Optimal offshore wind farms connection considering the wind capacity maximisation – a Benders decomposition approach

This study presents a new methodology to determine the optimal Offshore Wind Farms connection point in a power system, with the purpose of maximising the wind power penetration, considering a Benders decomposition approach to represent the security constraints related to the ‘$N-1$N−1’ contingency c...

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Veröffentlicht in:IET renewable power generation Jg. 14; H. 10; S. 1772 - 1781
Hauptverfasser: Vasconcelos, Leandro Almeida, Passos Filho, João Alberto, de Oliveira, Leonardo Willer
Format: Journal Article
Sprache:Englisch
Veröffentlicht: The Institution of Engineering and Technology 27.07.2020
Schlagworte:
Benders decomposition approach
Brazilian Birds System
connection decision
contingency criterion
IEEE 14‐Bus
IEEE RTS‐79
integer programming
maximum safe wind power penetration
mixed‐integer nonlinear programming approach
nonlinear programming
offshore installations
optimal offshore wind farms connection point
power generation reliability
power system
power system security
Research Article
safe operation
security constraints
single transmission line contingencies
tutorial system
wind capacity maximisation
wind power
wind power injection
wind power plants
connection decision
power generation reliability
IEEE RTS-79
nonlinear programming
integer programming
power system
Benders decomposition approach
IEEE 14-Bus
safe operation
tutorial system
maximum safe wind power penetration
offshore installations
single transmission line contingencies
power system security
wind power
Brazilian Birds System
wind capacity maximisation
wind power plants
mixed-integer nonlinear programming approach
wind power injection
contingency criterion
optimal offshore wind farms connection point
security constraints
ISSN:1752-1416, 1752-1424, 1752-1424
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Beschreibung
Zusammenfassung:This study presents a new methodology to determine the optimal Offshore Wind Farms connection point in a power system, with the purpose of maximising the wind power penetration, considering a Benders decomposition approach to represent the security constraints related to the ‘$N-1$N−1’ contingency criterion. The proposed algorithm uses a mixed-integer non-linear programming approach associated with a non-linear programming, and it is evaluated in a tutorial system (IEEE 14-Bus) and two networks from the literature: a small case (IEEE RTS-79), and a medium and real case (Brazilian Birds System). In each case, three points geographically close to each other are selected as candidates in the onshore grid for the wind power injection. The experiments conducted clearly show that the connection decision from the proposed approach led to the maximum safe wind power penetration among the candidate options, which proves its applicability and effectiveness, even for more complex networks, and considering all single transmission line contingencies for safe operation.
ISSN:1752-1416
1752-1424
1752-1424
DOI:10.1049/iet-rpg.2019.0582