AMES v3.0

AMES (v3.0) extends AMES (v2.06) in the following:
  • AMES (v3.0) models a fully operational two-settlement system consisting of an ISO-managed day-ahead market (DAM) settled at DAM LMPs and an ISO-managed real-time market (RTM) settled at RTM LMPs.
  • AMES (v3.0) includes the capability of real-time loads to be fed into AMES by any third-party application that can write into MySQL database and perform a handshake with AMES.
  • AMES (v3.0) provides the LSE a forecasting mechanism while submitting day-ahead demand bids based on the observed real-time load values in the previous days.
  • AMES (v3.0) is usually run in tandem with a load-generating software and a MySQL database, collectively called as the IRW Test Bed which is an open-source released software test bed as shown below,
AMES (v3.0) is followed by AMES (v4.0) that can be accessed here.
Open-source Code Release: IRW Test Bed​ (zip, 7.2MB)
  1. ​AMES v3.0  
  2. Intelligent AC Controller
  3. GridLAB-D (http://www.gridlabd.org/)
IRW Test Bed ReadME (pdf, 1.9MB):
  • The IRW Demo is a simulation that studies the effects of price-responsive residential demand for air-conditioning (A/C) on integrated retail and wholesale power market operations. The physical operations of the A/C system are represented by means of a physics-based
    equivalent thermal parameter model. Residential A/C energy usage levels are determined by means of a stochastic dynamic-programming optimization in which the daily comfort attained by the resident is optimally traded off against his daily energy costs, conditional on retail energy prices, environmental conditions, and A/C operational constraints. Energy usage arising from conventional non-price responsive loads is simulated using GridLAB-D. The IRW demo illustrates the dynamic feedback loop connecting price-responsive load, the energy prices determined at wholesale conditional on this load, and the retail energy prices offered to residential consumers
    by wholesale energy buyers based on these wholesale energy prices.
  • AMES v3.0 can be used as part of the IRW test bed whereas the GridLAB-D and Matlab portion of the IRW test bed can be replaced by any software that is capable of generating price-sensitive load into the real-time market.
  • For more details on the IRW test bed, please refer to the following working paper.
    • ​Auswin G. Thomas and Leigh Tesfatsion, "Braided Cobwebs: Cautionary Tales for Dynamic Retail Pricing in End-to-End Power Systems," (pdf, 1MB) Economics Working Paper No. 17028, Department of Economics, Iowa State University, Ames, IA, 2017.