A Two-Level Programming Method for Distribution Networks Considering Timing and Reliability

Abstract

The invention relates to a power distribution network double layer planning method considering the time sequence and the reliability. The method comprises: according to the meteorological files and the load power statistical data, obtaining the typical daily power time sequence curves of the wind electricity, the photovoltaic output and the load in different seasons; based on the opportunistic constraint planning method, creating a power distribution network framework and a distributed power capacity double layer planning mathematical model, including the objective function and the constraint condition; using the particle swarm optimization algorithm to solve the model and using the minimum spanning tree algorithm to ensure the radiation and connectivity structure of the distribution network during the iterative process; and obtaining the target network framework and the Pareto optimal solution set of the distributed power capacity so as to generate the best planning scheme. The invention solves the problems that unnecessary investment into the a power distribution network incurred by the fact that a traditional power distribution network planning method containing a distributed power supply cannot reflect the typical output characteristic of a distribution type new energy; and 2) that by incorporating the power distribution network power supply reliability into a model target function, the reliability target can be realized at the planning stage.

Description

technical field [0001] The invention belongs to the technical field of distribution network planning, and in particular relates to a two-layer planning method of distribution network considering timing and reliability. Background technique [0002] The increase of the proportion of distributed generation (DG) in the power grid increases the uncertainty of distribution network planning. Traditional distribution network planning treats distributed power sources as fixed power sources, which obviously does not conform to the operating characteristics of distributed power sources; or assumes that wind power or photovoltaic output obeys certain distribution characteristics, and then uses sampling methods such as Monte Carlo to randomize DG Sampling simulates its output, but it does not reflect the change of DG output with power supply season and time period, and often ignores the uncertainty of load. In addition, the general distribution network planning model often takes econom...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a two-tier distribution network planning method considering timing and reliability. This method solves the problem that the existing distribution network planning method does not consider the timing of DG and load, and immediately To achieve a certain reliability goal, and at the same time solve the cumbersome problem of infeasible solution repair in the model solving algorithm, improve the technical economy of the distribution network planning scheme, and achieve the established power supply reliability goal while realizing the optimal configuration of distributed power sources

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