Power distribution stochastic optimization planning method and device based on improved ant lion algorithm
A stochastic optimization and improved technology, applied in computing, computational models, biological models, etc., can solve problems such as ineffective planning, failure to consider load and solar irradiance uncertainty, etc., to improve search capabilities and avoid search stagnation, good robustness
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Embodiment 1
[0036] Embodiment 1: as attached figure 1 As shown, the embodiment of the present invention discloses a method for constructing a stochastic optimization model of power distribution based on the improved antlion algorithm, including:
[0037] S101, constructing a multi-objective function of a power distribution system integrated with a photovoltaic distributed power generation source and a distributed static compensator.
[0038] Here, combining the uncertainties of solar irradiance and load demand, a multi-objective function is established. The multi-objective function can include reducing the total annual cost, voltage distribution and improving the stability index.
[0039] S101, characterize the random characteristics of distributed photovoltaic and load demand in each season according to historical data, and determine MALO parameters, and randomly generate the initial position of ants, wherein the historical data includes load demand and solar irradiance.
[0040] Integr...
Embodiment 2
[0064] Embodiment 2: as attached figure 2 As shown, the embodiment of the present invention discloses a power distribution stochastic optimization planning device based on the improved antlion algorithm, including:
[0065] Constructing unit to construct the multi-objective function of the power distribution system integrated with photovoltaic distributed power generation and distributed static compensator;
[0066] The first processing unit characterizes the random characteristics of distributed photovoltaic and load demand in each season according to the historical data, and determines the MALO parameter, and randomly generates the initial position of the ant, wherein the historical data includes load demand and solar irradiance;
[0067] The second processing unit sets the maximum number of iterations, uses the improved antlion optimization algorithm to iteratively search the multi-objective function, and determines the optimal planning scheme of the power distribution sys...
Embodiment 3
[0068] Embodiment 3, the embodiment of the present invention discloses a storage medium, on which is stored a computer program that can be read by a computer, and the computer program is configured to perform power distribution based on the improved antlion algorithm when running Stochastic optimization planning method.
[0069] The above-mentioned storage medium may include, but not limited to: various media capable of storing computer programs, such as a USB flash drive, a read-only memory, a removable hard disk, a magnetic disk, or an optical disk.
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