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检索条件"主题词=Linear Programming"

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Design and Control of a Three-Phase Inverter with Voltage and Current Loops Using Multi-Objective Genetic Algorithm

Design and Control of a Three-Phase Inverter with Voltage an...

引用

International Renewable Energy Congress

作者： Asma Alfergani Faraj Al-Mehdawi Amna Buzakouk Ashraf Khalil Faisal Mohamed Electrical and Electronics Engineering Department University of Benghazi Benghazi Libya DTU Engineering Technology Technical University of Denmark Kongens Lyngby Authority of Natural Science Research and Technology Tripoli Libya

ISBN: (数字)9798331516772

ISBN: (纸本)9798331516789

This paper presents a study on how to control voltage and current in three-phase inverter systems, where a MATLAB/SIMULINK is used as simulation analysis tool. The proportional integral (PI) controllers are applied to achieve voltage and current control. To adjust the parameters of these controllers and obtain stable voltage and current, a Multi-Objective Genetic Algorithms (MOGA) is used. Different objective functions of the Multi-Objective Genetic Algorithms (MOGA) are carefully tested to ensure the most effective performance of the system. The MATLAB/SIMULINK simulation results validating its robust operation under various conditions.

关键词： Current control Renewable energy sources PI control Simulation linear programming Inverters Stability analysis Voltage control MATLAB Genetic algorithms

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Optimization strategy of multi-type energy storage considering carbon constraints

Optimization strategy of multi-type energy storage consideri...

引用

Energy, Power and Grid (ICEPG), International Conference on

作者： Tiankuo Zhou Ci Zhanga Zonghe Liu Shihan Wang Ziyi Zhao Fei Tang Department of Electrical and Automation Engineering Wuhan University Wuchang Wuhan Hubei China

ISBN: (数字)9798350377798

ISBN: (纸本)9798350377804

Aiming at the problem of difficult carbon and electricity coupling and new energy consumption in the new power system, this paper proposes a multiple energy storage optimization operation model considering carbon constraints. Firstly, a mathematical model is established according to the response characteristics of each energy storage, and the corresponding constraints are set; secondly, a carbon trading mechanism for an integrated energy system is constructed by considering the actual carbon emission of a gas turbine; finally, the linear programming problem is solved by a solver with the objective function of minimising the sum of the carbon trading cost and the operation and maintenance cost. The results show that the reasonable allocation of the proportion of each energy storage is conducive to improving the system operation economy, and the carbon emissions are significantly reduced after the introduction of the carbon trading mechanism.

关键词： Couplings Costs Wind energy Systems operation Emissions trading Carbon dioxide linear programming Mathematical models Turbines Energy storage

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Flexible Beamforming for Movable Antenna-Enabled Integrated Sensing and Communication

Flexible Beamforming for Movable Antenna-Enabled Integrated ...

引用

International Conference on Communication Technology (ICCT)

作者： Wanting Lyu Songjie Yang Yue Xiu Zhongpei Zhang Chadi Assi Chau Yuen University of Electronic Science and Technology of China Chengdu China Civil Aviation Flight University of China Chengdu China Concordia University Montreal Canada Nanyang Technological University Singapore

ISBN: (数字)9798350363760

ISBN: (纸本)9798350363777

This paper investigates flexible beamforming design in an integrated sensing and communication (ISAC) network with movable antennas (MAs). A bistatic radar system is integrated into a multi-user multiple-input-single-output (MU-MISO) system, with the base station (BS) equipped with MAs. This enables array response reconfiguration by adjusting the positions of antennas. Thus, a joint beamforming and antenna position optimization problem, namely flexible beamforming, is proposed to maximize communication rate and sensing mutual information (MI). The fractional programming (FP) method is adopted to transform the non-convex objective function, and we alternatively update the beamforming matrix and antenna positions. Karush–Kuhn–Tucker (KKT) conditions are employed to derive the close-form solution of the beamforming matrix, while we propose an efficient search-based projected gradient ascent (SPGA) method to update the antenna positions. Simulation results demonstrate that MAs significantly enhance the ISAC performance when employing our proposed algorithm, achieving a 59.8% performance gain compared to fixed uniform arrays.

