Economic MPC applied to generation scheduling in CSP plants

作     者：Vasallo M.J. Bravo J.M. Marín D. Gegúndez M.E. 

作者机构：Departamento de Ingeniería Electrónic de Sistemas Informáticos y Automática ETSI Universidad de Huelva Spain 

出 版 物：《IFAC-PapersOnLine》 

年 卷 期：2017年第50卷第1期

页      面：115-120页

基　　金：Ministerio de Economía y Competitividad Ministerio de Fomento: SPpI2a0in1  6.-76493-C3-2-R 

主　　题：control of power systems Energy market integration Model predictive Modeling Optimal operation optimization-based control Planning simulation of power systems 

摘      要：This paper proposes a model-based predictive control (MPC) approach with economic objective function to face the scheduling problem in concentrating solar power (CSP) plants with thermal energy storage (TES) in a day-ahead energy market context. By this approach, the most recent energy prices, weather forecast and the current plant s state can be used by the proposed economic MPC approach to reschedule the generation conveniently from time to time. The proposed approach is applied, in a simulation context, to a 50 MW parabolic trough collector-based CSP with TES under the assumption of perfect price forecast and participation in the Spanish day-ahead energy market. A case study based on a four-month period to test several meteorological conditions is performed. In this study, a complete economic analysis is carried out using actual values of energy price, penalty cost, solar resource data and its forecast. Results show an economic improvement in comparison with a traditional day-ahead scheduling strategy. © 2017