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Distributed Target Tracking in Sensor Networks by consistency algorithm and Semantic Moving Computing of Internet of Things

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IEEE ACCESS 2022年 10卷 51634-51642页

作者： Wang, Yun Liu, Han Zhou, Jun Wan, Yi Shanxi Polytech Coll Dept Comp Engn Taiyuan 030006 Peoples R China Hebei Univ Coll Qual & Tech Supervis Baoding 071002 Peoples R China Chongqing Business Vocat Coll Sch Artificial Intelligence Chongqing 401331 Peoples R China Southwest Technol & Engn Res Inst Chongqing 401331 Peoples R China Southwest Univ Sci & Technol Sch Informat Engn Mianyang 621010 Sichuan Peoples R China

The target tracking algorithm of mobile wireless sensor networks involves target motion trend prediction and subsequent node guidance. This study aims to solve the problems of global consistency of node information and significant errors in forecasting fast-moving targets' trajectories through traditional distributed tracking methods in sensor networks. Initially, the average consistency algorithm is used to average the local measurements of each node to achieve global consistency. Then, semantic moving computing of the Internet of Things calculates and analyzes the node movement to support the subsequent movement guidance of nodes and target movement prediction. Finally, the simulation experiment is carried out to evaluate the commonly used target trajectory prediction model. The simulation results show that the node movement algorithm by average consistency can effectively improve the positioning accuracy of the network for moving targets. Besides, the positioning error decreases with the increase of the sensing radius R, the number of moving nodes nm, and the total number of nodes ns deployed in a particular range in a two-dimensional (2D) space. The positioning error after node movement in 2D space is about 20%-30%R lower than that in a static state. After node movement in a three-dimensional (3D) space, the positioning error is about 40%-50%R lower than in a dormant state. When the target moves at a speed greater than 7m/s, the consistency-based moving computing algorithm's target loss rate and tracking errors are about 0 similar to 10% and 1.5%similar to 2% lower than the target tracking algorithm via Kalman Filter. Therefore, the algorithm reported here can precisely track the high-speed moving target. The existing research on point target tracking has problems of insufficient accuracy and robustness. The algorithm proposed here has stronger robustness, reduced data error in multi-node, and more flexible node movements, providing a reference for the subsequen

关键词： consistency algorithm moving computing algorithm mobile wireless sensor network distributed target tracking

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Optimization and Scheduling of Distributed Flexible Resources in Novel Power System Based on consistency algorithm 6

Optimization and Scheduling of Distributed Flexible Resource...

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6th International Conference on Renewable Energy and Power Engineering (REPE)

作者： Chen, Baosheng Zhang, Weiqi Zhang, Zelong Yang, Yan State Grid Ningxia Elect Power Co Ltd Econ & Tech Res Inst Yinchuan Ningxia Peoples R China

ISBN: (纸本)9798350306194;9798350306187

The new power system integrates multiple entities such as energy suppliers, load aggregators and energy stations. There are information privacy and technical barriers between subjects, which are independent and interrelated, and some subjects can achieve two-way interaction and energy trading. The new power system for areas includes multiple distributed power sources and multiple energy supply units, and each energy supply unit is independent and coupled to each other. Aiming at the lowest power supply cost, the operation cost model of each equipment in the system is established, and the consistency algorithm is used to optimize the operation state of each equipment in the system. Experiments show that the consensus algorithm can respond quickly and effectively to the changes in the system load to ensure the economy of the system operation.

关键词： new power system multi subject equipment operation model consistency algorithm load variation

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An Adaptive Virtual Impedance Adjustment Based on Average consistency algorithm

An Adaptive Virtual Impedance Adjustment Based on Average Co...

