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A Method for Determining Access Node of Microwave Relay network Based on Genetic Algorithm 3

A Method for Determining Access Node of Microwave Relay Netw...

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3rd International conference on Artificial Intelligence, Automation and control Technologies (AIACT)

作者： Qi, Ji Chen, Kebin Natl Univ Def Technol Coll Informat & Commun Wuhan 430019 Hubei Peoples R China

In order to improve the deployment efficiency of the microwave relay network, a method for determining access node of microwave relay network based on genetic algorithm is proposed in this paper. System analysis of network structure characteristics, node attributes and deployment process, the access node deployment issues is transformed into continuous area location issues. After discretization the area, the set of candidate access nodes is obtained considering boundary points and boundary chords. Comparing the coverage set of each access node, the candidate set is de-redundancy. Then taking coverage ratio maximum and the deployment cost minimum as the optimization goal, the optimal set of access nodes is obtained from candidate set by using genetic algorithm. A case with 50 user terminals is simulated by our method. Results show that after de-redundancy and genetic algorithm calculation, the number of access nodes is optimized from 240 to 17, and only 9 user terminals are repeated covered by different access node.

关键词： Genetic algorithms

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Topology optimization of Tactical Communication network with SMS-EMOA Algorithm 3

Topology Optimization of Tactical Communication Network with...

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3rd IEEE Advanced Information Management, Communicates, Electronic and Automation control conference, IMCEC 2019

作者： Bin, Zhang Zhi-Chun, Gan Yuan, Chen National University of Defense Technology Departments of Information and Communication China

ISBN: (纸本)9781728105130

network topology planning is the basis of tactical communication network planning. network topology optimi-zation is of great significance in tactical communication network node configuration, network architecture construction, networking application, etc. When excute network topology optimization, multiple possible indicators/objectives which may even conflict with eachother have to be considered. In this paper, we select two negative-correlation indicators as network efficiency and network invulnerability. Based on the classical multi-objective evolutionary algorithm SMS-EMOA, with node number and each node's degree unchanged strategy, this thesis implemente details of tactical communication network initial population generation, network individual crossover, mutation, pruning and other genetic procedures. The connection relationship, network flexibility and topology structure are analyzed in each optimization direction through simulation. Analysis and network structure topology visualization show that the proposed method can significantly improve the network invulnerability and network efficiency of the initial network population at the same time, which proves the proposed method's effectivity in tactical communication network topology optimization. © 2019 IEEE.

关键词： Topology

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Fluid Flow Sensors Design Based on Electromagnetic Drag Effect 3

Fluid Flow Sensors Design Based on Electromagnetic Drag Effe...

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3rd International conference on control, Artificial Intelligence, Robotics and optimization, ICCAIRO 2019

作者： Zeyde, Kirill Sharov, Vadim Department of Radio Electronics and Telecommunication Ural Federal University Ekaterinburg Russia

ISBN: (纸本)9781728135724

In this paper, we describe the possibility of establishing the effect of electromagnetic drag on the microwave range. We are conducting an initial study of the use of this effect for novel fluid flow sensors designing. Two different experimental stands on circular and rectangular waveguides are considered. The study is carried out using a vector network analyzer at frequencies of 8-12 GHz (X-band). Distilled water is used as a moving medium. The experiment is optimized on the basic parameters (including the temperature of the liquid) to obtain the maximum magnitude of the target observation effect. As an optimization criterion, the difference of the arrival phase of two coherent waves propagating in identical media is used, one of which has a translational motion, and the second is at rest. In conclusion, findings are presented describing the main optimization results. The principle of detecting the effect of drag on guided waves in the transmission lines is set. As a sensor test experiment, a scheme using a signal analyzer is provided. © 2019 IEEE.

关键词： Electric network analyzers

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optimization of Low Power Wireless Sensor network Lifetime Using Improved Clone Elite Monkey Algorithm 3

Optimization of Low Power Wireless Sensor Network Lifetime U...

