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Parameter identification of photovoltaic discrete-time equivalent model using the bat algorithm

ENERGY REPORTS 2023年 9卷 449-458页

作者： Shen, Fu Zhang, Wei Cao, Yang Wang, Zhe Yang, Guangbing Shan, Jieshan Zhai, Suwei Kunming Univ Sci & Technol Fac Elect Power Engn Kunming 650500 Peoples R China Yunnan Power Grid Co Ltd Elect Power Inst Kunming 650217 Peoples R China

As the development of photovoltaic (PV) power generation continuously accelerated the total installed capacity of PV, the traditional static load model is difficult to meet the needs of the power grid with the increasing penetration of PV. And the dynamic model of grid-connected PV power generation is complicated and there are plenty parameters need to be identified, so the dynamic model of grid-connected PV power generation are extremely challenging to apply in wide-area power system. In this paper, a discrete-time equivalent model of PV (PDEM) is established based on the third-order dynamic differential equation of the PV power generation system and the parameters of the PDEM are identified using the least squares (LS) and the bat algorithm (BA). Besides, the dynamic characteristics of the PV power generation grid connected system with different permeability and the fitting residuals of the two methods is analyzed in the IEEE14-bus system incorporated into the PV system. The applicability of the PDEM is verified by setting short circuit grounding fault and changing the PV permeability and voltage dip. The simulation results demonstrate that the PDEM has a strong adaptability and good applicability in the case of high PV permeability with a wide application. And the applicability of the BA in identification of PDEM are given in this paper. (c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under theCCBY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： PV power Dynamic equivalence bat algorithm Parameter identification

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A novel method for image thresholding using interval type-2 fuzzy set and bat algorithm

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APPLIED SOFT COMPUTING 2018年 63卷 154-166页

作者： Dhar, Soumyadip Kundu, Malay K. RCC Inst Informat Technol Kolkata 700015 India Indian Stat Inst Kolkata 700108 India

In this paper, we propose a novel image thresholding method based on the interval type-2 fuzzy set (IT2FS). The interval type-2 fuzzy membership function (IT2FMF) is generated from a bag of type-1 fuzzy membership functions (T1FMFs) chosen adaptively based on the image characteristics for a given problem. An evolutionary algorithm called bat algorithm is used to enhance the computational efficiency of the proposed thresholding technique. It is expected that the IT2FS based threshold technique will be better than that of the methods based on type-1 fuzzy set due to superior uncertainty handling capacity of the former technique. This fact is experimentally verified using benchmark dataset. The performance and robustness of the proposed method under different noise corruptions are measured statistically on the dataset by modified Cramer-Rao bound. The segmentation performance of the proposed method is compared experimentally with that of the state-of-the-art methods based on fuzzy and non-fuzzy frameworks. It is observed that the proposed method can achieve a higher segmentation accuracy in comparison to other state-of-the-art methods when they are benchmarked against the Modified Cramer-Rao Bound. Also, on average the misclassification error (ME) of the proposed method in segmentation is found to be minimum in comparison to the state-of-the-art methods. (C) 2017 Elsevier B.V. All rights reserved.

关键词： Interval type-2 membership function Uncertainty handling Image thresholding bat algorithm Modified Cramer-Rao bound

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Resilient wide-area multi-mode controller design based on bat algorithm for power systems with renewable power generation and battery energy storage systems

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IET GENERATION TRANSMISSION & DISTRIBUTION 2019年第10期13卷 1884-1894页

作者： Setiadi, Herlambang Mithulananthan, N. Shah, Rakibuzzaman Lee, Kwang Y. Krismanto, Awan Uji Univ Queensland Sch Informat Technol & Elect Engn Brisbane Qld 4072 Australia Univ Manchester Sch Elect & Elect Engn Manchester M13 9PL Lancs England CQ Univ Sch Engn & Technol Perth WA 6000 Australia Baylor Univ Dept Elect & Comp Engn Waco TX 76798 USA

