Controlling stored energy in a concentrating solar thermal power plant to maximise revenue

New electricity generation technologies are often assessed using simple metrics such as average return, break-even energy prices or levelised cost of electricity. These simple metrics do not always capture the full economic value of a technology, particularly those that can react quickly and efficiently to changes in demand. In a wholesale spot market, opportunities exist to capture greater revenues, as currently achieved by peak power plants. This study demonstrates the use of two complementary methods to determine how storage should be operated to maximise revenue. First, the authors formulate and solve the problem as a linear program. The results indicate that there are distinct control modes. They then use Pontryagin's principle to confirm that the optimal operating strategy has three distinct control modes: (i) store all collected power, without generating, (ii) generate using collected power only and (iii) generate at maximum capacity using both collected and stored power. The mode that should be used at any instant depends only on the spot price of electricity relative to a pair of critical prices. These critical prices depend on the total energy that will be collected and the turnaround efficiency of the storage system.

[1]  Aron Dobos,et al.  System Advisor Model, SAM 2011.12.2: General Description , 2012 .

[2]  Suresh P. Sethi,et al.  A Survey of the Maximum Principles for Optimal Control Problems with State Constraints , 1995, SIAM Rev..

[3]  Kody M. Powell,et al.  Modeling and control of a solar thermal power plant with thermal energy storage , 2012 .

[4]  Abdallah Khellaf,et al.  A review of studies on central receiver solar thermal power plants , 2013 .

[5]  Siddhartha,et al.  Stochastic techniques used for optimization in solar systems: A review , 2012 .

[6]  Robert Pitz-Paal,et al.  Methodology for optimized operation strategies of solar thermal power plants with integrated heat storage , 2011 .

[7]  Markus Eck,et al.  Case Studies on the Use of Solar Irradiance Forecast for Optimized Operation Strategies of Solar Thermal Power Plants , 2008, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[8]  Robert Pitz-Paal,et al.  Theoretical Economic Potential of the Spanisch Premium Tariff for Solar Thermal Power Plants , 2008 .

[9]  Alexander Mitsos,et al.  Optimal operation of a solar-thermal power plant with energy storage and electricity buy-back from grid , 2013 .

[10]  Julio Usaola,et al.  Operation of concentrating solar power plants with storage in spot electricity markets , 2012 .

[11]  R Bellman,et al.  On the Theory of Dynamic Programming. , 1952, Proceedings of the National Academy of Sciences of the United States of America.

[12]  Nate Blair,et al.  Solar Advisor Model User Guide for Version 2.0 , 2008 .

[13]  Consolación Gil,et al.  Optimization methods applied to renewable and sustainable energy: A review , 2011 .

[14]  Aqeel Ahmed Bazmi,et al.  Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A review , 2011 .