Reza Khorshidi

Shiraz University

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Taher Niknam

Shiraz University of Technology

F. Shabaninia

Shiraz University

Faridon Shabaninia

Shiraz University

Majid Nayeripour

TH Köln - University of Applied Sciences

Mostafa Mohamadian

Tarbiat Modares University

S. Vadhva

California State University, Sacramento

Javad Olamaie

Islamic Azad University South Tehran Branch

Bahman Bahmani Firouzi

Islamic Azad University, Marvdasht

M. Vaziri

California State University, Sacramento

Masoud Jabbari

Islamic Azad University, Marvdasht

Cooperative Institutions

Islamic Azad University, Marvdasht

Shiraz University

Tarbiat Modares University

California State University, Sacramento

Islamic Azad University, Tehran

Shiraz University of Technology

Sharif University of Technology

Islamic Azad University South Tehran Branch

Regional Information Center for Science and Technology

California State University System

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A new optimization algorithm based on teacher learning algorithm for optimal operation of electric grids

Journal of Intelligent & Fuzzy Systems (2017)

Bahman Bahmani-Firuzi Reza Khorshidi

The future smart grids will contain a high number of Plug-in Electric Vehicles (PEVs) that will move in the grid widely. The high penetration of these devices will bring new challenges regarding the optimal operation and management of the system. In this way, this paper proposes a realistic framewo rk to first model PEVs movements in the grid and second schedule their movement for minimizing the costs. The cost function consists of the total network cost for supplying the electric loads and PEVs for 24 hour time horizon. According to the high complexities of the problem, a new optimization framework based on teacher learning algorithm (TLO) with a new modification method is proposed to search the problem space thoroughly. The feasibility and satisfying performance of the proposed optimization framework are examined on the IEEE test system.

Plug-in

Optimization algorithm

Time horizon

Function optimization

10.3233/ifs-162145

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Citations (2)

Kalman-Particle Filter Used for Particle Swarm Optimization of Economic Dispatch Problem

Reza Khorshidi F. Shabaninia M. Vaziri S. Vadhva

This paper presents an effective evolutionary method to solve the Economic Dispatch (ED) problem with units having prohibited operating zones. The Kalman filter is an efficient recursive filter that estimates the state of a dynamic system from a series of noisy measurements in the Total Power Generation (TPG). ED is an example of a dynamic system algorithm that has been widely used for determination most economical generation profile to optimize the overall electricity prices. ED is a non-smooth problem when valve-point effects of generation units are considered. This paper applies Kalman - Particle filter (KF-PF) to the ED state estimation problem that has been optimized with Particle Swarm Optimization (PSO), with the emphasis to avoid the solution being trapped in local optimas [1], [2]. Kalman and particle filter are used to estimate TPG as state of ED problem. The performance of the KF-PF has been tested on a typical system and compared with others proposed in the literatures. The comparison results show that the efficiency of proposed approach can reach higher quality solutions.

Economic Dispatch

10.1109/ghtc.2012.73

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Citations (4)

A new smart approach for state estimation of distribution grids considering renewable energy sources

Energy (2015)

Reza Khorshidi Faridon Shabaninia Taher Niknam

Firefly Algorithm

10.1016/j.energy.2015.10.096

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Citations (37)

A control system for a single-spin LEO satellite employing supervisory control with fuzzy logic and adaptive control under uncertainty

Journal of Intelligent & Fuzzy Systems (2006)

Faridoon Shabaninia Reza Khorshidi

We present an algorithm of supervisory control with fuzzy logic and adaptive control of a low earth orbit LEO satellite with single-spin stabilization. The error generated by an adaptive control signal can be computed with only the reference dynamics of the model and the damping. A fuzzy logic algorithm is presented that acts as a supervisory control and estimates the changes of the parameters and applies the necessary signals to avoid any unsuitability in the system. The results of simulation have shown that position control is performed within an acceptable tolerance by using the suggested algorithm, which includes three closed-loop systems and unknown parameters of the system [1,2,3].

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Optimization of an Improved Sliding Mode Controller for Shunt Active Power Filter

International Conference on Power Engineering, Energy and Electrical Drives (2007)

Majid Nayeripour Ali Yazdian Varjani Mostafa Mohamadian Reza Khorshidi

In this paper, the compensation of load harmonic current is investigated using Lagrange function and minimization of load current active component. The results are compared with load harmonic current compensation using instantaneous three phase reactive power theory. Next the PI and sliding mode controller are modified such that RMS value of error signal is minimized and state variables reach the sliding surface faster than conventional sliding mode controller. This improves the dynamic response of active power filter under load unbalance and harmonics conditions.

