Combined power market and power grid modeling: First results of the project SystemKontext

Mende, Denis; Böttger, Diana; Ganal, Irina; Löwer, Lothar; Harms, Yannic; Bofinger, Stefan

doi:10.1109/eem.2017.7981995

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…The random matrix theory [31] contains the efficient application theory of statistics and analysis of the natural state characteristics of parallel power grid data and energy spectrum changes [32], obtains the random degree of system data distribution in the actual measurement results and then deduces and obtains the correlation between different system form distribution and power grid data. The data correlation calculation system model of the future parallel power grid is written as follows:…”

Section: Analysis and Improvement Of The Resource Joint Constraint Sy...mentioning

confidence: 99%

Research on future parallel power grid architecture

Sun

Fan

2022

Applied Mathematics and Nonlinear Sciences

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This paper introduces the six distribution levels of physical object layer, object perception layer, storage layer, operation layer, analysis layer and parallel control layer of the future parallel power grid architecture. On this basis, a more targeted analysis model is proposed. Starting from the resource operation level of parallel power grid, the abstract model method is used to analyse the changes of the architecture of resource nodes in different virtual agent sets. The detailed changes of the resource system are described through multi-layer nodes, and the random matrix is used to systematically analyse the operation data of the parallel power grid in the future so as to obtain the architecture mode with the highest adaptability when the actual space and virtual space are associated. Considering that the virtual community in the future parallel power grid is the core part of the architecture, the guidance information received by the virtual community in the power grid is regarded as a three-dimensional state transition probability matrix, which captures the real-time changes of the virtual community. On this basis, taking the future parallel power grid macro-economy as the development prospect, the supply and demand balance conditions of the future power grid are obtained to help the power grid achieve strong development. The experimental results show that the parallel power grid architecture optimised by this method is more in line with the actual development needs; the resource utilisation rate and operation income have a positive growth trend and finally achieve an impressive result of approximately 100%, which is of great help to the development of parallel power grid in the future.

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Section: Analysis and Improvement Of The Resource Joint Constraint Sy...mentioning

confidence: 99%

Research on future parallel power grid architecture

Sun

Fan

2022

Applied Mathematics and Nonlinear Sciences

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“…In the transmission grid, data regarding individual power plants dispatch and aggregated residual load (load minus DG generation) are obtained from a Unit Commitment (UC) model of the German power system [41]. Aggregated consumption values are evenly divided over the total loads and UC results are slightly changed to minimize the mismatch and power flows from and to the slack.…”

Section: Time Series Datamentioning

confidence: 99%

Optimal Control of Wind Farms for Coordinated TSO-DSO Reactive Power Management

et al. 2018

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Abstract:The growing importance of renewable generation connected to distribution grids requires an increased coordination between transmission system operators (TSOs) and distribution system operators (DSOs) for reactive power management. This work proposes a practical and effective interaction method based on sequential optimizations to evaluate the reactive flexibility potential of distribution networks and to dispatch them along with traditional synchronous generators, keeping to a minimum the information exchange. A modular optimal power flow (OPF) tool featuring multi-objective optimization is developed for this purpose. The proposed method is evaluated for a model of a real German 110 kV grid with 1.6 GW of installed wind power capacity and a reduced order model of the surrounding transmission system. Simulations show the benefit of involving wind farms in reactive power support reducing losses both at distribution and transmission level. Different types of setpoints are investigated, showing the feasibility for the DSO to fulfill also individual voltage and reactive power targets over multiple connection points. Finally, some suggestions are presented to achieve a fair coordination, combining both TSO and DSO requirements.

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“…From literature, the trend in power systems is to migrate towards the smart grid concept [9], which starts from the premise that the networks (both transmission and distribution) will be more observable and the elements connected to them—especially in the distribution networks—will be more controllable [10]. By providing an appropriate level of observability and controllability, the new roles of distribution systems as an active entity able to manage diverse operation services to the power system will influence positively on the operation of network [11].…”

Section: Introductionmentioning

confidence: 99%

On the perspective of grid architecture model with high TSO‐DSO interaction

Betancourt-Paulino

Chamorro

González-Longatt

et al. 2021

IET Energy Syst Integration

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The conventional structure of operating transmission and distribution systems is currently experiencing new challenges in maintaining the system operability with the significant changes such renewable energy sources inclusion, technology development, infrastructure revolution, and services provision. A futuristic operation management paradigm at the high level of interaction between Transmission System Operators (TSOs) and Distribution System Operators (DSOs) is presented that supports the usage of flexibility services to simplify the congestion management, and ancillary services procurement by involving the DSO actively in the DSO‐TSO boundaries and the downstream network. The architecture considers new actors such as Distributed Services Aggregator, Prosumers, and Services Market Operators. A comparison between the typical grid structure (including the short‐term smart grid requirements) and the proposed one is presented considering different actors and interactions involved in the operation management of the grid. The opportunities and challenges of the proposed architecture are discussed.

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Combined power market and power grid modeling: First results of the project SystemKontext

Cited by 5 publications

References 6 publications

Research on future parallel power grid architecture

Research on future parallel power grid architecture

Optimal Control of Wind Farms for Coordinated TSO-DSO Reactive Power Management

On the perspective of grid architecture model with high TSO‐DSO interaction

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