Integrating Iterative Bidding in Electricity Markets and Frequency Regulation

We study an electricity market consisting of an independent system operator (ISO) and a group of strategic generators. The ISO seeks to solve the optimal power dispatch problem and to regulate the frequency of the network. However, since generators do not share their cost functions, the ISO cannot solve the dispatch problem and instead engages the generators in an iterative bidding process. This consists of each generator submitting to the ISO a bid at which it is willing to provide power and receiving from the ISO a new power production setpoint calculated given the received bids and the network frequency. We analyze the stability of the interconnected system that results from the coupling between the iterative bidding scheme and the continuous-time swing dynamics of the power network and establish the convergence to the efficient Nash equilibrium and the optimal power dispatch.

[1]  Francesco Bullo,et al.  Breaking the Hierarchy: Distributed Control and Economic Optimality in Microgrids , 2014, IEEE Transactions on Control of Network Systems.

[2]  Florian Dörfler,et al.  Synchronization in complex networks of phase oscillators: A survey , 2014, Autom..

[3]  F. Alvarado,et al.  Stability Analysis of Interconnected Power Systems Coupled with Market Dynamics , 2001, IEEE Power Engineering Review.

[4]  Steven H. Low,et al.  An Online Gradient Algorithm for Optimal Power Flow on Radial Networks , 2016, IEEE Journal on Selected Areas in Communications.

[5]  P. Olver Nonlinear Systems , 2013 .

[6]  Xuan Zhang,et al.  A real-time control framework for smart power networks: Design methodology and stability , 2015, Autom..

[7]  K. R. Padiyar,et al.  Power system dynamics : stability and control , 1996 .

[8]  Rahul Jain,et al.  Game-theoretic analysis of the nodal pricing mechanism for electricity markets , 2013, 52nd IEEE Conference on Decision and Control.

[9]  Sairaj V. Dhople,et al.  Photovoltaic Inverter Controllers Seeking AC Optimal Power Flow Solutions , 2014, IEEE Transactions on Power Systems.

[10]  S. Stoft Power System Economics: Designing Markets for Electricity , 2002 .

[11]  Milos Cvetkovic,et al.  An integrated dynamic market mechanism for real-time markets and frequency regulation , 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).

[12]  Drew Fudenberg,et al.  Game theory (3. pr.) , 1991 .

[13]  T. Başar,et al.  Dynamic Noncooperative Game Theory , 1982 .

[14]  Christoforos N. Hadjicostis,et al.  A Distributed Generation Control Architecture for Islanded AC Microgrids , 2015, IEEE Transactions on Control Systems Technology.

[15]  Ashish Cherukuri,et al.  Iterative Bidding in Electricity Markets: Rationality and Robustness , 2017, IEEE Transactions on Network Science and Engineering.