Relevant bibliographies by topics / Gravitational search algorithm distribution system

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Gravitational search algorithm distribution system'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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

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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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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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Dissertations / Theses on the topic "Gravitational search algorithm distribution system"

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Marques, Leandro Tolomeu. "Restabelecimento de energia em sistemas de distribuição considerando aspectos práticos." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/18/18154/tde-26072018-134924/.

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No contexto da operação de sistemas de distribuição, um dos problemas com os quais os operadores lidam frequentemente é o de restabelecimento de energia. Este problema surge na ocorrência de uma falta permanente e pode ser tratado por meio de manobras em chaves presentes na rede primária. Uma vez que tais redes operam com topologia radial, a ocorrência de uma falta pode resultar no desligamento de consumidores saudáveis. Desta maneira, o problema consiste em definir, num curto intervalo de tempo, um número mínimo de chaves que devem ser operadas a fim de isolar a falta e restaurar o máximo de
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Tu, Jian-Fu, and 杜建甫. "The Optimal Loading Distribution of Air-Condition System by Simulated Annealing and Harmony Search Algorithm." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/et64mr.

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碩士<br>國立臺北科技大學<br>能源與冷凍空調工程系碩士班<br>102<br>In order to reach the optimal air-conditioning, it is necessary to consider all controllable equipmentsuch as chiller plant, chiller pumps, cooling water pumps and cooling towers.If all equipment collocations of low energy consumption are founded and demand ofrefrigerationcapacity is satisfied, the optimal load distribution of air conditioning can be reached.Therefore, this study used Simulated Annealing(SA) and Harmony Search(HS) to find the optimal load distribution and compared with the traditional Equal Loading Distribution method (ELD) to develop
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He, Jiun-De, and 何俊德. "A Study of Inventory Routing Problem with Simultaneous Pickup and Delivery for the Distribution System by Applying Hybrid ImmunityTabu Search Algorithm." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/04913715281153259421.

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碩士<br>龍華科技大學<br>資訊管理系碩士班<br>100<br>Most literatures of Inventory-Routing problems find the solutions by simulation, rather than solve the real case problem of logistics firms. Furthermore, few of them consider pickup and delivery problems at the same time. Therefore, this research applies a real publishing logistics firm’s operating data to study the Inventory-Routing problem with simultaneous pickup and delivery (IRPSPD). We first develop a mathematical model for this proposed Inventory-Routing problem with simultaneous pickup and delivery (IRPSPD), then apply Savings method, 2-opt heuristic
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Book chapters on the topic "Gravitational search algorithm distribution system"

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Arya, Aadesh Kumar, Atma Ram Gupta, Govind Rai Goyal, and Ashwani Kumar Sharma. "Harmonic Reduction for Smart Distribution Network with D-STATCOM and DG Using Gravitational Search Algorithm." In Energy Systems in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0979-5_31.

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Goli, Preetham, Srikanth Yelem, Kiran Jasthi, Srinivasa Rao Gampa, and D. Das. "Optimum Placement of Battery Energy Storage Systems and Solar PV Units in Distribution Networks Using Gravitational Search Algorithm." In Atlantis Highlights in Intelligent Systems. Atlantis Press International BV, 2022. http://dx.doi.org/10.2991/978-94-6239-266-3_11.

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Goli, Preetham, Srikanth Yelem, Kiran Jasthi, Srinivasa Rao Gampa, and D. Das. "Optimum Placement of Battery Energy Storage Systems and Solar PV Units in Distribution Networks Using Gravitational Search Algorithm." In Atlantis Highlights in Intelligent Systems. Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-074-9_11.

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Olivas, Frumen, Fevrier Valdez, and Oscar Castillo. "Gravitational Search Algorithm with Parameter Adaptation Through a Fuzzy Logic System." In Nature-Inspired Design of Hybrid Intelligent Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47054-2_26.

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Behjat, Amir Rajabi, Aida Mustapha, Hossein Nezamabadi–pour, Md Nasir Sulaiman, and Norwati Mustapha. "Feature Subset Selection Using Binary Gravitational Search Algorithm for Intrusion Detection System." In Intelligent Information and Database Systems. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36543-0_39.

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Sahu, Rabindra Kumar, Umesh Kumar Rout, and Sidhartha Panda. "Automatic Generation Control of Multi-area Power System Using Gravitational Search Algorithm." In Swarm, Evolutionary, and Memetic Computing. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03753-0_48.

