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A distributed knowledge method for multi-agent power flow analysis based on consensus algorithms

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2024年 162卷

作者： Saric, Aleksandar A. Khan, Usman A. Stankovic, Aleksandar M. Tufts Univ Dept Elect & Comp Engn Medford MA 02155 USA SLAC Natl Accelerator Lab Menlo Pk CA USA

The paper introduces a novel gradient tracking-based algorithm for solving the power flow problem in a fully distributed manner, using the ab algorithm. The motivation for this work stems from the limitations of centralized approaches, which can be overcome with distributed implementations. Notably, the proposed distributed algorithm eliminates the need for a central monitoring facility, allowing all calculations, input data, and network intelligence to remain within individual buses (agents), thus removing single points of failure and preserving data privacy. The paper presents how this can be achieved by reformulating the power flow study as a purely distributed optimization problem, and then applying the ab algorithm, which can effectively converge even when only partial system information is available. To enhance the performance of the proposed algorithm, two significant modifications-cost function whitening and momentum-are introduced as an additional contribution, which enables faster convergence (in fewer than 20 iterations) while maintaining accuracy comparable to traditional centralized power flow algorithms. The effectiveness of the proposed framework is validated through tests on IEEE 14- and 300-bus systems, demonstrating its practical applicability and robustness. The paper also examines some extreme operating scenarios, such as instances when communication is lost with parts of the network, or when uncertainty exists in grid parameters.

关键词： Distributed power flow ab algorithm Gradient-based model Single point of failure

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Multi-agent Approach to Multi-area Power System State Estimation Using the Gradient Tracking 52

Multi-agent Approach to Multi-area Power System State Estima...

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52nd North American Power Symposium (NAPS)

作者： Saric, Aleksandar A. Khan, Usman Stankovic, Alex M. Tufts Univ Dept Elect & Comp Engn Medford MA 02155 USA

ISBN: (纸本)9781728181929

In this paper we study the distributed state estimation (SE) in a power system divided into multiple areas, where agents have only partial information about system states and there exist certain communication constraints. Agents from one area only have available local information, but do not have access to measurements in other neighboring areas, which is realistic and widely occurring. Instead, only a limited amount of information is being exchanged (current state estimates and gradients of local functions in neighboring buses). We present a novel approach which combines classical weighted least square (WLS) SE and ab algorithm to promote consensus reaching. On the 300-bus test example with three areas we show that this method has high performance and exponential rate of convergence.

关键词： Distributed state estimation multi-agent approach ab algorithm

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An improved albedo algorithm using mono-angle remote sensing data in rugged terrain and preliminary validation

An improved albedo algorithm using mono-angle remote sensing...

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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Zhao, Xiaojie Liu, Qinhuo Wen, Jianguang Liu, Qiang Chinese Acad Sci Inst Remote Sensing Applicat State Key Lab Remote Sensing Sci Beijing 100101 Peoples R China

ISBN: (纸本)9781467311595

Albedo is essential in earth radiation budget and global climate monitoring. GLASS albedo is a newly developed global broadband land-surface albedo product with 1-km spatial resolution and 1-day temporal resolution. ab algorithm is employed to generate daily albedo product by building a linear regression relationship between narrowband directional reflectance and broadband albedo. ab algorithm avoids the restrictions on the observing angles, but suffers from the assumption that the land surface should be homogeneous and flat without terrain relief. In our research, we proposed a technique to improve ab algorithm for retrieving albedo in rugged terrain, which is called Tab algorithm. The preliminary validation using simulation data indicated that the accuracy of ab algorithm could be significantly improved when the terrain effect is considered.

关键词： broadband albedo terrain relief ab algorithm Tab algorithm

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An improved albedo algorithm using mono-angle remote sensing data in rugged terrain and preliminary validation

An improved albedo algorithm using mono-angle remote sensing...

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IEEE International Geoscience and Remote Sensing Symposium

作者： Xiaojie Zhao Qinhuo Liu Jianguang Wen Qiang Liu State Key Laboratory of Remote Sensing Science Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Science and Beijing Normal University

ISBN: (纸本)9781467311601

关键词： Broadband albedo Terrain relief ab algorithm Tab algorithm

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A Research on Dynamics of a Hexapod with Closed-Loop Legs

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1st International Conference Intelligent Robotics and Applications

作者： Shen, Jingjin Li, Chenggang Wu, Hongtao Nanjing Univ Aeronaut & Astronaut Coll Mech Engn Nanjing 210016 Peoples R China

ISBN: (纸本)9783540885160

We design a hexapod with closed-loop legs which can achieve locomotion in the horizontal plane with small vertical displacement changes. Furthermore, the hexapod does not need any control if it uses the tripod gait to achieve straight movement, due to the specific property of its leg. Because the efficiency of dynamics computation plays an important role in many applications, so we combine the ab algorithm of Featherstone which is suited for the manipulator with a fixed base, the Orin's DTS method which models the contact between the foot of robot with the ground, Brandl's method disposing constraint problems and a constraint violation stability method which selects the Baumgert parameters dynamically to process a dynamic analysis of the hexapod. At the same time, the hexapod dynamics is analyzed by ADAMS which adopts the Newton-Euler MBDA(multi-body dynamic algorithm) to process the dynamics analysis. The analysis results of the hexapod with these algorithms are compared to show the differences of the results using the two algorithms and distinguish which algorithms needs less calculation operations for the hexapod.

关键词： hexapod closed-loop ab algorithm Newton-Euler MBDA dynamic analysis

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