A Nash-Cournot approach to assessing flexible ramping products

Abstract Renewables are increasingly penetrating power systems and impacting electricity markets supported by the stricter energy and environmental policies. To handle the variability and uncertainty of renewable generation and to provide transparent economic incentives for resources to provide flexible services, a bid-based flexible ramping products market is proposed in the CAISO and MISO markets. To investigate the impact of these new products on the market equilibrium, a multi-period Nash-Cournot equilibrium model, formulated as a bi-level optimization problem, was proposed, and the Guass-Seidel iterative method was used to obtain the equilibrium. Moreover, a general framework of co-optimization of energy and flexible ramping products was established, and different types of generators, including thermal units, hydro units, renewable units and energy storage systems, are simultaneously considered to reflect their strategic interactions. Two cases with dominant solar power and wind power, respectively, have been implemented and are compared to demonstrate the impact of flexible ramping products on market prices, unit commitment and renewable integration. Additional energy storage systems are also included in the above case for further analysis. Simulation results show that when introducing the new products: the energy prices will increase slightly under normal conditions, more highly variable renewables can be integrated, the unit commitment will be changed, and more generators should be on line to provide flexible services, etc.

[1]  Xiuli Qu,et al.  Modeling methods for GenCo bidding strategy optimization in the liberalized electricity spot market , 2011 .

[2]  Chongqing Kang,et al.  Modeling and algorithm to find the economic equilibrium for pool-based electricity market with the changing generation mix , 2015, 2015 IEEE Power & Energy Society General Meeting.

[3]  Benjamin F. Hobbs,et al.  A flexible ramping product: Can it help real-time dispatch markets approach the stochastic dispatch ideal? , 2014 .

[4]  Vahid Vahidinasab,et al.  Stochastic multiobjective self-scheduling of a power producer in joint energy and reserves markets , 2010 .

[5]  M. Carrion,et al.  A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem , 2006, IEEE Transactions on Power Systems.

[6]  Chongqing Kang,et al.  Evaluating the Contribution of Energy Storages to Support Large-Scale Renewable Generation in Joint Energy and Ancillary Service Markets , 2016, IEEE Transactions on Sustainable Energy.

[7]  Mohammad Shahidehpour,et al.  Sustainable resource planning in energy markets , 2014 .

[8]  M. Anjos,et al.  Tight Mixed Integer Linear Programming Formulations for the Unit Commitment Problem , 2012, IEEE Transactions on Power Systems.

[9]  S. Chou,et al.  Clean, efficient and affordable energy for a sustainable future , 2017 .

[10]  S. Kar,et al.  Risk-Limiting Economic Dispatch for Electricity Markets With Flexible Ramping Products , 2014, IEEE Transactions on Power Systems.

[11]  Nivad Navid,et al.  Market Solutions for Managing Ramp Flexibility With High Penetration of Renewable Resource , 2012, IEEE Transactions on Sustainable Energy.

[12]  J. Contreras,et al.  Nash-Cournot Equilibria in Hydrothermal Electricity Markets , 2011, IEEE Transactions on Power Systems.

[13]  M. Sandiford,et al.  Estimating the value of electricity storage in an energy-only wholesale market , 2015 .

[14]  Mario Ragwitz,et al.  The market value of renewable electricity – Which factors really matter? , 2016 .

[15]  Jianhui Wang,et al.  Review of real-time electricity markets for integrating Distributed Energy Resources and Demand Response , 2015 .

[16]  M. Rothleder,et al.  Enhanced system reliability using flexible ramp constraint in CAISO market , 2012, 2012 IEEE Power and Energy Society General Meeting.

[17]  Gabriela Hug,et al.  A functional approach to assessing flexible ramping products' impact on electricity market , 2015, 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).