Enabling DER Participation in Frequency Regulation Markets

Distributed energy resources (DERs) are playing an increasing role in ancillary services for the bulk grid, particularly in frequency regulation. In this paper, we propose a framework for collections of DERs, combined to form microgrids and controlled by aggregators, to participate in frequency regulation markets. Our approach covers both the identification of bids for the market clearing stage and the mechanisms for the real-time allocation of the regulation signal. The proposed framework is hierarchical, consisting of a top layer and a bottom layer. The top layer consists of the aggregators communicating in a distributed fashion to optimally disaggregate the regulation signal requested by the system operator. The bottom layer consists of the DERs inside each microgrid whose power levels are adjusted so that the tie line power matches the output of the corresponding aggregator in the top layer. The coordination at the top layer requires the knowledge of cost functions, ramp rates and capacity bounds of the aggregators. We develop meaningful abstractions for these quantities respecting the power flow constraints and taking into account the load uncertainties, and propose a provably correct distributed algorithm for optimal disaggregation of regulation signal amongst the microgrids.

[1]  Kameshwar Poolla,et al.  Coordinating Heterogeneous Distributed Energy Resources for Provision of Frequency Regulation Services , 2017, HICSS.

[2]  B. Washom,et al.  Ivory Tower of Power: Microgrid Implementation at the University of California, San Diego , 2013, IEEE Power and Energy Magazine.

[3]  Ashish Cherukuri,et al.  Distributed algorithms for convex network optimization under non-sparse equality constraints , 2016, 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[4]  Kameshwar Poolla,et al.  Identification of Virtual Battery Models for Flexible Loads , 2016, IEEE Transactions on Power Systems.

[5]  H. Hale,et al.  The Inverse of a Nonsingular Submatrix of an Incidence Matrix , 1962 .

[6]  Duncan S. Callaway,et al.  State Estimation and Control of Electric Loads to Manage Real-Time Energy Imbalance , 2013, IEEE Transactions on Power Systems.

[7]  Matthew J. Reno,et al.  Multiphase Distribution Feeder Reduction , 2018, IEEE Transactions on Power Systems.

[8]  Sairaj V. Dhople,et al.  Optimal Regulation of Virtual Power Plants , 2018, IEEE Transactions on Power Systems.

[9]  Hanchen Xu,et al.  Coordination of Distributed Energy Resources in Lossy Networks for Providing Frequency Regulation , 2017 .

[10]  Sonia Martínez,et al.  Grid-connected microgrid participation in frequency-regulation markets via hierarchical coordination , 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

[11]  Jorge Cortes,et al.  Dynamic average consensus under limited control authority and privacy requirements , 2014, 1401.6463.

[12]  Alejandro D. Dominguez-Garcia,et al.  Convex Relaxations of the Network Flow Problem Under Cycle Constraints , 2020, IEEE Transactions on Control of Network Systems.

[13]  Ivan Celanovic,et al.  A Hierarchy of Models for Microgrids With Grid-Feeding Inverters , 2017 .

[14]  Michael Kintner-Meyer Regulatory Policy and Markets for Energy Storage in North America , 2014, Proceedings of the IEEE.

[15]  ASHISH CHERUKURI,et al.  Saddle-Point Dynamics: Conditions for Asymptotic Stability of Saddle Points , 2015, SIAM J. Control. Optim..

[16]  Dimitri P. Bertsekas,et al.  Necessary and sufficient conditions for a penalty method to be exact , 1975, Math. Program..

[17]  Jakob Stoustrup,et al.  Integration of heterogeneous industrial consumers to provide regulating power to the smart grid , 2013, 52nd IEEE Conference on Decision and Control.

[18]  Marc Petit,et al.  Provision of frequency-regulation reserves by distributed energy resources: Best practices and barriers to entry , 2016, 2016 13th International Conference on the European Energy Market (EEM).

[19]  Masoud Abbaszadeh,et al.  Scalable Optimal Flexibility Control of Distributed Loads in the Power Grid , 2018, 2018 Annual American Control Conference (ACC).

[20]  Johanna L. Mathieu,et al.  State Estimation and Control of Electric Loads to Manage Real-Time Energy Imbalance , 2013 .

[21]  Lei Yan,et al.  Interactive Dispatch Modes and Bidding Strategy of Multiple Virtual Power Plants Based on Demand Response and Game Theory , 2016, IEEE Transactions on Smart Grid.

[22]  Tyrone L. Vincent,et al.  Improved battery models of an aggregation of Thermostatically Controlled Loads for frequency regulation , 2014, 2014 American Control Conference.

[23]  Geert Deconinck,et al.  Applying machine learning techniques for forecasting flexibility of virtual power plants , 2016, 2016 IEEE Electrical Power and Energy Conference (EPEC).

[24]  Jorge Cortés,et al.  Participation of Microgrids in Frequency Regulation Markets , 2018, 2018 Annual American Control Conference (ACC).

[25]  Ashish Cherukuri,et al.  Distributed Generator Coordination for Initialization and Anytime Optimization in Economic Dispatch , 2015, IEEE Transactions on Control of Network Systems.

[26]  Palle Andersen,et al.  Smart grid dispatch strategy for ON/OFF demand-side devices , 2013, 2013 European Control Conference (ECC).

[27]  J. Cortés Discontinuous dynamical systems , 2008, IEEE Control Systems.

[28]  Sundaram Seshu,et al.  Linear Graphs and Electrical Networks , 1961 .

[29]  Marc Petit,et al.  Missing Money for EVs: Economics Impacts of TSO Market Designs , 2014 .

[30]  M. Balaji,et al.  CONTROL OF POWER INVERTERS IN RENEWABLE ENERGY AND SMART GRID INTEGRATION , 2013 .

[31]  Tor Anderson,et al.  Frequency Regulation with Heterogeneous Energy Resources: A Realization using Distributed Control , 2020, ArXiv.