Abstract

By installing a battery storage system in the power grid, Distribution Network Operators (DNOs) can solve congestion problems caused by decentralized renewable generation. This paper provides the necessary theory to use such a community battery for grid congestion reduction, backed up by experimental results. A simple network model was constructed by linearizing the load flow equations using a constant impedance load model. Using this model, an accurate estimate of voltage and overload problems is fed into a receding horizon charge path optimizer. The charge path optimization problem is posed as a linear problem and subsequently solved by an LP solver. The algorithms have been applied and validated on a real-world community battery installation. It was found that the voltages and currents can be controlled to a great degree, increasing the grid capacity significantly. The proposed control framework can be used to safeguard network constraints and is compatible with other battery control goals, such as energy trading or energy independence. Network design formulas are described with which a DNO can quickly estimate the potential (de) stabilization of a community battery on the steady-state voltages and currents in the grid.

Highlights

  • The energy landscape is expected to change significantly in the Netherlands over the decades, as the share of renewable energy is increasing

  • By locally storing the energy generated by the solar power installations, the voltage and current in the low voltage network can be kept within the desired bounds

  • This paper reports on various aspects of Distribution Network Operators (DNOs) community battery utilization

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Summary

Introduction

The energy landscape is expected to change significantly in the Netherlands over the decades, as the share of renewable energy is increasing This poses a significant challenge for Distribution Network Operators (DNOs), which are responsible for maintaining a reliable and affordable electricity distribution grid. DNOs do generally not have the knowledge to design and employ a community battery, which results in both newly planned and currently installed storage capacity not being used for congestion control. This paper reports on various aspects of DNO community battery utilization It contains control strategies for using a community battery for LV network congestion management. It is the first study to combine a battery control system with a real time grid model It analyses the battery’s (de) stabilization potential and provides design guidelines for new community batteries

Related work and contributions
Methodology
Low voltage network model
Motivation for linear modeling
Formulating the battery control problem
Experimental setup part I
Community battery design specifications
Experimental setup part II
Conclusion
Findings
Future research

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