CN109301878B - Distributed power source consistency control method and control system based on multiple intelligent agents - Google Patents
Distributed power source consistency control method and control system based on multiple intelligent agents Download PDFInfo
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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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
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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
- H02J3/26—Arrangements for eliminating or reducing asymmetry in polyphase networks
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/50—Arrangements for eliminating or reducing asymmetry in polyphase networks
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Abstract
The invention discloses a distributed power supply consistency control method and a control system based on multiple intelligent agents, which relate to the technical field of micro-grid operation control and comprise the following steps: WAMS collects real-time data information of the current micro-grid; carrying out data analysis and data processing on the acquired information; determining whether the current micro-grid system is power deficient or power superfluous; and dynamically adjusting each power supply and monitoring key parameters of the current power grid. The distributed power supply consistency control system based on the multiple intelligent agents for the distributed power supply consistency control method based on the multiple intelligent agents comprises a supervision intelligent agent, a communication intelligent agent, a distributed power supply intelligent agent, an energy storage intelligent agent and a load adjustment intelligent agent. The invention has simple operation when processing faults, and can realize the function of active self-healing and automatic adjustment of the distributed power network under multiple faults.
Description
Technical Field
The invention relates to the technical field of micro-grid operation control, in particular to a distributed power supply consistency control method and system based on multiple intelligent agents.
Background
With the gradual exhaustion of traditional energy and continuous destruction of ecological environment, sustainable utilization of energy is sought to become a new hot spot subject in various fields, and intelligent micro-grids in power systems are rapidly developed in the background. Because the distributed power supply is characterized by small capacity and poor anti-interference capability, when the system is interfered, the stability maintenance capability is weak; the voltage level is low, the system impedance is small, and the voltage fluctuation is severe when the load changes and small-scale faults occur; the randomness is strong, the reliability is poor, and sometimes a regulation dead zone exists. When a large number of distributed power sources are connected to a traditional power grid, a series of problems are brought to the planning, control and protection of the whole power grid.
The primary key factor affecting the grid-connected power supply of the distributed power source is the influence on the stability of the power grid. Stability of a power system refers to the ability of a power system in a given initial state to regain balance after being subjected to a certain disturbance/disturbances. Under the condition of a large number of distributed power supplies being connected, the overall inertia of the system is reduced, and the influence caused by single/multiple faults is more serious than that of the traditional power grid; because distributed power supplies supply power to loads through a power distribution network mostly, the influence of the distributed power supplies connected through an inverter is more needed to be considered. In order to solve the problem, considering that the distributed power supply has the characteristics of distribution, autonomy, limited controllability and the like, the system is very similar to a multi-agent system, and many researchers take the multi-agent system as an important means for solving the grid connection of the distributed power supply. However, the current research is mainly focused on a certain power supply and receiving part of the power grid, key indexes such as voltage, frequency and power angle in the wide-area power grid are not uniformly considered, and the inconsistency can accumulate excessive energy in the system, and finally cause the system to oscillate and diverge until instability. The occurrence of multiple start-stop accidents at home and abroad also shows that the breakdown of the power grid is often not caused by a single original and a certain local fault, but is caused by decision errors and chain reactions in the disturbance process of the system.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a distributed power supply consistency control method and a control system based on multiple intelligent agents, adopts the overall control thought to comprehensively consider the mutual influence among various stabilizing factors of a power grid, establishes a consistency evaluation system of key indexes of wide-area power grid voltage, frequency and power angle and a corresponding control system, and realizes the functions of active self-healing and automatic adjustment of a distributed power supply network under multiple faults.
The technical scheme adopted by the invention is as follows:
a distributed power supply consistency control method based on multiple intelligent agents is used for consistency control of power angles, voltages and frequencies of micro-grids, and is characterized by comprising the following steps:
s1, WAMS acquires real-time data information of a current micro-grid;
s2, carrying out data analysis and data processing on the acquired information, and calculating the consistency degree and the power unbalance degree in the system;
s3, determining whether the current micro-grid system is power shortage or power surplus;
s4, dynamically adjusting each power supply, and monitoring key parameters of the current power grid;
and S5, when the key parameter is reduced to a reasonable interval, the consistency control of the voltage, the frequency and the power angle of the micro-grid is realized.
