Tabu Search- and Conservation Voltage Reduction-Based Service Restoration Algorithm for Cold Load Pickup Conditions
Cold load pickup (CLPU) has become a major concern for distribution systems as the use of thermostatically controlled devices continues to increase. CLPU reduces load diversity, which thus increases the total load on the system. Without a sufficient supply, the system must be divided into sections a...
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Published in | Journal of electrical engineering & technology Vol. 15; no. 2; pp. 591 - 600 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Singapore
Springer Singapore
01.03.2020
대한전기학회 |
Subjects | |
Online Access | Get full text |
ISSN | 1975-0102 2093-7423 |
DOI | 10.1007/s42835-020-00349-1 |
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Abstract | Cold load pickup (CLPU) has become a major concern for distribution systems as the use of thermostatically controlled devices continues to increase. CLPU reduces load diversity, which thus increases the total load on the system. Without a sufficient supply, the system must be divided into sections and sequentially restored to prevent system overload, which can lead to a second blackout. This paper presents a service restoration strategy that optimizes the sequence of section restoration to minimize the total restoration time without additional generation in the system. The search for the optimum combination of restored sections is performed by implementing Tabu Search (TS). The CLPU effects are mitigated by using conservation voltage reduction (CVR). The power consumption of the load will decrease, which allow more load sections to be connected without overloading the system. To verify the algorithm, two simulations were performed. The first simulation compares the performance of the proposed algorithm to that of the greedy algorithm. The second simulation demonstrates the superior ability of the proposed algorithm to maintain an acceptable operating voltage during the restoration process. |
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AbstractList | Cold load pickup (CLPU) has become a major concern for distribution systems as the use of thermostatically controlled devices continues to increase. CLPU reduces load diversity, which thus increases the total load on the system. Without a sufcient supply, the system must be divided into sections and sequentially restored to prevent system overload, which can lead to a second blackout. This paper presents a service restoration strategy that optimizes the sequence of section restoration to minimize the total restoration time without additional generation in the system. The search for the optimum combination of restored sections is performed by implementing Tabu Search (TS). The CLPU efects are mitigated by using conservation voltage reduction (CVR). The power consumption of the load will decrease, which allow more load sections to be connected without overloading the system. To verify the algorithm, two simulations were performed. The frst simulation compares the performance of the proposed algorithm to that of the greedy algorithm. The second simulation demonstrates the superior ability of the proposed algorithm to maintain an acceptable operating voltage during the restoration process. KCI Citation Count: 0 Cold load pickup (CLPU) has become a major concern for distribution systems as the use of thermostatically controlled devices continues to increase. CLPU reduces load diversity, which thus increases the total load on the system. Without a sufficient supply, the system must be divided into sections and sequentially restored to prevent system overload, which can lead to a second blackout. This paper presents a service restoration strategy that optimizes the sequence of section restoration to minimize the total restoration time without additional generation in the system. The search for the optimum combination of restored sections is performed by implementing Tabu Search (TS). The CLPU effects are mitigated by using conservation voltage reduction (CVR). The power consumption of the load will decrease, which allow more load sections to be connected without overloading the system. To verify the algorithm, two simulations were performed. The first simulation compares the performance of the proposed algorithm to that of the greedy algorithm. The second simulation demonstrates the superior ability of the proposed algorithm to maintain an acceptable operating voltage during the restoration process. |
Author | Widiputra, Victor Jung, Jaesung |
Author_xml | – sequence: 1 givenname: Victor surname: Widiputra fullname: Widiputra, Victor organization: Department of Energy Systems Research, Ajou University, Power System Laboratory Energy Center 210, Ajou University – sequence: 2 givenname: Jaesung orcidid: 0000-0001-8762-637X surname: Jung fullname: Jung, Jaesung email: jjung@ajou.ac.kr organization: Department of Energy Systems Research, Ajou University, Department of Electrical and Computer Engineering, Ajou University, Power System Laboratory Energy Center 210, Ajou University |
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Keywords | Power system restoration Cold-load pickup (CLPU) Tabu search (TS) Greedy algorithm (GA) Conservation voltage reduction (CVR) |
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Title | Tabu Search- and Conservation Voltage Reduction-Based Service Restoration Algorithm for Cold Load Pickup Conditions |
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