| References |
1. Ustinov D. A., Khomiakov K. A. Determination of Dynamic Characteristics for Predicting Electrical Load Curves of Mining Enterprises // Electricity. 2022. Vol. 3. Iss. 2. P. 162–181.
2. Сычев Ю. А., Зимин Р. Ю. Повышение качества электроэнергии в системах электроснабжения минерально-сырьевого комплекса гибридными фильтрокомпенсирующими устройствами // Записки Горного института. 2021. Т. 247. С. 132–140.
3. Бельский А. А., Скамьин А. Н., Васильков О. С. Применение гибридных накопителей электроэнергии для выравнивания графика нагрузки предприятий // Энергетика. Известия высших учебных заведений и энергетических объединений СНГ. 2020. Т. 63. № 3. С. 212–222.
4. Шклярский Я. Э., Герра Д. Д., Яковлева Э. В., Рассылкин А. Влияние солнечной энергетики на развитие горнодобывающей отрасли в Республике Куба // Записки Горного института. 2021. Т. 249. С. 427–440.
5. Zhang D., Shafiullah G. M., Das C. K., Wong K. A systematic review of optimal planning and deployment of distributed generation and energy storage systems in power networks // Journal of Energy Storage. 2022. Vol. 56. ID 105937.
6. Уфа Р. А., Малькова Я. Ю., Рудник В. Е. Обзор влияния распределенной генерации на электроэнергетическую систему // Альтернативная энергетика и экология. 2022. № 3. С. 21–38.
7. Baburin S. V., Turysheva A. V., Kovalchuk M. S. Algorithm for the choice of power supply system rational structure of gas pumping stations // Journal of Physics: Conference Series. 2021. Vol. 1753. ID 012009.
8. Кононюк А. Е. Основы теории оптимизации. – Киев : Освита Украины, 2011. Кн. 1. – 692 с.
9. Фаррахов А. Т. Применение алгоритма роя частиц для решения задач оптимизации с распределенной генерацией // АгроЭкоИнфо. 2021. № 3(45).
10. Dhungel S. K., Bastola S., Thapa K., Karki N. R. Smart Reconfiguration of Distribution Networks Handling DG Penetration for Power Loss Minimization and Voltage Profile Improvement // International Conference on Role of Energy for Sustainable Social Development in ‘New Normal’ Era. – Kathmandu, 2020.
11. Mahmoud Pesaran H. A., Morteza N.-H., Behnam M.-I., Seyedi H. A hybrid genetic particle swarm optimization for distributed generation allocation in power distribution networks // Energy. 2020. Vol. 209. ID 118218.
12. Kennedy J., Eberhart R. Particle Swarm Optimization // Proceedings of ICNN'95 — International Conference on Neural Networks. – Perth, 1995. Vol. 4. P. 1942–1948.
13. Holland J. H. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence. – Cambridge : University of Michigan Press, 1975. – 183 p.
14. Goss S., Aron S., Deneubourg J. L., Pasteels J. M. Self-organized shortcuts in the Argentine ant // The Science of Nature. 1989. Vol. 76. Iss. 12. P. 579–581.
15. Ali E. S., Abd Elazim S. M., Abdelaziz A. Y. Optimal allocation and sizing of renewable distributed generation using ant lion optimization algorithm // Electrical Engineering. 2018. Vol. 100. Iss. 1. P. 99–109.
16. Mirjalili S. The Ant Lion Optimizer // Advances in Engineering Software. 2015. Vol. 83. P. 80–98.
17. Hadidian-Moghaddam M. J., Arabi-Nowdeh S., Bigdeli M., Azizian D. A multiobjective optimal sizing and siting of distributed generation using ant lion optimization technique // Ain Shams Engineering Journal. 2018. Vol. 9. Iss. 4. P. 2101–2109.
18. Bhadoria V. S., Pal N. S., Shrivastava V. Artificial immune system based approach for size and location optimization of distributed generation in distribution system // International Journal of System Assurance Engineering and Management. 2019. Vol. 10. Iss. 3. P. 339–349.
19. Ali A., Keerio M. U., Laghari J. A. Optimal Site and Size of Distributed Generation Allocation in Radial Distribution Network Using Multi-objective Optimization // Journal of Modern Power Systems and Clean Energy. 2021. Vol. 9. Iss. 2. P. 404–415.
20. Yavuz A., Celik N., Chen C.-H., Xu J. A Sequential Sampling-based Particle Swarm Optimization to Control Droop Coefficients of Distributed Generation Units in Microgrid Clusters // Electric Power Systems Research. 2023. Vol. 216. ID 109074.
21. Abdullah M. A. A., Mohd Saad N., Abas M. F., Jaalam N., Ali A. Optimization of Radial Distribution Network with Distributed Generation Using Particle Swarm Optimization Considering Load Growth // Proceedings of the 6th International Conference on Electrical, Control and Computer Engineering. Series: Lecture Notes in Electrical Engineering. – Singapore : Springer, 2022. Vol. 842. P. 257–268.
