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Journal articles on the topic 'Optimal siting'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Feliachi, A. "Optimal siting of power system stabilisers." IEE Proceedings C Generation, Transmission and Distribution 137, no. 2 (1990): 101. http://dx.doi.org/10.1049/ip-c.1990.0014.

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Lescop, Denis. "Optimal mechanisms for siting noxious facilities." Review of Economic Design 10, no. 4 (2006): 273–84. http://dx.doi.org/10.1007/s10058-006-0018-8.

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3

Cetinay, Hale, Fernando A. Kuipers, and A. Nezih Guven. "Optimal siting and sizing of wind farms." Renewable Energy 101 (February 2017): 51–58. http://dx.doi.org/10.1016/j.renene.2016.08.008.

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Venkatesh, B., and H. B. Gooi. "Optimal Siting of United Power Flow Controllers." Electric Power Components and Systems 34, no. 3 (2006): 271–84. http://dx.doi.org/10.1080/15325000500240870.

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5

Liu, Ben, Jie Tang, Yunke Qu, et al. "A GIS-Based Method for Identification of Blindness in Former Site Selection of Sewage Treatment Plants and Exploration of Optimal Siting Areas: A Case Study in Liao River Basin." Water 14, no. 7 (2022): 1092. http://dx.doi.org/10.3390/w14071092.

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With regard to environmental facilities, blindness and the subjectivity of site selection lead to serious economic, engineering and social problems. A proper siting proposal often poses a challenge to local governments, as multiple factors should be considered, such as costs, construction conditions and social impact. How to make the optimal siting decision has become a topical issue in academic circles. In order to enrich the framework of site selection models, this study combined GIS, AHP and Remote Sensing (RS) technologies to conduct siting suitability analysis of sewage treatment plants,

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Liu, Yang, Alison Sim, and Meagan S. Mauter. "Energy-Optimal Siting of Decentralized Water Recycling Systems." Environmental Science & Technology 55, no. 22 (2021): 15343–50. http://dx.doi.org/10.1021/acs.est.1c04708.

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Serrano González, Javier, Manuel Burgos Payán, Jesús Manuel Riquelme Santos, and Ángel Gaspar González Rodríguez. "Optimal Micro-Siting of Weathervaning Floating Wind Turbines." Energies 14, no. 4 (2021): 886. http://dx.doi.org/10.3390/en14040886.

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This paper presents a novel tool for optimizing floating offshore wind farms based on weathervaning turbines. This solution is grounded on the ability of the assembly (wind turbine plus floater) to self-orientate into the wind direction, as this concept is allowed to freely pivot on a single point. This is a passive yaw potential solution for floating wind farms currently in the demonstration phase. A genetic algorithm is proposed for optimizing the levelised cost of energy by determining the geographical coordinates of the pivot points (i.e., the position over which the assembly can rotate to

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Li, Hong Kai, Ming Jun Lv, and Jian Guo Liu. "Distribution Substation Site Planning Method Summary and Discussion." Applied Mechanics and Materials 620 (August 2014): 158–61. http://dx.doi.org/10.4028/www.scientific.net/amm.620.158.

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The substation location is an important part of network planning . In this Paper, the optimal siting and site optimization mathematical model of classification are introduced , and the methods used in substation siting analyze many algorithms for a more comprehensive overview ; Finally,we offer some suggestions for the method of substation power market environment devlopment research .

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Wesley, Dansarki Nanly, Abubakar Abdulkarim, P. U. Okorie, et al. "A Review on Optimal Siting and Sizing of DSTATCOM." Journal of Applied Materials and Technology 3, no. 1 (2022): 30–42. http://dx.doi.org/10.31258/jamt.3.1.30-42.

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The continuous demand for electrical energy by industries and domestic users have stressed the electricity consumption to a high level. Because most components of domestic and industrial systems are made of power electronics devices in their designs. In addition, modern electrical power distribution networks (DNs) are subjected to major disturbances. Consequently, today’s power system is laden with power quality problems such as excessive energy losses, voltage deviations, poor power factor (PF), voltage instability and reliability issues to mentioned just a few. To forestall these disturbance

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Albers, H. J., L. Preonas, T. Capitán, E. J. Z. Robinson, and R. Madrigal-Ballestero. "Optimal Siting, Sizing, and Enforcement of Marine Protected Areas." Environmental and Resource Economics 77, no. 1 (2020): 229–69. http://dx.doi.org/10.1007/s10640-020-00472-7.

