CN-122026306-A - Geographic information-considered soft switch and grid structure collaborative planning method, system, equipment and storage medium

CN122026306ACN 122026306 ACN122026306 ACN 122026306ACN-122026306-A

Abstract

The invention relates to the technical field of power distribution network planning, in particular to a method, a system, equipment and a storage medium for collaborative planning of a soft switch and a grid structure by considering geographic information. The method comprises the steps of obtaining geographic information data and grid basic data of a planning area, identifying a forbidden construction area, a limited construction area and an adaptive construction area according to the geographic information data, generating a space constraint set for grid construction, constructing a soft switch candidate installation position set and a grid line candidate path set in the space constraint set range, establishing a collaborative planning model of soft switch configuration and a grid structure, wherein the model comprises an investment cost target, a grid loss target and a reliability target, setting tide constraint, capacity constraint and geographic space constraint, solving the collaborative planning model to obtain a soft switch installation position, capacity configuration and grid line connection scheme, and outputting the collaborative planning scheme. And the geographic information constraint depth is fused into a planning model, so that the cooperative optimization of the soft switch configuration and the grid structure is realized.

Inventors

JIN YUFEI
WANG QIXIANG
YIN JINGJIAO
ZHANG ZEYU
WANG HERONG
SHAN YUQI
ZHAO JINGMING
GAO JIAWEN
HE XIN
GAO FENGXI
YE XIAOCHEN
ZHANG NA
NING DAWEI
LIANG YI
HAN ZHENDAO
HUANG XIAOYI
GAO JING
ZHU HEYAN
QI YANG
ZHANG ZIXIN

Assignees

国网辽宁省电力有限公司经济技术研究院
国家电网有限公司

Dates

Publication Date: 20260512
Application Date: 20251205

Claims (10)

1. The method is characterized by comprising the steps of obtaining geographic information data and grid basic data of a planning area, identifying a forbidden construction area, a limited construction area and a proper construction area according to the geographic information data, generating a space constraint set of grid construction, and constructing a soft switch candidate installation position set and a grid line candidate path set within the range of the space constraint set; establishing a collaborative planning model of soft switch configuration and a grid structure, wherein the collaborative planning model comprises an investment cost target, a grid loss target and a reliability target, and setting a tide constraint, a capacity constraint and a geographic space constraint; and solving the collaborative planning model to obtain the soft switch installation position, capacity configuration and grid line connection scheme, and outputting the collaborative planning scheme.
2. The method for collaborative planning of a soft switch and a grid structure taking geographic information into consideration is characterized in that geographic information data comprises terrain features, land types and sensitive area distribution, wherein the identification of a construction-forbidden area, a construction-limited area and a construction-adaptive area according to the geographic information data comprises the steps of extracting an environment protection area, a water source protection area and a cultural relic protection area in the geographic information data, marking the environment protection area, the water source protection area and the cultural relic protection area as construction-forbidden areas, extracting a geological disaster prone area and a gradient out-of-limit area in the geographic information data, marking the geological disaster prone area and the gradient out-of-limit area as construction-limited areas; areas other than the construction prohibition area and the construction restriction area are marked as construction fit areas.
3. The method for collaborative planning of a soft switch and a grid structure taking geographic information into consideration as set forth in claim 2, wherein the constructing a set of soft switch candidate installation locations and a set of grid line candidate paths within a space constraint set comprises determining soft switch candidate installation locations at node locations of the power distribution network in an adaptation area to form a set of soft switch candidate installation locations; Planning connection paths among substations in the suitable building area, avoiding the forbidden building area, and forming a net rack line candidate path set; And increasing the construction cost weight aiming at the line path in the limited construction area.
4. The method for collaborative planning of a soft switch and a grid structure with geographic information in mind of claim 3, wherein establishing a collaborative planning model of a soft switch configuration and a grid structure comprises setting an investment cost objective function, wherein the investment cost comprises soft switch equipment investment, grid line construction investment and transformer substation extension investment; Setting grid structure constraint conditions, wherein the grid structure constraint conditions comprise node power balance constraint, line capacity constraint and radial network constraint; Setting soft switch configuration constraint conditions, wherein the soft switch configuration constraint conditions comprise soft switch quantity constraint, installation position constraint and capacity matching constraint; and integrating the investment cost objective function with the grid structure constraint condition and the soft switch configuration constraint condition to form the collaborative planning model.
5. The method for collaborative planning of a soft switch and a grid structure with geographic information in mind of claim 4, wherein the setting of the reliability objective function includes calculating a system average outage frequency indicator for the planning scheme, calculating a system average outage time indicator for the planning scheme, and taking a weighted sum of the system average outage frequency indicator and the system average outage time indicator as the reliability objective function.
6. The method for collaborative planning of a soft switch and a grid structure with respect to geographic information of claim 5, wherein solving the collaborative planning model comprises initializing a planning scheme population with a genetic algorithm, wherein the planning scheme comprises a soft switch configuration scheme and a grid structure scheme; Carrying out load flow calculation and reliability evaluation on the planning scheme generated by each iteration, and judging the feasibility and the quality of the scheme; and outputting a planning scheme with the optimal objective function value when the iteration meets the convergence condition or reaches the preset iteration times.
7. The method for collaborative planning of a soft switch and a grid structure taking into account geographic information as set forth in claim 6, wherein the output collaborative planning scheme comprises outputting installation position coordinates, equipment model and capacity parameters of the soft switch, outputting start-stop nodes, path coordinates and wire model of a grid line, and outputting investment cost, annual running network loss and power supply reliability indexes of the planning scheme; And generating an electronic map visual result containing the soft switch positions and the grid lines.
8. The soft switch and grid structure collaborative planning system considering geographic information is based on the soft switch and grid structure collaborative planning method considering geographic information according to any one of claims 1-7, and is characterized by further comprising a data acquisition module, wherein the data acquisition module acquires geographic information data and grid basic data of a planning area, identifies a forbidden construction area, a limited construction area and a suitable construction area according to the geographic information data, generates a space constraint set of grid construction, and constructs a soft switch candidate installation position set and a grid line candidate path set within the space constraint set range; The system comprises a construction module, a soft switch configuration and grid structure collaborative planning model, a load flow constraint module and a geographic space constraint module, wherein the collaborative planning model comprises an investment cost target, a grid loss target and a reliability target and is used for setting a load flow constraint, a capacity constraint and a geographic space constraint; And the result output module is used for solving the collaborative planning model to obtain the soft switch installation position, capacity configuration and grid line connection scheme and output the collaborative planning scheme.
9. The computer equipment comprises a memory and a processor, wherein the memory stores a computer program, and the computer equipment is characterized in that the processor realizes the steps of the soft switch and grid structure collaborative planning method considering geographic information according to any one of claims 1-7 when executing the computer program.
10. A computer readable storage medium, on which a computer program is stored, is characterized in that the computer program, when being executed by a processor, implements the steps of the method for collaborative planning of a soft switch and a grid structure taking into account geographic information according to any one of claims 1 to 7.

