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A dynamic method for feeder reconfiguration and capacitor switching in smart distribution systems

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2017年第0期85卷 200-211页

作者： Ameli, Amir Ahmadifar, Amir Shariatkhah, Mohammad-Hossein Vakilian, Mehdi Haghifam, Mahmoud-Reza Sharif Univ Technol Dept Elect Engn Tehran Iran Iran Univ Sci & Technol Dept Elect Engn Tehran Iran Tarbiat Modares Univ Elect & Comp Engn Dept Tehran Iran

In distribution systems, feeder reconfiguration (FR) can lead to loss reduction, reliability improvement and some other economic savings. These advantages can be intensified by proper control and switching of Capacitor Banks (CBs). In this paper, using Ant Colony Optimization (ACO) technique, a novel method is proposed for simultaneous dynamic scheduling of FR and CB switching in the presence of DG units having uncertain and variant generations over time. This method is applicable to both smart and classic distribution systems. While for the latter, state estimation method should be used to estimate the loads at different buses by employing a limited number of measurements. The objective of this method is to minimize the total operational cost of the grid, including the cost of power purchase from the sub transmission substation, cost of customer interruption penalties, Transformers Loss of Life (TLoL) expenses, and the switching costs (CBs and disconnecting switches). To perform this study, the planning period is divided into several intervals for each of them the network topology and CBs reactive power are determined to satisfy the objective function. Additionally, due to the curse of dimensionality, a Case Reduction Technique (CRT) is proposed in order to decrease the computational burden of the proposed method. Finally, the efficiency of the proposed method is verified through its application on the IEEE 118-bus distribution test system, and evaluating its economic and operational characteristics. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Feeder reconfiguration Capacitor switching harmony search algorithm Ant colony optimization Power distribution economic

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Solar Position Acquisition Method for Polarized Light Navigation Based on ∞ Characteristic Model of Polarized Skylight Pattern

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IEEE ACCESS 2020年 8卷 56720-56729页

作者： Liu, Bianbian Fan, Zhiguo Wang, Xianqiu Hefei Univ Technol Minist Educ Key Lab Knowledge Engn Big Data Hefei 230601 Peoples R China Hefei Univ Technol Sch Comp Sci & Informat Engn Hefei 230601 Peoples R China

Inspired by the use of polarized information for navigation behaviors in nature, many researchers have carried out a lot of researches on bionic polarized light navigation. Due to the complexity of the atmospheric radiation transmission process, there is a lot of uncertainty for the bionic polarized light navigation method that accurately calculates the polarization information of the polarized skylight pattern pixel by pixel. This paper studies the distribution of the polarized skylight pattern under different weather conditions through a large number of observational experiments. It is found that the distribution of the angle of polarization shows a stable infinity characteristic, which can reflect the macro distribution characteristics and changing laws of the polarized skylight pattern. This paper extracts the infinity characteristic from the polarization angle image, then we establish a model of infinity characteristic to solve the solar position by calculating the feature similarity indexes between the measured infinity characteristic images and Rayleigh infinity characteristic images. And we propose an improved harmony search algorithm to solve the optimal solution of the model. By searching in the Rayleigh infinity characteristic image database, the solution vector corresponding to the Rayleigh infinity characteristic image with the highest feature similarity index is the solar position. In this paper, experiments are performed on measured polarized images under sunny and cloudy weather, and the experimental results verify the effectiveness of the proposed algorithm.