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11

Yan, Shuchang, Yu Zheng, and David John Hill. "Frequency Constrained Optimal Siting and Sizing of Energy Storage." IEEE Access 7 (2019): 91785–98. http://dx.doi.org/10.1109/access.2019.2927024.

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12

Alamelu, Somasundaram, S. Baskar, C. K. Babulal, and S. Jeyadevi. "Optimal siting and sizing of UPFC using evolutionary algorithms." International Journal of Electrical Power & Energy Systems 69 (July 2015): 222–31. http://dx.doi.org/10.1016/j.ijepes.2014.12.081.

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13

Chen, Wenjin, Gang Qian, Weiwen Qi, Gang Luo, Lin Zhao, and Xiaoling Yuan. "Layout Method of Met Mast Based on Macro Zoning and Micro Quantitative Siting in a Wind Farm." Processes 10, no. 9 (2022): 1708. http://dx.doi.org/10.3390/pr10091708.

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In order to promote the wind monitoring accuracy and provide a quantitative planning method for met mast layout in practical projects, this paper proposes a two-stage layout method for met mast based on discrete particle swarm optimization (DPSO) zoning and micro quantitative siting. Firstly, according to the wind turbines layout, rotational empirical orthogonal function and hierarchical clustering methods are used to preliminarily determine zoning number. Considering the geographical proximity of wind turbines and the correlation of wind speed, an optimal macro zoning model of wind farm based

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14

Lamedica, Regina, Alessandro Ruvio, Laura Palagi, and Nicola Mortelliti. "Optimal Siting and Sizing of Wayside Energy Storage Systems in a D.C. Railway Line." Energies 13, no. 23 (2020): 6271. http://dx.doi.org/10.3390/en13236271.

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The paper proposes an optimal siting and sizing methodology to design an energy storage system (ESS) for railway lines. The scope is to maximize the economic benefits. The problem of the optimal siting and sizing of an ESS is addressed and solved by a software developed by the authors using the particle swarm algorithm, whose objective function is based on the net present value (NPV). The railway line, using a standard working day timetable, has been simulated in order to estimate the power flow between the trains finding the siting and sizing of electrical substations and storage systems suit

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Corigliano, Silvia, Federico Rosato, Carla Ortiz Dominguez, and Marco Merlo. "Clustering Techniques for Secondary Substations Siting." Energies 14, no. 4 (2021): 1028. http://dx.doi.org/10.3390/en14041028.

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The scientific community is active in developing new models and methods to help reach the ambitious target set by UN SDGs7: universal access to electricity by 2030. Efficient planning of distribution networks is a complex and multivariate task, which is usually split into multiple subproblems to reduce the number of variables. The present work addresses the problem of optimal secondary substation siting, by means of different clustering techniques. In contrast with the majority of approaches found in the literature, which are devoted to the planning of MV grids in already electrified urban are

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16

Sun, Tao, Linjun Zeng, Feng Zheng, Ping Zhang, Xinyao Xiang, and Yiqiang Chen. "Two-Layer Optimization Model for the Siting and Sizing of Energy Storage Systems in Distribution Networks." Processes 8, no. 5 (2020): 559. http://dx.doi.org/10.3390/pr8050559.

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One of the most important issues that must be taken into consideration during the planning of energy storage systems (ESSs) is improving distribution network economy, reliability, and stability. This paper presents a two-layer optimization model to determine the optimal siting and sizing of ESSs in the distribution network and their best compromise between the real power loss, voltage stability margin, and the application cost of ESSs. Thereinto, an improved bat algorithm based on non-dominated sorting (NSIBA), as an outer layer optimization model, is employed to obtain the Pareto optimal solu

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17

Ioannidis, Dimitris, and Dimitra G. Vagiona. "Optimal Wind Farm Siting Using a Fuzzy Analytic Hierarchy Process: Evaluating the Island of Andros, Greece." Sustainability 16, no. 10 (2024): 3971. http://dx.doi.org/10.3390/su16103971.

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In recent decades, fuzzy logic and fuzzy multi-criteria decision-making systems have been applied in several fields. This paper aims to determine the optimal wind farm siting solution in a fuzzy environment. Therefore, the main research question of the present paper is whether and to what extent the uncertainty in the researcher’s judgments affects the ranking of wind farm siting solutions. The fuzzy analytical hierarchy method is applied to an existing case study of wind farm siting on the island of Andros, examining the stability of the final priorities of the alternatives under a regime of

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18

Gusev, S. A. "SITING OF RESCUE SERVICES NEAR ONE-SIDED TRANSPORT HUB." World of Transport and Transportation 16, no. 3 (2018): 208–18. http://dx.doi.org/10.30932/1992-3252-2018-16-3-19.

