Performance Analysis of Different Grid Substations with Demand-Side-Management-Based Optimal Power Usage

Farhad Uddin; Dilip Kumar Tripura; Syed Munimus Salam; Muhammad Mahbubur Rashid

doi:10.69955/ajoeee.2023.v3i2.50

Authors

Farhad Uddin Southern University
Dilip Kumar Tripura Southern University
Syed Munimus Salam USTC, Chattagram, Bangladesh
Muhammad Mahbubur Rashid International Islamic University Malaysia https://orcid.org/0000-0002-3520-0657

DOI:

https://doi.org/10.69955/ajoeee.2023.v3i2.50

Keywords:

Power grid, Renewable energy, Simulation

Abstract

This study is centered on analyzing the performance of two power grid stations in the southern grid zone of Bangladesh. Additionally, it encompasses the effect of a demand-side management simulation of grid line operation. Firstly, this paper briefly discusses the grid circle's interconnected grid system and the serving districts' generation capacity. An analysis of schematic diagrams and an examination of the current substations and transmission cables in place has been conducted. The maximum load research has been addressed at several significant grid sub-stations, examining the capacity of a specific grid zone and determining the necessity for expanding the corresponding grid infrastructure. This study presents a comprehensive analysis of the DSM employed in the grid substation, as well as an examination of the various possibilities of renewable energy installations within it. Additionally, this study encompasses the investigation of power transmission and the accompanying structures employed for transmission, as well as the analysis of the estimation technique and any other interconnected domains.

Metrics

Metrics Loading ...

Downloads

Download data is not yet available.

Author Biographies

Farhad Uddin, Southern University

Farhad Uddin received a B.S. degree in Electrical & Electronic Engineering from the Southern University of Bangladesh in 2019. He has been working with the Southern University of Bangladesh as an MSc Student. His research interest includes Power Grid, Demand Side Management, and wireless-powered communication with energy harvesting and the Internet of things.
Dilip Kumar Tripura, Southern University

Tripura current research interests include an electricity market model for a future smart grid, renewable energy integration, frequency and voltage regulation, power system economics, demand-side management, energy storage management, auction-based demand response mechanism design, bi-level optimization, network optimization, and game theory.

References

J. Carpentier, “Optimal power flows,” Int. J. Electr. Power Energy Syst., vol. 1, no. 1, pp. 3–15, 1979; https://doi.org/10.1016/0142-0615(79)90026-7 DOI: https://doi.org/10.1016/0142-0615(79)90026-7

A. M. Al-Shaalan, “Reliability Evaluation of Power Systems,” in Reliability and Maintenance - An Overview of Cases, IntechOpen, 2020; https://doi.org/10.5772/intechopen.85571 DOI: https://doi.org/10.5772/intechopen.85571

IEA, “World Energy Outlook 2020,” 2020. [Online]. Available: https://www.iea.org/reports/world-energy-outlook-2020.

J. Martínez-Lao, F. G. Montoya, M. G. Montoya, and F. Manzano-Agugliaro, “Electric vehicles in Spain: An overview of charging systems,” Renew. Sustain. Energy Rev., vol. 77, pp. 970–983, Sep. 2017; https://doi.org/10.1016/j.rser.2016.11.239 DOI: https://doi.org/10.1016/j.rser.2016.11.239

S. Saini, “Conservation v. generation,” Refocus, vol. 5, no. 3, pp. 52–54, May 2004; https://doi.org/10.1016/S1471-0846(04)00146-5 DOI: https://doi.org/10.1016/S1471-0846(04)00146-5

S. M. Salam, N. Mohammad, S. Barua, and M. I. Uddin, “A Comprehensive Analysis of Power Grid with IEEE 14 Bus System Model for Deregulated Compatibility of an Isolated Grid,” 2021, vol. 2021, pp. 12–13.

