Microgrid economic operation optimization method based on fuzzy particle swarm algorithm and energy saving system
A fuzzy particle swarm and energy storage system technology, applied in the field of micro-grid economic operation optimization, can solve problems such as the inability to effectively meet the micro-grid economy, safety, energy saving and emission reduction, the limit of the optimal point convergence speed cannot be guaranteed, and mathematics cannot be achieved.
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[0098] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0099] Such as figure 1 As shown, the examples used in the present invention include 20KW wind power (WT), 10KW photovoltaic (PV), 40KW fuel cell (FC), 65KW micro gas turbine (MT), and 100KW battery energy storage system (ES);
[0100] The present invention provides a micro-grid economic operation optimization method based on fuzzy particle swarm algorithm and energy storage system, the method includes the following steps:
[0101] Step (1): Determine the economic dispatch strategy of each component in the microgrid. WT and PV track the maximum power output, and give priority to their output due to their environmental friendliness; FC and MT provide output when the power generation cost is lower than the electricity price, and stop output when the power generation cost is higher than the electricity price; ES uses fuzzy...
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