Power supply optimization configuration bilevel programming method in active distribution network region

Abstract

The present invention provides a power supply optimization configuration bilevel programming method in an active distribution network region. The method comprises the following steps: basic data acquisition, model construction, model transformation, algorithm parameter initialization, initial network loss resolution, power generation cost correction per unit power, upper planning scheme resolution, lower planning scheme resolution, iteration termination condition discrimination and the like. Based on an integrated resource strategy planning theory, the method provided by the present invention considers a generalized power supply represented by a photovoltaic power source and an interruptible load from a whole society angle, and establishes the power supply extended optimization bilevel programming model in the active distribution network region. The method comprises: according to the upper-level planning scheme, for the purpose of the lowest total cost of general power supply construction, power generation and pollution treatment, optimizing each power supply installed capacity; according to the lower-level planning scheme, for the purpose of minimum electrical power loss, locating and sizing the general power supply; and finally performing resolution in combination with a simplex method and an improved PSO algorithm. Compared with the conventional programming method, the bilevel programming method provided by the present invention has a significant effect of energy saving and emission reduction, a high resource utilization rate and an improved whole social benefit.

Description

technical field [0001] The invention belongs to the technical field of power distribution system planning, and in particular relates to a two-layer planning method for optimal configuration of regional power sources in an active distribution network. Background technique [0002] With the shortage of traditional fossil power sources and environmental pollution becoming more and more prominent, the traditional power grid planning method that relies solely on increasing power sources and investment in substations to meet the rapidly growing power demand has been greatly challenged by various aspects. The rapid development of distributed generation technology (DistributedGeneration, referred to as DG) and demand response technology provides ideas for solving these problems. However, the traditional distribution network is not capable of accommodating renewable power sources, so it cannot meet the requirements of large-scale access to new power sources. At the same time, its pla...

AI Technical Summary

Problems solved by technology

However, most studies only build planning models from the perspective of power company investment and profitability. From the perspective of the whole society, the research on active distribution network planning that incorporates supply-side and demand-side resources into planning at the same time remains to be done.

Images