MICROGRID MANAGEMENT ARCHITECTURE CONSIDERING OPTIMAL BATTERY DISPATCH

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PAUL, T. I. M. G. E. O. R. G. E. (2015). MICROGRID MANAGEMENT ARCHITECTURE CONSIDERING OPTIMAL BATTERY DISPATCH. Unc Charlotte Electronic Theses And Dissertations.
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Abstract

Energy management and economic operation of microgrids with energy storage systems at the distribution level have attracted significant research interest in recent years. One of the challenges in this area has been the coordination of energy management functions with decentralized and centralized dispatch. In this thesis a distributed dispatch algorithm for a microgrid consisting of a photovoltaic source with energy storage which can work with a centralized dispatch algorithm that ensure stability of the microgrid is proposed. To this end, first a rule based dispatch algorithm is formulated which is based on maximum resource utilization and can work in both off grid and grid connected mode. Then a fixed horizon optimization algorithm which minimizes the cost of power taken from the grid is developed. In order to schedule the battery based on changes in the PV farm a predictive horizon methodology based optimization is designed. Further, the rule based and optimization based dispatch methodologies is linked to optimize the voltage deviations at the microgrid Point of Common Coupling (PCC). The main advantage of the proposed method is that, an optimal active power dispatch considering the nominal voltage bandwidth can be initiated for the microgrid in both grid connected or off grid mode of operation. Also, the method allows the grid operator to consider cost based optimal renewable generation scheduling and/or the maximum power extraction based modes of operation simultaneously or separately based on grid operating conditions and topologies. Further, the methods allows maintaining PCC voltage within the limits during these modes of operation and at the same time ensure that the battery dispatch is optimal.

Details
Author

PAUL, TIM GEORGE

Title

MICROGRID MANAGEMENT ARCHITECTURE CONSIDERING OPTIMAL BATTERY DISPATCH

Physical Description

1 online resource (106 pages) : PDF

Date

2015

Degree Granting Institution

University of North Carolina at Charlotte

Abstract

Energy management and economic operation of microgrids with energy storage systems at the distribution level have attracted significant research interest in recent years. One of the challenges in this area has been the coordination of energy management functions with decentralized and centralized dispatch. In this thesis a distributed dispatch algorithm for a microgrid consisting of a photovoltaic source with energy storage which can work with a centralized dispatch algorithm that ensure stability of the microgrid is proposed. To this end, first a rule based dispatch algorithm is formulated which is based on maximum resource utilization and can work in both off grid and grid connected mode. Then a fixed horizon optimization algorithm which minimizes the cost of power taken from the grid is developed. In order to schedule the battery based on changes in the PV farm a predictive horizon methodology based optimization is designed. Further, the rule based and optimization based dispatch methodologies is linked to optimize the voltage deviations at the microgrid Point of Common Coupling (PCC). The main advantage of the proposed method is that, an optimal active power dispatch considering the nominal voltage bandwidth can be initiated for the microgrid in both grid connected or off grid mode of operation. Also, the method allows the grid operator to consider cost based optimal renewable generation scheduling and/or the maximum power extraction based modes of operation simultaneously or separately based on grid operating conditions and topologies. Further, the methods allows maintaining PCC voltage within the limits during these modes of operation and at the same time ensure that the battery dispatch is optimal.

Genre

masters theses

Subjects--Topics

Electrical engineering

Degree

M.S.

Subject Area

Electrical Engineering

Advisor(s)

KAMALASADAN, SUKUMAR

Committee Members

KAKAD, YOGENDRA
CECCHI, VALENTINA

Degree Note

Thesis (M.S.)--University of North Carolina at Charlotte, 2015.

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Rights Holder Information

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Identifier

PAUL_uncc_0694N_10997

Permalink

http://hdl.handle.net/20.500.13093/etd:1484