Dynamic reconstruction and reactive voltage adjustment double-layer optimization scheduling method based on improved whale optimization algorithm

Abstract

The invention discloses a dynamic reconstruction and reactive voltage adjustment double-layer optimization scheduling method based on an improved whale optimization algorithm. The method comprises the following steps: establishing a power distribution network node system; an upper-layer optimization model takes the lowest comprehensive operation cost of the power distribution network as a target, adopts opportunity constraint planning to process the randomness problem of wind and light output, and takes opportunity constraint dynamic reconstruction as a means to realize long-time-scale economic operation of the power distribution network; the lower-layer optimization model takes the minimum total deviation of system nodes as a target and takes static reactive compensation, a micro gas turbine and energy storage output as control objects to optimize the voltage quality of the system; and solving the active power distribution network double-layer optimization scheduling model by adopting a mixed solving strategy combining an improved whale optimization algorithm and an interior point method. The method can greatly reduce the network loss and improve the voltage quality, and gives consideration to the operation economy of the power distribution network and the voltage stability of the system.

Description

technical field [0001] The invention relates to the technical field of active distribution network optimization scheduling, in particular to a double-layer optimal scheduling method based on dynamic reconstruction and reactive power voltage adjustment based on an improved whale optimization algorithm. Background technique [0002] In recent years, in order to promote energy conservation and emission reduction and solve the energy crisis, the high penetration of distributed power sources such as photovoltaics and wind power has made the distribution network developed into an active distribution network. The injected power of intermittent distributed power sources presents strong randomness, which makes the traditional distribution network reconstruction scheme no longer applicable; in addition, the voltage fluctuation or overvoltage caused by the grid-connected distributed power generation with high penetration leads to its disconnection, which seriously restricts the active ...

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Problems solved by technology

Chinese patent "A distribution network reconfiguration method for improving new energy acceptance capacity" (CN109741207A), Chinese patent "A method for reactive power optimization of distribution network based on adaptive particle swarm algorithm" (CN113489019A) and other disclosed technical solutions Only a single active management measure is considered, and the coordination and optimization among multiple active management strategies is not considered, so it is difficult to give full play to the regulation and control capabilities of various controllable equipment in the active distribution network

[0004] Chinese patent "Active Distribution Network Reconfiguration and Reactive Power Combined Robust Optimization Method Considering Extreme Scenarios" (CN112671047A) Although network reconfiguration and reactive power optimization are considered, this method is limited to static reconfiguration and does not fully consider clean energy The impact of timing fluctuations on the active distribution network

[0005] The Chinese patent "An Optimal Dispatch Method for Active Distribution Network Considering Dynamic Network Reconfiguration" (CN110021966A) realizes dynamic reconfiguration and reactive power joint optimization, but does not take into account the randomness of clean energy, which limits its practical application; For the active distribution network with high-permeability renewable energy access, it is difficult to guarantee the voltage security of all nodes at the end of the line by using the flexibility of the distribution network or reactive power compensation devices alone. The voltage regulation resources in the active distribution network are abundant, but not enough. Excavating the role of energy storage battery charging and discharging in voltage control

Compared with other optimization algorithms, the whale optimization algorithm has a simple principle, few adjustment parameters and strong optimization ability, but in the process of solving the reconstruction problem, there are a large number of infeasible solutions in the randomly generated initial population, slow convergence speed and easy to fall into The problem of local optima

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