Integration of PV generation and storage on power distribution systems using MPC

Vahraz Zamani; Andres Cortes; Jan Kleissl; Sonia Martinez

doi:10.1109/PESGM.2015.7286588

Integration of PV generation and storage on power distribution systems using MPC

Vahraz Zamani
, Andres Cortes
, Jan Kleissl
, Sonia Martinez

University of California at San Diego

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

16 Citations (Scopus)

Abstract

This paper presents the implementation of a Model Predictive Control (MPC) strategy for integration of solar PV generation with batteries on an active power distribution system, i.e. micro-grid. Here, the discrete-time finite-horizon optimal control problem associated to the MPC is presented as a non- convex optimization problem. Then, this control problem is solved by utilization of a convexification approach in an efficient approach. To test the performance of the proposed algorithm, a testbed is designed by endowing the IEEE37 test feeder with PV generation and storage capacities. Performance evaluation is carried out for different optimization horizons, different PV penetration, and solar forecasting error.

Original language	English
Title of host publication	2015 IEEE Power and Energy Society General Meeting, PESGM 2015
Publisher	IEEE Computer Society
ISBN (Electronic)	9781467380409
DOIs	https://doi.org/10.1109/PESGM.2015.7286588
Publication status	Published - 30 Sept 2015
Externally published	Yes
Event	IEEE Power and Energy Society General Meeting, PESGM 2015 - Denver, United States Duration: 26 Jul 2015 → 30 Jul 2015

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2015-September
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	IEEE Power and Energy Society General Meeting, PESGM 2015
Country/Territory	United States
City	Denver
Period	26/07/15 → 30/07/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Active power distribution systems
battery
microgrid
model predictive control
solar PV generation

Access to Document

10.1109/PESGM.2015.7286588

Cite this

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title = "Integration of PV generation and storage on power distribution systems using MPC",

abstract = "This paper presents the implementation of a Model Predictive Control (MPC) strategy for integration of solar PV generation with batteries on an active power distribution system, i.e. micro-grid. Here, the discrete-time finite-horizon optimal control problem associated to the MPC is presented as a non- convex optimization problem. Then, this control problem is solved by utilization of a convexification approach in an efficient approach. To test the performance of the proposed algorithm, a testbed is designed by endowing the IEEE37 test feeder with PV generation and storage capacities. Performance evaluation is carried out for different optimization horizons, different PV penetration, and solar forecasting error.",

keywords = "Active power distribution systems, battery, microgrid, model predictive control, solar PV generation",

author = "Vahraz Zamani and Andres Cortes and Jan Kleissl and Sonia Martinez",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Power and Energy Society General Meeting, PESGM 2015 ; Conference date: 26-07-2015 Through 30-07-2015",

year = "2015",

month = sep,

day = "30",

doi = "10.1109/PESGM.2015.7286588",

language = "English",

series = "IEEE Power and Energy Society General Meeting",

publisher = "IEEE Computer Society",

booktitle = "2015 IEEE Power and Energy Society General Meeting, PESGM 2015",

address = "United States",

}

Zamani, V, Cortes, A, Kleissl, J & Martinez, S 2015, Integration of PV generation and storage on power distribution systems using MPC. in 2015 IEEE Power and Energy Society General Meeting, PESGM 2015., 7286588, IEEE Power and Energy Society General Meeting, vol. 2015-September, IEEE Computer Society, IEEE Power and Energy Society General Meeting, PESGM 2015, Denver, United States, 26/07/15. https://doi.org/10.1109/PESGM.2015.7286588

Integration of PV generation and storage on power distribution systems using MPC. / Zamani, Vahraz; Cortes, Andres; Kleissl, Jan et al.
2015 IEEE Power and Energy Society General Meeting, PESGM 2015. IEEE Computer Society, 2015. 7286588 (IEEE Power and Energy Society General Meeting; Vol. 2015-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Integration of PV generation and storage on power distribution systems using MPC

AU - Zamani, Vahraz

AU - Cortes, Andres

AU - Kleissl, Jan

AU - Martinez, Sonia

PY - 2015/9/30

Y1 - 2015/9/30

N2 - This paper presents the implementation of a Model Predictive Control (MPC) strategy for integration of solar PV generation with batteries on an active power distribution system, i.e. micro-grid. Here, the discrete-time finite-horizon optimal control problem associated to the MPC is presented as a non- convex optimization problem. Then, this control problem is solved by utilization of a convexification approach in an efficient approach. To test the performance of the proposed algorithm, a testbed is designed by endowing the IEEE37 test feeder with PV generation and storage capacities. Performance evaluation is carried out for different optimization horizons, different PV penetration, and solar forecasting error.

AB - This paper presents the implementation of a Model Predictive Control (MPC) strategy for integration of solar PV generation with batteries on an active power distribution system, i.e. micro-grid. Here, the discrete-time finite-horizon optimal control problem associated to the MPC is presented as a non- convex optimization problem. Then, this control problem is solved by utilization of a convexification approach in an efficient approach. To test the performance of the proposed algorithm, a testbed is designed by endowing the IEEE37 test feeder with PV generation and storage capacities. Performance evaluation is carried out for different optimization horizons, different PV penetration, and solar forecasting error.

KW - Active power distribution systems

KW - battery

KW - microgrid

KW - model predictive control

KW - solar PV generation

UR - https://www.scopus.com/pages/publications/84956864845

U2 - 10.1109/PESGM.2015.7286588

DO - 10.1109/PESGM.2015.7286588

M3 - Conference contribution

AN - SCOPUS:84956864845

T3 - IEEE Power and Energy Society General Meeting

BT - 2015 IEEE Power and Energy Society General Meeting, PESGM 2015

PB - IEEE Computer Society

T2 - IEEE Power and Energy Society General Meeting, PESGM 2015

Y2 - 26 July 2015 through 30 July 2015

ER -

Integration of PV generation and storage on power distribution systems using MPC

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this