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Demand Response Unit Commitment Problem Solution for Maximizing Generating Companies’ Profit
by
Selvakumar, K.
, Boopathi, C.
, Vijayakumar, K.
in
Cat Swarm Optimization (CSO)
/ Consumers
/ Consumption
/ Customers
/ Demand Response (DR)
/ Demand Response Unit Commitment (DRUC)
/ Electric rates
/ Electricity
/ Energy efficiency
/ Genetic algorithms
/ Incentives
/ Load
/ Optimization
/ Profits
/ Unit Commitment (UC)
2017
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Demand Response Unit Commitment Problem Solution for Maximizing Generating Companies’ Profit
by
Selvakumar, K.
, Boopathi, C.
, Vijayakumar, K.
in
Cat Swarm Optimization (CSO)
/ Consumers
/ Consumption
/ Customers
/ Demand Response (DR)
/ Demand Response Unit Commitment (DRUC)
/ Electric rates
/ Electricity
/ Energy efficiency
/ Genetic algorithms
/ Incentives
/ Load
/ Optimization
/ Profits
/ Unit Commitment (UC)
2017
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Do you wish to request the book?
Demand Response Unit Commitment Problem Solution for Maximizing Generating Companies’ Profit
by
Selvakumar, K.
, Boopathi, C.
, Vijayakumar, K.
in
Cat Swarm Optimization (CSO)
/ Consumers
/ Consumption
/ Customers
/ Demand Response (DR)
/ Demand Response Unit Commitment (DRUC)
/ Electric rates
/ Electricity
/ Energy efficiency
/ Genetic algorithms
/ Incentives
/ Load
/ Optimization
/ Profits
/ Unit Commitment (UC)
2017
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Demand Response Unit Commitment Problem Solution for Maximizing Generating Companies’ Profit
Journal Article
Demand Response Unit Commitment Problem Solution for Maximizing Generating Companies’ Profit
2017
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Overview
Over the recent years there has been an immense growth in load consumption due to which, Load Management (LM) has become more significant. Energy providers around the world apply different load management concepts and techniques to improve the load profile. In order to reduce the stress over the load management, Demand Response Unit Commitment (DRUC), a new concept, has been implemented in this paper. The main feature of this concept is that both the energy providers and consumers must participate in order to get mutual benefits hence maximizing each of their profits. In this paper we discuss the time-based Demand Response Program since there is no penalty observed in this program. When the Demand Response was combined with Unit Commitment and compiled it was observed that a satisfactory solution resulted, which is proved to be mutually beneficial for both Generating Companies (GENCOs) and their customers. Here, we have used a Cat Swarm Optimization (CSO) technique to find the solution for the DRUC problem. The results are obtained using CSO technique for UC problem with and without DR program. This is compared with the results obtained using other conventional methods. The test system considered for the study is IEEE39 bus system.
Publisher
MDPI AG
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