CN-115619187-B - Energy storage planning method, system and device for new energy system and storage medium

CN115619187BCN 115619187 BCN115619187 BCN 115619187BCN-115619187-B

Abstract

The invention discloses an energy storage planning method, a system, a device and a storage medium of a new energy system, wherein the energy storage planning method of the new energy system is characterized in that a typical scene set comprising an operation scene under an extreme disaster environment and an operation scene under a conventional environment is constructed, and an objective function is constructed to minimize a first cost and a second cost, so that the optimization of the cost of the new energy system takes into account the operation scene under the extreme disaster environment and the operation scene under the conventional environment; the constraint conditions considering the first factor and the second factor are constructed, and the energy storage planning result is obtained by combining the objective function and the constraint conditions, so that the capacity of the new energy system for coping with extreme disaster environments is improved, and the efficient absorption of the new energy system under the conventional environment is considered. The method can be widely applied to the field of safety planning of the power system.

Inventors

MA JIAN
XIN KUO
ZOU JIN
LU SIYU
WANG ZIQIANG
YUAN QUAN
LI PENG
LIU CHUNXIAO
ZHOU BAORONG

Assignees

中国南方电网有限责任公司
南方电网科学研究院有限责任公司

Dates

Publication Date: 20260505
Application Date: 20221108

Claims (9)

