Value Assessment of Energy Storage to Support Large Scale PV Integration

This thesis proposes a value assessment method of energy storage to support PV integration. It is applicable for two scenarios, i.e. the connection with energy storage and without energy storage, in order to optimize the total costs of technical measures. For this purpose, the annual 8760h power flow caIculation and the intelligent optimization method are adopted to determine the costs of optimal technical measures packages in both scenarios and then a comparison is made to assess the value of energy storage. The research results show that energy storage can reduce the workload of grid renovation and electricity restriction arising from large-scale connection of distributed photovoltaic although optimization measures are needed in practice. In the current investment costs, energy storage is not economical if only the value of electric quantity is considered. It is necessary to consider the electricity value in order to promote the rapid development of energy storage.