Modern power systems consist of power electronics devices, which are used in renewable energy (RE) conversion. However, these devices, associated controllers, and uncertainty in RE output could bring new challenges to power system stability, especially oscillatory stability. Hence, the integration of battery energy storage systems (BESSs) is being developed to minimise the uncertainty and variability in renewables. Furthermore, to tackle the complex dynamics and inertia-less characteristics of wind and PV plants additional controllers such as power oscillation damping (POD) control and virtual inertia scheme are sought. However, the primary challenges associated with the wide-area oscillation damping controller are signal transmission delay, loss of communication signal, data drops, and others. This paper proposes a bat algorithm (BA) based resilient wide-area multi-mode controller (MMC) for enhancing oscillatory stability margin with high penetration of renewable power generations (RPGs) and BESSs. The Java 500 kV Indonesian grid is used to evaluate the performance of the resilient wide-area MMC. From the results, it is found that the proposed controller effectively damp the critical mode of oscillation in the system even under communication failure as well as certain damping controller failures.

关键词： battery storage plants optimisation power system stability power system control power system measurement renewable energy sources power grids damping control system synthesis renewable power generation bat algorithm practical power system resilient wide-area MMC damping controller failures resilient wide-area multimode controller design battery energy storage systems modern power systems power electronics devices energy conversion renewable energy sources power system stability renewable energy generation power output solar power plants additional controllers power oscillation damping control wide-area signals wide-area oscillation damping controller oscillatory stability problems BESS POD control virtual inertia scheme voltage 500 0 kV

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Radially Optimized Zone-Divided Energy-Aware Wireless Sensor Networks (WSN) Protocol Using BA (bat algorithm)

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IETE JOURNAL OF RESEARCH 2015年第2期61卷 170-179页

作者： Kaur, Sanam Preet Sharma, Manvinder Punjab Tech Univ Chandigarh Engn Coll Elect & Commun Landran Mohali India Punjab Tech Univ CGC Coll Engn Elect & Commun Landran Mohali India Punjab Tech Univ Elect & Commun Jalandhar India Amity Univ Elect & Commun VLSI Noida India

The problems of hot spot and energy consumption of nodes in wireless sensor networks (WSNs) have been tackled by the adoption of hybrid energy efficient distributed (HEED) and unequal clustering algorithm to prolong the network lifetime (UCAPN) protocols. These have involved the implementation of unequally sized clusters that are based on the distance of cluster head (CH) from the base station (BS). The BS partitions the network area into several radially divided zones depending on the distance from centre of the field and CHs are independently selected in each zone. Clustering, on the other hand, controls how data are transmitted and allows for aggregation in the clusters. However, whereas these topologies have been able to improve network life time, the problem of network void still persists. To address this, a radially optimized zone-divided energy-aware WSN protocol using bat algorithm is proposed. This protocol considers not only the distance from the BS, but also the angle at which the WSN develops. It gives a unique and equal opportunity for each sensor network to have ambience area for communicating and sensing necessary for its routing operations. Besides, it divides the sensing area into radial zones and employs the unequal clustering method in these zones to resolve the hot-spot problem. Based on the merits of zone-divided networks, CHs with great residual energy present in the high-energy regions are selected as the relay node in the inter-cluster multi-hop routing stage. Simulation results show that the proposed technique outperforms both HEED and UCAPN protocols. bat algorithm is capable of predicting most critical nodes and generates a scalable and feasible energy-efficient routing technique for radially optimized zone-divided energy-aware WSN. By exploiting the angle at which the WSN develops, this protocol avails equal opportunity for each sensor network to have enough fields for communicating and sensing necessary for its routing operations. Using

关键词： UCAPN Radially optimized bat algorithm HEED Wireless sensor networks

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Active Current Sharing of a Parallel DC-DC Converters System Using bat algorithm Optimized Two-DOF PID Control

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IEEE ACCESS 2019年 7卷 84757-84769页

作者： Chen, Stuan-Yi Yang, Bo-Chen Pu, Tse-An Chang, Chih-Hung Lin, Ruei-Cing Natl Taiwan Normal Univ Dept Elect Engn Taipei 106 Taiwan Wistron Corp Power Design Dept 1 Taipei 114 Taiwan

