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http://hdl.handle.net/10603/479068
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DC Field | Value | Language |
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dc.coverage.spatial | Locational marginal pricing estimation with demand response using hybrid optimization technique in deregulated power system | |
dc.date.accessioned | 2023-04-24T12:57:02Z | - |
dc.date.available | 2023-04-24T12:57:02Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/479068 | - |
dc.description.abstract | newline In Deregulated Power-market system, Security measure is taken as significant issue since this system is open-access network and heavy competition. The security consideration is significant factor as it depicts state knowledge of power-system when contingency condition occurs. In our study, this contingency-analysis is presented in deregulated electric-system. This analysis aids in the estimation of outage in generator, line-outage and keeping power-system in reliable and secure manner through Full newton s methodology. This algorithm exhibited better efficiency in larger power generation system. IEEE-14 bus-system is tested for power contingency-analysis though utilising PWS-power-world simulator. Hence, the contingency analysis for IEEE-39 bus system is depicted in the experimental outcomes. The respective Voltage state contingency analysis for IEEE 39, IEEE 30 bus system were also experimented in the section. The ranking of the PI values, standing out in various voltage state are represented. In such restructured power-markets, another issue dealing with nodal price in real time. For this reason, LMP-Locational Marginal-pricing method were implemented. The Simulation test-bed is developed with the aid of IEEE-14, IEEE-30, IEEE-39 bus-system and using DCOPF-Direct Current Optimal-power Flow algorithm. For this implementation analysis, two distinct LMP-approaches including Distributed Model and Concentrated Model are employed with unique constraints. The models composition were consistent with non-equivalent features of Direct current transmission-system. For the computation of LMP nodal-pricing, the various components or parameters are used such as MCC-Marginal Congestion-Control, MLC-Marginal Loss-Cost and MEC-Marginal Energy-Cost. The validation and efficacy of proposed-system utilising LMP-Technique is Performed through IEEE-Bus test-system. The main objective of power-system restructuring is to permit competitive advantages and to produce appropriate economic-signals to decrease the costs of power-generati | |
dc.format.extent | xvii,166p. | |
dc.language | English | |
dc.relation | p.166-166 | |
dc.rights | university | |
dc.title | Locational marginal pricing estimation with demand response using hybrid optimization technique in deregulated power system | |
dc.title.alternative | ||
dc.creator.researcher | Bhoopathi, M | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Engineering | |
dc.subject.keyword | Engineering Electrical and Electronic | |
dc.subject.keyword | Deregulated power system | |
dc.subject.keyword | Hybrid optimization | |
dc.subject.keyword | Security measure | |
dc.description.note | ||
dc.contributor.guide | Palanivel, P and Mohan, V | |
dc.publisher.place | Chennai | |
dc.publisher.university | Anna University | |
dc.publisher.institution | Faculty of Electrical Engineering | |
dc.date.registered | ||
dc.date.completed | 2022 | |
dc.date.awarded | 2022 | |
dc.format.dimensions | 21cm | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Faculty of Electrical Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 21.35 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 4.03 MB | Adobe PDF | View/Open | |
03_content.pdf | 16.25 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 84.23 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 235.01 kB | Adobe PDF | View/Open | |
06_chapter2.pdf | 288.7 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 295.51 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 219.9 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 250.7 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 379.55 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 275.9 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 68.64 kB | Adobe PDF | View/Open |
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