Source network load storage interactive scheduling method and system
A scheduling method and source-net-load technology, applied in the integration of power network operating system, energy storage, AC network voltage adjustment, etc., can solve the problems of high light curtailment/wind rate of new energy, avoid thermal power generation and carbon dioxide emissions, and improve reliability Sex, the effect of increasing jumping ability
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Embodiment 1
[0053] Such as figure 1 As shown, a source-network-load-storage interactive scheduling method provided by an embodiment of the present invention includes the following steps:
[0054] S1. Obtain the information interaction situation and the power dispatching capability of the microgrid, and select the execution strategy of the microgrid accordingly.
[0055] First, integrate source, network, load and storage resources in the form of micro-grid clusters figure 2 In the two-layer system operation structure shown, the upper layer is the global control center, and the lower layer is a plurality of micro-grids controlled by each regional control center (regional control center 1, regional control center 2, and regional control center 3). Regional control center 1 Control microgrid 1, regional control center 2 controls microgrid 2, and so on.
[0056] Each microgrid contains multiple distributed units, such as photovoltaics, wind turbines, gas turbines, electric vehicles, energy ...
Embodiment 2
[0160] The embodiment of the present invention also provides a source-network-load-storage interactive scheduling system, including:
[0161] Strategy selection module: used to obtain the information interaction situation and the power scheduling capability of the microgrid, and select the execution strategy of the microgrid accordingly;
[0162] Power solution module: it is used to optimize and solve the preset source-network-load-storage scheduling model by using the improved particle swarm optimization algorithm, and obtain the optimal active power and tie-line power of each distributed unit in the microgrid. The improvement is in In the iterative process, the average value of the sum of the d-dimension components of the individual optimal particles is used to replace the d-dimension component, and the preset position value is used to replace the boundary value when dealing with the out-of-bounds problem;
[0163] Strategy execution module: it is used to execute the microgr...
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