Coordination of Local and Central Electricity Markets for Providing Balancing Services

A local electricity market (LEM) is defined as a marketplace that ensures power balance locally while respecting the security constraints of the distribution grid. Moreover, the LEM operator acts as a mediator for participation of flexibility resources located in the distribution grid to the central electricity market (CEM) by facilitating the communication to CEM. However, because these resources can be used both locally and system-wide, effective utilization of local resources in the system necessitates coordination between the LEM and CEM operators. In this work, these entities are considered to be the DSO and the TSO, respectively. Several coordination schemes have been considered, categorized as DSO leader, DSO follower and TSO-DSO iteration. In addition, a new coordination scheme is introduced, dubbed DSO leader-price sensitive. We simulate these schemes for a residential Dutch LV network hypothetically connected to the IEEE 14-bus system and compare them in terms of resulting system balancing costs. We show that the newly proposed scheme results in lower costs and higher activation of demand response from end-users.

[1]  Michael C. Caramanis,et al.  Co-Optimization of Power and Reserves in Dynamic T&D Power Markets With Nondispatchable Renewable Generation and Distributed Energy Resources , 2016, Proceedings of the IEEE.

[2]  Jhi-Young Joo,et al.  Multi-Layered Optimization Of Demand Resources Using Lagrange Dual Decomposition , 2014, IEEE Transactions on Smart Grid.

[3]  R. Hakvoort,et al.  Managing electric flexibility from Distributed Energy Resources: A review of incentives for market design , 2016 .

[4]  Hugo Morais,et al.  Active Distribution Grid Management Based on Robust AC Optimal Power Flow , 2018, IEEE Transactions on Smart Grid.

[5]  Daan Six,et al.  Coordination between transmission and distribution system operators in the electricity sector: A conceptual framework , 2017 .

[6]  J. G. Slootweg,et al.  Demand response for real-time congestion management incorporating dynamic thermal overloading cost , 2017 .

[7]  Magnus Korpås,et al.  Strategy-making for a proactive distribution company in the real-time market with demand response , 2016 .

[8]  Mohammad Reza Hesamzadeh,et al.  AC Power Flow Representation in Conic Format , 2015, IEEE Transactions on Power Systems.

[9]  Paul Cuffe,et al.  Embracing an Adaptable, Flexible Posture: Ensuring That Future European Distribution Networks Are Ready for More Active Roles , 2016, IEEE Power and Energy Magazine.

[10]  A. Papavasiliou,et al.  Coordination Schemes for the Integration of Transmission and Distribution System Operations , 2018, 2018 Power Systems Computation Conference (PSCC).

[11]  Mohammad E. Khodayar,et al.  A Hierarchical Electricity Market Structure for the Smart Grid Paradigm , 2016, IEEE Transactions on Smart Grid.

[12]  Pierre Pinson,et al.  A Local Energy Market for Electricity and Hydrogen , 2018, IEEE Transactions on Power Systems.

[13]  Zhao Yuan,et al.  Hierarchical coordination of TSO-DSO economic dispatch considering large-scale integration of distributed energy resources , 2017 .

[14]  Frede Hvelplund Renewable energy and the need for local energy markets , 2006 .

[15]  Bernt A. Bremdal,et al.  Design characteristics of a smart grid dominated local market , 2016 .

[16]  Stamatis Karnouskos,et al.  An energy market for trading electricity in smart grid neighbourhoods , 2012, 2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST).

[17]  Jianhui Wang,et al.  Real-Time Trading Strategies of Proactive DISCO With Heterogeneous DG Owners , 2018, IEEE Transactions on Smart Grid.

[18]  Michael Zipf,et al.  Cooperation of TSO and DSO to provide ancillary services , 2016, 2016 13th International Conference on the European Energy Market (EEM).