Methodology for Implementing the State Estimation in Renewable Energy Management Systems
This paper describes a methodology for implementing the state estimation and enhancing the accuracy in large-scale power systems that partially depend on variable renewable energy resources. To determine the actual states of electricity grids, including those of wind and solar power systems, the pro...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/8/2301 |
| _version_ | 1797537114919796736 |
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| author | Yun-Sung Cho Yun-Hyuk Choi |
| author_facet | Yun-Sung Cho Yun-Hyuk Choi |
| author_sort | Yun-Sung Cho |
| collection | DOAJ |
| description | This paper describes a methodology for implementing the state estimation and enhancing the accuracy in large-scale power systems that partially depend on variable renewable energy resources. To determine the actual states of electricity grids, including those of wind and solar power systems, the proposed state estimation method adopts a fast-decoupled weighted least square approach based on the architecture of application common database. Renewable energy modeling is considered on the basis of the point of data acquisition, the type of renewable energy, and the voltage level of the bus-connected renewable energy. Moreover, the proposed algorithm performs accurate bad data processing using inner and outer functions. The inner function is applied to the largest normalized residue method to process the bad data detection, identification and adjustment. While the outer function is analyzed whether the identified bad measurements exceed the condition of Kirchhoff’s current law. In addition, to decrease the topology and measurement errors associated with transformers, a connectivity model is proposed for transformers that use switching devices, and a transformer error processing technique is proposed using a simple heuristic method. To verify the performance of the proposed methodology, we performed comprehensive tests based on a modified IEEE 18-bus test system and a large-scale power system that utilizes renewable energy. |
| first_indexed | 2024-03-10T12:11:24Z |
| format | Article |
| id | doaj.art-4bf90c29eb65487aa1ed140c2ea46691 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T12:11:24Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-4bf90c29eb65487aa1ed140c2ea466912023-11-21T16:12:17ZengMDPI AGEnergies1996-10732021-04-01148230110.3390/en14082301Methodology for Implementing the State Estimation in Renewable Energy Management SystemsYun-Sung Cho0Yun-Hyuk Choi1School of Electrical Engineering, Daegu Catholic University, Gyeongbuk 38430, KoreaSchool of Electrical Engineering, Daegu Catholic University, Gyeongbuk 38430, KoreaThis paper describes a methodology for implementing the state estimation and enhancing the accuracy in large-scale power systems that partially depend on variable renewable energy resources. To determine the actual states of electricity grids, including those of wind and solar power systems, the proposed state estimation method adopts a fast-decoupled weighted least square approach based on the architecture of application common database. Renewable energy modeling is considered on the basis of the point of data acquisition, the type of renewable energy, and the voltage level of the bus-connected renewable energy. Moreover, the proposed algorithm performs accurate bad data processing using inner and outer functions. The inner function is applied to the largest normalized residue method to process the bad data detection, identification and adjustment. While the outer function is analyzed whether the identified bad measurements exceed the condition of Kirchhoff’s current law. In addition, to decrease the topology and measurement errors associated with transformers, a connectivity model is proposed for transformers that use switching devices, and a transformer error processing technique is proposed using a simple heuristic method. To verify the performance of the proposed methodology, we performed comprehensive tests based on a modified IEEE 18-bus test system and a large-scale power system that utilizes renewable energy.https://www.mdpi.com/1996-1073/14/8/2301renewable energy management systemstate estimationbad data processingrenewable modeling based on telemeter pointtap position estimation |
| spellingShingle | Yun-Sung Cho Yun-Hyuk Choi Methodology for Implementing the State Estimation in Renewable Energy Management Systems Energies renewable energy management system state estimation bad data processing renewable modeling based on telemeter point tap position estimation |
| title | Methodology for Implementing the State Estimation in Renewable Energy Management Systems |
| title_full | Methodology for Implementing the State Estimation in Renewable Energy Management Systems |
| title_fullStr | Methodology for Implementing the State Estimation in Renewable Energy Management Systems |
| title_full_unstemmed | Methodology for Implementing the State Estimation in Renewable Energy Management Systems |
| title_short | Methodology for Implementing the State Estimation in Renewable Energy Management Systems |
| title_sort | methodology for implementing the state estimation in renewable energy management systems |
| topic | renewable energy management system state estimation bad data processing renewable modeling based on telemeter point tap position estimation |
| url | https://www.mdpi.com/1996-1073/14/8/2301 |
| work_keys_str_mv | AT yunsungcho methodologyforimplementingthestateestimationinrenewableenergymanagementsystems AT yunhyukchoi methodologyforimplementingthestateestimationinrenewableenergymanagementsystems |