关键词： Polarized light navigation solar position polarized skylight pattern harmony search algorithm Rayleigh model

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Simulation and optimization of Lar Dam reservoir storage under climate change conditions

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JOURNAL OF WATER AND CLIMATE CHANGE 2023年第12期14卷 4336-4355页

作者： Sadeghijou, Hediyeh Sarraf, Amirpouya Ahmadi, Hassan Islamic Azad Univ Civil Engn Dept Roudehen Branch Roudehen Iran

In this research, the impact of climate change in the next 15 years (2036-2022) in the (LarDam) area has been investigated. The results showed that in the case of climate change under scenarios RCP2.6, RCP4.5, RCP8.5, the maximum temperature and the minimum temperature have increased by5, 5.23, 6.2% and 3.5, 5.6, 5.17%, respectively, and the amount of precipitation increased by 8.55, 9.5, 13%, respectively. Also, the highest rainfall will be in 2031 and the lowest will be in 2036. Then, based on the intermediate state of the scenarios, i.e. RCP4.5 scenario, the amount of runoff was obtained and the reliability index was calculated according to the upstream runoff of Lar Dam and downstream needs for drinking, agriculture, and environment. The simulation was also performed in the WEAP model. The obtained reliability showed that the highest reliability was 86.60% of the agriculture needs in the WEAP model, and by using the optimization of a honey badger and harmonic search algorithms, it was found that the reliability is approximately 5.06 and 1.73% higher than the reliability of the simulation, respectively. Moreover, in comparison with the optimization algorithms, due to the smaller value of the objective function of the honey badger algorithm and the greater reliability of this algorithm in optimizing downstream needs, it can be concluded that the performance of this algorithm was better than the harmonic search algorithm. The honey badger algorithm has a faster calculation speed than the harmony search algorithm with less execution time.

关键词： climate change climate scenarios harmony search algorithm Honey Badger algorithm WEAP model

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Power system frequency control enhancement by optimization of wind energy control system

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AIN SHAMS ENGINEERING JOURNAL 2021年第4期12卷 3711-3723页

作者： Soliman, Mohammad H. Talaat, Hossam E. A. Attia, Mahmoud A. Ain Shams Univ Elect Power & Machines Dept Cairo Egypt Future Univ Egypt Elect Engn Dept Cairo Egypt

Future trends are increasingly directed towards replacing traditional energy sources by new and renewable energy ones, with Wind Energy coming first in the row of these sources worldwide. The Egyptian electric power system still has a relatively low penetration level, around 3%, of Wind Energy to its generation mix. However, it is planned to increase this ratio to 14.6% by the year 2035. This paper studies the frequency dynamics associated with significant penetration levels of Wind Energy into the Egyptian grid, which leads to reducing the overall system inertia. The control strategy adopted depends on maximizing the wind energy contribution to frequency control, in order to compensate that reduction of system inertia. The Real data of the Egyptian power system model used is verified by the National Electricity Control Centre, updated to the latest values declared and tested under the lowest and highest loads recorded. A modified control loop is added to the control system in order to allow the Wind Energy Conversion System to significantly contribute to the Load Frequency Control. The PI controller gains used in that loop are tuned using three methods;Local Unimodal Sampling, harmony search algorithm and Equilibrium Optimizer (EO). The Equilibrium Optimizer (EO) proved its superiority to the other methods, as it gave the best dynamic response. The simulated results are presented using MATLAB/SMULINK. (C) 2021 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Ain Shams University.

关键词： Wind Energy Frequency control Doubly Fed Induction Generator Local unimodal sampling harmony search algorithm

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A Coordinated Framework of DG Allocation and Operating Strategy in Distribution System for Configuration Management under Varying Loading Patterns

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ELECTRIC POWER COMPONENTS AND SYSTEMS 2020年第1-2期48卷 12-29页

作者： Kumar, Pawan Ali, Ikbal Thomas, Mini Shaji Singh, Surjit Thapar Inst Engn Technol Elect & Instrumentat Engn Dept Patiala 147004 Punjab India Jamia Millia Islamia Fac Engn Technol Dept Elect Engn New Delhi India Natl Inst Technol Tiruchirappalli Tamil Nadu India Thapar Inst Engn Technol Comp Sci & Engn Dept Patiala Punjab India

The distributed generation (DG) planning with the varying pattern of the practical load is difficult as it calls for the frequent changes in DG size and system configuration, which is neither feasible nor permissible. Rather such a DG size and a configuration, which can be utilized over a wider load pattern, are more acceptable. This work presents a coordinated approach for DG planning and system reconfiguration. While to operate a particular DG size and the system configuration over a wide range of loading pattern, the configurations are ranked under different probabilistic loading patterns. Based upon the ranking of the new configuration, the energy performance of the coordinated planning is evaluated. Further, the observations from coordinated planning are imposed on coordinated operation using harmony search algorithm (HSA). The proposed approach is tested for single as well as multi-objectives on a 33-node system. A significant improvement in the computational efforts and energy performance of the resulting configuration have been observed where losses have reduced to 81.11 and 53.77 kW with single DG and multi-DG allocation respectively.

