Control architecture of power systems: Modeling of purpose and function

Gehrke

et al. 2018

IEEE Trans. Smart Grid

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Abstract-Distributed control strategies applied to power distribution control problems are meant to offer robust and scalable integration of distributed energy resources (DER). However, the term "distributed control" is often loosely applied to a variety of very different control strategies. In particular there is a lack of discrimination between aspects related to communication topology, physical distribution of components and associated control objectives. This has lead to a lack of objective criteria for performance comparison and general quality assessment of state of the art distributed control solutions. For such comparison, a classification is required that is consistent across the different aspects mentioned above. This paper develops systematic categories of control strategies that accounts for communication, control and physical distribution aspects of the problem, and provides a set of criteria that can be assessed for these categories. The proposed taxonomy is applied to the state of the art as part of a review of existing work on distributed control of DER. Finally, we demonstrate the applicability and usefulness of the proposed classification to researchers and system designers.

Section: A Analysis Of Hybrid Architecturesmentioning

confidence: 99%

Taxonomy for Evaluation of Distributed Control Strategies for Distributed Energy Resources

Han

Gehrke

et al. 2018

IEEE Trans. Smart Grid

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“…Such a model enables several forms of qualitative reasoning [17] about control situations with many applications to decision support and systems analysis [18]. A general introduction to MFM is found in [19], [20] and extensions for application to power systems and control structure analysis are presented in [21]- [23]. Tool support for MFM model includes graphical modeling and task dependent reasoning packages for modeling, diagnosis and operator support [18].…”

Section: Functional Conflict Identification Via Mfmmentioning

confidence: 99%

A use case methodology to handle conflicting controller requirements for future power systems

2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST)

Uslar

Tornelli

2015

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Abstract-This paper proposes a standards based requirements elicitation and analysis strategy tailored for smart grid control structure development. Control structures in electric power systems often span across several systems and stakeholders. Requirements elicitation for such control systems therefore requires coordination across many stakeholders and it is challenging to achieve a consistent design. To enable an iterative and distributed development we suggest a conflict management approach as a modular element of the design strategy, focusing on conflict identification and tracing. The idea is to describe a process starting from a tailored IEC 62559 template amended for recording controller conflicts and adapting the underlying use case management repository for collaborative work. Conflict identification is supported by Multilevel Flow Modeling providing abstracted conflict patterns.

“…comparison of different operation and control approaches, however, constitutes a challenge in itself [20], [21].…”

Section: Objective Of This Workmentioning

confidence: 99%

Unified System-Level Modeling of Intermittent Renewable Energy Sources and Energy Storage for Power System Operation

Koch

Ulbig

et al. 2012

IEEE Systems Journal

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135

Abstract-The system-level consideration of intermittent renewable energy sources and small-scale energy storage in power systems remains a challenge as either type is incompatible with traditional operation concepts. Non-controllability and energy-constraints are still considered contingent cases in market-based operation. The design of operation strategies for up to 100 % renewable energy systems requires an explicit consideration of non-dispatchable generation and storage capacities, as well as the evaluation of operational performance in terms of energy efficiency, reliability, environmental impact and cost. By abstracting from technology-dependent and physical unit properties, the modeling framework presented and extended in this paper allows the modeling of a technologically diverse unit portfolio with a unified approach, whilst establishing the feasibility of energy-storage consideration in power system operation. After introducing the modeling approach, a case study is presented for illustration.