A Literature Review of Stochastic Programming and Unit Commitment

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Journal of Power and Energy Engineering

ISSN Print: 2327-588X
ISSN Online: 2327-5901
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"A Literature Review of Stochastic Programming and Unit Commitment"
written by Hang Dai, Ni Zhang, Wencong Su,
published by Journal of Power and Energy Engineering, Vol.3 No.4, 2015

has been cited by the following article(s):

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[1]	Power market models for the clean energy transition: State of the art and future research needs Applied Energy, 2024 DOI:10.1016/j.apenergy.2023.122495

[2]	Power market models for the clean energy transition: State of the art and future research needs Applied Energy, 2024 DOI:10.1016/j.apenergy.2023.122495

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[5]	Unit commitment problem for transmission system, models and approaches: A review Electric Power Systems Research, 2023 DOI:10.1016/j.epsr.2023.109671

[6]	A more efficient microgrid operation through the integration of probabilistic solar forecasts Sustainable Energy, Grids and Networks, 2022 DOI:10.1016/j.segan.2022.100783

[7]	A Polynomial-Time Algorithm with Tight Error Bounds for Single-Period Unit Commitment Problem Journal of the Operations Research Society of China, 2022 DOI:10.1007/s40305-021-00376-3

[8]	Optimal Unit commitment using heuristic technique considering environmental effect 2022 13th International Conference on Electrical Engineering (ICEENG), 2022 DOI:10.1109/ICEENG49683.2022.9781932

[9]	A more efficient microgrid operation through the integration of probabilistic solar forecasts Sustainable Energy, Grids and Networks, 2022 DOI:10.1016/j.segan.2022.100783

[10]	Scheduling energy and spinning reserve based on linear chance constrained optimization for a wind integrated power system Ain Shams Engineering Journal, 2022 DOI:10.1016/j.asej.2021.09.009

[11]	A two-level model to define the energy procurement contract and daily operation schedule of microgrids Sustainable Energy, Grids and Networks, 2021 DOI:10.1016/j.segan.2021.100459

[12]	Uncertainty in Unit Commitment in Power Systems: A Review of Models, Methods, and Applications Energies, 2021 DOI:10.3390/en14206658

[13]	Impact Analysis of Renewable Energy based Generation in West Africa – A case study of Nigeria Problemy Ekorozwoju, 2021 DOI:10.35784/pe.2021.1.08

[14]	Impact Analysis of Renewable Energy based Generation in West Africa – A case study of Nigeria Problemy Ekorozwoju, 2021 DOI:10.35784/pe.2021.1.08

[15]	Effect Of Data Preprocessing on the Forecasting Accuracy of Solar Power Plant 2021 XVIII International Scientific Technical Conference Alternating Current Electric Drives (ACED), 2021 DOI:10.1109/ACED50605.2021.9462288

[16]	Unit commitment problem in renewable integrated environment with storage: A review International Transactions on Electrical Energy Systems, 2021 DOI:10.1002/2050-7038.12775

[17]	Uncertainty in Unit Commitment in Power Systems: A Review of Models, Methods, and Applications Energies, 2021 DOI:10.3390/en14206658

[18]	A two-level model to define the energy procurement contract and daily operation schedule of microgrids Sustainable Energy, Grids and Networks, 2021 DOI:10.1016/j.segan.2021.100459

[19]	Multivariate Stochastic Optimization Approach Applied in a Flux-Cored Arc Welding Process IEEE Access, 2020 DOI:10.1109/ACCESS.2020.2983566

[20]	The Impact of Data Filtration on the Accuracy of Multiple Time-Domain Forecasting for Photovoltaic Power Plants Generation Applied Sciences, 2020 DOI:10.3390/app10228265

[21]	Profit-based unit commitment problem: A review of models, methods, challenges, and future directions Renewable and Sustainable Energy Reviews, 2020 DOI:10.1016/j.rser.2020.110504

