Results 1 to 10 of about 291 (205)

A probabilistic resilience assessment method for distribution system operation with probabilistic optimal power flow

Energy Reports, 2022
The modern power distribution systems are vulnerable to natural disasters and malicious attacks, while the uncertainty of a large amount of renewable energy sources (RESs) further increases their operational risk in extreme events.
Chaofan Lin, Chen Chen, Zhaohong Bie
doaj   +4 more sources

Preventive Security-Constrained Optimal Power Flow with Probabilistic Guarantees [PDF]

Energies, 2020
The traditional security-constrained optimal power flow (SCOPF) model under the classical N-1 criterion is implemented in the power industry to ensure the secure operation of a power system.
Hang Li, Zhe Zhang, Xianggen Yin, Buhan Zhang   +3 more
doaj   +2 more sources

Probabilistic optimal power flow of an AC/DC system with a multiport current flow controller

CSEE Journal of Power and Energy Systems, 2021
To evaluate the impact of the randomness and correlation of photovoltaic (PV) and load on AC/DC systems with a multiport current flow controller (M-CFC), this paper proposes a probabilistic optimal power flow calculation for AC/DC systems based on a nonparametric kernel density estimation.
Jing Bian, He Wang, Limeng Wang, Guoqing Li, Zhenhao Wang   +4 more
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Probabilistic Optimal Power Flow Solution Using a Novel Hybrid Metaheuristic and Machine Learning Algorithm

Mathematics, 2022
This paper proposes a novel hybrid optimization technique based on a machine learning (ML) approach and transient search optimization (TSO) to solve the optimal power flow problem. First, the study aims at developing and evaluating the proposed hybrid ML-
Mohamed A. M. Shaheen, Hany M. Hasanien, Said F. Mekhamer, Mohammed H. Qais, Saad Alghuwainem, Zia Ullah, Marcos Tostado-Véliz, Rania A. Turky, Francisco Jurado, Mohamed R. Elkadeem   +9 more
doaj   +3 more sources

Probabilistic optimal power flow computation for power grid including correlated wind sources

IET Generation, Transmission & Distribution
This paper sets out to develop an efficient probabilistic optimal power flow (POPF) algorithm to assess the influence of wind power on power grid. Given a set of wind data at multiple sites, their marginal distributions are fitted by a newly developed ...
Qing Xiao, Zhuangxi Tan, Min Du
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Probabilistic analysis for optimal power flow under uncertainty

IET Generation, Transmission and Distribution, 2010
This study presents a probabilistic analysis to consider the impact of uncertain system parameters on optimal power flow (OPF). A general OPF under uncertainty is formulated as a chance-constrained programming model and its stochastic features are investigated.
Pu Li
exaly   +2 more sources

Gaussian Process Learning-Based Probabilistic Optimal Power Flow [PDF]

IEEE Transactions on Power Systems, 2021
In this letter, we present a novel Gaussian Process Learning-based Probabilistic Optimal Power Flow (GP-POPF) for solving POPF under renewable and load uncertainties of arbitrary distribution. The proposed method relies on a non-parametric Bayesian inference-based uncertainty propagation approach, called Gaussian Process (GP).
Parikshit Pareek, Hung D. Nguyen
openaire   +3 more sources

Probabilistic Multi-Objective Optimal Power Flow in an AC/DC Hybrid ‎Microgrid Considering Emission Cost [PDF]

Journal of Operation and Automation in Power Engineering, 2022
As a basic tool in power system control and operation, the optimal power flow (OPF) problem searches the optimal operation point via minimizing different objectives and maintaining the control variables within their applicable regions.
A. Jasemi, H. Abdi
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Comparison between Probabilistic Optimal Power Flow and Probabilistic Power Flow with Carbon Emission Consideration [PDF]

2015 IEEE International Conference on Systems, Man, and Cybernetics, 2015
With more uncertainty and variability existing in smart grid, deterministic load flow, which is used to analyze the operation conditions on a daily routine and planning the power systems for future investment, could not solve the problems with consideration of renewable generation intermittence and load variation.
Hao-Tian Zhang, Chun Sing Lai, Fang-Yuan Xu, Loi Lei Lai   +3 more
openaire   +1 more source

Solution of Probabilistic Optimal Power Flow Incorporating Renewable Energy Uncertainty Using a Novel Circle Search Algorithm

Energies, 2022
Integrating renewable energy sources (RESs) into modern electric power systems offers various techno-economic benefits. However, the inconsistent power profile of RES influences the power flow of the entire distribution network, so it is crucial to ...
Mohamed A. M. Shaheen, Zia Ullah, Mohammed H. Qais, Hany M. Hasanien, Kian J. Chua, Marcos Tostado-Véliz, Rania A. Turky, Francisco Jurado, Mohamed R. Elkadeem   +8 more
doaj   +1 more source