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For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version).ABSTRACT When designing social facilities, it is important to choose a right location for them, to make it easier for them to perform their functions in the allotted area. In the works of the author [1-5], the problems of the optimal allocation of resources associated with traffic safety programs in transport are being studied. In works [7-8] an optimal location of rescue services with a normal and uniform distribution of transport hubs is found. The article deals wi

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19

Grilli, Annette Renee, Malcolm Spaulding, Christopher O'Reilly, and Gopu Potty. "OFFSHORE WIND FARM MACRO AND MICRO SITING PROTOCOL APPLICATION TO RHODE ISLAND." Coastal Engineering Proceedings 1, no. 33 (2012): 73. http://dx.doi.org/10.9753/icce.v33.management.73.

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Since 2008, the Rhode Island (RI) Coastal Resources Management Council has been leading the development of an Ocean Special Area Management Plan (Ocean SAMP), in partnership with the University of Rhode Island, resulting in an extensive multidisciplinary analysis of the Rhode Island offshore environment and its suitability to site offshore wind farms. As part of SAMP, a comprehensive macro-siting optimization tool: the Wind Farm Siting Index (WIFSI), integrating technical, societal, and ecological constraints, was developed within the conceptual framework of ecosystem services. WIFSI uses mult

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20

Diccion, Antonio Jr L., and Jeffrey Z. Duran. "Regional Framework Towards Establishing Treatment, Storage, and Disposal (TSD) Facilities for PV Waste Management in the Philippines: A Case Study of Laguna Province." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-5-2024 (November 11, 2024): 49–56. http://dx.doi.org/10.5194/isprs-annals-x-5-2024-49-2024.

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Abstract. The accelerated adoption of photovoltaic (PV) systems for renewable power generation in the Philippines will yield a tremendous amount of PV waste. However, the country lacks a comprehensive framework for understanding PV module waste volume growth and optimally siting Treatment, Storage, and Disposal (TSD) facilities for PV waste management based on minimum siting factor. The study aims to develop a regional framework that utilizes a geographic information system (GIS)-based approach to find the potential sites and optimal locations of TSD facilities in Laguna, Philippines, based on

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21

Ranjbari, Mohammad Hossein, Abolfazl Shaheri, Rezvaneh Dalili, and Rahman Soroush. "Optimal allocation of distributed generation using an analytical method with consideration of technical and economic parameters." Journal of Research in Science, Engineering and Technology 3, no. 01 (2019): 9–17. http://dx.doi.org/10.24200/jrset.vol3iss01pp9-17.

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In order to benefit maximally from positive features of Distributed Generation (DG) supplies, the finding of location (siting), and determination of optimal capacity of these supplies are inevitable in power distribution networks so that the researches indicate that if this important process is not considered in installation of DG supplies, not only the given positive goals and features are not fulfilled in installation of DG supplies, but also it is probably led to the worse status in installation of power supplies than the past as well. As a result, determination of optimal size and position

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22

Wiens, Tim C., Gordon L. Reusing, Slavi Grozev, and Zachary Zehr. "Quantifying the ambient community noise environment for optimal industry siting." Journal of the Acoustical Society of America 133, no. 5 (2013): 3275. http://dx.doi.org/10.1121/1.4805329.

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23

A., Mahmoud Pesaran H., Abdullah Asuhaimi Bin Mohd Zin, Azhar Bin Khairuddin, and Omid Shariati. "Optimal Sizing and Siting of Distributed Generators by Exhaustive Search." Distributed Generation & Alternative Energy Journal 30, no. 3 (2015): 29–56. http://dx.doi.org/10.1080/21563306.2015.11461421.

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24

Liu, Nan, Bo Huang, and Magesh Chandramouli. "Optimal Siting of Fire Stations Using GIS and ANT Algorithm." Journal of Computing in Civil Engineering 20, no. 5 (2006): 361–69. http://dx.doi.org/10.1061/(asce)0887-3801(2006)20:5(361).

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25

Indriasari, Vini, Ahmad Rodzi Mahmud, Noordin Ahmad, and Abdul Rashid M. Shariff. "Maximal service area problem for optimal siting of emergency facilities." International Journal of Geographical Information Science 24, no. 2 (2010): 213–30. http://dx.doi.org/10.1080/13658810802549162.

