CN106786558B - Flexible load regulation and control simulation system and method based on dispatching automation master station system - Google Patents
Flexible load regulation and control simulation system and method based on dispatching automation master station system Download PDFInfo
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- H02J3/005—
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
Abstract
The invention relates to a flexible load regulation and control simulation system and method based on a dispatching automation master station system, wherein the simulation system comprises the dispatching automation master station system, a power grid simulation platform and a Netlogo multi-agent flexible load response simulation system, the Netlogo multi-agent flexible load response simulation system comprises a Netlogo interaction expansion packet and a multi-agent flexible load response simulation platform, the power grid simulation platform, the Netlogo interaction expansion packet and the multi-agent flexible load response simulation platform sequentially carry out data interaction, and the power grid simulation platform and the Netlogo interaction expansion packet both carry out data interaction with the dispatching automation master station system. The invention effectively combines a dispatching automation master station system, a power grid simulation platform and a multi-agent simulation platform together to form a set of closed-loop continuous operation system for flexible load regulation and control; an evaluation verification environment is provided for the research of the flexible load scheduling control strategy; the method has strong adaptability on multi-type load simulation and source-network-load interactive scene construction.
Description
Technical Field
The invention relates to the field of power system automation, in particular to a flexible load regulation and control simulation system and method based on a dispatching automation master station system.
Background
Along with the large-scale access of new energy, the uncertainty of a power system is increased, and huge pressure is brought to the power regulation of the system; at the same time, with the gradual opening of the demand side market, the flexible load provides a resource for system regulation. Therefore, a large number of flexible load scheduling methods and control strategies are proposed at home and abroad to improve the system regulation capacity and maintain the system to be safe, reliable and economic in operation. However, how to realize the simulation of the flexible load regulation based on the dispatching automation master station system so as to evaluate and verify the dispatching methods and the control strategies is a problem to be solved urgently in developing the flexible load dispatching control research at present.
Disclosure of Invention
In order to solve the defects in the prior art, the invention aims to provide a flexible load regulation and control simulation system and a flexible load regulation and control simulation method based on a dispatching automation master station system, wherein the system of the invention is used for building a set of flexible load regulation and control simulation system comprising the dispatching automation master station system, a power grid simulation platform and a load response simulation platform based on the dispatching automation master station system, and mainly comprises the following contents: a flexible load regulation simulation system framework; a flexible load regulation and control simulation process; the development and deployment of simulation system functional modules and data interfaces and the multi-agent flexible load response simulation system.
The purpose of the invention is realized by adopting the following technical scheme:
the invention provides a flexible load regulation and control simulation system based on a dispatching automation master station system, which is improved in that the simulation system comprises the dispatching automation master station system, a power grid simulation platform and a Netlogo (programmable modeling environment for simulating natural and social phenomena) multi-intelligent-agent flexible load response simulation system, wherein the Netlogo multi-intelligent-agent flexible load response simulation system comprises a Netlogo interactive expansion packet and a multi-intelligent-agent flexible load response simulation platform, the power grid simulation platform, the Netlogo interactive expansion packet and the multi-intelligent-agent flexible load response simulation platform sequentially carry out data interaction, and the power grid simulation platform and the Netlogo interactive expansion packet both carry out data interaction with the dispatching automation master station system.
Further, the power grid simulation platform is used for simulating the response of a power system and realizing the continuous long-process simulation calculation of the power grid, and comprises a power flow calculation module for power flow calculation, a frequency calculation module for frequency calculation, a power generation load curve tracking module, a secondary equipment simulation module, an Automatic Voltage Control (AVC) simulation module, an automatic power generation control (AGC) module and a simulation clock control module;
the power grid simulation platform can form a complete closed-loop simulation system with the dispatching automation master station system, on one hand, power grid simulation data can be provided for the dispatching automation master station system, on the other hand, a remote-regulating remote-control instruction of the dispatching automation master station system is received, closed-loop simulation of the instruction is carried out, and a simulation result is fed back to the dispatching automation master station system.
