Proceedings of the International Conference on Artificial Intelligence Techniques for Electrical Engineering Systems (AITEES 2022)

<Previous Article In Volume
Next Article In Volume>

Optimal Energy Procurement Scheme of a DC Microgrid with Demand Response Participation

Authors
Abhishek Singh1, Avirup Maulik1, *
1Indian Institute of Technology (BHU), Varanasi, India
*Corresponding author. Email: avirupmaulik@gmail.com
Corresponding Author
Avirup Maulik
Available Online 5 December 2022.
DOI
10.2991/978-94-6463-074-9_7How to use a DOI?
Keywords
DC Microgrid; Energy Management; Demand Response; Uncertainty modeling
Abstract

This paper deals with an optimal energy procurement strategy in a DC microgrid. The DC microgrid comprises renewable sources, storage systems, and demand response participators, who are players in the electricity market. The DC microgrid operator considers bids from all the market players and pursues an optimal energy procurement scheme for the DCMG. The objective is to maximize the financial benefit. Uncertainties of electrical load demand, renewable generation, and energy price of grid is incorporated through Hong’s point estimate. A nested optimization problem is solved to realize the desired objective. Discrete dynamic programming is used to solve the problem of storage scheduling and optimal demand response participation. The procurement from renewable sources is determined using the particle swarm optimization method. Simulation studies on a six-bus DC microgrid test system reveal that the daily expected profit can be increased by ~31.62% using the proposed energy management scheme.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the International Conference on Artificial Intelligence Techniques for Electrical Engineering Systems (AITEES 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
5 December 2022
ISBN
978-94-6463-074-9
ISSN
2589-4919
DOI
10.2991/978-94-6463-074-9_7How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Abhishek Singh
AU  - Avirup Maulik
PY  - 2022
DA  - 2022/12/05
TI  - Optimal Energy Procurement Scheme of a DC Microgrid with Demand Response Participation
BT  - Proceedings of the International Conference on Artificial Intelligence Techniques for Electrical Engineering Systems (AITEES 2022)
PB  - Atlantis Press
SP  - 61
EP  - 71
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-074-9_7
DO  - 10.2991/978-94-6463-074-9_7
ID  - Singh2022
ER  -