Bilevel approach to wind-CSP day-ahead scheduling with spinning reserve under controllable degree of trust

This paper proposes a day-ahead schedule harmonization between wind power plants and concentrating solar thermal power plants having thermal energy storage. The negative correlation between wind power and solar power is computed and an artificial neural network method estimates the power. The schedu...

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Bibliographic Details
Published in:Renewable energy Vol. 85; pp. 917 - 927
Main Authors: Pousinho, H.M.I., Esteves, J., Mendes, V.M.F., Collares-Pereira, M., Pereira Cabrita, C.
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.01.2016
Subjects:
Bilevel programming
case studies
electricity
energy
linear programming
markets
n – K security criterion
neural networks
power plants
profit maximization
solar thermal energy
spinning
Spinning reserve
Transmission constraints
wind power
Wind-CSP day-ahead schedule
Bilevel programming
Wind-CSP day-ahead schedule
Spinning reserve
Transmission constraints
n – K security criterion
ISSN:0960-1481, 1879-0682
Online Access:Get full text
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Summary:This paper proposes a day-ahead schedule harmonization between wind power plants and concentrating solar thermal power plants having thermal energy storage. The negative correlation between wind power and solar power is computed and an artificial neural network method estimates the power. The schedule is carried out by a bilevel mathematical programming approach. The upper-level determines energy and spinning reserve schedule by the maximization of profit subject to all lower-level problems. Lower-level problems minimize the post-contingency power output. A controllable degree of trust on the schedule is introduced based on n – K security criterion for worst-case contingency. The approach uses duality theory and problem approximations for a conversion into an equivalent mixed-integer linear programming problem. A case study is presented to illustrate the effectiveness of the approach for power producers not only with transmission constraints, but also valuing safekeeping on the day-ahead schedule to ensure a degree trust on the satisfaction of compromises within electricity markets. •Optimal scheduling of wind power with CSP plants having TES.•Impact assessment of transmission constraints.•Economic impact of n – K security criterion.•Evaluation of the benefit of wind power with CSP plants having TES.
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ISSN:0960-1481
1879-0682
DOI:10.1016/j.renene.2015.07.022