CN-122000942-A - Electric energy-inertia collaborative optimization scheduling method, system, equipment and storage medium considering frequency security constraint

CN122000942ACN 122000942 ACN122000942 ACN 122000942ACN-122000942-A

Abstract

The invention discloses an electric energy-inertia collaborative optimization scheduling method, system, equipment and storage medium considering frequency safety constraint, wherein the method comprises the following steps of determining a system inertia demand index according to a system test result or a power grid requirement; establishing a system frequency safety constraint based on the system inertia demand index and the inertia supply characteristics of each generator set; the invention aims at optimizing the power grid economy, introduces the frequency safety constraint of the system into a basic unit dispatching model, builds an electric energy-inertia cooperative optimization dispatching model, configures the output and inertia supply quantity of each generator unit according to the electric energy-inertia cooperative optimization dispatching model, and realizes the cooperative optimization dispatching of the output and inertia of the generator unit.

Inventors

WANG BEIBEI
Lou Jiashu
ZHANG JUN
YANG SHENSHENG
LIN SUNBEN
YANG XIAOLEI
TANG QIWEN
Cao Rongzhang
CHANG LI
MOU YUTING
YANG YING
LI BIN

Assignees

国网浙江省电力有限公司嘉兴供电公司
国网电力科学研究院有限公司
东南大学

Dates

Publication Date: 20260508
Application Date: 20251205

Claims (14)

1. A power energy-inertia collaborative optimization scheduling method considering frequency safety constraint is characterized by comprising the following steps of determining a system inertia demand index according to a system test result or a power grid requirement, establishing the system frequency safety constraint based on the system inertia demand index and inertia supply characteristics of each generator set, introducing the system frequency safety constraint into a basic unit scheduling model to construct a power energy-inertia collaborative optimization scheduling model by taking power grid economical optimization as a target, and configuring the output and inertia supply quantity of each generator set according to the power energy-inertia collaborative optimization scheduling model to realize collaborative optimization scheduling of the output and inertia of the generator set.
2. The electric energy-inertia collaborative optimization scheduling method considering frequency security constraints according to claim 1, wherein the system inertia demand index is determined according to minimum system inertia constant requirements specified in national standards.
3. The electric energy-inertia collaborative optimization scheduling method considering the frequency safety constraint according to claim 1 is characterized in that the system frequency safety constraint comprises the steps of calculating an equivalent inertia time constant and equivalent kinetic energy of a system, and simultaneously associating the inertia time constant and rated capacity of each generator set to ensure that the inertia level of the system meets the safe operation requirement.
4. The electric energy-inertia collaborative optimization scheduling method considering the frequency safety constraint according to claim 1, wherein the objective function of the electric energy-inertia collaborative optimization scheduling model comprises coal consumption cost, start-stop cost and opportunity cost of a new energy unit caused by the fact that the new energy unit provides virtual inertia to reduce output.
5. The electric energy-inertia collaborative optimization scheduling method considering frequency security constraints according to claim 1, wherein the electric energy-inertia collaborative optimization scheduling model further comprises node power balance constraints, branch power flow security constraints, upper and lower unit output limit constraints, unit start-stop time constraints, unit climbing rate constraints and unit start-stop cost constraints.
6. The electric energy-inertia collaborative optimization scheduling method considering frequency safety constraints according to claim 1 is characterized in that the power generation unit power output and inertia supply quantity configuration comprises the steps of adjusting the start-stop state and the power output level of a thermal power unit, controlling whether a new energy unit provides virtual inertia and the power output of the new energy unit, wherein the maximum power output of the new energy unit is correspondingly reduced when the new energy unit provides the virtual inertia, and opportunity cost is related to the virtual inertia supply quantity.
7. An electric energy-inertia collaborative optimization scheduling system taking frequency security constraints into account, comprising: the index module is used for determining a system inertia demand index according to a system test result or a power grid requirement; the frequency safety constraint module is used for establishing system frequency safety constraint based on the system inertia demand index and the inertia supply characteristics of each generator set; The electric energy-inertia collaborative optimization scheduling module is used for taking power grid economy optimization as a target, introducing system frequency safety constraint into a basic unit scheduling model, and constructing an electric energy-inertia collaborative optimization scheduling model; the collaborative optimization scheduling module is used for configuring the output and inertia supply quantity of each generator set according to the electric energy-inertia collaborative optimization scheduling model, and realizing collaborative optimization scheduling of the output and inertia of the generator set.
8. The electric energy-inertia collaborative optimization scheduling system considering frequency security constraints according to claim 7, wherein the index module determines the system inertia requirement index according to minimum system inertia constant requirements specified in national standards.
9. The electric energy-inertia collaborative optimization scheduling system considering the frequency safety constraint according to claim 7, wherein in the frequency safety constraint module, the system frequency safety constraint comprises calculating an equivalent inertia time constant and equivalent kinetic energy of the system, and simultaneously associating the inertia time constant and rated capacity of each generator set to ensure that the system inertia level meets the safe operation requirement.
10. The electric energy-inertia collaborative optimization scheduling system considering the frequency security constraint according to claim 7, wherein in the electric energy-inertia collaborative optimization scheduling module, the objective function of the electric energy-inertia collaborative optimization scheduling model comprises coal consumption cost, start-stop cost and opportunity cost of a new energy unit caused by the fact that the virtual inertia is provided to reduce the output.
11. The electric energy-inertia collaborative optimization scheduling system considering frequency security constraints according to claim 7, wherein in the electric energy-inertia collaborative optimization scheduling module, the electric energy-inertia collaborative optimization scheduling model further comprises node power balance constraint, branch power flow security constraint, unit output upper and lower limit constraint, unit start-stop time constraint, unit climbing rate constraint and unit start-stop cost constraint.
12. The electric energy-inertia collaborative optimization scheduling system considering frequency security constraints according to claim 7, wherein the configuration of the output and the inertia supply of the generator set comprises adjusting the start-stop state and the output level of the thermal power unit, and controlling whether the new energy set provides virtual inertia and the output level thereof, wherein the maximum output of the new energy set is correspondingly reduced when the new energy set provides the virtual inertia, and the opportunity cost is related to the virtual inertia supply.
13. An electronic device comprising a memory and a processor, the memory storing a computer program, the processor implementing the steps of the method of claims 1-7 when the program is executed.
14. A computer readable storage medium, characterized in that a computer program is stored, which program, when being executed by a processor, carries out the steps of the method according to claims 1-7.

