Optimal allocation of UPFC based on healthy and stressed zones for critical power systems
A unified power flow controller (UPFC) is a versatile compensator providing multi-variable control for the critical power systems (CPS). In an attempt to reduce the search space for optimal allocation of UPFC thereby standardizing the deliberation over UPFC placement, zone-wise segregation of the ne...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-04-01
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| Series: | Engineering Science and Technology, an International Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215098623000587 |
| _version_ | 1827987843242262528 |
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| author | Deepro Sen Parimal Acharjee |
| author_facet | Deepro Sen Parimal Acharjee |
| author_sort | Deepro Sen |
| collection | DOAJ |
| description | A unified power flow controller (UPFC) is a versatile compensator providing multi-variable control for the critical power systems (CPS). In an attempt to reduce the search space for optimal allocation of UPFC thereby standardizing the deliberation over UPFC placement, zone-wise segregation of the network into weak and healthy zones is logically executed by an advanced network power stability indicator (NPSI). The UPFC performance is ascertained by a new line flow margin index (LFMI), power loss index and its economic benefit. The latter is derived by the cash outflow reduction (COR) and the internal rate of return (IRR), calculated by practical aspects like installation and maintenance cost, considering inflation and interest on amortization. For optimization, an improved version of the wind-driven optimization algorithm is proposed with finite-mass air parcels and intra-particle forces. An improved normalization technique is adopted for the multi-ranged, multi-objective problem. To simulate the CPS, the 57-bus test system with enhanced arbitrary load is considered. A significant reduction in power losses is observed when optimizing in reduced search space and the optimal location of G-UPFC is found to be in bus 13–15, which is also a part of the weaker zone. Several other results confirmatively approve the proposed approach of isolating the most appropriate zone for UPFC allocation based on the healthy and weak regions along with the proposed techno-economical evaluators. |
| first_indexed | 2024-04-09T23:54:26Z |
| format | Article |
| id | doaj.art-3b5760334ff8434fb420a148517d094f |
| institution | Directory Open Access Journal |
| issn | 2215-0986 |
| language | English |
| last_indexed | 2024-04-09T23:54:26Z |
| publishDate | 2023-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Engineering Science and Technology, an International Journal |
| spelling | doaj.art-3b5760334ff8434fb420a148517d094f2023-03-17T04:33:12ZengElsevierEngineering Science and Technology, an International Journal2215-09862023-04-0140101381Optimal allocation of UPFC based on healthy and stressed zones for critical power systemsDeepro Sen0Parimal Acharjee1Corresponding Author.; Department of Electrical Engineering, National Institute of Technology, Durgapur 713209, West Bengal, IndiaCorresponding Author.; Department of Electrical Engineering, National Institute of Technology, Durgapur 713209, West Bengal, IndiaA unified power flow controller (UPFC) is a versatile compensator providing multi-variable control for the critical power systems (CPS). In an attempt to reduce the search space for optimal allocation of UPFC thereby standardizing the deliberation over UPFC placement, zone-wise segregation of the network into weak and healthy zones is logically executed by an advanced network power stability indicator (NPSI). The UPFC performance is ascertained by a new line flow margin index (LFMI), power loss index and its economic benefit. The latter is derived by the cash outflow reduction (COR) and the internal rate of return (IRR), calculated by practical aspects like installation and maintenance cost, considering inflation and interest on amortization. For optimization, an improved version of the wind-driven optimization algorithm is proposed with finite-mass air parcels and intra-particle forces. An improved normalization technique is adopted for the multi-ranged, multi-objective problem. To simulate the CPS, the 57-bus test system with enhanced arbitrary load is considered. A significant reduction in power losses is observed when optimizing in reduced search space and the optimal location of G-UPFC is found to be in bus 13–15, which is also a part of the weaker zone. Several other results confirmatively approve the proposed approach of isolating the most appropriate zone for UPFC allocation based on the healthy and weak regions along with the proposed techno-economical evaluators.http://www.sciencedirect.com/science/article/pii/S2215098623000587Generalized unified power flow controllerRegion-wise performanceCritical power systemsWind-driven optimizationPower system controlPower transmission control |
| spellingShingle | Deepro Sen Parimal Acharjee Optimal allocation of UPFC based on healthy and stressed zones for critical power systems Engineering Science and Technology, an International Journal Generalized unified power flow controller Region-wise performance Critical power systems Wind-driven optimization Power system control Power transmission control |
| title | Optimal allocation of UPFC based on healthy and stressed zones for critical power systems |
| title_full | Optimal allocation of UPFC based on healthy and stressed zones for critical power systems |
| title_fullStr | Optimal allocation of UPFC based on healthy and stressed zones for critical power systems |
| title_full_unstemmed | Optimal allocation of UPFC based on healthy and stressed zones for critical power systems |
| title_short | Optimal allocation of UPFC based on healthy and stressed zones for critical power systems |
| title_sort | optimal allocation of upfc based on healthy and stressed zones for critical power systems |
| topic | Generalized unified power flow controller Region-wise performance Critical power systems Wind-driven optimization Power system control Power transmission control |
| url | http://www.sciencedirect.com/science/article/pii/S2215098623000587 |
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