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Relevant bibliographies by topics / Distributed generation placement

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Academic literature on the topic 'Distributed generation placement'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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Journal articles on the topic "Distributed generation placement"

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Haghifam, M. R., H. Falaghi, and O. P. Malik. "Risk-based distributed generation placement." IET Generation, Transmission & Distribution 2, no. 2 (2008): 252. http://dx.doi.org/10.1049/iet-gtd:20070046.

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Kumar, Mahesh, Bhagwan Das, Mazhar Hussain Baloch, Perumal Nallagownden, Irraivan Elamvazuthi, and Abid Ali. "Optimal Placement and Sizing of Distributed Generators and Distributed-Static Compensator in Radial Distribution System." International Journal of Energy Optimization and Engineering 8, no. 1 (2019): 47–66. http://dx.doi.org/10.4018/ijeoe.2019010103.

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The electricity demand increment, fossil fuel depletion, and environmental degradation open the interest of power utilities to utilize the distributed generation (DG) and distributed-static compensator (DSTATCOM) in the distribution system. The optimal placement and sizing of these generations have positive benefits, whereas non-optimal placement and size may worsen the existing operational characteristics of the distribution system. Therefore, this article presents a new methodology for optimal placement and sizing of distributed generation and distributed-static compensator in a radial distr

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Chen, Xiaodao, and Shiyan Hu. "Distributed Generation Placement for Power Distribution Networks." Journal of Circuits, Systems and Computers 24, no. 01 (2014): 1550009. http://dx.doi.org/10.1142/s0218126615500097.

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Growing concerns on the energy crisis impose great challenges in development and deployment of the smart grid technologies into the existing electrical power system. A key enabling technology in smart grid is distributed generation, which refers to the technology that power generating sources are located in a highly distributed fashion and each customer is both a consumer and a producer for energy. An important optimization problem in distributed generation design is the insertion of distributed generators (DGs), which are often renewable resources exploiting e.g., photovoltaic, hydro, wind, o

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Bagas Sastra Negara, I. Made, Ngakan Putu Satriya Utama, and Cok Gede Indra Partha. "OPTIMASI PENEMPATAN DISTRIBUTED GENERATION PADA PENYULANG GOA LAWAH MENGGUNAKAN METODE PARTICLE SWARM OPTIMIZATION (PSO)." Jurnal SPEKTRUM 5, no. 2 (2018): 74. http://dx.doi.org/10.24843/spektrum.2018.v05.i02.p10.

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Distributed Generation (DG) is a small-scale power plant located close to the center of load. Goa Lawah feeder is a broadcast that is close to the potential of DG namely the Mini Hydro Power Plant on the Unda River in Klungkung Regency. In this research the optimization of Distributed Generation placement to Goa Lawah feeder. Optimization of Distributed Generation placement aims to reduce the value of loss of power that exist in the feeder Goa Lawah. The results of the research obtained at the point of bus 123 by Distributed Generation placement using Particle Swarm Optimization (PSO) method,

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Rekha and Channappa Byalihal Shankaralingappa. "Optimal allocation of solar and wind distributed generation using particle swarm optimization technique." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 1 (2023): 229–37. https://doi.org/10.11591/ijece.v13i1.pp229-237.

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Power demand in the current days is increasing more and more where the conventional power generation systems are failing to meet these power demands due to less availability of non-renewable resources. Hence, many of the researchers are working on the distributed generation (DG) by using renewable resources like wind and solar. The penetration towards wind, solar DG faced challenging situations during power generation due to uncertainty in the wind speed and solar radiation. Recent studies have predicted that the combination of both solar and wind can lead to better performance. However, the s

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KUMAR SAMALA, Rajesh, and Mercy ROSALINA KOTAPUTI. "Multi distributed generation placement using ant-lion optimization." European Journal of Electrical Engineering 19, no. 5-6 (2017): 253–67. http://dx.doi.org/10.3166/ejee.19.256-267.

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Naga Lakshmi, G. V., A. Jayalaxmi, and Venkataramana Veeramsetty. "Optimal placement of distributed generation using firefly algorithm." IOP Conference Series: Materials Science and Engineering 981 (December 5, 2020): 042060. http://dx.doi.org/10.1088/1757-899x/981/4/042060.

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Bidram, A., M. E. H. Golshan, and A. Davoudi. "Distributed generation placement considering first swing stability margin." Electronics Letters 48, no. 12 (2012): 724. http://dx.doi.org/10.1049/el.2012.0053.

