Profit maximization in ADN through voltage control and DR management with networked community micro-grids
Large-scale installations of utility and customer's owned distributed technologies at low and medium voltage networks have drawn the distribution system operator's attention towards enhancing energy efficiency and economics of distribution grids. It can be achieved by deploying suitable en...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/172086 |
| _version_ | 1811679973148196864 |
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| author | Singh, Shailendra Pamshetti, Vijay Babu Thakur, Amit Kumar Singh, S.P. Gooi, Hoay Beng |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Singh, Shailendra Pamshetti, Vijay Babu Thakur, Amit Kumar Singh, S.P. Gooi, Hoay Beng |
| author_sort | Singh, Shailendra |
| collection | NTU |
| description | Large-scale installations of utility and customer's owned distributed technologies at low and medium voltage networks have drawn the distribution system operator's attention towards enhancing energy efficiency and economics of distribution grids. It can be achieved by deploying suitable energy-saving programs and unlocking the benefits of networked community microgrids (N-CMGs). In this context, the paper introduces an integrated methodology by enabling the volt/VAR optimization and demand response management scheme in the presence of N-CMGs that leverage distributed energy resources, flexible loads, and a smart energy management system. The stochastic objective function has been formulated regarding net profit value maximization in the presence of N-CMG assets. Further, efficient cascaded droop (Volt/VAR, Volt/Watt) control algorithms have been developed for real-time control of N-CMGs operations under unexpected transient conditions. The simulated outcomes authenticate that the proposed integrated method maximized the net profit values in terms of reduced purchased electricity cost and improved energy efficiency. Moreover, the developed real-time cascaded droop controller for N-CMGs successfully handles the unprecedented event's impact on system security during real-time operation. |
| first_indexed | 2024-10-01T03:17:39Z |
| format | Journal Article |
| id | ntu-10356/172086 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:17:39Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | ntu-10356/1720862023-11-22T00:22:39Z Profit maximization in ADN through voltage control and DR management with networked community micro-grids Singh, Shailendra Pamshetti, Vijay Babu Thakur, Amit Kumar Singh, S.P. Gooi, Hoay Beng School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Demand Response Distributed Energy Resources Large-scale installations of utility and customer's owned distributed technologies at low and medium voltage networks have drawn the distribution system operator's attention towards enhancing energy efficiency and economics of distribution grids. It can be achieved by deploying suitable energy-saving programs and unlocking the benefits of networked community microgrids (N-CMGs). In this context, the paper introduces an integrated methodology by enabling the volt/VAR optimization and demand response management scheme in the presence of N-CMGs that leverage distributed energy resources, flexible loads, and a smart energy management system. The stochastic objective function has been formulated regarding net profit value maximization in the presence of N-CMG assets. Further, efficient cascaded droop (Volt/VAR, Volt/Watt) control algorithms have been developed for real-time control of N-CMGs operations under unexpected transient conditions. The simulated outcomes authenticate that the proposed integrated method maximized the net profit values in terms of reduced purchased electricity cost and improved energy efficiency. Moreover, the developed real-time cascaded droop controller for N-CMGs successfully handles the unprecedented event's impact on system security during real-time operation. Agency for Science, Technology and Research (A*STAR) Ministry of Education (MOE) Nanyang Technological University National Research Foundation (NRF) This work was supported in part by the IIT (BHU), Varanasi, India, in part by the Agency for Science, Technology, the National Research Foundation, Singapore, under Grants NRF-EMA EMAEP004-EKJGC-0003 and EMA-ESG NRF2019NRF-CG002-002, in party by A*STAR through 2nd Singapore-Germany Academic-Industry 2+2 Collaboration under Grants A1990b0060, MOE ARF Tier 1 2019-T1-001-119, and NTU SUG 001500-00001, in part by the Office of Naval Research Global (ONRG), USA, under CODE 33D, in part by Naval Energy Resiliency and Sustainability in Broad Agency Announcement under Grant N00014-18-S-B001, and in part by ONRG under Grant N62909-19-1-2037. 2023-11-22T00:22:38Z 2023-11-22T00:22:38Z 2023 Journal Article Singh, S., Pamshetti, V. B., Thakur, A. K., Singh, S. & Gooi, H. B. (2023). Profit maximization in ADN through voltage control and DR management with networked community micro-grids. IEEE Transactions On Industry Applications, 59(3), 2706-2719. https://dx.doi.org/10.1109/TIA.2023.3243594 0093-9994 https://hdl.handle.net/10356/172086 10.1109/TIA.2023.3243594 2-s2.0-85149404657 3 59 2706 2719 en NRF-EMA EMAEP004-EKJGC-0003 EMA-ESG NRF2019NRF-CG002-002 A1990b0060 2019-T1-001-119 001500-00001 IEEE Transactions on Industry Applications © 2023 IEEE. All rights reserved. |
| spellingShingle | Engineering::Electrical and electronic engineering Demand Response Distributed Energy Resources Singh, Shailendra Pamshetti, Vijay Babu Thakur, Amit Kumar Singh, S.P. Gooi, Hoay Beng Profit maximization in ADN through voltage control and DR management with networked community micro-grids |
| title | Profit maximization in ADN through voltage control and DR management with networked community micro-grids |
| title_full | Profit maximization in ADN through voltage control and DR management with networked community micro-grids |
| title_fullStr | Profit maximization in ADN through voltage control and DR management with networked community micro-grids |
| title_full_unstemmed | Profit maximization in ADN through voltage control and DR management with networked community micro-grids |
| title_short | Profit maximization in ADN through voltage control and DR management with networked community micro-grids |
| title_sort | profit maximization in adn through voltage control and dr management with networked community micro grids |
| topic | Engineering::Electrical and electronic engineering Demand Response Distributed Energy Resources |
| url | https://hdl.handle.net/10356/172086 |
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