This paper proposes a procedure for the optimal siting and sizing of energy storage systems (ESSs) within active distribution networks (ADNs) hosting large amount stochastic distributed renewable resources. The optimization objective is to minimize ADN’s day-ahead computed dispatch error. allocation ESS determined while taking advantages from their operational features regarding dispatchability...

Electricity distribution is moving towards active, more flexible, smarter and decentralized energy systems. This transition requires System Operators (SO) to dynamically monitor control the power flow across network. Demand Response (DR) can be considered as an alternative solution costly investment of upgrading conventional Distribution Networks (DN). Hence, role DR a considerable potential el...

Electric power distribution networks plays a significant role in providing continuous electrical energy to different categories of customers. In the context present advancements, future load expansion active (ADNs) poses key challenge planning be derived as multi-stage optimization task, including optimal scheme (EPSO). The is multi-attribute decision-making issue with high complexity and solvi...