Interval optimal power flow applied to distribution networks under uncertainty of loads and renewable resources
Abstract Optimal power flow (OPF) has been used for energy dispatching in active distribution networks. To satisfy constraints fully and achieve strict operational bounds under the uncertainties from loads and sources, this paper derives an interval optimal power flow (I-OPF) method employing affine...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-10-01
|
| Series: | Journal of Modern Power Systems and Clean Energy |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1007/s40565-018-0462-9 |
| _version_ | 1818610924159762432 |
|---|---|
| author | Pengwei CHEN Xiangning XIAO Xuhui WANG |
| author_facet | Pengwei CHEN Xiangning XIAO Xuhui WANG |
| author_sort | Pengwei CHEN |
| collection | DOAJ |
| description | Abstract Optimal power flow (OPF) has been used for energy dispatching in active distribution networks. To satisfy constraints fully and achieve strict operational bounds under the uncertainties from loads and sources, this paper derives an interval optimal power flow (I-OPF) method employing affine arithmetic and interval Taylor expansion. An enhanced I-OPF method based on successive linear approximation and second-order cone programming is developed to improve solution accuracy. The proposed methods are benchmarked against Monte Carlo simulation (MCS) and stochastic OPF. Tests on a modified IEEE 33-bus system and a real 113-bus distribution network validate the effectiveness and applicability of the proposed methods. |
| first_indexed | 2024-12-16T15:22:09Z |
| format | Article |
| id | doaj.art-99c046a3cc80402388f708b0a2c7b721 |
| institution | Directory Open Access Journal |
| issn | 2196-5625 2196-5420 |
| language | English |
| last_indexed | 2024-12-16T15:22:09Z |
| publishDate | 2018-10-01 |
| publisher | IEEE |
| record_format | Article |
| series | Journal of Modern Power Systems and Clean Energy |
| spelling | doaj.art-99c046a3cc80402388f708b0a2c7b7212022-12-21T22:26:36ZengIEEEJournal of Modern Power Systems and Clean Energy2196-56252196-54202018-10-017113915010.1007/s40565-018-0462-9Interval optimal power flow applied to distribution networks under uncertainty of loads and renewable resourcesPengwei CHEN0Xiangning XIAO1Xuhui WANG2North China Electric Power UniversityNorth China Electric Power UniversityHefei University of TechnologyAbstract Optimal power flow (OPF) has been used for energy dispatching in active distribution networks. To satisfy constraints fully and achieve strict operational bounds under the uncertainties from loads and sources, this paper derives an interval optimal power flow (I-OPF) method employing affine arithmetic and interval Taylor expansion. An enhanced I-OPF method based on successive linear approximation and second-order cone programming is developed to improve solution accuracy. The proposed methods are benchmarked against Monte Carlo simulation (MCS) and stochastic OPF. Tests on a modified IEEE 33-bus system and a real 113-bus distribution network validate the effectiveness and applicability of the proposed methods.http://link.springer.com/article/10.1007/s40565-018-0462-9Active distribution networkOptimal power flowInterval uncertaintyAffine arithmeticSecond-order cone programming |
| spellingShingle | Pengwei CHEN Xiangning XIAO Xuhui WANG Interval optimal power flow applied to distribution networks under uncertainty of loads and renewable resources Journal of Modern Power Systems and Clean Energy Active distribution network Optimal power flow Interval uncertainty Affine arithmetic Second-order cone programming |
| title | Interval optimal power flow applied to distribution networks under uncertainty of loads and renewable resources |
| title_full | Interval optimal power flow applied to distribution networks under uncertainty of loads and renewable resources |
| title_fullStr | Interval optimal power flow applied to distribution networks under uncertainty of loads and renewable resources |
| title_full_unstemmed | Interval optimal power flow applied to distribution networks under uncertainty of loads and renewable resources |
| title_short | Interval optimal power flow applied to distribution networks under uncertainty of loads and renewable resources |
| title_sort | interval optimal power flow applied to distribution networks under uncertainty of loads and renewable resources |
| topic | Active distribution network Optimal power flow Interval uncertainty Affine arithmetic Second-order cone programming |
| url | http://link.springer.com/article/10.1007/s40565-018-0462-9 |
| work_keys_str_mv | AT pengweichen intervaloptimalpowerflowappliedtodistributionnetworksunderuncertaintyofloadsandrenewableresources AT xiangningxiao intervaloptimalpowerflowappliedtodistributionnetworksunderuncertaintyofloadsandrenewableresources AT xuhuiwang intervaloptimalpowerflowappliedtodistributionnetworksunderuncertaintyofloadsandrenewableresources |