Simulating a commercial power aggregator at scale: design and lessons learned

Research output: Contribution to conferenceProceeding

Abstract

To evaluate aggregation models in the context of a power system, a software tool (the SmartNet simulator) has been developed to look at the impact of managing Distributed Energy Resources (DERs) on networks' technical operation (e.g. power flows and voltage levels) and simulates wholesale and ancillary services market conditions. This paper focusses on the design and implementation of one of the aggregation models that addresses the Curtailable Generator / Curtailable Load (CGCL) aggregator. The paper outlines the design of such a software aggregator agent and discusses the lessons learned in simulating a more realistic large power grid system. The aggregator is represented as an agent based object orientated model using a financed based buckets system to aggregate bids from up to 300,000 devices across 10 -20,000 power nodes. The concept/implementation can be extended to include more sophisticated bidding strategies and to use multiple perspectives on tranches. Simulation and testing of such a large simulation system was challenging, and we have proved that it is possible to simulate the aggregation and clustering of different types of flexibility into a number of manageable bids in a timely manner.

Conference

ConferenceSimultech 2019 9th International conference on simulation and Modelling
Abbreviated titleSimultech 2019
CountryCzech Republic
CityPrague
Period29/07/1931/07/19
Internet address

Fingerprint

Agglomeration
Software agents
Energy resources
Simulators
Testing
Electric potential

Keywords

  • agent based modelling
  • aggregation
  • power
  • simulation
  • smart grid

Cite this

Howorth, G., & Kockar, I. (2019). Simulating a commercial power aggregator at scale: design and lessons learned. Simultech 2019 9th International conference on simulation and Modelling, Prague, Czech Republic.
Howorth, Gary ; Kockar, Ivana. / Simulating a commercial power aggregator at scale : design and lessons learned. Simultech 2019 9th International conference on simulation and Modelling, Prague, Czech Republic.8 p.
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Howorth, G & Kockar, I 2019, 'Simulating a commercial power aggregator at scale: design and lessons learned' Simultech 2019 9th International conference on simulation and Modelling, Prague, Czech Republic, 29/07/19 - 31/07/19, .

Simulating a commercial power aggregator at scale : design and lessons learned. / Howorth, Gary; Kockar, Ivana.

2019. Simultech 2019 9th International conference on simulation and Modelling, Prague, Czech Republic.

Research output: Contribution to conferenceProceeding

TY - CONF

T1 - Simulating a commercial power aggregator at scale

T2 - design and lessons learned

AU - Howorth, Gary

AU - Kockar, Ivana

PY - 2019/7/31

Y1 - 2019/7/31

N2 - To evaluate aggregation models in the context of a power system, a software tool (the SmartNet simulator) has been developed to look at the impact of managing Distributed Energy Resources (DERs) on networks' technical operation (e.g. power flows and voltage levels) and simulates wholesale and ancillary services market conditions. This paper focusses on the design and implementation of one of the aggregation models that addresses the Curtailable Generator / Curtailable Load (CGCL) aggregator. The paper outlines the design of such a software aggregator agent and discusses the lessons learned in simulating a more realistic large power grid system. The aggregator is represented as an agent based object orientated model using a financed based buckets system to aggregate bids from up to 300,000 devices across 10 -20,000 power nodes. The concept/implementation can be extended to include more sophisticated bidding strategies and to use multiple perspectives on tranches. Simulation and testing of such a large simulation system was challenging, and we have proved that it is possible to simulate the aggregation and clustering of different types of flexibility into a number of manageable bids in a timely manner.

AB - To evaluate aggregation models in the context of a power system, a software tool (the SmartNet simulator) has been developed to look at the impact of managing Distributed Energy Resources (DERs) on networks' technical operation (e.g. power flows and voltage levels) and simulates wholesale and ancillary services market conditions. This paper focusses on the design and implementation of one of the aggregation models that addresses the Curtailable Generator / Curtailable Load (CGCL) aggregator. The paper outlines the design of such a software aggregator agent and discusses the lessons learned in simulating a more realistic large power grid system. The aggregator is represented as an agent based object orientated model using a financed based buckets system to aggregate bids from up to 300,000 devices across 10 -20,000 power nodes. The concept/implementation can be extended to include more sophisticated bidding strategies and to use multiple perspectives on tranches. Simulation and testing of such a large simulation system was challenging, and we have proved that it is possible to simulate the aggregation and clustering of different types of flexibility into a number of manageable bids in a timely manner.

KW - agent based modelling

KW - aggregation

KW - power

KW - simulation

KW - smart grid

UR - http://www.simultech.org/

M3 - Proceeding

ER -

Howorth G, Kockar I. Simulating a commercial power aggregator at scale: design and lessons learned. 2019. Simultech 2019 9th International conference on simulation and Modelling, Prague, Czech Republic.