Details
| Original language | English |
|---|---|
| Title of host publication | 2018 IEEE Electronic Power Grid (eGrid) |
| Number of pages | 6 |
| ISBN (electronic) | 978-1-5386-7665-3 |
| Publication status | Published - Nov 2018 |
| Event | 2018 IEEE Electronic Power Grid (eGrid) - Charleston, United States Duration: 12 Nov 2018 → 14 Nov 2018 |
Abstract
Keywords
- frequency control, load flow control, load regulation, Newton-Raphson method, power grids, power markets, dynamic power flows, quasi-steady-state simulation, case studies, standard modeling approach, simplified model, dynamic processes, Newton-Raphson based power flow calculation program, system inertia, load-frequency controls, power flows, IGCC congestion management, exchanged control power, optimized secondary control power activation, transmission system operators, international grid control cooperation, Mathematical model, Load modeling, Load flow, Generators, Reluctance motors, Optimization, Differential equations, International grid control cooperation, Dynamic power flow, Secondary control power optimization, Load-frequency control
ASJC Scopus subject areas
- Mathematics(all)
- Control and Optimization
- Energy(all)
- Energy Engineering and Power Technology
- Engineering(all)
- Electrical and Electronic Engineering
- Computer Science(all)
- Computer Networks and Communications
- Energy(all)
- Renewable Energy, Sustainability and the Environment
Sustainable Development Goals
Cite this
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2018 IEEE Electronic Power Grid (eGrid). 2018. 8598698.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Comparison of Methods for the Simulation of Dynamic Power Flows in the International Grid Control Cooperation
AU - Pawellek, Arne
AU - Hofmann, Lutz
N1 - Publisher Copyright: © 2018 IEEE. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2018/11
Y1 - 2018/11
N2 - The international grid control cooperation (IGCC), which consists of eleven transmission system operators (TSO), provides an optimized secondary control power (SCP) activation [1]. According to the European guideline for electricity balancing [2], the optimization in this field shall be expanded in the future. Consequently, the amount of exchanged control power will rise and the relevance of the IGCC congestion management (CM) will be increased. Studies on the CM require a model, which allows the simulation of the power flows under consideration of the IGCC and the CM. A model for this purpose is suggested in [3]. This model is based on standard approach for the analysis of load-frequency controls, representing the overall system inertia with one equivalent generator [4]. This model is combined with a Newton-Raphson based power flow calculation program for the simulation of the dynamically changing power flows. Since the focus of the model is to represent dynamic processes on the long-time-scale, the underlying assumptions seem acceptable and the model delivers plausible results in first studies on new concepts for the CM [5]. Due to its simplicity, the model is easy to use and shall be utilized in further studies on the IGCC and its CM. In this paper, the simplified model is compared to a standard modeling approach for quasi-steady-state simulation with distributed rotating mases. For this purpose, both models are implemented in MATLAB, the advantages and limits of the simplified model are discussed and the differences are illustrated in various case studies. Focus of the case studies is the impact of the modeling approach on the results regarding the assessment of different CM concepts.
AB - The international grid control cooperation (IGCC), which consists of eleven transmission system operators (TSO), provides an optimized secondary control power (SCP) activation [1]. According to the European guideline for electricity balancing [2], the optimization in this field shall be expanded in the future. Consequently, the amount of exchanged control power will rise and the relevance of the IGCC congestion management (CM) will be increased. Studies on the CM require a model, which allows the simulation of the power flows under consideration of the IGCC and the CM. A model for this purpose is suggested in [3]. This model is based on standard approach for the analysis of load-frequency controls, representing the overall system inertia with one equivalent generator [4]. This model is combined with a Newton-Raphson based power flow calculation program for the simulation of the dynamically changing power flows. Since the focus of the model is to represent dynamic processes on the long-time-scale, the underlying assumptions seem acceptable and the model delivers plausible results in first studies on new concepts for the CM [5]. Due to its simplicity, the model is easy to use and shall be utilized in further studies on the IGCC and its CM. In this paper, the simplified model is compared to a standard modeling approach for quasi-steady-state simulation with distributed rotating mases. For this purpose, both models are implemented in MATLAB, the advantages and limits of the simplified model are discussed and the differences are illustrated in various case studies. Focus of the case studies is the impact of the modeling approach on the results regarding the assessment of different CM concepts.
KW - frequency control
KW - load flow control
KW - load regulation
KW - Newton-Raphson method
KW - power grids
KW - power markets
KW - dynamic power flows
KW - quasi-steady-state simulation
KW - case studies
KW - standard modeling approach
KW - simplified model
KW - dynamic processes
KW - Newton-Raphson based power flow calculation program
KW - system inertia
KW - load-frequency controls
KW - power flows
KW - IGCC congestion management
KW - exchanged control power
KW - optimized secondary control power activation
KW - transmission system operators
KW - international grid control cooperation
KW - Mathematical model
KW - Load modeling
KW - Load flow
KW - Generators
KW - Reluctance motors
KW - Optimization
KW - Differential equations
KW - International grid control cooperation
KW - Dynamic power flow
KW - Secondary control power optimization
KW - Load-frequency control
UR - http://www.scopus.com/inward/record.url?scp=85061503720&partnerID=8YFLogxK
U2 - 10.1109/egrid.2018.8598698
DO - 10.1109/egrid.2018.8598698
M3 - Conference contribution
SN - 978-1-5386-7666-0
BT - 2018 IEEE Electronic Power Grid (eGrid)
T2 - 2018 IEEE Electronic Power Grid (eGrid)
Y2 - 12 November 2018 through 14 November 2018
ER -