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consensus-based Energy Management of Microgrid With Random Packet Drops

IEEE TRANSACTIONS ON SMART GRID 2023年第5期14卷 3600-3613页

作者： Li, Hongyi Hui, Hongxun Zhang, Hongcai Univ Macau State Key Lab Internet Things Smart City Macau Peoples R China Univ Macau Dept Elect & Comp Engn Macau Peoples R China

Decentralized energy management using consensus-based algorithm is a vibrant research field since it can promote the local accommodation of the renewable energy generation without raising privacy and scalability issues. Most of the existing methods assume that the communication links are reliable, which might not be true in real-world implementations. This paper focuses on tackling the problem of random packet drops. We first formulate the models of the energy management problem in the microgrid and the information packet drop in the communication network. based on the models, we conclude that losing the information about incremental electricity cost estimation is tolerable, while losing the information about the power mismatch estimation is not. We propose a novel consensus algorithm that tracks and exchanges the accumulated value of the power mismatch estimation so that the information loss can be recovered. An equivalent form of the proposed method is established by augmenting the communication links with virtual buffering nodes. based on the augmented communication topology, we theoretically prove the convergence of the proposed algorithm and the optimality of the solution. Several case studies are provided to validate the effectiveness of the proposed algorithm.

关键词： Energy management Microgrids Topology Estimation Costs Convergence Generators consensus-based algorithm microgrid energy management random packet drops renewable energy

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Distributed multi-target tracking with low information updates via an integral-type event-based approach

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SIGNAL PROCESSING 2024年 214卷

作者： Shen, Kai Zhang, Chengxi Dong, Peng Jing, Zhongliang Leung, Henry Southwest Jiaotong Univ Sch Elect Engn Chengdu 611756 Peoples R China Jiangnan Univ Sch Internet Things Engn Wuxi 214122 Peoples R China Shanghai Jiao Tong Univ Sch Aeronaut & Astronaut Shanghai 200240 Peoples R China Univ Calgary Dept Elect & Comp Engn Calgary AB T2N IN4 Canada

The existing event-triggered (ET) strategies for distributed multi-target filter commonly employ triggering conditions focusing on the instantaneous information discrepancy. Although this approach can save com-munication resource, it suffers from its sensitivity to instantaneous disturbance and outliers that results in unnecessary communications. In this correspondence, an integral-type event-triggered mechanism is integrated with the consensus-based labeled multi-Bernoulli filter (LMB). The proposed algorithm provides a passivation effect that lowers the communication activities while preserving the tracking performance in the uncertain environment with disturbance. The theoretical analysis demonstrates that the integral-type event-triggered mechanism introduces bounded information discrepancy in the sense of Kullback-Leibler (KL) divergence. The proposed algorithm is also verified by numerical simulations in a target tracking scenario.

关键词： consensus-based algorithm Labeled multi-Bernoulli filter Distributed multi-target tracking Event-triggered Integral-type

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Fully Distributed Economic Dispatch for Cyber-physical Power System with Time Delays and Channel Noises

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Journal of Modern Power Systems and Clean Energy 2022年第6期10卷 1472-1481页

作者： Yuhang Zhang Ming Ni Yonghui Sun College of Energy and Electrical Engineering Hohai UniversityNanjing 210098China NARI Group Corporation(State Grid Electric Power Research Institute) Nanjing 211106China NARI Technology Co. Ltd.Nanjing 211106China State Key Laboratory of Smart Grid Protection and Control Nanjing 211106China

Economic dispatch problem(EDP)is a fundamental optimization problem in power system operation,which aims at minimizing the total generation *** fact,the power grid is becoming a cyber-physical power system(CPPS).Therefore,the quality of communication is a key *** this paper,considering two important factors,i.e.,time delays and channel noises,a fully distributed consensus based algorithm is proposed for solving *** critical maximum allowable upper bounds of heterogeneous communication delays and self-delays are *** should be pointed out that the proposed algorithm can be robust against the time-varying delays and channel noises considering generator *** addition,even with time-varying delays and channel noises,the power balance of supply and demand is not broken during the *** simulation studies are presented to validate the correctness and superiority of the developed results.

关键词： Distributed economic dispatch consensus-based algorithm cyber-physical power system time delay channel noises

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Distributed consensus-based K-Means algorithm in Switching Multi-Agent Networks

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Journal of Systems Science & Complexity 2018年第5期31卷 1128-1145页

作者： LIN Peng WANG Yinghui QI Hongsheng HONG Yiguang Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100190 China School of Mathematical Sciences University of Chinese Academy of Sciences Beijing 100190 China.