Further, the dispatching automation master station system is used for providing a carrying environment for the flexible load dispatching application, the flexible load dispatching application carries out rolling optimization for 5 minutes according to the load prediction data, the power grid state information and the adjustable resource information, and a unit regulation plan and a flexible load regulation plan of the current power system, which accord with the optimal target, are solved.
Further, the Netlogo interactive extension packet is used for realizing data interaction between the multi-agent flexible load response simulation platform and the power grid simulation platform, and comprises power regulation target information, system frequency information and price signals of a node to which the flexible load belongs, and flexible load response simulation result data; the Netlogo interactive expansion package also provides a data interactive interface between the multi-agent flexible load response simulation platform and the flexible load data file.
Further, the data interaction interface function comprises:
configuring flexible load model information: the configuration file of the flexible load model comprises control information, node interaction information, a polymer connection matrix, polymer information, agent information and power utilization element information; the information is used for describing the controlled mode of the flexible load, the connection relation with the power grid, the communication structure and the action parameters of the load and the polymer;
and (3) monitoring a control instruction: the Netlogo interactive expansion packet opens up a regulation and control instruction monitoring thread when a flexible load simulation program enters power tracking, the thread acquires the target power of the current load agent from the power grid simulation platform in each load simulation step length, linear interpolation is carried out according to the load power adjustment rate, and the target power of the load agent of the next cycle is obtained; the flexible load simulation program simulates the response process of the flexible load according to the next cycle target power value;
flexible load response result sampling: through a database access interface provided by a Netlogo interactive extension packet, the multi-agent flexible load response simulation platform updates a load response result to the power grid simulation platform in real time within each simulation step length; when the flexible load simulation process selects a sampling function, the load simulation opens a sampling thread through a Netlogo interactive expansion packet, and load response data and time marks are written into a historical database or a file at specified sampling time step lengths.
Furthermore, on a multi-intelligent-agent flexible load response simulation platform, multi-intelligent-agent modeling is carried out on the bottom-layer electric elements, the load clustering polymer and the flexible load agents, and the multi-intelligent-agent modeling is used for realizing agent decision, polymer communication interaction and simulation of electric element response.
The invention provides a regulation and control simulation method of a flexible load regulation and control simulation system based on a dispatching automation master station system, which is improved in that the regulation and control simulation method comprises the following steps:
step 1-1: preparing data;
step 1-2: a 5 minute rolling schedule;
step 1-3: automatic power generation control;
step 1-4: flexible load response simulation;
step 1-5: and (5) power grid simulation.
Further, in the step 1-1, the data information includes load prediction data of 1 hour in the future, which is acquired by the 5-minute rolling optimization application, power grid model data, unit operation information, unit adjustment cost, flexible load adjustment cost, and power consumption characteristics of the flexible load;
and the data information is updated once every 5 minutes, and a data source for 5-minute electricity generation and utilization combined optimization program is generated.
Further, in the step 1-2, the automatic dispatching master station system starts a rolling optimization program every 5 minutes, and the unit power generation plan and the load response expectation of one hour in the future are solved under the current power system operation state through optimization calculation.
Further, in the step 1-3, the automatic dispatching master station system issues a 5-minute dispatching plan target value of the set to an AGC analog simulation module, and the AGC analog simulation module calculates a power tracking target of the set according to an actual operation state of the power system, particularly an Area Control Error (ACE), and issues a power control instruction to the set; meanwhile, the flexible load with the rapid adjusting capacity participates in AGC adjustment of the power system, and a power adjusting target of the flexible load with the rapid adjusting capacity is obtained through calculation of an AGC analog simulation module and is issued to a controller of the flexible load with the rapid adjusting capacity; wherein, the flexible load with the rapid adjusting capability refers to the load which can realize the adjustment of the power within the range from the minimum value to the maximum value within 5 minutes; the controller of the flexible load comprises two types: the intelligent charging and discharging controller comprises an intelligent socket and an intelligent ammeter, and comprises an air conditioner temperature control single chip microcomputer and a charging and discharging control chip.
