energyЭнергетика. Известия высших учебных заведений и энергетических объединений СНГENERGETIKA. Proceedings of CIS higher education institutions and power engineering associations1029-74482414-0341BNTU10.21122/1029-7448-2025-68-6-504-516energy-2520Research ArticleЭЛЕКТРОЭНЕРГЕТИКАELECTRICAL POWER ENGINEERINGПланирование распределенной генерации с использованием метода RDistributed Generation Planning Using the R MethodГадэС.GadeS.

Нашик

Nashik

СанголеМ.SangoleM.

Нашик

Nashik

АгравалР.AgrawalR.

Нашик

Nashik

ПатильД.PatilD.

Адрес для переписки:Патиль Дипак Пандуранг Сандипский институт инженерии и менеджмента«Дип Амрит», Плот № 46+47/3 Гаджанан Чоук, Индранагри, Каматваде Нашик, Республика ИндияПин код 422008 dipak.patil@siem.org.in

Address for correspondence:Patil Dipak PandurangSandip Institute of Engineering and Management“DEEP AMRIT”, Plot No 46+47/3Gajanan Chowk, Indranagri, Kamatwade Nashik (MS), Republic of IndiaPin Code 422008 dipak.patil@siem.org.in

dipak.patil@siem.org.inДжхаР.JhaR.

Нашик 

Nashik

РисодкарЙ.RisodkarY.

Нашик

Nashik

КумарА.KumarA.

Нашик

Nashik

Сандипский институт инженерии и менеджментаИндияSandip Institute of Engineering and ManagementIndiaКолледж Гуру Гобинд Сингх Инженерно-исследовательского центраИндияGuru Gobind Singh College of Engineering and Research CenterIndia202501122025686504516Copyright © Гадэ С., Санголе М., Агравал Р., Патиль Д., Джха Р., Рисодкар Й., Кумар А., 20252025Гадэ С., Санголе М., Агравал Р., Патиль Д., Джха Р., Рисодкар Й., Кумар А.Gade S., Sangole M., Agrawal R., Patil D., Jha R., Risodkar Y., Kumar A.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://energy.bntu.by/jour/article/view/2520

В настоящее время микросети используются для повышения устойчивости и стабильности энергосистем. Контролируемая эксплуатация нескольких установок распределенной генерации (DG) в системе распределения предоставит клиентам достаточно возможностей для выбора лучшего решения с учетом различных приоритетов. Лицу, принимающему решение, предоставляются исследования стратегического планирования с различными вариантами. Основными проблемами, с которыми сталкиваются лица, принимающие решения, являются присвоение весовых коэффициентов атрибутам, использование данных атрибутов для различных альтернатив и принятие окончательных решений. Эти проблемы можно эффективно решить, используя многоатрибутивный подход к принятию решений. Данный подход позволяет осуществлять выбор наилучшего варианта из большого, но конечного числа вариантов с учетом того, как каждый вариант способен выполнять несколько атрибутов. В данной статье представлено оптимальное планирование распределенной генерации с использованием метода R, учитывающего различные конфигурации, такие как гибридная распределенная генерация, микросеть и сетка. Данная статья рассматривает три характеристики: надежность, дополнительные затраты и потери при передаче и распределении. Результаты сравниваются с подходом аналитического иерархического процесса. Метод R относительно прост и эффективен, поскольку требует меньше времени, ограниченного внимания лица, принимающего решения, и высокой производительности для обработки информации. Данная исследовательская работа позволит разработать алгоритм управления с использованием нечеткой логики стратегического планирования работы распределительных групп.

Nowadays micro-grids are employed to improve the resilience and stability of power systems. The supervised operation of several distributed generation (DG) in a distribution system will give customers enough options to select the better solution under various priorities. Strategic planning studies with a variety of options are presented to the decision-maker. Major problems faced by decision-makers are assigning weights to the attributes, using attribute data for various alternatives, and making final decisions. These problems can be effectively managed in the multi-attribute decision-making approach. It deals with choosing the best option from a large but finite number of options while taking into account how each option performs concerning several attributes. In this paper optimal planning of a DG using the R method considering various configurations such as hybrid DG, Micro-grid, and the grid is presented. Three attributes such as reliability, incremental cost, and T&D losses are considered in this paper. The results are compared with the Analytical Hierarchy Process approach. The R method is a relatively simple and efficient as it requires less time, limited attention of the decision maker, and a high capacity for processing the information. This research paper will help to develop a control algorithm using fuzzy for strategic planning of DGs.

