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Unified probabilistic gas and power flow [PDF]
Journal of Modern Power Systems and Clean Energy, 2017 The natural gas system and electricity system are coupled tightly by gas turbines in an integrated energy system. The uncertainties of one system will not only threaten its own safe operation but also be likely to have a significant impact on the other ...
Yuan HU +3 more
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Physics-Guided Residual Learning for Probabilistic Power Flow Analysis
IEEE Access, 2023 Probabilistic power flow (PPF) analysis is critical to power system operation and planning. PPF aims at obtaining probabilistic descriptions of the state of the system with stochastic power injections (e.g., renewable power generation and load demands ...
Kejun Chen, Yu Zhang
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Probabilistic power flow with correlated wind sources
IET Generation, Transmission and Distribution, 2010 A probabilistic power flow model that takes into account spatially correlated power sources and loads is proposed. It is particularly appropriate to assess the impact of intermittent generators such as wind power ones on a power network. The proposed model is solved using an extended point estimate method that accounts for dependencies among the input ...
Roberto Mínguez +2 more
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IEEE Access, 2022 Integrating more renewable energy sources into the grid leads to a more vulnerable power system and challenges for power system planners. This paper proposes a probabilistic overload constraint based AC transmission expansion planning model.
Gunes Becerik Mir, Engin Karatepe
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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 +3 more
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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 +8 more
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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
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Probabilistic impact of wind energy integration on distribution transformers
Energy Reports, 2020 In traditional power grid, the direction of power flow of transformers is usually fixed in one direction. However, with the integration of the renewable energy sources, such as wind farms, the power flow in the grid becomes fluctuating and uncertain ...
Quan Li, Nan Zhao
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Energy Reports, 2022 In order to efficiently and accurately evaluate the out of limit risk of photovoltaic power distribution network, the adaptive kernel density estimation (AKDE) method is introduced to fit the actual light intensity sequence, and the probability ...
Yanhong Luo, Xu Wang, Shijie Yan
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Risk-constrained optimal power flow with probabilistic guarantees [PDF]
2014 Power Systems Computation Conference, 2014 Higher penetration of renewable energy and market liberalization increase both the need for transmission capacity and the uncertainty in power system operation. New methods for power system operational planning are needed to allow for efficient use of the grid, while maintaining security and robustness against disturbances.
Line Roald +3 more
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