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58th IEEE/IAS Industrial and Commercial Power Systems Technical Conference Asia (IEEE I and CPS Asia)

作者： Zhang, Boyang Wang, Hui Jin, Xiaotang Shandong Univ Sch Elect Engn Jinan Peoples R China

ISBN: (数字)9781665450669

ISBN: (纸本)9781665450669

The independent and stable operation of micro-grid provides technical guarantee for Self-Sustained Highway. At present, there is a contradiction between voltage and power regulation in traditional secondary control. In this paper, a virtual impedance adaptive adjustment based on consistency algorithm is proposed to solve the above problems. Firstly, adjacent DGs communicate to exchange information of real-time power. Calculating compensation from adaptive impedance layer with consistency algorithm. The deviation of primary control is adjusted by dynamic virtual impedance. This method can distribute active power according to capacity, and reduce the voltage deviation at the same time. The effectiveness of the method is validated by the simulation and experimental results.

关键词： hierarchical control adaptive virtual impedance consistency algorithm

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Coordinated Control Strategy of Islanded DC Microgrid Based on consistency algorithm 19

Coordinated Control Strategy of Islanded DC Microgrid Based ...

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19th IEEE International Conference on Mechatronics and Automation (IEEE ICMA)

作者： Li, Dongxu Xia, Zhu Feng, Renjie Chen, Lixian Liu, Hongda China Southern Power Grid Guangzhou Power Supply Bur Tianhe Rd Guangzhou Peoples R China Dongfang Elect Co Ltd Int Business Dept Airport Rd Yantai Peoples R China Harbin Engn Univ Coll ISSE Nantong St Harbin Peoples R China

ISBN: (数字)9781665408530

ISBN: (纸本)9781665408530;9781665408523

The islanded DC microgrid undertakes its voltage control and power management alone because of its independency from the grid. The line impedance brings difficulties for the droop control strategy to improve the control of the bus voltage and the power management of battery storage units (BSUs) at the same time. Therefore, a secondary coordinated control strategy, including the BSU power management and the bus voltage correction, is proposed in this paper, which improves the conventional droop control strategy. The droop control is the primary control, leading to the decline of bus voltages. The secondary control is a distributed control based on the consistency algorithm to correct the bus voltages, by increasing the system load until the BSUs reach the same state of charge (SoC). The effectiveness of the proposed strategy is verified by experiments in the Matlab/Simulink.

关键词： Islanded DC microgrid secondary coordinated control consistency algorithm distributed control

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Sliding mode consistency tracking control of multiple heavy haul trains under input saturation and safety distance constraints

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JOURNAL OF THE FRANKLIN INSTITUTE 2023年第12期360卷 9028-9049页

作者： He, Jing Yang, Xingxing Zhang, Changfan Xiao, Mingjie Hunan Univ Technol Coll Elect & Informat Engn Zhuzhou 412007 Hunan Peoples R China Guangxi Power Grid Co Guilin Power Supply Bur Guilin 541000 Guangxi Peoples R China

In order to ensure that under the influence of input saturation, a safe distance between adjacent locomotives and adjacent trains in multiple heavy haul trains (HHTS) is main-tained, an anti-saturation sliding mode consistency (ASMC) control algorithm is proposed. First, a multitrain and multiparticle dynamic model (MMDM) based on multitrain single particle that considers nonlinear coupling force and external disturbance effect is established. Next, a dynamic auxiliary compensation (DAC) system combined with sliding mode surface that can rapidly reduce the saturation deviation is designed and consistency algorithm of the simplified control structure is introduced to construct the ASMC control algorithm. Then, theoretical derivation proved that the algorithm can ensure the convergence of the tracking distance between adjacent locomotives and between adjacent trains to a bounded safe range whilst overcoming the influence of input saturation on each train. Lastly, the simulink and RT-LAB simulation results are used to verify the effectiveness of the design algorithm. & COPY;2022 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

关键词： Heavy haul train Input saturation Sliding mode control consistency algorithm Dynamic auxiliary compensation system

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Day-Ahead and Intraday Joint Optimal Dispatch in Active Distribution Network Considering Centralized and Distributed Energy Storage Coordination

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IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 2024年第3期60卷 4832-4842页

作者： Wang, Guoying Wang, Chengfu Feng, Tianyuan Wang, Kang Yao, Wenliang Zhang, Zhaosong Shandong Univ Sch Elect Engn Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China China Elect Council Beijing 100000 Peoples R China

