Optimal control of a grid-connected hybrid electrical energy storage system for homes

Yanzhi Wang, Xue Lin, Massoud Pedram, Sangyoung Park, Naehyuck Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Scopus citations

Abstract

Integrating residential photovoltaic (PV) power generation and electrical energy storage (EES) systems into the Smart Grid is an effective way of utilizing renewable power and reducing the consumption of fossil fuels. This has become a particularly interesting problem with the introduction of dynamic electricity energy pricing models since electricity consumers can use their PV-based energy generation and EES systems for peak shaving on their power demand profile from the grid, and thereby, minimize their electricity bill. Due to the characteristics of a realistic electricity price function and the energy storage capacity limitation, the control algorithm for a residential EES system should accurately account for various energy loss components during operation. Hybrid electrical energy storage (HEES) systems are proposed to exploit the strengths of each type of EES element and hide its weaknesses so as to achieve a combination of performance metrics that is superior to those of any of its individual EES components. This paper introduces the problem of how best to utilize a HEES system for a residential Smart Grid user equipped with PV power generation facilities. The optimal control algorithm for the HEES system is developed, which aims at minimization of the total electricity cost over a billing period under a general electricity energy price function. The proposed algorithm is based on dynamic programming and has polynomial time complexity. Experimental results demonstrate that the proposed HEES system and optimal control algorithm achieves 73.9% average profit enhancement over baseline homogeneous EES systems.

Original languageEnglish (US)
Title of host publicationProceedings - Design, Automation and Test in Europe, DATE 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages881-886
Number of pages6
ISBN (Print)9783981537000
DOIs
StatePublished - 2013
Event16th Design, Automation and Test in Europe Conference and Exhibition, DATE 2013 - Grenoble, France
Duration: Mar 18 2013Mar 22 2013

Publication series

NameProceedings -Design, Automation and Test in Europe, DATE
ISSN (Print)1530-1591

Other

Other16th Design, Automation and Test in Europe Conference and Exhibition, DATE 2013
CountryFrance
CityGrenoble
Period3/18/133/22/13

Keywords

  • Hybrid electrical energy storage system
  • Optimal control
  • Smart grid

ASJC Scopus subject areas

  • Engineering(all)

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