检索结果-内蒙古大学图书馆

9th Iranian Conference on Renewable Energy and Distributed Generation (ICREDG)

作者： Akbari, Ehsan Mazandaran Univ Sci & Technol Fac Elect & Comp Engn Babol Iran

ISBN: (纸本)9781665405652

Two performance modes, connected to grid and grid independent, can be considered for microgrids. In connected mode, the grid voltage and frequency are controlled by the grid and the microgrid controls the exchange of electrical power with the grid. In a standalone mode where there is no connection between the microgrid and the main grid, the microgrid is responsible for regulating voltage and frequency. One of the critical issues of microgrids, in a separate state from the power system, is frequency and voltage control. In this paper, the improvement of microgrid control performance in the field of voltage and frequency is investigated. voltage and frequency control are investigated to improve the performance of the micro-grid. Different types of distributed generation (DG) have been used to investigate and improve voltage stability. A new combination of teaching-learning based optimization (TLBO) and harmonic search algorithm (HSA) has been used for optimal performance in islanded Microgrid. Performance optimization is accomplished by finding the optimal parameters for the droop coefficient of the distributed generation resources and the reliability of the wind units in order to reduce the cost of generated energy. Optimization is defined as a multi-objective problem, and the objective functions are used to minimize fuel consumption of distributed generation and improve the voltage characteristic and microgrid stability of operating and protection constraints. System steady state frequency, reference frequency, droop coefficients and reference voltage of the distributed generation unit are considered as optimization variables. The proposed method is compared with other methods for the 33-bus microgrid using MATLAB software. The simulation results show that the proposed method improves the performance of the microgrid.

关键词： Teaching-learning-based optimization algorithm harmonic search algorithm Microgrid Islanded

来源：评论

学校读者我要写书评

暂无评论

Analysis on energy consumption in smart grid WSN using path operator calculus centrality based HSA-PSO algorithm

引用

SOFT COMPUTING 2020年第14期24卷 10771-10783页

作者： Hemalatha, R. Prakash, R. Sivapragash, C. Anna Univ Chennai 600025 Tamil Nadu India Muthayammal Engn Coll Dept Elect & Elect Engn Rasipuram 637408 Tamil Nadu India Swarnandhra Coll Engn & Technol Dept Elect & Elect Engn Narsapur 534280 Andhra Pradesh India

In this paper, the consumption of energy is efficiently balanced using the high searching capability of harmony search algorithm (HSA). However, centrality in finding the route is considered as an utmost challenge in finding the important node in WSN. Hence, the path operator calculus centrality (SPOCC) is used to optimize the centrality problems in routing. The SPOCC finds the main routing path using HSA, and high centrality node is estimated by particle swarm optimization (PSO) algorithm, thereby ensuring optimal routing with reduced energy consumption. The utilization of PSO improves the lifetime of nodes using its dynamic capability. The performance of the proposed hybrid algorithm is evaluated using the various result metrics in smart grid outdoor transmission environment. The results show that the proposed hybrid algorithm obtains better improvement in terms of reduced delay and high residual energy than the existing algorithms.

关键词： Path Operator Calculus Centrality harmonic search algorithm Particle Swarm Optimization

来源：评论

学校读者我要写书评

暂无评论

Fuzzy Logic Based Metaheuristic algorithm for Optimization of Type-1 Fuzzy Controller: Fault-Tolerant Control for Nonlinear System with Actuator Fault ⁎

引用

IFAC-PapersOnLine 2022年第1期55卷 715-721页

作者： Himanshukumar R. Patel Vipul A. Shah Department of Instrumentation and Control Engineering Faculty of Technology Dharmsinh Desai University Nadiad-387001 Gujarat India

This research offers a fuzzy-based harmonic search (HS) metaheuristic technique for optimizing type-1 fuzzy controller for Fault-Tolerant Control (FTC) for nonlinear level control application subject to two uncertainties (i.e. actuator fault and external process disturbances), using type-1 and interval type-2 fuzzy-based HS algorithms. The effectiveness of a fuzzy logic-based adaptive HS algorithm in a nonlinear two-tank level control process with the primary actuator has dwindled (LOE). The work key contribution is the discovery of the best technique for constructing an optimal vector of values for the fuzzy controller’s membership functions (MFs) optimization. This is made to improve dynamic response by bringing the process value of the two-tank level control process close to the target process value (set-point). It’s worth noting that the type-1 fuzzy controller’s optimized MFs use an interval type-2 fuzzy system for parameter adaptation of the HS algorithm, which can handle greater uncertainty than a type-1 fuzzy system. In this case, the limiting MFs of interval type-2 fuzzy sets are type-1 fuzzy sets, which defne the footprint of uncertainty (FOU). Simulation results show that FHSO using an interval type-2 fuzzy system outperforms FHSO using a type-1 fuzzy system in the optimal design of a type-1 fuzzy controller.