Further, in the step 1-4, the flexible load with the fast response capability receives an AGC control instruction, converts a power signal into a control signal of the bottom-layer electric element through simulation of the controller, and realizes simulation of a response process of the flexible load with the fast response capability based on a bottom-layer electric element model;
for flexible loads participating in a 5-minute rolling plan in a proxy mode, making a decision according to a load response expectation issued by a dispatching automation main station system to generate a bottom layer load control instruction, controlling the power utilization behavior of a power utilization element by a responding bottom layer load controller, including generating an adjusting instruction of air conditioner set temperature and a charging and discharging signal of an electric automobile, and finally simulating the actual load response based on a bottom layer power utilization element model; and the bottom layer electric element responds to the result and updates the load power of the node of the flexible load through the Netlogo interactive extension packet.
Further, the steps 1 to 4 include the steps of:
step 4-1: starting a simulation project of the multi-agent flexible load response simulation platform, wherein the simulation project is as follows: the simulation system is developed on a multi-agent flexible load response simulation platform, and comprises an agent initialization module, a multi-agent communication module, an agent action module, an agent input signal monitoring and state sampling module, and a data monitoring and displaying module, wherein the simulation system is used for simulating flexible load control, load autonomous response and load physical process evolution;
step 4-2: reading a configuration file of the flexible load model, and completing flexible load physical parameter setting, user parameter initialization and communication structure initialization;
step 4-3: reading the reference power of the node at regular time;
step 4-4: simulation of a flexible load response process: calculating total target power of the loads under the administration of the agents by the agent, calculating a load cluster regulation target parameter by the aggregate, and acting by the electric element; the flexible load which participates in AGC adjustment and has the rapid adjustment capability carries out load response simulation through a controller according to node reference power (the flexible load adapts to various load response strategies, action logics of different strategies have flexibility and diversity, the framework is not influenced by specific load power adjustment logics, and therefore a calculation formula of the load adjustment reference power is not specified);
and 4-5: response result sampling: calculating the actual response power of the flexible load according to the response result of the bottom electric element; and updating the power grid model data of the power grid simulation platform.
Further, the decision comprises an interruptible load agent decision, a transferable load agent decision and a bidirectional load agent decision; the transferable load agent decision comprises air conditioner temperature setting and adjusting, electric vehicle charging and discharging control and large user interruption control.
Further, in the steps 1 to 5, the power grid simulation platform simulates the power regulation of the unit according to an AGC control instruction issued by the dispatching automation master station system and the unit model, calculates the power flow and frequency of the power system according to the current power grid operation data, and updates the power grid model.
Compared with the closest prior art, the technical scheme provided by the invention has the following excellent effects:
the flexible load provides an important resource for system power balance, but the scheduling and control of the flexible load become more difficult due to the variability and uncertainty of the flexible load, and the flexible load in the power system has huge number and complex and various types, so a set of reasonable flexible load response simulation method is established, the interconnection with the conventional scheduling platform is realized, and a foundation can be provided for the research of the flexible load scheduling control. The flexible load simulation environment construction method provided by the invention effectively combines a dispatching automation master station system, a power grid simulation platform and a multi-agent simulation platform together to form a set of closed-loop continuous operation system for flexible load regulation and control; providing an environment for evaluation and verification for the research of the flexible load scheduling control strategy; meanwhile, a method for configuring a load model and a communication structure is provided, and the method has strong adaptability on multi-type load simulation and 'source-network-load' interactive scene construction.
For the purposes of the foregoing and related ends, the one or more embodiments include the features hereinafter fully described and particularly pointed out in the claims. The following description and the annexed drawings set forth in detail certain illustrative aspects and are indicative of but a few of the various ways in which the principles of the various embodiments may be employed. Other benefits and novel features will become apparent from the following detailed description when considered in conjunction with the drawings and the disclosed embodiments are intended to include all such aspects and their equivalents.
