
Modelling Demand Response to Alleviate Congestion in Active Power Market
Author(s) -
Erita Astrid,
Citra Dewi,
Doni Tri,
Putra Yanto
Publication year - 2021
Publication title -
international journal of advanced trends in computer science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3091
DOI - 10.30534/ijatcse/2021/1111022021
Subject(s) - demand response , price elasticity of demand , load management , incentive , elasticity (physics) , power consumption , computer science , power flow , power demand , congestion management , operations research , power market , network congestion , electric power system , business , microeconomics , economics , electricity , power (physics) , computer network , engineering , materials science , physics , quantum mechanics , network packet , electrical engineering , composite material
A new method of congestion management in deregulated and competitive power system based on a combination of Demand Response (DR) program and generation re-dispatch is proposed in this research. One of DR program called Emergency Demand Response Program (EDRP) is carried out through customer's willingness to participate in this program in order to reduce their consumption during congestion. EDRP is modeled based on demand elasticity of the load and considering incentives. Different level of demand elasticity values is introduced to the customers to observe their contribution in congestion relief. The proposed method is examined on IEEE 30 bus system by using the Optimal Power Flow tool and it indicates that by integrating the customer’s elasticity for EDRP can decrease the cost to relieve the congestion and lead more benefit for all participants. The obtained results are the cost to manage congestion problem and optimal re-dispatch of generators by involving the participation of customers in EDRP.