TY - JOUR
T1 - Secondary Model Predictive Control Architecture for VSC-HVDC Networks Interfacing Wind Power
AU - Carmona Sanchez, Jesus
AU - Marjanovic, Ognjen
AU - Barnes, Mike
AU - Green, Peter
N1 - Funding Information:
Manuscript received August 5, 2019; revised November 29, 2019; accepted January 4, 2020. Date of publication January 13, 2020; date of current version September 23, 2020. The work was supported by EPSRC under Grants EP/P009743/1 and EP/L021463/1. (Corresponding author: Jesús Carmona Sánchez.) Paper no.-TPWRD-00851-2019.
Publisher Copyright:
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Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/10/1
Y1 - 2020/10/1
N2 - This paper proposes a secondary Model Predictive Control (MPC) based architecture to provide DC voltage and DC power control to MT VSC-HVDC networks interfacing wind power generation. The proposed architecture places the controller at a supervisory level, thus providing coordination amongst existing converters’ local droop controllers. Droop control is a type of decentralized DC voltage/power control. Hence, in case of secondary controller failure, droop control acts as a contingency control scheme. A simplified linear dynamic model of the MT VSC-HVDC network is utilised for the MPC’s design, thus minimizing computational effort needed to compute secondary control action. Updates of droop gains and offshore and onshore “AC” variables, in the dq domain, are explicitly considered as measured input disturbances within the formulation of the MPC controller, thus, ensuring appropriate control response in order to minimise adverse impact of their variation on the overall system's performance, particularly under wind power variations. Simulation results show that MPC, whose design is based on the system’s simplified linear model, is capable of delivering satisfactory performance when applied to the high fidelity non-linear full order model of a six-terminal VSC-HVDC network simulated in PSCAD.
AB - This paper proposes a secondary Model Predictive Control (MPC) based architecture to provide DC voltage and DC power control to MT VSC-HVDC networks interfacing wind power generation. The proposed architecture places the controller at a supervisory level, thus providing coordination amongst existing converters’ local droop controllers. Droop control is a type of decentralized DC voltage/power control. Hence, in case of secondary controller failure, droop control acts as a contingency control scheme. A simplified linear dynamic model of the MT VSC-HVDC network is utilised for the MPC’s design, thus minimizing computational effort needed to compute secondary control action. Updates of droop gains and offshore and onshore “AC” variables, in the dq domain, are explicitly considered as measured input disturbances within the formulation of the MPC controller, thus, ensuring appropriate control response in order to minimise adverse impact of their variation on the overall system's performance, particularly under wind power variations. Simulation results show that MPC, whose design is based on the system’s simplified linear model, is capable of delivering satisfactory performance when applied to the high fidelity non-linear full order model of a six-terminal VSC-HVDC network simulated in PSCAD.
KW - HVDC
KW - MPC
KW - Multi-terminal Network
KW - Secondary Control
KW - Wind Power
U2 - 10.1109/TPWRD.2020.2966325
DO - 10.1109/TPWRD.2020.2966325
M3 - Article
SN - 0885-8977
VL - 35
SP - 2329
EP - 2341
JO - IEEE Transactions on Power Delivery
JF - IEEE Transactions on Power Delivery
IS - 5
M1 - 8957628
ER -