Optimal operation of multi-energy microgrid systems in future energy networks
A Combined Cooling, Heating and Power (CCHP) system is a combination of refrigeration, heating and power supply, which can realize the cascade utilization of energy. A microgrid solves the problem related to the large-scale access of distributed power to the power grid. The combination of the CCHP a...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2019
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| Online Access: | http://hdl.handle.net/10356/77959 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | A Combined Cooling, Heating and Power (CCHP) system is a combination of refrigeration, heating and power supply, which can realize the cascade utilization of energy. A microgrid solves the problem related to the large-scale access of distributed power to the power grid. The combination of the CCHP and microgrid has drawn much attention these years. Nowadays, demand response is widely used in the operation of a microgrid. Demand response is generally divided into price-based mode and incentive-based mode. It aims to guide users to adjust power usage and participate in load reduction. Demand response is able to reduce the risk of grid operation and improve the reliability of the system. In this report, the overall structure, basic components and key factors of the traditional electro-thermal energy integrated system are constructed under the condition of the grid-connected operation of the microgrid. Moreover, the equivalent output model of units in the microgrid and some related constraints are established. Finally, this report establishes an optimal dispatch model of CCHP-based microgrid under the condition of adopting demand response which combines incentive and time-of-use price. GUROBI is used to figure out the optimal solutions for the dispatch model in order to obtain the best economic output of each unit in the microgrid during the scheduling period. The simulation results show that the CCHP-based microgrid dispatch model with demand response could not only guide users to participate in load reduction but also optimize the output of each unit in the microgrid to reduce the operation cost of the microgrid. |
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