关键词： Array signal processing Simulation Transforms Performance gain programming Integrated sensing and communication linear programming Mutual information Antenna arrays Signal to noise ratio

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A Balanced Suppression Method for Peak Shaving and Fluctuation of Power Supply on the Consumer Side Under the Access of New Energy

A Balanced Suppression Method for Peak Shaving and Fluctuati...

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Clean Energy and Electric Power Engineering (ICCEPE), International Conference on

作者： Wuxiao Chen Yuqing Cai Han Lin Zhexin Lin Xuying Liu State Grid Fujian Marketing Service Center (Metering Center and Integrated Capital Center) Fuzhou Fujian China

ISBN: (数字)9798350390315

ISBN: (纸本)9798350390322

The volatility and uncertainty of new energy sources such as wind and solar energy lead to significant fluctuations in their output power. This makes it difficult to predict and adjust the suppression of peak shaving fluctuation balance on the power supply side. To this end, new methods for balancing and suppressing peak shaving fluctuations in power supply on the consumer side under the integration of new energy sources are researched. An objective function that minimizes grid fluctuations and the regional fluctuation suppression margin (ACE) is established. The POS-GA algorithm is used to achieve a multi-obj ective solution for suppressing peak shaving fluctuations in power supply on the consumption side. The experimental results show that after applying the method proposed in this article to suppress peak shaving fluctuations of adjustable loads, the corresponding frequency deviations of fluctuations are within the allowable range. The barriers to wind and solar energy are relatively low, with high peak reserves.

关键词： Fluctuations Uncertainty Power supplies Wind energy Systems operation Solar energy linear programming Reliability engineering Power system reliability Power generation

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Load Balanced Handover Planning for LEO Satellite Communication Networks

Load Balanced Handover Planning for LEO Satellite Communicat...

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Intermountain Engineering, Technology and Computing (IETC)

作者： Steven S. W. Lee Geng-Li Zhou Hua-Lung Tsai Department of Communications Engineering National Chung Cheng University Chiayi Taiwan Dept. of Advanced Communication Technology & Development Industrial Technology Research Institute Hsinchu Taiwan Industrial Technology Research Institute Hsinchu Taiwan National Central University Chung-Li Taiwan

ISBN: (数字)9798350373073

ISBN: (纸本)9798350373080

To ensure uninterrupted service for a user, frequent handovers are essential in a LEO satellite network. Since satellites follow predictable orbits, the movement pattern of a satellite is deterministic. Exploiting the predictability of satellite locations, we devise a handover scheduling plan that incorporates load balancing considerations in satellite networks. To reduce computational complexity, we organize users in close proximity into groups and formulate handover planning based on these user groups. We approach the problem by treating it as a routing problem in an auxiliary graph, which represents the candidate satellites capable of providing qualified connectivity for a user group. We formulate the handover planning problem as two concatenated Integer linear programming (ILP) problems. The objective function of the first problem aims to minimize the traffic on the most heavily loaded satellite. The load on the most congested satellite, obtained from the first problem, serves as a constraint in the second problem. This constraint is employed to set an upper limit on the load for each satellite. The objective function of the second problem is to minimize the total number of handovers. The numerical results demonstrate that our approach significantly reduces the load on the most congested satellite compared to methods that use signal strength and longest service time as handover criteria. Our handover planning results in only a slight increase in the total number of handovers compared to the longest service time strategy.

关键词： Satellites Processor scheduling Low earth orbit satellites Handover Integer linear programming linear programming Scheduling

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A Sum-Rate Prediction Strategy Based On RIS-Aided IoT Networks Power Optimization Algorithm

A Sum-Rate Prediction Strategy Based On RIS-Aided IoT Networ...