This paper presents a current sharing method to actively balance the output currents of a parallel dc-dc converters' (PDCC) system regarding the demanded power. First, the operating principle of the PDCC system with parallel-connected bidirectional converters is studied. To regulate the output voltage in dc bus and share the output currents of the individual converters, a dual-loop control architecture comprising an outer voltage control loop and multiple inner current control loops is designed based on the automatic master-slave control scheme. Moreover, a feedback-type two-degree-of-freedom proportional-integral-derivative (FB2PID) controller is introduced to obtain the pulse-width modulation control signals for the converters. In order to improve the dynamic response and robustness of the active current-sharing control performances of the FB2PID controlled PDCC system, a bat algorithm (BA)-optimized FB2PID control system is further proposed to concurrently and dynamically optimize the control parameters of the FB2PID controller in the current control loop. Thus, the output current of each converter can be controlled to share the demand power equally in the presence of uncertainties. Finally, the simulation and experimental results reveal that the proposed BA-optimized FB2PID control system outperforms the conventional PID and FB2PID control systems with regard to the voltage regulation and current sharing performances under the time-varying electric load condition.

关键词： bat algorithm current sharing parallel dc-dc converters system optimization two degree-of-freedom proportional-integral-derivative control

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Incorporating a modified uniform crossover and 2-exchange neighborhood mechanism in a discrete bat algorithm to solve the quadratic assignment problem

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EGYPTIAN INFORMATICS JOURNAL 2017年第3期18卷 221-232页

作者： Riffi, Mohammed Essaid Saji, Yassine Barkatou, Mohammed Chouaib Doukkali Univ Fac Sci Dept Comp Sci LAROSERI Lab El Jadida 24000 Morocco Chouaib Doukkali Univ Fac Sci Dept Math El Jadida 24000 Morocco

The bat algorithm is one of the recent nature-inspired algorithms, which has been emerged as a powerful search method for solving continuous as well as discrete problems. The quadratic assignment problem is a well-known NP-hard problem in combinatorial optimization. The goal of this problem is to assign n facilities to n locations in such a way as to minimize the assignment cost. For that purpose, this paper introduces a novel discrete variant of bat algorithm to deal with this combinatorial optimization problem. The proposed algorithm was evaluated on a set of benchmark instances from the QAPLIB library and the performance was compared to other algorithms. The empirical results of exhaustive experiments were promising and illustrated the efficacy of the suggested approach. (C) 2017 Production and hosting by Elsevier B.V. on behalf of Faculty of Computers and Information, Cairo University. This is an open access article under the CC BY-NC-ND license.

关键词： bat algorithm Quadratic assignment problem NP-hard problem Combinatorial optimization problem

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An enhanced bat algorithm approach for reducing electrical power consumption of air conditioning systems based on differential operator

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APPLIED THERMAL ENGINEERING 2016年 99卷 834-840页

作者： Coelho, Leandro dos Santos Askarzadeh, Alireza Pontifical Catholic Univ Parana PUCPR Ind & Syst Engn Grad Program PPGEPS Curitiba Parana Brazil Univ Fed Parana Dept Elect Engn BR-80060000 Curitiba Parana Brazil Grad Univ Adv Technol Inst Sci & High Technol & Environm Sci Dept Energy Management & Optimizat Kerman Iran

Energy saving plays a vital role in the decision-making process surrounding building design. Most often, the power consumption of chillers has a significant proportion of the total power consumption of the heating, ventilating and air conditioning (HVAC) systems. The problem of efficiently managing multiple chiller systems (MCSs) in HVAC is complex in many respects. In particular, the electrical energy consumption markedly increases if the machines are not properly managed. In this paper, an extended version of optimal chiller loading (OCL), namely, daily optimal chiller loading (DOCL) is introduced where a 24-h cooling load profile should be satisfied by a number of chillers so that the total power consumption of the chillers during 24-h is minimized. Then, an efficient optimization method is proposed for solving the DOCL by means of a new enhanced differential bat algorithm (DBA) which is a swarm intelligence paradigm. The simulation results represent that DBA produces promising results in comparison with other optimization metaheuristics, such as the original BA, firefly algorithm (FA), harmony search (HS), chicken swarm optimization (CSC), differential evolution (DE) and exponential natural evolution strategy (xNES). (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Multiple chiller systems optimization Electrical power consumption bat algorithm Differential evolution