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Pavani, N. Anjani, and K. Swarnasri. "Optimal Placement of Distributed Generation in Distribution Networks." HCTL Open International Journal of Technology Innovations and Research (IJTIR) 24, April 2017 (2017): 8–21. https://doi.org/10.5281/zenodo.571596.

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Due to the restructuring in electricity market and environmental concerns penetration level of DG unit has been increased rapidly. It is also playing a significant role in minimization of line losses of a power system network. So it is very important to define the size and location of distributed generation unit to be allocated in a power system network. On the other hand, due to radial distribution systems basic inherent features such as radial structure, a wide range of 𝑿/𝑹ratios, and a large number of nodes. The optimal sizing and sitting problem of a DG unit cannot be determined by the con

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Shah, Mohazzem Hossain, and Hasib Chowdhury Abdul. "Multi-objective optimal placement of distributed generations for dynamic loads." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 4 (2019): 2303–13. https://doi.org/10.11591/ijece.v9i4.pp2303-2313.

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Large amount of active power losses and low voltage profile are the two major issues concerning the integration of distributed generations with existing power system networks. High R/X ratio and long distance of radial network further aggravates the issues. Optimal placement of distributed generators can address these issues significantly by alleviating active power losses and ameliorating voltage profile in a cost effective manner. In this research, multi-objective optimal placement problem is decomposed into minimization of total active power losses, maximization of bus voltage profile enhan

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Dissertations / Theses on the topic "Distributed generation placement"

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Chen, Xi. "Study of distributed generation placement in MATLAB a thesis presented to the faculty of the Graduate School, Tennessee Technological University /." Click to access online, 2008. http://proquest.umi.com/pqdweb?index=0&did=1679681681&SrchMode=1&sid=3&Fmt=6&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1268942464&clientId=28564.

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Ratul, Saiful A. "Optimal DG Placement: A Multimethod Analysis." ScholarWorks@UNO, 2016. http://scholarworks.uno.edu/td/2269.

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With Power System being restructured in the vision of Smart Grid, it is important now more than ever to find suitable locations to place Distributed Generators (DG). Distributed generators, which may be renewable, are not limited to specific locations as in the case of conventional generators. Several papers have been published that make suggestions on where the optimal location of DG should be in a system. Objectives ranging from loss minimization to total cost minimization have been the factor for such studies. In this study, a new method is introduced that hopes to improve a current system

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Michel, André Bernardes. "Alocação de bancos de capacitores e reguladores de tensão usando otimização por metas considerando geração distribuída." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/118829.

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Sistemas de Distribuição de Energia Elétrica (SDEE) estão, pelas próprias condições de funcionamento, sujeitos a perdas de energia e quedas nos níveis de tensão. Uma das formas de reduzir as perdas e ao mesmo tempo melhorar o perfil de tensão do SDEE consiste na utilização de bancos de capacitores e reguladores de tensão ao longo dos alimentadores. Para isto a alocação ótima destes equipamentos torna-se de fundamental importância, logo este trabalho tem por objetivo a utilização de um método quadrático de programação por metas multiobjetivo para a ótima alocação desses equipamentos visando a r

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Zhang, Boyi. "Distribution network automation for multi-objective optimisation." Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/distribution-network-automation-for-multiobjective-optimisation(4d04be21-2ac5-4891-8bcf-9b8ed6532043).html.

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Asset management and automation are acknowledged by distribution utilities as a useful strategy to improve service quality and reliability. However, the major challenge faced by decision makers in distribution utilities is how to achieve long-term return on the projects while minimising investment and operation costs. Distribution automation (DA) in terms of transformer economic operation (TEO), distribution network reconfiguration (DNR), and sectionalising switch placement (SSP) is recognised as the most effective way for distribution network operators (DNOs) to increase operation efficiency

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Yang, Xun. "Optimal generator placement in a distributed network." Thesis, Yang, Xun (2016) Optimal generator placement in a distributed network. Honours thesis, Murdoch University, 2016. https://researchrepository.murdoch.edu.au/id/eprint/33968/.

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Since the industrial and residential huge demand for electricity, as well as higher requirements for the electricity reliability and power quality. Meanwhile, the world has been in the energy crisis, the power shortage, and a large area often experienced blackouts accident. All exposed the deficiencies of ‘centralized power’. Thus, the approaches of reducing active power loss in power systems have become increasingly important. Among them, the method of the optimal location and size of distribution generators in a distributed network is one of the most prospective approaches in the future.

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HASSAINE, FAWZI. "Placement de donnees et generation de code automatique pour les multiprocesseurs a memoire distribuee." Paris 6, 1993. http://www.theses.fr/1993PA066382.

