scholarly journals Unit Commitment-Security Constraints Using the Priority List-Genetic Algorithm Method in the IEEE 6 Bus and IEEE 14 BUS Case Studies

2021 ◽  
Vol 3 (1) ◽  
pp. 23
Author(s):  
Chico Hermanu Brillianto Apribowo ◽  
Muhammad Fakhri Erriyanto ◽  
Sutrisno Sutrisno ◽  
Agus Ramelan
Keyword(s):  
Unit Commitment ◽  
Electrical Power ◽  
Load Flow ◽  
Priority List ◽  
Total Cost ◽  
Total Percentage ◽  
Genetic Algorithm Method ◽  
Load Flow Calculation ◽  
Number Of Iterations ◽  
Flow Constraints

<p><strong>Unit commitment (UC) is the scheduling of on-off operation of a power plant unit to meet the demand for electrical power over a certain period of time in order to obtain an economical total cost of generation The PL method is used for scheduling and the AG is optimized using DOE for ED problems. The results obtained from the research that there are still improvements in the calculation of ED problems using load flow constraints and can be corrected. The results of the comparison of the total percentage cost of IEEE 6 buses used in ED problems without considering the load flow constraints with those considering this problem amounted to 26.30%. The result of the comparison of the total percentage cost of IEEE 14 buses used in ED problems without considering load flow constraints with those considering this problem is 11.55%. The load flow calculation using Newton-Rapshon uses a smaller number of iterations and a shorter time than Gauss-Seidel.</strong></p><p><strong><br /></strong></p>

Visualization of Results of Load Flow Calculation and Dynamic Simulation

1995 ◽  
Vol 115 (5) ◽  
pp. 479-486
Author(s):  
Naoki Kobayashi ◽  
Takeshi Yamada ◽  
Hiroshi Okamoto ◽  
Yasuyuki Tada ◽  
Atsushi Kurita ◽  
...  
Keyword(s):  
Dynamic Simulation ◽  
Load Flow ◽  
Flow Calculation ◽  
Load Flow Calculation

scholarly journals Fat Tail Model for Simulating Test Systems in Multiperiod Unit Commitment

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
J. A. Marmolejo ◽  
R. Rodriguez
Keyword(s):  
Power Systems ◽  
Unit Commitment ◽  
Electrical Power ◽  
Random Variables ◽  
Production Costs ◽  
Unit Commitment Problem ◽  
Test Systems ◽  
Fat Tail ◽  
Commitment Problem ◽  
Stable Random Variables

This paper describes the use of Chambers-Mallows-Stuck method for simulating stable random variables in the generation of test systems for economic analysis in power systems. A study that focused on generating test electrical systems through fat tail model for unit commitment problem in electrical power systems is presented. Usually, the instances of test systems in Unit Commitment are generated using normal distribution, but in this work, simulations data are based on a new method. For simulating, we used three original systems to obtain the demand behavior and thermal production costs. The estimation of stable parameters for the simulation of stable random variables was based on three generally accepted methods: (a) regression, (b) quantiles, and (c) maximum likelihood, choosing one that has the best fit of the tails of the distribution. Numerical results illustrate the applicability of the proposed method by solving several unit commitment problems.

Sign in / Sign up

Export Citation Format

Share Document