K. B. H. J. B. E. Daalder, Operation of Restructured Power Systems the Kluwer International Series. 2001.

R. Lu, S. H. Hong, and X. Zhang, “A Dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach,” Appl. Energy, vol. 220, pp. 220–230, Jun. 2018; https://doi.org/10.1016/j.apenergy.2018.03.072 DOI: https://doi.org/10.1016/j.apenergy.2018.03.072

S. Nan, M. Zhou, and G. Li, “Optimal residential community demand response scheduling in smart grid,” Appl. Energy, vol. 210, pp. 1280–1289, Jan. 2018; https://doi.org/10.1016/j.apenergy.2017.06.066 DOI: https://doi.org/10.1016/j.apenergy.2017.06.066

C. Bergaentzlé, C. Clastres, and H. Khalfallah, “Demand-side management and European environmental and energy goals: An optimal complementary approach,” Energy Policy, vol. 67, pp. 858–869, Apr. 2014; https://doi.org/10.1016/j.enpol.2013.12.008 DOI: https://doi.org/10.1016/j.enpol.2013.12.008

M. Hildmann, A. Ulbig, and G. Andersson, “Empirical Analysis of the Merit-Order Effect and the Missing Money Problem in Power Markets With High RES Shares,” IEEE Trans. Power Syst., vol. 30, no. 3, pp. 1560–1570, May 2015; https://doi.org/10.1109/TPWRS.2015.2412376 DOI: https://doi.org/10.1109/TPWRS.2015.2412376

S. M. Salam, M. J. Uddin, and S. Hannan, “A new approach to develop a template based load model that can dynamically adopt different types of nonlinear loads,” in 2017 International Conference on Electrical, Computer and Communication Engineering (ECCE), Feb. 2017, pp. 708–712; https://doi.org/10.1109/ECACE.2017.7912996 DOI: https://doi.org/10.1109/ECACE.2017.7912996

S. M. Salam and N. Mohammad, “Load Flow Analysis of a Six Bus System for a Bulk Scale Replacement of Conventional Lighting Loads in a Distributed Network,” in 2020 IEEE Region 10 Symposium, TENSYMP 2020, 2020, no. June, pp. 831–834; https://doi.org/10.1109/TENSYMP50017.2020.9230818 DOI: https://doi.org/10.1109/TENSYMP50017.2020.9230818

X. Lu et al., “Optimal Bidding Strategy of Demand Response Aggregator Based on Customers Responsiveness Behaviors Modeling under Different Incentives,” IEEE Trans. Ind. Appl., vol. 9994, no. c, 2021; https://doi.org/10.1109/TIA.2021.3076139 DOI: https://doi.org/10.1109/TIA.2021.3076139

S. M. Salam and N. Mohammad, “Analyze the Impact of Demand Side Management on Grid Power for an Isolate Zone in a Sustainable IEEE 14 Bus System,” 2021 Int. Conf. Inf. Commun. Technol. Sustain. Dev. ICICT4SD 2021 - Proc., pp. 16–20, 2021; https://doi.org/10.1109/ICICT4SD50815.2021.9396975 DOI: https://doi.org/10.1109/ICICT4SD50815.2021.9396975

F. Wang et al., “Day-ahead optimal bidding and scheduling strategies for DER aggregator considering responsive uncertainty under real-time pricing,” Energy, vol. 213, p. 118765, Dec. 2020; https://doi.org/10.1016/j.energy.2020.118765 DOI: https://doi.org/10.1016/j.energy.2020.118765

S. D. Manshadi and M. Khodayar, “A hierarchical electricity market structure for the smart grid paradigm,” in 2016 IEEE Power and Energy Society General Meeting (PESGM), Jul. 2016, pp. 1–1; https://doi.org/10.1109/PESGM.2016.7741852 DOI: https://doi.org/10.1109/PESGM.2016.7741852

C. Heinrich, C. Ziras, A. L. A. Syrri, and H. W. Bindner, “EcoGrid 2.0: A large-scale field trial of a local flexibility market,” Appl. Energy, vol. 261, p. 114399, Mar. 2020; https://doi.org/10.1016/j.apenergy.2019.114399 DOI: https://doi.org/10.1016/j.apenergy.2019.114399