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L'utilisation des multiprocesseurs a memoires distribuees reste freinee par leur difficulte de programmation. L'approche classique pour ce faire consiste en une intervention du programmeur afin qu'il specifie une distribution des donnees sur les processeurs. Du code spmd est par la suite genere localement en tenant compte de la regle d'ecriture locale seulement, c'est le parallelisme dirige par les donnees. Nous pensons cependant que les deux notions de parallelisme du code et des donnees se recouvrent souvent, et qu'il serait possible a partir d'un programme ou le parallelisme est exprime au

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Guarda, Fernando Guilherme Kaehler. "Metodologia híbrida para alocação, coordenação, dimensionamento e adequação do sistema de proteção em sistemas de distribuição de energia elétrica com geração distribuída diretamente acoplada." Universidade Federal de Santa Maria, 2017. http://repositorio.ufsm.br/handle/1/12186.

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This work aims to allocate, size and coordinate protective devices in electric power systems with directly coupled distributed generation and also to adequate protection systems to accommodate these sources. Currently, it is possible to observe distributed generation penetration growth in distribution systems, being encouraged by new laws and implementation costs reduction, the last one due to technological maturity. Dispersed generation brings several benefits in electric networks operation such as: reduction of technical losses, voltage profiles maintenance, increase in energy quality, etc.

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Liau, Wen-Guo, and 廖文國. "Distributed Generation Placement for ImprovingDistribution Network Utilization and Expansion." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/93458471823603816906.

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碩士<br>國立高雄海洋科技大學<br>輪機工程研究所<br>98<br>The problem of distribution systems expansion planning consists of determining the appropriate type, capacity of the reinforcement to be installed in the network, taking into consideration the demand to be attended according to geographical, political and economical characteristics. In an open electricity market scenario, the connection of distributed generation (DG) units that employ smaller generators producing electricity from renewable energy sources or small-scale combined heat and power plants must be included within the expansion alternatives in orde

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Tsai, Feng-jeng, and 蔡豐正. "A Study on Optimal Placement and Penetration Levels of Distributed Generation Systems." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/84730784135601353981.

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碩士<br>國立成功大學<br>電機工程學系碩博士班<br>95<br>Since distributed generation systems (DGS) have become more important in power systems, impacts on power system due to connection of DGS are concerned. The related analyzed results of DGS connection are also the key points of this thesis. In this thesis, the objective function and the concept of power flow are first used to determine the optimal placement of DGS in a connected power network. Secondly, the radial distribution system is employed to analyze the penetration levels of the studied DGS and calculate the effects of DGS under different factors such a

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Darfoun, Mohamed. "OPTIMAL DISTRIBUTED GENERATION SIZING AND PLACEMENT VIA SINGLE- AND MULTI-OBJECTIVE OPTIMIZATION APPROACHES." 2013. http://hdl.handle.net/10222/31423.

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Numerous advantages attained by integrating Distributed Generation (DG) in distribution systems. These advantages include decreasing power losses and improving voltage profiles. Such benefits can be achieved and enhanced if DGs are optimally sized and located in the systems. In this thesis, the optimal DG placement and sizing problem is investigated using two approaches. First, the optimization problem is treated as single-objective optimization problem, where the system’s active power losses are considered as the objective to be minimized. Secondly, the problem is tackled as a multi-objective

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Book chapters on the topic "Distributed generation placement"

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Kashyap, Mohan, Ankit Mittal, and Satish Kansal. "Optimal Placement of Distributed Generation Using Genetic Algorithm Approach." In Lecture Notes in Electrical Engineering. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8234-4_47.

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Bouhouras, Aggelos S., Paschalis A. Gkaidatzis, and Dimitris P. Labridis. "Optimal Distributed Generation Placement Problem for Power and Energy Loss Minimization." In Electric Distribution Network Planning. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7056-3_8.

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Maurya, Priyanka, and Prabhakar Tiwari. "Placement and Sizing of Distributed Generation Using MELGWO Algorithm in Distribution Networks." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-0047-2_32.

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Mishra, Sujeet, Abhishek Kumar, Devender Singh, and Rakesh Kumar Misra. "Butterfly Optimizer for Placement and Sizing of Distributed Generation for Feeder Phase Balancing." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1135-2_39.

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Godha (Dagade), Nisha R., V. N. Bapat, and Iranna Korachagaon. "Placement of Distributed Generation in Distribution Networks: A Survey on Different Heuristic Methods." In Techno-Societal 2018. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16848-3_64.

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Abbas, Ahmed S., Adel Ali Mohamed Abou El-Ela, Ragab A. El-Sehiemy, and Adel A. Elbaset. "Optimal Placement and Sizing of Distributed Generation and Capacitor Banks in Distribution Systems." In Power Quality Enhancement using Artificial Intelligence Techniques. CRC Press, 2023. http://dx.doi.org/10.1201/9781003369448-5.

