The development of power system restoration method for a bulk power system by applying knowledge engineering techniques

Kojima, Yoshiyuki; Warashina, Shigeru; Kato, Masakazu; Watanabe, H.

doi:10.1109/59.32621

Cited by 72 publications

(13 citation statements)

References 9 publications

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“…One of the earliest knowledge-based systems for power systems operations was developed in the area of restoration (generation and network control) [48]. Since then, quite a few other systems have been developed for assisting operators in quickly restoring the power systems after an outage [49,50,51]. Some work is also being done in using knowledge-based assistance for transaction planning, real time corrective control, and load forecasting [35].…”

Section: Knowledge-based Agentsmentioning

confidence: 99%

Multiagent organizations for real-time operations

et al. 1992

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The real-time operations of electric power networks are subject to two sets of forces. The first, including deregulation movements and growing environmental concerns, is acting to increase the complexity of operations. The second, including new computer technologies and emerging knowledge-based agents, provides some means for handling additional complexity. This paper argues that organizational changes will have to be made before the second set of forces can be applied to effectively counter the first. To make this argument, the paper presents a framework for discussing organizational structures. Then it reviews the structures of the two generations of computer-based, multi-agent systems that have been developed for operations. It points out that these structures are well-suited to the algorithmic tasks involved in operations but not to the knowledge-based tasks. The paper concludes with some suggestions for research into alternative structures.

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Section: Knowledge-based Agentsmentioning

confidence: 99%

Multiagent organizations for real-time operations

et al. 1992

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“…Due to complexity many restoration studies for complete collapse rely on knowledge-based method using system operators' experiences [2][3][4][5]. In the knowledge-based method system operator sets the restoration priority and determines the reasonable paths for restoration based on his or her previous (and often limited) experience.…”

Section: Introductionmentioning

confidence: 99%

“…The studies of electricity supply infrastructure restoration have a long history [1][2][3][4][5]. Typically, the power system collapse is classified into two categories: the state of partial collapse and the state of complete collapse [1].…”

Section: Introductionmentioning

confidence: 99%

Power system restoration plan using the characteristics of scale‐free networks

Kim

Yoon

Lee³

et al. 2008

Int Trans Elec Energy Syst

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SUMMARYA reliable electricity supply infrastructure is fundamental to modern living. An interruption to electricity services has such far reaching impact to our everyday lives to various industries compared to other service interruptions, thus to build in significant redundancy and various preventive measures to electric power system operation and planning is needed. Just as important as to incorporate redundancy and preventive measures however, an effective restoration plan needs to be in place since the possibility of electricity service interruption cannot be eliminated completely.In this paper, a novel power system restoration plan that utilizes the characteristic of so-called scale-free networks is proposed. For a scale-free network, the importance of each node is determined based on the number of connections made to other nodes in that the nodes with many connections, thus important, are called ''hubs.'' A scale-free network is a special complex network which follows a power law distribution, that is few hubs and many nodes with few connections at various system sizes. In the proposed plan the hubs are restored before other insignificant nodes in the system. It is shown that by doing so, the total restoration time can be reduced considerably, and notable improvements can be achieved with respect to the objective function in the mathematical formulation of electric power system restoration problem with a few constraints introduced in this paper. The effectiveness of proposed plan is tested with one of the planning problems such as valuation of black-start capable generators using IEEE-30 bus system.

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“…The problem of obtaining a target system is referred to as a power system restoration. To obtain the target configuration, various approaches have so far been proposed, which can be roughly classified into four categories: heuristics [1]- [5], [13], expert systems (ESs) [4], [6]- [11], mathematical programming (MP) [11], and soft computing [12]. The challenge of optimizing power systems in faulty conditions bring about a lot of work in exploring different and efficient ways of optimization of network reconfigurations.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Agent Approach to the More Electric Aircraft Power System Reconfiguration

Bian

Zhou

2007

2007 International Conference on Mechatronics and Automation

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This paper proposes a multi-agent approach to reconfiguration for power system restoration applied to the More Electric Aircraft (MEA) power system presenting a redundant power distribution layout. The Multi-agent method has been applied in order to make the power system reconfiguration, when fault happened. The restoration process has been achieved by the agents and the simulations have been conducted with different cases of operation mode of the MEA. The restoration configurations were derived through a program written in C++ for the agents and the results confirm the feasibility of applying the multi-agent method for restoring the MEA power system.

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The development of power system restoration method for a bulk power system by applying knowledge engineering techniques

Cited by 72 publications

References 9 publications

Multiagent organizations for real-time operations

Multiagent organizations for real-time operations

Power system restoration plan using the characteristics of scale‐free networks

A Multi-Agent Approach to the More Electric Aircraft Power System Reconfiguration

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