关键词： coordinated operation coordinated planning DG allocation loading patterns operating strategies configuration ranking network reconfiguration performance indices probabilistic constant factor power distribution system harmony search algorithm

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Modelling and solving algorithm for two-stage scheduling of construction component manufacturing with machining and welding process

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INTERNATIONAL JOURNAL OF PRODUCTION REsearch 2018年第19期56卷 6378-6390页

作者： Meng, Ronghua Rao, Yunqing Zheng, Yun Qi, Dezhong Huazhong Univ Sci & Technol State Key Lab Digital Mfg Equipment & Technol Wuhan Hubei Peoples R China Hubei Univ Technol Hubei Agr Machinery Engn Res & Design Inst Wuhan Hubei Peoples R China

This paper focuses on a two-stage machining and welding scheduling problem based on an investigation at a structural metal manufacturing plant, aiming to minimise the total makespan. Several parts processed at Stage one according to classical job-shop scheduling are grouped into a single construction component at the second welding stage. Fabrication of the construction component cannot begin until all comprising parts have been completed at Stage one. This paper establishes a novel mathematic model to minimise the total makespan by mainly considering the dominance relationship between the construction component and the corresponding parts. In order to solve this two-stage problem, we propose an improved harmony search algorithm. A local search method is applied to the best vector at each iteration, so that a more optimal vector can be subsequently realised. The average value, minimum value, relative percentage deviation and standard deviation are discussed in the experimental section, and the proposed local best harmony search algorithm outperforms the genetic algorithm, immune algorithm and harmony search algorithm without local search. Moreover, six optimal solutions are given as Gantt charts, which vividly illustrate that the mathematical model established in this paper can facilitate the development of a better scheduling scheme.

关键词： construction component manufacturing job-shop scheduling makespan harmony search algorithm local search

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Traffic Light Scheduling for Pedestrian-Vehicle Mixed-Flow Networks

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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2019年第4期20卷 1468-1483页

作者： Zhang, Yi Gao, Kaizhou Zhang, Yicheng Su, Rong Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore

This paper presents a macroscopic model for pedestrian-vehicle mixed-flow network and a traffic signal scheduling strategy for both pedestrians and vehicles. We first propose a novel mathematical model of pedestrians crossing a junction. By combining a link-based vehicle network model, a traffic light scheduling problem is formulated with the aim to strike a good balance between pedestrians' needs and vehicle drivers' needs. The problem is first converted into a mixed-integer linear programming (MILP) problem via a novel transformation procedure, which is solvable by several existing solvers, e.g., GUROBI. Then a meta-heuristic method called discrete harmony search (DHS) algorithm is also adopted to reduce the computational complexity in MILP. Numerical simulation results are provided to illustrate the effectiveness of our real-time traffic light scheduling strategy for pedestrians and vehicles, and the potential impact of the pedestrian movement to the vehicle traffic flows.

