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IEEE-Power-and-Energy-Society General Meeting (PESGM)

作者： Bian, Yiheng Bie, Zhaohong Lin, Yanling Xi An Jiao Tong Univ Dept Elect Engn Xian Shaanxi Peoples R China

ISBN: (纸本)9781538677032

This paper presents a hierarchical optimization model based on multi-microgrids to improve the power system resilience in response to increasingly frequent extreme events. When supply of power from the main grid is interrupted, in the first stage, microgrids minimize the load curtailment through efficiently scheduling their available resources. In the second stage, microgrids share power in order to utilize the surplus capacities to support the unserved loads. A consensus algorithm is applied for microgrids information exchange and a novel ratio is designed to determine the allocated value of exported power in a distributed way. The optimization model is formulated as a mix-integer linear programming (MILP) problem. Test results validate the effectiveness of the proposed model.

关键词： Resilience multi-microgrid system hierarchical optimization consensus algorithm distributed energy resource

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Blockchain Implementation for Analysis of Carbon Footprint across Food Supply Chain

Blockchain Implementation for Analysis of Carbon Footprint a...

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IEEE International Conference on Blockchain (Blockchain)

作者： Denisolt Shakhbulatov Arshit Arora Ziqian Dong Roberto Rojas-Cessa Department of Computer Science New York Institute of Technology New York NY Department of Electrical and Computer Engineering Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ

The growing global population and the consequential increasing food demand have had a great impact on the environment and thus on the climate. Efforts are being made to reduce carbon footprint to mitigate such effects. Calculating the carbon footprint of food products is complex and requires the cooperation of all the stakeholders of the food supply chain. A record keeping system for tracking carbon footprint while preserving privacy for the related parties is needed. This paper presents a new implementation of blockchain for tracking of carbon footprint on food production and transportation stages. We designed a system that tracks the carbon footprint of food processing facilities and transportation parties using cluster-based record keeping while preserving their privacy. We implemented the proposed carbon footprint chain and evaluated its throughput and latency under different scenarios. We show that our blockchain implementation is capable of operating with a larger number of nodes without any scalability issues.

关键词： Blockchain Carbon footprint Transportation Peer-to-peer computing consensus algorithm Supply chains Food products

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Distributed Microgrid Synchronization Strategy Using a Novel Information Architecture Platform 10

Distributed Microgrid Synchronization Strategy Using a Novel...

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10th IEEE Annual Energy Conversion Congress and Exposition (ECCE)

作者： Du, Yuhua Tu, Hao Lukic, Srdjan Dubey, Abhishek Karsai, Gabor North Carolina State Univ FREEDM Syst Ctr Raleigh NC 27695 USA Vanderbilt Univ Inst Software Integrated Syst Nashiville TN USA

ISBN: (纸本)9781479973125

To seamlessly reconnect an islanded microgrid to the main grid, voltage phasors on both sides of the point of common coupling need to be synchronized before the main relay closes. In this paper, a distributed control strategy is proposed for microgrid synchronization operation. The proposed controller design utilizes pinning-based consensus algorithm to avoid system single point of failure. It is able to actively track the main grid frequency, provide a good coordination between frequency and phase regulation and ensure all distributed generations in the system proportionally share the load. Implementation of such distributed algorithm in practice is difficult because it requires mitigation of both distributed computing and power system engineering challenges. In this paper, a novel software platform called RIAPS platform is presented that helps implementing the proposed distributed synchronization strategy in practical hardware controllers. The performance of the controllers are validated using a real-time controller hardware-in-the-loop microgrid testbed.

