International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

Frequency: 12
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 Volume 10, Issue 2 (February 2023), Pages: 12-22

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 Original Research Paper

 Optimal active load scheduling in a day-ahead energy market with uncertainty in demand

 Author(s): 

 Khalid Alqunun *

 Affiliation(s):

 Department of Electrical Engineering, College of Engineering, University of Hail, Hail, Saudi Arabia

  Full Text - PDF          XML

 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0001-7330-8231

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2023.02.003

 Abstract:

The existing power loads are continuously increasing and leading to various challenges related to economics and systems constraints. Any uncontrolled fluctuations of the demand over consecutive hours would dramatically complicate the correct management of the power generation. Therefore, this paper provides an effective solution for managing the uncertainty in loads and providing optimal scheduling of the power generation based on active load optimization in the day-ahead energy market. The proposed optimization model relies on operating active loads to encounter any unexpected change in the load pattern with taken into consideration the characteristics of these loads. The objective of the optimization model is to procure the lowest energy bill by reducing operational costs by taking into account the compensation cost in case of operating the active loads. The optimized problem is solved using mixed-integer linear programming through two technical stages. The first stage handles the normal operation of generation and passive demand, while the second stage treats all the uncertainty in stochastic scenarios. The active loads are operated under specific constraints such as the instantaneous min/max amount and the min/max duration over 24-h period of time. Case studies are used to demonstrate the effectiveness of implementing active loads.

 © 2022 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Energy market, Active loads, Optimal scheduling, Demand uncertainty, Power optimization

 Article History: Received 24 July 2022, Received in revised form 13 October 2022, Accepted 13 October 2022

 Acknowledgment 

No Acknowledgment.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Alqunun K (2023). Optimal active load scheduling in a day-ahead energy market with uncertainty in demand. International Journal of Advanced and Applied Sciences, 10(2): 12-22

 Permanent Link to this page

 Figures

 Fig. 1 Fig. 2 Fig. 3 Fig. 4 Fig. 5 Fig. 6

 Tables

 Table 1 Table 2 Table 3 Table 4 

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