Description

Electric energy-inertia collaborative optimization scheduling method, system, equipment and storage medium considering frequency security constraint Technical Field The invention relates to the technical field of operation of power systems, in particular to an electric energy-inertia collaborative optimization scheduling method, system equipment and a storage medium considering frequency safety constraint. Background In the construction process of the novel power system, the low inertia problem caused by gradual exit of the coal-fired unit, high-proportion new energy, high-capacity direct-current transmission and other power electronic equipment access makes the frequency safe and stable face a great challenge. The national energy source office issues a new edition of electric auxiliary service management method at the end of 2021, and provides novel auxiliary service of inertia so as to cope with the influence of weak inertia systems such as wind and light on the operation of a power grid under the construction background of a novel electric power system. Therefore, the construction of the inertia market conforming to the energy structure and resource characteristics of China has very urgent practical significance. However, the current stage of China is still in the primary stage of spot market construction, the market mechanisms of spot market and auxiliary service market are still not sound, the existing electric power spot market clearing and pricing algorithm is limited by the type of domestic electric power spot market trade varieties, and the clearing and pricing algorithm only supports electric energy, peak shaving, frequency modulation and clearing and pricing of the standby market, so that the requirement of a novel electric power system on inertia is difficult to meet. Disclosure of Invention The invention aims to provide an electric energy-inertia collaborative optimization scheduling method, system equipment and storage medium considering frequency safety constraint, so as to solve the problems in the background technology. The electric energy-inertia collaborative optimization scheduling method based on frequency safety constraint comprises the following steps of determining a system inertia demand index according to a system test result or a power grid requirement, establishing system frequency safety constraint based on the system inertia demand index and inertia supply characteristics of each generator set, constructing an electric energy-inertia collaborative optimization scheduling model by taking power grid economy optimization as a target and introducing the system frequency safety constraint into a basic unit scheduling model, and configuring output and inertia supply quantities of each generator set according to the electric energy-inertia collaborative optimization scheduling model to realize collaborative optimization scheduling of unit output and inertia. Further, the system inertia requirement index is determined according to the minimum system inertia constant requirement specified in the national standard. Further, the system frequency safety constraint comprises calculating the equivalent inertia time constant and equivalent kinetic energy of the system, and simultaneously associating the inertia time constant and rated capacity of each generator set to ensure that the system inertia level meets the safety operation requirement. Further, the objective function of the electric energy-inertia collaborative optimization scheduling model comprises coal consumption cost, start-stop cost and opportunity cost of the new energy unit caused by the fact that the new energy unit provides virtual inertia to reduce output. Furthermore, the electric energy-inertia collaborative optimization scheduling model also comprises node power balance constraint, branch power flow safety constraint, unit output upper and lower limit constraint, unit start-stop time constraint, unit climbing rate constraint and unit start-stop cost constraint. Further, the configuration of the output and inertia supply quantity of the generator set comprises the steps of adjusting the start-stop state and the output level of the thermal power unit, and controlling whether the new energy unit provides virtual inertia and the output quantity of the new energy unit, wherein the maximum output of the new energy unit is correspondingly reduced when the new energy unit provides the virtual inertia, and the opportunity cost is related to the virtual inertia supply quantity. The invention relates to an electric energy-inertia collaborative optimization scheduling system considering frequency safety constraint, which comprises the following components: the index module is used for determining a system inertia demand index according to a system test result or a power grid requirement; the frequency safety constraint module is used for establishing system frequency safety constraint based on the system inertia demand index and the