чувствительный элементдетекторный диодтерагерцовое излучениетрехмерная модельрезонансная частотаHFSSэффективность преобразованияпотери на отражениекоэффициент направленного действияsensordetecting diodeterahertz radiation3D modelresonance frequencyHFSSconversion efficiencyreflection lossesdirectivityReferencesWillis H. L., Scott W. G. (2000) Distributed Power Generation Planning and Evaluation. New York: Marcel Dekker. https://doi.org/10.1201/b16836.Willis H. L., Scott W. G. (2000) Distributed Power Generation Planning and Evaluation. New York: Marcel Dekker. https://doi.org/10.1201/b16836.Dugan R. C., McDermott T. E., Ball G. J. (2000) Distribution Planning for Distributed Generation. 2000 Rural Electric Power Conference. Papers Presented at the 44th Annual Conference (Cat. No.00CH37071). Louisville, KY, USA, C4/1-C4/7. https://doi.org/10.1109/REPCON.2000.848048.Dugan R. C., McDermott T. E., Ball G. J. (2000) Distribution Planning for Distributed Generation. 2000 Rural Electric Power Conference. Papers Presented at the 44th Annual Conference (Cat. No.00CH37071). Louisville, KY, USA, C4/1-C4/7. https://doi.org/10.1109/REPCON.2000.848048.Hirsch A., Parag Y., Guerrero J. (2018) Micro-Grids: A Review of Technologies, Key Drivers, and Outstanding Issues. Renewable and Sustainable Energy Reviews, 90, 402–411. https://doi.org/10.1016/j.rser.2018.03.040.Hirsch A., Parag Y., Guerrero J. (2018) Micro-Grids: A Review of Technologies, Key Drivers, and Outstanding Issues. Renewable and Sustainable Energy Reviews, 90, 402–411. https://doi.org/10.1016/j.rser.2018.03.040.Parhizi S., Lotfi H., Khodaei A., Bahramirad S. (2015) State of the Art in Research on Microgrids: A Review. IEEE Access, 3, 890–925. https://doi.org/10.1109/access.2015.2443119.Parhizi S., Lotfi H., Khodaei A., Bahramirad S. (2015) State of the Art in Research on Microgrids: A Review. IEEE Access, 3, 890–925. https://doi.org/10.1109/access.2015.2443119.Quiggin D., Cornell S., Tierney M., Buswell R. (2012) A Simulation and Optimisation Study: Towards a Decentralised Microgrid, Using Real World Fluctuation Data. Energy, 41 (1), 549–559. https://doi.org/10.1016/j.energy.2012.02.007.Quiggin D., Cornell S., Tierney M., Buswell R. (2012) A Simulation and Optimisation Study: Towards a Decentralised Microgrid, Using Real World Fluctuation Data. Energy, 41 (1), 549–559. https://doi.org/10.1016/j.energy.2012.02.007.Khodaei A. (2015) Provisional Microgrids. IEEE Transactions on Smart Grid, 6 (3), 1107–1115. https://doi.org/10.1109/tsg.2014.2358885.Khodaei A. (2015) Provisional Microgrids. IEEE Transactions on Smart Grid, 6 (3), 1107–1115. https://doi.org/10.1109/tsg.2014.2358885.Luo X., Wang J., Dooner M., Clarke J. (2015) Overview of Current Development in Electrical Energy Storage Technologies and the Application Potential in Power System Operation. Applied Energy, 137, 511–536. https://doi.org/10.1016/j.apenergy.2014.09.081.Luo X., Wang J., Dooner M., Clarke J. (2015) Overview of Current Development in Electrical Energy Storage Technologies and the Application Potential in Power System Operation. Applied Energy, 137, 511–536. https://doi.org/10.1016/j.apenergy.2014.09.081.Nigim K. A., Lee W.-J. (2007) Micro Grid Integration Opportunities and Challenges. 2007 IEEE Power Engineering Society General Meeting, 1–6. https://doi.org/10.1109/pes.2007.385669.Nigim K. A., Lee W.