Integration of Renewable Energy Sources into the Power Supply System of the Murghab Settlement, Gorno-Badakhshan Autonomous Region

Sangov, Khushdil S.; Chorshanbiev, Sirojiddin R.

doi:10.1109/elconrus54750.2022.9755454

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…In rural areas such as Rushan, Khorog, Murghab, and Ishkashim-2.0-2.7 m/s. In general, in most other regions of the country, the average wind speed is insignificant and varies from 0.9-4.8 m/s [50][51][52]. The indicators of the wind energy potential of the GBAO are presented in Figure 1.…”

Section: The Study Object-gorno-badakhshan Autonomous Oblastmentioning

confidence: 99%

Short-Term Prediction of the Wind Speed Based on a Learning Process Control Algorithm in Isolated Power Systems

et al. 2023

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Predicting the variability of wind energy resources at different time scales is extremely important for effective energy management. The need to obtain the most accurate forecast of wind speed due to its high degree of volatility is particularly acute since this can significantly improve the planning of wind energy production, reduce costs and improve the use of resources. In this study, a method for predicting the speed of wind flow in an isolated power system of the Gorno-Badakhshan Autonomous Oblast (GBAO), based on the use of a neural network with a learning process control algorithm, is proposed. Predicting is performed for four seasons of the year, based on hourly retrospective meteorological data of wind speed observations. The obtained wind speed average error forecasting ranged from 20–28% for a day ahead. The prediction results serve as a basis for optimizing the energy consumption of individual generating consumers to minimize their financial and technical costs. In addition, this study takes into account the possibility of exporting electricity to a neighboring country as an additional income line for the isolated GBAO power system during periods of excess energy from hydropower plants (March–September), which is a systematic vision of solving the problem of improving energy efficiency in the conditions of autonomous power supply.

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Section: The Study Object-gorno-badakhshan Autonomous Oblastmentioning

confidence: 99%

Short-Term Prediction of the Wind Speed Based on a Learning Process Control Algorithm in Isolated Power Systems

et al. 2023

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“…Given the climatic conditions of the area, solar power plants could significantly meet the energy needs. This project involves assessing the existing power supply system, analyzing daily and seasonal electricity loads, and evaluating the solar potential of the region, as well as the technical and economic aspects of the integration (Sangov & Niyozi Chorshanbiev, 2022). Despite economic hurdles, the social relevance of adopting renewable energy solutions in remote areas remains highly significant (Sun et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Integrating Solar Power With Existing Grids: Strategies, Technologies, and Challenges – a review

Abdus Salam Howlader

2024

GMJ

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Integrating solar power into existing electrical grids is critical to realizing a sustainable and resilient global energy landscape. This review paper offers a thorough overview of solar power's significance and potential for transforming energy systems, emphasizing its benefits for grid stability, fossil fuel reduction, and environmental sustainability. It details essential strategies for successful solar integration, such as adopting both grid-tied and off-grid systems, advancements in energy storage to mitigate solar intermittency, and applying innovative grid technologies for enhanced energy management. Additionally, the paper navigates through the technological breakthroughs aiding solar power's incorporation into grids and confronts the challenges, including technical issues like grid scalability and economic barriers such as investment costs, regulatory complexities, and social-environmental impacts. Drawing on case studies from leading regions in solar integration, it distills lessons learned and identifies strategies and technologies that have surmounted these hurdles. The review also projects future trends and innovations in solar technology and grid management, underscoring the need for ongoing innovation and supportive policies to bolster solar power's role in energy systems. By collating insights into solar power integration's current state and prospects, this paper will guide policymakers, industry players, and researchers toward harnessing solar energy's full potential, highlighting its indispensable contribution to a sustainable energy future.

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Integration of Renewable Energy Sources into the Power Supply System of the Murghab Settlement, Gorno-Badakhshan Autonomous Region

Cited by 2 publications

References 2 publications

Short-Term Prediction of the Wind Speed Based on a Learning Process Control Algorithm in Isolated Power Systems

Short-Term Prediction of the Wind Speed Based on a Learning Process Control Algorithm in Isolated Power Systems

Integrating Solar Power With Existing Grids: Strategies, Technologies, and Challenges – a review

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