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flower pollination algorithm for distribution system phase balancing considering variable demand

MICROPROCESSORS AND MICROSYSTEMS 2020年 74卷 103008-103008页

作者： Mahendran, G. Govindaraju, C. Builders Engn Coll Dept Elect & Elect Engn Nathakadaiyur 638108 Tamil Nadu India Govt Coll Engn Dept Elect & Elect Engn Salem Tamil Nadu India

Power Distribution systems are one of the most critical links between utility and utility customer. Control of power loss in distribution systems are very much essential considering the economical aspects. Reconfiguration, Capacitor Placement and Phase Balancing are the different methods practiced for power loss reduction. Due to the unbalanced nature of the distribution system, phase balancing is considered as the effective one amongst the above mentioned three methods. Unbalanced feeders not only increase power losses and the risk of overload situations, but they also affect power quality and electricity price. A severely unbalanced circuit can result in excessive voltage drops on the heavily phase. Even a feeder system is designed as a balanced feeder based on the given load data, load prediction errors and unbalanced load growth will induce feeder imbalance. Phase swapping is a direct and effective way to balance a feeder in terms of phases. It has been practiced by engineers based on their previous experiences, and trial and error for phase balancing. In this paper, a phase swapping algorithm based on hybrid Fuzzy-flower pollination algorithm (FFPA) has been developed to minimize the phase current deviation amongst the phases. flower pollination algorithm is used to optimize the fitness value and fuzzy used to format the fitness function integrating multi-objectives. The validation of the proposed algorithm is done through two standard test cases and simulation results are compared with literature. (C) 2020 Elsevier B.V. All rights reserved.

关键词： Distribution system flower pollination algorithm Optimization Heuristic fuzzy Phase balancing Phase swapping

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flower pollination algorithm Optimized PI-PD Cascade Controller in Automatic Generation Control of a Multi-area Power System

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2016年 82卷 19-28页

作者： Dash, Puja Saikia, Lalit Chandra Sinha, Nidul Biju Pattnaik Tech Univ ABIT Grp Inst Dept Elect Engn Odisha India Natl Inst Technol Silchar Dept Elect Engn Silchar Assam India

This article presents automatic generation control (AGC) of an interconnected four area thermal system. The control areas are provided with single reheat turbine and generation rate constraints of 3%/min. A maiden attempt has been made to apply a Proportional integral-Proportional derivative (PI-PD) cascade controller in AGC. Controller gains are optimized simultaneously using flower pollination algorithm (FPA), a recent evolutionary computational technique. Performance of classical controllers such as Integral (I), Proportional Integral (PI) and Proportional Integral Derivative (PID) controller are investigated and compared with PI-PD cascade controller. Investigations reveal that in this comparison PI-PD cascade controller provides much better response than others. The performances comparison of several objective functions are evaluated and explored that integral squared error is better than others for the system with the PI-PD cascade controller. Sensitivity analysis reveals that the FPA optimized PI-PD cascade controller parameters obtained at nominal condition of loading, size, position of disturbance and system parameter such as inertia constant, H are robust and need not be reset with wide changes in system loading, size, position of disturbance and system parameters. The system dynamic performances are studied with 1% step load perturbation, random load in Area 1. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Automatic generation control Cascade controller flower pollination algorithm Sensitivity analysis

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flower pollination algorithm and Loss Sensitivity Factors for optimal sizing and placement of capacitors in radial distribution systems

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2016年 78卷 207-214页

作者： Abdelaziz, A. Y. Ali, E. S. Abd Elazim, S. M. Ain Shams Univ Fac Engn Elect Power & Machine Dept Cairo Egypt Zagazig Univ Fac Engn Elect Power & Machine Dept Zagazig Egypt

In this paper, flower pollination algorithm (FPA) is proposed for optimal allocations and sizing of capacitors in various distribution systems. First the most candidate buses for installing capacitors are suggested using Loss Sensitivity Factors (LSF). Then the proposed FPA is employed to deduce the locations of capacitors and their sizing from the elected buses. The proposed algorithm is tested on 10, 33 and 69 bus radial distribution systems. The obtained results via the proposed algorithm are compared with others to highlight the benefits of the proposed algorithm in reducing total cost and maximizing the net saving. Moreover, the results are introduced to verify the effectiveness of the proposed algorithm to enhance the voltage profiles for various distribution systems. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： flower pollination algorithm Power systems Power losses Optimal capacitor locations Loss Sensitivity Factors Distribution systems

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flower pollination algorithm with Powell's Method for the Minimum Energy Broadcast Problem in Wireless Sensor Network

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WIRELESS PERSONAL COMMUNICATIONS 2021年第2期119卷 1111-1135页

