Two-stage robust stochastic scheduling for energy recovery in coal mine integrated energy system
| Autor: | Shulin Yin, Lu Mengtian, Chaoxian Lv, Huang Hongxu, Dunwei Gong, Liang Rui |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Energy recovery
business.industry Computer science 020209 energy Mechanical Engineering Coal mining Scheduling (production processes) 02 engineering and technology Building and Construction Management Monitoring Policy and Law Energy storage General Energy 020401 chemical engineering Robustness (computer science) 0202 electrical engineering electronic engineering information engineering Stochastic optimization Energy supply 0204 chemical engineering Process engineering business Energy (signal processing) |
| Zdroj: | Applied Energy. 290:116759 |
| ISSN: | 0306-2619 |
| DOI: | 10.1016/j.apenergy.2021.116759 |
| Popis: | During the mining process, many energy resources are produced additionally, which have a promising prospect to supply electricity, heat and cooling energy. However, different energy inertia and diverse uncertainties from photovoltaic, wind turbine and gushing water outputs will pose challenges to the operation of a coal mine integrated energy system. This paper constructs a coal mine integrated energy system operation model considering energy resources recovery. Coal mine integrated energy system consists of energy supply subsystem, energy recovery subsystem, and energy storage subsystem, and it integrates multiple energies such as electricity, heat and cooling. A two-stage robust stochastic optimization method is proposed to adapt to the uncertainties. At the day-ahead stage decision, the optimal operation problem is solved at long time intervals to determine the heat dispatching. Meanwhile, the intra-day stage decision is focused on dealing with diverse uncertainties at short time intervals to enhance operational robustness. Heat energy equipment is scheduled at intra-day stage with the day-ahead dispatching result. A real case of coal mine is demonstrated to validate the effectiveness and robustness of the proposed method. The result reveals that the proposed method, compared to the conventional methods, can fully improve the economic benefits, the energy recovery and the system operational robustness. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect