RT - Journal Article
T1 - Calculating the Locational Marginal Price and Solving of Optimal Power Flow Problem based on Congestion Management using WPSO-GSF Algorithm
JF - jnsee
YR - 2020
JO - jnsee
VO - 7
IS - 1
UR - http://jnsee.sut.ac.ir/jnsee/article-1-339-en.html
SP - 81
EP - 107
K1 - Locational marginal price
K1 - Optimal power flow
K1 - Congestion management
K1 - PSO algorithm
K1 - Generating scaling factor
AB - Away to decrease the costs of generation and improve the performance of the grid generator, solving the problem of OPF based on line congestion management. As the power flow equation is nonlinear, this paper has performed the PSO algorithm to solve the OPF problem. By considering two technique this paper has performed the PSO algorithm for improving the performance. The first technique is to use a chaos generator to prevent PSO particles from sticking to local minimum points and the second is to consider the GSF in the WPSO algorithm structure so that the power passing through network lines can be simultaneously calculated and real power flow. Finally, the result of WPSO-GSF algorithm which includes the bus voltage values, line losses, injection power to b buses, power passing through lines, total generation cost, setting electricity prices in two ways, UMP or LMP, depending on filling line capacity and calculating generatorschr('39') profits has carried out .and also, to check the accuracy of the algorithm, the proposed method has been tested on IEEE 14-BUS, 30-BUS, 57-BUS standard networks, the results which indicate an increase in the speed and accuracy of the WPSO-GSF algorithm compared to other methods in improving the OPF problem.
LA eng
UL http://jnsee.sut.ac.ir/jnsee/article-1-339-en.html
M3
ER -