Optimization of Power System Scheduling Based on Shuffled Complex Evolution Metropolis Algorithm
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Based on the test on scale factor F of the banana function, we know that in the case of the same initial population, the results of every 30 times of running vary greatly from
In this work, the adaptive neuro-fuzzy based method is applied to the UPFC for controlling the power flow in multi-machine electric power transmission system.. The
The optimal power flow is an important problem of power systems in which certain control variables are adjusted to minimize an objective function such as the cost of active
In this paper an optimal energy and reactive power dispatch problem is solved by using the ant lion optimization (ALO) algorithm by considering the total cost minimization and
Power distribution and battery power on charging and discharging at the microgrid From the Figure 10, the surplus and shortage energy can be found by having a total in between the
Problem formulation The sizing of DGs and active power demand from the charging of the EVs are decision variables of our optimization problem with a nonlinear objective function and
Further, it is observed that there is a significant reduction in the real power generation cost because of UPFC.Table 8represents the total active power losses for differ- ent conditions
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