Drawings
FIG. 1 is a frame diagram of a flexible load regulation simulation system provided by the present invention;
FIG. 2 is a flow chart of a method for controlling a flexible load according to the present invention;
FIG. 3 is a data interaction interface framework diagram of a multi-agent flexible load response simulation platform provided by the present invention;
FIG. 4 is a flow chart of a multi-agent flexible load response simulation provided by the present invention.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
The following description and the drawings sufficiently illustrate specific embodiments of the invention to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely typify possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in or substituted for those of others. The scope of embodiments of the invention encompasses the full ambit of the claims, as well as all available equivalents of the claims. Embodiments of the invention may be referred to herein, individually or collectively, by the term "invention" merely for convenience and without intending to voluntarily limit the scope of this application to any single invention or inventive concept if more than one is in fact disclosed.
Example one
As shown in fig. 1, the framework diagram of the flexible load regulation and control simulation environment provided by the present invention includes a scheduling automation master station system, a power grid simulation platform and a Netlogo multi-agent flexible load response simulation system, wherein the scheduling automation master station system mainly provides a carrying environment for flexible load scheduling application, the power grid simulation platform mainly simulates electric power system response, and the Netlogo multi-agent flexible load response simulation system mainly simulates a flexible load response process. Wherein Netogo is a piece of general multi-agent simulation modeling software. The Netlogo multi-intelligent-agent flexible load response simulation system comprises a Netlogo interaction extension packet and a multi-intelligent-agent flexible load response simulation platform, the power grid simulation platform, the Netlogo interaction extension packet and the multi-intelligent-agent flexible load response simulation platform sequentially carry out data interaction, and the power grid simulation platform and the Netlogo interaction extension packet both carry out data interaction with the dispatching automation main station system.
Wherein: the power grid simulation platform is used for realizing continuous long-process simulation calculation of a power grid, and has the main functions of load flow calculation, frequency calculation, power generation load curve tracking, secondary equipment simulation, AVC and AGC simulation, simulation clock control and the like. The power grid simulation platform can form a complete closed-loop simulation system with the master station system, on one hand, power grid simulation data can be provided for the dispatching automation master station system, on the other hand, a remote-regulation remote control instruction of the dispatching master station can be received, instruction closed-loop simulation is carried out, and a simulation result is fed back to the dispatching automation master station system.
The automated master system flexible load scheduling application is based on scheduling. And performing rolling optimization for 5 minutes in the flexible load scheduling according to the load prediction data, the power grid state information, the adjustable resource information and the like, and solving a unit adjustment plan and a flexible load adjustment plan of which the current system accords with an optimal target.
Netlogo and Netlogo interaction extension packet of the power grid simulation platform: the method mainly realizes data interaction between a multi-agent flexible load response simulation platform Netlogo and a power grid simulation platform, and comprises power regulation target information, system frequency information and price signals of a node to which a flexible load belongs, flexible load response simulation result data and the like. Meanwhile, the extension packet also provides a data interaction interface between the Netlogo platform and the flexible load data file.
A multi-agent flexible load response simulation platform based on Netlogo. On a multi-agent flexible load response simulation platform, multi-agent modeling is carried out on bottom-layer power utilization elements, load clustering polymers and flexible load agents, and agent decision, polymer communication interaction and power utilization element response simulation are realized.
Wherein: the development and deployment of the data interaction interface of the multi-agent flexible load response simulation platform provided by the invention are combined with the data interaction interface shown in fig. 3, and the functions of the data interaction interface can be expressed as follows:
and configuring flexible load model information. The flexible load model configuration information comprises total control information, node interaction information, a polymer connection matrix, polymer information, agent information and power utilization element information. The information is used for describing the controlled mode of the flexible load, the connection relation with the power grid, the communication structure and action parameters of the load and the polymer.
And monitoring a control instruction. The Netlogo interaction extension packet can open up a regulation and control instruction monitoring thread when a flexible load simulation program enters power tracking, the thread can obtain the target power of the current load agent from the power grid simulation platform in each load simulation step length, linear interpolation is carried out according to the load power adjustment rate, and the target power of the load agent of the next cycle is obtained. The flexible load simulation program simulates the load response process according to the next cycle target power value.
Flexible load response result sampling: through a database access interface provided by the Netlogo interactive extension packet, the multi-agent simulation platform updates the load response result to the power grid simulation platform in real time within each simulation step length. When a sampling function is selected in the flexible load simulation process, the load simulation program opens a sampling thread through the extension packet, and load response data and time marks are written into a historical database or a file at specified sampling time step lengths.
