Optimal Unit Commitment with Smart Metering Sensors on Short-term Ramp Rate for an Independent Power Grid

In this study, we considered the flexible dispatch of thermoelectric and hydroelectric units in a smart power grid that includes a considerable amount of wind and solar energy. The parameters required for the generators were analyzed using real-world information provided by power companies through s...

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Vydáno v:Sensors and materials Ročník 30; číslo 4(2); s. 791
Hlavní autoři: Lu, Shiue-Der, Wang, Meng-Hui
Médium: Journal Article
Jazyk:angličtina
Vydáno: Tokyo MYU Scientific Publishing Division 2018
Témata:
Algorithms
Computer simulation
Economic impact
Enumeration
Integer programming
Mixed integer
Smart sensors
Solar energy
Unit commitment
ISSN:0914-4935
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Shrnutí:In this study, we considered the flexible dispatch of thermoelectric and hydroelectric units in a smart power grid that includes a considerable amount of wind and solar energy. The parameters required for the generators were analyzed using real-world information provided by power companies through smart power metering sensors. We designed and tested an improved priority method and a filtering-constraint implicit enumeration algorithm to solve a large-scale unit commitment problem by means of nonlinear mixed integer programming. The algorithm, which was developed using MATLAB, avoided falling into local or infeasible solutions. A simulation proved that the priority method and algorithm successfully controlled ramp rates and optimized electrical power delivered through the grid, the system was secure, and the economic costs were minimal.
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ISSN:0914-4935
DOI:10.18494/SAM.2018.1775