Download pdf - PAL Presentation

5/24/2018 PAL Presentation

1/30

PowerAnserLabs

PowerAnser Labs

A briefing


2/30

PowerAnserLabs

2

Presentation Flow PowerAnser Labs - Introduction

Motivation

Special Features

webDNA: The Web Delivery Mechanism

MoDE: Monitoring of Distribution Enterprises

Current Basket of Offerings

IIT Bombay, set up by an Act of Parliament, was established in 1958, at Powai, a

northern suburb of Mumbai. Today the Institute is recognized as one of the centers of

academic excellence in the country. Over the years, there has been dynamic progress

at IIT Bombay in all academic and research activities, and a parallel improvement infacilities and infrastructure, to keep it on par with the best institutions in the world.

Institutes in positions of excellence grow with time. The ideas and ideals on which such

institutes are built evolve and change with national aspirations, national perspectives,

and trends world - wide. IIT Bombay, too, is one such institution.www.iitb.ac.in


3/30

PowerAnserLabs

3

Aging

Workforce

IT Adoption Challenges for

Utilities

maintain IT

infrastructure

data modeling

data creation

maintain

data

invest in IT

skilled

people

invest in IT

infrastructure

PowerAnser Labs

not my

corebusiness


4/30

PowerAnserLabs

4

PowerAnser Labs - Introduction


5/30

PowerAnserLabs

5

What is PAL? PAL is PowerAnser Labs

a center that provides power system network analysis services to the electricpower industry

set up in association with IIT- Bombay

Funding: Grant of Rs.84.89L for the 1st year

expenses

Joint team of TCSers & IITians work on PAL

Start date: 2-Apr-2007

Global IT Powerhouse TCS

Reforming Indian Power Sector

Global Academic + R&D IIT - B

PowerAnser

Labs

(PAL)


6/30

PowerAnserLabs

6

What is PAL? Purpose

Conceptualizing & developing power system network analysis applicationservices over the web; conduct joint R&D activities with IIT-B in the areas of

mutual interest

Areas of Interest

Electric power system network analysis application functions including power

markets area & delivery of these application functions services over the web


7/30

PowerAnserLabs

7

Architecture

Decision Support

Infrastructure

Planning

Infrastructure

Cost

Management

Energy Trading &

Risk

Management

Database(Network Model)

Client: TransCo

Client: System Operator

Client: DisCom

Domain Experts

Too

ls

Server Farm

I

n

t

er

n

e

t

I

n

t

er

n

e

t


8/30

PowerAnserLabs

8

PAL Vision & Mission

Be a Leader in Developing Knowledge Based IT Solutions for Electric Power Systems

Vision

Provide IT Tools for the Power Sector on a Web - Services Model Develop and Run Operations Decision Support Applications - Network Analysis,

Markets, Real - time, Planning

Model & Simulate the Electric Grid

Evolve Innovative Processes for Improving the Customer Facing Interactions -

Customer Service/Care, Trouble Management, Others

Mission


9/30

PowerAnserLabs

9

PAL Value Chain: Our Vision

We do Knowledge Engineering How to cultivate utilities as end users?

AdvisoryServices

Pay-for-Use Services

Institutional Memberships

Academic Users

Software Development; SaaS

Begin with Electricity

Expand to Gas & Energy

Software Development + SaaS


10/30

PowerAnserLabs

10

Motivation


11/30

PowerAnserLabs

11

Why PAL? Restructuring power & energy markets

Changes in the way the markets are managed

Customer - centric

Regulatory pressures

Need for new & flexible tools; gaps in available tools

New challenges require new tools

Utilities will need to be better equipped in the emerging Power Exchange

scenario

Use new algorithms and techniques i.e. benefits of latest research on

various topics


12/30

PowerAnserLabs

12

Why PAL?

