Multi-objective optimal power flow considering the multi-terminal direct current

Abstract

Introduction. In recent years, transmission systems comprise more direct current structures; their effects on alternating current power system may become significant and important. Also, multi-terminal direct current is favorable to the integration of large wind and solar power plants with a very beneficial ecological effect. The novelty of the proposed work consists in the effects of the aforementioned modern devices on transient stability, thus turn out to be an interesting research issue. In our view, they constitute a new challenge and an additional complexity for studying the dynamic behavior of modern electrical systems. Purpose. We sought a resolution to the problem of the transient stability constrained optimal power flow in the alternating current / direct current meshed networks. Convergence to security optimal power flow has been globally achieved. Methods. The solution of the problem was carried out in MATLAB environment, by an iterative combinatorial approach between optimized power flow computation and dynamic simulation. Results. A new transient stability constrained optimal power flow approach considering multi-terminal direct current systems can improve the transient stability after a contingency occurrence and operate the system economically within the system physical bounds. Practical value. The effectiveness and robustness of the proposed method is tested on the modified IEEE 14-bus test system with multi-objective optimization problem that reflect active power generation cost minimization and stability of the networks. It should be mentioned that active power losses are small in meshed networks relative to the standard network. The meshed networks led to a gain up to 46,214 % from the base case.

The Evaluation of Electric Power by Separate Analysis of Fourier Transform Components

“…The problem of accurate active and reactive power evaluation remains pretty actual for many practical issues existing in electrical engineering. Mentioned problem has a significant importance, for example, in technical applications which regard the control and monitoring of the electrical energy [1][2][3][4], the analysis of technical performance of asynchronous electric drivers with semiconductor converters [5] and also, taking into account that the deterioration of electrical insulation is accompanied by the increasing of the dependent on dissipated in dielectric material active power dissipation factor [6], for problems which are inextricably linked with the assessment of quality of the electrical insulation [7,8].…”

Multi-objective optimal power flow based gray wolf optimization method

“…Problem formulation. The OPF and EI are nonlinear optimization problems, represented by a predefined objective function f, subject to a set of equality and inequality constraints [27,32]. Generally, these problems can be expressed as follows:…”

“… M A is a random value in the interval [-2a, 2a]. In GWO, search agents update their positions based on the location of ,  and  and attack towards the prey [32,33]. However, GWO algorithm is prone to stagnation in local solutions with these operators.…”