引用

IEEE Conference on Vehicular Technology (VTC)

作者： Xuejie Hu Yue Tian Yousi Lin Xianling Wang Chen Zhu Yau Hee Kho Wenda Li School of Opto-Electronic and Communication Engineering Xiamen University of Technology Xiamen China School of Engineering and Computer Science Victoria University of Wellington Wellington New Zealand School of Engineering & Physical Sciences Heriot-Watt University Edinburgh United Kingdom

ISBN: (数字)9798350387414

ISBN: (纸本)9798350387421

Reconfigurable intelligent surfaces (RISs), as ar-tificial electromagnetic structures with programmable electro-magnetic characteristics, have the potential to enhance the signals collected by service base stations in multi-cell Internet of things (IoT) networks. This capability improves the information extraction and utilization in communication systems, presenting numerous promising applications in the sixth-generation (6G) communication systems-IoT network environment. This paper proposes an optimization framework for the transmission sum-rate in a multicell, multi-user wireless communication system assisted by RIS. Firstly, establish transmission power allocation constraints for training and data symbols based on the distances of users from the transmitter, along with corresponding sum-rate objective functions. Utilize the multidimensional feature parameters of the RIS and long short-term memory (LSTM) to establish the relationship between user mobility distance and transmission power. Then, based on the obtained power prediction data, calculate the corresponding sum-rate using the previously defined objective functions. The obtained predictions contribute to more accurately assessing future communication environments, thereby aiding in optimizing the performance of communication systems. Simulation results validate the significant potential of LSTM in RIS-assisted multi-user wireless network systems.

关键词： Training Vehicular and wireless technologies Wireless networks Symbols Reconfigurable intelligent surfaces linear programming Resource management

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Photovoltaic Energy Stored Quasi-Z-Source Inverter Multi-Scenario Parameter Optimization

Photovoltaic Energy Stored Quasi-Z-Source Inverter Multi-Sce...

引用

International Conference on Electronic Engineering and Informatics (EEI)

作者： Wanting Xi Yanwei Chen Zhiyong Li Xiaoliang Zhang 713 Research Institute of CSSC Zhengzhou China School of Automation Central South University Changsha China

ISBN: (数字)9798350353594

ISBN: (纸本)9798350353600

Photovoltaic energy stored quasi-Z-source inverter (PV -ES-QZSI) can achieve high performance coordinated control of energy storage and photovoltaic, but its power quality and cost issues can limit its wide application to some extent. In this paper, ripple and cost are selected as the optimization objectives to optimize the system parameters. However, in actual optimization, the daily PV power curve is complex and changeable with the weather. If the involved PV multiple scenarios are ignored and the parameter optimization is carried out in a single PV scenario, the results will not be comprehensive and representative. In view of this problem, this paper considers the complex working conditions of the photovoltaic scene, conducts the clustering analysis of the intra-day photovoltaic power curve of one year, establishes the cluster center with the typical photovoltaic curve and the weight of days, and constructs the multi-objective optimization function with the goal of cost and ripple. Compared with the optimization results obtained from the model analysis in a single photovoltaic scenario, the research in this paper can improve the comprehensiveness of the parameter efficiency optimization. Finally, the superiority of the proposed method is verified by simulation analysis.

关键词： Photovoltaic systems Employee welfare Costs Power quality Optimization methods linear programming Inverters Informatics Optimization Meteorology

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Research on the Quantification Method of Electric Vehicle Cluster Flexibility

Research on the Quantification Method of Electric Vehicle Cl...

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Energy, Power and Electrical Engineering (EPEE), International Conference on

作者： Zeyi Wang Yao Wang Li Xie Hongyu Sun Xueshan Ni Hua Zheng State Grid Jilin Electric Power Co. Ltd. Changchun Power Supply Company China School of Electrical and Electronic Engineering North China Electric Power University China

