Planning process for distribution grids based on flexibly generated time series considering RES, DSM and storages

Kays, Jan; Rehtanz, Christian

doi:10.1049/iet-gtd.2015.0825

Cited by 20 publications

(8 citation statements)

References 21 publications

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“…From LV to HV level, the time series for the photovoltaics (PV), wind and biomass (BM) plants were created with the aid of the agent-based tool SIMONA [41,42]. Real weather data from the German meteorological service (Deutscher Wetter Dienst, DWD) were used.…”

Section: Generation Time Seriesmentioning

confidence: 99%

SimBench—A Benchmark Dataset of Electric Power Systems to Compare Innovative Solutions Based on Power Flow Analysis

et al. 2020

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Publicly accessible, elaborated grid datasets, i.e., benchmark grids, are well suited to publish and compare methods or study results. Similarly, developing innovative tools and algorithms in the fields of grid planning and grid operation is based on grid datasets. Therefore, a general methodology to generate benchmark datasets and its voltage level dependent implementation is described in this paper. As a result, SimBench, a comprehensive dataset for the low, medium, high and extra-high voltage level, is presented. Besides grids that can be combined across several voltage levels, the dataset offers an added value by providing time series for a whole year as well as future scenarios. In this way, SimBench is applicable for many use cases and simplifies reproducing study results. As proof, different automated algorithms for grid planning are compared to show how to apply SimBench and make use of it as a simulation benchmark.

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Section: Generation Time Seriesmentioning

confidence: 99%

SimBench—A Benchmark Dataset of Electric Power Systems to Compare Innovative Solutions Based on Power Flow Analysis

et al. 2020

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“…The objective of this test feeder is to provide a tool that enables the analysis of wholesale electric power markets joined with the features of an actual feeder with smart-grid technologies. This test feeder is used in smart-grid studies [51] and planning process analysis [52,53].…”

Section: Agent-based Distribution Test Feeder With Smart-grid Functiomentioning

confidence: 99%

A Review of Power Distribution Test Feeders in the United States and the Need for Synthetic Representative Networks

et al. 2017

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Abstract:Under the increasing penetration of distributed energy resources and new smart network technologies, distribution utilities face new challenges and opportunities to ensure reliable operations, manage service quality, and reduce operational and investment costs. Simultaneously, the research community is developing algorithms for advanced controls and distribution automation that can help to address some of these challenges. However, there is a shortage of realistic test systems that are publically available for development, testing, and evaluation of such new algorithms. Concerns around revealing critical infrastructure details and customer privacy have severely limited the number of actual networks published and that are available for testing. In recent decades, several distribution test feeders and US-featured representative networks have been published, but the scale, complexity, and control data vary widely. This paper presents a first-of-a-kind structured literature review of published distribution test networks with a special emphasis on classifying their main characteristics and identifying the types of studies for which they have been used. This both aids researchers in choosing suitable test networks for their needs and highlights the opportunities and directions for further test system development. In particular, we highlight the need for building large-scale synthetic networks to overcome the identified drawbacks of current distribution test feeders.

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“…All the described communication steps are performed by sending or receiving JADE messages. For further information on the overall system concept please refer to [1], [7]- [8].…”

Section: Findings On System's State Of the Artmentioning

confidence: 99%

Holistic network planning approach: enhancement of the grid expansion using the flexibility of network participants

Jendernalik¹,

Giavarra²,

Engels

et al. 2017

CIRED - Open Access Proceedings Journal

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DSO's are facing significant challenges in network planning due to the integration of DER, Smart Grid technologies, E-Mobility, regulation and volatile market conditions. In previous work it was shown (A) how DSO's are able to optimize planning of network assets in the presence of high uncertainty [1] and (B) how to describe the interdependencies between all market participants in an agent-based fashion to derive forecasts of prices, generation & demand [3]. Here the integration of these solutions across all voltage levels by means of long-term network planning is presented. Thereby smart grid components extend the traditional grid planning process. This extension merges time-series based network planning approaches with models of active and reactive innovative network participants. This results in robust and futureproofed network planning.

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Planning process for distribution grids based on flexibly generated time series considering RES, DSM and storages

Cited by 20 publications

References 21 publications

SimBench—A Benchmark Dataset of Electric Power Systems to Compare Innovative Solutions Based on Power Flow Analysis

SimBench—A Benchmark Dataset of Electric Power Systems to Compare Innovative Solutions Based on Power Flow Analysis

A Review of Power Distribution Test Feeders in the United States and the Need for Synthetic Representative Networks

Holistic network planning approach: enhancement of the grid expansion using the flexibility of network participants

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