This paper discusses a distributed design for clustering based on the K-means algorithm in a switching multi-agent network, for the case when data are decentralized stored and unavailable to all agents. The authors propose a consensus-based algorithm in distributed case, that is, the double- clock consensus-based K-means algorithm （DCKA）. With mild connectivity conditions, the authors show convergence of DCKA to guarantee a distributed solution to the clustering problem, even though the network topology is time-varying. Moreover, the authors provide experimental results on vari- ous clustering datasets to illustrate the effectiveness of the fully distributed algorithm DCKA, whose performance may be better than that of the centralized K-means algorithm.

关键词： consensus-based algorithm distributed K-means clustering multi-agent network switching topology.

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Comparison amongst Lagrange, Firefly, and ABC algorithms for Low-Noise Economic Dispatch and Reactive Power Compensation in Islanded Microgrids

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ENERGIES 2023年第13期16卷 5119页

作者： Singh, Shruti Gao, David Wenzhong Univ Denver Dept Elect & Comp Engn Denver CO 80210 USA

For the microgrids to operate securely, distributed generators must be able to interact with one another without experiencing any communication delays or noise. To develop a more effective economic dispatch strategy, this research focuses on noise's effect on the performance of an islanded microgrid. Three different strategies, Lagrange, firefly, and artificial bee colony algorithms, are compared for optimal solutions of economic dispatch. Their performance is compared based on stability during noise interference and faster response time with and without the virtual synchronous generator-STATCOM strategy. The virtual synchronous generator is used as a voltage source to regulate active power and reactive power with the grid. A STATCOM controller is introduced in the system for reactive power compensation. Reactive power compensation is the process of controlling reactive power to enhance the efficiency of alternating current power systems. By boosting the active power, reactive power compensation in the transmission system will increase the stability of microgrids. The voltage, output power, power factor, and phase angle of the microgrid benefit from the stability provided by the controller. As a result, the performance and resilience of the microgrid is improved.

关键词： microgrids economic dispatch consensus-based algorithm reactive power distributed generators virtual synchronous generator STATCOM

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Improved Virtual Synchronous Generator Principle for Better Economic Dispatch and Stability in Grid-Connected Microgrids with Low Noise

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ENERGIES 2023年第12期16卷 4670-4670页

作者： Singh, Shruti Gao, David Wenzhong Univ Denver Dept Elect & Comp Engn Denver CO 80210 USA

The proper operation of microgrids depends on Economic Dispatch. It satisfies all requirements while lowering the microgrids' overall operating and generation costs. Since distributed generators constitute a large portion of microgrids, seamless communication between generators is essential. While guaranteeing a reliable microgrid operation, this should be achieved with the fewest losses as possible. The distributed generator technology introduces noise into the system by design. To find the best economic dispatch strategy, noise was considered in this research as a limitation in grid-connected microgrids. The microgrid's performance was improved, and the proposed technique also showed increased resilience. A virtual synchronous generator (VSG) control approach is proposed with a noiseless consensus-based algorithm to improve the power quality of microgrids. Voltage and frequency regulation modules are the foundation of the VSG paradigm. The synchronous generator's second-order equation (hidden-pole configuration) was also used to represent the voltage of the stator and rotor motion. This study compared changes in power, frequency, and voltage for the microgrid by utilizing the described control approach using MATLAB. According to the findings, this method aids in controlling load and noise variations and offers distributed generators an efficient control strategy.

关键词： microgrids virtual synchronous generator consensus-based algorithm economic dispatch power systems distributed generators

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Distributed consensus-based solver for semi-definite programming: An optimization viewpoint

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AUTOMATICA 2021年 131卷 109737-109737页

作者： Li, Weijian Zeng, Xianlin Hong, Yiguang Ji, Haibo Univ Sci & Technol China Dept Automat Hefei 230027 Anhui Peoples R China Beijing Inst Technol Sch Automat Key Lab Intelligent Control & Decis Complex Syst Beijing 100081 Peoples R China Tongji Univ Dept Control Sci & Engn Shanghai 201804 Peoples R China Shanghai Res Inst Intelligent Syst Shanghai 201203 Peoples R China

This paper aims at the distributed computation for semi-definite programming (SDP) problems over multi-agent networks. Two SDP problems, including a non-sparse case and a sparse case, are transformed into distributed optimization problems, respectively, by fully exploiting their structures and introducing consensus constraints. Inspired by primal-dual and consensus methods, we propose two distributed algorithms for the two cases with the help of projection and derivative feedback techniques. Furthermore, we prove that the algorithms converge to their optimal solutions, and moreover, their convergences rates are evaluated by the duality gap. (C) 2021 Elsevier Ltd. All rights reserved.