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3rd International conference on Artificial Intelligence, Automation and control Technologies (AIACT)

作者： Lu, Yi Zhou, Jie Xu, Mengying Shihezi Univ Coll Informat Sci & Technol Shihezi 832000 Peoples R China Xinjiang Tianfu Informat Technol Co Ltd Shihezi Peoples R China

Recent advances in efficient software algorithms, electronics and networking technologies have promoted the development of low computational complexity, low-cost, low storage, and intelligent tiny nodes. Low power wireless sensor networks (LPWSNs) are composed of some sensing units with limited communications as well as sensing capabilities. LPWSNs are approaches in a good deal of domains such as traffic control, automated assistance for the elderly monitors and so on. Recently network lifetime optimization has been receiving a lot of attention for wide applications of LPWSNs. Achieving a longer network lifetime under the restricted power source has a large calculation difficulty, which can be regard as an NP-hard problem. An improved clone elite monkey algorithm (ICEMA) to determine the network lifetime optimization in LPWSNs is given. In this paper, in order to achieve maximum network lifetime with full coverage, we first build a system model to calculate a better network lifetime. It is designed to increment the lifetime of the nodes for LPWSNs. The ICEMA has many advantages by combining the clone strategy as well as elite strategy. The simulations verify the robust and efficiency of ICEMA when compared with strategies based on evolutionary algorithm (EA), particle swarm algorithm (PSO) and artificial fish swarm algorithm (AFSA) under a LPWSNs conditions. The outcomes demonstrate that the proposed ICEMA can achieve a longer network lifetime than EA, PSO and AFSA while taking the same computational complexity.

关键词： Wireless sensor networks Monkey algorithm Duty cycle design network lifetime

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optimization and control of Wireless Rechargeable Sensor network Based on Intelligent Algorithm

Optimization and Control of Wireless Rechargeable Sensor Net...

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World conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)

作者： Jinfu Liu Fan Feng School of Automation Wuhan University of Technology Wuhan China

ISBN: (纸本)9781665441094;9781665431125

Aiming to optimize the charging scheme and deployment cost of wireless rechargeable sensor network when the node coordinates are given. We first establish a TSP charging route model of a single mobile charger, use an improved ant colony algorithm to deal with the problem of the nearest charging route, and then establish an aperiodic greedy charging model based on the imbalance of sensor energy consumption of the shortest charging path obtained. Two reasonable charging strategies and a variable step size adaptive algorithm are used to search for the minimum battery capacity required for the sensor to work normally, so as to optimize the entire wireless rechargeable sensor network. The simulation using the data provided by MMCT indicates that the model and algorithm are able to commendably control the normal operation of the sensor network and reduce the operating cost of the entire network.

关键词： Wireless communication Wireless sensor networks Adaptation models Energy consumption Data models Manufacturing Batteries

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Enhanced Automatic generation control of two area power system with Jaya algorithm 3

Enhanced Automatic generation control of two area power syst...

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3rd International conference on Electronics and Communication and Aerospace Technology, ICECA 2019

作者： Kumari, Vipul Nayar, Saurabh Raj, Rajdeepak Singh Department of Electrical and Electronics Engineering Birla Institute of Technology Ranchi India

ISBN: (纸本)9781728101675

Automatic generation control (AGC) scheme is formulated to regulate output power of more than one generator installed at different power plant in reaction to variation in demand of load. This paper aspires to the arrangement of Proportional Integral Derivative (PID) controllers for two area power system network coupled together. PID controller has been used by most of the researchers in two area power system network. The issue of design a PID controller economically flexible and robust and tuning parameter is open. This paper presents an improved PID profit by JAYA Algorithm. Jaya algorithm is a new optimization technique in which less number of parameters are required for its implementation. AGC has been developed for two area power system network employing Jaya algorithm based PID controller. The errors between desired and actual frequency response are calculated by means of Mean Square Error (MSE). MATLAB/ Simulation result reveals that AGC of both area power system network with Jaya algorithm based PID controller assist to accomplish the frequency response. © 2019 IEEE.

关键词： Three term control systems

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Combination and Application of Virtual Power Plant, Microgrid and Demand Response Technology in Multi-court Distribution network for Energy Use optimization 3

Combination and Application of Virtual Power Plant, Microgri...

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3rd IEEE conference on Energy Internet and Energy System Integration, EI2 2019

作者： Niu, Geng Su, Jian Wu, Ming Kou, Lingfeng Qu, Xiaoyun Li, Yijin China Electric Power Research Institute Beijing China School of Mechanical Electronic and Information Engineering Beijing China

ISBN: (数字)9781728131375

ISBN: (纸本)9781728131375

The energy use optimization can effectively improve the comprehensive operational benefit of the distribution court. Nowadays, the energy use optimization in distribution court is facing serious challenges under the background of large scale DG coupling. The global optimization of the energy use in distribution network with multiple distribution courts is more difficult. In order to solve this problem, a comprehensive solution is proposed in this paper. The goals for energy use optimization in the distribution court are firstly discussed. The virtual power plant technology, microgrid technology and demand response technology are introduced and compared. By combining and applying the three key supporting technologies, an idea is proposed for the energy use optimization in the multi-court distribution network. The structural composition, functional framework and optimal control of the multi-court distribution network for the idea implementation are illustrated. Finally, a conclusion and an outlook is given. © 2019 IEEE.

