Combining DSM and storage to alleviate current congestion in distribution grids

Abstract

Storing energy is one possible active network management (ANM) technique for reducing wind turbine induced distribution grid congestion. However, in most cases investment costs for installing storage solutions far outweigh the cost for infrastructure upgrades. Our research shows that combining demand side management and storage techniques can prove effective in reducing the total investment costs in certain cases while increasing these costs in other cases. In this work we qualify when demand side management can prove beneficial to the total investment cost of deploying ANM techniques and we quantify the amount of cost decrease DSM can offer. We present cost models for storage and DSM and describe ANM resource allocation techniques while considering real world regulatory constraints.