Predictive controller for interconnected microgrids

Tungadio, Diambomba H.; Sun, Yuqing

doi:10.1049/iet-gtd.2019.1257

Cited by 17 publications

(7 citation statements)

References 38 publications

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“…Теоретический фундамент статьи формируют труды отечественных и зарубежных ученых, посвященных проблемам повышения эффективности систем энергоснабжения Voropai, 2021;Hutty et al, 2020;Tungadio et al, 2017;Tungadio & Sun, 2020;Smart Electrification with Renewables…, 2022;Папков и др., 2018). В качестве эмпирической базы использованы данные Ассоциации малой энергетики, некоммерческого партнерства «Распределенная энергетика» 2 , результаты аналитики НТИ «Энерджинет» о созданных ЛИЭС, инновационного центра Сколково (Княгин & Холкин, 2017, Чаусов и др., 2020; Папков и др.,…”

Section: источники информации и используемые методыunclassified

“…19, вып. 1 (2023) сьюмеров -активных потребителей, являющихся равноправными участниками энергетического рынка (Дзюба & Соловьева, 2021;Power System Flexibility…, 2018;Hutty et al, 2020;Tungadio et al, 2017;Tungadio & Sun, 2020;Smart Electrification with Renewables…, 2022).…”

Section: Introductionunclassified

“…За рубежом аналогом объекта исследования является Microgrid, основу которых, как правило, составляют установки, работающие на ВИЭ. При этом главный предмет зарубежных исследований -решение задачи обеспечения управляемости Microgrid, отличающимися прерывистыми стохастическими режимами генерации Hutty et al, 2020;Tungadio et al, 2017;Tungadio & Sun, 2020;.…”

Section: Introductionunclassified

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Improving the Stability of Power Supply in Regions on the Basis of Smart Local Energy Systems

Byk¹,

Myshkina²,

Kozhevnikov³

2023

EoR

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A modern organisational and technological structure of the energy sector emerged due to the development of distributed energy improving the reliability, efficiency and environmental friendliness of regional power supply systems. The study aims to substantiate the economic benefits of integrating smart local energy systems (SLES) based on distributed energy into regional power supply systems. Using heu-ristic and theoretical methods, the article explores the genesis of SLES and reveals factors that spur their development in regions. Analysis of empirical data from the implemented SLES projects revealed the ac-celerating pace of adoption of distributed energy by various regional economic sectors, allowing us to esti-mate the effects. Municipal smart local energy systems have a priority over those in agriculture and man-ufacturing, since their integration generates systemic effects significant for the region. These effects in-clude increased availability of energy at socially acceptable prices, reduced cross-subsidisation, flexible energy supply through the use of smart technology, and better conditions for small and medium-sized en-terprises. A key factor limiting the implementation of SLES projects is an underdeveloped institutional en-vironment, which could be improved by changing the current rules of the wholesale and retail markets of electricity and capacity. In particular, it might be expedient to include SLES in regional energy systems in order to justify changes in the regulatory framework. The paper presents a comprehensive examination of the properties and characteristics of smart local energy systems and suggests ways to obtain useful eco-nomic effects in the development of regional power supply systems. As for the practical value, the research emphasises the appeal of SLES to investment companies and outlines conditions for a region’s sustaina-ble development.

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Section: источники информации и используемые методыunclassified

Section: Introductionunclassified

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Improving the Stability of Power Supply in Regions on the Basis of Smart Local Energy Systems

Byk¹,

Myshkina²,

Kozhevnikov³

2023

EoR

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“…This achieved a smooth power output and reduced dynamic loads. 28 Xu et al enhanced the reliability of WPGS through importance gradient assessment, which is essential for the safe operation of the entire grid network. 29 Falugi and Mayne optimized the operational reliability of WPGS based on the real-time state of wind turbines.…”

Section: Introductionmentioning

confidence: 99%

“…MPC was developed for the wind turbine system. This achieved a smooth power output and reduced dynamic loads 28 . Xu et al enhanced the reliability of WPGS through importance gradient assessment, which is essential for the safe operation of the entire grid network 29 .…”

Section: Introductionmentioning

confidence: 99%

Robust control of wind turbines to reduce wind power fluctuation

Tang,

Wang,

Zhen

et al. 2024

Energy Science & Engineering

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The wind power generation system of a 5 MW horizontal axis wind turbine has a high wind energy conversion efficiency. The proportion of installed capacity in practical production applications is increasing year on year, so that the stability of its operation becomes a central factor in determining the productivity of the wind farm in question. This paper takes a 5 MW wind turbine as the research object and proposes a parameter‐adaptive robust model predictive control method to achieve self‐optimization of controller parameters through a Bayesian optimization approach. A robust model predictive control strategy, aiming to reduce the power fluctuation while maximizing the power output, is developed in this paper to enhance the dynamic economic performance under uncertain wind speed variation. A Bayesian algorithm is used in this paper to optimize the parameters of the controller. Moreover, wind speeds are simulated using TurbSim for different turbulence intensities of 5%, 10%, and 15% turbulence. Finally, the robust model predictive control toolbox in MATLAB is designed and simulated. The results show that the operational instability of the wind energy system is overcome. Meanwhile, the robustness of the wind energy system operation is improved compared to the traditional model predictive control approach.

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