TY - JOUR
T1 - Distributed MPC-based frequency control for multi-area power systems with energy storage
AU - Yang, Luwei
AU - Liu, Tao
AU - Hill, David J.
N1 - Funding Information:
Submitted to the 21st Power Systems Computation Conference (PSCC 2020). This work was supported by the Research Grants Council of the Hong Kong Special Administrative Region under the Theme-Based Research Scheme through Project No. T23-701/14-N and General Research Fund Through Project No. 17256516.
Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2021/1
Y1 - 2021/1
N2 - This paper proposes a novel distributed model predictive control (DMPC) scheme for frequency regulation of multi-area power systems with substantial renewable power sources and different types of controllable units including synchronous generators, flexible loads and energy storage devices. The frequency regulation task is firstly formulated as a model predictive control (MPC) problem, and then is solved by a distributed projection-based algorithm via peer-to-peer communication. The objectives of the proposed controller are twofold. Firstly, it is to maintain the system frequency and net inter-area power exchanges at their nominal values by optimally adjusting the active powers of controllable units. Secondly, it is to make the system variables such as the bus frequencies, power output/consumption of each control-lable unit, ramping rates of generators and stored energy levels of storage devices meet their operational constraints. Case studies demonstrate the effectiveness of the designed control method.
AB - This paper proposes a novel distributed model predictive control (DMPC) scheme for frequency regulation of multi-area power systems with substantial renewable power sources and different types of controllable units including synchronous generators, flexible loads and energy storage devices. The frequency regulation task is firstly formulated as a model predictive control (MPC) problem, and then is solved by a distributed projection-based algorithm via peer-to-peer communication. The objectives of the proposed controller are twofold. Firstly, it is to maintain the system frequency and net inter-area power exchanges at their nominal values by optimally adjusting the active powers of controllable units. Secondly, it is to make the system variables such as the bus frequencies, power output/consumption of each control-lable unit, ramping rates of generators and stored energy levels of storage devices meet their operational constraints. Case studies demonstrate the effectiveness of the designed control method.
KW - Demand response
KW - Distributed optimization
KW - Energy storage system
KW - Frequency control
KW - Model predictive control
UR - http://www.scopus.com/inward/record.url?scp=85089067299&partnerID=8YFLogxK
U2 - 10.1016/j.epsr.2020.106642
DO - 10.1016/j.epsr.2020.106642
M3 - Article
AN - SCOPUS:85089067299
SN - 0378-7796
VL - 190
JO - Electric Power Systems Research
JF - Electric Power Systems Research
M1 - 106642
ER -
