Decentralized Approach to Normal Operations for Power System Network

Nagata, T.; Fujita, Hirofumi; Sasaki, Hiroshi

doi:10.1109/isap.2005.1599298

Cited by 8 publications

(15 citation statements)

References 2 publications

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“…Srivastava et al [12] proposed a similar method, in which a coordinating agent with global information was used for reconfiguration of the shipboard power system. Nagata et al [13] improved the restoration methodology proposed in [11], but facilitator agents were still required for coordination of the agents. Momoh and Diouf [14] refined Nagata and Sasaki's framework [11] and utilised power generation agents, bus agents, and circuit breaker agents to distribute the reconfiguration functionalities.…”

Section: Related Workmentioning

confidence: 99%

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A Hybrid Multiagent Framework With Q-Learning for Power Grid Systems Restoration

Zhang

Sutanto

2011

IEEE Trans. Power Syst.

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Abstract-This paper presents a hybrid multi-agent framework with a Q-learning algorithm to support rapid restoration of power grid systems following catastrophic disturbances involving loss of generators. This framework integrates the advantages of both centralised and decentralised architectures to achieve accurate decision making and quick responses when potential cascading failures are detected in power systems. By using this hybrid framework, which does not rely on a centralised controller, the single point of failure in power grid systems can be avoided. Further, the use of the Q-learning algorithm developed in conjunction with the restorative framework can help the agents to make accurate decisions to protect against cascading failures in a timely manner without requiring a global reward signal. Simulation results demonstrate the effectiveness of the proposed approach in comparison with the typical centralised and decentralised approaches based on several evaluation attributes.

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Section: Related Workmentioning

confidence: 99%

“…However, the system proposed in [14] still needs facilitator agents. The methods proposed in [11], [12], [13], [14] are centralised in nature. The centralised manner may bring the framework the potential of the single point of failure, and limits the scalability of the framework.…”

Section: Related Workmentioning

confidence: 99%

A Hybrid Multiagent Framework With Q-Learning for Power Grid Systems Restoration

Zhang

Sutanto

2011

IEEE Trans. Power Syst.

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“…Srivastava et al [16] proposed a similar method to use a coordinating agent with global information was used for reconfiguration of the shipboard power system. Nagata et al [9] improved the restoration methodology proposed in [10], but facilitator agents were still required for coordination of the agents. Momoh and Diouf [8] refined the work done in [9].…”

Section: Related Workmentioning

confidence: 99%

“…Nagata et al [9] improved the restoration methodology proposed in [10], but facilitator agents were still required for coordination of the agents. Momoh and Diouf [8] refined the work done in [9]. They utilized power generation agents, bus agents, and circuit breaker agents to distribute the reconfiguration functionalities.…”

Section: Related Workmentioning

confidence: 99%

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A Hybrid Multi-Agent Framework for Load Management in Power Grid Systems

Zhang

Bai

et al. 2010

Studies in Computational Intelligence

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Abstract. In order to cope with load management in power grid systems, this paper presents a hybrid multi-agent framework. This framework integrates the advantages of both centralized and decentralized architectures to achieve both accurate decisions and quick response, and avoid the single point of failure as well. The development of various agents and the behaviors of each agent in the framework are described. Moreover, an example is also introduced, which demonstrates the interaction among agents when a fault happens in a power grid system. The contribution of this paper is to combine local intelligence with global coordination in multi-agent system design to satisfy the challenging requirements in a power grid system.

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