Workforce issues/talent crunch Power sector is not glamorous

Not attracting the best talent

Aging workforce

Bringing IT/ITeS concept to power industry

24 x 7 available services; access from anywhere Encourage entrepreneurship opportunities for young talent


13/30

PowerAnserLabs

13

Salient Features:webDNA The Web

Delivery Mechanism


14/30

PowerAnserLabs

14

webDNA Web Delivery of

Network ApplicationsGeneral Overview Key Features:

Power System Network is Modeled, Hosted and Maintained

Rich Graphical User Interface

Highly Secure Environment

Remarks:

Web Services Oracle 10g Database

Java, J2EE

Industry Standard Protocols: XML, SOAP, HHTP, SSL

Key Thoughts behind Developing these Tools

Enables Delivery of Network Applications on a Software as a Service Model

Common and Configurable web delivery framework

Brings in the True Benefits of IT/ITeS to the Power Systems Domain Provides 24x7 Access with Online & Offline Modes of Working

P A L b


15/30

PowerAnserLabs

15

Architecture

Server Hardware: Intel Xeon Quad Core Operating System: Red Hat Linux ES

Secure and Encrypted Communication

Rich Graphical User Interface

Decoupled and Scalable

Network

Applications

Database

Web Server

Users

Users

Interne

t

P A L b


16/30

PowerAnserLabs

16

Salient Features:MoDE - Monitoring of Distribution

Enterprises

P A L b


17/30

PowerAnserLabs

17

MoDE - Monitoring of Distribution

Enterprises Distribution utilities today face several challenges

that of managing distribution losses, costs,

customer expectations and

changing legal, policy & regulatory frameworks Utility business processes are executed from geographically distant

locations

Processes are either fully/partly automated and sometimes even manual

as a result it becomes a challenge for a utility to adopt proactive approach

and to take quick and informed decisions which are essential for success

P A L b


18/30

PowerAnserLabs

18

MoDE - Monitoring of Distribution

Enterprises Availability of correct and concise data, in a usable form, is the

key

MoDE has a central data repository that integrates and collects

data from various business processes and presents it in an

intuitive and coherent view

MoDE enables users to instantly and graphically track and monitorvarious key parameters

Network Assets, Equipment Failures, Network Performance

(including regulatory indices), Billing & Collection, Energy Audit, Load

Pattern, Consumer trends, Load Studies, Quality Assessment, etc.

Uses the central data store and webDNA to offer configurable,web based, rich GUI

User can access the data from anywhere and anytime in a highly

secure manner

UI can be customized such that different views involving data from

different business processes can be created to understand the

relationships between them

P A L b


19/30

PowerAnserLabs

19

MoDE Concept

Network Asset

View

Billing &

CollectionView

T&D Loss

View

Equipment

Failure View

Energy Audit

View

Consumer

Information

Network

Performance

View

Load Pattern

View

Apps Results

View

DataWarehouse

Server

Information User Query

Data

Manual Data Entry

GIS

SCADA

AMR

Billing ERP

Apps

other IT systems

Data Source

Front-end

(Clients)

Back-end

(hosted at the

Utility)

Web-based

View Using

IE

Knowledge

Console

PowerAnser Labs


20/30

PowerAnserLabs

20

Current Basket of Offerings

PowerAnser Labs


21/30

PowerAnserLabs

21

Current Offerings from PAL

Decision support tools Infrastructure planning tools

Infrastructure cost management tools

Finance tools related to bidding, risk management etc.

PowerAnser Labs


22/30

PowerAnserLabs

22

Decision Support ToolsGeneral Overview

Tools:

Load Flow Analysis (LFA) Short Term Load Forecasting (STLF)

Security Constrained Optimal Power Flow (SCOPF)

Target Customers:

Transmission Companies

Distribution Companies

ISO (or TSO)

Traders


Critical computational tools required for scheduling loads and generations in an electricity

market

Should do maximization of social welfare (= consumer benefit - generation cost)

Ascertain security of the transmission system under contingencies

ANN, time series, or expert system based approach is used for load forecasting

PowerAnser Labs


23/30

PowerAnserLabs

23

Load Flow Analysis

Given all source and sink MW & MVAR injections in the system,

calculate the

real & reactive power flows in the transmission system along with

system losses, &

voltage profile

Involves solution of non-linear system of equations

Problem size can be of the order of 10,000 nodes

Salient features:

State of the art sparse matrix computation

framework

Object oriented modeling

Fast decoupled Load Flow methodology In collaboration with TCE, all India load flow

has been modeled with about 5,000 nodes for

the first time in India

What others do/how else is it done?

