Optimal Generation Scheduling of Wind-CSP Systems in Day-Ahead Electricity Markets

This paper presents a coordination approach to maximize the total profit of wind power systems coordinated with concentrated solar power systems, having molten-salt thermal energy storage. Both systems are effectively handled by mixed-integer linear programming in the approach, allowing enhancement on the operational during non-insolation periods. Transmission grid constraints and technical operating constraints on both systems are modeled to enable a true management support for the integration of renewable energy sources in day-ahead electricity markets. A representative case study based on real systems is considered to demonstrate the effectiveness of the proposed approach.

[1]  Anurag K. Srivastava,et al.  Security-constrained unit commitment with wind generation and compressed air energy storage , 2012 .

[2]  P. Denholm,et al.  The Value of Concentrating Solar Power and Thermal Energy Storage , 2010, IEEE Transactions on Sustainable Energy.

[3]  J. I. Muñoz,et al.  Optimal coordinated wind-hydro bidding strategies in day-ahead markets , 2013, IEEE Transactions on Power Systems.

[4]  E. Lannoye,et al.  Evaluation of Power System Flexibility , 2012, IEEE Transactions on Power Systems.

[5]  A. Conejo,et al.  Optimal offering strategy for a concentrating solar power plant , 2012 .

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

[7]  Mohammad Shahidehpour,et al.  Generation expansion planning in wind-thermal power systems , 2010 .

[8]  Mohammad Shahidehpour,et al.  Enhancing the Dispatchability of Variable Wind Generation by Coordination With Pumped-Storage Hydro Units in Stochastic Power Systems , 2013, IEEE Transactions on Power Systems.

[9]  A.M. Gonzalez,et al.  Stochastic Joint Optimization of Wind Generation and Pumped-Storage Units in an Electricity Market , 2008, IEEE Transactions on Power Systems.

[10]  Duncan S. Callaway,et al.  Competitive energy storage in the presence of renewables , 2013, IEEE Transactions on Power Systems.

[11]  Paul Denholm,et al.  How Thermal Energy Storage Enhances the Economic Viability of Concentrating Solar Power , 2012, Proceedings of the IEEE.

[12]  H. White A strategy for competitive, sustainable and secure energy , 2014 .

[13]  H. M. I. Pousinho,et al.  An Artificial Neural Network Approach for Short-Term Wind Power Forecasting in Portugal , 2009, 2009 15th International Conference on Intelligent System Applications to Power Systems.

[14]  Hongbin Sun,et al.  Emission-Concerned Wind-EV Coordination on the Transmission Grid Side With Network Constraints: Concept and Case Study , 2013, IEEE Transactions on Smart Grid.

[15]  C.-l. Chen,et al.  Simulated annealing-based optimal wind-thermal coordination scheduling , 2007 .