In the preferred scheme, for different fault states, different consistency algorithms are adopted to calculate the consistency degree of the system, and the method is mainly divided into: the three kinds of supervised consistency algorithms, unsupervised consistency algorithms and consistency algorithms of topological transformation when serious faults are considered are as follows:
under the conventional fault, the supervision intelligent agent positioned on the PCC can work normally, the communication is kept good, and at the moment, the supervised consistency overdue algorithm is as follows:
in an unconventional fault state, the fault point is close to the PCC or causes the supervised communication to be unsmooth, and the unsupervised consistency overdetermined algorithm is as follows:
in a severe fault emergency state, the consistency overdue algorithm taking into account the system topology transformation is as follows:
note that: in gamma i Characterizing the critical information overstep of the ith distributed power supply; gamma ray n Is the rated value of the current key information; m is M i Characterizing the total number of distributed power sources of the system; y is ij Characterizing a communication topology between distributed power sources in a system; x is x i Characterizing key information of an ith distributed power supply; z i Characterizing the communication condition of a distributed power supply and PCC where a supervision intelligent agent is located in a system; y' ij And after the topology transformation of the system is characterized, the communication topology between the distributed power supplies is represented.
In the preferred scheme, the consistent oversaturation is the oversaturation among the three of the power angle, the voltage and the frequency of the micro-grid, characterizing severity in the current grid fault condition.
In a preferred scheme, the system power unbalance degree is characterized by the unbalance degree alpha of the system active circulation and the unbalance degree beta of the system reactive circulation, and the specific algorithm is as follows:
note that: x, R respectively representing system line impedance parameters; e (E) 1 ′、E 2 ' characterizing the voltages at the two ends of the PCC node of the system, θ respectively 1 、θ 2 And respectively representing voltage power angles at two ends of the PCC node of the system.
In the preferred scheme, a distributed power source consistency control system based on multiple intelligent agents is adopted for automatically and dynamically adjusting each power source during adjustment, and key parameters of a current power grid are monitored.
In a preferred scheme, the distributed power consistency control system based on multiple intelligent agents comprises a supervision intelligent agent, a communication intelligent agent, a distributed power intelligent agent, an energy storage intelligent agent and a load adjustment intelligent agent;
the monitoring agent is connected with a PMU measurement module in the intelligent power grid and is responsible for collecting and processing data;
the communication intelligent body is connected with the supervision intelligent body and is responsible for communication and calculation of the whole system;
the distributed power supply intelligent body is connected with the communication intelligent body, receives related shared information of the communication intelligent body, and realizes effective recovery and fault stability control of voltage, frequency and power angle based on the sagging characteristic of each distributed device;
the energy storage intelligent body and the load adjustment intelligent body are connected with the communication intelligent body, so that reasonable and effective adjustment of the micro-grid at the power end and the load end is realized, and the maintenance system operates stably.
In the preferred scheme, when the system is in a fault state, the supervision intelligent agent collects information of the public coupling nodes and part of key nodes of the micro-grid, identifies fault types, calculates relevant control parameters, and sends calculation results to the communication intelligent agent, the energy storage intelligent agent and the load adjustment intelligent agent.
In the preferred scheme, the communication agent receives fault characteristic information issued by the supervision agent, selects a corresponding consistency control algorithm on the basis, calculates the consistency degree and the power unbalance degree in the system, and shares the calculation result with other agents.
The distributed power consistency control system based on multiple intelligent agents comprises a supervision intelligent agent, a communication intelligent agent, a distributed power intelligent agent, an energy storage intelligent agent and a load adjustment intelligent agent;
the monitoring agent is connected with a PMU measurement module in the intelligent power grid, the communication agent is connected with the monitoring agent, the distributed power source agent is connected with the communication agent, and the energy storage agent and the load adjustment agent are connected with the communication agent.
