Results 171 to 180 of about 291 (205)

Downside Risk Constrained Probabilistic Optimal Power Flow With Wind Power Integrated

IEEE Transactions on Power Systems, 2016
This letter proposes a concept of the downside risk (DR) for the study of probabilistic optimal power flow (POPF) with wind power integrated. It aims to obtain optimal dispatch solutions with the minimal expectation of generation cost and the minimal downside risk.
Y. Z. Li, Q. H. Wu
exaly   +2 more sources

Data-Driven Nonparametric Probabilistic Optimal Power Flow: An Integrated Probabilistic Forecasting and Analysis Methodology

IEEE Transactions on Power Systems, 2023
Zhaojing Cao, Yonghua Song, Can Wan
exaly   +2 more sources

Probabilistic optimal power flow

Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341), 2002
This paper presents a new formulation and solution approach to a probabilistic optimal power flow (POPF) problem. In this formulation, system demand is taken as a random vector of correlated variables, which allows us to consider the dependence between load types and locations. The POPF is clearly formulated and the optimality conditions are considered
M. Madrigal, K. Ponnambalam, V.H. Quintana   +2 more
openaire   +1 more source

Probabilistic Optimal Power Flow Applications to Electricity Markets

2006 International Conference on Probabilistic Methods Applied to Power Systems, 2006
This paper presents the comparison of two solution methods for Probabilistic Optimal Power Flow problems; namely, the Two-Point Estimate Method (2PEM) and the Cumulant Method (CM). The goal of the P-OPF problem is to determine the probability distributions for all random variables in the problem.
Gregor Verbic, Antony Schellenberg, William Rosehart, Claudio A. Canizares   +3 more
openaire   +2 more sources

Optimal power flow using probabilistic load model

Proceedings of the Thirty-Seventh Southeastern Symposium on System Theory, 2005. SSST '05., 2005
Optimal power flow (OPF) analysis has been an area attracting lots of researchers. Much computational efforts have been exercised for the last several years to develop mathematical models and computational techniques to solve OPF problems. Conventional OPF studies are carried out considering the injections at the bus to be deterministic.
M. Shukla, G. Radman
openaire   +1 more source

Probabilistic security-constrained AC optimal power flow

2013 IEEE Grenoble Conference, 2013
We propose a probabilistic framework for designing an N-1 secure dispatch for systems with fluctuating power sources. This could be used in various optimal power flow related applications, however in this work, we demonstrate our approach for a day-ahead planning problem.
Maria Vrakopoulou, Marina Katsampani, Kostas Margellos, John Lygeros, Goran Andersson   +4 more
openaire   +1 more source

Probabilistic optimal power flow using unscented transformation

2015 North American Power Symposium (NAPS), 2015
Renewable energy-based generation causes uncertainties in power system operation and planning due to its stochastic nature. Probabilistic optimal power flow (POPF) is a tool to solve for the random variables of this nonlinear power flow problem. In this paper, the unscented transformation (UT) is utilized to solve POPF with correlated random variables ...
C. Qiao, H. Livani, M. Sami Fadali
openaire   +1 more source

Optimal Power Flow Models With Probabilistic Guarantees: A Boolean Approach

IEEE Transactions on Power Systems, 2020
The legacy Optimal Power Flow (OPF) dispatch in electric power grids with high proliferation of renewables can be at risk due to the lack of awareness on major uncertainties, and sudden changes in renewable outputs. This may, in turn, result in conditions where transmission line power flows are significantly exceeded, and subsequent automatic ...
Miguel A. Lejeune, Payman Dehghanian
openaire   +1 more source

Probabilistic optimal power flow for power systems considering wind uncertainty and load correlation

Neurocomputing, 2015
Abstract Considering wind uncertainty and load correlation, this paper is concerned with the probabilistic optimal power flow (POPF) calculation. The POPF model for wind-integration power system is firstly proposed. Two kinds of schemes in point estimate method, 2m and 2m+1 scheme, are then employed to solve the POPF.
Xue Li 0028, Jia Cao, Dajun Du
openaire   +1 more source

Optimal Probabilistic Power Flow in ac-dc Hybrid Microgrid

2020 IEEE Students Conference on Engineering & Systems (SCES), 2020
The dc based consumer loads and energy storage options have seen significant growth in past few years. It has led to consolidation of ac and dc microgrids into hybrid microgrids. The planning of real time optimal operation of hybrid microgrids requires probabilistic modelling of time varying loading conditions.
Himani Kala, Mahiraj Singh Rawat
openaire   +1 more source