An enhanced particle swarm optimization algorithm to solve probabilistic load flow problem in a micro-grid
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-020-01872-4
Abstract: This paper presents an Enhanced PSO (EPSO) method to address the weaknesses associated with the traditional PSO such as high sensitivity to the initial conditions, fast convergence, decline of solutions’ variety, and trapping in the… read more here.
Keywords: proposed epso; optimization; load flow; probabilistic load ... See more keywords
An ensemble approach to GEFCom2017 probabilistic load forecasting
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Forecasting"
DOI: 10.1016/j.ijforecast.2019.02.003
Abstract: Abstract We present an ensembling approach to medium-term probabilistic load forecasting which ranked second out of 73 competitors in the defined data track of the GEFCom2017 qualifying match. In addition to being accurate, the ensemble… read more here.
Keywords: gefcom2017; load forecasting; probabilistic load; approach ... See more keywords
Two-Stage Bootstrap Sampling for Probabilistic Load Forecasting
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Engineering Management"
DOI: 10.1109/tem.2020.2967352
Abstract: The integration of distributed renewable energy and the implementation of the demand response complicate the change patterns of load profiles and present great uncertainties. Probabilistic load forecasting, an effective method for capturing the future load… read more here.
Keywords: probabilistic load; load forecasting; two stage; bootstrap ... See more keywords
Optimal Allocation of EV Charging Stations in a Radial Distribution Network Using Probabilistic Load Modeling
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3103419
Abstract: Electric vehicle (EV) charging stations (CSs) are the coupling point between the power grid and the transport network. Operational behaviour of EVs will affect both the networks simultaneously. Thus, the optimal placement of CSs in… read more here.
Keywords: charging stations; network; distribution network; load ... See more keywords
Probabilistic Load Flow Based on Generalized Polynomial Chaos
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2016.2543143
Abstract: An analytical method based on generalized polynomial chaos (gPC) is proposed for probabilistic load flow (PLF). The method preserves the nonlinearity of power flow equations whose rectangular formulations are adopted to facilitate the gPC expansion.… read more here.
Keywords: probabilistic load; generalized polynomial; based generalized; polynomial chaos ... See more keywords
A Data-Driven Nonparametric Approach for Probabilistic Load-Margin Assessment Considering Wind Power Penetration
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2020.2987900
Abstract: A modern power system is characterized by an increasing penetration of wind power, which results in large uncertainties in its states. These uncertainties must be quantified properly; otherwise, the system security may be threatened. Facing… read more here.
Keywords: probabilistic load; power; load margin; data driven ... See more keywords
Kernel Structure Design for Data-Driven Probabilistic Load Flow Studies
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2022.3159579
Abstract: In power system analysis, probabilistic load flow (PLF) accounts for uncertainties stemming from power entities such as renewable generation systems and consumer demands. In this paper, we present a Gaussian Process (GP) emulator for enabling… read more here.
Keywords: process; data driven; load flow; probabilistic load ... See more keywords