Optimal automatic generation controllers in a multi‐area interconnected power system with utility‐scale PV plants. Issue 4 (13th September 2019)
- Record Type:
- Journal Article
- Title:
- Optimal automatic generation controllers in a multi‐area interconnected power system with utility‐scale PV plants. Issue 4 (13th September 2019)
- Main Title:
- Optimal automatic generation controllers in a multi‐area interconnected power system with utility‐scale PV plants
- Authors:
- Wei, Yawei
Jayawardene, Iroshani
Kumar Venayagamoorthy, Ganesh - Abstract:
- Abstract : The centralised utility‐scale photovoltaic (PV) plants installation has greatly enlarged their percentage in the bulk power systems, along with the nature uncertainty for the balance of system power and loads. Consequently, the successful integration of solar PV power in large‐scale power systems requires a reliable and efficient multi‐area automatic generation control (AGC) system within the control centre. Specifically, area‐AGCs that perform tie‐line bias control, in which the area frequency regulates the tie‐line power flow, must balance the operational control area supply power‐and‐demand loads within a pre‐tuned parameter set. Traditional AGC control systems have area linear controllers that must be periodically tuned to manage the high fluctuation of PV power. A practical two‐step tuning method to determine the optimal parameters of existing multi‐area AGCs is presented. The proposed method is demonstrated on a five‐area multi‐machine power system with two large PV plants. The power system was equipped with the synchrophasor‐based monitoring system, with a real‐time simulation platform serving as the application host. Results indicated that the two‐step tuning method provides optimal parameters for all the system AGCs over a wide range of PV penetration levels. Typical results demonstrated the effectiveness of the tuned multi‐area AGCs under dynamic conditions and disturbances.
- Is Part Of:
- IET smart grid. Volume 2:Issue 4(2019)
- Journal:
- IET smart grid
- Issue:
- Volume 2:Issue 4(2019)
- Issue Display:
- Volume 2, Issue 4 (2019)
- Year:
- 2019
- Volume:
- 2
- Issue:
- 4
- Issue Sort Value:
- 2019-0002-0004-0000
- Page Start:
- 581
- Page End:
- 593
- Publication Date:
- 2019-09-13
- Subjects:
- power system control -- photovoltaic power systems -- power generation control -- power system stability -- power engineering computing -- power system interconnection -- power grids -- frequency control
supply power -- ‐demand loads -- pre‐tuned parameter -- traditional AGC control systems -- area linear controllers -- two‐step tuning method -- optimal parameters -- existing multiarea AGCs -- five‐area multimachine power system -- system AGCs -- PV penetration levels -- optimal automatic generation controllers -- multiarea interconnected power system -- utility‐scale PV plants -- centralised utility‐scale photovoltaic plants installation -- bulk power systems -- system power -- solar PV power -- large‐scale power systems -- multiarea automatic generation control system -- control centre -- area‐AGCs -- tie‐line bias control -- area frequency -- tie‐line power flow
B0260 Optimisation techniques -- B8110B Power system management, operation and economics -- B8110C Power system control -- B8250 Solar power stations and photovoltaic power systems -- C1180 Optimisation techniques -- C3110G Frequency control -- C3340H Control of electric power systems -- C7410B Power engineering computing
Smart power grids -- Periodicals
Computer science -- Periodicals
Energy industries -- Periodicals
Broadcasting -- Periodicals
333.79110285 - Journal URLs:
- https://ietresearch.onlinelibrary.wiley.com/journal/25152947 ↗
http://digital-library.theiet.org/content/journals/iet-stg ↗
http://ieeexplore.ieee.org/Xplore/home.jsp ↗ - DOI:
- 10.1049/iet-stg.2018.0238 ↗
- Languages:
- English
- ISSNs:
- 2515-2947
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4363.253556
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16425.xml