In active distribution network (ADN), there exist significant differences in the characteristics of different types of energy storage, leading to coordination challenges. This makes it difficult to effectively address power fluctuation issues caused by the substantial integration of renewable energy sources (RESs). To this end, a day-ahead and intraday joint optimal dispatch method in ADN, which includes an energy storage coordination strategy and a scheduling framework, is proposed in this paper. The energy storage coordination strategy can schedule centralized and distributed energy storage (CES and DES) according to their differences in capacity and response speed. CES is used as energy-type energy storage to take part in the peak shaving of ADN, while DES is used as power-type energy storage to smooth out the rapid power fluctuation of RES. The scheduling framework is divided into two stages: day-ahead and intraday. In the day-ahead stage, the operation state of CES and other slow-response resources is optimized and determined. In the intraday stage, the rough output of the fast-response DES, is optimized based on the short-term prediction. Subsequently, a consistency algorithm is utilized for optimizing the rough output of DES to obtain the precise output state. Further, the scheduling framework uses the schedulable margin of DES as a feedback signal to optimize the output status of CES. A case study on an IEEE 33-bus system verifies the effectiveness of the proposed method.

关键词： Energy storage Job shop scheduling Scheduling Fluctuations Renewable energy sources Optimal scheduling Distribution networks Active distribution network consistency algorithm energy storage coordination strategy optimal dispatch scheduling framework

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Equalized Distributed Control Strategy for AC Microgrid Energy Storage SOCs

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ENERGIES 2024年第18期17卷 4695-4695页

作者： Li, Qingsheng Lu, Kaicheng Zhu, Yongqing Zhang, Zhaofeng Li, Zhen Guizhou Power Grid Co Ltd Power Grid Planning Res Ctr Guiyang 557316 Peoples R China Zhejiang Univ Coll Elect Engn Hangzhou 310027 Peoples R China

Most of the previous SOC equalization methods for microgrid energy storage target DC microgrids and use centralized control structures, while in recent years many researchers have begun to focus on a decentralized, communication-based implementation of distributed control structures. In this paper, based on the existing research, we use the multi-agent system (MAS) structure and dynamic consistency algorithm (DCA) to realize the estimation of the SOC mean value of microgrid energy storage obtained by each agent in the system. For the problems of the iterative convergence that exists in the distributed control, such as being too slow, too frequent communication, stability, etc., we optimally select the parameters of the consistency iterative summation to improve convergence. In addition, we use the event-driven method to further reduce the unnecessary communication frequency. Finally, a numerical simulation model of the AC microgrid is established by Matlab to verify the effectiveness of the method, which reduces the communication volume by about 50% while maintaining the effect of the control strategy.

关键词： soc equalization consistency algorithm event-driven multi-agent system AC microgrids

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Multi-agent consistent cost optimization for hybrid energy system

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JOURNAL OF ENERGY STORAGE 2024年 98卷

作者： Lu, Xiaojuan Zhu, Yuhang Fan, Duojin Kong, Linggang Zhang, Zhiyong Lanzhou Jiaotong Univ Sch Automat & Elect Engn Lanzhou 730070 Peoples R China Lanzhou Jiaotong Univ Res Inst Photothermal energy storage Lanzhou 730070 Peoples R China

