Abstract
There is a transition from centralized electricity generation to distributed energy resources (DER). An increasing number of customers are adopting distributed solar generation (DSG). However, utilities face the difficulty of predicting electrical demand and therefore dispatching and controlling generation. The goal of this research is to study the evolving dynamic market behavior affected by DER investment decisions. To that end, agent-based modeling (ABM) is used to study the emerging behavior of the market under those conditions. The model is developed from the existing and validated AMES framework, which is used for agent-based computational economics (ACE) simulation of wholesale power markets. The steps of the research are to: 1) develop a hypothetical service area for use as a case study; and 2) implement a customer agent-type with decision-making capabilities. The hypothetical case study is developed using actual data from Tennessee, New England, and other data sources. It is simulated using ABM, as a proof-of-concept. In addition to the hypothetical case study, two counterfactual scenarios are also simulated. The results show that the decreasing demand for power has a large effect on the adopting of DER. In most areas, the number of customers decrease by almost 50% over the duration of 25 years. Demand from generators decrease, and high-cost generators, like coal-powered generators, are the most affected. The results are illustrative and are expected to change if applied to other service areas. The model requires further work to completely simulate the behavior and decision-making rules of the customers. This research is beneficial to utility companies in responding to the increasing adoption of DER.
Recommended Citation
I. H. El-Adaway et al., "Simulating DER Adoption in Wholesale Power Markets using Agent based Computational Economics," Construction Research Congress 2020: Infrastructure Systems and Sustainability - Selected Papers from the Construction Research Congress 2020, pp. 120 - 128, American Society of Civil Engineers, Jan 2020.
The definitive version is available at https://doi.org/10.1061/9780784482858.014
Department(s)
Civil, Architectural and Environmental Engineering
International Standard Book Number (ISBN)
978-078448285-8
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 American Society of Civil Engineers, All rights reserved.
Publication Date
01 Jan 2020