关键词： Urban traffic signal scheduling macroscopic pedestrian flow model macroscopic vehicle flow model mixed logical constraints mixed integer linear programming harmony search algorithm

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An interval optimization based day-ahead scheduling scheme for renewable energy management in smart distribution systems

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ENERGY CONVERSION AND MANAGEMENT 2015年 106卷 584-596页

作者： Chen, Chun Wang, Feng Zhou, Bin Chan, Ka Wing Cao, Yijia Tan, Yi Hunan Univ Coll Elect & Informat Engn Changsha 410082 Hunan Peoples R China Hong Kong Polytech Univ Dept Elect Engn Hong Kong Hong Kong Peoples R China

The integration of renewable energy generation into distribution systems has a significant influence on network power losses, nodal voltage profile and security level due to the variability and uncertainty of renewable energy generation. This paper proposes a novel interval optimization based day-ahead scheduling model considering renewable energy generation uncertainties for distribution management systems. In this approach, the forecasting errors of wind speed, solar radiation intensity and loads are formulated as interval numbers so as to avoid any need for accurate probability distribution. In this model, the total nodal voltage deviation and network power losses are optimized for the economic operation of distribution systems with improved power quality. Consequently, the order relation of interval numbers is used to transform the proposed interval optimal scheduling model into a deterministic optimization problem which can then be solved using the harmony search algorithm. Simulation results on 33-node and 119-node systems with renewable energy generation showed that considerable improvements on system nodal voltage profile and power losses can be achieved with multiple interval sources of uncertain renewable energy generation and loads. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： Day-ahead scheduling scheme Distribution management systems harmony search algorithm Interval optimization Renewable energy generation

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Integration of classifier diversity measures for feature selection-based classifier ensemble reduction

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SOFT COMPUTING 2016年第8期20卷 2995-3005页

作者： Yao, Gang Zeng, Hualin Chao, Fei Su, Chang Lin, Chih-Min Zhou, Changle Xiamen Univ Sch Informat Sci & Engn Dept Cognit Sci Fujian Prov Key Lab Machine Intelligence & Robot Xiamen 361005 Peoples R China Yuan Ze Univ Dept Elect Engn Taoyuan Taiwan

A classifier ensemble combines a set of individual classifier's predictions to produce more accurate results than that of any single classifier system. However, one classifier ensemble with too many classifiers may consume a large amount of computational time. This paper proposes a new ensemble subset evaluation method that integrates classifier diversity measures into a novel classifier ensemble reduction framework. The framework converts the ensemble reduction into an optimization problem and uses the harmony search algorithm to find the optimized classifier ensemble. Both pairwise and non-pairwise diversity measure algorithms are applied by the subset evaluation method. For the pairwise diversity measure, three conventional diversity algorithms and one new diversity measure method are used to calculate the diversity's merits. For the non-pairwise diversity measure, three classical algorithms are used. The proposed subset evaluation methods are demonstrated by the experimental data. In comparison with other classifier ensemble methods, the method implemented by the measurement of the interrater agreement exhibits a high accuracy prediction rate against the current ensembles' performance. In addition, the framework with the new diversity measure achieves relatively good performance with less computational time.

关键词： Classifier ensemble reduction Classifier diversity Classifier performance evaluation harmony search algorithm

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Power Loss Minimization in Distribution System Using Network Reconfiguration in the Presence of Distributed Generation

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IEEE TRANSACTIONS ON POWER SYSTEMS 2013年第1期28卷 317-325页

作者： Rao, R. Srinivasa Ravindra, K. Satish, K. Narasimham, S. V. L. JNT Univ Dept Elect & Elect Engn Kakinada India JNT Univ Dept Comp Sci & Engn Sch Informat Technol Hyderabad Andhra Pradesh India

This paper presents a new method to solve the network reconfiguration problem in the presence of distributed generation (DG) with an objective of minimizing real power loss and improving voltage profile in distribution system. A meta heuristic harmony search algorithm (HSA) is used to simultaneously reconfigure and identify the optimal locations for installation of DG units in a distribution network. Sensitivity analysis is used to identify optimal locations for installation of DG units. Different scenarios of DG placement and reconfiguration of network are considered to study the performance of the proposed method. The constraints of voltage and branch current carrying capacity are included in the evaluation of the objective function. The method has been tested on 33-bus and 69-bus radial distribution systems at three different load levels to demonstrate the performance and effectiveness of the proposed method. The results obtained are encouraging.

关键词： Distributed generation distribution system harmony search algorithm real power loss reconfiguration voltage profile

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