Contingency Analysis of Power Systems with Artificial Neural Networks

Schäfer, Florian; Menke, Jan‐Hendrik; Braun, Martin

doi:10.1109/smartgridcomm.2018.8587482

Cited by 17 publications

(16 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…pandapower has already shown to be well suited as a tool for solving automated planning problems [40], thereby considering different effects like restoration [41], operation strategies [42] or asset management [43]. It was also used for testing new approaches to contingency analysis [44], curtailment minimization of distributed generators [45], state estimation [46] and fault occurrence evaluation [47]. Its special potential lies in the application within studies that automatedly analyze large grid areas, such as grid integration studies [10,48] or energy loss studies [49,50].…”

Section: Multi-energy Grid Simulation: Overview Of Approaches and Reqmentioning

confidence: 99%

pandapipes: an Open Source Piping Grid Calculation Package for the Application in Coupled Multi-Energy Grid Simulations

Lohmeier¹,

Cronbach²,

Drauz³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

The increasing complexity of the design and operation evaluation process of multi-energy grids (MEGs) requires tools for the coupled simulation of power, gas and district heating grids. Most tools analyzed in this paper either do not allow coupling of infrastructures, simplify the grid model or are not publicly available. We introduce the open source piping grid simulation tool pandapipes that – in interaction with pandapower - fulfills three crucial criteria: clear data structure, adaptable MEG model setup and performance. In an introduction to pandapipes we illustrate how it fulfills these criteria through its internal structure and demonstrate how it performs in comparison to STANET®. Then we show two case studies that have been performed with pandapipes already. The first case study demonstrates a peak shaving strategy as interaction of a local electricity and district heating grid in a small settlement. The second case study analyzes the potential of a power-to-gas device to serve as flexibility in a power grid under consideration of gas grid constraints. They both show the importance of a clear database, a simple simulation setup and good performance to set up different large and complex studies on grid infrastructure design and operation.

show abstract

Section: Multi-energy Grid Simulation: Overview Of Approaches and Reqmentioning

confidence: 99%

pandapipes: an Open Source Piping Grid Calculation Package for the Application in Coupled Multi-Energy Grid Simulations

Lohmeier¹,

Cronbach²,

Drauz³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Transmission and sub-transmission power systems supply many customers and therefore, there is a need for defensive operation for more reliability in the transmission and subtransmission line in case of component failure or malfunctioning [2]. This can be remedy by applying the single contingency policy (SCP) [3]. The system is designed in such a way that if a transmission line or transformer fails to operate, the system as a whole is still able to operate [4].…”

Section: Introductionmentioning

confidence: 99%

“…Contingency analysis should be used by planning the working condition of the system in other to measure the efficiency of the power system and the requirement for the future expansion of the transmission lines due to load growth, power loss, or increase in generation [3].…”

Section: Introductionmentioning

confidence: 99%

Implementation of adaptive neuro fuzzy inference system and back propagation neural network for the appraisal of power system contingency analysis

Yakubu¹,

B²,

Najashi³

et al. 2022

GSC Adv. Eng. Technol.

View full text Add to dashboard Cite

Power System Security and Contingency analysis is one of the most important tasks in power systems. In operation, contingency analysis assists engineers to operate the power system at a secure and safe operating point where equipment are loaded within their safe operating area (SOA). Power is dispatched to customers with acceptable quality standards. The results of off-line load flow calculations are used to estimate performance indices (PI flow, PI V). MATLAB toolbox was the proposed methodology used for the implementation. The proposed approach for contingency analysis was found to be appropriate for screening and ranking fast voltage and line flow contingencies.

show abstract

“…Even though there is still lot of concern and research devoted to the processing of such a huge amount of recorded data [3] and its reliable communication back to distribution system operator database [4,5], the usefulness of measurement data availability is already obvious [1,2,[6][7][8][9][10][11]. One of the fields that will benefit from the detailed measurement data availability would be distribution system modelling, planning, and operation optimization [1,6,7,[11][12][13][14], which will be more accurate.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Dense-Mesh Distribution Network Operation Using Long-Term Monitoring Data

et al. 2019

View full text Add to dashboard Cite

The technical and economic aspects and the possibility of the mesh network topology offering many radial configurations lead to the fact that large municipal networks are generally under radial operation. However, it is very important to analyze the operation and control of the mesh networks, especially in terms of their safety and durability and in the frame of the smart grid concept, respectively. The article deals with the analysis of the operation of the dense-mesh municipal distribution network of E.ON Distribuce a.s. based on the long-term data from power quality monitors. It also shows a brief view of the current lack of data usability from monitors installed in distribution networks in the context of smart grid.

show abstract

Contingency Analysis of Power Systems with Artificial Neural Networks

Cited by 17 publications

References 10 publications

pandapipes: an Open Source Piping Grid Calculation Package for the Application in Coupled Multi-Energy Grid Simulations

pandapipes: an Open Source Piping Grid Calculation Package for the Application in Coupled Multi-Energy Grid Simulations

Implementation of adaptive neuro fuzzy inference system and back propagation neural network for the appraisal of power system contingency analysis

Analysis of Dense-Mesh Distribution Network Operation Using Long-Term Monitoring Data

Contact Info

Product

Resources

About