-J. (2007) Micro Grid Integration Opportunities and Challenges. 2007 IEEE Power Engineering Society General Meeting, 1–6. https://doi.org/10.1109/pes.2007.385669.Dadhich S., Meena P., Singh S., Gupta A. K. (2019) A Feasibility Study of Microgrids in India. 2019 8th International Conference System Modeling and Advancement in Research Trends (SMART), 343–347. https://doi.org/10.1109/smart46866.2019.9117339.Dadhich S., Meena P., Singh S., Gupta A. K. (2019) A Feasibility Study of Microgrids in India. 2019 8th International Conference System Modeling and Advancement in Research Trends (SMART), 343–347. https://doi.org/10.1109/smart46866.2019.9117339.Xiang Y., Liu J., Li F., Liu Y., Liu Y., Xu R., Su Y., Ding L. (2016) Optimal Active Distribution Network Planning: A Review. Electric Power Components and Systems, 44 (10), 1075–1094. https://doi.org/10.1080/15325008.2016.1156194.Xiang Y., Liu J., Li F., Liu Y., Liu Y., Xu R., Su Y., Ding L. (2016) Optimal Active Distribution Network Planning: A Review. Electric Power Components and Systems, 44 (10), 1075–1094. https://doi.org/10.1080/15325008.2016.1156194.Haffner S., Pereira L. F. A., Pereira L. A., Barreto L. S. (2008) Multistage Model for Distribution Expansion Planning with Distributed Generation–Part II: Numerical Results. IEEE Transactions on Power Delivery, 23 (2), 924–929. https://doi.org/10.1109/tpwrd.2008.917911.Haffner S., Pereira L. F. A., Pereira L. A., Barreto L. S. (2008) Multistage Model for Distribution Expansion Planning with Distributed Generation–Part II: Numerical Results. IEEE Transactions on Power Delivery, 23 (2), 924–929. https://doi.org/10.1109/tpwrd.2008.917911.Haffner S., Pereira L. F. A., Pereira L. A., Barreto L. S. (2008) Multistage Model for Distribution Expansion Planning With Distributed Generation–Part I: Problem Formulation. IEEE Transactions on Power Delivery, 23 (2), 915–923. https://doi.org/10.1109/tpwrd.2008.917916.Haffner S., Pereira L. F. A., Pereira L. A., Barreto L. S. (2008) Multistage Model for Distribution Expansion Planning With Distributed Generation–Part I: Problem Formulation. IEEE Transactions on Power Delivery, 23 (2), 915–923. https://doi.org/10.1109/tpwrd.2008.917916.Gil H. A., Joos G. (2008) Models for Quantifying the Economic Benefits of Distributed Generation. IEEE Transactions on Power Systems, 23 (2), 327–335. https://doi.org/10.1109/tpwrs.2008.920718.Gil H. A., Joos G. (2008) Models for Quantifying the Economic Benefits of Distributed Generation. IEEE Transactions on Power Systems, 23 (2), 327–335. https://doi.org/10.1109/tpwrs.2008.920718.Naderi E., Seifi H., Sepasian M. S. (2012) A Dynamic Approach for Distribution System Planning Considering Distributed Generation. IEEE Transactions on Power Delivery, 27 (3), 1313–1322. https://doi.org/10.1109/tpwrd.2012.2194744.Naderi E., Seifi H., Sepasian M. S. (2012) A Dynamic Approach for Distribution System Planning Considering Distributed Generation. IEEE Transactions on Power Delivery, 27 (3), 1313–1322. https://doi.org/10.1109/tpwrd.2012.2194744.Xiaobo Z., Baohui Z. (2016) Optimal Power Distribution Method for Microgrids Integrated System. 2016 Chinese Control and Decision Conference (CCDC), 6115–6121. https://doi.org/10.1109/ccdc.2016.7532095.Xiaobo Z., Baohui Z. (2016) Optimal Power Distribution Method for Microgrids Integrated System. 