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Conference Paper: Distributed MPC-based frequency control for multi-area power systems with energy storage
Title | Distributed MPC-based frequency control for multi-area power systems with energy storage |
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Authors | |
Keywords | Energy storage system distributed optimization frequency control model predictive control demand response |
Issue Date | 2020 |
Citation | Proceedings of the 21st Power Systems Computation Conference (PSCC 2020), Porto, Portugal, 29 June - 3 July 2020, p. 1-8 How to Cite? |
Abstract | 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 controllable 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. |
Description | Session: Distributed Storage Systems: Control, Scheduling and Planning |
Persistent Identifier | http://hdl.handle.net/10722/289402 |
DC Field | Value | Language |
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dc.contributor.author | Yang, L | - |
dc.contributor.author | Liu, T | - |
dc.contributor.author | Hill, DJ | - |
dc.date.accessioned | 2020-10-22T08:12:09Z | - |
dc.date.available | 2020-10-22T08:12:09Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Proceedings of the 21st Power Systems Computation Conference (PSCC 2020), Porto, Portugal, 29 June - 3 July 2020, p. 1-8 | - |
dc.identifier.uri | http://hdl.handle.net/10722/289402 | - |
dc.description | Session: Distributed Storage Systems: Control, Scheduling and Planning | - |
dc.description.abstract | 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 controllable 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. | - |
dc.language | eng | - |
dc.relation.ispartof | Power Systems Computation Conference Proceedings | - |
dc.subject | Energy storage system | - |
dc.subject | distributed optimization | - |
dc.subject | frequency control | - |
dc.subject | model predictive control | - |
dc.subject | demand response | - |
dc.title | Distributed MPC-based frequency control for multi-area power systems with energy storage | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Liu, T: taoliu@eee.hku.hk | - |
dc.identifier.email | Hill, DJ: dhill@eee.hku.hk | - |
dc.identifier.authority | Liu, T=rp02045 | - |
dc.identifier.authority | Hill, DJ=rp01669 | - |
dc.identifier.hkuros | 316384 | - |
dc.identifier.spage | 1 | - |
dc.identifier.epage | 8 | - |