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Cuevas, Erik, Jorge Gálvez, and Omar Avalos. "Gravitational Search Algorithm for Non-linear System Identification Using ANFIS-Hammerstein Approach." In Studies in Computational Intelligence. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28917-1_5.

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Ojha, Muneendra. "Optimizing Supply Chain Management Using Gravitational Search Algorithm and Multi Agent System." In Advances in Intelligent and Soft Computing. Springer India, 2012. http://dx.doi.org/10.1007/978-81-322-0487-9_47.

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Jubair Ahmed, L., B. Anish Fathima, S. Dhanasekar, and K. Martin Sagayam. "Modeling of Fuzzy Logic-Based Classification System Using the Gravitational Search Algorithm." In Studies in Big Data. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0924-5_5.

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Shahri, Bibi Masoomeh Aslahi, Saeed Khorashadi Zadeh, Ikuesan R. Adeyemi, and Anazida Zainal. "Comparative Analysis of Gravitational Search Algorithm and K-Means Clustering Algorithm for Intrusion Detection System." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00951-3_29.

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Conference papers on the topic "Gravitational search algorithm distribution system"

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Li, Jiahao, Dinavi Lia, Tao Luo, and Jie Zhou. "Novel Methods for Smart Grid Intrusion Detection System Using Feature Selection Based on Improved Gravitational Search Algorithm." In 2024 9th International Conference on Automation, Control and Robotics Engineering (CACRE). IEEE, 2024. http://dx.doi.org/10.1109/cacre62362.2024.10635055.

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Datta, Suchana, Sadhan Gope, Diptanu Das, Raj Chakraborty, and Punam Das. "Active Power Loss Minimization in IEEE-33 Distribution Bus System by Symbiotic Organisms Search Algorithm." In 2024 IEEE Students Conference on Engineering and Systems (SCES). IEEE, 2024. http://dx.doi.org/10.1109/sces61914.2024.10652464.

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Pramudhita, Faizal Dian, Imam Robandi, Ardyono Priyadi, Mohamad Almas Prakasa, and Muhammad Ruswandi Djalal. "Hybrid Tuning for Parameters of Power System Stabilizer and Virtual Inertia Based on Super Conducting Magnetic Energy Storage Using Gravitational Search Algorithm." In 2024 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM). IEEE, 2024. https://doi.org/10.1109/cenim64038.2024.10882670.

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Zhou, Ning, Yujian Lin, Cong Dai, Rong Si, Jidong Wang, and Qipeng He. "An Adaptive Method of Distribution Network Branch Switch Protection Setting Calculation Based on Modified Depth First Search Algorithm." In 2024 International Conference on New Power System and Power Electronics (NPSPE). IEEE, 2024. https://doi.org/10.1109/npspe62515.2024.00032.

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Mageshvaran, R., T. Shankar, and D. Ramaprabha. "Optimal load shedding for radial distribution system using improved gravitational search algorithm." In 2017 Innovations in Power and Advanced Computing Technologies (i-PACT). IEEE, 2017. http://dx.doi.org/10.1109/ipact.2017.8245088.

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"Optimal Placement and Sizing of DSTATCOM in Radial Distribution System Using Gravitational Search Algorithm." In Systems Approach for Self-Reliance in Advanced Technologies. BS Publications, 2023. http://dx.doi.org/10.37285/bsp.sasat2023.53.

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Tripathi, D. P., and U. R. Jena. "Vector codebook design using gravitational search algorithm." In 2016 International conference on Signal Processing, Communication, Power and Embedded System (SCOPES). IEEE, 2016. http://dx.doi.org/10.1109/scopes.2016.7955500.

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Vedik, B., and Ashwani Kumar Chandel. "Power system state estimation using gravitational search algorithm." In 2015 International Conference on Computer and Computational Sciences (ICCCS). IEEE, 2015. http://dx.doi.org/10.1109/iccacs.2015.7361318.

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Wang, Jiarong, Yu Huang, and Weiping Liang. "Chaotic System Parameter Estimation with Improved Gravitational Search Algorithm." In Proceedings of the 2014 Congress on IEMDA 2014 & Proceedings of the 2nd Congress on CCSA 2014. WORLD SCIENTIFIC, 2015. http://dx.doi.org/10.1142/9789814689007_0051.

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Balamurugan, R., S. Duraimurugan, A. Sakthi Tamil Arasu, and P. Gokul. "Gravitational Search Algorithm based System for Piezoelectric Energy Generation." In 2023 Second International Conference on Electronics and Renewable Systems (ICEARS). IEEE, 2023. http://dx.doi.org/10.1109/icears56392.2023.10085003.

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