Abstract
The electricity network in the South East of England has become more challenging to manage both for the transmission and distribution network operators due to increased distributed generation connection and increased power flows on transmission interconnectors to and from continental Europe. UK Power Networks (UKPN), the distribution network operator (DNO), has trialled for the first time online contingency analysis on a distribution network in Great Britain. The Kent Active System Management project aims to demonstrate the benefits of using a contingency analysis system for both operational and planning time frames. This study describes challenges and the recommended approach to overcome data exchange and data-quality challenges when developing a real-time power flow model from existing datasets. It provides a real-world example of dealing with data exchange and also highlights the need for transmission system operator/DNO coordination.
Highlights
Since 2013, the south-east region of England has experienced increasing volumes of renewables, with wind and solar photovoltaic (PV) generation connecting to transmission and distribution networks
This paper provides a real-world example of the implementation of an innovative network management solution that requires coordination and data exchange between transmission system operator (TSO) and distribution network operator (DNO)
A new contingency analysis (CA) engine is integrated alongside the distribution management system (DMS) in the UK Power Networks (UKPN) control room
Summary
Since 2013, the south-east region of England has experienced increasing volumes of renewables, with wind and solar photovoltaic (PV) generation connecting to transmission and distribution networks. UK Power Networks (UKPN), the distribution network operator (DNO) in the East Kent region increasingly experiences congested networks, power flow volatility and voltage management issues. Operational coordination between DNO and transmission system operator (TSO) and active management of distributed energy resources are referred as key requirements to improve observability of the network and maintain system security [1]. DNOs are building and operating a flexible network with the ability to control power flows on its network and coordinate with the TSO to manage and optimise an increasingly volatile system [3]. The paper describes the data interoperability issues that were encountered when creating a base-case model from the disparate data sources It highlights the needs for merging operational and planning network data models to obtain a single model to be used for near real-time power flow studies. The paper describes how previously unknown data-quality issues have become apparent, helping to target future maintenance activities
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