Optimal Dynamic Tariffs for Flexible Ramp Market in the Presence of Wind Power Generation and Demand Response

The uncertainty and variability as a consequence of modern utilization of wind power in the electrical system besides unpredicted contingencies of the system components can impose crucial challenges on the Independent System Operator's (ISO) performance. In such a situation, increasing operational flexibility is the main way to cover wind power unpredictability and to enable secure operation of the power system. To this end, this paper proposes a flexible security-constrained program to schedule supply-side and demand-side via an optimal pricing and incentive scheme. The considered demand response (DR) programs include time of use (TOU), real-time pricing (RTP), critical peak pricing (CPP), as well as emergency demand response program (EDRP). The study aims to find the most effective DR scheme among a set of DR programs to improve the efficiency of electricity markets while guaranteeing the security and environmental restrictions through minimization of two objective functions, the ISO's operational cost and pollutant emissions from generation units.

[1]  Hassan Ghasemi,et al.  A stochastic security constrained unit commitment model for reconfigurable networks with high wind power penetration , 2015 .

[2]  Mohammad Shahidehpour,et al.  SCUC With Hourly Demand Response Considering Intertemporal Load Characteristics , 2011, IEEE Transactions on Smart Grid.

[3]  Pierluigi Siano,et al.  Optimal Operation of Emerging Flexible Resources Considering Sub-Hourly Flexible Ramp Product , 2018, IEEE Transactions on Sustainable Energy.

[4]  Hannele Holttinen,et al.  The Flexibility Workout: Managing Variable Resources and Assessing the Need for Power System Modification , 2013, IEEE Power and Energy Magazine.

[5]  Nima Amjady,et al.  Multistage Multiresolution Robust Unit Commitment With Nondeterministic Flexible Ramp Considering Load and Wind Variabilities , 2018, IEEE Transactions on Sustainable Energy.

[6]  D. Flynn,et al.  Unit Commitment With Dynamic Cycling Costs , 2012, IEEE Transactions on Power Systems.

[7]  Babak Mozafari,et al.  Designing time-of-use program based on stochastic security constrained unit commitment considering reliability index , 2012 .

[8]  Joao P. S. Catalao,et al.  A stochastic framework for the grid integration of wind power using flexible load approach , 2014 .

[9]  Javier Contreras,et al.  A Chance-Constrained Unit Commitment With an $n-K$ Security Criterion and Significant Wind Generation , 2013, IEEE Transactions on Power Systems.

[10]  P. Siano,et al.  Assessing the benefits of residential demand response in a real time distribution energy market , 2016 .

[11]  Abdullah Abusorrah,et al.  Thermal Generation Flexibility With Ramping Costs and Hourly Demand Response in Stochastic Security-Constrained Scheduling of Variable Energy Sources , 2015, IEEE Transactions on Power Systems.

[12]  Benjamin F. Hobbs,et al.  Real-Time Markets for Flexiramp: A Stochastic Unit Commitment-Based Analysis , 2016, IEEE Transactions on Power Systems.

[13]  Qianfan Wang,et al.  A chance-constrained two-stage stochastic program for unit commitment with uncertain wind power output , 2012, 2012 IEEE Power and Energy Society General Meeting.

[14]  Masood Parvania,et al.  Demand Response Scheduling by Stochastic SCUC , 2010, IEEE Transactions on Smart Grid.