1. The energy storage planning method of the new energy system is characterized by comprising the following steps of: Constructing a typical scene set, wherein the typical scene set comprises a first scene set and a second scene set, the first scene set is a set of each operation scene of the new energy system in a conventional environment, and the second scene set is a set of each operation scene of the new energy system in an extreme disaster environment; calculating a first cost according to preset energy storage configuration information, wherein the first cost is the energy storage investment cost of the new energy system in each operation scene of the first scene set; Calculating the product of the load shedding of the new energy system in each operation scene of the second scene set and the preset unit load shedding cost to obtain a plurality of second costs; Constructing an objective function from the first cost and the plurality of second costs, the objective function for minimizing the first cost and the second cost; Constructing constraint conditions according to a first factor and a second factor, wherein the first factor is the time sequence characteristic of the energy storage configuration information and the operation data of the new energy system, the operation data comprises the acquired load data and output characteristics, and the second factor comprises the power rejection rate of the new energy system in each operation scene of the first scene set and the network topology reconstruction information of the new energy system in each operation scene of the second scene set; obtaining an energy storage planning result according to the objective function and the constraint condition; The energy storage configuration information comprises energy storage power, energy storage capacity and energy storage age information configured by nodes in the IEEE33 node power distribution system; the calculating the first cost according to the preset energy storage configuration information includes: Calculating the product of the stored energy power and the preset investment cost of the unit stored energy power to obtain a third cost; calculating the product of the energy storage capacity and the preset investment cost of the unit energy storage capacity to obtain a fourth cost; calculating the sum of the third cost and the fourth cost to obtain a fifth cost; Calculating the product of the fifth cost and the energy storage age information to obtain the first cost; Wherein, the expression of the first cost is: Wherein, the In order to store the energy storage period information, In order to achieve the discount rate, The service life of the energy storage is prolonged; Investment cost per unit energy storage capacity; Investment cost is unit energy storage power; the energy storage power configured for the node i; the energy storage capacity configured for node i; Whether a binary variable of energy storage is configured for the node i or not; The second cost is: Wherein, the Load cost is cut for a preset unit; Cutting the load size of a node j at the moment t under the scene s; The objective function is: Wherein, the As the annual probability of occurrence of extreme disasters corresponding to the failure scenario s, And the second cost of the new energy system in the fault scene s.
2. The energy storage planning method of a new energy system according to claim 1, wherein the constructing a typical scene set includes: Generating the first scene set; Generating the second scene set; and summarizing the first scene set and the second scene set to obtain the typical scene set.
3. The energy storage planning method of a new energy system according to claim 2, wherein said generating said first scene set comprises: Processing new energy information by using Weibull distribution and hierarchical sampling to generate a first energy sequence set, wherein the first energy sequence set comprises a plurality of energy sequences composed of the new energy information, and the new energy information is the numerical value of energy acquired by the new energy system under a conventional environment; Reducing the number of the energy sequences in the first energy sequence set through a K-means clustering algorithm to generate a second energy sequence set; And converting each energy sequence in the second energy sequence set into an output power sequence based on the relation between the new energy information and the output power of the new energy system driven by the new energy information, so as to obtain the first scene set.
4. The energy storage planning method of a new energy system according to claim 2, wherein said generating said second scene set comprises: generating extreme disaster information by adopting Batts model, wherein the extreme disaster information comprises disaster occurrence paths and disaster degrees; generating a third scene set by adopting Monte Carlo simulation, wherein the third scene set is a fault scene set of the new energy system corresponding to the extreme disaster information; and reducing the third scene set by a K-means clustering algorithm to obtain the second scene set.
5. The energy storage planning method of a new energy system according to claim 1, wherein the obtaining of the load data specifically includes the following steps: constructing an IEEE33 node power distribution system corresponding to the new energy system; adding random load multipliers to the loads of all nodes in the IEEE33 node power distribution system to generate the load data.
6. The energy storage planning method of a new energy system according to claim 1, wherein the obtaining the energy storage planning result according to the objective function and the constraint condition includes: Generating an energy storage planning model according to the objective function and the constraint condition; And solving the energy storage planning model to obtain the energy storage planning result.
7. An energy storage planning system of a new energy system, comprising: The scene set construction module is used for constructing a typical scene set, wherein the typical scene set comprises a first scene set and a second scene set, the first scene set is a set of each operation scene of the new energy system in a conventional environment, and the second scene set is a set of each operation scene of the new energy system in an extreme disaster environment; The first cost calculation module is used for calculating first cost according to preset energy storage configuration information, wherein the first cost is the energy storage investment cost of the new energy system in each operation scene of the first scene set; The second cost calculation module is used for calculating the product of the cut load of the new energy system in each operation scene of the second scene set and the preset unit cut load cost to obtain a plurality of second costs; An objective function construction module for constructing an objective function from the first cost and the plurality of second costs, the objective function for minimizing the first cost and the second cost; The constraint condition construction module is used for constructing constraint conditions according to a first factor and a second factor, wherein the first factor is the time sequence characteristic of the energy storage configuration information and the operation data of the new energy system, the operation data comprises the acquired load data and the output characteristic, and the second factor comprises the power rejection rate of the new energy system in each operation scene of the first scene set and the network topology reconstruction information of the new energy system in each operation scene of the second scene set; the energy storage planning result acquisition module is used for acquiring an energy storage planning result according to the objective function and the constraint condition; The energy storage configuration information comprises energy storage power, energy storage capacity and energy storage age information configured by nodes in the IEEE33 node power distribution system; the calculating the first cost according to the preset energy storage configuration information includes: Calculating the product of the stored energy power and the preset investment cost of the unit stored energy power to obtain a third cost; calculating the product of the energy storage capacity and the preset investment cost of the unit energy storage capacity to obtain a fourth cost; calculating the sum of the third cost and the fourth cost to obtain a fifth cost; Calculating the product of the fifth cost and the energy storage age information to obtain the first cost; Wherein, the expression of the first cost is: Wherein, the In order to store the energy storage period information, In order to achieve the discount rate, The service life of the energy storage is prolonged; Investment cost per unit energy storage capacity; Investment cost is unit energy storage power; the energy storage power configured for the node i; the energy storage capacity configured for node i; Whether a binary variable of energy storage is configured for the node i or not; The second cost is: Wherein, the Load cost is cut for a preset unit; Cutting the load size of a node j at the moment t under the scene s; The objective function is: Wherein, the As the annual probability of occurrence of extreme disasters corresponding to the failure scenario s, And the second cost of the new energy system in the fault scene s.
8. An energy storage planning device of a new energy system, which is characterized by comprising: At least one processor; At least one memory for storing at least one program; when the at least one program is executed by the at least one processor, the at least one processor is caused to implement a method of energy storage planning for a new energy system according to any one of claims 1-6.
9. A storage medium in which a processor-executable program is stored, which when executed by a processor is adapted to carry out a method of energy storage planning for a new energy system according to any one of claims 1-6.

