OPTIMIZATION OF DISTRIBUTION BY MEANS OF SMART METER DATA AND DISTRIBUTED POWER STORAGE
The PODCAST project aims at providing innovative operational tools for the use of distribution-networks monitoring data at various levels (measures in primary stations and substations, smart metering in LV, state estimation through direct monitoring, and pseudo-measures), in order to provide services to:
Distribution System Operator
Development of algorithms for the optimization of distribution-network operational management – regarding the large-scale introduction of non-programmable renewable sources (especially, PV) – by using controllable storage systems alongside to the control of reactive-component compensation systems; super-conductive based technologies are excluded from the project.
Transmission System Operator
Development of functionalities for aggregating and formalizing technical/operational information about the distribution network structure and state; the DSO can provide such information for the optimization of dispatching policies (load profile and local production).
Production and Load Aggregator
Development of functionalities for modeling and managing heterogeneous electric loads and distributed generation – particularly effective for the use of smart-meter data – with reference to the development of autonomous Energy Communities, including of residential, industrial, and service-sector users.
The project will implement these innovations exploiting the state-of-the-art technologies for data measuring and transmission, focusing on value-added features that can be provided based on the modeling and analysis of the big amount of data available, collected by electronic meters (big-data mining). In particular, strategies for management and control of electric and hydric storage-system and policies of Demand Side Management will be pursued.
The project will extend the scientific and technical results obtained by the SmartGen project. Starting from the SmartGen Distribution Management System (DMS) prototype, three different experimental functional modules will be designed and developed, dedicated to DSO, TSO, and PLA. These modules will be able, on the one hand, to support the DSO operating policies and, on the other hand, to anticipate the TSO and PLA operating policies, in compliance with the feasibility (technical feasibility, costs) and replicability (needs assessment of the industry) of the proposed solutions.