Optimal allocation of distributed generation units and DFACTS affects the efficiency of these devices; for this reason, in this article, the simultaneous placement of distributed generation and Distributed-STATic-COMpensator (DSTATCOM) are done in the distribution syste More
Optimal allocation of distributed generation units and DFACTS affects the efficiency of these devices; for this reason, in this article, the simultaneous placement of distributed generation and Distributed-STATic-COMpensator (DSTATCOM) are done in the distribution system. The load model is considered as a combination of various customers’ daily load patterns and sensitive to voltage-frequency. The micro turbine, wind turbine, photovoltaic and fuel cell are considered as DG units. The objective functions of the problem consist of the technical index (the voltage stability and the active and reactive power loss) and environmental index (the amount of pollutant DG unit’s gas emissions). The whale optimisation algorithm (WOA) is used to multi-objective optimize the location and capacity of devices. After applying the multi-objective WOA, the analytical hierarchy process is utilized to select one of the Pareto optimal solutions as the best location and size of devices. The proposed algorithm is implemented on the 69-bus distribution system and actual 101-bus distribution system in Khoy–Iran. The results indicate the significant effect of load models and various DG units on the efficiency of the distribution system in the presence of DSTATCOM. Moreover, the indices of the distribution system are improved considerably after applying the proposed method.
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In this article the performance of a DSTATCOM as an efficient parallel compensator, for obtaining the power indexes has been considered, Then, to improve the performance of DSTATVOM, each of its PI controller has been substituted by a nonlinear fuzzy-neural controller, More
In this article the performance of a DSTATCOM as an efficient parallel compensator, for obtaining the power indexes has been considered, Then, to improve the performance of DSTATVOM, each of its PI controller has been substituted by a nonlinear fuzzy-neural controller, based on trial error and derivation of system error. The cause of detorioration of power quality and the method of their compensation, in a distribution network, has been analysed, using Matlab. The simulation results show that, using the fuzzy-neural controller in place of linear controller in DSTATCOM controller, the ability of compensation in the active and reactive power voltage sag, swell and fliker, and reduction of low current and voltage harmonics has been improved cansiderably.
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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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این مقاله برروی استفاده از نشانگر ANFIS برای تعیین نزدیکی به نقطه فروافتادن ولتاژ در سیستمهای قدرتی که ادوات FACTS به خصوص SCATOM, SVC وجود دارند متمرکز است تا اثرات این وسایل را برروی پدیده فروافتادن در سیستمهای قدرت مورد مطالعه قرار دهد. همچنین استفاده از ANFI More
این مقاله برروی استفاده از نشانگر ANFIS برای تعیین نزدیکی به نقطه فروافتادن ولتاژ در سیستمهای قدرتی که ادوات FACTS به خصوص SCATOM, SVC وجود دارند متمرکز است تا اثرات این وسایل را برروی پدیده فروافتادن در سیستمهای قدرت مورد مطالعه قرار دهد. همچنین استفاده از ANFIS به عنوان نشانگری برای تعیین نزدیکی به نقطه مرز افتادن بطور موفقیت آمیزی استفاده شده است. سیستم آزمون 14 شینه IEEE برای نمایش اثر ادوات FACTS بر روی پدیده فروافتادن ولتاژ و بکارگیری ANFIS به عنوان نشانگری برای نزدیکی به نقطه فروافتادن مورد شبیه سازی قرار گرفته است.
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