Description

Energy storage planning method, system and device for new energy system and storage medium Technical Field The application relates to the field of power system safety planning, in particular to an energy storage planning method, system and device for a new energy system and a storage medium. Background With the development of a novel power system mainly comprising new energy, the increasing generation scale of the new energy brings higher requirements to the large-scale optimal configuration of the new energy generation and the flexibility level of the power system. Meanwhile, as the power generation scale of new energy is continuously increased, the new energy system has the characteristics of uncertainty, openness and complexity, and is difficult to resist extreme natural disasters and artificial attacks, and the operation risk is rapidly increased. In recent years, energy storage technology is mature, and the energy storage technology becomes a potential solution for improving the stability and flexibility of a new energy system and can promote new energy consumption. However, the energy storage planning method at the present stage still cannot cope with the extreme disaster environment, and the reduction effect on the cost of the new energy system is poor when the operation scene under the extreme disaster environment and the operation scene under the conventional environment are considered at the same time. Disclosure of Invention The present invention aims to solve at least one of the technical problems existing in the prior art to a certain extent. Therefore, the embodiment of the invention provides an energy storage planning method, an energy storage planning system, an energy storage planning device and a storage medium for a new energy system, and the cost minimization of the new energy system considering an extreme disaster environment and a conventional environment is realized. In order to achieve the technical purpose, the technical scheme adopted by the embodiment of the invention comprises the following steps: In one aspect, an embodiment of the present invention provides an energy storage planning method for a new energy system, including the following steps: Constructing a typical scene set, wherein the typical scene set comprises a first scene set and a second scene set, the first scene set is a set of each operation scene of the new energy system in a conventional environment, and the second scene set is a set of each operation scene of the new energy system in an extreme disaster environment; calculating a first cost according to preset energy storage configuration information, wherein the first cost is the energy storage investment cost of the new energy system in each operation scene of the first scene set; Calculating the product of the load shedding of the new energy system in each operation scene of the second scene set and the preset unit load shedding cost to obtain a plurality of second costs; Constructing an objective function from the first cost and the plurality of second costs, the objective function for minimizing the first cost and the second cost; Constructing constraint conditions according to a first factor and a second factor, wherein the first factor is the time sequence characteristic of the energy storage configuration information and the operation data of the new energy system, the operation data comprises the acquired load data and output characteristics, and the second factor comprises the power rejection rate of the new energy system in each operation scene of the first scene set and the network topology reconstruction information of the new energy system in each operation scene of the second scene set; and obtaining an energy storage planning result according to the objective function and the constraint condition. In addition, the energy storage planning method of the new energy system according to the above embodiment of the present invention may further have the following additional technical features: further, in the energy storage planning method of the new energy system according to the embodiment of the present invention, the constructing a typical scene set includes: Generating the first scene set; Generating the second scene set; and summarizing the first scene set and the second scene set to obtain the typical scene set. Further, in an embodiment of the present invention, the generating the first scene set includes: Processing new energy information by using Weibull distribution and hierarchical sampling to generate a first energy sequence set, wherein the first energy sequence set comprises a plurality of energy sequences composed of the new energy information, and the new energy information is the numerical value of energy acquired by the new energy system under a conventional environment; Reducing the number of the energy sequences in the first energy sequence set through a K-means clustering algorithm to generate a second energy sequence set; And co