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Papers by Saber Armaghani

Journal of Modeling in Engineering, Jan 20, 2021

در این مقاله، یک مدل هوشمند برای انجام ارزیابی بهنگام آسیب‌پذیری خطوط با رویکرد تحلیل حالت خاموشی... more در این مقاله، یک مدل هوشمند برای انجام ارزیابی بهنگام آسیب‌پذیری خطوط با رویکرد تحلیل حالت خاموشی سراسری شبکه پیشنهاد می‌شود. در این راستا، مسئله به صورت نگاشت بین شرایط بهره‌برداری نرمال و آسیب‌پذیری خطوط تعریف می‌شود و از الگویتم شبکه عصبی به دلیل توانایی آن در ایجاد نگاشت غیرخطی و قابلیت پیش‌بینی مناسب، در مدل پیشنهادی استفاده می‌شود. شبکه عصبی در مدل پایش هوشمند، شرایط بهره‌برداری را به عنوان بردار ورودی دریافت می‌کند و معیار آسیب‌پذیری هر خط را به عنوان بردار خروجی ارائه می کند و با ایجاد نگاشتی غیر خطی، ارزیابی را در مورد آسیب‌پذیری خطوط انجام می‌دهد. نتایج عددی حاصل از بررسی عملکرد مدل مبتنی بر هوش مصنوعی برروی شبکه نمونه 39 و 118 شینه و مقایسه آن با مدل تحلیلی از نقطه نظر دقت و سرعت، حاکی از کارایی مدل پیشنهادی در ارزیابی بهنگام آسیب پذیری خطوط است. استفاده از مدل پیشنهادی باعث افزایش درک کلی بهره‌بردار از تاثیرگذاری هر خط در انتشار رخداد خرابی آبشاری و در نهایت باعث افزایش امنیت و قابلیت اطمینان در بهره‌برداری بهنگام شبکه انتقال خواهد شد.

International Journal of Electrical Power & Energy Systems, 2020

This paper presents a practical/analytical multi-stage transmission expansion planning approach t... more This paper presents a practical/analytical multi-stage transmission expansion planning approach to mitigate the impacts of cascading failure. It combines forward pseudo-dynamic planning strategy with the proposed analytical method to identify the most critical transmission line according to its impacts on initiating and propagation of the cascading failure throughout power system. The proposed methodology decomposes the planning time horizon into several years or stages. In each stage, an identification method, based on multi decision-making vulnerable index, is applied to efficiently assign the location of the new transmission line for strengthening the transmission network. Using an adaptive threshold, another decision is made about repetition of the proposed identification method in each stage with new topology or going to the next stage. The IEEE 9-, IEEE 39-, and IEEE 118-bus test systems are investigated for the efficacy of the proposed method. The simulation results demonstrate that the proposed scheme is able to find the efficient solution in the form of one or more line(s) at each round of calculation; the solution that leads to effective mitigation against cascading failure.

Journal of Modeling in Engineering, Sep 15, 2014

ARTICLE INFO In this paper, for solving the Multi-Objective Multi-area Environmental Economic Loa... more ARTICLE INFO In this paper, for solving the Multi-Objective Multi-area Environmental Economic Load Dispatch, Cuckoo Optimization Algorithm is proposed. In resent year, the economic load dispatch is considered as a multi-area power systems problem, but, in none of these studies the environmental problem is not considered. Accordingly in this paper the model of pollution constraint is imposed and the terms of issue of the new model is considered. On the other hand, the cuckoo optimization algorithm is an evolutionary search algorithm which is proposed in recent years by researchers in various fields of engineering. However, the advantage of this algorithm for solving power systems has not been investigated. So, the ability of Cuckoo Optimization Algorithm for solving environmental economic load dispatch with respect to the contamination (the proposed model) in multi-area power systems is investigated. The proposed technique is applied on different issues in many single area systems (6, 10 and 40 generation unit) and the distribution of the economic burden of pollution provisions regarding the function of the immune system in single area (6 units, 30 buses). Finally, the proposed algorithm in solving economic load dispatch in the region of 4 units and two additional constraints is investigated. The performance of this algorithm is compared with other techniques which demonstrate the superiority of this method than the others.