Speed of computation - comparable

Methodology - comparable

Modeling features - comparable

PowerAnser Labs


24/30

PowerAnserLabs

24

Short Term Load Forecasting

Primary purpose is to accurately forecast the next days city load(MW) with 15 min resolution

A utility load is forecasted by summing the city / region loads

Required to accurately schedule generation, calculate UI, &

associated charges

Status:

An expert system using similar day approach

in MATLAB has been implemented

A C++ implementation underway

Short course (10 hrs) on statistical methods

(by Mathematics Dept., IITB) for forecasting

conducted


Forecasting using SAS is being attempted by

another local utility - expensive - we plan to

provide a cost effective and accurate

forecaster

In long run we plan to develop combined

forecasts by using both statistical forecasting

engines (e.g., ARMA, ARIMA) & expert

systems approach

PowerAnser Labs


25/30

PowerAnserLabs

25

SCOPF

Based upon the generator and load bids, optimally schedule generation

and loads, modeling load elasticity:

Lagrangian Multipliers associated with the nodal injections furnish the LMPs

A tool which governs market operations for many markets like PJM, etc

Considers what if situations of contingencies

Salient features:

Plan to develop OPF using SLP approach as it

is robust & comparatively simple to implement.

Dash optimization tool box already procured

Congestion management features will be built

in it - would be useful in open access

environment


A very specialized and sophisticated

application - only few organizations have a

capability to deliver it

Has evolved significantly since deregulation -

many companies must be going through an

up-gradation phase

PowerAnser Labs


26/30

PowerAnserLabs

26

Infrastructure Planning ToolsGeneral Overview

Tools:

Transmission System Expansion Planning Short term, Long term

Distribution System Planning

Reconfiguration, Greenfield Planning

Long Term Load Forecasting

Target Customers:

Transmission Companies

Distribution Companies


Open access was approved by Indian Parliament in 2003

Existing system is plagued with inadequate network infrastructure

Large investments demand optimization tools for planning

Detailed level modeling to simulate planned system

refined algorithms to reach optimal plan

ability to run more what - ifs speed of execution

PowerAnser Labs

T i i S t E i


27/30

PowerAnserLabs

27

Transmission System Expansion

Planning Transmission System Infrastructure development is a focus area all over

the world

This tool finds out the optimal expansion plan over multiple time horizons

by using OR tools and rule based systems

Generation expansion plans, load forecasts, & system reliability

specifications form the input to this tool

Salient Features:

Existing load flow program has been upgraded to handle STEP requirements.- uses a rule based

approach

Can plan for new lines on existing right of ways

Meets CEAs guidelines for planning

Optimal Medium & Long Term TEP tool development planned

Similar approach used by other state of the art packages. STEP program has been successfully used for planning additional TEP requirements for 2011-12 on

an all India Network (220kV and above) in collaboration with TCE

PowerAnser Labs


28/30

PowerAnserLabs

28

Infrastructure Cost Management

ToolsGeneral Overview Tools for fair allocation of:

Transmission System Fixed Costs

Loss Allocation

Fixed Cost of Generators Allocation

Remarks:

Tools will be based on power flow tracing

Transmission companies will require these tools Use of these tools has to be recommended by Regulators


Embedded cost of transmission system as well as MW loss has to be shared by participants

(loads and generators)

Present approach (Postage Stamp - bill based on connected load as a percentage of total load

irrespective of distance) is naive and does not account for actual usage Power Flow Tracing Based solution (multi-commodity flow decomposition tool from OR) will be

used

This aspect is currently bothering the Regulators (CERC, MERC, etc.) across the country

PowerAnser Labs


29/30

PowerAnserLabs

29

Power Flow Tracing Given the power flow solution, calculate the usage of the network by

each commodity, i.e. loads & generators

Use it for computing

Transmission system usage costs of generators and loads

Loss allocation for generator and load entities

Challenge lies in development of a fair allocation scheme

Min - max fairness

Modified postage stamp allocation scheme

Status:

Requires state of the art large and sparse LP

package (Dash Optimization procured for the

purpose)

Variable reduction technique developed Prototyping in MATLAB completed

R&D potential - have come up with a tracing

compliant fixed cost allocation strategy for

Gencos


Optimal power flow tracing is our USP

pioneered by research at IIT Bombay

Other tracing applications use fixed allocation

scheme This application has not trickled into

commercial programs yet

PowerAnser Labs


30/30

PowerAnserLabs

30

thank you,[email protected]@ee.iitb.ac.in

[email protected]