Abstract

Phase shifters are becoming widespread assets operated by transmission system operators to deal with congestions and contingencies using non-costly remedial actions. The setting of these controllable devices, which impacts power flows over large areas, may vary significantly according to the operational conditions. It is thus a key challenge to model phase shifters appropriately in power system simulation. In particular, accounting for the flexibility of phase shifters in reduced network models is a vibrant issue, as system stakeholders rely more and more on reduced models to perform studies supporting operational and investment decisions. Different approaches in the literature are proposed to model phase shifters in reduced network. Nevertheless, these approaches are based on the electrical parameters of the system which are not suitable for reduced network models. To address this problem, our paper proposes a methodology and assesses the impact of this contribution in terms of accuracy of the modelling on reduced network models. The approach was applied to a realistic case-study of the European transmission network that was clustered into a reduced network consisting of 54 buses and 82 branches. The reduction was performed using classical clustering methods and represented using a static power transfer distribution factor matrix. The simulations highlight that including an explicit phase shifter transformers representation in reduced models is of interest, when comparing with the representation using only a static power transfer distribution factor matrix.

Highlights

  • To deal with increasing uncertainty in system operation, Transmission System Operators (TSOs) rely more and more frequently on power flow control devices, such as Phase-Shifter Transformers (PSTs) or High-Voltage Direct Current (HVDC) links

  • Simulations are most frequently based on a simplified representation of the network (e.g., [1,2,3]), and modeling phase shifters in reduced networks has become a vibrant issue

  • Reduced networks generally aim to reflect the main steady-state features of the full system (e.g., [4]), but most studies perform static reductions based on a single operation point and do not consider potential setting variations for the power flow control devices [5,6]

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Summary

Introduction

To deal with increasing uncertainty in system operation, Transmission System Operators (TSOs) rely more and more frequently on power flow control devices, such as Phase-Shifter Transformers (PSTs) or High-Voltage Direct Current (HVDC) links. Energies 2019, 12, 2167 considered multiple operation points in network reduction, but ended up with a reduced model based on static Power Transfer Distribution Factors (PTDF), independent of the setting of power flow control devices. A limitation for these kinds of approaches is the need to know the electrical parameters of the system, namely lines’ impedances or buses’ angles This can be a challenge when dealing with reduced network models, which can often be described using a PTDF matrix only.

Clustering
Defining a PTDF Matrix for Static Network Assets
Defining a PSDF Matrix for Phase Shifters
Illustrative Example
Impact Assessment Metric
Network Data
Load Data
Generators Data
Reduced Model
Impact of PST Modeling
Conclusions
Full Text
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