Hybrid simulation and optimization-based design and operation of integrated photovoltaic generation, storage units, and grid

Esfandyar Mazhari, Jiayun Zhao, Nurcin Celik, Seungho Lee, Young Jun Son, Larry Head

Research output: Contribution to journalArticle

43 Citations (Scopus)

Abstract

Unlike fossil-fueled generation, solar energy resources are geographically distributed and highly intermittent, which makes their direct control extremely difficult and requires storage units as an additional concern. The goal of this research is to design and develop a flexible tool, which will allow us to obtain (1) an optimal capacity of an integrated photovoltaic (PV) system and storage units and (2) an optimal operational decision policy considering the current and future market prices of the electricity. The proposed tool is based on hybrid (system dynamics model and agent-based model) simulation and meta-heuristic optimization. In particular, this tool has been developed for three different scenarios (involving different geographical scales), where PV-based solar generators, storage units (compressed-air-energy-storage (CAES) and super-capacitors), and grid are used in an integrated manner to supply energy demands. Required data has been gathered from various sources, including NASA and TEP (utility company), US Energy Information Administration, National Renewable Energy Laboratory, commercial PV panel manufacturers, and publicly available reports. The constructed tool has been demonstrated to (1) test impacts of several factors (e.g. demand growth, efficiencies in PV panel and CAES system) on the total cost of the integrated generation and storage system and an optimal mixture of PV generation and storage capacity, and to (2) demonstrate an optimal operational policy.

Original languageEnglish
Pages (from-to)463-481
Number of pages19
JournalSimulation Modelling Practice and Theory
Volume19
Issue number1
DOIs
StatePublished - Jan 1 2011
Externally publishedYes

Fingerprint

Hybrid Simulation
Hybrid Optimization
Grid
Unit
Energy Storage
Storage System
Photovoltaic System
Heuristic Optimization
Solar Energy
Renewable Energy
Storage Capacity
Agent-based Model
Energy resources
Integrated System
Capacitor
NASA
Energy
Hybrid systems
Electricity
Hybrid Systems

Keywords

  • Capacity planning
  • Compressed-air energy storage
  • Control
  • Grid
  • Photovoltaic
  • Renewable

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software
  • Modeling and Simulation

Cite this

Hybrid simulation and optimization-based design and operation of integrated photovoltaic generation, storage units, and grid. / Mazhari, Esfandyar; Zhao, Jiayun; Celik, Nurcin; Lee, Seungho; Son, Young Jun; Head, Larry.

In: Simulation Modelling Practice and Theory, Vol. 19, No. 1, 01.01.2011, p. 463-481.

Research output: Contribution to journalArticle

Mazhari, Esfandyar ; Zhao, Jiayun ; Celik, Nurcin ; Lee, Seungho ; Son, Young Jun ; Head, Larry. / Hybrid simulation and optimization-based design and operation of integrated photovoltaic generation, storage units, and grid. In: Simulation Modelling Practice and Theory. 2011 ; Vol. 19, No. 1. pp. 463-481.
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