22. Prempeh I., El-Sehiemy R. A., Awopone A. K., Ayambire P. N. et al. Optima l Allocation and S izing of Distributed Generation and Electric Vehicle Charging Stations using Artificial Bee Colony and Particle Swarm Optimization Algorithms // 23rd International Middle East Power Systems Conference. – Cairo, 2022. DOI: 10.1109/MEPCON55441.2022.10021807
23. Hou Y. et al. Application of Improved Genetic Algorithm in Distribution Network Planning with Distributed Generation // Innovative Computing. Vol. 1 – Emerging Topics in Artificial Intelligence Proceedings of IC 2023. Series: Lecture Notes in Elect rical Engineering. – Singapore : Springer Nature, 2023. Vol. 1044. P. 937–943.
24. Gu T., Wang P., Liang F., Xie G., Guo L. et al. Placement and capacity selection of battery energy storage system in the distributed generation integrated distribution network based on improved NSGA-II optimization // Journal of Energy Storage. 2022. Vol. 52. ID 104716.
25. Lin M. H., Lin J. H., El Haj Assad M., Alayi R., Seyednouri S. R. Optimal Location and Sizing of Wind Turbines and Photovoltaic Cells in the Grid for Load Supply Using Improved Genetic Algorithm // Journal of Renewable Energy and Environment. 2023. Vol. 10. No. 2. P. 9–18.
26. Safwan C. M. A., Mohd Saad N., Abas M. F., Ab-Ghani S., Ali A. Optimization of Distributed Generation Using Mix-Inte ger Optimization by Genetic Algorithm (MIOGA) Considering Load Growth // Proceedings of the 6th International Conference on Electrical, Control and Computer Engineering. Series: Lecture Notes in Electrical Engineering. – Singapore : Springer, 2022. Vol. 842. P. 245–255.
27. Kugucheva D., Kharitonov M. Increasing the Reliability of the Electric Network with Distributed Generation // Energy Ecosystems: Prospects and Challenges. Applied Digital Technologies : Conference proceedings. Series: Lecture Notes in Networks and Systems. – Cham : Springer, 2023. Vol. 626. P. 64–75.
28. Nugroho A., Zm A. A., Winardi B. The Effect Of Distributed Generation (DG) Placement On Electricity Reliability // Engineering and Technology International Journal. 2023. Vol. 5. No. 1. P. 62–70.
29. Agarwal U., Jain N., Kumawat M. Reliability Analysis of Distribution System with Integration of Distributed Generation Resources // Optimal Planning and Operation of Distributed Energy Resources. Series: Energy Systems in Electrical Engineering. – Singapore : Springer, 2023. P. 235–258.
30. Zain A. Z. M., Ridzuan M. I. M., Ali N. Z. M. Impacts of incorporating distributed generation (DG) to the reliability of electric distribution network using Monte Carlo simulation (MCS) // Engineering Technology International Conference. – Kuantan, 2022. P. 329–334.
31. Zhao J., Zhang W., Du T., Hui H., Shi H. et al. Influence Analysis of Distributed Generation on Reliability of Distribution Network // Journal of Physics: Conference Series. 2022. Vol. 2360. ID 012025.
32. Borousan F., Hamidan M.-A. Distributed power generation planning for distribution network using chimp optimization algorithm in order to reliability improvement // Electric Power Systems Research. 2023. Vol. 217. ID 109109.
33. Kumar A., Prashant, Kumar D., Danish F., Sarwar M. et al. Reliability Assessment of Distribution System With Distributed Generation: A Case Study // International Conference on Power, Instrumentation, Energy and Control. – Aligarh, 2023. DOI: 10.1109/PIECON56912.2023.10085774
34. Barnwal A. K., Yadav L. K., Verma M. K. A Multi-Objective Approach for Voltage Stability Enhancement and Loss Reduction Under PQV and P Buses Through Reconfiguration and Distributed Generation Allocation // IEEE Access. 2022. Vol. 10. Iss. 9. P. 16609–16623.
35. Rhia R. A., Daghrour H., Alsamara M. Optimal Location of Distributed Generation and its Impacts on Voltage Stability // 12th International Renewable Engineering Conference. – Amman, 2021. DOI: 10.1109/IREC51415.2021.9427838
36. Gualotuña S., Pavón W. Droop control strategy for an isolated micro grid with distributed generation coupled to improve voltage stability // Revista Técnica Energía. 2024. Vol. 20. Iss. 11. P. 58–71.