Description

Geographic information-considered soft switch and grid structure collaborative planning method, system, equipment and storage medium Technical Field The invention relates to the technical field of power distribution network planning, in particular to a method, a system, equipment and a storage medium for collaborative planning of a soft switch and a grid structure by considering geographic information. Background The energy system is used as a basic element of human economic and social development, the energy system is faced with double challenges of fossil energy shortage and greenhouse gas effect, the energy structure is pushed to be low-carbonization and clean to be converted into world-wide consensus, the energy system is used as a key link from electric energy production to consumption and a most main absorption carrier of distributed new energy, the power distribution network is most tightly connected with users, the running condition of the energy system has the most direct influence on the power supply quality of the users and the absorption of the new energy, in the background, flexible interconnection of the power distribution network is realized through Soft-Open-Point-SOP (Soft-Open-SOP), the energy system becomes a breakthrough solution for meeting the requirement of larger-range source-load balance and improving the reconstruction effect of the traditional power distribution network, however, the SOP has higher construction cost, and marginal diminishing effect exists between the access capacity and the operation level of the power distribution network, and how to realize the maximization of comprehensive benefits through reasonable planning configuration is still a problem to be solved. Aiming at the problems, the prior literature mainly focuses on an optimal access scheme of SOP, namely, the access position and capacity of SOP are optimized, or grid expansion planning is carried out based on SOP, however, the planning technology is mainly suitable for power distribution network reconstruction of an established area, and how to realize integrated planning of SOP and grid structure in a newly built area becomes a research problem to be overcome, and in the planning process of the newly built area, a to-be-planned area is generally divided into a plurality of blocks due to street interleaving intercommunication. The method is restricted by multiple factors such as topography, building layout, power supply guidance rules and the like, the line planning needs to meet the engineering practical requirements such as non-intersection, non-looping, deployment along streets and the like, and mathematical analysis expression needs to be carried out in a planning model. In addition, existing studies have difficulty in achieving integrated solutions for planning models. Therefore, it is necessary to integrate the geographic information of the area to be planned into the planning model, fully consider the constraint conditions in engineering practice, and provide a scientific and practical SOP and grid structure collaborative planning method applicable to the newly built area of the city. Disclosure of Invention The present invention has been made in view of the problems occurring in the prior art. Therefore, the invention aims to solve the problems that the integrated planning of SOP and grid structure is realized in a newly built area, the line planning needs to meet the engineering actual requirements of non-intersection, non-looping, deployment along a street and the like, mathematical analysis expression is needed in a planning model and the like. In order to solve the technical problems, the invention provides the following technical scheme: In a first aspect, an embodiment of the present invention provides a method for collaborative planning of a soft switch and a grid structure in consideration of geographic information, which includes obtaining geographic information data and grid base data of a planning area, identifying a forbidden construction area, a limited construction area and a suitable construction area according to the geographic information data, generating a space constraint set for grid construction, and constructing a soft switch candidate installation position set and a grid line candidate path set within the range of the space constraint set; establishing a collaborative planning model of soft switch configuration and a grid structure, wherein the collaborative planning model comprises an investment cost target, a grid loss target and a reliability target, and setting a tide constraint, a capacity constraint and a geographic space constraint; and solving the collaborative planning model to obtain the soft switch installation position, capacity configuration and grid line connection scheme, and outputting the collaborative planning scheme. The soft switch and grid structure collaborative planning method considering geographic information is characterized in that geographic informati