[22]	Stochastic unit commitment in microgrids: Influence of the load forecasting error and the availability of energy storage Renewable Energy, 2020 DOI:10.1016/j.renene.2019.08.032

[23]	The Impact of Data Filtration on the Accuracy of Multiple Time-Domain Forecasting for Photovoltaic Power Plants Generation Applied Sciences, 2020 DOI:10.3390/app10228265

[24]	Energy Storage System Analysis Review for Optimal Unit Commitment Energies, 2019 DOI:10.3390/en13010158

[25]	Evaluati on of long-term start up costs impact on short-term price based operational optimization of a CCGT using MILP E3S Web of Conferences, 2019 DOI:10.1051/e3sconf/201913701012

[26]	Prediction of Solar Power Generation Based on Random Forest Regressor Model 2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON), 2019 DOI:10.1109/SIBIRCON48586.2019.8958063

[27]	Unit commitment using improved adjustable robust optimisation for large‐scale new energy power stations The Journal of Engineering, 2019 DOI:10.1049/joe.2018.8926

[28]	Fundamentals and recent developments in stochastic unit commitment International Journal of Electrical Power & Energy Systems, 2019 DOI:10.1016/j.ijepes.2019.01.037

[29]	Unit commitment using improved adjustable robust optimisation for large‐scale new energy power stations The Journal of Engineering, 2019 DOI:10.1049/joe.2018.8926

[30]	Energy Storage System Analysis Review for Optimal Unit Commitment Energies, 2019 DOI:10.3390/en13010158

[31]	Stochastic modelling of renewable energy sources from operators' point-of-view: A survey Renewable and Sustainable Energy Reviews, 2018 DOI:10.1016/j.rser.2017.06.006

[32]	Stochastic modelling of renewable energy sources from operators' point-of-view: A survey Renewable and Sustainable Energy Reviews, 2018 DOI:10.1016/j.rser.2017.06.006

[33]	Stochastic modelling of renewable energy sources from operators' point-of-view: A survey Renewable and Sustainable Energy Reviews, 2018 DOI:10.1016/j.rser.2017.06.006

[34]	Short term electricity demand forecasting using partially linear additive quantile regression with an application to the unit commitment problem Applied Energy, 2018 DOI:10.1016/j.apenergy.2018.03.155

[35]	Stochastic modelling of renewable energy sources from operators' point-of-view: A survey Renewable and Sustainable Energy Reviews, 2018 DOI:10.1016/j.rser.2017.06.006

[36]	Stochastic Unit Commitment in Microgrids based on Model Predictive Control 2018 International Conference on Smart Energy Systems and Technologies (SEST), 2018 DOI:10.1109/SEST.2018.8495736

[37]	Forecast-based Optimization of Islanded Microgrids 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2018 DOI:10.1109/ISGTEurope.2018.8571679

[38]	Short term electricity demand forecasting using partially linear additive quantile regression with an application to the unit commitment problem Applied Energy, 2018 DOI:10.1016/j.apenergy.2018.03.155

[39]	Fix-and-optimize procedures for solving the long-term unit commitment problem with pumped storages Annals of Operations Research, 2018 DOI:10.1007/s10479-018-2900-5

[40]	Analysis on the interaction between short-term operating reserves and adequacy Energy Policy, 2018 DOI:10.1016/j.enpol.2018.06.012

[41]	Computational Approach for the Firm’s Cost Minimization Problem Using the Selective Infimal Convolution Operator Computational Economics, 2018 DOI:10.1007/s10614-018-9841-6

[42]	Optimal Booster Station Design and Operation under Uncertain Load Applied Mechanics and Materials, 2018 DOI:10.4028/www.scientific.net/AMM.885.102

[43]	Treatment of uncertainty for next generation power systems: State-of-the-art in stochastic optimization Electric Power Systems Research, 2016 DOI:10.1016/j.epsr.2016.08.009

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