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Stochastic framework for reliability enhancement using optimal feeder reconfiguration

Journal of Systems Engineering and Electronics 2014年第5期25卷 901-910页

作者： abdollah kavousi-fard Taher Niknam Mohammad-Reza Akbari-Zadeh Bahram Dehghan Nourabad Mamasani Branch Islamic Azad University Electronic and Electrical Department Shiraz University of Technology

Optimal distribution feeder reconfiguration （DFR） is a valuable and costless approach to increase the load balance, reduce the amount of power losses, and improve the voltage of the buses. In this way, this paper aims to investigate the optimal DFR strategy as a proper tool to improve the reliability of the radial distribution networks. The idea of failure rate reduction is employed to see the effect of feeder current reduction on the reliability of the system more accurately. The objects to be investigated are system average interruption frequency index （SAIFI）, system average interruption duration index （SAIDI）, average energy not supplied （AENS） and total active power losses. The problem is then formulated in a stochastic framework based on the point estimate method （PEM） to handle the uncertainty effects. The feasibility and satisfying performance of the proposed method is examined on a standard IEEE test system.

关键词： reliability enhancement uncertainty distribution systems optimal reconfiguration.

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A Novel Stochastic Framework for the Optimal Placement and Sizing of Distribution Static Compensator

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Journal of Intelligent Learning Systems and Applications 2013年第2期5卷 90-98页

作者： Reza Khorram-Nia Aliasghar Baziar abdollah kavousi-fard Department of Electrical and Computer Engineering Safashahr Branch Islamic Azad University Safashahr Iran

This paper proposes a new stochastic framework based on the probabilistic load flow to consider the uncertainty effects in the Distribution Static Compensator (DSTATCOM) allocation and sizing problem. The proposed method is based on the point estimate method (PEM) to capture the uncertainty associated with the forecast error of the loads. In order to explore the search space globally, a new optimization algorithm based on bat algorithm (BA) is proposed too. The objective functions to be investigated are minimization of the total active power losses and reducing the voltage deviation of the buses. Also to reach a proper balance between the optimization of both the objective functions, the idea of interactive fuzzy satisfying method is employed in the multi-objective formulation. The feasibility and satisfying performance of the proposed method is examined on the 69-bus IEEE distribution system.

关键词： DSTATCOM Allocation Uncertainty Multi-Objective Optimization 2 m Point Estimate Method

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A Novel Self Adaptive Modification Approach Based on Bat Algorithm for Optimal Management of Renewable MG

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Journal of Intelligent Learning Systems and Applications 2013年第1期5卷 11-18页

作者： Aliasghar Baziar abdollah Kavoosi-fard Jafar Zare Department of Electrical Engineering Sarvestan Branch Islamic Azad University Sarvestan Iran.

In the new competitive electricity market, the accurate operation management of Micro-Grid (MG) with various types of renewable power sources (RES) can be an effective approach to supply the electrical consumers more reliably and economically. In this regard, this paper proposes a novel solution methodology based on bat algorithm to solve the op- timal energy management of MG including several RESs with the back-up of Fuel Cell (FC), Wind Turbine (WT), Photovoltaics (PV), Micro Turbine (MT) as well as storage devices to meet the energy mismatch. The problem is formulated as a nonlinear constraint optimization problem to minimize the total cost of the grid and RESs, simultaneously. In addition, the problem considers the interactive effects of MG and utility in a 24 hour time interval which would in- crease the complexity of the problem from the optimization point of view more severely. The proposed optimization technique is consisted of a self adaptive modification method compromised of two modification methods based on bat algorithm to explore the total search space globally. The superiority of the proposed method over the other well-known algorithms is demonstrated through a typical renewable MG as the test system.

关键词： Renewable Micro-Grid (MG) Renewable Power Sources (RESs) Self Adaptive Modified Bat Algorithm (SAMBA) Nonlinear Constraint Optimization

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