US2022051353A1PendingUtilityA1
Optimal Communication Architecture for Smart Distribution Power Grid
Est. expiryAug 1, 2034(~8 yrs left)· nominal 20-yr term from priority
Y04S40/18H04W 4/38G06Q 50/06H04L 67/12G01R 19/2513G01R 22/066H04W 12/12H04W 12/125Y02D30/70Y04S10/50Y04S20/221Y04S40/00Y04S20/00Y04S40/20Y02E40/70H04Q 2209/60
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Claims
Abstract
A method for configuring a distribution grid with smart communication devices has steps of assuming specific communication technologies to be considered for intermediate intelligent communication devices in the distribution grid, assuming number and location of smart distribution nodes (SDNs) in the distribution grid, executing a cost optimal calculation model determining exact quantity and specific technology of intelligent communication devices at intermediate nodes, nt=n1; n2:::nj with minimal cost subject to Quality of Service (QoS) parameters of each technology and QoS requirement of a data packet generated by a Smart Consumer Node (SCN) at a smart building in the distribution grid, and placing and powering the determined number and specific communication technology of intelligent communication devices at the SDNs of the distribution grid.
Claims
exact text as granted — not AI-modified1 . A method for determining a Cost Optimal Combination of Communication Technology (RACOCCT), comprising executing an algorithm that recursively finds cost optimal communication technology combinations for intermediate intelligent nodes termed Smart Distribution Nodes (SDNs) for a given power grid topology.
2 . The method of claim 1 , wherein the algorithm accepts the power grid topology (PGT), a given life-time of the smart grid (Y), frequency of the chosen data packet (Pf), allowable latency of the chosen data packet (L), a bandwidth requirement of the chosen data packet (B) as input 1 and accepts CT t (Communication Technologies), t=1, 2,3 . . . k, the probability of link unreliability (p) and a reliability constant (Rel) as input 2.
3 . The method of claim 1 , wherein the algorithm initially assumes the longest branch (LB) of the given PGT and then runs a function FINDIDC a Input 2.
4 . The method in claim 1 wherein the algorithm assumes installation cost, maintenance cost, communication cost, flow bandwidth and communication range with the aid of a function GETCOMMDET (CT t ) inside the function FINDIDC.
5 . The method of claim 1 wherein the algorithm rums the function FINDIDC (Input 2) of the method, then runs a cost optimal model for configuring a distribution grid with smart communication devices wherein it minimizes the hybrid communication infrastructure cost (C) for smart distribution grid according to:
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subject to:
Σ t=1 k [ n t −1)× r t ×(1− p ) 2 ]≥ D (2)
N r +1≥1/(1− p ) (3)
Σ t=1 k [ N r +1×( l link +t+r )× n t ]≤ L (4)
Σ t=1 k [( n t −1)× p ]≤ Rel (5)
n t ≥0 (6)
0≤ p< 1 (7)
Max( b link )≤Min( B t ) (8)
wherein:
δ t is Maintenance cost for an intelligent device
C t is Cost of communication for a technology
N r is Number of re-transmissions
I c is Installation cost of an intelligent device
l link is Data latency experienced in the link
t is Delay for transmitting a packet from an intelligent device
r is Delay for receiving the packet from an intelligent device
r t is Communication range based on the technology
Y is Number of years
P f is Frequency of packet transmission
n t is Number of intelligent devices with technology ‘t’
C i (t) is Cost of information capacity requirement for technology ‘t’
n SCN is Number of smart buildings in microgrid
p is Probability of communication link unreliability
b link is Flow bandwidth for the data packet
B t is Maximum flow bandwidth of the technology
L is Latency allowed for the data packet to reach its end destination; and
Rel is Reliability factor
6 . The method of claim 1 , wherein the algorithm runs the function FINDIDC(Input 2), then returns the optimal number of SDNs with the given communication technology combinations and the optimal cost for the hybrid communication network infrastructure.
7 . The method of claim 1 , wherein the algorithm runs the function FINDIDC(Input 2), then populate the branches Branch i j for j=1, 2 . . . l and for i=1,2 . . . h of the LB.
8 . The method of claim 1 , wherein the algorithm runs the function FINDIDC(Input 2), then recursively calls itself till the Branch i j becomes zero.
9 . The method of claim 5 wherein the algorithm executes the cost optimal calculation model determining the optimal hybrid communication infrastructure cost and the exact quantity of intelligent intermediate communication devices or SDNs, n t =n 1 ; n 2 :::n j with specific communication technologies with minimal cost subject to Quality of Service (QoS) parameters of each technology and QoS requirement of a data packet generated by a Smart Consumer Node (SCN) at a smart building in the distribution grid.
10 . The method of claim 5 wherein the cost optimal model assumes ZigBee, Wi-Fi and Cellular as the specific communication technologies in the cost optimal calculation.
11 . The method of claim 5 wherein the QoS parameters considered for each specific technology include data packet latency, bandwidth requirement, link reliability, packet drops and communication range of the technology, for derivation of the cost optimal solution.
12 . The method of claim 1 wherein the algorithm assumes a power grid topology (PGT) with four branches including the longest branch (LB) and assumes ZigBee, Wi-Fi and Cellular as the specific communication technologies.Join the waitlist — get patent alerts
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