In the preferred scheme, when the system is in a fault state, the supervision intelligent agent collects key node information, identifies the fault type, calculates related control parameters, and sends calculation results to the communication intelligent agent, the energy storage intelligent agent and the load adjustment intelligent agent;
the communication intelligent agent receives fault characteristic information issued by the supervision intelligent agent, calculates the fault characteristic information and shares the calculation result with other intelligent agents;
the distributed power supply intelligent body receives the related shared information of the communication intelligent body, and realizes effective recovery and fault stability control of voltage, frequency and power angle;
the energy storage intelligent agent and the load adjustment intelligent agent reasonably and effectively adjust the power end and the load end of the micro-grid according to the received related shared information of the communication intelligent agent, and the maintenance system operates stably.
The invention provides a distributed power supply consistency control method and a control system based on multiple intelligent agents, which comprehensively consider the mutual influence among various stabilizing factors of a power grid by adopting an overall control thought, establish a consistency evaluation system of key indexes of wide-area power grid voltage, frequency and power angle and a corresponding control system, and realize the functions of active self-healing and automatic adjustment of a distributed power supply network under multiple faults.
Drawings
The invention is further illustrated by the following examples in conjunction with the accompanying drawings:
fig. 1 is a general flow chart of the present invention.
FIG. 2 is a block diagram of the large data storage platform of the power grid in the present invention.
Fig. 3 is a system diagram of the present invention.
Fig. 4 is a method for locally cutting fault points in fault, and the power angle of the micro-grid cannot be kept stable in transient state.
Fig. 5 shows that the micro-grid power angle gradually becomes stable under the adjustment of the relevant intelligent agent by adopting the method and the system of the invention in the fault.
In the figure: the system comprises a PMU module 1, a supervision intelligent agent 2, a communication intelligent agent 3, a distributed power intelligent agent 4, a load adjustment intelligent agent 5 and an energy storage intelligent agent 6.
Detailed Description
A distributed power supply consistency control method based on multiple intelligent agents is used for consistency control of power angles, voltages and frequencies of micro-grids, and is characterized by comprising the following steps:
s1, WAMS acquires real-time data information of a current micro-grid;
s2, carrying out data analysis and data processing on the acquired information, and calculating the consistency degree and the power unbalance degree in the system;
s3, determining whether the current micro-grid system is power shortage or power surplus;
s4, dynamically adjusting each power supply, and monitoring key parameters of the current power grid;
and S5, when the key parameter is reduced to a reasonable interval, the consistency control of the voltage, the frequency and the power angle of the micro-grid is realized.
In the preferred scheme, for different fault states, different consistency algorithms are adopted to calculate the consistency degree of the system, and the method is mainly divided into: the three kinds of supervised consistency algorithms, unsupervised consistency algorithms and consistency algorithms of topological transformation when serious faults are considered are as follows:
under the conventional fault, the supervision intelligent agent positioned on the PCC can work normally, the communication is kept good, and at the moment, the supervised consistency overdue algorithm is as follows:
in an unconventional fault state, the fault point is close to the PCC or causes the supervised communication to be unsmooth, and the unsupervised consistency overdetermined algorithm is as follows:
in a severe fault emergency state, the consistency overdue algorithm taking into account the system topology transformation is as follows:
note that: in gamma i Characterizing the critical information overstep of the ith distributed power supply; gamma ray n Is the rated value of the current key information; m is M i Characterizing the total number of distributed power sources of the system; y is ij Characterizing a communication topology between distributed power sources in a system; x is x i Characterizing key information of an ith distributed power supply; z i Characterizing the communication condition of a distributed power supply and PCC where a supervision intelligent agent is located in a system; y' ij And after the topology transformation of the system is characterized, the communication topology between the distributed power supplies is represented.
In the preferred scheme, the consistent oversaturation is the oversaturation among the three of the power angle, the voltage and the frequency of the micro-grid, characterizing severity in the current grid fault condition.
In a preferred scheme, the system power unbalance degree is characterized by the unbalance degree alpha of the system active circulation and the unbalance degree beta of the system reactive circulation, and the specific algorithm is as follows:
note that: x, R respectively representing system line impedance parameters; e (E) 1 ′、E 2 ' characterizing the voltages at the two ends of the PCC node of the system, θ respectively 1 、θ 2 And respectively representing voltage power angles at two ends of the PCC node of the system.
