Method for actively power distribution network bi-layer wind-power planning based on improved Cuckoo search algorithm

Abstract

The invention discloses a method for actively power distribution network bi-layer wind-power planning based on improved Cuckoo search algorithm. The method includes a first step of establishing a bi-layer planning model, a second step of carrying out load flow calculation and linearizing the load flow calculation, a third step of establishing the Cuckoo search algorithm containing Levy flight function of sinusoidal carrier, a fourth step of converting the bi-layer planning model into a single-layer single-target planning model, a fifth step of creating a bi-target optimization problem according to the single-layer single-target planning model, and a sixth step of solving the bi-target optimization problem in the fifth step through the Cuckoo search algorithm containing Levy flight function of sinusoidal carrier in the third step. The Levy flight of the sinusoidal carrier better limits random solutions within the constraint scope of decisive variables, and partial accurate searching optimization can be supported. The bi-target optimization problem forces the infeasible solutions to move to the feasible solution area, and the feasible solutions are improved gradually. The solution optimization speed is accelerated, and the algorithmic efficiency is improved.

Description

technical field [0001] The invention belongs to the application field of active distribution networks of power systems, and in particular relates to a two-layer wind power planning method for active distribution networks based on an improved Rhododendron search algorithm. Background technique [0002] In recent years, with the intensification of environmental pollution, the shortage of fossil energy and major breakthroughs in new energy technologies, the status of traditional energy power generation has been greatly weakened. Wind power with mature technology is increasingly favored by power companies in various countries. In 2013, China newly installed 16,088 MW of wind power, making the total installed capacity of wind power reach 91,412 MW, ranking first in the world. Germany installed 3,238 MW of wind power, reaching a total installed capacity of 34,250 MW. The United States, Spain, India and other countries are also vigorously developing wind power. The installed capac...

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Problems solved by technology

[0004] It can be seen from the above that the consumption of wind power has been widely considered in the distribution network planning scheme. However, due to the intermittency and uncertainty of wind power, and it is extremely unfriendly to the control of the power grid, in order to ensure the normal operation of the power grid, when When the electrical constraints are not met, wind power is given the highest priority for cutting off

Therefore, the consumption of this kind of wind power is a kind of passive consumption, which greatly limits the utilization rate of wind power and is not conducive to promoting the use of clean new energy

And for wind power companies, the reduction of grid-connected capacity will directly lead to the reduction of revenue

[0005] The bi-level programming problem involving both wind power and distribution network is a non-convex problem with discrete and continuous decision variables, multi-constraints. It is difficult to obtain better optimization results by using conventional mathematical methods, and the optimization process is slow. Too many iterations, poor convergence performance

However, since the solution generated by Levy flight cannot guarantee to satisfy the constraint conditions of the decision variables, it is necessary to punish the out-of-bounds random solution, resulting in a decrease in the optimization efficiency of the system

Moreover, an iterative solution to a bilevel programming problem requires calling the heuristic algorithm twice, which will greatly reduce the efficiency of the solution and make it difficult to find the optimal solution

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