ISBN: (数字)9798331518066

ISBN: (纸本)9798331518073

Electric vehicles provide low-cost energy and ancillary services in the electricity market, which is crucial for the efficient and economical operation of the new power system. In order to fully utilize the responsiveness of electric vehicles and effectively participate in market transactions, load aggregators need to aggregate all electric vehicles under control to adapt to existing market rules. However, due to differences in the regulation characteristics and physical parameters of electric vehicles, individuals have high heterogeneity, which makes traditional aggregation methods based on Minkowski sum computationally complex. The feasible inner approximation method for the flexibility of electric vehicle clusters based on structure preserving transformation is proposed in this paper. By optimizing the affine transformation of a given convex polytope in the half-space representation, the flexibility of an electric vehicle cluster can be approximated. Numerical experiments have shown that this method has high approximation accuracy, and compared to traditional models, the proposed aggregation model exhibits superior solving performance.

关键词： Accuracy Biological system modeling Focusing Electric vehicles linear programming Electricity supply industry Regulation Polynomials Power systems Numerical models

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Complementary Scheduling of Cascade Hydropower Stations and Photovoltaic Power Considering Daily Regulating Hydropower Stations

Complementary Scheduling of Cascade Hydropower Stations and ...

引用

IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

作者： Tianxiao Yan Su Guo Hao Sun Hohai University School of Electrical and Power Engineering Nanjing China Hohai University College of Renewable Energy Nanjing China

ISBN: (数字)9798350386127

ISBN: (纸本)9798350386134

To achieve China's carbon peak and carbon neutrality targets, and help consume a greater proportion of clean energy, this paper proposes a novel Cascade Hydropower Intraday Scheduling Model that takes into account daily regulating power stations and time-delay effects. Taking the minimum curtailment rate and the minimum electricity shortfall rate as the objective functions, we construct an intra-day scheduling model for cascade hydropower stations, considering dimensionality disaster, time-delay phenomena, and the presence of daily regulating hydropower stations. Taking a six-level hydropower station in southwest China as the research object, the research results show that the model can effectively improve the quality of multi-energy complementary output power and reduce the difference by 90% in water level between the beginning and the end of the daily regulation hydropower station, compared to before optimization.

关键词： Photovoltaic systems Green energy Economics Electricity Hydroelectric power generation Predictive models Reservoirs linear programming Regulation Optimization

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Secure Resource Allocation for Integrated Sensing and Semantic Communication System

Secure Resource Allocation for Integrated Sensing and Semant...

引用

IEEE International Conference on Communications Workshops, ICC

作者： Jianxin Dai Hui Fan Zhouxiang Zhao Yao Sun Zhaohui Yang College of Science Nanjing University of Posts and Telecommunications Nanjing China National Mobile Communications Research Laboratory Southeast University Nanjing China College of Information Science and Electronic Engineering Zhejiang University Hangzhou China James Watt School of Engineering the University of Glasgow Glasgow UK Zhejiang Provincial Key Laboratory of Info. Proc. Commun. & Netw. (IPCAN) Hangzhou China

ISBN: (数字)9798350304053

ISBN: (纸本)9798350304060

As a new paradigm of communication, semantic communication (SC) differs from traditional communication based on bit transmission by transmitting semantic information, which demonstrates enormous potential in improving communication performance and efficiency. To ensure the transmission security, this paper studies the secure resource allocation problem of integrated sensing and semantic communication (ISSC) system in the scenario of multiple eavesdroppers. Specifically, the concept of secure semantic rate (SSR) is first proposed to measure the reliability of user information acquisition, and then an optimization problem is formulated to maximize the secure semantic efficiency (SSE), which represents the ratio of SSR to transmission power. To solve this problem, the optimization problem is first transformed into two subproblems, i.e., beamforming optimization problem and semantic parameter optimization problem. For the beamforming optimization subproblem, this paper simplifies the objective function using the Dinkelbach algorithm with given semantic parameters and proposes an alternating algorithm through iteratively solving a series of convex subproblems. For the semantic parameter subproblem, the monotonic decreasing property of the objective function with respect to semantic parameter is revealed mathematically under a given beamforming vector. Finally, simulation results verify the theoretical analysis.

关键词： Array signal processing Simulation Conferences Semantics Transforms linear programming Vectors

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