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Energy scheduling method for microgrid

An energy scheduling and microgrid technology, applied in the field of microgrids, can solve the problems of not giving a microgrid energy scheduling method, difficult to meet the requirements of microgrid operation, and not considering the randomness and intermittency of renewable energy.

Inactive Publication Date: 2012-07-18
HEFEI UNIV OF TECH
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Problems solved by technology

However, it does not consider the randomness and intermittency of renewable energy, it is difficult to meet the actual operation requirements of the microgrid, and it does not give a complete microgrid energy scheduling method

Method used

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  • Energy scheduling method for microgrid
  • Energy scheduling method for microgrid
  • Energy scheduling method for microgrid

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0121] Take the energy dispatching of a grid-connected microgrid that includes photovoltaic cells, wind turbines, and diesel engines as an example.

[0122] In this microgrid, the transmission power limit of the distribution network is 500kW, and the data of each distributed power supply is shown in Table 1:

[0123] Table 1 Data of distributed power generation

[0124] Types of

Power lower limit / kw

Power upper limit / kw

forced outage rate

quantity

diesel engine

40

100

0.080

1

diesel engine

80

200

0.050

1

PV

0

20

0.003

5

Wind Turbines

0

100

0.040

2

[0125] 1. Use the Monte Carlo method to randomly simulate the uncertain factors in the operation of the microgrid, and generate samples composed of the output power of renewable energy sources, the state of renewable energy sources and conventional power sources, and load fl...

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Abstract

The invention discloses an energy scheduling method for a microgrid, which is characterized by including adopting the Monte Carlo method to conduct stochastic simulation on uncertainty factors in operation of the microgrid to generate samples formed by output power of a power supply with renewable energy sources and the like; providing the confidence level of load satisfying rate of the microgrid, setting rotating reserve probability constraint condition of the microgrid and forming a target function of microgrid energy scheduling in minimum mode through planning operation cost of energy scheduling time periods of the microgrid; designing energy scheduling algorithm combining the stochastic simulation in the Monte Carlo method and genetic algorithm to conduct solution of the target function of microgrid energy scheduling to obtain the optimum energy scheduling scheme of the microgrid. The energy scheduling method achieves balance between operation economical performance and operation reliability of the microgrid and meets actual operation requirements of the microgrid by setting the confidence level of the load satisfying rate of the microgrid, introducing the rotating reserve probability constraint condition of the microgrid and processing various uncertain factors in the microgrid.

Description

technical field [0001] The present invention relates to the technical field of micro-grids, and more specifically relates to an energy scheduling method for micro-grids. Background technique [0002] The microgrid realizes the integrated operation of distributed power sources and loads, can flexibly access and cut out the distribution network, meets the user's requirements for power quality and power supply reliability, and also provides a comprehensive utilization of renewable energy. effective technical means. However, the high penetration rate of renewable energy makes the microgrid's ability to withstand disturbance relatively weak, especially in the island operation mode, the system may face higher risks. Therefore, reasonable energy scheduling must be carried out according to the characteristics of the microgrid to achieve economical operation on the premise of ensuring system safety and reliability. [0003] Since the concept of microgrid has not been put forward fo...

Claims

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Application Information

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IPC IPC(8): H02J4/00
Inventor 丁明吴红斌毕锐
Owner HEFEI UNIV OF TECH
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