Recently the use of AC transmission system (FACTS) devices and distributed generation resources as technology in power and distribution systems is increasing. This equipment affects various parameters such as voltage profile, line losses, short circuit current, stabilit More
Recently the use of AC transmission system (FACTS) devices and distributed generation resources as technology in power and distribution systems is increasing. This equipment affects various parameters such as voltage profile, line losses, short circuit current, stability, and reliability of the system, and therefore determining the optimal installation location, their number and size are one of the important issues that are considered because the installation of these devices and Resources in non-optimal locations increase system losses and negatively affect voltage profiles and other system parameters. In this paper, the simultaneous optimization of the number, location, and size of distributed generation resources and static synchronous compensation is used and in order to solve the optimization problem, a genetic algorithm (GA) is used. For this purpose, a multi-objective function including operating costs and generation of distributed generation resources and static synchronous compensation and system load capacity are presented and the simulation results were analyzed for two 33 and 69 IEEE standard networks. The results show that with increasing system load, the cost increases because the number of equipment related to distributed generation sources and static synchronous compensator increases. Also, the simultaneous optimization and placement of this equipment reduces costs and increases the load capacity of the distribution system.
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In this paper, in order to reduce disturbance attenuation in the single-machine infinite-bus system a STATCOM by an improved robust back-stepping algorithm based on a particle swarm optimization approach is proposed. In the proposed approach, the adaptive back-stepping More
In this paper, in order to reduce disturbance attenuation in the single-machine infinite-bus system a STATCOM by an improved robust back-stepping algorithm based on a particle swarm optimization approach is proposed. In the proposed approach, the adaptive back-stepping method is used to construct the storage function to reduce internal and external disturbances. Also, a nonlinear controller with interference rejection feature and update of the nonlinear parameter substitution law are applied simultaneously. In this research, in order to maintain non-linearities feature, the real-time estimation of uncertain parameters, ensure robustness and insensitivity to large disturbances of the STATCOM system, the adaptive back-stepping sliding mode control method is applied in terms of error compensation design. It should be noted that the proposed controller has a large number of design parameters which affect its efficiency and performance. So, here the particle swarm optimization approach is used to determine the design parameters based on the cost function of the integral of the magnitude of the error. Finally, the simulation results are performed by MATLAB software, confirmed the better performance of the proposed optimal back-stepping sliding mode control method compared to traditional adaptive back-stepping in terms of the speed of adaptation and the response of the STATCOM system.
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Unbalanced loads in the distribution grid can cause unbalanced supply voltage and reduce the power quality of the system. Besides, reactive power loads might create the voltage disturbances such as voltage sag/swell. In this paper, a four-wire distribution static synchr More
Unbalanced loads in the distribution grid can cause unbalanced supply voltage and reduce the power quality of the system. Besides, reactive power loads might create the voltage disturbances such as voltage sag/swell. In this paper, a four-wire distribution static synchronous compensator (DSTATCOM) integrated with Yy-transformer to compensate both the unbalanced voltage and reactive power is proposed. A DSTATCOM based on modular multilevel converter (MMC) connects to the group of taps in the primary windings of Yy-transformer to constitute an interconnected structure. The compensating currents flow through the taps. This structure is similar to an autotransformer. Compared to the conventional MMC-DSTATCOM, with proposed structure, The DSTATCOM connection point voltage decreases and one can trade-off between the capability of the power device's rated voltage and current. Therefore, it can be decreased the primary investment costs, the voltage stresses and the size of compensation system. Furthermore, a control algorithm based on measuring the point of common coupling (PCC) instantaneous voltage and current is presented that it is able to compensate the zero and negative sequence voltage due to unbalanced laod and grid. To compensate these components, voltage and current loops are used to track accurately the reference voltages of MMC-DSTATCOM by means of unbalanced algorithm. Simulation results verify the proposed method.
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With the rapid technology advancement in control processes, electric utilities are experiencing more demanding requirements on the power quality from the large industrial power consumers. For achieved this purpose use of FACTS devices. One of kind compensator is D-Statc More
With the rapid technology advancement in control processes, electric utilities are experiencing more demanding requirements on the power quality from the large industrial power consumers. For achieved this purpose use of FACTS devices. One of kind compensator is D-Statcom, using in distribution system for conquest of power quality problem. This paper presents system modeling and control design techniques of distribution static synchronous compensator. For reach an optimal design, using a hybride state-feedback and d-q control systems. Using direct sampling on network parameter, than conventional control system, as well as fast dynamic responses are achieved. The derived simulations are tried to verify the result of this paper.
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