@inproceedings{b1dc751f770646739c04b82401239b12,
title = "Reliability Enhancement Based on Demand Response for Profit Maximization",
abstract = "The penetration of renewable resources influences the demand-supply balance of the system and the mismatch that arises needs to be reduced to a possible extent by the approach of Demand Response (DR). In this work, the idea of DR is proposed by the load management technique. The concept of load shedding has a huge impact on the system's reliability. The proper and advanced scheduling of the load according to energy availability helps to eliminate the unnecessary load shedding. The system reliability is computed at different potentials of DR to evaluate the effectiveness of the proposed DR and thereby profit analysis of the system is carried out. The proposed method is tested on IEEE 69 bus system and the results obtained are promising.",
keywords = "AENS, Demand Response, ENS, Load Shedding, Reliability Analysis, SAIDI, SAIFI",
author = "Sivasankari, {G. S.} and S. Prasanthini and N. Vijithra and K. Narayanan and Gulshan Sharma and Tomonobu Senjyu",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2nd International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2022 ; Conference date: 21-01-2022 Through 22-01-2022",
year = "2022",
doi = "10.1109/PARC52418.2022.9726563",
language = "English",
series = "2022 2nd International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 2nd International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2022",
address = "United States",
}