Optimal Wind DG Integration for Security Risk-Based Line Overload Enhancement: A Two Stage Approach
Line congestion margin is the available line capacity before the line becomes fully loaded. It is a quantity to measure the transmission lines security level. Placing of large scale distributed generation (DGs) units can be a key technique to alleviate line congestion, hence enhance the transmission...
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8954609/ |
| _version_ | 1828890760848605184 |
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| author | Tarek Medalel Masaud Ehab. F. El-Saadany |
| author_facet | Tarek Medalel Masaud Ehab. F. El-Saadany |
| author_sort | Tarek Medalel Masaud |
| collection | DOAJ |
| description | Line congestion margin is the available line capacity before the line becomes fully loaded. It is a quantity to measure the transmission lines security level. Placing of large scale distributed generation (DGs) units can be a key technique to alleviate line congestion, hence enhance the transmission line congestion margin, and grid security levels. However, the influence of DG integration on line congestion margin is effective at locations where transmission lines operate near to their maximum capacity. In addition, determining the required penetration level of DG (DG size) is crucial for maximizing the DG system support benefits in transmission system. A two stage approach is presented in this paper for optimal integration of large-scale wind DG for improving line congestion risk based on the congestion margin level. In stage one, a probabilistic approach is developed to predict lines with the highest probability to be congested considering the uncertainty of the line congestion margin. Once lines with a highest risk to be congested are determined at the end of the first stage, the result from stage one is employed to place DG at the node bus to which the predicted most congested line is delivering power. A Mixed Integer Linear Programing (MILP) optimization model is developed in the second stage to determine the optimal DG penetration level (DG size) for improving transmission line congestion margin considering transmission line investment deferral. |
| first_indexed | 2024-12-13T13:04:47Z |
| format | Article |
| id | doaj.art-cf70c8d0697748a8825835af8dc3a619 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T13:04:47Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-cf70c8d0697748a8825835af8dc3a6192022-12-21T23:44:51ZengIEEEIEEE Access2169-35362020-01-018119391194710.1109/ACCESS.2020.29651578954609Optimal Wind DG Integration for Security Risk-Based Line Overload Enhancement: A Two Stage ApproachTarek Medalel Masaud0https://orcid.org/0000-0003-0976-4421Ehab. F. El-Saadany1https://orcid.org/0000-0003-0172-0686Weisberg Division of Engineering, Marshall University, Huntington, WV, USAEECS Department, Advanced Power and Energy Center, Khalifa University, Abu Dhabi, UAELine congestion margin is the available line capacity before the line becomes fully loaded. It is a quantity to measure the transmission lines security level. Placing of large scale distributed generation (DGs) units can be a key technique to alleviate line congestion, hence enhance the transmission line congestion margin, and grid security levels. However, the influence of DG integration on line congestion margin is effective at locations where transmission lines operate near to their maximum capacity. In addition, determining the required penetration level of DG (DG size) is crucial for maximizing the DG system support benefits in transmission system. A two stage approach is presented in this paper for optimal integration of large-scale wind DG for improving line congestion risk based on the congestion margin level. In stage one, a probabilistic approach is developed to predict lines with the highest probability to be congested considering the uncertainty of the line congestion margin. Once lines with a highest risk to be congested are determined at the end of the first stage, the result from stage one is employed to place DG at the node bus to which the predicted most congested line is delivering power. A Mixed Integer Linear Programing (MILP) optimization model is developed in the second stage to determine the optimal DG penetration level (DG size) for improving transmission line congestion margin considering transmission line investment deferral.https://ieeexplore.ieee.org/document/8954609/Line congestion margindistributed generationtransmission line security |
| spellingShingle | Tarek Medalel Masaud Ehab. F. El-Saadany Optimal Wind DG Integration for Security Risk-Based Line Overload Enhancement: A Two Stage Approach IEEE Access Line congestion margin distributed generation transmission line security |
| title | Optimal Wind DG Integration for Security Risk-Based Line Overload Enhancement: A Two Stage Approach |
| title_full | Optimal Wind DG Integration for Security Risk-Based Line Overload Enhancement: A Two Stage Approach |
| title_fullStr | Optimal Wind DG Integration for Security Risk-Based Line Overload Enhancement: A Two Stage Approach |
| title_full_unstemmed | Optimal Wind DG Integration for Security Risk-Based Line Overload Enhancement: A Two Stage Approach |
| title_short | Optimal Wind DG Integration for Security Risk-Based Line Overload Enhancement: A Two Stage Approach |
| title_sort | optimal wind dg integration for security risk based line overload enhancement a two stage approach |
| topic | Line congestion margin distributed generation transmission line security |
| url | https://ieeexplore.ieee.org/document/8954609/ |
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