Applied Soft Computing, 2015

Security constrained optimal power flow (SCOPF) is an important operation function for dispatchin... more Security constrained optimal power flow (SCOPF) is an important operation function for dispatching centers of current power systems. It optimizes operating conditions of the system, while saves its security. However, SCOPF in its present form focuses on a single time interval, which is known as static SCOPF. A multi-period SCOPF model, referred to as dynamic SCOPF (DSCOPF) in this paper, is presented. It extends static SCOPF to multi-period frameworks considering the inter-temporal constraints. The proposed DSCOPF is a more practical operation function and can optimize operating conditions of the system more realistically compared to traditional SCOPF. Moreover, to solve this DSCOPF model, considering its nonlinear and non-convex behavior, a new stochastic search method is presented, which is an enhanced version of artificial bee colony (ABC) algorithm. The proposed enhanced ABC (EABC) has high exploration capability and can discover different areas of the solution space. Also, it is a robust algorithm and has low sensitivity with respect to the initial population. Effectiveness of the proposed EABC is extensively illustrated on various test cases.

International Journal of Electrical Power & Energy Systems, 2020

In this paper, a new analytical method is presented for calculation of the "N-1″ transmission lin... more In this paper, a new analytical method is presented for calculation of the "N-1″ transmission line outage postcontingency states of the power system, without any needs to iterate the calculation process, which makes the method fast enough for online vulnerability assessment under N-1 Transmission line outages for large-scale transmission networks with wind power resources. The proposed method is based on the proposed pretending line outage principle and a pre-contingency Taylor Series Approximation. Moreover, an adaptive technique is proposed for selection of the number of critical lines. First, various test systems including IEEE 9-, 39-, 57-, 118-, 300-, and 2746-bus are used for investigation of the performance of the proposed method in terms of accuracy and computational time. Moreover, the ability of the proposed method in solving the Online Vulnerability Assessment under the uncertainty of the operating condition, caused by wind power resources and load demand forecast error, is investigated in IEEE 118-bus and IEEE 300-bus test systems. Finally, the simulation results are presented to verify that the proposed approach has sufficient speed and accuracy to be used in online operational vulnerability assessments.

Journal of Modeling in Engineering, Jan 20, 2021

در این مقاله، یک مدل هوشمند برای انجام ارزیابی بهنگام آسیب‌پذیری خطوط با رویکرد تحلیل حالت خاموشی... more در این مقاله، یک مدل هوشمند برای انجام ارزیابی بهنگام آسیب‌پذیری خطوط با رویکرد تحلیل حالت خاموشی سراسری شبکه پیشنهاد می‌شود. در این راستا، مسئله به صورت نگاشت بین شرایط بهره‌برداری نرمال و آسیب‌پذیری خطوط تعریف می‌شود و از الگویتم شبکه عصبی به دلیل توانایی آن در ایجاد نگاشت غیرخطی و قابلیت پیش‌بینی مناسب، در مدل پیشنهادی استفاده می‌شود. شبکه عصبی در مدل پایش هوشمند، شرایط بهره‌برداری را به عنوان بردار ورودی دریافت می‌کند و معیار آسیب‌پذیری هر خط را به عنوان بردار خروجی ارائه می کند و با ایجاد نگاشتی غیر خطی، ارزیابی را در مورد آسیب‌پذیری خطوط انجام می‌دهد. نتایج عددی حاصل از بررسی عملکرد مدل مبتنی بر هوش مصنوعی برروی شبکه نمونه 39 و 118 شینه و مقایسه آن با مدل تحلیلی از نقطه نظر دقت و سرعت، حاکی از کارایی مدل پیشنهادی در ارزیابی بهنگام آسیب پذیری خطوط است. استفاده از مدل پیشنهادی باعث افزایش درک کلی بهره‌بردار از تاثیرگذاری هر خط در انتشار رخداد خرابی آبشاری و در نهایت باعث افزایش امنیت و قابلیت اطمینان در بهره‌برداری بهنگام شبکه انتقال خواهد شد.

