Search Algorithm Based Technique for Voltage Stability Improvement." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 1 (2018): 123. http://dx.doi.org/10.11591/ijeecs.v9.i1.pp123-130.

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<p>Voltage instability problem has been known as a significant threat to power system operation since its occurrence can lead to power interruption. This phenomenon can be due to uncontrollable load increment, line and generator outage contingencies or unplanned load curtailment. Optimal reactive power dispatch involving reactive power support can be one of the options for improving voltage stability of a power system, which also requires optimization process. Optimal sizing and location can of reactive power support can avoid the system from experiencing over-compensated or under-compen

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Mohamad, Khairuzzaman Mohamad Zamani, Musirin Ismail, Sabri Omar Mohamad, Izwan Suliman Saiful, Azura Md. Ghani Nor, and Azwan Mohamed Kamari Nur. "Gravitational Search Algorithm Based Technique for Voltage Stability Improvement." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 1 (2018): 123–30. https://doi.org/10.11591/ijeecs.v9.i1.pp123-130.

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Voltage instability problem has been known as a significant threat to power system operation since its occurrence can lead to power interruption. This phenomenon can be due to uncontrollable load increment, line and generator outage contingencies or unplanned load curtailment. Optimal reactive power dispatch involving reactive power support can be one of the options for improving voltage stability of a power system, which also requires optimization process. Optimal sizing and location can of reactive power support can avoid the system from experiencing over-compensated or under-compensated phe

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Li, Chaoshun, Jianzhong Zhou, Jian Xiao, and Han Xiao. "Parameters identification of chaotic system by chaotic gravitational search algorithm." Chaos, Solitons & Fractals 45, no. 4 (2012): 539–47. http://dx.doi.org/10.1016/j.chaos.2012.02.005.

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Purwoharjono, Purwoharjono Purwoharjono. "Penerapan Metode Gravitational Search Algorithm Menggunakan Static VAR Compensator." Jurnal Sistem dan Teknologi Informasi (JustIN) 10, no. 1 (2022): 175. http://dx.doi.org/10.26418/justin.v10i1.50575.

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Penerapan metode Gravitational Search Algorithm (GSA) ini bertujuan memperbaiki profil tegangan tenaga listrik menggunakan Static VAR Compensator (SVC). Penelitian ini dibandingkan hasil simulasi sebelum pemasangan SVC menggunakan metode Newton Raphson (NR) dan sesudah pemasangan SVC menggunakan metode GSA. Lokasi implementasi penelitian ini adalah system kelistrikan Jawa-Bali 500 kV. Hasil simulasi sesudah pemasangan SVC menggunakan metode GSA ini lebih baik dibandingkan dengan hasil simulasi sebelum pemasangan SVC menggunakan metode NR. Hasil simulasi sesudah pemasangan SVC menggunakan metod

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