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26

Li, Cijun, Jean M. Bahr, Eric G. Reichard, James J. Butler, and Irwin Remson. "Optimal Siting of Artificial Recharge: An Analysis of Objective Functions." Ground Water 25, no. 2 (1987): 141–50. http://dx.doi.org/10.1111/j.1745-6584.1987.tb02870.x.

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27

Minor, S. Diane, and Timothy L. Jacobs. "Optimal Land Allocation for Solid‐ and Hazardous‐Waste Landfill Siting." Journal of Environmental Engineering 120, no. 5 (1994): 1095–108. http://dx.doi.org/10.1061/(asce)0733-9372(1994)120:5(1095).

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28

Fernandez-Blanco, Ricardo, Yury Dvorkin, Bolun Xu, Yishen Wang, and Daniel S. Kirschen. "Optimal Energy Storage Siting and Sizing: A WECC Case Study." IEEE Transactions on Sustainable Energy 8, no. 2 (2017): 733–43. http://dx.doi.org/10.1109/tste.2016.2616444.

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29

Reddy, S. Yogendra, Daka Seshi Reddy, and G. Kesava Rao. "Optimal Siting and Sizing of Solar Power Sources in Interconnection Grid System." International Journal of Applied Power Engineering (IJAPE) 5, no. 1 (2016): 1. http://dx.doi.org/10.11591/ijape.v5.i1.pp1-13.

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<span>Growing concerns electrical power demand in need and necessity of daily livelihood of life. Impacted over addition power demanded there is climate impacts, environmental conditions due to conventional power generation resulted in improvement of cheaper solar power generation in the whole distribution system network, and programs offered by governments have contributed to an increment in the number of distributed energy resources (DERs) system in commercial and domestic electrical power output. It is well known that fact the non-optimal size and non-optimal siting system may lead to

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30

Wang, Bo. "Research on solving the optimal sizing and siting of distributed generation." IOP Conference Series: Earth and Environmental Science 52 (January 2017): 012040. http://dx.doi.org/10.1088/1742-6596/52/1/012040.

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31

Sultana, Arifa, and Amit Kumar. "Optimal siting and size of bioenergy facilities using geographic information system." Applied Energy 94 (June 2012): 192–201. http://dx.doi.org/10.1016/j.apenergy.2012.01.052.

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32

Fernandes, Ana Martha, Paul Kirshen, and Richard M. Vogel. "Optimal Siting of Regional Fecal Sludge Treatment Facilities: St. Elizabeth, Jamaica." Journal of Water Resources Planning and Management 134, no. 1 (2008): 55–63. http://dx.doi.org/10.1061/(asce)0733-9496(2008)134:1(55).

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33

Becker, Raik, and Daniela Thrän. "Optimal Siting of Wind Farms in Wind Energy Dominated Power Systems." Energies 11, no. 4 (2018): 978. http://dx.doi.org/10.3390/en11040978.

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Vachaparambil, Kurian J., Eric Aby Philips, Karan Issar, Vaidehi Parab, Divya Bahadur, and Sat Gosh. "Optimal Siting Considerations for Proposed and Extant Wind Farms in India." Energy Procedia 52 (2014): 48–58. http://dx.doi.org/10.1016/j.egypro.2014.07.053.

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35

Zhang, Shenxi, Haozhong Cheng, Ke Li, Masoud Bazargan, and Liangzhong Yao. "Optimal siting and sizing of intermittent distributed generators in distribution system." IEEJ Transactions on Electrical and Electronic Engineering 10, no. 6 (2015): 628–35. http://dx.doi.org/10.1002/tee.22129.

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36

Boonluk, Panyawoot, Apirat Siritaratiwat, Pradit Fuangfoo, and Sirote Khunkitti. "Optimal Siting and Sizing of Battery Energy Storage Systems for Distribution Network of Distribution System Operators." Batteries 6, no. 4 (2020): 56. http://dx.doi.org/10.3390/batteries6040056.

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In this work, optimal siting and sizing of a battery energy storage system (BESS) in a distribution network with renewable energy sources (RESs) of distribution network operators (DNO) are presented to reduce the effect of RES fluctuations for power generation reliability and quality. The optimal siting and sizing of the BESS are found by minimizing the costs caused by the voltage deviations, power losses, and peak demands in the distribution network for improving the performance of the distribution network. The simulation results of the BESS installation were evaluated in the IEEE 33-bus dist

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37

Sheehan, Emma V., Sarah C. Gall, Sophie L. Cousens, and Martin J. Attrill. "Epibenthic Assessment of a Renewable Tidal Energy Site." Scientific World Journal 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/906180.