2016 Chinese Control and Decision Conference (CCDC), 6115–6121. https://doi.org/10.1109/ccdc.2016.7532095.Verma M. K., Yadav V. K., Mukherjee V., Mehta G. (2018) Planning and Optimizing the Cost of DGs for Stability of Green Field Distribution Network. 2018 3rd International Conference On Internet of Things: Smart Innovation and Usages (IoT-SIU), 1–6. https://doi.org/10.1109/IoT-SIU.2018.8519912Verma M. K., Yadav V. K., Mukherjee V., Mehta G. (2018) Planning and Optimizing the Cost of DGs for Stability of Green Field Distribution Network. 2018 3rd International Conference On Internet of Things: Smart Innovation and Usages (IoT-SIU), 1–6. https://doi.org/10.1109/iot-siu.2018.8519912.Li G., Zhai X., Li Y., Feng B., Wang Z., Zhang M. (2016) Multi-objective Optimization Operation Considering Environment Benefits and Economy Based on Ant Colony Optimization for Isolated Micro-Grids. Energy Procedia, 104, 21–26. https://doi.org/10.1016/j.egypro.2016.12.005.Li G., Zhai X., Li Y., Feng B., Wang Z., Zhang M. (2016) Multi-objective Optimization Operation Considering Environment Benefits and Economy Based on Ant Colony Optimization for Isolated Micro-Grids. Energy Procedia, 104, 21–26. https://doi.org/10.1016/j.egypro.2016.12.005.Sahraei-Ardakani M., Peydayesh M., Rahimi-Kian A. (2008) Multi attribute Optimal DG Planning under Uncertainty Using AHP Method. 2008 IEEE Power and Energy Society General Meeting – Conversion and Delivery of Electrical Energy in the 21st Century, 1–5. https://doi.org/10.1109/pes.2008.4596815.Sahraei-Ardakani M., Peydayesh M., Rahimi-Kian A. (2008) Multi attribute Optimal DG Planning under Uncertainty Using AHP Method. 2008 IEEE Power and Energy Society General Meeting – Conversion and Delivery of Electrical Energy in the 21st Century, 1–5. https://doi.org/10.1109/pes.2008.4596815.Agalgaonkar A. P., Kulkarni S. V., Khaparde S. A. (2006) Evaluation of Configuration Plans for DGs in Developing Countries Using Advanced Planning Techniques. IEEE Transactions on Power Systems, 21 (2), 973–981. https://doi.org/10.1109/tpwrs.2006.873420.Agalgaonkar A. P., Kulkarni S. V., Khaparde S. A. (2006) Evaluation of Configuration Plans for DGs in Developing Countries Using Advanced Planning Techniques. IEEE Transactions on Power Systems, 21 (2), 973–981. https://doi.org/10.1109/tpwrs.2006.873420.Rao R. V., Lakshmi J. (2021) R-Method: A Simple Ranking Method for Multi-Attribute Decision-Making in the Industrial Environment. Journal of Project Management, 223–230. https://doi.org/10.5267/j.jpm.2021.5.001.Rao R. V., Lakshmi J. (2021) R-Method: A Simple Ranking Method for Multi-Attribute Decision-Making in the Industrial Environment. Journal of Project Management, 223–230. https://doi.org/10.5267/j.jpm.2021.5.001.Agalgaonkar A. P., Kulkarni S. V., Khaparde S. A. (2005) Multi-Attribute Decision Making Approach for Strategic Planning of DGs. IEEE Power Engineering Society General Meeting, 2005, 2213–2218. https://doi.org/10.1109/pes.2005.1489531.Agalgaonkar A. P., Kulkarni S. V., Khaparde S. A. (2005) Multi-Attribute Decision Making Approach for Strategic Planning of DGs. IEEE Power Engineering Society General Meeting, 2005, 2213–2218. https://doi.org/10.1109/pes.2005.1489531.

The authors declare that there are no conflicts of interest present.