作者： Rajeswari, M. Thirugnanasambandam, Kalaipriyan Raghav, R. S. Prabu, U. Saravanan, Devaraj Anguraj, Dinesh Kumar Sri Manakula Vinayagar Engn Coll Pondicherry India Madanapalle Inst Technol & Sci Sch Comp Dept Comp Sci & Technol Madanapalle Andhra Prades India SASTRA Deemed Univ Sch Comp Thanjavur Tamil Nadu India Velagapudi Ramakrishna Siddhartha Engn Coll Dept CSE Vijayawada India VIT Bhopal Univ Dept Comp Sci Engn Sehore Madhya Pradesh India Koneru Lakshmaiah Educ Fdn Dept Comp Sci & Engn Guntur Andhra Pradesh India

Minimum energy broadcast (MEB) problem in wireless sensor network has attracted attentions of the many researchers due to the limited bandwidth of the network and battery life of the sensor nodes. The data in a wireless network are transmitted from the source node to all other nodes and seek broadcast scheme to transmit with minimum energy consumption. The main objective of MEB is to minimize the transmission energy consumption of the network and is considered as an NP-complete problem. This work proposes a new variant of flower pollination algorithm based on Powell's method (PFPA) to solve MEB problem in wireless sensor networks. The proposed algorithm is compared with other heuristic approaches and the performance of the algorithm is assessed using benchmark instances with 50 and 100 nodes. The effectiveness and merit of the proposed algorithm is demonstrated in terms of performance metrics.

关键词： Wireless sensor networks Minimum energy broadcast flower pollination algorithm Powell’ s method

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flower pollination algorithm for Multimodal Optimization

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INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS 2017年第1期10卷 627-646页

作者： Galvez, Jorge Cuevas, Erik Avalos, Omar Univ Guadalajara CUCEI Dept Elect Av Revoluc 1500 Guadalajara Jal Mexico

This paper proposes a new algorithm called Multimodal flower pollination algorithm (MFPA). Under MFPA, the original flower pollination algorithm (FPA) is enhanced with multimodal capabilities in order to fmd all possible optima in an optimization problem. The performance of the proposed MFPA is compared to several multimodal approaches considering the evaluation in a set of well-known benchmark functions. Experimental data indicate that the proposed MFPA provides better results over other multimodal competitors in terms of accuracy and robustness.

关键词： flower pollination algorithm Multimodal optimization Multimodal flower pollination algorithm

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flower pollination algorithm based multi-objective congestion management considering optimal capacities of distributed generations

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ENERGY 2018年 147卷 980-994页

作者： Peesapati, Rajagopal Yadav, Vinod Kumar Kumar, Niranjan Natl Inst Technol Jamshedpur Dept Elect Engn Jharkhand 831014 India AKTU Dept Elect Engn REC Bijnor Lucknow 246701 Uttar Pradesh India

Transmission Congestion creates hindrance that limit the most economical supply to reach demands. Hence, it is relieved at the earliest to make optimum utilization of available transmission network in order to achieve maximum profits. In this work, optimal capacities of distributed generation (DG) units are inserted to remove the congestion in the transmission lines of bulk power system. Multi-objectives like real power losses, investment costs, voltage deviations and line capacities are converted into single objective and is minimized to obtain the optimal capacities of the DG units. flower pollination algorithm (FPA) is implemented to achieve the best capacities of the DGs that are operating at unity (UPF) and 0.9 lagging power factors. The capacities of DGs are obtained at multiple locations instead of single optimal or sub-optimal location in order to improve the practical feasibility while connecting the DGs. The proposed methodology is practiced on IEEE 30 and 118 bus system to check the effectiveness. Further, the result obtained by FPA are compared with Genetic algorithm (GA) and Particle Swarm Optimization (PSO) approaches in terms of real power losses (RPL) and line flows. Results conveyed that the proposed algorithm had superior features, stable convergence characteristics and good computational efficiency. (C) 2018 Elsevier Ltd. All rights reserved.