关键词： harmonic search algorithm Fuzzy controller Type-2 fuzzy system Fuzzy sets

来源：评论

学校读者我要写书评

暂无评论

Improved energy efficient WSN using ACO based HSA for optimal cluster head selection

引用

PEER-TO-PEER NETWORKING AND APPLICATIONS 2020年第4期13卷 1102-1108页

作者： Poonguzhali, P. K. Ananthamoorthy, N. P. Hindutshan Coll Engn & Technol Dept Elect & Commun Engn Coimabatore Tamil Nadu India Hindutshan Coll Engn & Technol Dept Elect & Elect & Engn Coimabatore Tamil Nadu India

In recent era, increased consumption of energy in the wireless sensor network (WSN) is considered as a critical issue. The main constraints associated with these networks is the lower transmission range, reduced battery power and reduced memory requirement. There are very few designs that concentrates on designing newer routing protocol that considers these parameters for optimal selection of routes to reduce the energy consumption. With such aim, the proposed method designs a new routing protocol with optimal parameter selection. In addition, the study considers faster transmission of packets without losing the data accuracy. The network is divided into clusters, where the cluster center (center of the circle) is assumed to have minimum density in its own cluster. A path based clustering using Ant Colony Optimization (ACO) is used for this purpose. Here, the minimum density cluster is selected using harmonic search algorithm (HSA). The ACO combined with HSA finds the optimal cluster head with minimum routing path with reduced energy consumption. The validation of the proposed method is carried out against ACO-Fuzzy, max-min ACO, mACO and ACO in terms of various performance metrics. The result shows that the proposed method achieves higher network throughput, maximum network lifetime and reduced consumption of energy than other methods.

关键词： Energy efficient WSN WSN routing Ant Colony optimization harmonic search algorithm

来源：评论

学校读者我要写书评

暂无评论

Reactive power optimisation of distribution network with dispersed wind farm

引用

The Journal of Engineering 2017年第13期2017卷 1983-1987页

作者： Duan Jiandong Xue Bing Chen Lupeng Department of Electrical Engineering Xi'an University of Technology Shaanxi People's Republic of China

Environmental pollution and energy shortage have resulted in a recent strong demand for distribution networks to accept renewable clean energy. As an important part of distributed generations, dispersed wind power with its clean and flexible characteristics has been an important focus of domestic and foreign entities. In this paper, the voltage deviation model and the maximum wind power real-time penetration model were established as the two objective functions, and the reactive power output of wind farms was considered to regulate the voltage. The harmonic search algorithm was used to solve the model, simulation test with IEEE33 node system model was carried out, and the results show that the established optimisation model as well as its solution strategy can make full use of the reactive power output of wind farms to achieve the maximum wind power consumption.

关键词： optimisation distributed power generation wind power distribution networks power generation control wind power plants reactive power foreign entities voltage deviation model real-time penetration model reactive power output wind farms harmonic search algorithm IEEE33 node system model established optimisation model maximum wind power consumption reactive power optimisation distribution network dispersed wind farm energy shortage recent strong demand renewable clean energy distributed generations dispersed wind power clean characteristics flexible characteristics important focus domestic entities

来源：评论

学校读者我要写书评

暂无评论

Optimal Operation Research of Distribution Network with High Penetration of Dispersed Wind Farm

Optimal Operation Research of Distribution Network with High...

引用

China International Conference on Electricity Distribution (CICED)

作者： Mu Teng Duan Jiandong Yan Fuping Chen Lupeng Wang Kaiyu Xian Univ Technol Dept Elect Engn Xian Shaanxi Provinc Peoples R China

ISBN: (纸本)9781467390682

Environmental pollution and energy shortage have resulted in a recent strong demand for distribution networks to accept renewable clean energy. As an important part of distributed generations, DWP wind power (DWP) with its clean and flexible characteristics has been an important focus of domestic and foreign entities. In this paper, high penetration optimal operation model for DWP wind farm (DWF) was established with taking the maximum wind power real-time penetration as the objective function, and the reactive power output of wind farms was considered to regulate the voltage. The harmonic search algorithm was used to solve the model, simulation test with IEEE33 node system model was carried out, and the results show that the established optimization model as well as its solution strategy can make full use of the reactive power output of wind farms to achieve the maximum wind power consumption.

