Abstract
The integration of renewable energy sources is vastly increased in recent decades considering environmental concerns and lack of fossil fuels. Such integration has appeared novel challenges in electrical energy systems according to their uncertain nature. The hydrogen energy storage (HES) system plays a significant role is power systems by converting extra wind power to the hydrogen using power to hydrogen (P2H) technology. In addition, the emerging technologies such as combined heat and power (CHP) units are effective in increasing the efficiency of power systems. This work presents a day-ahead scheduling scheme for CHP-HES based electrical energy networks with high integration of wind power sources. The effectiveness of the presented model is investigated by implementation on the IEEE 6-bus system. The impact of heat load increment has been studied on scheduling of generation plants, wind power dispatch and operation cost of the system. The simulation results prove that operation cost of the system and wind power curtailment have been decreased using the HES technology.
Original language | English |
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Title of host publication | 2019 27th Iranian Conference on Electrical Engineering (ICEE 2019) |
Subtitle of host publication | 30 April - 2 May 2019, Yazd, Iran |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Pages | 846-851 |
Number of pages | 6 |
ISBN (Electronic) | 9781728115085 |
ISBN (Print) | 9781728115092 |
DOIs | |
Publication status | Published - Apr 2019 |
Event | 27th Iranian Conference on Electrical Engineering (ICEE2019) - Yazd University, Yazd, Iran, Islamic Republic of Duration: 30 Apr 2019 → 2 May 2019 Conference number: 27 http://icee2019.yazd.ac.ir/ |
Conference
Conference | 27th Iranian Conference on Electrical Engineering (ICEE2019) |
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Abbreviated title | ICEE2019 |
Country/Territory | Iran, Islamic Republic of |
City | Yazd |
Period | 30/04/19 → 2/05/19 |
Internet address |
Keywords
- Day-ahead network-constraint scheduling
- wind energy
- combined heat and power
- hydrogen storage technology