Оптимізація роботи енергетичних спільнот при непередбачуваних змінах попиту або обмеженнях в енергосистемі
Against the backdrop of rapidly expanding distributed generation and the integration of energy communities into traditional power systems, there is an urgent need for improved methods of managing their operation to ensure reliable and efficient energy supply. Traditional approaches to energy communi...
Збережено в:
| Дата: | 2025 |
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| Автори: | , , |
| Формат: | Стаття |
| Мова: | Ukrainian |
| Опубліковано: |
General Energy Institute of the National Academy of Sciences of Ukraine
2025
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| Теми: | |
| Онлайн доступ: | https://systemre.org/index.php/journal/article/view/904 |
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| Назва журналу: | System Research in Energy |
Репозитарії
System Research in Energy| Резюме: | Against the backdrop of rapidly expanding distributed generation and the integration of energy communities into traditional power systems, there is an urgent need for improved methods of managing their operation to ensure reliable and efficient energy supply. Traditional approaches to energy communities’ operation optimization often do not account for unpredictable changes in operating conditions—such as unexpected consumer outages or constraints imposed by the grid—which may lead to power deficits or surpluses, emergency shutdowns, and inefficient use of energy resources. This article focuses on the development and analysis of a modified model for optimizing the operating modes of energy communities power sources, taking into consideration the possibility of such unforeseen circumstances. A key feature of the proposed model is the reservation of a certain amount of generation capacity via controllable sources, such as biogas and small hydropower plants. This reserve enables flexible responses to demand fluctuations and ensures uninterrupted power supply to consumers, even under conditions of uncertainty. The article provides a detailed description of the energy community operation modeling process under various scenarios of changing operating conditions. It also compares the effectiveness of the proposed model with traditional approaches that do not incorporate unpredictable factors. The simulation results demonstrate that employing a generation reserve significantly enhances the resilience and reliability of energy communities’ performance, minimizes risks of power deficits or surpluses, and ensures more efficient use of in-house generation sources. This work further outlines prospects for future research, including the study of various reserve strategies, the development of adaptive reserve management algorithms, and the consideration of energy storage systems. Implementing the proposed model in practice will be a vital step toward creating reliable, efficient, and resilient energy communities capable of operating effectively amid the growing uncertainty and volatility of the energy sector. |
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