Agent-Based Electricity Market Simulation With Demand Response From Commercial Buildings

Authored by Jianhui Wang, Zhi Zhou

Date Published: 2011-12

DOI: 10.1109/tsg.2011.2168244

Sponsors: United States Department of Energy (DOE)

Platforms: GridLAB-D

Model Documentation: Other Narrative Flow charts Mathematical description

Model Code URLs: Model code not found

Abstract

With the development of power system deregulation and smart metering technologies, price-based demand response (DR) becomes an alternative solution to improving power system reliability and efficiency by adjusting the load profile. In this paper, we simulate an electricity market with DR from different types of commercial buildings by using agent-based modeling and simulation (ABMS) techniques. We focus on the consumption behavior of commercial buildings with different levels of DR penetration in different market structures. The results indicate that there is a noticeable impact from commercial buildings with price-responsive demand on the electricity market, and this impact differs with different scales of DR participation under different levels of market competitions.

Tags

Agent-Based Modeling and Simulation electricity market Demand response Smart grid building stock modeling