The purpose of this study is to enhance the economic applicability, reliability, and flexibility of energy supply by developing a novel Hybrid Energy System (HES). We establish a hybrid power generation model that integrates wind power generation (PW), photovoltaic power generation (PV), concentrated solar power (CSP), thermal power generation (TP), and wind and solar power curtailment (WSC) energy storage to enable flexible energy utilization and improve overall energy efficiency. To address the challenges of integrated regulation across multiple energy sources, we introduced an event-triggered multi-agent consensus algorithm with a PID controller (PEMCA) and applied it to the HES. PEMCA is employed to regulate the power output of each energy source to maximize the economic benefits of HES operation. The event-triggered mechanism within PEMCA significantly reduces the communication frequency, while the PID controller effectively mitigates the communication interference fluctuations, eliminates errors, and ensure smooth operation of the system. Verification results indicate that, compared to the traditional multi-agent incremental consensus algorithm (MCA), PEMCA substantially decreases the number of communications within the hybrid energy system, resulting in a 93.6 % reduction in communication space utilization. To evaluate the impact of communication interference within the HES, we simulated three different levels of interference. The results demonstrate that PEMCA outperforms the MCA algorithm in terms of stability and anti-interference capability, effectively suppressing error fluctuations and exhibiting greater robustness and reliability. When the HES system is combined with the PEMCA strategy, the total system cost is reduced by 1.4% and 4.2 %, respectively, compared to using the Gurobi mathematical solver and the consideration of secondary energy. These findings validate the effectiveness of the algorithm.

关键词： Hybrid energy system consistency algorithm Economic dispatch

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Distributed economic control strategy based on reinforcement pinning control for microgrids

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ELECTRIC POWER SYSTEMS RESEARCH 2024年 237卷

作者： Zheng, Shu Wu, Zhi Song, Lijuan Gu, Wei Liu, Wei Zhao, Jingtao Xu, Zhihua Hong, Tao Southeast Univ Sch Elect Engn Nanjing 210096 Peoples R China NARI Technol Co Ltd Nanjing 211106 Peoples R China Nanjing Univ Sci & Technol Sch Automat Nanjing 210094 Peoples R China

Traditional droop control allocates distributed generation (DG) power based on capacity proportion, which leads to high system operating costs. To address this issue, this study proposes a distributed economic control strategy for microgrids based on reinforcement pinning (RP) control. To minimize operating costs, reinforcement learning (RL) continuously updates the Q-value table through reward feedback to obtain the optimal strategy. The optimal action determined by RL is set as the pinning reference value and transmitted to the pinning agent. Other agents achieve marginal cost consistency through the pinning information iteration matrix. To correct frequency deviations, proportional-integral (PI) control is used to ensure frequency stability for the system's operation. Simulations under different scenarios were conducted in MATLAB/Simulink. The results show that the proposed approach can coordinate the output of distributed power sources, reduce the operating costs of the microgrid, and maintain frequency stability.

关键词： Isolated microgrids Marginal cost consistency algorithm Reinforcement learning Distributed economic control

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Multi-agent system consistency-based cooperative scheduling strategy of regional integrated energy system

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ENERGY 2024年 295卷

作者： Wang, Qinghan Wang, Yanbo Chen, Zhe Soares, Joao Aalborg Univ AAU Energy Pontoppidanstr 111 DK-9220 Aalborg Denmark LASI Intelligent Syst Associate Lab GECAD Res Grp Intelligent Engn & Comp Adv Innovat P-4249015 Porto Portugal

This article presents a multi-agent system (MAS)-consistency-based cooperative scheduling strategy for regional integrated energy system to address the real -time economic scheduling problem with high penetration of multiple flexible loads. First, the MAS -based hierarchical optimal operation framework is developed to perform the real -time scheduling, where the framework with distributed control is further developed into the hierarchical framework with low-dimensional adjacency matrix. Furthermore, the economic scheduling optimization models corresponding to hierarchical distributed control mode and distributed control mode are established. The optimal objective of the proposed control structure is to 1) minimize the total operation cost, 2) optimize the electrical and heat power of all dispatchable units in balancing energy supply-demand. The operational rule of following heat load for hierarchical distributed control mode and a hill-climbing search model for distributed control mode are proposed to achieve the consistency of agents, so as to realize the cooperative optimal dispatch of electricity and heat vectors. Simulation results validate the effectiveness of the proposed MAS -based strategy in optimizing the cooperative operation of electricity-heat vectors. The real -time energy generation and load demand can be accurately balanced. The proposed strategy can perform efficient real -time economic scheduling and has satisfied adaptive capability for random variations of flexible loads.

关键词： Real -time economic scheduling (RTES) Regional integrated energy system (RIES) Multi-agent system (MAS) consistency algorithm Distributed control Hierarchical control

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