Details
| Original language | English |
|---|---|
| Title of host publication | IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference |
| Pages | 1061-1066 |
| Number of pages | 6 |
| ISBN (electronic) | 9781509054183 |
| Publication status | Published - 1 Oct 2016 |
Publication series
| Name | Asia-Pacific Power and Energy Engineering Conference, APPEEC |
|---|---|
| Volume | 2016-December |
| ISSN (Print) | 2157-4839 |
| ISSN (electronic) | 2157-4847 |
Abstract
Keywords
- IEEE standards, optimisation, power grids, power system management, multiobjective optimization, congestion management, economic aspects, technical aspects, power grid, optimization problem, optimization approaches, IEEE 39 bus system, Mathematical model, Optimization, Jacobian matrices, Legged locomotion, Load modeling, Sensitivity, Visualization, economical optimiza-tion, redispatch, load flow sensitivitiy, technical optimization
ASJC Scopus subject areas
- Energy(all)
- Energy Engineering and Power Technology
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IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference. 2016. p. 1061-1066 7779711 (Asia-Pacific Power and Energy Engineering Conference, APPEEC; Vol. 2016-December).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Multiobjective optimization in congestion management considering technical and economic aspects
AU - Mende, D.
AU - Stock, D. S.
AU - Hennig, Tobias
AU - Löwer, L.
AU - Hofmann, L.
N1 - Publisher Copyright: © 2016 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016/10/1
Y1 - 2016/10/1
N2 - The article at hand gives an overview of a newly developed method and tool to flexibly and efficiently remediate different kinds of congestion in the power grid. The presented approach consists of three main steps: Building the network model, identifying the technical factors influencing the congestion, formulating and solving an optimization problem to remediate the congestion by changing the active power set points of power plants. Within the optimization approaches for technically and economically optimized redispatch are presented. The paper focuses on the development of a solution considering both, technical and economic, objectives to find an optimized solution. The problem formulation is explained, implemented and finally tested in a study case using the well-known IEEE 39 bus system. Results expose the special characteristics of the different obtained optimizations. Especially the implemented normalization approach combining technical and economic aspects shows promising results with low costs and a low amount of redispatched power as well.
AB - The article at hand gives an overview of a newly developed method and tool to flexibly and efficiently remediate different kinds of congestion in the power grid. The presented approach consists of three main steps: Building the network model, identifying the technical factors influencing the congestion, formulating and solving an optimization problem to remediate the congestion by changing the active power set points of power plants. Within the optimization approaches for technically and economically optimized redispatch are presented. The paper focuses on the development of a solution considering both, technical and economic, objectives to find an optimized solution. The problem formulation is explained, implemented and finally tested in a study case using the well-known IEEE 39 bus system. Results expose the special characteristics of the different obtained optimizations. Especially the implemented normalization approach combining technical and economic aspects shows promising results with low costs and a low amount of redispatched power as well.
KW - IEEE standards
KW - optimisation
KW - power grids
KW - power system management
KW - multiobjective optimization
KW - congestion management
KW - economic aspects
KW - technical aspects
KW - power grid
KW - optimization problem
KW - optimization approaches
KW - IEEE 39 bus system
KW - Mathematical model
KW - Optimization
KW - Jacobian matrices
KW - Legged locomotion
KW - Load modeling
KW - Sensitivity
KW - Visualization
KW - economical optimiza-tion
KW - redispatch
KW - load flow sensitivitiy
KW - technical optimization
UR - http://www.scopus.com/inward/record.url?scp=85010022030&partnerID=8YFLogxK
U2 - 10.1109/appeec.2016.7779711
DO - 10.1109/appeec.2016.7779711
M3 - Conference contribution
T3 - Asia-Pacific Power and Energy Engineering Conference, APPEEC
SP - 1061
EP - 1066
BT - IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference
ER -