Abstract
Change in consumer behaviour through uptake of low carbon technologies is likely to put existing distribution networks under strain and worsen the operational requirements of the network. Deployment of energy storage and power electronics is a feasible alternative to traditional network reinforcement. This study presents two control algorithms used with an energy storage device deployed as part of New Thames Valley Vision Project. The two algorithms are aimed at (i) equalising phase loading with correction of power factor and (ii) providing voltage support with Additive Increase Multiplicative Decrease algorithm for active and reactive power control.
Highlights
With the transition towards the low carbon economy and uptake of low carbon technologies (LCTs), consumers’ behaviours change and could create conditions where the operational constraints on the low voltage (LV) network are violated
As part of the New Thames Valley Vision (NTVV) project, Scottish and Southern Energy Networks (SSEN) set out to investigate how energy storage and power electronics are deployed on existing low voltage (LV) network to support the network in transition to a low carbon economy
One of the developed tools is the Smart Control system. This system is designed to operate Energy Storage and Management Units (ESMUs) on the LV network to support network operation based on short-term demand forecast and data from network monitoring
Summary
With the transition towards the low carbon economy and uptake of low carbon technologies (LCTs), consumers’ behaviours change and could create conditions where the operational constraints on the LV network are violated. As part of the New Thames Valley Vision (NTVV) project, Scottish and Southern Energy Networks (SSEN) set out to investigate how energy storage and power electronics are deployed on existing low voltage (LV) network to support the network in transition to a low carbon economy. The NTVV project has developed tools and techniques to better understand how demand is changing and how control of energy storage could meet technical requirements for network operation. One of the developed tools is the Smart Control system This system is designed to operate Energy Storage and Management Units (ESMUs) on the LV network to support network operation based on short-term demand forecast and data from network monitoring. The first control algorithm is designed to balance loading between phases with active power transfer while providing power factor (PF) correction through injection of reactive power
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