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Concern over global climate change as a result of fossil fuel use has resulted in energy production from renewable sources. Marine renewable energy devices provide clean electricity but can also cause physical disturbance to the local environment. There is a considerable paucity of ecological data at potential marine renewable energy sites that is needed to assess potential future impacts and allow optimal siting of devices. Here, we provide a baseline benthic survey for the Big Russel in Guernsey, UK, a potential site for tidal energy development. To assess the suitability of proposed sites f

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Irie, Noriko, Ryusei Iwamura, Kaho Sugiura, and Naoko Kawahara. "Siting Renewable Energy Facilities Using a Matching Algorithm: A Case Study in Japan." Land 12, no. 1 (2022): 126. http://dx.doi.org/10.3390/land12010126.

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Finding an optimal match between installation sites and renewable energy (RE) facilities while ensuring that private initiatives meet local socio-environmental needs is a significant albeit complicated task. Different sites may need diverse considerations, such as landscape conservation, while information on the true local preferences and costs of RE facilities is unknown to the planner, causing information asymmetry and inefficiency. This study explores how a matching model can be utilised for empirically planning RE siting using an illustrative case study. It employs the so-called ‘college a

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39

Leelawati, Sunda, Jitendra singh Bhadoriya Prof., Rahul Srivastav Prof., and H.K.Mishra Prof. "DIFFERENT OPTIMIZATION METHOD FOR SITTING AND SIZING OF DISTRIBUTED GENERATION IN ELECTRICAL NETWORK." International Journal of Advances in Engineering & Scientific Research 3, no. 3 (2016): 85–101. https://doi.org/10.5281/zenodo.10753600.

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<strong><em>Abstract:</em></strong> In distributed network losses are compare to transmission and generation system. Losses reduce the efficiency of system and making worst scenario for power system. Several methods are used to reduce the losses like incorporating fact devices, restructuring of power system etc. Distributed generation is now becoming popular for not only reducing the total burden on generator but also for decreasing the losses in power system. the main problems comes for siting & sizing for distribution generation so that it should be placed effectively , hence increase th

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40

Abuelnasr, Marwa, Walid El-Khattam, and Ibrahim Helal. "Investigation of the impact of Photovoltaic Sizing and Siting Modeling on Micro-grids Energy Management Optimization." MATEC Web of Conferences 171 (2018): 02004. http://dx.doi.org/10.1051/matecconf/201817102004.

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The modeling of micro-grid’s PV units’ and loads’ size and distribution along its network could severely affect the accuracy of power losses calculation and; thus the amount of energy to be imported from the main-grid to balance the load. Also, it will affect the micro-grid’s optimal energy management results. Therefore, a comprehensive analysis is carried out to assess the impact of the PV’s and the load’s sizing and sitting (either lumped or distributed). Four case studies are carried out to illustrate the impact of the modeling on the micro-grid’s losses and the imported energy from the mai

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41

Avelino, Catarina, Carlos Monteiro, Carlos Teixeira, and Fátima Ferreira. "Environmental and administrative EVIAVE-based approach for landfill siting." Waste Management & Research 37, no. 9 (2019): 941–50. http://dx.doi.org/10.1177/0734242x19857140.

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Landfill site selection is a relevant and necessary issue for waste management. However, it is an extremely complex task since it must take into account different environmental, economic and socio-political criteria that need to comply with strict regulations and meet different opinions. Accordingly, in this paper we propose a multi-criteria EVIAVE- (Evaluación del impacto ambiental en vertederos) based approach to evaluate the suitability of a set of possible landfill locations and rationally provide an optimal location for a landfill. The approach requires a comprehensive analysis to identif

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42

Li, Jianlin, Wending Zhao, Zhonghao Liang, and Tao Yan. "Optimal Configuration of Coupled Optical Storage Hydrogen Production System Considering Multi-body and Multi-objective Joint Optimization." Journal of Physics: Conference Series 2465, no. 1 (2023): 012012. http://dx.doi.org/10.1088/1742-6596/2465/1/012012.

