In regulated power industry utility wants to do demand response.

Designing a Model to Obtain Residents’ Response for the Financial Incentives

in a Demand Response Program

Abigail C. Teron1, Qinran Hu2, Hantao Cui2, Dr. Fangxing Li2Universidad del Turabo1, University of Tennessee2

•The utility companies are in the search of different ideas and alternatives in order to decrease the use of power through the customers’ motivation of financial incentives in a Demand Response Program.

•Design a model that will predict how much utility needs to pay in incentives to the people in order to get a response in the DR.

•The model focuses on the peoples’ information related to their activities, attitudes and the use of different appliances collected from BLS, EIA and CURENT survey.

Demand Response?

Generator

Houses

ISO

Buy

ele

ctric

ity

Sale

Electricity Market

Utilities

MODELHow much utility want to reduce & When they

want to reduce it

People information

How much they

need to pay to

the people

Changes in electric usage by customers in response of acknowledging electricity price over time or additional financial incentives designed to lower electricity usage during peak hours.

Demand Response?Because the promotion of demand response is an important way to make Power System more efficient, which has become more popular in the last decades.

Why use

Demand Response?Who wants to do

Utility is willing to pay reasonable financial incentives to lower the electricity usage during peak hours.$

How is going to be implement the

• They can not pay more than it should in incentives because the curve can go lower.

• They can not pay less that it should because the curve will increase more than it should.

SolutionDesign a model that find the optimal amount to achieve the DR.

InputOutput

Hidden • Is an interconnected group of nodes, similar to the neuron in the brain.

• Presented as system of interconnected neurons that compute values from inputs.

Represents an artificial neuron Circular nodearrow Connection from the output of one

neuron to the input of another neuron

neural network?• With the use of neurons is a simpler

way to solve problems.• They read an input, process it, and

generate an output.• Key element of the neural network is

their ability to learn characteristics.• It classifies information obtained.

Why use

Abstract Demand Response

Artificial Neural Network

Problem

Model

Conclusion

.

.

.

.

.

.

EIA

BLS

CURENT Survey

y1

.

.

.

y2

ykyk+1yk+2

ym

ym+1ym+2

yn

function

How much utility need to pay to

the people in

incentives

Small case study Functions

Peoples’ Information

People

Information

Historical Data

Appliances

Peoples’ attitude

ActivitiesATUS

EIACURENT

survey

BLS

People information

•Propose a model to get residence response for the financial incentives in demand response.

•Under this model utility is able to predict how much they can pay in incentive to the clients’ in order to decrease the demand to improve the system.

This work made use of Engineering Research Center shared facilities supported by the Engineering Research Center Program of the National Science Foundation and the Department of Energy under NSF Award Number

EEC-1041877 and the CURENT Industry Partnership Program.