Harmonic

Harmonic Analysis

Minification

10.1109/powereng.2007.4380157

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Citations (1)

A new method for detection of fake data in measurements at smart grids state estimation

IET Science Measurement & Technology (2015)

Reza Khorshidi F. Shabaninia

In the smart grids area, attractive issues are created for the hackers such that they tend to interface the control of smart grids deliberately or unintentionally so that the normal operations of these systems are endangered. According to the insight of the smart grids systems, it is anticipated that in near future, all the distribution systems would be operated smartly. In this regard, the state estimation and control algorithms should be improved to be able to detect and omit fake data of measurements appropriately. Some methods for state estimation, such as Kalman filter as a proper criterion can omit the noisy data from the measurements. Similarly, the chi-square method is capable of detecting bad data, but cannot detect and remove unreal and fake data. The purpose of this work is to propose a suitable method for state estimation in the smart grids considering the possibility of having fake data measurement. It will be shown that the use of evolutionary algorithms, such as bat algorithm with a hybrid approach based on the weighted least square technique makes it possible to detect and omit fake data.

Hacker

10.1049/iet-smt.2014.0318

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Citations (5)

A new method for detection of fake data and adaptive fuzzy PI control for power system stability

Journal of Intelligent & Fuzzy Systems (2015)

Bahman Bahmani-Firouzi Reza Khorshidi Masoud Jabbari Mehdi Nafar

This paper presents a fuzzy PI controller as a power system stabilizer. The fuzzy PI controller has been designed in order to prepare an auxiliary signal for the excitation system of the synchronous generator. The proposed controller utilizes a combination of a fuzzy logic controller (FLC) and a PI controller, which are the most recent researches in the problem at hand. In comparison with the conventional fuzzy controllers, the proposed fuzzy PI controller takes advantage of both FLC and conventional PI controller to overcome all kind of disturbances. The damping of oscillations local modes in a power system will substantially be controlled by employing this controller as a replacement for conventional PSS. Furthermore, the presented paper considers the conventional PSS and compares its performance with respect to three proposed types of fuzzy PI controller. Correspondingly, the effects of the supplementary signals in damping oscillation have been shown. Finally, to scrutinize the effectiveness of the proposed controller in damping oscillations, a three-phase short circuit condition is studied in order to clarify the application of the developed methodology. The achieved outcomes show that the proposed controller for stabilizing power system can provide very good damping characteristic.

Open-loop controller

10.3233/ifs-151703

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Citations (0)

A control system for a single-spin LEO satellite employing supervisory control with fuzzy logic and adaptive control under uncertainty

F. Shabaninia Reza Khorshidi

We present an algorithm of supervisory control with fuzzy logic and adaptive control of a low Earth orbit (LEO) satellite with single-spin stabilization. The error generated by an adaptive control signal can be computed with only the reference dynamics of the model and the damping. A fuzzy logic algorithm is presented that acts as a supervisory control and estimates the changes of the parameters and applies the necessary signals to avoid any unsuitability in the system. The results of simulation have shown that position control is performed within an acceptable tolerance by using the suggested algorithm, which includes three closed-loop systems and unknown parameters of the system.

SIGNAL (programming language)

Position (finance)

10.1109/iri-05.2005.1506498

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A hybrid evolutionary algorithm for distribution feeder reconfiguration

Sadhana (2010)

Taher Niknam Reza Khorshidi Bahman Bahmani Firouzi

Control reconfiguration

10.1007/s12046-010-0023-z

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Citations (15)

Distribution Feeder Reconfiguration Considering Distributed Generators

International Journal of Electrical and Computer Engineering (IJECE) (2008)

Reza Khorshidi Taher Niknam Majid Nayeripour

Abstract — Recently, distributed generation technologies have received much attention for the potential energy savings and reliability assurances that might be achieved as a result of their widespread adoption. Fueling the attention have been the possibilities of international agreements to reduce greenhouse gas emissions, electricity sector restructuring, high power reliability requirements for certain activities, and concern about easing transmission and distribution capacity bottlenecks and congestion. So it is necessary that impact of these kinds of generators on distribution feeder reconfiguration would be investigated. This paper presents an approach for distribution reconfiguration considering Distributed Generators (DGs). The objective function is summation of electrical power losses A Tabu search optimization is used to solve the optimal operation problem. The approach is tested on a real distribution feeder. Keywords — Distributed Generator, Daily Optimal Operation, Genetic Algorithm.

Control reconfiguration

Microgrid

Restructuring

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Citations (4)