@article{(Open Science Index):https://publications.waset.org/pdf/17139,
	  title     = {Profit Optimization for Solar Plant Electricity Production},
	  author    = {Fl. Loury and  P. Sablonière},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper a stochastic scenario-based model predictive control applied to molten salt storage systems in concentrated solar tower power plant is presented. The main goal of this study is to build up a tool to analyze current and expected future resources for evaluating the weekly power to be advertised on electricity secondary market. This tool will allow plant operator to maximize profits while hedging the impact on the system of stochastic variables such as resources or sunlight shortage.

Solving the problem first requires a mixed logic dynamic modeling of the plant. The two stochastic variables, respectively the sunlight incoming energy and electricity demands from secondary market, are modeled by least square regression. Robustness is achieved by drawing a certain number of random variables realizations and applying the most restrictive one to the system. This scenario approach control technique provides the plant operator a confidence interval containing a given percentage of possible stochastic variable realizations in such a way that robust control is always achieved within its bounds. The results obtained from many trajectory simulations show the existence of a ‘’reliable’’ interval, which experimentally confirms the algorithm robustness.
},
	    journal   = {International Journal of Mechanical and Mechatronics Engineering},
	  volume    = {7},
	  number    = {10},
	  year      = {2013},
	  pages     = {2032 - 2036},
	  ee        = {https://publications.waset.org/pdf/17139},
	  url   	= {https://publications.waset.org/vol/82},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 82, 2013},
	}