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Modified bat algorithm for Optimal VM’s in Cloud Computing

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Computers, Materials & Continua 2022年第8期72卷 2877-2894页

作者： Amit Sundas Sumit Badotra Youseef Alotaibi Saleh Alghamdi Osamah Ibrahim Khalaf Department of Computer Science and Engineering Lovely Professional UniversityPhagwaraPunjab144411India Department of Computer Science College of Computer and Information SystemsUmm Al-Qura UniversityMakkah21955Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Al-Nahrain Nano-Renewable Energy Research Center Al-Nahrain UniversityBaghdad10072Iraq

All task scheduling applications need to ensure that resources are optimally used,performance is enhanced,and costs are *** purpose of this paper is to discuss how to Fitness Calculate Values(FCVs)to provide application software with a reliable solution during the initial stages of load *** cloud computing environment is the subject of this *** consists of both physical and logical components(most notably cloud infrastructure and cloud storage)(in particular cloud services and cloud platforms).This intricate structure is interconnected to provide services to users and improve the overall system’s *** case study is one of the most important segments of cloud computing,i.e.,Load *** paper aims to introduce a new approach to balance the load among Virtual Machines(VM’s)of the cloud computing *** proposed method led to the proposal and implementation of an algorithm inspired by the bat algorithm(BA).This proposed Modified bat algorithm(MBA)allows balancing the load among virtual *** proposed algorithm works in two variants:MBA with Overloaded Optimal Virtual Machine(MBAOOVM)and Modified bat algorithm with Balanced Virtual Machine(MBABVM).MBA generates cost-effective solutions and the strengths of MBA are finally validated by comparing it with bat algorithm.

关键词： bat algorithm cloud computing fitness value calculation load balancing modified bat algorithm

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A novel bat algorithm with habitat selection and Doppler effect in echoes for optimization

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EXPERT SYSTEMS WITH APPLICATIONS 2015年第17-18期42卷 6350-6364页

作者： Meng, Xian-Bing Gao, X. Z. Liu, Yu Zhang, Hengzhen Shanghai Maritime Univ Coll Informat Engn Shanghai 201306 Peoples R China Aalto Univ Sch Elect Engn Dept Elect Engn & Automat FI-00076 Aalto Finland Chengdu Green Energy & Green Mfg R&D Ctr Chengdu 610200 Peoples R China

A novel bat algorithm (NBA) is proposed for optimization in this paper, which focuses on further mimicking the bats' behaviors and improving bat algorithm (BA) in view of biology. The proposed algorithm incorporates the bats' habitat selection and their self-adaptive compensation for Doppler effect in echoes into the basic BA. The bats' habitat selection is modeled as the selection between their quantum behaviors and mechanical behaviors. Having considered the bats' self-adaptive compensation for Doppler effect in echoes and the individual's difference in the compensation rate, the echolocation characteristics of bats can be further simulated in NBA. A self-adaptive local search strategy is also embedded into NBA. Simulations and comparisons based on twenty benchmark problems and four real-world engineering designs demonstrate the effectiveness, efficiency and stability of NBA compared with the basic BA and some well-known algorithms, and suggest that to improve algorithm based on biological basis should be very efficient. Further research topics are also discussed. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： bat algorithm Habitat selection Doppler effect in echoes Mechanical behavior Quantum behavior Optimization

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Chaotic bat algorithm

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JOURNAL OF COMPUTATIONAL SCIENCE 2014年第2期5卷 224-232页

作者： Gandomi, Amir H. Yang, Xin-She Univ Akron Dept Civil Engn Akron OH 44325 USA Middlesex Univ Sch Sci & Technol London NW4 4BT England

bat algorithm (BA) is a recent metaheuristic optimization algorithm proposed by Yang. In the present study, we have introduced chaos into BA so as to increase its global search mobility for robust global optimization. Detailed studies have been carried out on benchmark problems with different chaotic maps. Here, four different variants of chaotic BA are introduced and thirteen different chaotic maps are utilized for validating each of these four variants. The results show that some variants of chaotic BAs can clearly outperform the standard BA for these benchmarks. (C) 2013 Elsevier B.V. All rights reserved.

关键词： bat algorithm Chaos Metaheuristic Global optimization

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