Real-world market representation with agents

• Published in: IEEE power & energy magazine Vol. 2; no. 4; pp. 39 - 46
• Main Author: Koritarov, V.S.
• Format: Magazine Article
• Language: English
• Published: New York IEEE 01.07.2004; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive systems; Aggregates; Behavior; Computer simulation; Economic forecasting; Economics; Electric power generation; Electric utilities; Electricity; Electricity supply industry; Environmental economics; Markets; Mathematical models; Monitors; Power generation economics; Power markets; Power system economics; Power system modeling; Predictive models; Regulators; Studies
• ISSN: 1540-7977; 1558-4216
• DOI: 10.1109/MPAE.2004.1310872

As power markets are relatively new and still continue to evolve, there is a growing need for advanced modeling approaches that simulate the behavior of electricity markets over time and how market participants may act and react to the changing economic, financial and regulatory environments in which they operate. A new and rather promising approach is to model the electricity market as a complex adaptive system using an agent-based modeling and simulation (ABMS) approach. The purpose of an ABMS model is not necessarily to predict the outcome of a system but to reveal and understand the complex and aggregate system behaviors that emerge from the interactions of the heterogeneous individual entities. Emergent behavior is a key feature of ABMS and is not easily inferred from the simple sum of the behavior of its components. By relying on both established engineering modeling techniques as well as advanced quantitative economic market principles, the ABMS approach is uniquely suited to addressing the strategic issues of interest to different market participants as well as those of market monitors and regulators.