Example two
Based on the same inventive concept, the invention also provides a simulation method of the flexible load regulation and control simulation system based on the dispatching automation master station system, the flow chart of which is shown in fig. 2, and the method comprises the following steps:
step 1-1: and (4) preparing data. And (3) acquiring load prediction data, unit operation information, unit adjustment cost, flexible load adjustment cost and electricity utilization characteristics of the flexible load in the next 1 hour by the 5-minute rolling optimization application. And the information is updated every 5 minutes, and a data source for 5-minute generation of the electricity joint optimization program is generated.
Step 1-2: the program was scrolled for 5 minutes. And starting a rolling optimization program every 5 minutes by the dispatching automation master station system, and solving a power generation plan and a load response expectation of one hour in the future under the current system operation state through optimization calculation.
Step 1-3: and (5) automatic power generation control. And the dispatching automation master station system dispatches a planned target value to the AGC for 5 minutes, and the AGC program calculates a power tracking target of the unit according to the actual running state of the system, particularly the area control deviation (ACE), and dispatches a power control instruction to the unit. Meanwhile, a part of flexible load with quick adjustment capability can also participate in AGC adjustment of the system, and the power adjustment target of the part of flexible load is calculated through an AGC program and is sent to a controller for quickly responding to the load.
Step 1-4: and (5) flexible load response simulation. A part of load with quick response capability receives the control instruction of AGC, the power signal is converted into the control signal of the bottom layer electric element through the simulation of the controller, and the simulation of the response process of the load is realized based on the model of the bottom layer electric element. For flexible loads participating in a 5-minute rolling plan in a proxy mode, decision is made according to load response expectation issued by a scheduling main station, a bottom layer load control instruction is generated, power utilization behaviors of power utilization elements including an adjusting instruction of air conditioner set temperature, electric automobile charging and discharging signals and the like are controlled by a responding bottom layer load controller, and finally, actual load response is simulated based on a bottom layer power utilization element model. And finally updating the load power of the node of the flexible load by the response result of the bottom-layer electric element through the Netlogo interactive extension packet.
Step 1-5: and (5) power grid simulation. And the power grid simulation platform simulates the power regulation of the unit according to an AGC control instruction issued by the master station system and the unit model, calculates the load flow and frequency of the system according to the current power grid operation data, and updates the power grid model.
Preferably, the flow chart of the flexible load response simulation of steps 1-4 is shown in fig. 4, and includes the following steps:
step 4-1: starting a Netlogo flexible load simulation project;
step 4-2: reading the configuration file, and finishing the setting of the physical parameters of the flexible load, the initialization of the user parameters and the initialization of the communication structure;
step 4-3: reading the reference power of the node at fixed time;
step 4-4: and (3) simulating a flexible load response process. The method comprises the steps that firstly, an agent calculates the total target power of loads administered by the agent, then, a polymer calculates load cluster regulation target parameters, and electric elements act. And the quick response load participating in AGC adjustment carries out load response simulation through the controller directly according to the reference power of the node.
And 4-5: the response results are sampled. Calculating the actual response power of the flexible load according to the response result of the bottom electric element; and updating the power grid model data of the power grid simulation platform.
The flexible load simulation system and the method provided by the invention effectively combine the dispatching automation master station system, the power grid simulation platform and the multi-agent simulation platform together to form a set of closed-loop continuous operation system for flexible load regulation and control; providing an environment for evaluation and verification for the research of the flexible load scheduling control strategy; meanwhile, a method for configuring a load model and a communication structure is provided, and the method has strong adaptability on multi-type load simulation and 'source-network-load' interactive scene construction.
Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art can make modifications and equivalents to the embodiments of the present invention without departing from the spirit and scope of the present invention, which is set forth in the claims of the present application.