International Journal of Electrical Power & Energy Systems, 2020

This paper presents a practical/analytical multi-stage transmission expansion planning approach t... more This paper presents a practical/analytical multi-stage transmission expansion planning approach to mitigate the impacts of cascading failure. It combines forward pseudo-dynamic planning strategy with the proposed analytical method to identify the most critical transmission line according to its impacts on initiating and propagation of the cascading failure throughout power system. The proposed methodology decomposes the planning time horizon into several years or stages. In each stage, an identification method, based on multi decision-making vulnerable index, is applied to efficiently assign the location of the new transmission line for strengthening the transmission network. Using an adaptive threshold, another decision is made about repetition of the proposed identification method in each stage with new topology or going to the next stage. The IEEE 9-, IEEE 39-, and IEEE 118-bus test systems are investigated for the efficacy of the proposed method. The simulation results demonstrate that the proposed scheme is able to find the efficient solution in the form of one or more line(s) at each round of calculation; the solution that leads to effective mitigation against cascading failure.

Journal of Modeling in Engineering, Sep 15, 2014

ARTICLE INFO In this paper, for solving the Multi-Objective Multi-area Environmental Economic Loa... more ARTICLE INFO In this paper, for solving the Multi-Objective Multi-area Environmental Economic Load Dispatch, Cuckoo Optimization Algorithm is proposed. In resent year, the economic load dispatch is considered as a multi-area power systems problem, but, in none of these studies the environmental problem is not considered. Accordingly in this paper the model of pollution constraint is imposed and the terms of issue of the new model is considered. On the other hand, the cuckoo optimization algorithm is an evolutionary search algorithm which is proposed in recent years by researchers in various fields of engineering. However, the advantage of this algorithm for solving power systems has not been investigated. So, the ability of Cuckoo Optimization Algorithm for solving environmental economic load dispatch with respect to the contamination (the proposed model) in multi-area power systems is investigated. The proposed technique is applied on different issues in many single area systems (6, 10 and 40 generation unit) and the distribution of the economic burden of pollution provisions regarding the function of the immune system in single area (6 units, 30 buses). Finally, the proposed algorithm in solving economic load dispatch in the region of 4 units and two additional constraints is investigated. The performance of this algorithm is compared with other techniques which demonstrate the superiority of this method than the others.

Applied Soft Computing, 2015

Security constrained optimal power flow (SCOPF) is an important operation function for dispatchin... more Security constrained optimal power flow (SCOPF) is an important operation function for dispatching centers of current power systems. It optimizes operating conditions of the system, while saves its security. However, SCOPF in its present form focuses on a single time interval, which is known as static SCOPF. A multi-period SCOPF model, referred to as dynamic SCOPF (DSCOPF) in this paper, is presented. It extends static SCOPF to multi-period frameworks considering the inter-temporal constraints. The proposed DSCOPF is a more practical operation function and can optimize operating conditions of the system more realistically compared to traditional SCOPF. Moreover, to solve this DSCOPF model, considering its nonlinear and non-convex behavior, a new stochastic search method is presented, which is an enhanced version of artificial bee colony (ABC) algorithm. The proposed enhanced ABC (EABC) has high exploration capability and can discover different areas of the solution space. Also, it is a robust algorithm and has low sensitivity with respect to the initial population. Effectiveness of the proposed EABC is extensively illustrated on various test cases.

International Journal of Electrical Power & Energy Systems, 2020

In this paper, a new analytical method is presented for calculation of the "N-1″ transmission lin... more In this paper, a new analytical method is presented for calculation of the "N-1″ transmission line outage postcontingency states of the power system, without any needs to iterate the calculation process, which makes the method fast enough for online vulnerability assessment under N-1 Transmission line outages for large-scale transmission networks with wind power resources. The proposed method is based on the proposed pretending line outage principle and a pre-contingency Taylor Series Approximation. Moreover, an adaptive technique is proposed for selection of the number of critical lines. First, various test systems including IEEE 9-, 39-, 57-, 118-, 300-, and 2746-bus are used for investigation of the performance of the proposed method in terms of accuracy and computational time. Moreover, the ability of the proposed method in solving the Online Vulnerability Assessment under the uncertainty of the operating condition, caused by wind power resources and load demand forecast error, is investigated in IEEE 118-bus and IEEE 300-bus test systems. Finally, the simulation results are presented to verify that the proposed approach has sufficient speed and accuracy to be used in online operational vulnerability assessments.