In the preferred scheme, a distributed power source consistency control system based on multiple intelligent agents is adopted for automatically and dynamically adjusting each power source during adjustment, and key parameters of a current power grid are monitored.
In a preferred scheme, the multi-agent-based distributed power source consistency control system comprises a supervision agent 2, a communication agent 3, a distributed power source agent 4, an energy storage agent 5 and a load adjustment agent 6;
the monitoring agent 2 is connected with a PMU measurement module 1 in the intelligent power grid, and the monitoring agent 2 is responsible for collecting and processing data;
the communication intelligent agent 3 is connected with the supervision intelligent agent 2, and the communication intelligent agent 3 is responsible for the communication and calculation of the whole system;
the distributed power supply intelligent body 4 is connected with the communication intelligent body 3, the distributed power supply intelligent body 4 receives relevant shared information of the communication intelligent body 3, and effective recovery and fault stability control of voltage, frequency and power angle are realized based on the sagging characteristic of each distributed device;
the energy storage intelligent body 5 and the load adjustment intelligent body 6 are connected with the communication intelligent body 3, so that reasonable and effective adjustment of the micro-grid at the power end and the load end is realized, and the maintenance system operates stably.
In a preferred scheme, in the system fault state, the supervision intelligent body 2 collects information of the public coupling nodes and part of key nodes of the micro-grid, identifies the fault type, calculates related control parameters, and sends calculation results to the communication intelligent body 3, the energy storage intelligent body 5 and the load adjustment intelligent body 6.
In the preferred scheme, the communication agent 3 receives the fault characteristic information issued by the supervision agent 2, selects a corresponding consistency control algorithm on the basis of the fault characteristic information, calculates the consistency degree and the power imbalance degree in the system, and shares the calculation result with other agents.
The distributed power consistency control system based on multiple intelligent agents comprises a supervision intelligent agent 2, a communication intelligent agent 3, a distributed power intelligent agent 4, an energy storage intelligent agent 5 and a load adjustment intelligent agent 6;
the monitoring agent 2 is connected with the PMU measurement module 1 in the intelligent power grid, the communication agent 3 is connected with the monitoring agent 2, the distributed power source agent 4 is connected with the communication agent 3, and the energy storage agent 5 and the load adjustment agent 6 are connected with the communication agent 3.
In the preferred scheme, in the system fault state, the supervision intelligent body 2 collects key node information, identifies the fault type, calculates related control parameters, and sends calculation results to the communication intelligent body 3, the energy storage intelligent body 5 and the load adjustment intelligent body 6;
the communication intelligent agent 3 receives the fault characteristic information issued by the supervision intelligent agent 2, calculates the fault characteristic information and shares the calculation result with other intelligent agents;
the distributed power supply intelligent body 4 receives the related shared information of the communication intelligent body 3, and realizes effective recovery and fault stability control of voltage, frequency and power angle;
the energy storage intelligent agent 5 and the load adjustment intelligent agent 6 reasonably and effectively adjust the power end and the load end of the micro-grid according to the received relevant shared information of the communication intelligent agent, and maintain the stable operation of the system.
Examples:
the supervision intelligent agent is a core decision part of the whole system and is composed of a data processing module, a feature extraction module, a coordination decision module and the like, and is mainly responsible for acquisition of power grid information, monitoring of running states and formulation and implementation of a consistency control algorithm under a system fault state;
the monitoring agent is mainly responsible for calculation and communication of a system, collects information of public coupling nodes and part of key nodes of a micro-grid under the fault state of the system, identifies the fault type, calculates related control parameters, sends calculation results to the communication agent, the energy storage agent and the load adjustment agent, realizes interaction and sharing of key information among the agents under a sparse communication structure through the communication agent, meanwhile, the communication agent is connected with the monitoring agent, receives fault characteristic information issued by the monitoring agent, selects a corresponding consistency control algorithm on the basis, calculates the common excess degree of voltage, frequency and power angle in the system, and shares the calculation results with other agents;
the distributed power supply intelligent agent reasonably droop characteristics of each distributed device according to the unbalance degree of the current system power, and gives out consistency control feedback quantity of voltage, frequency and power angle;
the energy storage intelligent body mainly realizes that the micro-grid absorbs and stores energy when the power is excessive; the energy is effectively released when the system power is deficient or fails, the inertia of the system is increased, and the stable operation of the system is maintained; the load adjusting intelligent body reasonably adjusts the load in a certain range, so that the optimal operation of the micro-grid system is realized, the load is intelligently removed under emergency conditions, and the stable operation of the whole system is ensured.
