Multi-Time Scale Optimal Scheduling of Regional Integrated Energy Systems Considering Integrated Demand Response
The regional integrated energy system (RIES) is an important place for energy development such as multi-energy complementarities and energy Internet, RIES has important application value for realizing sustainable energy development and building a lower-carbon society, the dissipation of renewable en...
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8947986/ |
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| author | Haizhu Yang Menglong Li Zhaoyang Jiang Peng Zhang |
| author_facet | Haizhu Yang Menglong Li Zhaoyang Jiang Peng Zhang |
| author_sort | Haizhu Yang |
| collection | DOAJ |
| description | The regional integrated energy system (RIES) is an important place for energy development such as multi-energy complementarities and energy Internet, RIES has important application value for realizing sustainable energy development and building a lower-carbon society, the dissipation of renewable energy and the stabilization of load fluctuations have brought challenges to its optimal operation. Integrated demand response (IDR) is detailedly described by price-based and alternative response. Establish a day-ahead and intraday optimization scheduling model considering the demand side response. According to the difference of scheduling time of each energy subsystem of electric, cooling/heating and natural gas, it is divided into three sub-layers of slow control, intermediate control and fast control to perform rolling optimization scheduling. The example analysis shows that the multi-time scale optimization scheduling model can meet the supply and demand balance of the system, and can also restrain the fluctuation of renewable energy and load intraday, improve the stability of the system, and further reduce the operating cost of the system. |
| format | Article |
| id | doaj-art-9f51a55850084e0fb43c2ac5d3de38a0 |
| institution | Matheson Library |
| issn | 2169-3536 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-9f51a55850084e0fb43c2ac5d3de38a02025-06-30T23:00:29ZengIEEEIEEE Access2169-35362020-01-0185080509010.1109/ACCESS.2019.29634638947986Multi-Time Scale Optimal Scheduling of Regional Integrated Energy Systems Considering Integrated Demand ResponseHaizhu Yang0Menglong Li1https://orcid.org/0000-0003-4912-6061Zhaoyang Jiang2Peng Zhang3School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, ChinaSchool of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, ChinaSchool of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, ChinaSchool of Electrical and Information Engineering, Tianjin University, Tianjin, ChinaThe regional integrated energy system (RIES) is an important place for energy development such as multi-energy complementarities and energy Internet, RIES has important application value for realizing sustainable energy development and building a lower-carbon society, the dissipation of renewable energy and the stabilization of load fluctuations have brought challenges to its optimal operation. Integrated demand response (IDR) is detailedly described by price-based and alternative response. Establish a day-ahead and intraday optimization scheduling model considering the demand side response. According to the difference of scheduling time of each energy subsystem of electric, cooling/heating and natural gas, it is divided into three sub-layers of slow control, intermediate control and fast control to perform rolling optimization scheduling. The example analysis shows that the multi-time scale optimization scheduling model can meet the supply and demand balance of the system, and can also restrain the fluctuation of renewable energy and load intraday, improve the stability of the system, and further reduce the operating cost of the system.https://ieeexplore.ieee.org/document/8947986/Regional integrated energy systemintegrated demand responsemulti-time scaleintraday optimalthe minimum cost of scheduling |
| spellingShingle | Haizhu Yang Menglong Li Zhaoyang Jiang Peng Zhang Multi-Time Scale Optimal Scheduling of Regional Integrated Energy Systems Considering Integrated Demand Response IEEE Access Regional integrated energy system integrated demand response multi-time scale intraday optimal the minimum cost of scheduling |
| title | Multi-Time Scale Optimal Scheduling of Regional Integrated Energy Systems Considering Integrated Demand Response |
| title_full | Multi-Time Scale Optimal Scheduling of Regional Integrated Energy Systems Considering Integrated Demand Response |
| title_fullStr | Multi-Time Scale Optimal Scheduling of Regional Integrated Energy Systems Considering Integrated Demand Response |
| title_full_unstemmed | Multi-Time Scale Optimal Scheduling of Regional Integrated Energy Systems Considering Integrated Demand Response |
| title_short | Multi-Time Scale Optimal Scheduling of Regional Integrated Energy Systems Considering Integrated Demand Response |
| title_sort | multi time scale optimal scheduling of regional integrated energy systems considering integrated demand response |
| topic | Regional integrated energy system integrated demand response multi-time scale intraday optimal the minimum cost of scheduling |
| url | https://ieeexplore.ieee.org/document/8947986/ |
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