• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.11
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• pp.2107-2114
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• 2009

It is impossible to take the instant action in the distribution system When fault occures in a substation because operation of the substation and the distribution system are separated. However the power system automation has been studying about unity operation and co-operation between SCADA and DAS(Distribution Automation System). In this paper proposes a new algorithm of efficiency restoration using a outage load switching to a healthy MTR a fault occurrence at a MTR in united system between DAS and SCADA. In addtion, proposed algorithm includes a outage restoration method which keeps MTR optimal capacity with reorganization of distribution network in case it can not restore outage state loads caused by shortage of healthy MTR remain capacity. In case that proposed sequence still can not complete restoration, this paper suggests a efficiency outage restoration with objective function included priority in outage loads. In the case studies, the proposed algorithm have been verified in 2 MTR and 3 MTR substation

• Proceedings of the KIEE Conference
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• 1996.07b
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• pp.820-822
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• 1996

This paper proposes a method for seeking the scheme of substation restoration by using genetic algorithm. Genetic algorithm (GA), first introduced by John Holland, is becoming an important tool in machine learning and function optimization. GA is a searching or optimization algorithm based on Darwinian biological evolution principle. As a test system, we assume a simple substation system and for the transformer fault, the result is obtained.

• Proceedings of the KIEE Conference
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• 1997.07c
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• pp.761-763
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• 1997

As the power system network is enlarged and complicated gradually, the automation of power system network is essential to enhance the reliability and performance of the operation of power system. Distribution restoration is a major part of the automation. This paper proposes a new distribution restoration system to restore healthy blackout regions by the hierarchical cooperation with the substation automation systems. In proposed system, the range of restoration is extended to substations and the performance as well as the switching efficiency of restoration system is enhanced.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.53 no.11
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• pp.596-603
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• 2004

This paper proposes an expert system based on the pattern recognition method which can enhance the accuracy and effectiveness of real-time bus reconfiguration strategy for the transfer of faulted load when a main transformer fault occurs in the automated substation. The minimum distance classification method is adopted as the pattern recognition method of expert system. The training pattern set is designed MTr by MTr to minimize the searching time for target load pattern which is similar to the real-time load pattern. But the control pattern set, which is required to determine the corresponding bus reconfiguration strategy to these trained load pattern set is designed as one table by considering the efficiency of knowledge base design because its size is small. The training load pattern generator based on load level and the training load pattern generator based on load profile are designed, which are can reduce the size of each training pattern set from max L/sup (m+f)/ to the size of effective level. Here, L is the number of load level, m and f are the number of main transformers and the number of feeders. The one reduces the number of trained load pattern by setting the sawmiller patterns to a same pattern, the other reduces by considering only load pattern while the given period. And control pattern generator based on exhaustive search method with breadth-limit is designed, which generates the corresponding bus reconfiguration strategy to these trained load pattern set. The inference engine of the expert system and the substation database and knowledge base is implemented in MFC function of Visual C++ Finally, the performance and effectiveness of the proposed expert system is verified by comparing the best-first search solution and pattern recognition solution based on diversity event simulations for typical distribution substation.

• Proceedings of the KIEE Conference
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• 2005.11b
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• pp.135-138
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• 2005

This paper focuses on emergency source and control of substation against the consequence of power system breakdown or outage. the aim of the paper is to provide ideas and guidance concerning methods of using AC/DC combined emergency source for power system control to restore power system after unforseen events, such as outages caused by natural disaster. so the emergency source and lamp is very important for restoration control of substation after outage. therefore, this paper proposes countermeasure and method for security of substation emergency source and lamp which is restored at breakdown.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.159_160
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• 2009

In this paper proposes a new algorithm of efficiency outage restoration using a outage load switching to a healthy MTR a fault occurrence at a MTR. In addtion, proposed algorithm includes a outage restoration method which keeps MTR optimal capacity with reorganization of distribution network in case it can not restore outage state loads caused by shortage of healthy MTR remain capacity. In case that proposed sequence still can not complete restoration, this paper suggests a efficiency outage restoration with objective function included priority in outage loads.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.55 no.10
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• pp.410-417
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• 2006