37. Khasanov M., Kamel S., Xie K., Kurbanov A., Jumanov A. et al. Optimal allocation of distributed generation in radial distribution network for voltage stability improvement and power loss minimization // AIP Conference Proceedings. 2023. Vol. 2612. DOI: 10.1063/5.0113630
38. Ikechukwu U. K., Okechukwu U. K., Ngang N. B. Improving Power System Stability in Distribution Network with Intelligent Distributed Generation Scheme // American Journal of Engineering Research. 2021. Vol. 10. Iss. 6. P. 64–76.
39. Kornilov G. P., Gazizova O. V., Morshchakin A. E. Group Regulation of the Excitation of Synchronous Generators at Industrial Power Plants when Entering Autonomous Work with the Energy System // Proceedings 2023 International Conference on Industrial Engineering, Applications and Manufacturing. – Sochi, 2023. P. 98–102.
40. Dolgov A. P., Laktionov A. I., Mikhailishin L. A. Investigation of Autonomous Power System Stability Improvement Methods // Proceedings of the 4th International Youth Conference on Radio Electronics, Electrical and Power Engineering. – Moscow, 2022. DOI: 10.1109/REEPE53907.2022.9731489
41. Guan C., Li Z., Lin D. Power system stability: Concepts, trends, and future challenges // Advances in Resources Research. 2024. Vol. 4. Iss. 1. P. 55–66.
42. Ilyushin P., Filippov S., Kulikov A., Suslov K., Karamov D. Specific Features of Operation of Distributed Generation Facilities Based on Gas Reciprocating Units in Internal Power Systems of Industrial Entities // Machines. 2022. Vol. 10. Iss. 8. ID 693.
43. Majeed A. A., Altaie A. S., Abderrahim M., Alkhazraji A. A Review of Protection Schemes for Electrical Distribution Networks with Green Distributed Generation // Energies. 2023. Vol. 16. Iss. 22. ID 7587.
44. Vasconcelos L. H. P., Almeida A. R., Dos Santos B. F., Melo N. X., Sousa Carvalho J. G. et al. Hybrid optimization algorithm applied to adaptive protection in distribution systems with distributed generation // Electric Power Systems Research. 2022. Vol. 202. ID 107605.
45. Nsaif Y. M., Hossain Lipu M. S., Ayob A., Yusof Y., Hussain A. Fault Detection and Protection Schemes for Distributed Generation Integrated to Distribution Network: Challenges and Suggestions // IEEE Access. 2021. Vol. 9. P. 142693–142717.
46. Tariq A., Khatri K., Haque M. I. U., Raza M. A., Ahmed S. et al. Investigation of the Effects of Distributed Generation on Protection Coordination in a Power System // Engineering, Technology & Applied Science Research. 2021. Vol. 11. Iss. 5. P. 7628–7634.
47. Matos S. P. S., Vargas M. C., Fracalossi L. G. V., Encarnacao L. F., Batista O. E. Protection philosophy for distribution grids with high penetration of distributed generation // Electric Power Systems Research. 2021. Vol. 196. ID 107203.
48. Gadanayak D. A. Protection algorithms of microgrids with inverter interfaced distributed generation units—A review // Electric Power Systems Research. 2021. Vol. 192. ID 106986.
49. Kaur G., Prakash A., Rao K. U. A critical review of Microgrid adaptive protection techniques with distributed generation // Renewable Energy Focus. 2021. Vol. 39. P. 99–109.
50. Kostin V. N., Serikov V. A., Sherstennikova I. A. Higher harmonics and limiting thereof in power supply systems of different voltages // IOP Conference Series: Earth and Environmental Science. 2019. Vol. 378. ID 012051.
51. Скамьин А. Н., Добуш В. С., Жопри М. Х. Определение сопротивления электрической сети при расчете режимов с искажениями в напряжении // Записки Горного института. 2023. Т. 261. С. 443–454.
52. Shklyarskiy Ya., Dobush I., Sutikno T., Jopri M. H. Evaluation of three consumers' contribution to the current and voltage distortions at the point of common coupling // Bulletin of Electrical Engineering and Informatics. 2023. Vol. 12. No. 6. P. 3271–3278.
53. Skamyin A., Shklyarskiy Ya., Dobush I ., Dobush V., Sutikno T. et al. An assessment of the share contributions of distortion sources for various load parameters // International Journal of Power Electronics and Drive Systems. 2022. Vol. 13. No. 2. P. 950–959.
54. Сычев Ю. А., Костин В. Н., Сериков В. А., Аладьин М. Е. Анализ несинусоидальных режимов в системах электроснабжения горных предприятий с нелинейной нагрузкой и конденсаторными установками // ГИАБ. 2023. № 1. С. 159–179.
55. Kostin V. N., Krivenko A. V., Serikov V. A. Modeling of operation modes of electrical supply systems with non-linear load // Scientific and Practical Studies of Raw Material Issues : Proceedings of the Russian–German Raw Materials Dialogue: a Collection of Young Scientists Papers and Discussion. – Leiden : CRC Press, 2 019. P. 263–271. |
