تعریف بردار اولویت شین جهت حل پخش بار شبکه های شعاعی با استفاده از نرم افزار MATLAB

محورهای موضوعی : سامانه های پردازشی و ارتباطی چند رسانه ای هوشمند

پیمان نظریان ¹ (استادیار دانشگاه آزاد اسلامی واحد زنجان، دانشکده مهندسی برق و کامپیوتر، زنجان، ایران)

تاریخ دریافت : 1400/06/05 تاریخ پذیرش : 1400/07/01 تاریخ انتشار : 1400/10/01

کلید واژه: سیستم های توزیع شعاعی, اسکادا, آنالیز پخش بار برخط, نرم افزار MATLAB,

چکیده مقاله :

در این مقاله، با در نظر گرفتن روابط ساده مداری و با استفاده از یک الگوی پایه، یک شبکه شعاعی به شاخه های خود تقسیم می شود و با استفاده از توان معادل دیده شده در شین ها و اعمال یک بردار اولویت شین غیر یکتا، روش SDLF پیشنهاد می شود. نتایج اولین تکرار از روش SDLF در مقایسه با سایر روش ها و با یک تلرانس قابل قبول، به قدری دقیق است که می تواند در عملیات سیستم اسکادا، جهت پخش بار برخط، مورد استفاده قرار گیرد. اثربخشی روش پیشنهادی، با استفاده از نرم افزار MATLAB بر روی شبکه آزمون 33 شینه IEEE نشان داده می شود. همچنین این مقاله برخلاف سایر مقالات مرتبط، شامل کدهای خلاصه و ساده MATLAB است به طوری که از تعریف ماتریس های اضافی و پیچیده در روش پیشنهادی، اجتناب می شود. استفاده از یک تکرار به جای چند تکرار و همچنین کاهش حجم محاسبات باعث می شود که زمان انجام مطالعات پخش بار کاهش یابد.

چکیده انگلیسی:

Introduction:  Load distribution analysis is a fundamental and basic study for all power networks, including distribution networks, which are used in steady-state conditions. Power system planning and operation, power network reorganization, and many optimization studies require a large number of load distribution calculations in normal and emergency situations. Due to the nonlinearity of the system of load distribution equations, it is necessary to use iterative solution methods to solve it. In addition, due to a large number of power grid buses, matrix algebra is used. Some of these applications require fast iterative solutions of load distribution and therefore it is very important that load distribution analysis is performed efficiently. A number of load distribution algorithms are specifically designed for distribution systems. One of these methods considers bus voltages as state variables and works based on an iterative algorithm and uses special methods to increase convergence.Method: The proposed algorithm of this paper called SDLF in this article does not need special matrices and complex programming. In this method, load distribution can be achieved easily with only a simple vector that shows the priority of buses, which we call BPV, and by using the forward-backward sweeper algorithm. It is worth mentioning that the BPV vector itself is extracted from the network topology. This work can be done both visually from the electrical diagram of the network and from the data matrix of network D by MATLAB software. Finding: In terms of the convergence of the solution, increasing the repetition has led to an increase in accuracy, and as a result, the 10th repetition has been chosen as a relatively accurate result to confirm the validity of the method, considering the required engineering precision. The obtained results show that even in the first iteration, an acceptable accuracy for the voltage range has been obtained. In steady state analysis of power networks, the voltage amplitude is more important than the voltage phase. The noteworthy point is that in calculating the voltage phase, it is not necessary to update its value in each step, and it is enough to calculate the voltage phase after obtaining the voltage ranges. Conclusion: In this article, a new method called SDLF is introduced to study the load distribution of distribution networks. The results of the implementation of the proposed method, with an acceptable engineering error, can be used in the common applications of power networks in the first iteration, and based on this, it can be used as an online load distribution in SCADA systems. The effectiveness of the method was checked on the test network of 33 IEEE buses in the text of the article and its validity was confirmed. The introduction of the BPV bus priority vector made it possible to avoid using complex matrices and additional calculations and to reduce the time of load distribution calculations.

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