Ray, Pavat Kumar and Nandkeolyar, Shobhit and Shashank, Ganji and Satiawan, I Nyoman Wahyu (2022) Development of Dynamic Pricing Algorithm in a Smart Grid. In: the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Mechanical and Electrical) (MIMSE-M-E-I-2022), 14-15 September 2022, Lombok, Indonesia.
Full text not available from this repository.Abstract
Conventional grid has limited power generation resources. Therefore, we need an architecture which fulfil the power demand of the users and can restricts the excess use of power beyond the limit. Since the past few years, smart grid has become a better architecture as it can manage the crucial part of the IoT (Internet of Things). Due to its compatible results along with great performance and the new outlook in the computer intelligence for managing the grid to self-monitoring power consumption, the smart grids have started to replace the conventional grids. Even if we are using the smart grid it may lead to the operator incurring a loss; while satisfying the user’s power demand. Hence, we are designing a system which will trade-off the users’ satisfaction and profit earned by the Smart Grid Opera tor (SGO). Second goal of the system is to achieve a dynamic pricing scheme for the power consumption, along with maximum power generation. The simu lation is carried out by using practical power usage data from ISO (Independent System Operator) New England in Python 3 environment to validate the pro posed algorithm’s effectiveness towards maximizing the profit of the SGO without compromising user’s satisfaction.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Keywords (Kata Kunci): | Smart Grid · Optimal Dynamic Pricing · Demand Response Management · User Utility · Neural Network |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Fakultas Teknik |
| Depositing User: | I Nyoman Wahyu Satiawan, S.T.M.Sc |
| Date Deposited: | 19 May 2023 06:01 |
| Last Modified: | 19 May 2023 06:01 |
| URI: | http://eprints.unram.ac.id/id/eprint/38101 |
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