CN-121980410-A - Building direct current interconnection power distribution system cluster division method oriented to photovoltaic absorption rate improvement

CN121980410ACN 121980410 ACN121980410 ACN 121980410ACN-121980410-A

Abstract

The invention relates to a cluster division method of a building direct current interconnection distribution system for improving photovoltaic consumption rate, which comprises the steps of obtaining building group data, obtaining a spanning tree representing interconnection conditions in a cluster, calculating interconnection cost of the spanning tree in consideration of interest, generating a cluster division result, interconnection conditions and maximum light Fu Xiaona rate when the adaptability is optimal, changing the sizes of interest and energy storage coefficients, returning to the step (2), generating a cluster division interconnection diagram under different interest and different energy storage coefficients, and analyzing the influence of the interest and the energy storage coefficients on the cluster division result and the maximum photovoltaic consumption rate when the adaptability is optimal. The invention combines the advantages of iterative optimization of the particle swarm algorithm and the advantage of uniform division of clusters by the K-means algorithm, can lead the cluster division to be more uniform, reduce the electricity purchasing requirement of the building on the power grid, maximally improve the absorption rate of the photovoltaic energy source and reduce the load requirement, namely peak load, of the building electricity consumption peak period.

Inventors

WANG XULI
QIAN LONG
ZHU LIUZHU
Ling ru
ZHANG HUI
CHENG XIAO
XU JIAYIN
ZHOU FAN
ZHU YONG
DAI LEI

Assignees

国网安徽省电力有限公司经济技术研究院

Dates

Publication Date: 20260505
Application Date: 20241031

Claims (6)

1. A cluster division method of a building direct current interconnection power distribution system for improving photovoltaic absorption rate is characterized by comprising the following steps in sequence: (1) Building group data are acquired, wherein the building group data comprise the geographic positions of all buildings in a building group, loads of different building types and photovoltaics; (2) Adopting an improved particle swarm algorithm to perform cluster division on building clusters of the obtained building cluster data, and then performing intra-cluster interconnection according to a minimum spanning tree algorithm to obtain a spanning tree, namely a cluster division interconnection diagram, representing the intra-cluster interconnection condition; (3) Calculating the interconnection cost of the spanning tree edge weight in consideration of interest by adopting a topological sorting algorithm, calculating interconnection benefits, subtracting the interconnection benefits from the interconnection cost to obtain net benefits, and generating a cluster division result, interconnection conditions and maximum light Fu Xiaona rate when the fitness is optimal by taking the net benefits as a fitness function according to an improved particle swarm algorithm; (4) Changing the interest rate and the energy storage coefficient, returning to the step (2), generating a cluster division interconnection graph under different interest rates and different energy storage coefficients, analyzing the influence of the interest rate and the energy storage coefficient on the cluster division result and the maximum photovoltaic absorption rate when the fitness is optimal, wherein the energy storage coefficient refers to the percentage of the current energy storage equipment to the total daily load of the building, calculating the energy storage capacity according to the energy storage coefficient, generating the load demand of the building in the cluster in one day before interconnection and the load demand of the building in the cluster in one day after interconnection, and analyzing the load peak reduction percentage of the two in the electricity consumption peak period.
2. The method for dividing clusters of the building direct current interconnection power distribution system for improving the photovoltaic absorption rate according to claim 1, wherein in the step (2), the improved particle swarm algorithm is that a K-means algorithm is added into a traditional particle swarm algorithm, each particle in the traditional particle swarm algorithm is changed from representing a different division scheme to representing a group of centroids with different positions, and a building in a building group is added into a cluster represented by the centroid nearest to the building group.
3. The cluster division method for the building direct current interconnection power distribution system for improving the photovoltaic consumption rate according to claim 1 is characterized in that in the step (3), the calculation of the interconnection cost of the spanning tree by adopting the topological sorting algorithm is specifically that the maximum transmission power P max (i, j) of the line between the building i and the building j is calculated by adopting the topological sorting algorithm, and the interconnection cost of the interest is calculated according to the maximum transmission power P max (i, j) of the line between the building i and the building j: Wherein C p is the monthly payoff amount per month, i.e. the monthly cost of interest is considered, C is the monthly rate, divided by 12 by the annual rate, n is the total number of months of the payoff period, i.e. the loan year multiplied by 12, C dc is the total cost of interest not considered, U is the line voltage of 380V, In order for the phase difference to be a phase difference, For power factor, J is the current carrying density allowed by the cable, x i and y i are the geographic coordinates of building i, x j and y j are the geographic coordinates of building J, N is the number of buildings in a single cluster, and m is the number of clusters divided.
4. The cluster division method for the building direct current interconnection power distribution system for improving the photovoltaic absorption rate according to claim 1 is characterized in that in the step (3), the calculation formula of the maximum photovoltaic absorption rate is as follows: In the formula, For photovoltaic power generation of cluster k in period t, For cluster load power of cluster k in period t, And feeding back the electric quantity to the power grid in the period t for the cluster k, wherein m is the number of the divided clusters.
5. The cluster division method for the building direct current interconnection power distribution system for improving the photovoltaic absorption rate according to claim 1 is characterized in that in the step (3), the calculation formula of the interconnection income is as follows: Wherein P trade (t) is the total transaction electric quantity of all buildings in the t period, lambda trade (t) is the transaction electric price in the t period, and the calculation formula of the total transaction electric quantity P trade (t) is as follows: Wherein r is a condition for judging whether the building belongs to the same cluster, r=1 indicates that the building i and the building j are in the same cluster, r=0 indicates that the building i and the building j are not in the same cluster, P trade (i, j, t) is transaction electric quantity of the building i and the building j in a t period, and m is the number for dividing the clusters.
6. The cluster division method for the building direct current interconnection power distribution system for improving the photovoltaic absorption rate according to claim 1 is characterized in that in the step (4), the formula for calculating the energy storage capacity according to the energy storage coefficient is as follows: Wherein, the For the energy storage capacity of the ith building, lambda es is the energy storage coefficient, R is a random number between 0 and 1, The load power of the building i in the t period.

