Prequalification Scheme of a Distribution System Operator for Supporting Wholesale Market Participation of a Distributed Energy Resource Aggregator

Increasing penetration of distributed renewable energy sources (DRESs) has resulted in the emergence of distributed energy resource aggregators (DERAs). A DERA participates in the transmission-level market operated by a transmission system operator (TSO), and the DERA’s resources are connected to a jurisdiction of the distribution system operator (DSO). Inspired by the structure of the Korean power industry, this study assumes a minimal DSO that cannot directly dispatch the resources in its system. In this study, we develop a detailed procedure for prequalification wherein the DSO checks the DERA’s bids that are submitted to the TSO markets. The proposed prequalification enables the DSO to secure the reliability of its system by providing limited network information to the DERA. The DERA modifies its bid until potential overvoltage and overflow problems are resolved, even in the worst case, including uncertainties. The proposed prequalification process is verified using the IEEE 33-bus distribution network. Compared to previous studies, the results demonstrate that the proposed prequalification can deal with distribution system constraints, even though uncertainties are included. The proposed prequalification process can be applied to power industries where the DSO does not have the full dispatch authority on DRESs.

[1]  C. Rehtanz,et al.  Determination of the Time-Dependent Flexibility of Active Distribution Networks to Control Their TSO-DSO Interconnection Power Flow , 2018, 2018 Power Systems Computation Conference (PSCC).

[2]  Yang Li,et al.  Energy Management Strategy for a Society of Prosumers Under the IOT Environment Considering the Network Constraints , 2019, IEEE Access.

[3]  Pierluigi Mancarella,et al.  On Feasibility and Flexibility Operating Regions of Virtual Power Plants and TSO/DSO Interfaces , 2019, 2019 IEEE Milan PowerTech.

[4]  H. Saboori,et al.  Virtual Power Plant (VPP), Definition, Concept, Components and Types , 2011, 2011 Asia-Pacific Power and Energy Engineering Conference.

[5]  J. O. Petinrin,et al.  Impact of renewable generation on voltage control in distribution systems , 2016 .

[6]  Jeremy D. Watson,et al.  Impact of solar photovoltaics on the low-voltage distribution network in New Zealand , 2016 .

[7]  Joao P. S. Catalao,et al.  Bi-level optimization model for the coordination between transmission and distribution systems interacting with local energy markets , 2021, International Journal of Electrical Power & Energy Systems.

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

[9]  Paul Smith,et al.  Capability Chart for Distributed Reactive Power Resources , 2013, IEEE Transactions on Power Systems.

[10]  Wenchuan Wu,et al.  Bi-Level Programming for Optimal Operation of an Active Distribution Network With Multiple Virtual Power Plants , 2020, IEEE Transactions on Sustainable Energy.

[11]  Kai Strunz,et al.  Congestion management through coordination of distribution system operator and a virtual power plant , 2017, 2017 IEEE Manchester PowerTech.

[12]  Kai Strunz,et al.  Wind and Solar Power Integration in Electricity Markets and Distribution Networks Through Service-Centric Virtual Power Plants , 2018, IEEE Transactions on Power Systems.

[13]  Amin Khodaei,et al.  Application of microgrids in providing ancillary services to the utility grid , 2017 .

[14]  Zhinong Wei,et al.  A robust optimization approach for integrated community energy system in energy and ancillary service markets , 2018 .

[15]  Damien Ernst,et al.  A process to address electricity distribution sector challenges: the GREDOR project approach , 2015 .

[16]  Nikos D. Hatziargyriou,et al.  Voltage Regulation Support Along a Distribution Line by a Virtual Power Plant Based on a Center of Mass Load Modeling , 2018, IEEE Transactions on Smart Grid.

[17]  Sung-Won Park,et al.  Interaction-based virtual power plant operation methodology for distribution system operator’s voltage management , 2020 .

[18]  Gerard Boyd,et al.  SPEN – DSO Vision , 2017 .

[19]  David Pozo,et al.  Analysis of Feasibility Region of Active Distribution Networks , 2019, 2019 International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE).

[20]  Danny Pudjianto,et al.  Virtual power plant: managing synergies and conflicts between transmission system operator and distribution system operator control objectives , 2017 .

[21]  Yong Hyun Song,et al.  How to find a reasonable energy transition strategy in Korea?: Quantitative analysis based on power market simulation , 2018, Energy Policy.

[22]  Dirk Kuiken,et al.  Basic schemes for TSO-DSO coordination and ancillary services provision , 2016 .

[23]  Vladimiro Miranda,et al.  Estimating the Active and Reactive Power Flexibility Area at the TSO-DSO Interface , 2018, IEEE Transactions on Power Systems.

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

[25]  Wenchuan Wu,et al.  Distributed Economic Dispatch for Active Distribution Networks with Virtual Power Plants , 2019, 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia).

[26]  José Pablo Chaves-Ávila,et al.  A review of the value of aggregators in electricity systems , 2017 .

[27]  Ram Rajagopal,et al.  Optimal bidding strategy for microgrids in joint energy and ancillary service markets considering flexible ramping products , 2017 .

[28]  Xiao-Ping Zhang,et al.  Contributing to DSO’s Energy-Reserve Pool: A Chance-Constrained Two-Stage $\mu $ VPP Bidding Strategy , 2017, IEEE Power and Energy Technology Systems Journal.

[29]  Pouria Sheikhahmadi,et al.  The participation of a renewable energy-based aggregator in real-time market: A Bi-level approach , 2020 .

[30]  Seung Wan Kim,et al.  History of electric power sector restructuring in South Korea and Turkey , 2019 .

[31]  Lorenzo Kristov,et al.  A Tale of Two Visions: Designing a Decentralized Transactive Electric System , 2016, IEEE Power and Energy Magazine.

[32]  Chen Chen,et al.  Guidelines for Implementing Advanced Distribution Management Systems-Requirements for DMS Integration with DERMS and Microgrids , 2015 .

[33]  D. Kathan,et al.  Participation of Distributed Energy Resource Aggregations in Markets Operated by Regional Transmission Organizations and Independent System Operators , 2018 .

[34]  Behnam Mohammadi-Ivatloo,et al.  Robust bidding strategy for demand response aggregators in electricity market based on game theory , 2020 .

[35]  Xuanyuan Wang,et al.  Optimal Bidding Strategy of DER Aggregator Considering Dual Uncertainty via Information Gap Decision Theory , 2021, IEEE Transactions on Industry Applications.

[36]  Felix F. Wu,et al.  Network Reconfiguration in Distribution Systems for Loss Reduction and Load Balancing , 1989, IEEE Power Engineering Review.

[37]  Yong Tae Yoon,et al.  Optimal Bidding Strategy for Renewable Microgrid with Active Network Management , 2016 .

[38]  J. Slootweg,et al.  A Survey on the Participation of Distributed Energy Resources in Balancing Markets , 2018, 2018 15th International Conference on the European Energy Market (EEM).