An enhanced stochastic optimization for more flexibility on integrated energy system with flexible loads and a high penetration level of renewables

Renewable Energy, Journal Year: 2024, Volume and Issue: 227, P. 120502 - 120502

Published: April 15, 2024

Language: Английский

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Design optimization of community energy systems based on dual uncertainties of meteorology and load for robustness improvement

Renewable Energy, Journal Year: 2024, Volume and Issue: 232, P. 120956 - 120956

Published: July 18, 2024

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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Long-short term memory modeling and performance analysis of extended-state Kalman filter-based energy-saving model predictive control for supercritical unit

Applied Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 126202 - 126202

Published: March 1, 2025

Language: Английский

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Data-driven distributionally Robust stochastic optimal dispatching method of integrated energy system considering multiple uncertainties

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136104 - 136104

Published: April 1, 2025

Language: Английский

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Optimization of energy output in multimodal and multi-load CCHP systems with integrated electric energy storage

Energy Reports, Journal Year: 2025, Volume and Issue: 13, P. 4734 - 4748

Published: April 19, 2025

Language: Английский

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Hybrid energy storage sizing in energy hubs: A continuous spectrum splitting approach

Energy, Journal Year: 2024, Volume and Issue: 300, P. 131504 - 131504

Published: May 3, 2024

Renewable powered energy hub is a promising way to realize efficient use of renewable resources through multi-energy integration. To cope with the fluctuation power at different timescales, long-term and short-term storage devices are essential. This paper proposes frequency-domain approach determine appropriate capacities hydrogen battery units in an electricity-hydrogen-heat integrated hub. The net demand mapped frequency domain via discrete Fourier transformation (DFT). A continuous spectrum splitting method developed allocate components among generator, storage. Compared time-domain method, it makes better spectral characteristics year-round data, leading robust sizing results without complex modeling uncertainty. In contrast existing cut-off which assigns high-frequency low-frequency generators according frequency, proposed framework allows single component be allocated multiple system devices, not only optimization model convex but also improves optimality. addition, clustering process further reduces number core variables computational efficiency high. rationality verified online operation, where achieves average 1.93% total load shedding rate compared 4.42% verifying operation reliability under While fully utilizing characteristics, investment cost about 22% less than result.

Language: Английский

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Optimal Control Framework for Cost-Effective, Intelligent, Renewable Energy-Driven Communities in Norway, Enhanced by ANN and Grey Wolf Method

Energy, Journal Year: 2024, Volume and Issue: unknown, P. 133922 - 133922

Published: Nov. 1, 2024

Language: Английский

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Flexible design of renewable hydrogen production systems through identifying bottlenecks under uncertainty

Energy, Journal Year: 2024, Volume and Issue: unknown, P. 133323 - 133323

Published: Oct. 1, 2024

Language: Английский

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Robust optimization bidding strategy for user-side resource-side participation in the market distribution of electrical energy and peaking ancillary services considering risk expectations and opportunity constraints

Frontiers in Energy Research, Journal Year: 2024, Volume and Issue: 12

Published: Oct. 29, 2024

Compared to traditional resources, user-side resources are of various types and have more significant uncertainty about their regulatory capacity, leading difficulties in coordinating decisions simultaneous participation the electric energy peaking ancillary services markets. This paper proposes a joint bidding decision-making method for day-ahead electricity peak shaving auxiliary service market based on distributed robust opportunity constraints, which addresses problem difficulty using an accurate probability density distribution represent process resources. Firstly, data-driven characterizing load regulation capacity is investigated, fuzzy sets constructed without assuming specific distributions random variables. Then, minimize risk expectation cost customer side, strategy that considers proposed. Finally, example simulation verifies reasonableness effectiveness proposed method, results show model overcomes over-conservatism model, computational adaptability better than stochastic achieves balance between robustness economy.

Language: Английский

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