Data-driven optimal scheduling for integrated electricity-heat-gas-hydrogen energy system considering demand-side management: A deep reinforcement learning approach

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 103, P. 147 - 165

Published: Jan. 17, 2025

Language: Английский

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A comprehensive review on uncertainty modeling methods in modern power systems

International Journal of Electrical Power & Energy Systems, Journal Year: 2025, Volume and Issue: 166, P. 110534 - 110534

Published: March 3, 2025

Language: Английский

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Reliability Evaluation Method for Power Distribution Systems With Renewable Distributed Generations and Adjustable Loads

IET Generation Transmission & Distribution, Journal Year: 2025, Volume and Issue: 19(1)

Published: Jan. 1, 2025

ABSTRACT With the continuous development of distribution systems, integration various distributed generations (DGs) and adjustable loads has increased system uncertainty, placing higher demands on reliability evaluation. The accuracy traditional evaluation methods is poor when assessing systems that incorporate renewable DGs loads. To address this issue, paper proposes a method for include multiple types Initially, models lines, DGs, are established. Then, classified their impact analysed. Subsequently, based Monte Carlo simulation method, framework considering proposed indices reflecting influence also proposed. Finally, case study conducted using modified IEEE 123‐node test to verify effectiveness showing can enhance system.

Language: Английский

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Enhanced dispatch model for park-level integrated energy system considering electricity-carbon collaboration

Electric Power Systems Research, Journal Year: 2025, Volume and Issue: 246, P. 111674 - 111674

Published: April 9, 2025

Language: Английский

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