Claims (8)
1. A flexible load regulation and control simulation system based on a dispatching automation master station system is characterized in that the simulation system comprises the dispatching automation master station system, a power grid simulation platform and a Netlogo multi-agent flexible load response simulation system, the Netlogo multi-agent flexible load response simulation system comprises a Netlogo interaction expansion packet and a multi-agent flexible load response simulation platform, the power grid simulation platform, the Netlogo interaction expansion packet and the multi-agent flexible load response simulation platform sequentially carry out data interaction, and the power grid simulation platform and the Netlogo interaction expansion packet both carry out data interaction with the dispatching automation master station system;
the power grid simulation platform is used for simulating the response of a power system and realizing the continuous long-process simulation calculation of a power grid and comprises a load flow calculation module, a frequency calculation module, a power generation load curve tracking module, a secondary equipment simulation module, an automatic voltage control simulation module, an automatic power generation control simulation module and a simulation clock control module;
the power grid simulation platform and the dispatching automation master station system can form a complete closed-loop simulation system, on one hand, power grid simulation data can be provided for the dispatching automation master station system, on the other hand, a remote-regulation remote control instruction of the dispatching automation master station system is received, closed-loop simulation of the instruction is carried out, and a simulation result is fed back to the dispatching automation master station system; the dispatching automation master station system is used for providing a carrying environment for flexible load dispatching application, the flexible load dispatching application carries out rolling optimization for 5 minutes according to load prediction data, power grid state information and adjustable resource information, and a unit regulation plan and a flexible load regulation plan of a current power system which accord with an optimal target are solved;
the Netlogo interactive expansion package is used for realizing data interaction between the multi-agent flexible load response simulation platform and the power grid simulation platform, and comprises power regulation target information, system frequency information, price signals and flexible load response simulation result data of a node to which a flexible load belongs; the Netlogo interactive extension packet also provides a data interactive interface between the multi-agent flexible load response simulation platform and the flexible load data file;
the data interaction interface function comprises:
configuring flexible load model information: the configuration file of the flexible load model comprises control information, node interaction information, a polymer connection matrix, polymer information, agent information and power utilization element information; the information is used for describing the controlled mode of the flexible load, the connection relation with the power grid, the communication structure and the action parameters of the load and the polymer;
and (3) monitoring a control instruction: the Netlogo interactive expansion packet opens up a regulation and control instruction monitoring thread when a flexible load simulation program enters power tracking, the thread acquires the target power of the current load agent from the power grid simulation platform in each load simulation step length, linear interpolation is carried out according to the load power adjustment rate, and the target power of the load agent of the next cycle is obtained; the flexible load simulation program simulates the response process of the flexible load according to the next cycle target power value;
flexible load response result sampling: through a database access interface provided by a Netlogo interactive extension packet, the multi-agent flexible load response simulation platform updates a load response result to the power grid simulation platform in real time within each simulation step length; when the sampling function is selected in the flexible load simulation process, the load simulation opens a sampling thread through a Netlogo interactive expansion packet, and load response data and time scales are written into a historical database or a file at intervals of specified sampling time step length;
on a multi-agent flexible load response simulation platform, multi-agent modeling is carried out on bottom-layer power utilization elements, load clustering polymers and flexible load agents, and the multi-agent modeling is used for realizing agent decision, polymer communication interaction and simulation of power utilization element response.
2. The regulation and control simulation method of the flexible load regulation and control simulation system based on the dispatching automation master station system as claimed in claim 1, wherein the regulation and control simulation method comprises the following steps:
step 1-1: preparing data;
step 1-2: 5 minute rolling schedule;
step 1-3: automatic generation AGC control;
step 1-4: flexible load response simulation;
step 1-5: and (5) power grid simulation.
3. The regulation and control simulation method according to claim 2, wherein in the step 1-1, the data information comprises load prediction data of 1 hour in the future, power grid model data, unit operation information, unit adjustment cost, flexible load adjustment cost and electricity utilization characteristics of the flexible load, which are acquired by a 5-minute rolling optimization application;
and the data information is updated every 5 minutes, and a data source for generating the electricity joint optimization program in 5 minutes is generated.
4. The regulation and control simulation method according to claim 2, wherein in the step 1-2, the dispatching automation master station system starts a rolling optimization program every 5 minutes, and the unit power generation plan and the load response expectation of one hour in the future are solved under the current power system operation state through optimization calculation.
