A multi-objective optimization framework for risk-controlled integration of renewable generation into electric power systems

Energy ◽

10.1016/j.energy.2016.03.056 ◽

2016 ◽

Vol 106 ◽

pp. 712-727 ◽

Author(s):

Rodrigo Mena ◽

Martin Hennebel ◽

Yan-Fu Li ◽

Enrico Zio

Keyword(s):

Power Systems ◽

Electric Power ◽

Electric Power Systems ◽

Renewable Generation ◽

Multi Objective Optimization ◽

Multi Objective ◽

Optimization Framework

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Multi-objective optimization techniques and applications in electric power systems

2012 47th International Universities Power Engineering Conference (UPEC) ◽

10.1109/upec.2012.6398417 ◽

2012 ◽

Author(s):

M. O. W. Grond ◽

N. H. Luong ◽

J. Morren ◽

J. G. Slootweg

Keyword(s):

Power Systems ◽

Electric Power ◽

Electric Power Systems ◽

Optimization Techniques ◽

Multi Objective Optimization ◽

Multi Objective

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Application of multi-objective PID controller for load frequency control in two-area nonlinear electric power systems

International Journal of Power and Energy Conversion ◽

10.1504/ijpec.2016.076525 ◽

2016 ◽

Vol 7 (2) ◽

pp. 139 ◽

Author(s):

Magdy A.S. Aboelela

Keyword(s):

Power Systems ◽

Electric Power ◽

Pid Controller ◽

Frequency Control ◽

Electric Power Systems ◽

Load Frequency Control ◽

Multi Objective ◽

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Toward Carbon-Neutral Electric Power Systems in the New York State: a Novel Multi-Scale Bottom-Up Optimization Framework Coupled with Machine Learning for Capacity Planning at Hourly Resolution

ACS Sustainable Chemistry & Engineering ◽

10.1021/acssuschemeng.1c06612 ◽

2021 ◽

Author(s):

Ning Zhao ◽

Fengqi You

Keyword(s):

Machine Learning ◽

New York ◽

Power Systems ◽

Electric Power ◽

Capacity Planning ◽

New York State ◽

Electric Power Systems ◽

Multi Scale ◽

Optimization Framework

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A real-time multi-objective optimization framework for wind farm integrated power systems

Journal of Power Sources ◽

10.1016/j.jpowsour.2021.229914 ◽

2021 ◽

Vol 498 ◽

pp. 229914

Author(s):

S. Ida Evangeline ◽

P. Rathika

Keyword(s):

Power Systems ◽

Real Time ◽

Wind Farm ◽

Multi Objective Optimization ◽

Multi Objective ◽

Optimization Framework ◽

Integrated Power Systems

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A risk-based simulation and multi-objective optimization framework for the integration of distributed renewable generation and storage

Renewable and Sustainable Energy Reviews ◽

10.1016/j.rser.2014.05.046 ◽

2014 ◽

Vol 37 ◽

pp. 778-793 ◽

Author(s):

Rodrigo Mena ◽

Martin Hennebel ◽

Yan-Fu Li ◽

Carlos Ruiz ◽

Enrico Zio

Keyword(s):

Renewable Generation ◽

Multi Objective Optimization ◽

Multi Objective ◽

Optimization Framework ◽

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A probabilistic study of electric power systems considering the uncertainties of renewable generation and loads

2011 6th International Conference on System of Systems Engineering ◽

10.1109/sysose.2011.5966598 ◽

2011 ◽

Author(s):

Justin Goza ◽

Kevin Wedeward ◽

Michael Smith

Keyword(s):

Power Systems ◽

Electric Power ◽

Electric Power Systems ◽

Renewable Generation ◽

Probabilistic Study

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A multi-objective formulation of improving flexibility in the operation of electric power systems: application to mitigation measures during the coronavirus pandemic

Energy ◽

10.1016/j.energy.2021.120471 ◽

2021 ◽

pp. 120471

Author(s):

Gonzalo E. Alvarez

Keyword(s):

Power Systems ◽

Electric Power ◽

Electric Power Systems ◽

Mitigation Measures ◽

Multi Objective

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STABILITY OF ELECTRIC POWER SYSTEMS AS THE TASK OF NONLINEAR MECHANICS

Praci Institutu elektrodinamiki Nacionalanoi akademii nauk Ukraini ◽

10.15407/publishing2018.49.005 ◽

2018 ◽

Vol 2018 (49) ◽

pp. 5-10

Author(s):

V. M. Avramenko Avramenko ◽

Keyword(s):

Power Systems ◽

Electric Power ◽

Electric Power Systems ◽

Nonlinear Mechanics

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Operation and Planning of Electric Power Systems Utilizing Big Data in Electric Energy Field

IEEJ Transactions on Power and Energy ◽

10.1541/ieejpes.139.406 ◽

2019 ◽

Vol 139 (6) ◽

pp. 406-409

Author(s):

Hirotaka Takano

Keyword(s):

Big Data ◽

Power Systems ◽

Electric Power ◽

Electric Energy ◽

Electric Power Systems ◽

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Real Time Disturbance Recognition in Electric Power Systems

10.23919/acc.1986.4789243 ◽

1986 ◽

Author(s):

Gregory L. Mealy

Keyword(s):

Power Systems ◽

Electric Power ◽

Real Time ◽

Electric Power Systems

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