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A Multi-objective shuffled bat algorithm for optimal placement and sizing of multi distributed generations with different load models

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2016年 79卷 120-131页

作者： Yammani, Chandrasekhar Maheswarapu, Sydulu Matam, Sailaja Kumari Natl Inst Technol Warangal Dept Elect Engn Warangal Telangana India

In this paper a new and efficient hybrid multi-objective optimization algorithm is proposed for optimal placement and sizing of the Distributed generations (DGs) in radial distribution systems. A Multi objective shuffled bat algorithm is proposed to evaluate the impact of DG placement and sizing for an optimal improvement of the distribution system with different load models. In this study, the ideal sizes and locations of DG units are found by considering the power losses, cost and voltage deviation as objective functions to minimize. Furthermore, the study is verified with voltage dependent load models like industrial, residential, commercial and mixed load models. The feasibility of the proposed technique is verified with the 33 bus distribution network and also the qualitative comparisons against a well-known technique, known as Non-dominated Sorting Genetic algorithm II (NSGA-II) is done and results are presented. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Distributed generation Power loss minimization Multi-objective optimization algorithm shuffled bat algorithm Load models

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Optimal placement and sizing of distributed generations using shuffled bat algorithm with future load enhancement

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INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS 2016年第2期26卷 274-292页

作者： Yammani, Chandrasekhar Maheswarapu, Sydulu Matam, Sailaja Kumari Natl Inst Technol Warangal Andhra Pradesh India

In this paper, a new and efficient hybrid optimization algorithm is proposed for optimal placement and sizing of the distributed generations (DGs). Bus voltage profile improvement, line flow capacity, and active and reactive power loss minimization are considered as multi-objectives to optimize under-distribution load enhancement. The addition of multi-DGs to the distribution system, which is already having DGs, is studied under increased load demand. Renewable energy resources such as wind, solar, fuel cell, and micro turbines are considered in power system modeling for finding the optimal placement and sizing. Current injection-based distribution load is considered in DGs modeling in power systems. Active and reactive losses and voltage profiles are studied for all combinations of DGs. To optimize the objective function, a new optimization technique called shuffled bat algorithm is proposed. The proposed methodology is tested on 38-bus and 69-bus radial distribution systems with 100% and 120% of base load conditions to demonstrate its performance and effectiveness. Results show that the planned methodology is superior to existing strategies in terms of multi-objectives considered. Copyright (c) 2015 John Wiley & Sons, Ltd.

关键词： distributed generation distribution system loading power loss minimization optimization algorithm shuffled bat algorithm

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Optimal placement and sizing of DGs at various load conditions using shuffled bat algorithm

Optimal placement and sizing of DGs at various load conditio...

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Power and Energy Conference at Illinois

作者： Yammani, Chandrasekhar Sydulu, Maheswarapu Matam, Sailaja Kumari Natl Inst Technol Dept Elect Engn Warangal Andhra Pradesh India

ISBN: (纸本)9781479979493

In this paper a new and efficient hybrid optimization algorithm is proposed for optimal placement and sizing of the Distributed Generations (DGs). Bus voltage profile improvement, line flow capacity, active and reactive power loss minimization are considered as multi-objectives to optimize under various distribution load conditions. Renewable energy resources such as wind, solar, fuel cell and micro turbines are considered in power system modeling for finding the optimal placement and sizing. Current injection based distribution load flow is considered in DGs modeling in power systems. To optimize the objective function, a new optimization technique called shuffled bat algorithm (Shbat) is proposed. The proposed methodology is tested on 84-bus Taiwan power company distribution systems with 90%, 100% and 120% of base load conditions to demonstrate its performance and effectiveness. Results show that the planned methodology is superior to existing strategies in terms of multi-objectives considered.

关键词： nDistributed Generation shuffled bat algorithm Optimization Techniques bat algorithm Loss reduction

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Optimal Placement and Sizing of Multi Distributed Generations with Renewable Bus Available limits using shuffled bat algorithm 27

Optimal Placement and Sizing of Multi Distributed Generation...

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IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE)

作者： Yammani, Chandrasekhar Maheswarapu, Sydulu Matam, Sailaja Kumari IEEE India

ISBN: (纸本)9781479930999

In this paper a new optimization algorithm is proposed for optimal planning of the Distributed generation (DG's) with renewable bus available limit constraint. Distribution system objectives considered for optimization are Active and reactive power losses minimization, bus voltage profile improvement, and line flow capacity limits. Power system modeled Distributed generations such as wind, solar and fuel cell and some artificial models like micro turbines are used to study the proposed algorithm. To optimize the objective function with voltage limits and renewable DG bus available limit constraints, shuffled bat algorithm (Shbat) is proposed and compared with Genetic algorithm (GA) and bat algorithm (bat). 84-bus distribution system testing with proposed algorithm is presented with results.

关键词： Distributed Generation(DG) Distribution system loading Loss minimization Optimization algorithm shuffled bat algorithm

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A Multi-objective shuffled bat algorithm for Optimal Placement and Sizing of DGs with Load variations

A Multi-objective Shuffled Bat Algorithm for Optimal Placeme...

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IEEE Region 10 Conference (TENCON)

作者： Yammani, Chandrasekhar Natl Inst Technol Warangal Warangal Telangana India

ISBN: (纸本)9781509025978

A new hybrid Multi-objective shuffled bat optimization algorithm is proposed in this paper for Distributed generations (DGs) optimal placement and sizing. Multiple objectives like system power losses, cost of DG and system voltage profiles are considered to evaluate the impact of DG placement and sizing for an optimal development of the distribution system with load variations. Furthermore, the study is demonstrated with different % loading such as 80,100 and 120% of base load condition. The proposed technique is tested in 33 bus distribution network, and compared against Non-dominated Sorting Genetic algorithm II (NSGA-II).

关键词： Distributed Generation Distribution system loading Power Loss minimization Optimization algorithm shuffled bat algorithm

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Optimal Placement and Sizing of Multi Distributed Generations with Renewable Bus Available limits using shuffled bat algorithm

Optimal Placement and Sizing of Multi Distributed Generation...

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IEEE Canadian Conference on Electrical and Computer Engineering

作者： Chandrasekhar Yammani Sydulu Maheswarapu Sailaja Kumari Matam Faculty of Electrical Engineering Universiti Teknologi Malaysia Johor Malaysia

ISBN: (纸本)9781479931026

关键词： Distributed Generation(DG) Distribution system loading Loss minimization Optimization algorithm shuffled bat algorithm

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A Multi-objective shuffled bat algorithm for Optimal Placement and Sizing of DGs with Load variations

A Multi-objective Shuffled Bat Algorithm for Optimal Placeme...

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IEEE Region 10 Conference

作者： Chandrasekhar Yammani National Institute of Technology Warangal

ISBN: (纸本)9781509025985

关键词： Distributed Generation Distribution system loading Power Loss minimization Optimization algorithm shuffled bat algorithm

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