Description

Building direct current interconnection power distribution system cluster division method oriented to photovoltaic absorption rate improvement Technical Field The invention relates to the technical field of intelligent power grid technology and photovoltaic digestion, in particular to a cluster division method of a building direct current interconnection power distribution system for improving photovoltaic digestion rate. Background With the global emphasis on sustainable development, reducing carbon emissions and improving energy efficiency have become urgent demands. Urban rapid promotion, building energy consumption accounts for an important proportion of global energy consumption. This has driven the need for optimizing and managing building energy consumption, and more widely integrating renewable energy solutions, with photovoltaic technology being a clean energy source, the integration and optimal utilization of which is particularly important. As the cost of photovoltaic technology decreases and efficiency increases, it is becoming a viable strategy to integrate it directly with buildings, especially in urban building clusters. With the introduction of photovoltaic equipment, building has different degrees of photovoltaic overflow phenomenon, because at present urban buildings are mostly in a self-generated and self-pinned mode, namely, the photovoltaic power generation of the urban buildings is only used for meeting the load demand of the urban buildings in certain time periods, most of the buildings still rely on electricity purchasing from a power grid excessively, the photovoltaic absorption rate is low, and the peak load of the buildings is high. Disclosure of Invention In order to solve the problems of low photovoltaic absorption rate and high peak load of a building in the prior art, the invention aims to provide a cluster division method for realizing building direct current interconnection power distribution system for improving the photovoltaic absorption rate, which reduces the load demand, namely peak load, of a building electricity consumption peak period and maximizes the absorption rate of photovoltaic energy. In order to achieve the purpose, the invention adopts the following technical scheme that the cluster division method of the building direct current interconnection power distribution system for improving the photovoltaic absorption rate comprises the following sequential steps: (1) Obtaining building group data, wherein the building group data comprises the geographic positions of all buildings in a building group, and load, photovoltaic and energy storage data of different building types, and the energy storage data refers to the energy storage capacity of each building; (2) Adopting an improved particle swarm algorithm to perform cluster division on building clusters of the obtained building cluster data, and then performing intra-cluster interconnection according to a minimum spanning tree algorithm to obtain a spanning tree, namely a cluster division interconnection diagram, representing the intra-cluster interconnection condition; (3) Calculating the interconnection cost of the spanning tree edge weight in consideration of interest by adopting a topological sorting algorithm, calculating interconnection benefits, subtracting the interconnection benefits from the interconnection cost to obtain net benefits, and generating a cluster division result, interconnection conditions and maximum light Fu Xiaona rate when the fitness is optimal by taking the net benefits as a fitness function according to an improved particle swarm algorithm; (4) Changing the interest rate and the energy storage coefficient, returning to the step (2), generating a cluster division interconnection graph under different interest rates and different energy storage coefficients, analyzing the influence of the interest rate and the energy storage coefficient on the cluster division result and the maximum photovoltaic absorption rate when the fitness is optimal, wherein the energy storage coefficient refers to the percentage of the current energy storage equipment to the total daily load of the building, generating the load demand of the building in the cluster in one day before interconnection and the load demand of the building in the cluster in one day after interconnection, and analyzing the load peak reduction percentage of the two in the electricity consumption peak period. In the step (2), the improved particle swarm algorithm is that a K-means algorithm is added into a traditional particle swarm algorithm, each particle in the traditional particle swarm algorithm is changed from representing a different group of division schemes to representing a group of centroids with different positions, and a building in a building group is added into a cluster represented by the centroid nearest to the building group. In the step (3), the calculation of the interest interconnection cost of the spanning tree by