TY - GEN
T1 - Model-free load control for high penetration of solar photovoltaic generation
AU - Bara, Ouassim
AU - Olama, Mohammad
AU - Djouadi, Seddik
AU - Kuruganti, Teja
AU - Fliess, Michel
AU - Join, Cedric
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/13
Y1 - 2017/11/13
N2 - This paper presents a new model-free control (MFC) mechanism that enables the local distribution level circuit consumption of the photovoltaic (PV) generation by local building loads, in particular, distributed heating, ventilation and air conditioning (HVAC) units. The local consumption of PV generation will help minimize the impact of PV generation on the distribution grid, reduce the required battery storage capacity for PV penetration, and increase solar PV generation penetration levels. The proposed MFC approach with its corresponding intelligent controllers does not require any precise model for buildings, where a reliable modeling is a demanding task. Even when assuming the availability of a good model, the various building architectures would compromise the performance objectives of any model-based control strategy. The objective is to consume most of the PV generation locally while maintaining occupants comfort and physical constraints of HVAC units. That is, by enabling proper scheduling of responsive loads temporally and spatially to minimize the difference between demand and PV production, it would be possible to reduce voltage variations and two-way power flow. Computer simulations show promising results where a significant proportion of the PV generation can be consumed by building HVAC units with the help of intelligent control.
AB - This paper presents a new model-free control (MFC) mechanism that enables the local distribution level circuit consumption of the photovoltaic (PV) generation by local building loads, in particular, distributed heating, ventilation and air conditioning (HVAC) units. The local consumption of PV generation will help minimize the impact of PV generation on the distribution grid, reduce the required battery storage capacity for PV penetration, and increase solar PV generation penetration levels. The proposed MFC approach with its corresponding intelligent controllers does not require any precise model for buildings, where a reliable modeling is a demanding task. Even when assuming the availability of a good model, the various building architectures would compromise the performance objectives of any model-based control strategy. The objective is to consume most of the PV generation locally while maintaining occupants comfort and physical constraints of HVAC units. That is, by enabling proper scheduling of responsive loads temporally and spatially to minimize the difference between demand and PV production, it would be possible to reduce voltage variations and two-way power flow. Computer simulations show promising results where a significant proportion of the PV generation can be consumed by building HVAC units with the help of intelligent control.
KW - HVAC
KW - building load control
KW - distributed energy resources
KW - intelligent proportional controllers
KW - model-free control
KW - solar variability
UR - http://www.scopus.com/inward/record.url?scp=85040577863&partnerID=8YFLogxK
U2 - 10.1109/NAPS.2017.8107328
DO - 10.1109/NAPS.2017.8107328
M3 - Conference contribution
AN - SCOPUS:85040577863
T3 - 2017 North American Power Symposium, NAPS 2017
BT - 2017 North American Power Symposium, NAPS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 North American Power Symposium, NAPS 2017
Y2 - 17 September 2017 through 19 September 2017
ER -