Integrated transmission &amp; distribution system modeling and analysis: Need &amp; advantages

Jain, Himanshu; Rahimi, Kaveh; Tbaileh, Ahmad; Broadwater, Robert; Jain, Akshay Kumar; Dilek, Murat

doi:10.1109/pesgm.2016.7741235

Cited by 33 publications

(36 citation statements)

References 17 publications

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“…A term “TSO‐DSO coordination” has been under extensive research, as fast growing power network changes are creating above‐mentioned challenges and causing least‐cost operation more challenging to attain. This can be resolved by substantial coordination framework between transmission and distribution network . Therefore, TSO‐DSO coordination is inevitable and TSO and DSO rules for sharing power needs to be reviewed as per system requirements …”

Section: Introductionmentioning

confidence: 99%

“…This can be resolved by substantial coordination framework between transmission and distribution network. 1 Therefore, TSO-DSO coordination is inevitable and TSO and DSO rules for sharing power needs to be reviewed as per system requirements. 2 While DGs incorporation is increasing progressively, the coordination between transmission and distribution system should be improved for effective utilization of resources.…”

Section: Introductionmentioning

confidence: 99%

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TSO and DSO with large‐scale distributed energy resources: A security constrained unit commitment coordinated solution

Nawaz

Wang

et al. 2019

Int Trans Electr Energ Syst

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Summary Modern power system requires optimally coordinated operation between transmission and distribution systems due to large‐scale integration of distributed energy resources (DERs). Commonly, transmission system operator (TSO) solves its own cost optimization problem and evaluates required targets for each distribution system operator (DSO). Thus, TSO problem becomes more complex and highly scaled with increase in number of connected distribution systems, which requires more computational time and resources. Therefore, this paper proposed a method to reduce computational burden on TSO and solve coordinated security constrained unit commitment (C‐SCUC) problem by involving a coordinator in upper level hierarchy. Coordinator is required to solve system‐wide problem to adjust targets for transmission system (TS) and all distribution systems (DS). Besides, TSO and DSO only need to solve their own cost optimization problems. In this paper, we have proposed analytical target cascading (ATC) along with hybridized particle swarm optimization with differential evolution (PSO‐DE) for solving increased complexity of the coordinated problem. ATC provides coordination between transmission and distribution sections of power system while hybrid PSO‐DE provides better accuracy of optimization in ATC layers. For evaluation of efficacy of proposed method, this paper has taken IEEE 118‐bus system as TS and IEEE 33‐bus system as DS. Results has depicted that proposed method could help TSO in reducing computational resources and improving computational time.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

TSO and DSO with large‐scale distributed energy resources: A security constrained unit commitment coordinated solution

Nawaz

Wang

et al. 2019

Int Trans Electr Energ Syst

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“…Traditional “passive” distribution grids are being converted into active distribution grids (ADGs), which can participate in power grid scheduling actively. It is time that the separate approach for planning and operating power systems be revisited …”

Section: Introductionmentioning

confidence: 99%

Dynamic coordinated scheduling scheme for transmission and distribution system considering uncertainties of distributed generations

Miao

et al. 2019

Int Trans Electr Energ Syst

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Summary The separation scheduling of transmission and distribution (T&D) grids brings unbalanced boundary power and insufficient utilization of grid resources in practice. To solve these problems, a dynamic coordinated scheduling scheme for an integrated T&D framework is developed in this paper. Taking into consideration the operating characteristics of the integrated system, a two‐stage optimization model is proposed considering the shared variables between the T&D grids. The model contains two submodels, which have their own scheduling objectives. Besides, in order to reflect the output characteristics of renewable energy generations (REGs), robust optimization approach is introduced to deal with uncertainties of outputs. To solve this model, a hierarchical optimization algorithm is presented. The algorithm ensures interaction process between the T&D grids and can coordinate the relationship between system economy and robustness effectively. Finally, the case studies verify efficiency of the proposed scheduling scheme.

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“…Therefore, it has become evident that distribution networks, and all its components, can no longer be neglected from studies assessing power systems and its dynamic behavior (Jain et al, 2016). In order to address these issues, many tools and strategies have been proposed in the last years in order to perform the analysis of joint power transmission and distribution (T&D) systems.…”

Section: Introduction 1paper Motivationmentioning

confidence: 99%

A Fundamental Time-Domain and Linearized Eigenvalue Analysis of Coalesced Power Transmission and Unbalanced Distribution Grids using Modelica and the OpenIPSL

Fernandes

Vanfretti

Oliveira

et al. 2019

Linköping Electronic Conference Proceedings

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This paper present mathematical modeling and implementation in Modelica language of a coalesced electric power transmission and distribution system model. To this end, a newly developed feature in OpenIPSL that allows to amalgamate power transmission and distribution networks at the equation level is described, two different sample power systems are assembled and three simulations are performed for each of them in a Modelica-compliant software. Dynamic simulations are carried out to perform comparisons between different modeling approaches for a distribution feeder and among different load characteristics. Moreover, each simulation is linearized using a script in ten specific time instants and an eigenvalue comparison is performed. Results show that the conventional positive sequence models may lead to errors about the dynamic behavior of the entire system, specially when considering unbalances in distribution networks.

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Integrated transmission & distribution system modeling and analysis: Need & advantages

Cited by 33 publications

References 17 publications

TSO and DSO with large‐scale distributed energy resources: A security constrained unit commitment coordinated solution

TSO and DSO with large‐scale distributed energy resources: A security constrained unit commitment coordinated solution

Dynamic coordinated scheduling scheme for transmission and distribution system considering uncertainties of distributed generations

A Fundamental Time-Domain and Linearized Eigenvalue Analysis of Coalesced Power Transmission and Unbalanced Distribution Grids using Modelica and the OpenIPSL

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