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Smart grid architecture model for control, optimization and data analytics of future power networks with more renewable energy
This paper describes a generic methodology to develop mathematical and computational
models of different components of the smart grid architecture model (SGAM). The SGAM …
models of different components of the smart grid architecture model (SGAM). The SGAM …
Large-scale unit commitment under uncertainty: an updated literature survey
Abstract The Unit Commitment problem in energy management aims at finding the optimal
production schedule of a set of generation units, while meeting various system-wide …
production schedule of a set of generation units, while meeting various system-wide …
Probabilistic forecasting of wind power generation using extreme learning machine
Accurate and reliable forecast of wind power is essential to power system operation and
control. However, due to the nonstationarity of wind power series, traditional point …
control. However, due to the nonstationarity of wind power series, traditional point …
Adaptive robust optimization for the security constrained unit commitment problem
Unit commitment, one of the most critical tasks in electric power system operations, faces
new challenges as the supply and demand uncertainty increases dramatically due to the …
new challenges as the supply and demand uncertainty increases dramatically due to the …
Probabilistic spatiotemporal wind speed forecasting based on a variational Bayesian deep learning model
Y Liu, H Qin, Z Zhang, S Pei, Z Jiang, Z Feng, J Zhou - Applied Energy, 2020 - Elsevier
Reliable and accurate probabilistic forecasting of wind speed is of vital importance for the
utilization of wind energy and operation of power systems. In this paper, a probabilistic …
utilization of wind energy and operation of power systems. In this paper, a probabilistic …
Distributed energy trading in microgrids: A game-theoretic model and its equilibrium analysis
This paper proposes a distributed mechanism for energy trading among microgrids in a
competitive market. We consider multiple interconnected microgrids in a region where, at a …
competitive market. We consider multiple interconnected microgrids in a region where, at a …
[HTML][HTML] Temporal collaborative attention for wind power forecasting
Wind power serves as a clean and sustainable form of energy. However, its generation is
fraught with variability and uncertainty, owing to the stochastic and dynamic characteristics …
fraught with variability and uncertainty, owing to the stochastic and dynamic characteristics …
Multistage adaptive robust optimization for the unit commitment problem
The growing uncertainty associated with the increasing penetration of wind and solar power
generation has presented new challenges to the operation of large-scale electric power …
generation has presented new challenges to the operation of large-scale electric power …
Flexible operation of batteries in power system scheduling with renewable energy
The fast growing expansion of renewable energy increases the complexities in balancing
generation and demand in the power system. The energy-shifting and fast-ram** …
generation and demand in the power system. The energy-shifting and fast-ram** …
Multiarea stochastic unit commitment for high wind penetration in a transmission constrained network
In this paper we present a unit commitment model for studying the impact of large-scale wind
integration in power systems with transmission constraints and system component failures …
integration in power systems with transmission constraints and system component failures …