scalability and architectures

Scalability and Architectures

Smart Grid Communication

Scalable Communication Architecture

Smart Grid Communication Architecture

Optimal Deployment

Scalability Analysis

Performance Evaluation

Smart Grid Communication

Scalable Communication Architecture

Smart Grid Communication Architecture

Optimal Deployment

Scalability Analysis

Performance Evaluation

Centralized Fossil Fuel Aging Outages, Congestions Vulnerability to

disasters

Cyber-Physical System

Smart Grid Domains

Advanced Metering Infrastructure (AMI)

AMI ◦ Measuring

◦ Collecting

◦ analyzing

Long-Term Data Storage/Management

Challenge: How to build a scalable Communication Infrastructure

Centralized AMI

Poor Scalability ◦ Huge interaction between distant entities

◦ High communication cost of collecting/usage

◦ High Probability of bottleneck

Scalability Analysis ◦ Define suitable performance metric

◦ How metric scales with communication needs

Smart Grid Communication

Scalable Communication Architecture

Smart Grid Communication Architecture

Optimal Deployment

Scalability Analysis

Performance Evaluation

Scalability: ◦ Ability to gracefully handle growing responsibilities

Easiness in increasing resources for growing load

Scalability Measure ◦ Accumulated Bandwidth-Distance Product (ABDP)

Measures the interaction between entities

Model communication resources/costs

Estimate of energy expenditure (one-hope communication)

Estimate of number of hopes in routing

Smart Grid Communication

Scalable Communication Architecture

Smart Grid Communication Architecture

Optimal Deployment

Scalability Analysis

Performance Evaluation

Centralized

Distributed MDMS

Fully Distributed System

Facilitate the management

Non-scalable ◦ Performance of communication

Bottleneck, delay, loss….

◦ Data processing

◦ Communication resources

Long path, bandwidth, hops….

Centralized

Distributed MDMS

Fully Distributed System

Scalable ◦ Shortening distance

◦ Reducing resources

◦ Reducing processing by rectifying data

Centralized

Distributed MDMS

Fully Distributed System

Scalable

Reducing communication costs between MDMS and operation center

Constant bandwidth between distributed and central server

Smart Grid Communication

Scalable Communication Architecture

Smart Grid Communication Architecture

Optimal Deployment

Scalability Analysis

Performance Evaluation

Practical deployment ◦ Cost of MDMSs

◦ Communication costs:

Distance

Bandwidth

◦ Architecture

Distributed: Minimizing the total cost

Distributed: Minimizing the total cost

Un-capacitated facility location problem

Decision Problem ◦ Answer: Y/N

◦ P: polynomial-time algorithm

◦ NP: polynomial-time algorithm

with non-deterministic machine

◦ NP-hard (Non-Deterministic

Polynomial-time hard) problem

[Traveling Salesman Problem]

There is no effective method

Complexity increases exponentially with M, N

Heuristic (approximate) algorithms

Smart Grid Communication

Scalable Communication Architecture

Smart Grid Communication Architecture

Optimal Deployment

Scalability Analysis

Performance Evaluation

Total Cost: ◦ Centralized

◦ Distributed

◦ Fully Distributed

◦ TotCost(C)>TotCost(D)>TotCost(F)

◦ TotCost(C) linrealy increases with parameters

Accumulated Bandwidth-Distance Product ◦ Centralized

◦ Distributed

◦ Fully Distributed

◦ ABDP(C)>ABDP(D)>ABDP(F)

◦ Fully distributed is more scalable than Distributed

Smart Grid Communication

Scalable Communication Architecture

Smart Grid Communication Architecture

Optimal Deployment

Scalability Analysis

Performance Evaluation

Impact of Smart Meters on Scalability Analysis ◦ distance and data rate

◦ Number of Smart Meters

◦ Unrealistic Simulation Results

Scalability Analysis is too asymptotic based on many simplifications ◦ Other-cell Interference

◦ Cost of Concentrators

Wireless and backhaul Capacity in Decision Making Process ◦ Between concentrators and MDMS

◦ Between MDMS and Central Server

QoS requirements ◦ Cost of Security

◦ Cost of Latency

Questions?