As shown in fig. 4, when multiple faults occur in the system, if a method of locally cutting fault points is adopted, the micro-grid cannot keep transient stability; as shown in fig. 5, when multiple faults occur in the system, the micro-grid gradually becomes stable under the adjustment of the relevant intelligent agents by adopting the consistency control method and the system.
Claims (2)
1. A distributed power supply consistency control method based on multiple intelligent agents is used for consistency control of power angles, voltages and frequencies of micro-grids, and is characterized by comprising the following steps:
s1, WAMS acquires real-time data information of a current micro-grid;
s2, carrying out data analysis and data processing on the acquired information, and calculating the consistency degree and the system power unbalance degree in the system;
s3, determining whether the current micro-grid system is power shortage or power surplus;
s4, dynamically adjusting each power supply, and monitoring key parameters of the current power grid;
s5, when the key parameters are reduced to a reasonable interval, the consistency control of the voltage, the frequency and the power angle of the micro-grid is realized;
for different fault states, adopting different consistency algorithms to calculate the consistency degree of the system, and dividing the system into: the three kinds of supervised consistency algorithms, unsupervised consistency algorithms and consistency algorithms of topological transformation when serious faults are considered are as follows:
under the conventional fault, the supervision intelligent agent positioned on the PCC works normally, the communication is kept good, and at the moment, the supervised consistency overdue algorithm is as follows:
in an unconventional fault state, the fault point is close to the PCC or causes the supervised communication to be unsmooth, and the unsupervised consistency overdetermined algorithm is as follows:
in a severe fault emergency state, the consistency overdue algorithm taking into account the system topology transformation is as follows:
note that: in gamma i Characterizing the critical information overstep of the ith distributed power supply; gamma ray n Is the rated value of the current key information; m is M i Characterizing the total number of distributed power sources of the system; y is ij Characterizing a communication topology between distributed power sources in a system; x is x i Characterizing key information of an ith distributed power supply; z i Characterizing the communication condition of a distributed power supply and PCC where a supervision intelligent agent is located in a system; y' ij After the topology conversion of the system is represented, the communication topology between the distributed power supplies is represented;
the system power unbalance degree is characterized by unbalance degree alpha of the system active circulation and unbalance degree beta of the system reactive circulation, and the specific algorithm is as follows:
note that: x, R respectively representing system line impedance parameters; e's' 1 、E′ 2 Respectively representing voltages at two ends of PCC node of system, theta 1 、θ 2 And respectively representing voltage power angles at two ends of the PCC node of the system.
2. The multi-agent-based distributed power source consistency control method as claimed in claim 1, wherein: the consistency degree is the micro-grid power angle the common degree of percolation between the voltage and the frequency, characterizing severity in the current grid fault condition.
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| CN110196554B (en) * | 2019-05-27 | 2022-02-18 | 重庆邮电大学 | Safety consistency control method of multi-agent system |
| CN110412417B (en) * | 2019-07-15 | 2021-07-06 | 中国人民解放军陆军工程大学 | Micro-grid data fault diagnosis method based on intelligent power monitoring instrument |
| CN113391550B (en) * | 2021-05-19 | 2022-08-30 | 山东大学 | Multi-agent energy storage battery consistency control method and system |
| CN113241794B (en) * | 2021-05-28 | 2022-08-26 | 合肥工业大学 | Island micro-grid self-adaptive control method based on multiple intelligent agents |
| CN113467398B (en) * | 2021-07-06 | 2022-04-08 | 山东大学 | Distributed control method and system of comprehensive energy system based on consistency algorithm |
| CN114066071A (en) * | 2021-11-19 | 2022-02-18 | 厦门大学 | Power parameter optimization method based on energy consumption, terminal equipment and storage medium |
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