Enhancement of Solar PV Hosting Capacity in a Remote Industrial Microgrid: A Methodical Techno-Economic Approach
Shaila Arif,
Ata E Rabbi,
Shams Uddin Ahmed,
Molla Shahadat Hossain Lipu,
Taskin Jamal,
Tareq Aziz,
Mahidur R. Sarker,
Amna Riaz,
Talal Alharbi and
Muhammad Majid Hussain
Additional contact information
Shaila Arif: Department of Electrical and Electronic Engineering, Ahsanullah University of Science and Technology, Dhaka 1208, Bangladesh
Ata E Rabbi: Department of Electrical and Electronic Engineering, Ahsanullah University of Science and Technology, Dhaka 1208, Bangladesh
Shams Uddin Ahmed: Energrid Engineers Ltd., Dhaka 1212, Bangladesh
Molla Shahadat Hossain Lipu: Department of Electrical and Electronic Engineering, Green University of Bangladesh, Dhaka 1207, Bangladesh
Taskin Jamal: Department of Electrical and Electronic Engineering, Ahsanullah University of Science and Technology, Dhaka 1208, Bangladesh
Tareq Aziz: Department of Electrical and Electronic Engineering, Ahsanullah University of Science and Technology, Dhaka 1208, Bangladesh
Mahidur R. Sarker: Institute of IR 4.0, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia
Amna Riaz: Department of Electrical Engineering, Bahauddin Zakariya University, Multan 60000, Pakistan
Talal Alharbi: Department of Electrical Engineering, College of Engineering, Qassim University, P.O Box 6677, Buraydah 51452, Qassim, Saudi Arabia
Muhammad Majid Hussain: Department of Electrical and Electronic Engineering, University of South Wales, Pontypirdd CF37 1DL, UK
Sustainability, 2022, vol. 14, issue 14, 1-23
Abstract:
To meet the zero-carbon electricity generation target as part of the sustainable development goals (SDG7), remote industrial microgrids worldwide are considering the uptake of more and more renewable energy resources, especially solar PV systems. Estimating the grid PV hosting capacity plays an essential role in designing and planning such microgrids. PV hosting capacity assessment determines the maximum PV capacity suitable for the grid and the appropriate electrical location for PV placement. This research reveals that conventional static criteria to assess the PV hosting capacity fail to ensure the grid’s operational robustness. It hence demands a reduction in the theoretical hosting capacity estimation to ensure grid compatible post-fault voltage and frequency recovery. Energy storage technologies, particularly fast-responsive batteries, can potentially prevent such undesirable scenarios; nevertheless, careful integration is required to ensure an affordable cost of energy. This study proposes a novel methodical techno-economic approach for an off-grid remote industrial microgrid to enhance the PV hosting capacity by integrating battery energy storage considering grid disturbance and recovery scenarios. The method has been validated in an industrial microgrid with a 2.6 MW peak demand in a ready-made garment (RMG) factory having a distinctive demand pattern and unique constraints in remote Bangladesh. According to the analysis, integrating 2.5 MW of PV capacity and a 1.2 MVA battery bank to offset existing diesel and grid consumption would result in an energy cost of BDT 14.60 per kWh (USD 0.1719 per kWh). For high PV penetration scenarios, the application of this method offers higher system robustness, and the financial analysis indicates that the industries would not only benefit from positive environmental impact but also make an economic profit.
Keywords: PV hosting capacity; industrial microgrid; RMG; PV penetration; PV-battery system (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
https://www.mdpi.com/2071-1050/14/14/8921/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/14/8921/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:14:p:8921-:d:867686
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().