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- Publisher Website: 10.1016/j.epsr.2020.106642
- Scopus: eid_2-s2.0-85089067299
- WOS: WOS:000594665200007
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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 | 2021 |
Publisher | Elsevier SA. The Journal's web site is located at http://www.elsevier.com/locate/epsr |
Citation | Proceedings of the 21st Power Systems Computation Conference (PSCC 2020), Porto, Portugal (virtual conference), 29 June - 3 July 2020. In Electric Power Systems Research, 2021, v. 190, article no. 106642 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 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. |
Description | PSCC’2020 conference was held virtually due to COVID-19 |
Persistent Identifier | http://hdl.handle.net/10722/287779 |
ISSN | 2023 Impact Factor: 3.3 2023 SCImago Journal Rankings: 1.029 |
ISI Accession Number ID |
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 | 2020-10-05T12:03:10Z | - |
dc.date.available | 2020-10-05T12:03:10Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Proceedings of the 21st Power Systems Computation Conference (PSCC 2020), Porto, Portugal (virtual conference), 29 June - 3 July 2020. In Electric Power Systems Research, 2021, v. 190, article no. 106642 | - |
dc.identifier.issn | 0378-7796 | - |
dc.identifier.uri | http://hdl.handle.net/10722/287779 | - |
dc.description | PSCC’2020 conference was held virtually due to COVID-19 | - |
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 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. | - |
dc.language | eng | - |
dc.publisher | Elsevier SA. The Journal's web site is located at http://www.elsevier.com/locate/epsr | - |
dc.relation.ispartof | Electric Power Systems Research | - |
dc.relation.ispartof | Proceedings of the 21st Power Systems Computation Conference (PSCC 2020) | - |
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 | Yang, L: lwyang@eee.hku.hk | - |
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.doi | 10.1016/j.epsr.2020.106642 | - |
dc.identifier.scopus | eid_2-s2.0-85089067299 | - |
dc.identifier.hkuros | 315145 | - |
dc.identifier.volume | 190 | - |
dc.identifier.spage | article no. 106642 | - |
dc.identifier.epage | article no. 106642 | - |
dc.identifier.isi | WOS:000594665200007 | - |
dc.publisher.place | Switzerland | - |
dc.identifier.issnl | 0378-7796 | - |