关键词： consensus algorithm distributed control distributed generation microgrid synchronization

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Revisiting Shor's quantum algorithm for computing general discrete logarithms

arXiv

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arXiv 2019年

作者： Ekerå, Martin KTH Royal Institute of Technology Stockholm Sweden Swedish NCSA Swedish Armed Forces Stockholm Sweden

We heuristically show that Shor’s algorithm for computing general discrete logarithms achieves an expected success probability of approximately 60% to 82% in a single run when modified to enable efficient implementation with the semi-classical Fourier transform. By slightly increasing the number of group operations that are evaluated quantumly and performing a single limited search in the classical post-processing, or by performing two limited searches in the post-processing, we show how the algorithm can be further modified to achieve a success probability that heuristically exceeds 99% in a single run. We provide concrete heuristic estimates of the success probability of the modified algorithm, as a function of the group order r, the size of the search space in the classical post-processing, and the additional number of group operations evaluated quantumly. In the limit as r → ∞, we heuristically show that the success probability tends to one. In analogy with our earlier works, we show how the modified quantum algorithm may be heuristically simulated classically when the logarithm d and r are both known. Furthermore, we heuristically show how slightly better tradeoffs may be achieved, compared to our earlier works, if r is known when computing d. We generalize our heuristic to cover some of our earlier works, and compare it to the non-heuristic analyses in those works. Copyright © 2019, The Authors. All rights reserved.

关键词： consensus algorithm

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A Formation Maintenance and Reconstruction Method of UAV Swarm based on Distributed Control with Obstacle Avoidance

A Formation Maintenance and Reconstruction Method of UAV Swa...

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Control Conference (ANZCC), Australian and New Zealand

作者： Xiaowei Fu Jing Pan Haixiang Wang Xiaoguang Gao Northwestern Polytechnical University Xi’an China

This paper studies the problem of formation maintenance and reconstruction of UAV swarm with obstacle avoidance. Firstly, a collision prediction mechanism is introduced to determine whether each UAV needs to avoid obstacles or not. Secondly, by designing the position and speed consistency control law between UAVs, each UAV and the virtual leader, combined with the obstacle avoidance mechanism based on the artificial potential field method, the swarm formation control and maintenance algorithm with obstacle avoidance is realized. Finally, the formation transformation is realized by changing the relative positional relationship between each UAV and the virtual leader. The simulation results show that the UAV swarm can generate, maintain and reconstruct the expected formation in a real-time distributed manner while avoiding obstacles.

关键词： Force Maintenance engineering Collision avoidance consensus algorithm Simulation Steady-state Reconstruction algorithms

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A Framework of Decentralized Electricity Market Based on The Collaborative Mechanism of Blockchain and Edge Computing

A Framework of Decentralized Electricity Market Based on The...

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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Siyuan Chen Yuyang Bai Yinya Zhang Xiaohong Liu Jun Zhang Tianlu Gao Zhou Fang Yuxin Dai Electrical engineering and automation Wuhan university Wuhan China Central China branch of SGCC Wuhan China

Distributed generations are expected to develop rapidly in the electric power system. As an essential infrastructure, the structure of electricity market moves to distributed or decentralized network. Without a central coordinator, transaction security and optimal dispatch will be a challenge. In this paper, blockchain and edge computing are used to be a potential solution of decentralized electricity market. A decentralized electricity pricing algorithm is installed in the onsite edge computing terminal, and then the transactions are implemented in blockchain. Case studies are presented to demonstrate the availability of pricing mechanism.

关键词： Electricity supply industry consensus algorithm Blockchain Edge computing

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Eliminating Left Recursion without the Epsilon

arXiv

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arXiv 2019年

作者： Smith, James

The standard algorithm to eliminate indirect left recursion takes a preventative approach, rewriting a grammar’s rules so that indirect left recursion is no longer possible, rather than eliminating it only as and when it occurs. This approach results in many of the rules being lost, so that the parse trees that result are often devoid of the detail that the BNF was supposed to capture in the first place. Furthermore, the standard algorithm results in exponential blow-up as the BNF is rewritten, making it wholly unworkable in practice. To avoid these pitfalls, we revise the standard algorithm to eliminate direct left recursion and then take a graph-theoretic approach to eliminating indirect left recursion. We also extend the algorithm to rewrite the resultant parse trees in order to recover the parse trees that would have resulted if left recursion had not had to be eliminated in the first place. Therefore, aside from a couple of caveats, our algorithm works not just in theory but also in practice. Copyright © 2019, The Authors. All rights reserved.

