TY  - CONF
A1  - Nayanatara, C.
A1  - Azhagumurugan, R.
A1  - Sharmila, P.
A1  - Kannan, R.
A1  - Shanmugapriya, P.
A1  - Kumar, M.S.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149141168&doi=10.1109%2fICFTSC57269.2022.10040013&partnerID=40&md5=c71a01b742755d8922f59446bd8fd006
EP  - 232
Y1  - 2022///
PB  - Institute of Electrical and Electronics Engineers Inc.
SN  - 9798350334548
N2  - This methodology aims in regulating the parameters of demand response management (DRM) to limit the usage of consumer energy. Therefore, this will increase the stability and minimizes the cost of generation. Synchronized optimization of IoT based distributed generation (DG) parameters with DRM programs ensure the trapping of the obtainable power and maintain the welfare maximization. Comprehensive cases are taken into consideration by optimizing the DG parameters. This control proposes a strawberry (SBY) optimization to effectively manage the resources. Tojustify the integration of dynamic generation and demand parameters, a standard IEEE 33bus system is considered and the results show that the proposed optimization technique improves the system performance. © 2022 IEEE.
N1  - cited By 0; Conference of 2022 International Conference on Future Trends in Smart Communities, ICFTSC 2022 ; Conference Date: 1 December 2022 Through 2 December 2022; Conference Code:186671
SP  - 229
ID  - scholars17239
TI  - Flexible IoT Based DSM-DG Strategy Adopted for Benefit Maximization in a Power System Network
KW  - Electric power factor; Internet of things
KW  -  Benefit maximization; Demand response; Demand response management; Optimisations; Power factors; Power system networks; Response management; Size; Strawberry; Welfare maximizations
KW  -  Distributed power generation
AV  - none
ER  -