Open AccessWind-CSP short-term coordination by MILP approach
Author(s) -
H.M.I. Pousinho,
Manuel Collares-Pereira,
Hugo Silva,
Carlos M. P. Cabrita,
V.M.F. Mendes
Publication year - 2014
Publication title -
portuguese national funding agency for science, research and technology (rcaap project by fct)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1049/cp.2014.0889
Subject(s) - profit maximization , wind power , computer science , mathematical optimization , maximization , scheduling (production processes) , profit (economics) , integer programming , virtual power plant , linear programming , grid , solar power , thermal energy storage , term (time) , job shop scheduling , renewable energy , operations research , distributed generation , power (physics) , engineering , electrical engineering , economics , algorithm , mathematics , microeconomics , quantum mechanics , physics , ecology , biology , operating system , schedule , geometry
This paper is on the maximization of total profit in a day-ahead market for a price-taker producer needing a short-term scheduling for wind power plants coordination with concentrated solar power plants, having thermal energy storage systems. The optimization approach proposed for the maximization of profit is a mixed-integer linear programming problem. The approach considers not only transmission grid constraints, but also technical operating constraints on both wind and concentrated solar power plants. Then, an improved short-term scheduling coordination is provided due to the more accurate modelling presented in this paper. Computer simulation results based on data for the Iberian wind and concentrated solar power plants illustrate the coordination benefits and show the effectiveness of the approach
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