Results 21 to 30 of about 9,406 (224)
Rank‐based energy scheduling strategy of networked microgrids in distribution systems
IET Generation, Transmission & Distribution, 2022 Microgrids (MGs) have emerged as a key platform for integrating distributed energy resources into distribution systems. However, a high penetration of renewable energy resources in an MG causes an imbalance frequently between energy generation and load ...
Nitesh Funde, Sung‐Guk Yoon
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Enabling demand response for optimal deployment of multi‐carrier microgrids incorporating incentives
IET Renewable Power Generation, 2022 This paper inspects customer multi‐carrier microgrid deployments' techno‐economic viability and assists investors in deciding whether or not to invest in multi‐carrier microgrid installations equipped with smart demand‐side technologies.
Mahdi Azimian +4 more
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IET Renewable Power Generation, 2021 Integrating a high penetration of renewable energy for developing sustainable and low‐carbon electric energy system is becoming a common trend around the world.
Ershun Du +5 more
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The Journal of Engineering, 2021 The awareness capability of output power for renewable resources is essential for enhancing the resilience of power systems. Photovoltaic (PV) forecasting technology is an essential technology for increasing the operation efficiency and controllable ...
Xiaoyang Bai, Liang Liang, Xueqin Zhu
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IET Science, Measurement & Technology, 2021 A reliability‐based optimal μ‐PMU (micro‐phasor measurement unit) placement scheme is suggested for efficient observability enhancement of smart distribution grids at steady‐state and contingencies conditions.
Arya Abdolahi +3 more
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Intelligent Planning Method of Distribution Network Based on Knowledge Graph and Graph Convolutional Neural Network [PDF]
Jisuanji gongchengDistribution network planning is important in power systems because it directly affects the reliability, efficiency, and economy of power supply. Good planning ensures that power resources are allocated efficiently while reducing operating costs and ...
ZHENG Jieyun, ZHANG Zhanghuang, XUAN Juqin, WEI Xin, XUE Jingwei
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Application of an adaptive Bayesian‐based model for probabilistic and deterministic PV forecasting
IET Renewable Power Generation, 2021 Accurate prediction of solar photovoltaic plant energy generation is essential for optimal planning and operation of modern power systems, and incorporating such plants into the energy sector.
Oveis Abedinia +2 more
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IET Generation, Transmission & Distribution, 2021 Utilizing energy storage systems equipped with virtual/synthetic inertia control has emerged as one of the solutions to solve low inertia issues in power systems with massive penetration of renewables.
Fathin Saifur Rahman +3 more
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Ultra‐short‐term multi‐step wind power forecasting based on CNN‐LSTM
IET Renewable Power Generation, 2021 The fluctuation and intermission of large‐scale wind power integration is a serious threat to the stability and security of the power system. Accurate prediction of wind power is of great significance to the safety of wind power grid connection.
Qianyu Wu +3 more
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IET Generation, Transmission & Distribution, 2021 In recent years, severe outages caused by natural disasters such as hurricanes have highlighted the importance of boosting the resilience level of distribution systems.
Mostafa Ghasemi +3 more
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