Heat storage type electric heating optimal configuration method considering power flow balance of power distribution network

Abstract

The invention discloses a heat accumulating type electric heating optimal configuration method considering power flow balance of a power distribution network, which comprises the following steps of: calculating hourly heat load demand of the whole heating season according to historical air temperature and solar radiation data, and processing the uncertainty of the heat load demand by adopting a scene reduction method; establishing a heat accumulating type electric heating multi-target double-layer optimization configuration model; solving by adopting a multi-target particle swarm optimization algorithm to obtain a series of Pareto solution sets; the weight of each target value is determined through information entropy, and the schemes are sorted by using an approximate ideal solution sorting method to select an optimal compromise solution from the schemes; according to the method, unreasonable distribution of power flow in the line is improved, overlarge voltage offset is adjusted, the problem that the voltage is too low and even the voltage is out of limit due to access of the electric heating load is solved, it is guaranteed that the voltage quality meets the requirement, and a power distribution network can operate safely and stably.

Description

technical field [0001] The invention belongs to the technical field of distribution network optimization planning, and in particular relates to a heat storage type electric heating optimization configuration method considering the power flow balance of the distribution network. Background technique [0002] In order to achieve the goal of "carbon peaking and carbon neutrality", the northern region of my country vigorously promotes the electric heating policy, and replaces coal-fired boilers with electric boilers for centralized heating. Compared with ordinary electric heating equipment, regenerative electric heating can be used as a flexible load resource. On the premise of meeting the heating needs of users, the daily power curve of the system can be adjusted according to the needs of the distribution network, and electric boilers can be arranged reasonably. The operating power and time of the distribution network play a role in "shaving peaks and filling valleys", reducing...

AI Technical Summary

Problems solved by technology

[0005] In general, research on the optimal configuration of thermal storage electric heating systems in distribution networks still has the following deficiencies: On the one hand, when planning thermal storage electric heating systems, there are relatively few studies that consider the location of thermal storage electric heating systems , ignoring that site selection will affect the power flow distribution of the entire system, and even affect the safe and stable operation of the system; The influence of the absorption capacity of renewable energy and other aspects, lack of consideration of the impact on the safety and stability of the distribution network after the large-scale connection of regenerative electric heating

Images