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Malika, Binaya Kumar, Vivekananda Pattanaik, Sarthak Mohanty, Binod Kumar Sahu, and Pravat Kumar Rout. "A Detailed Review of the Optimal Distributed Generation Placement in Smart Power Distribution Systems." In Lecture Notes in Networks and Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0695-3_10.

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Nayak, Manas R., Subrat K. Dash, and Pravat Kumar Rout. "Optimal Placement and Sizing of Distributed Generation in Radial Distribution System Using Differential Evolution Algorithm." In Swarm, Evolutionary, and Memetic Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35380-2_17.

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Rai, Rajesh, Roshan Dahal, Kinley Wangchuk, Sonam Dorji, K. Praghash, and S. Chidambaram. "Optimal Sizing and Placement of Distributed Generation in Eastern Grid of Bhutan Using Genetic Algorithm." In Hybrid Intelligent Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-27409-1_76.

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Subramanyam, T. C., S. S. Tulasi Ram, and J. B. V. Subrahmanyam. "Optimal Placement and Sizing of DG in a Distributed Generation Environment with Comparison of Different Techniques." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7868-2_58.

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Conference papers on the topic "Distributed generation placement"

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Gautam, Aranya, Priyanka Paliwal, and Anoop Arya. "Efficient Placement of Distributed Generation for Loss Minimization via PSO Optimization." In 2024 IEEE 3rd International Conference on Electrical Power and Energy Systems (ICEPES). IEEE, 2024. http://dx.doi.org/10.1109/icepes60647.2024.10653475.

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Mahanta, Smrutirekha, and Manoj Kumar Maharana. "Leveraging CMAESAO for Optimal Distributed Generation Placement and Sizing in Modern Power Systems." In 2024 2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES). IEEE, 2024. https://doi.org/10.1109/scopes64467.2024.10991004.

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Mousaei, Arash, and Yahya Naderi. "Predicting Optimal Placement of Electric Vehicle Charge Stations Using Machine Learning: A Case Study in Glasgow, UK." In 2025 12th Iranian Conference on Renewable Energies and Distributed Generation (ICREDG). IEEE, 2025. https://doi.org/10.1109/icredg66184.2025.10966078.

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Norouzmahani, Amirsaleh, Sina Shakeri, Amin Mahmoudi, Solmaz Kahourzade, Md Apel Mahmud, and Saeid Esmaeili. "A Cost-Effective Method for Capacitor Placement Considering Volt-Var Optimization and Voltage Sags." In 2025 IEEE 16th International Symposium on Power Electronics for Distributed Generation Systems (PEDG). IEEE, 2025. https://doi.org/10.1109/pedg62294.2025.11060385.

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Chernykh, I., D. Chechushkov, and T. Panikovskaya. "Optimal placement units of distributed generation." In ENERGY QUEST 2014. WIT Press, 2014. http://dx.doi.org/10.2495/eq140431.

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Binh, Phan Thi Thanh, Nguyen Huu Quoc, Phan Quoc Dung, and Le Dinh Khoa. "Multi objective placement of distributed generation." In 2010 4th International Power Engineering and Optimization Conference (PEOCO). IEEE, 2010. http://dx.doi.org/10.1109/peoco.2010.5559156.

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Kulko, Tetiana, Vadim Bodunov, Anatoliy Prystupa, and Alexander Gai. "Placement of distributed generation considering topology." In 2017 IEEE International Young Scientists Forum on Applied Physics and Engineering (YSF). IEEE, 2017. http://dx.doi.org/10.1109/ysf.2017.8126587.

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Zhang Jun-fang, Ding Si-min, Hang Yin-li, and Hu Guang. "Research on distributed generation source placement." In 2009 International Conference on Sustainable Power Generation and Supply. SUPERGEN 2009. IEEE, 2009. http://dx.doi.org/10.1109/supergen.2009.5347869.

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Vizhiy, S. Aruul, and R. K. Santhi. "Biogeography based optimal placement of distributed generation units in distribution networks: Optimal placement of distributed generation units." In 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). IEEE, 2016. http://dx.doi.org/10.1109/iceeot.2016.7755092.

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Vukobratovic, Marko, Zeljko Hederic, and Miralem Hadziselimovic. "Optimal Distributed Generation placement in distribution network." In 2014 IEEE International Energy Conference (ENERGYCON). IEEE, 2014. http://dx.doi.org/10.1109/energycon.2014.6850572.

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