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Abstract With the development of siting and capacity setting methods for coupled optical-storage hydrogen production systems, difficulties such as the complexity of constraints in multi-body and multi-objective system planning models, the decline of electrolytic tank life, and non-linear and non-time-series have emerged one after another. To address these difficulties, this paper proposes a double-layer planning capacity configuration method for coupled optical-storage-grid hydrogen production for transmission and transformer systems, which solves the explicit and implicit coupled double-layer

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43

Chen, Dawei, Shun Zhou, Yuanchang Xie, and Xuhong Li. "Optimal Facility Location Model Based on Genetic Simulated Annealing Algorithm for Siting Urban Refueling Stations." Mathematical Problems in Engineering 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/981370.

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This paper analyzes the impact factors and principles of siting urban refueling stations and proposes a three-stage method. The main objective of the method is to minimize refueling vehicles’ detour time. The first stage aims at identifying the most frequently traveled road segments for siting refueling stations. The second stage focuses on adding additional refueling stations to serve vehicles whose demands are not directly satisfied by the refueling stations identified in the first stage. The last stage further adjusts and optimizes the refueling station plan generated by the first two stage

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44

Aidoo, Emmanuel, C. D. Nandakumar, Gabriel Mwinkume, and A. Bernick Raj. "Leveraging mathematical methods for environmentally friendly waste management: Locating optimal facility sites." Edelweiss Applied Science and Technology 9, no. 3 (2025): 2367–401. https://doi.org/10.55214/25768484.v9i3.5811.

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This study examines the Uncapacitated Facility Location Problem (UFLP) in the context of landfill placement, a critical factor in sustainable waste management. It introduces an enhanced model that integrates operational logistics, cost structures, demand distribution, temporal dynamics, and population growth projections to optimize landfill siting strategies. We apply the proposed model in a case study of Cape Coast Metropolis, Ghana, which includes twenty-three suburbs and seven potential landfill sites. The analysis evaluates the impact of landfill distribution on waste management efficiency

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45

Shahzad, Mohsin, Waseem Akram, Muhammad Arif, Uzair Khan, and Barkat Ullah. "Optimal Siting and Sizing of Distributed Generators by Strawberry Plant Propagation Algorithm." Energies 14, no. 6 (2021): 1744. http://dx.doi.org/10.3390/en14061744.

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Increasing the unplanned penetration of Distributed Generators (DGs) has spurred active and reactive power losses in the distribution system. This article suggests using a novel Strawberry Plant Propagation Algorithm (SPPA) for planning the placement of the DGs with the aim of reducing the network (active) power losses and improving the overall voltage profile. The proposed method (SPPA) has been tested on 33 and 69 node radial systems in MATLAB. A cost analysis was also performed and compared with other contemporary methods. The results for the considered variables show the significance of th

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46

Cheng, Xiao Yue, and Jin Ling Lu. "Optimal Siting and Sizing of Distributed Generation Planning in a Standalone Microgrid." Advanced Materials Research 960-961 (June 2014): 1048–53. http://dx.doi.org/10.4028/www.scientific.net/amr.960-961.1048.

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This paper introduces renewable energy to ensure offshore platforms as a stand-alone microgrid operate reliably economically in low-carbon environment, considering volatility of CO2 emission price. A probability distribution model and economic model containing investment cost and low-carbon effect is established respectively, using latin hypercube sampling (LHS), meanwhile, the stochastic power is adopted to judge whether the built planning model can meet power flow constraint, Monte Carlo method is used to simulate characteristics of distributed generation ( DG), a probabilistic power flow is

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47

Liu, Zhipeng, Fushuan Wen, and Gerard Ledwich. "Optimal Siting and Sizing of Distributed Generators in Distribution Systems Considering Uncertainties." IEEE Transactions on Power Delivery 26, no. 4 (2011): 2541–51. http://dx.doi.org/10.1109/tpwrd.2011.2165972.

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48

Kaur, Damanjeet. "Optimal DG Siting and Sizing in Distribution System using PSO-DE Approach." MATEC Web of Conferences 57 (2016): 02016. http://dx.doi.org/10.1051/matecconf/20165702016.

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Masi, Matteo, Chiara Arrighi, Francesco Piragino, and Fabio Castelli. "Participatory multi-criteria decision making for optimal siting of multipurpose artificial reservoirs." Journal of Environmental Management 370 (November 2024): 122904. http://dx.doi.org/10.1016/j.jenvman.2024.122904.

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Kao, Jehng-Jung. "A raster-based C program for siting a landfill with optimal compactness." Computers & Geosciences 22, no. 8 (1996): 837–47. http://dx.doi.org/10.1016/s0098-3004(96)00022-2.

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