Benders decoupling-based energy storage and distributed power supply and power distribution network coordination planning method

Abstract

The invention discloses a coordinated planning method for energy storage, distributed power supply and distribution network based on Benders decoupling. On the basis of establishing a coordinated planning model of distribution network considering energy storage and distributed power supply, according to the idea of ​​Benders decoupling, Decompose the model into the main problem and sub-problems, and decompose the sub-problems again to form decomposition sub-problems and relaxation sub-problems, solve the decomposed sub-problems to obtain the values ​​of the continuous variables of the sub-problems, and solve the relaxed sub-problems to obtain the values ​​of the discrete variables of the sub-problems value, and form an effective cut set to feed back to the main problem. After iterative solution, the overall optimal solution that takes into account both the main problem and the sub-problem is obtained. The invention decomposes and re-decomposes the mixed integer nonlinear optimization problem containing a large number of integer variables and continuous variables, reduces the scale of the problem, and solves the difficult problem of large-scale planning considering multi-stages and multi-variables in distribution network planning. At the same time, coordinated planning is carried out for the optimal configuration of energy storage and distributed power sources and the reconstruction of the grid structure to achieve efficient solutions.

Description

technical field [0001] The invention relates to a coordinated planning method for energy storage, distributed power supply and distribution network based on Benders decoupling, and belongs to the technical field of distribution network planning. Background technique [0002] With the transformation of the energy structure and the development of new energy technologies, the power system is also facing structural adjustments. In recent years, the state has issued a series of policies to support the development of new energy power generation technologies. Distributed power sources and energy storage in the distribution network The proportion of access to power grids has gradually increased, resulting in changes in the structure of the distribution network. How to make decisions on the access location and capacity of distributed power generation, energy storage and other equipment has become a new research hotspot in distribution network planning. [0003] Due to the existence ...

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Problems solved by technology

The research on model solving methods mainly focuses on the improvement and application of various intelligent algorithms, including genetic algorithm and particle swarm optimization algorithm. However, these intelligent algorithms are difficult to ensure global convergence when solving distribution network planning problems, and cannot measure the current optimization results and The gap between the global optimal solutions, the solution performance is not as good as the numerical method

However, using numerical methods to directly solve a big problem: planning schemes that consider factors such as lines, substations, energy storage, and distributed power sources at the same time will contain a large number of discrete variables and continuous variables, and contain a large number of constraints in each operating mode. The solution will take a long time, and it is difficult to reach the final convergence. There is no literature on this problem.

However, in the distribution network planning problem considering energy storage and distributed power generation, the subproblem is a problem that includes both discrete variables and continuous variables, and cannot directly form a cut set, which needs further processing

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