Details
| Original language | English |
|---|---|
| Title of host publication | NEIS 2021 |
| Subtitle of host publication | Conference on Sustainable Energy Supply and Energy Storage Systems |
| Editors | Detlef Schulz |
| Publisher | VDE Verlag GmbH |
| Pages | 113-120 |
| Number of pages | 8 |
| ISBN (electronic) | 9783800756513 |
| ISBN (print) | 978-3-8007-5651-3 |
| Publication status | Published - 14 Sept 2021 |
| Event | NEIS 2021: 9th Conference on Sustainable Energy Supply and Energy Storage Systems - Helmut Schmidt Universität, Hamburg, Germany Duration: 13 Sept 2021 → 14 Sept 2021 https://neis-conference.com/ |
Abstract
Keywords
- eess.SY, cs.SY, Grid Control Optimization, Redispatch, Sequential Quadratic Constrained Quadratic Programming, Particle Swarm Optimization, Security Constrained Optimal Power Flow
ASJC Scopus subject areas
Sustainable Development Goals
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NEIS 2021: Conference on Sustainable Energy Supply and Energy Storage Systems. ed. / Detlef Schulz. VDE Verlag GmbH, 2021. p. 113-120.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Comparison of Convexificated SQCQP and PSO for the Optimal Transmission System Operation based on Incremental In-Phase and Quadrature Voltage Controlled Transformers
AU - Sarstedt, Marcel
AU - Leveringhaus, Thomas
AU - Kluß, Leonard
AU - Hofmann, Lutz
PY - 2021/9/14
Y1 - 2021/9/14
N2 - The optimal operation of electrical energy systems by solving a security constrained optimal power flow (SCOPF) problem is still a challenging research aspect. Especially, for conventional optimization methods like sequential quadratic constrained quadratic programming (SQCQP) the formulation of the incremental control variables like in-phase and quadrature voltage controlled transformers in a solver suitable way is complex. Compared to this, the implementation of these control variables within heuristic approaches like the particle swarm optimization (PSO) is simple but problem specific adaptations of the classic PSO algorithm are necessary to avoid an unfortunate swarm behavior and local convergence in bad results. The objective of this paper is to introduce a SQCQP and a modified PSO approach in detail to solve the SCOPF problem adequately under consideration of flexible incremental in-phase and quadrature transformers tap sets and to compare and benchmark the results of both approaches for an adapted IEEE 118-bus system. The case-study shows that both approaches lead to suitable results of the SCOPF with individual advantages of the SQCQP concerning the quality and the reproducibility of the results while the PSO lead to faster solutions when the complexity of the investigation scenario increases.
AB - The optimal operation of electrical energy systems by solving a security constrained optimal power flow (SCOPF) problem is still a challenging research aspect. Especially, for conventional optimization methods like sequential quadratic constrained quadratic programming (SQCQP) the formulation of the incremental control variables like in-phase and quadrature voltage controlled transformers in a solver suitable way is complex. Compared to this, the implementation of these control variables within heuristic approaches like the particle swarm optimization (PSO) is simple but problem specific adaptations of the classic PSO algorithm are necessary to avoid an unfortunate swarm behavior and local convergence in bad results. The objective of this paper is to introduce a SQCQP and a modified PSO approach in detail to solve the SCOPF problem adequately under consideration of flexible incremental in-phase and quadrature transformers tap sets and to compare and benchmark the results of both approaches for an adapted IEEE 118-bus system. The case-study shows that both approaches lead to suitable results of the SCOPF with individual advantages of the SQCQP concerning the quality and the reproducibility of the results while the PSO lead to faster solutions when the complexity of the investigation scenario increases.
KW - eess.SY
KW - cs.SY
KW - Grid Control Optimization
KW - Redispatch
KW - Sequential Quadratic Constrained Quadratic Programming
KW - Particle Swarm Optimization
KW - Security Constrained Optimal Power Flow
UR - http://www.scopus.com/inward/record.url?scp=85119391060&partnerID=8YFLogxK
M3 - Conference contribution
SN - 978-3-8007-5651-3
SP - 113
EP - 120
BT - NEIS 2021
A2 - Schulz, Detlef
PB - VDE Verlag GmbH
T2 - NEIS 2021
Y2 - 13 September 2021 through 14 September 2021
ER -