Load restoration optimization during last stage of network reconfiguration

Qu, Hanbing; Yin, Maolin; Lin, Shu

doi:10.1109/ciced.2014.6991870

Cited by 8 publications

(3 citation statements)

References 9 publications

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“…In the first two strategies, multi-attribute decision method is used during comprehensive assessment of each target [9]. In the load restoration strategy, PSO based global optimization method is used to determine the sequence of load pickup [10]. Dijkstra algorithm is used to search the shortest path (Setting the weight as the reactive capacity of line).…”

Section: B Local Objects Optimization Methodsmentioning

confidence: 99%

An intelligent real-time decision support tool for power system restoration

Cao

Wang

2013

2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

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Power system restoration after a blackout is an urgent and complicated task. In order to enhance the resilience and self-healing capabilities of a smart grid, an advanced decision tool is needed. This paper introduces a real-time decision support system for power grid restoration which can recognize the blackout scenario and generate the restoration scheme automatically. A local object optimization method and a leaderfollower hierarchical coordination strategy are proposed to make restoration decisions in multiple temporal-spatial scales. This system can provide real-time data analysis, network modeling, intelligent decision service and rich functions of human-machine interaction and security check. A restoration simulation module is developed and a case library is built, so it can also be used for dispatcher training in off-line mode. The application in Shandong power grid of China verifies the practicality and reliability of this system.

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Section: B Local Objects Optimization Methodsmentioning

confidence: 99%

An intelligent real-time decision support tool for power system restoration

Cao

Wang

2013

2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

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“…In the load restoration stage, the optimization objectives are to maximize the weighted load restoration amount [25] and minimize the load restoration time [26], and optimization methods such as mathematical programming [27], heuristic [28] and meta-heuristic [29] are adopted to solve the problem. Literature [30] puts forward a closed-loop control strategy for load restoration based on wide area measurement system.…”

Section: Load Restorationmentioning

confidence: 99%

A Review on Decision-making Methods for Restoration Control of Transmission and Distribution Systems

Yuan

Zheng

et al. 2022

J. Phys.: Conf. Ser.

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Power system blackouts can’t be avoided fundamentally, so it is of great significance to realize the adaptive and collaborative restoration control of transmission and distribution system to improve the power system blackout defense capability. In this paper, the existing researches are summarized from three aspects, i.e., decision-making of transmission system restoration control, decision-making of distribution system restoration control, decision-making of transmission and distribution coordinated restoration control, the research difficulties are expounded, and the future research directions are prospected. In view of the characteristics of multi-level, cross-regional, multi-stage and strong uncertainty of collaborative restoration control of transmission and distribution systems, it is pointed out that the establishment of restoration decision support system by comprehensive application of optimization algorithms, expert rules and numerical simulation programs is an important mean to realize adaptive restoration control.

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“…Regarding load restoration in the last stage of network reconfiguration, Ref. [64] presents a combinatorial optimization model to address the sequencing problem of load pickup.…”

Section: Load Restoration Amountmentioning

confidence: 99%

Power system restoration: a literature review from 2006 to 2016

Liu

Fan

Terzija

2016

J. Mod. Power Syst. Clean Energy

237

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Power system restoration has attracted more attention and made great progress recently. Research progress of the power system restoration from 2006 to 2016 is reviewed in this paper, including black-start, network reconfiguration and load restoration. Some emerging methods and key techniques are also discussed in the context of the integration of variable renewable energy and development of the smart grid. There is a long way to go to achieve automatic self-healing in bulk power systems because of its extreme complexity. However, rapidly developing artificial intelligence technology will eventually enable the step-by-step dynamic decision-making based on the situation awareness of supervisory control and data acquisition systems (SCADA) and wide area measurement systems (WAMS) in the near future.

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Load restoration optimization during last stage of network reconfiguration

Cited by 8 publications

References 9 publications

An intelligent real-time decision support tool for power system restoration

An intelligent real-time decision support tool for power system restoration

A Review on Decision-making Methods for Restoration Control of Transmission and Distribution Systems

Power system restoration: a literature review from 2006 to 2016

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