Hybrid agent-based simulation for policy evaluation of solar power generation systems

Jiayun Zhao, Esfandyar Mazhari, Nurcin Celik, Young-Jun Son

Research output: Contribution to journalArticle

44 Citations (Scopus)

Abstract

To encourage the adoption of solar power as well as new technological improvements in solar industry, state and federal governments have employed various kinds of incentives over the past decades, such as rebates, tax return opportunities, and Net Metering credits. At the same time, however, the governments concern regulations to avoid highly steep growth of solar energy without considering necessary supporting structure such as storage components, which will increase the electricity price and threaten the stability of existing transmission systems. The goal of this research is to develop a decision support tool to analyze the effectiveness of various policies (both incentives as well as regulations) on the proper growth rate of distributed photovoltaic (PV) systems avoiding the instability of the transition system or steep rising of the electricity price. To this end, we propose a hybrid two-level simulation modeling framework, which is significantly more detailed than the simplified structures commonly used in most policy evaluations. The lower-level model concerns the calculation of PV system payback period of individual household based on hourly electricity generation (PV) and consumptions, incentive levels, PV module price, and hourly electricity price (grid). The higher-level model, running on a weekly basis for 20 years, concerns the household adoption behaviors of the PV systems influenced by various factors, including payback period, household income, word-of-mouth effect and advertisement effect. Agent-based and system dynamics modeling techniques are leveraged in both levels. The proposed models have been developed for residential areas at two different regions in the US based on real data, which have been used to illustrate the impact of policies in different regions.

Original languageEnglish (US)
Pages (from-to)2189-2205
Number of pages17
JournalSimulation Modelling Practice and Theory
Volume19
Issue number10
DOIs
StatePublished - Nov 2011

Fingerprint

Solar power generation
Hybrid Simulation
Agent-based Simulation
Electricity
Photovoltaic System
Incentives
Evaluation
Solar energy
Solar Energy
Transition Systems
Simulation Modeling
Tax
Dynamic Modeling
Taxation
Decision Support
System Modeling
System Dynamics
Distributed Systems
Dynamical systems
Model

Keywords

  • Agent-based modeling
  • Incentives
  • Photovoltaic (PV)
  • Regulations
  • Solar energy
  • System dynamics

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software
  • Modeling and Simulation

Cite this

Hybrid agent-based simulation for policy evaluation of solar power generation systems. / Zhao, Jiayun; Mazhari, Esfandyar; Celik, Nurcin; Son, Young-Jun.

In: Simulation Modelling Practice and Theory, Vol. 19, No. 10, 11.2011, p. 2189-2205.

Research output: Contribution to journalArticle

Zhao, Jiayun ; Mazhari, Esfandyar ; Celik, Nurcin ; Son, Young-Jun. / Hybrid agent-based simulation for policy evaluation of solar power generation systems. In: Simulation Modelling Practice and Theory. 2011 ; Vol. 19, No. 10. pp. 2189-2205.
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