Optimal Allocation of Storage Capacity in Distribution Network for Renewable Energy Expansion
Azibek B. Zhakiyev N. Kushekkaliyev A. Zhalgas A. Mukatov B.
2024Taylor and Francis Ltd.
Electric Power Components and Systems
2024#52Issue 101749 - 1762 pp.
Today the integration of renewable energy production technologies into power systems brings a new challenge in terms of optimal usage of renewable. It is known that due to the discontinuous nature of renewable energy, the challenge can be associated with the presence of unwanted voltage fluctuations and power losses in power grids. This study performs optimization of the calculation of hosting capacity to determine the maximum amount of renewable energy that can be further expanded. This can be possible by energy storage deployment on the same power grids. The battery storages are expected to have power injection and absorption associated with discharging and charging of energy storages, respectively, to solve voltage fluctuations and power disturbances. Thus, to enhance the probability of distributed generation penetration, it is necessary to have optimal allocation and size during the renewable energy penetration in low-voltage distribution networks. Global optimization as a genetic algorithm (GA) method is used during hosting capacity assessment. The results show that using GA-based optimization, total cost and loss can be reduced by 38.8 and 73%, respectively. The practical results are verified by the IEEE-33 bus system.
distributed generation , energy storages , hosting capacity , optimal allocation , overvoltage issues , renewable energy integration
Text of the article Перейти на текст статьи
Department of Intelligent Systems and Cybersecurity, Astana IT University, Astana, Kazakhstan
Department of Science and Innovation, Astana IT University, Astana, Kazakhstan
Department of Computer Science, M. Utemisov West Kazakhstan University, Uralsk, Kazakhstan
Department of Computational and Data Analysis, Astana IT University, Astana, Kazakhstan
Department of Intelligent Systems and Cybersecurity
Department of Science and Innovation
Department of Computer Science
Department of Computational and Data Analysis
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026