Deep learning to optimize: Security-constrained unit commitment with uncertain wind power generation and BESSs
This paper proposes a new model of scenario-based security-constrained unit commitment
(SCUC) with BESSs. By formulating such a model as a mixed-integer programming (MIP) …
(SCUC) with BESSs. By formulating such a model as a mixed-integer programming (MIP) …
Privacy-preserving distributed optimal power flow with partially homomorphic encryption
Distribution grid agents are obliged to exchange and disclose their states explicitly to
neighboring regions to enable distributed optimal power flow dispatch. However, the states …
neighboring regions to enable distributed optimal power flow dispatch. However, the states …
[HTML][HTML] A random optimization strategy of microgrid dispatching based on stochastic response surface method considering uncertainty of renewable energy supplies …
Y Liang, Z Xu, H Li, G Wang, Z Huang, Z Li - International Journal of …, 2023 - Elsevier
The stochastic response of microgrid regulation under the influence of uncertainty should be
considered in the day-ahead optimal dispatching. This paper focuses on the Stochastic …
considered in the day-ahead optimal dispatching. This paper focuses on the Stochastic …
Battery energy storage-based system damping controller for alleviating sub-synchronous oscillations in a DFIG-based wind power plant
This paper presents the issue of the Sub-synchronous resonance (SSR) phenomenon in a
series compensated DFIG-based wind power plant and its alleviation using a Battery Energy …
series compensated DFIG-based wind power plant and its alleviation using a Battery Energy …
Distributed AC-DC optimal power dispatch of VSC-based energy routers in smart microgrids
This paper presents a novel model of voltage source converter (VSC) based energy routers
(ERs) in microgrids. The proposed model explicitly describes the circuit laws within the ERs …
(ERs) in microgrids. The proposed model explicitly describes the circuit laws within the ERs …
Distribution network expansion planning approach for large scale electric vehicles accommodation
The increased power demand incurred by electric vehicles (EVs) has imposed new
challenges on the distribution network. One significant responsibility of the distribution …
challenges on the distribution network. One significant responsibility of the distribution …
Two-stage day-ahead and intra-day scheduling considering electric arc furnace control and wind power modal decomposition
X Zhao, Y Wang, C Liu, G Cai, W Ge, B Wang, D Wang… - Energy, 2024 - Elsevier
As the uncertainty in energy supply increases, engaging various flexible resources in power
systems has emerged as an effective strategy to address wind curtailment issues. Existing …
systems has emerged as an effective strategy to address wind curtailment issues. Existing …
Multi-period voltage stability-constrained optimal power flow with uncertainties
J Liu, L Wang, T Jiao, W Yang, R Xu, K Wu, H Ha - Applied Energy, 2024 - Elsevier
Most multi-period optimal power flow (MP-OPF) focuses on economic goals. However, with
the increasing penetration of renewables, power systems face specific challenges to ensure …
the increasing penetration of renewables, power systems face specific challenges to ensure …
Enhancing stability via coordinated control of generators, wind farms, and energy storage: Optimizing system parameters
This study delves into the intricacies of power system stability, specifically addressing the
challenges posed by integrating renewable energy sources, primarily focusing on wind …
challenges posed by integrating renewable energy sources, primarily focusing on wind …
More efficient energy management for networked hybrid AC/DC microgrids with multivariable nonlinear conversion losses
Accurate conversion loss models are the keys to guarantee the more efficient operation of
networked hybrid ac/dc microgrids (N-ac/dc-MGs). A two-stage stochastic unit commitment …
networked hybrid ac/dc microgrids (N-ac/dc-MGs). A two-stage stochastic unit commitment …