关键词： consensus algorithm

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A consensus Protocol over Noisy Two-Layered Networks with Cooperative and Antagonistic Interactions

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ASIAN JOURNAL OF CONTROL 2018年第1期20卷 548-557页

作者： Nguyen, L. T. H. Wada, T. Masubuchi, I. Asai, T. Fujisaki, Y. Osaka Univ Grad Sch Informat Sci & Technol 1-5 Yamadaoka Suita Osaka 5650871 Japan Kobe Univ Grad Sch Syst Informat Nada Ku 1-1 Rokkodai Kobe Hyogo 6578501 Japan Nagoya Univ Grad Sch Engn Furo Cho Nagoya Aichi 4648603 Japan

This study is concerned with the consensus problems of multi-agent systems with cooperative and antagonistic noisy interactions described by two-layered network. That is, each agent is simultaneously influenced by the force of attraction and repulsion between each neighboring agents in cooperative and antagonistic layers. A distributed algorithm for achieving the consensus in a probabilistic sense is proposed and its sufficient conditions are clarified. The conditions tell us rigorous stopping rules which enable us to know the number of iterations that achieves consensus within a prespecified accuracy and probability. Some applications of consensus problems with cooperative and antagonistic interactions are shown through numerical examples.

关键词： consensus algorithm multi-agent systems cooperative and antagonistic interactions

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Finite-Time Resilient Formation Control with Bounded Inputs 57

Finite-Time Resilient Formation Control with Bounded Inputs

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57th IEEE Conference on Decision and Control (CDC)

作者： Usevitch, James Garg, Kunal Panagou, Dimitra Univ Michigan Dept Aerosp Engn Ann Arbor MI 48109 USA

ISBN: (纸本)9781538613955

In this paper we consider the problem of a multiagent system achieving a formation in the presence of misbehaving or adversarial agents. We introduce a novel continuous time resilient controller to guarantee that normally behaving agents can converge to a formation with respect to a set of leaders. The controller employs a norm-based filtering mechanism, and unlike most prior algorithms, also incorporates input bounds. In addition, the controller is shown to guarantee convergence in finite time. A sufficient condition for the controller to guarantee convergence is shown to be a graph theoretical structure which we denote as Resilient Directed Acyclic Graph (RDAG). Further, we employ our filtering mechanism on a discrete time system which is shown to have exponential convergence. Our results are demonstrated through simulations.

关键词： Convergence Directed acyclic graph Discrete-time systems Protocols consensus algorithm Military aircraft Redundancy

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Gossip algorithms that Preserve Privacy for Distributed Computation Part I: The algorithms and Convergence Conditions 57

Gossip Algorithms that Preserve Privacy for Distributed Comp...

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57th IEEE Conference on Decision and Control (CDC)

作者： Liu, Yang Wu, Junfeng Manchester, Ian R. Shi, Guodong Australian Natl Univ Res Sch Engn Canberra ACT 0200 Australia Zhejiang Univ Coll Control Sci & Engn Hangzhou 310027 Zhejiang Peoples R China Univ Sydney Australian Ctr Field Robot Sydney NSW 2006 Australia

ISBN: (纸本)9781538613955

Gossip protocols play an important role in disseminating information and solving global tasks over networks in a distributed fashion. In this paper, we propose gossip algorithms that preserve the sum of network states (and therefore the average), while fully protecting node privacy even against eaves-droppers possessing the entire information flow and network knowledge. At each time step, a node is selected to interact with one of its neighbors via deterministic or random gossiping. The selected node generates a random number to replace its current state, and sends to the neighbor the difference between the current state and the random number. On receiving the data from the selected node, the neighbor sets its new state as the sum of its current state and the difference. The algorithms can be used as a simple encryption step in distributed optimization and computation algorithms. In this Part I, we study the output statistics of the proposed algorithms with deterministic edge sequence selection, in addition to the convergence limits and encryption time of their randomized version.

关键词： Privacy consensus algorithm Convergence Optimization Encryption Knowledge engineering Resilience

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