关键词： Transmission congestion Distributed generation flower pollination algorithm

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flower pollination algorithm with pollinator attraction

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EVOLUTIONARY INTELLIGENCE 2023年第3期16卷 873-889页

作者： Mergos, Panagiotis E. Yang, Xin-She Univ London Res Ctr Civil Engn Struct Dept Civil Engn London EC1V 0HB England Middlesex Univ London Design Engn & Math London England

The flower pollination algorithm (FPA) is a highly efficient optimization algorithm that is inspired by the evolution process of flowering plants. In the present study, a modified version of FPA is proposed accounting for an additional feature of flower pollination in nature that is the so-called pollinator attraction. Pollinator attraction represents the natural tendency of flower species to evolve in order to attract pollinators by using their colour, shape and scent as well as nutritious rewards. To reflect this evolution mechanism, the proposed FPA variant with Pollinator Attraction (FPAPA) provides fitter flowers of the population with higher probabilities of achieving pollen transfer via biotic pollination than other flowers. FPAPA is tested against a set of 28 benchmark mathematical functions, defined in IEEE-CEC'13 for real-parameter single-objective optimization problems, as well as structural optimization problems. Numerical experiments show that the modified FPA represents a statistically significant improvement upon the original FPA and that it can outperform other state-of-the-art optimization algorithms offering better and more robust optimal solutions. Additional research is suggested to combine FPAPA with other modified and hybridized versions of FPA to further increase its performance in challenging optimization problems.

关键词： flower pollination algorithm Pollinator attraction Metaheuristics Evolutionary Optimization

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flower pollination algorithm for Optimal Capacitor Placement and Sizing in Distribution Systems

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ELECTRIC POWER COMPONENTS AND SYSTEMS 2016年第5期44卷 544-555页

作者： Abdelaziz, Almoataz Y. Ali, Ehab S. Abd Elazim, Sahar M. Ain Shams Univ Elect Power & Machine Dept Fac Engn Abdo Basha Sq Cairo 11517 Egypt Zagazig Univ Fac Engn Elect Power & Machine Dept Zagazig Egypt Jazan Univ Fac Engn Dept Elect Jazan Saudi Arabia

In this article, a new and powerful algorithm called the flower pollination algorithm is proposed for optimal allocations and sizing of capacitors in various distribution systems. First, candidate buses for installing capacitors are suggested using loss sensitivity factors and the voltage stability index. Then the proposed flower pollination algorithm is employed to deduce the locations of capacitors and their sizing from the elected buses. The objective function is designed to reduce the total cost and, consequently, to increase the net savings per year. The proposed algorithm is tested on 10-, 69-, and 118-bus radial distribution systems. The obtained results via the proposed algorithm are compared with other algorithms to highlight the benefits of the proposed algorithm. Moreover, the results are introduced to verify the effectiveness of the suggested algorithm to minimize the losses and total cost and to enhance the voltage profile and net savings for various distribution systems and different loading conditions.

关键词： distribution systems flower pollination algorithm optimal capacitor locations voltage stability index loss sensitivity factors

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flower pollination algorithm with runway balance strategy for the aircraft landing scheduling problem

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CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2018年第3期21卷 1543-1560页

作者： Zhou, Guo Wang, Rui Zhou, Yongquan China Univ Polit Sci & Law Dept Sci & Technol Teaching Beijing 100088 Peoples R China Guangxi Univ Nationalities Coll Informat Sci & Engn Nanning 530006 Peoples R China Guangxi High Sch Complex Syst & Computat Inte Key Lab Nanning 530006 Peoples R China

Aircraft landing scheduling is a challenging problem in the field of air traffic, whose objective is to determine the best combination of assigning the sequence and corresponding landing time for a given set of aircraft to a runway, and then minimize the sum of the deviations of the actual and target landing times under the condition of safe landing. In this paper, a flower pollination algorithm embedded with runway balance is proposed to solve it. Context cognitive learning and runway balance strategy are devised here to enhance its searching ability. 36 scheduling instances are selected from OR-Library to validate its performance. The experimental results show that the proposed algorithm can get the optimal solutions for instances up to 100 aircrafts, and is also capable of obtaining better solutions compared with SS, BA and FCFS for instances up to 500 aircrafts in a shorter time.

关键词： Aircraft landing scheduling Context cognitive learning flower pollination algorithm Runway balance Walking one strategy

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flower pollination algorithm: A novel approach for multiobjective optimization

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ENGINEERING OPTIMIZATION 2014年第9期46卷 1222-1237页

作者： Yang, Xin-She Karamanoglu, Mehmet He, Xingshi Middlesex Univ Sch Sci & Technol London NW4 4BT England Xian Polytech Univ Sch Sci Xian Peoples R China

Multiobjective design optimization problems require multiobjective optimization techniques to solve, and it is often very challenging to obtain high-quality Pareto fronts accurately. In this article, the recently developed flower pollination algorithm (FPA) is extended to solve multiobjective optimization problems. The proposed method is used to solve a set of multiobjective test functions and two bi-objective design benchmarks, and a comparison of the proposed algorithm with other algorithms has been made, which shows that the FPA is efficient with a good convergence rate. Finally, the importance for further parametric studies and theoretical analysis is highlighted and discussed.

关键词： algorithm flower pollination algorithm metaheuristics benchmark optimization

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