关键词： Virtual Power Plants

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Coordinated control of Active and Reactive Power of Distribution network with Distributed Photovoltaic Based On Scene Analysis 3

Coordinated Control of Active and Reactive Power of Distribu...

引用

3rd IEEE International Electrical and Energy conference (CIEEC)

作者： Zhao, Liang Tang, Yunfeng Zhang, Ying China Agr Univ Coll Informat & Elect Engn Beijing Peoples R China China Elect Power Res Inst Beijing Peoples R China

ISBN: (纸本)9781728116754

Variables such as distributed generation (DG) output and load demand have randomness and volatility, brings large challenges to operation and control of distribution network. In order to solve this problem, this paper generates multiple scene samples through Latin hypercube sampling (LHS) based on mathematical distribution model of variables, then reduces the scene samples by K-means clustering, typical scenes and the probability of each typical scene are obtained. Considering the adjustable capabilities of distributed photovoltaic (PV) and energy storage system (ESS), a multi-objective optimization model based on scene analysis for coordinated control of active and reactive power in distribution network is established, and the mixed integer nonlinear programming model is solved by second-order cone relaxation (SOCR) technique. Finally, the improved IEEE 33-node system is taken as an example for simulation with results confirming accuracy and rationality of the proposed algorithm.

关键词： distributed generation scene analysis coordinated control of active and reactive power second-order cone relaxation

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Coordinated central and local voltage control in low voltage distribution network with photovoltaic generation 3

Coordinated central and local voltage control in low voltage...

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3rd IEEE International Electrical and Energy conference (CIEEC)

作者： Yin, Feng Zhao, Puzhi Wang, Yue Li, Zhuocheng Wang, Yang Xiao, Xianyong State Grid Xinjiang Elect Power Co Ltd Urumqi Xinjiang Peoples R China Bortala Power Supply Co Urumqi Xinjiang Peoples R China Sichuan Univ Coll Elect Engn Chengdu Peoples R China

ISBN: (纸本)9781728116754

High proportion of integrated photovoltaic (PV) in the low-voltage distribution network (LVDN) can lead to overvoltage problem because of the reverse power flow, which is harmful to electrical devices and PV units. Using PV's own reactive power absorption capacity becomes a mainstream solution since it doesn't need extra investment. In this paper, a coordinated central and local voltage control method based on reactive power control of PV inverter is proposed, which combines the characteristics of quick response and optimization. The result of case study shows that the proposed method can mitigate overvoltage problem effectively either in clear day or cloud day, meanwhile, unnecessary reactive power absorption is avoided.

关键词： photovoltaic overvoltage low voltage distribution network reactive power control

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Distributed AC Optimal Power Flow with Resilience from Communication Failure in MMG Systems 3

Distributed AC Optimal Power Flow with Resilience from Commu...

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3rd International conference on Smart Grid and Smart Cities (ICSGSC)

作者： Asarias, Fredmar N. Pedrasa, Michael Angelo A. Univ Philippines Diliman Elect & Elect Engn Inst Quezon City Philippines Adv Sci & Technol Inst Dept Sci & Technol Quezon City Philippines

ISBN: (纸本)9781728138480

A shift in power system control paradigm from centralized to a distributed framework has been evident for the past years. With the adoption of Distributed Energy Resources (DER) in the grid and the formation of the concept of microgrid (MG) that is now extended to the cooperation of multiple MGs to form Multi-Microgrid (MMG) systems, a distributed control framework has deemed to be more feasible for such systems. However, distributed control relies heavily on communication to achieve the system objective that in reality is not perfect at all times. In this paper, a fully distributed AC Optimal Power Flow (OPF) control algorithm with resilience from failure of communication infrastructure is presented. In the algorithm, missing parameters are estimated using time-series estimation methods and an additional control layer is added to ensure supply-demand balance in the system. The algorithm was tested in different network configurations of a MMG system with different degrees of communication failure and the results show that using the control algorithm, the system was able to achieve supply-demand balance at the least possible cost of generation.

关键词： Distributed AC OPF Distributed control Distributed optimization Microgrids Multi-Microgrids

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