Concept and objectives

SUNSEED objective is to produce a set of guide lines how to overlap, combine and interconnect, i.e. converge, DSO and telecom communication networks for dense DEG (distributed energy generation) smart energy grids as an evolutionary development from state covering end to end infrastructure (last mile to network operations centre, HAN, FAN/NAN, WAN).
SUNSEED systematically addresses this with plan procedures, tools, long-term maintenance procedures and produces a set of guide books to shorten learning curve. It is part of SUNSEED investigation and field trial goals to assess and quantitatively determine viable networking possibilities on the physical, logical and topology layers viewed holistically from combined DSO-telecom perspective.
SUNSEED problem space as depicted in Figure 3 and presents the future dense network of consumers as producers (prosumer) including renewable energy sources (RES) power generation and/or having battery energy storage (e.g. e-car battery, telecom base station battery). Such roadmap requires from the DSO to deploy dense communication networks. Smart grid cannot be managed without equally dense network of sensors and control elements, such as phasor monitoring units PMU, wide area measurement (and control) sensor nodes WAM(C)S placed at strategic positions within grid to make it fully observable, operation within predefined limits and assure its stability. These elements are expensive, so DSOs are striving to solve the optimisation problem of using minimal set of sensors at locations to maintain whole grid observability.
SUNSEED proposes to design, deploy, test on field trial and evaluate the best of breed solution to converge DSO and telecom communication networks to support dense, highly available, resilient smart grid, with smaller total cost of ownership (TCO), shorter deployment time frames (telecom network reuse) and openness to new smart grid network operators. SUNSEED focuses on cost-function optimization, starting from communication networks and their possible convergence (overlap-interconnect-interoperate). Reengineered communication network design investigates special situations (e.g. no last mile communication network present) or to optimize for certain parameter (e.g. latency, density of nodes per mobile base station sector). It is our objective from network planning perspective to achieve reliability and throughput performance when converging two networks (e.g. 1+1 redundancy), reliance on mobile wireless network (2G, 3G, 4G) for access and high throughput WAMS backbone (4G). We plan and design for scalability (e.g. x10 number of nodes supported on the same architectural design) and robustness on network (e.g. link failover) or algorithm levels (e.g. reconfiguration of end nodes, new optimization criteria, fast convergence with reduced information input).