Generally, the training set of maximum $m{\times}L(m+f)$ patterns in the pattern recognition method is required for the real-time bus reconfiguration strategy when a main transformer fault occurs in the distribution substation. Accordingly, to make the application of pattern recognition method possible, the size of the training set must be reduced as efficient level. This Paper proposes a methodology which obtains the minimized training set by applying the pattern clustering method to load patterns of the main transformers and feeders during selected period and to obtain bus reconfiguration strategy based on it. The MaxMin distance clustering algorithm is adopted as the pattern clustering method. The proposed method reduces greatly the number of load patterns to be trained and obtain the satisfactory pattern matching success rate because that it generates the typical pattern clusters by appling the pattern clustering method to load patterns of the main transformers and feeders during selected period. The proposed strategy is designed and implemented in Visual C++ MFC. Finally, availability and accuracy of the proposed methodology and the design is verified from diversity simulation reviews for typical distribution substation.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.53 no.12
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• pp.637-644
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• 2004

This paper proposes an expert system with the knowledge learning capability which can enhance the safety and effectiveness of substation operation in the automated substation as well as existing substation by inferring multiple events such as main transformer fault, busbar fault and main transformer work schedule under multiple inference mode and multiple objective mode and by considering totally the switch status and the main transformer operating constraints. Especially inference mode includes the local minimum tree search method and pattern recognition method to enhance the performance of real-time bus reconfiguration strategy. The inference engine of the expert system consists of intuitive inferencing part and logical inferencing part. The intuitive inferencing part offers the control strategy corresponding to the event which is most similar to the real event by searching based on a minimum distance classification method of pattern recognition methods. On the other hand, logical inferencing part makes real-time control strategy using real-time mode(best-first search method) when the intuitive inferencing is failed. Also, it builds up a knowledge base or appends a new knowledge to the knowledge base using pattern learning function. The expert system has main transformer fault, main transformer maintenance work and bus fault processing function. It is implemented as computer language, Visual C++ which has a dynamic programming function for implementing of inference engine and a MFC function for implementing of MMI. Finally, it's accuracy and effectiveness is proved by several event simulation works for a typical substation.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.11 no.2
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• pp.66-74
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• 2008

In recent years, the view centered conservation for eco-system is getting important rather than development from human oriented perspective. As a result, the concept "Sustainable development", that is seeking harmony between conservation and development, appeared so that we researched distribution and status of vascular plants a site of project in the Bukkyungnam substation. The main findings from the study is as follows. The vascular plants a site of project in the Bukkyungnam substation area was listed 435 taxa; 93 families, 269 genera, 377 species, 1 subspecies, 51 varieties and 6 forms. Specific plant species by floral region were total 25 taxa; Acer palmatum (Planted species), Asperula lasiantha in Class III, Caryopteris incana, Cirsium schantarense in Class II, 21 taxa (Dryopteris erythrosora, Chloranthus japonicus, Salix glandulosa, Alnus hirsuta, Quercus variabilis, Ulmus parvifolia, Clematis patens, Rubus hirsutus, Euphorbia pekinensis, Cayratia japonica, Grewia biloba var. parviflora, Vaccinium oldhami, Microstegium japonicum, Hosta capitata, Polygonatum falcatum, etc.) in Class I. Based on the list of Korean endemic plants, 10 taxa were recorded; Cephalotaxus koreana, Populus tomentiglandulosa (Planted species), Indigofera koreana, Forsythia koreana (Planted species), Paulownia coreana (Planted species), Asperula lasiantha, Weigela subsessilis, Adenophora triphylla var. hirsuta, Carex okamotoi, Lilium amabile and based on the list of the rare plants by the Forest ResearchInstitute, 2 taxa were recorded in the studied areas; Lilium callosum (Preservation priority order; No. 191), Aristolochia contorta (No. 151). The naturalized plants in this site were 13 families, 22 genera, 28 taxa and naturalization rate was 6.4% of all 435 taxa vascular plants.

• Proceedings of the KIEE Conference
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• 2003.07a
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• pp.187-189
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• 2003

This paper presents new service restoration algorithm to deal with multiple faults such as main transformer fault, whole substation fault and simultaneous faults. The most important consideration of restoration planning for multiple outage areas is efficient use of redundant backup feeders. The proposed algorithm tries to restore all outage loads using outage area ordering method and tie switch exchange method that are newly proposed in this paper.