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基于破产问题的多主体微电网运行中的负荷削减方法。

A bankruptcy problem approach to load-shedding in multiagent-based microgrid operation.

机构信息

Department of Electrical Engineering, University of Incheon / 12-1, Sondo-dong, Yeonsu-gu, Incheon, 406-840, Korea.

出版信息

Sensors (Basel). 2010;10(10):8888-98. doi: 10.3390/s101008888. Epub 2010 Sep 28.

DOI:10.3390/s101008888
PMID:22163386
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3230938/
Abstract

A microgrid is composed of distributed power generation systems (DGs), distributed energy storage devices (DSs), and loads. To maintain a specific frequency in the islanded mode as an important requirement, the control of DGs' output and charge action of DSs are used in supply surplus conditions and load-shedding and discharge action of DSs are used in supply shortage conditions. Recently, multiagent systems for autonomous microgrid operation have been studied. Especially, load-shedding, which is intentional reduction of electricity use, is a critical problem in islanded microgrid operation based on the multiagent system. Therefore, effective schemes for load-shedding are required. Meanwhile, the bankruptcy problem deals with dividing short resources among multiple agents. In order to solve the bankruptcy problem, division rules, such as the constrained equal awards rule (CEA), the constrained equal losses rule (CEL), and the random arrival rule (RA), have been used. In this paper, we approach load-shedding as a bankruptcy problem. We compare load-shedding results by above-mentioned rules in islanded microgrid operation based on wireless sensor network (WSN) as the communication link for an agent's interactions.

摘要

微电网由分布式发电系统(DGs)、分布式储能装置(DSs)和负载组成。为了维持孤岛模式下的特定频率,在供电过剩的情况下,使用 DG 的输出控制和 DS 的充电动作,在供电不足的情况下,使用 DS 的负荷削减和放电动作。最近,针对自主微电网运行的多代理系统进行了研究。特别是,基于多代理系统的孤岛微电网运行中的负荷削减是一个关键问题。因此,需要有效的负荷削减方案。同时,破产问题涉及到将短期资源分配给多个代理。为了解决破产问题,已经使用了划分规则,例如受约束的等额奖励规则(CEA)、受约束的等额损失规则(CEL)和随机到达规则(RA)。在本文中,我们将负荷削减视为破产问题。我们通过上述规则在基于无线传感器网络(WSN)的孤岛微电网运行中进行了负荷削减结果的比较,WSN 作为代理交互的通信链路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab37/3230938/35d655e9106c/sensors-10-08888f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab37/3230938/54adcf9e8a9a/sensors-10-08888f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab37/3230938/5f7b2c4fc07d/sensors-10-08888f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab37/3230938/309add654724/sensors-10-08888f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab37/3230938/804c28993c62/sensors-10-08888f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab37/3230938/5bc6053e0fa2/sensors-10-08888f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab37/3230938/c01e0f889f82/sensors-10-08888f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab37/3230938/38cbfd99cb30/sensors-10-08888f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab37/3230938/b7a4e07c4f59/sensors-10-08888f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab37/3230938/35d655e9106c/sensors-10-08888f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab37/3230938/54adcf9e8a9a/sensors-10-08888f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab37/3230938/5f7b2c4fc07d/sensors-10-08888f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab37/3230938/309add654724/sensors-10-08888f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab37/3230938/804c28993c62/sensors-10-08888f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab37/3230938/5bc6053e0fa2/sensors-10-08888f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab37/3230938/c01e0f889f82/sensors-10-08888f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab37/3230938/38cbfd99cb30/sensors-10-08888f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab37/3230938/b7a4e07c4f59/sensors-10-08888f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab37/3230938/35d655e9106c/sensors-10-08888f9.jpg

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