关键词： Distributed optimization consensus-based algorithm Semi-definite programming Sparsity

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Hybrid Distributed and Decentralized Secondary Control Strategy to Attain Accurate Power Sharing and Improved Voltage Restoration in DC Microgrids

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IEEE TRANSACTIONS ON POWER ELECTRONICS 2020年第6期35卷 6458-6469页

作者： da Silva, Waner Wodson A. G. Oliveira, Thiago Ribeiro Donoso-Garcia, Pedro Francisco Univ Fed Itajuba BR-35903087 Itabira Brazil Univ Fed Minas Gerais Elect Engn Dept BR-31270901 Belo Horizonte MG Brazil

This article proposes a secondary level control technique for dc microgrids, which achieves accurate power sharing through a distributed strategy while performing dc bus voltage restoration in a decentralized fashion. In order to attain proper power sharing, each power converter exchanges its output power information with neighboring converters through a low-bandwidth network at defined time intervals. A consensus-based algorithm is employed to process this information and modify the converter's droop coefficient, compensating droop mismatches and cable resistances and enabling power sharing. Restoration of the average dc bus voltage is realized locally with each converter compensating its own output voltage drop through an integrator. A comprehensive design procedure and performance and stability analysis, including communication loss and substantial time delays, are also provided. The strategy has shown to be robust to some communication failure scenarios and moderate communication delays. The proposed method is evaluated through simulation in the software PLECS and it is experimentally validated in a 4.5-kW dc microgrid setup.

关键词： Accurate power sharing consensus-based algorithm dc microgrids droop control voltage restoration

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Stochastic Electricity Social Welfare Enhancement based on consensus Neighbor Virtualization

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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2019年第12期66卷 9571-9580页

作者： Tajalli, Seyede Zahra Niknam, Taher Kavousi-Fard, Abdollah Shiraz Univ Technol Dept Elect & Elect Engn Shiraz *** Iran

This paper tries to develop a multiagent consensus-based algorithm to handle the energy management problem (EMP) in the smart grids in the presence of dispatchable loads and distributed generators. To this end, the neighbor virtualization concept is employed to improve the system performance by introducing a novel communication structure for distributed algorithms. Accuracy, quickness, and scalability are the most important benefits of this algorithm that make it applicable in real power systems. The increasing penetration of wind turbines and the stochastic nature of load demand can inject much uncertainty in our problem. In order to deal with this issue, unscented transform as a powerful tool is used to model the problem uncertainties. The proposed problem is formulated in the form of a single-objective stochastic optimization framework maximizing the generators and consumers welfare. The feasibility and high performance of the proposed framework are examined on two test systems, including the IEEE 39-bus test system and a large grid with 1305 agents in MATLAB simulation. The simulation results advocate the high capability and effectiveness of the proposed framework for EMP of smart grids.

关键词： consensus-based algorithm distributed optimization energy management social welfare

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consensus-based Coordination of Time-Shiftable Flexible Demand 2

Consensus-Based Coordination of Time-Shiftable Flexible Dema...

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2nd International Conference on Smart Energy Systems and Technologies (SEST)

作者： Li, Jing Ye, Yujian Papadaskalopoulos, Dimitrios Strbac, Goran Imperial Coll London Dept Elect & Elect Engn London England Fetch AI Cambridge England

ISBN: (纸本)9781728111568

Distributed, consensus-based algorithms constitute a promising approach for the coordination of distributed energy resources (DER) due to their practical advantages over centralized approaches. However, state-of-the-art consensus-based algorithms address the coordination problem in independent time periods and therefore are inherently unable to capture the time-shifting flexibility of the demand side. This paper demonstrates that state-of-the-art algorithms fail to converge when time-shiftable flexible demands (TSFD) are present. In order to address this fundamental limitation, a relative maximum power restriction is introduced, which effectively mitigates the concentration of the TSFD responses at the same time periods and steers the consensus-based algorithm towards a feasible and near-optimal solution.

关键词： consensus-based algorithm distributed coordination economic dispatch flexible demand smart grid

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