Adaptive economic predictive control for offshore wind farm active yaw considering generation uncertainty

Applied Energy, Journal Year: 2023, Volume and Issue: 351, P. 121849 - 121849

Published: Sept. 7, 2023

Language: Английский

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Multi-Timescale Optimization of Integrated Energy System With Diversified Utilization of Hydrogen Energy Under the Coupling Of Green Certificate and Carbon Trading

Published: Jan. 1, 2024

Promoting renewable energy and developing low-carbon integrated systems are noteworthy in the sector. However, existing works on system, coupling of green certificate carbon trading mechanism under diversified utilization hydrogen has not been fully considered to provide an incentive effect for uncertain resources. Based these considerations, a multi-timescale optimization system with is studied mechanism. First, coupled interaction trading-stepped proposed by linking stepped through certificates. Furthermore, establishment unit addresses emissions from perspective application offers fresh concepts economy. Then, optimized scheduling model multiple time scales day-ahead/intra-day/real-time developed reduce impact prediction errors operation. Finally, confirm that approach productive, case study conducted. The simulation results indicate presented method can efficiently errors.

Language: Английский

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A Seasonal Scenario Generation Method Considering Demand Correlation for Optimal Planning of Hybrid Energy Systems

Published: Jan. 1, 2024

The increasing penetration of intermittent wind and solar energy in hybrid systems (HES) has brought unprecedented operational uncertainty. Furthermore, the correlation between demands needs to be considered HES. This study proposed a method generate typical scenarios with seasonal characteristics demand for system long-term planning. And, scenario is smooth under premise meeting season, avoiding repeated start stop unit Subsequently, computationally efficient dispatch strategy by Newton-Raphson was developed calculate flow using day-ahead market. Case conducted on conceptual utility grid-connected HES Sacramento, California. integrates biomass gasification-based combined heat power (BCHP), turbines, photovoltaic panels. results show electricity cost, gas electricity-heat-gas network among various scenarios, which provides valuable decision manager's

Language: Английский

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Data-driven economic predictive control for sustainable management of renewable energy systems

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 501, P. 01005 - 01005

Published: Jan. 1, 2024

The transition to renewable energy sources is driven by the need reduce greenhouse gas emissions, mitigate climate change, and enhance security. Renewable sources, such as solar, wind, hydropower, are inherently intermittent, making their integration into power grid complex. This paper emphasizes significance of predictive modelling for optimization it establishes connection between machine learning economic model control techniques realization sustainable management sources. Machine Learning based frameworks can assist providers in preparing fluctuating supplies predicting demand forecasting production capabilities plants. Moreover, combining smart designs with proposed technique ensure consumer satisfaction while adhering sustainability requirements.

Language: Английский

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Scheduling Strategy Design of Multi-energy Integrated Energy System Considering Source-Net-Load Coupling

IFAC-PapersOnLine, Journal Year: 2024, Volume and Issue: 58(13), P. 68 - 73

Published: Jan. 1, 2024

Language: Английский

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