关键词： DWP wind power high penetration harmonic search algorithm

来源：评论

学校读者我要写书评

暂无评论

Clustering and optimal routing in wireless sensor networks using Harmony search algorithm 2

Clustering and optimal routing in wireless sensor networks u...

引用

2nd International Conference on Knowledge Based Engineering and Innovation (KBEI)

作者： Sohrabpoor, Hasan Soltani, Zahra Sharifi Masoud, Pourmoradi Islamic Azad Univ Comp Chalus Iran

ISBN: (纸本)9781467365062

One of the main challenges in sensor networks is the enery used by these sensors and the most important reason for the energy consumption by sensors is transferring data, which has a direct relationship with distance. Researchers have proposed different algorithms so as to reduce the sonsors' energy consumption. One of these ways is optimal route-finding and reduction of the length of typical knots to central knots. One way to reduce the energy consumption is to cluster and organize the sensors. To do so, in the beginning, some sensors are randomly considered as the head and then these heads will recruit members considering their distance to other sensors. The number of members in clusters will be almost similar in order to restore balance in the number if the members. harmonic algorithm will help us have a thorough search on the space of the issue so that we can overcome the fundamental challenges in clustering the networks of wireless sensors through the performance of harmonic algorithm and change in the role of the head of a cluster.

关键词： wireless sensors network sensors central knot harmonic search algorithm route-finding optimizing head cluster cluster

来源：评论

学校读者我要写书评

暂无评论

Clustering and optimal routing in wireless sensor networks using Harmony search algorithm

Clustering and optimal routing in wireless sensor networks u...

引用

International Conference on Knowledge-Based Engineering and Innovation

作者： Hasan Sohrabpoor Zahra Sharifi Soltani Pourmoradi masoud Software Engineering Computer Islamic Azad University Chalus Iran

ISBN: (纸本)9781467365079

One of the main challenges in sensor networks is the energy used by these sensors and the most important reason for the energy consumption by sensors is transferring data, which has a direct relationship with distance. Researchers have proposed different algorithms so as to reduce the sonsors' energy consumption. One of these ways is optimal route-finding and reduction of the length of typical knots to central knots. One way to reduce the energy consumption is to cluster and organize the sensors. To do so, in the beginning, some sensors are randomly considered as the head and then these heads will recruit members considering their distance to other sensors. The number of members in clusters will be almost similar in order to restore balance in the number if the members. harmonic algorithm will help us have a thorough search on the space of the issue so that we can overcome the fundamental challenges in clustering the networks of wireless sensors through the performance of harmonic algorithm and change in the role of the head of a cluster.

关键词： component wireless sensors network sensors central knot harmonic search algorithm route-finding optimizing head chuster cluster

来源：评论

学校读者我要写书评

暂无评论

Optimal FACTS Location to Enhance Voltage Stability Using Multi-objective Harmony search

Optimal FACTS Location to Enhance Voltage Stability Using Mu...

引用

3rd International Conference on Electric Power and Energy Conversion Systems (EPECS)

作者： Laifa, Abdelaziz Medoued, Ammar Univ 20 Aout 1955 Skikda Dept Genie Elect Skikda Algeria

ISBN: (纸本)9781479906871;9781479906888

In this paper, a new multi-objective planning framework, namely Non-dominated Sorting Improved Harmony search (NSIHS), is presented, which is able to evaluate the impact of FACTS placement for an enhancement of voltage stability. It is based on the Improved HS algorithm which has been extended to the multi-objective optimization problem by non-dominated sorting and ranking with crowding distance strategy. Simulations are performed on IEEE 14 test system with FACTS controllers modeled for steady state studies. The approach is compared with Multi-Objective Particle Swarm Optimization (MOPSO) method. From the simulation results, it is clear that the proposed method is able to give better distributed Pareto-optimal solution than MOPSO method. It can then be a robust tool towards multi-objective optimization in power system management and planning.

关键词： Voltage Stability SVC TCSC FACTS location harmonic search algorithm Multi-objective Optimization

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：