5. The regulation and control simulation method according to claim 2, wherein in the step 1-3, the automatic master scheduling system issues a 5-minute scheduling plan target value of the unit to the AGC analog simulation module, and the AGC analog simulation module calculates a power tracking target of the unit according to an actual operation state of the power system, including a regional control deviation, and issues a power control instruction to the unit; meanwhile, the flexible load with the rapid adjusting capacity participates in AGC adjustment of the power system, and a power adjusting target of the flexible load with the rapid adjusting capacity is obtained through calculation of an AGC analog simulation module and is issued to a controller of the flexible load with the rapid adjusting capacity; wherein, the flexible load with the rapid adjusting capability refers to the load which can realize the adjustment of the power within the range from the minimum value to the maximum value within 5 minutes; the controller of the flexible load comprises two types: the intelligent power consumption controller comprises an intelligent socket and an intelligent ammeter, and the other type of the intelligent power consumption controller comprises an air conditioner temperature control single chip microcomputer and a charging pile charging and discharging control chip.
6. The regulation and control simulation method according to claim 2, wherein in the steps 1 to 4, the flexible load with the rapid response capability receives an AGC control command, the power signal is converted into a control signal of the bottom layer electric element through simulation of a controller, and the response process simulation of the flexible load with the rapid response capability is realized based on a bottom layer electric element model;
for flexible loads participating in a 5-minute rolling plan in a broker mode, making a decision according to load response expectation issued by a dispatching automation master station system, generating a bottom layer load control instruction, controlling the power utilization behavior of a power utilization element by a responding bottom layer load controller, including generating an adjusting instruction of air conditioner set temperature and an electric vehicle charge and discharge signal, and finally simulating the actual load response based on a bottom layer power utilization element model; updating the load power of the node of the flexible load through the Netlogo interactive extension packet according to the response result of the bottom-layer electric element;
the decision comprises an interruptible load agent decision, a transferable load agent decision and a bidirectional load agent decision; the transferable load agent decision comprises air conditioner temperature setting and adjusting, electric vehicle charging and discharging control and large user interruption control.
7. The regulation and control simulation method of claim 6, wherein the steps 1-4 comprise the steps of:
step 4-1: starting a simulation project of the multi-agent flexible load response simulation platform, wherein the simulation project is as follows: the simulation system is developed on a multi-agent flexible load response simulation platform, and comprises an agent initialization module, a multi-agent communication module, an agent action module, an agent input signal monitoring and state sampling module, and a data monitoring and displaying module, wherein the simulation system is used for simulating flexible load control, load autonomous response and load physical process evolution;
step 4-2: reading a configuration file of the flexible load model, and completing flexible load physical parameter setting, user parameter initialization and communication structure initialization;
step 4-3: reading the reference power of the node at fixed time;
step 4-4: simulation of a flexible load response process: calculating total target power of the loads under the administration of the agents by the agent, calculating a load cluster regulation target parameter by the aggregate, and acting by the electric element; the flexible load which participates in AGC adjustment and has the rapid adjustment capability carries out load response simulation through the controller according to the node reference power;
and 4-5: response result sampling: calculating the actual response power of the flexible load according to the response result of the bottom electric element; and updating the power grid model data of the power grid simulation platform.
8. The regulation and control simulation method of claim 7, wherein in the steps 1 to 5, the power grid simulation platform simulates the power regulation of the unit according to an AGC control command issued by the dispatching automation master station system and the unit model, calculates the power flow and frequency of the power system according to the current power grid operation data, and updates the power grid model.
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| CN107942721A (en) * | 2017-10-30 | 2018-04-20 | 中国电力科学研究院有限公司 | A kind of emulation mode and system of supporting scheduling system to verify |
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| CN112260322B (en) * | 2020-10-10 | 2022-12-30 | 中国电力科学研究院有限公司 | Source network load storage simulation platform, method and system |
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| CN113328474B (en) * | 2021-06-30 | 2022-06-17 | 南方电网科学研究院有限责任公司 | New energy AGC substation test system, method, equipment and medium |
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