CN114172161A

CN114172161A - Multi-terminal cooperative voltage management method, system and storage medium for high-permeability photovoltaic-accessed power distribution network

Info

Publication number: CN114172161A
Application number: CN202111418565.8A
Authority: CN
Inventors: 岳东; 窦春霞; 丁孝华; 李群; 郭王勇; 罗剑波; 张智俊; 张占强; 赵景涛; 杨毅; 李延满; 杜红卫; 赵昕; 汪鹤
Original assignee: Nanjing University of Posts and Telecommunications; Electric Power Research Institute of State Grid Jiangsu Electric Power Co Ltd; State Grid Electric Power Research Institute
Current assignee: Nanjing University of Posts and Telecommunications; Electric Power Research Institute of State Grid Jiangsu Electric Power Co Ltd; State Grid Electric Power Research Institute
Priority date: 2021-11-26
Filing date: 2021-11-26
Publication date: 2022-03-11
Anticipated expiration: 2041-11-26
Also published as: WO2023093537A1; CN114172161B

Abstract

The invention discloses a method, a system and a storage medium for multi-terminal coordinated voltage treatment of a high-permeability photovoltaic-accessed power distribution network, wherein in the method, when time-interval and systematic over/under voltage occurs, a centralized intelligent coordinated voltage regulation method is adopted, and the method comprises the steps of network-terminal transformer gear switching, distributed power supply multifunctional grid-connected inverter Q/P regulation, distributed energy storage inverter Q/P regulation and load-terminal reactive compensator SVC; when intermittent local over/under voltage occurs, a terminal multi-agent distributed cooperative voltage regulation method is adopted, and distributed cooperative compensation is performed on the local node voltage by using a distributed cooperative voltage regulation algorithm of a distributed power supply multifunctional grid-connected inverter, a distributed energy storage inverter and a load end reactive compensator SVC of local and adjacent nodes. The multi-terminal cooperative voltage treatment method and the system for the power distribution network realize systematic treatment on the problems of full networking and decentralized voltage.

Description

Multi-terminal cooperative voltage management method, system and storage medium for high-permeability photovoltaic-accessed power distribution network

Technical Field

The invention belongs to the technical field of voltage treatment of power distribution networks, and particularly relates to a method and a system for multi-terminal cooperative voltage treatment of a high-permeability photovoltaic-accessed power distribution network.

Background

Under the drive of a double-carbon target, construction requirements of the whole county photovoltaic are brought, and under the requirement that the whole county photovoltaic is connected to the power system, the time-interval overvoltage problem of the whole feeder line of a light-load power distribution network in rural areas, mountain areas and the like is caused, and correspondingly, the time-interval undervoltage problem occurs in urban heavy-load power distribution networks such as heavy industrial production and the like. In the existing stage, a distributed voltage treatment means is mainly adopted for the power distribution network, namely voltage treatment equipment is deployed where a key pollution source is, so that the voltage problem is solved on the spot, however, the distributed voltage treatment mode not only needs the configuration of treatment equipment with large quantity and large capacity, but also has high cost, and is difficult to realize the cooperative operation of different voltage treatment equipment, and the treatment efficiency is not high. Considering that besides a certain number of special voltage treatment devices are configured in a power distribution network, a large number of multifunctional grid-connected inverters such as distributed power sources and energy storage and network-side transformers exist, how to establish a one-to-one matching relation between diversified treatment devices and whole-networked and decentralized key voltage pollution sources in spatial positions, treatment functions and adjustable capacity, and how to realize comprehensive treatment on whole-networked and decentralized voltage problems by intelligent matching and collaborative adjustment of the diversified treatment devices, so that safe and reliable operation of high-permeability photovoltaic access to the power distribution network is effectively guaranteed, and the problem to be solved is solved.

Disclosure of Invention

The technical problem to be solved by the invention is as follows: aiming at the ubiquitous time interval and intermittent voltage out-of-limit problem in a power distribution network with high-permeability photovoltaic access, the traditional voltage regulating equipment is difficult to realize the cooperative management of the whole networked and decentralized key voltage pollution sources, and how to solve the voltage out-of-limit problem of the power distribution network by using the intelligent matching and cooperative regulation of the source network load storage multi-terminal voltage management equipment.

In order to solve the technical problem, the invention provides a power grid multi-terminal cooperative voltage treatment method, which comprises the following steps:

a centralized intelligent coordination voltage regulating device, namely a secondary intelligent agent, is deployed on the PCC bus;

a distributed cooperative intelligent terminal device, namely a primary intelligent agent, is deployed on each adjustable bus node of each feeder line;

carrying out information interaction among the agents;

the distributed cooperative intelligent agent device evaluates the local bus voltage, namely, each acquired bus voltage is compared with an upper voltage limit threshold and a lower voltage limit threshold, when the bus voltage is judged to have time-interval and systematic over/under voltage, a master-slave interaction mode is started among intelligent agents of different levels, namely, when a secondary intelligent agent receives a primary intelligent agent voltage regulation request, whether the primary intelligent agent responds to the voltage regulation request or not is determined according to the out-of-limit condition of the primary intelligent bus voltage, and when the primary intelligent agent receives a secondary intelligent agent power regulation instruction, the primary intelligent agent must respond; when intermittent local over/under voltage of the bus voltage is judged, a peer-to-peer interaction mode is adopted among the multi-agents at the same layer, and when the multi-agents at the same layer receive voltage regulation requests of other multi-agents at the same layer, whether the multi-agents respond to the voltage regulation requests is determined according to the self residual power compensation capacity.

A multi-terminal coordinated voltage treatment system for a power distribution network comprises:

a centralized intelligent coordination voltage regulating device, namely a secondary intelligent agent, deployed on a PCC (Point of Common Coupling) bus of a transformer;

a distributed cooperative intelligent terminal device, namely a primary intelligent agent, which is deployed on each adjustable bus node of each feeder line;

information interaction is carried out among all intelligent agents, a master-slave interaction mode is adopted among the intelligent agents of different levels, namely when a secondary intelligent agent receives a primary intelligent agent voltage regulation request, whether the voltage regulation request is responded is determined according to the out-of-limit condition of the primary intelligent bus voltage, and when the primary intelligent agent receives a secondary intelligent agent power regulation instruction, the primary intelligent agent must respond; a peer-to-peer interaction mode is adopted among the multi-agents at the same layer, and when one-level agents receive voltage regulation requests of other one-level agents, whether the voltage regulation requests are responded is determined according to the self residual power compensation capacity.

A computer readable storage medium is used for storing the high-permeability photovoltaic access power distribution network multi-terminal cooperative voltage governing method.

The invention achieves the following beneficial effects: based on the control framework of centralized coordination interaction between the secondary intelligent agents and the primary intelligent agents and distributed coordination interaction between the primary intelligent agents, the source network charge-storage multi-end voltage control equipment with different response times and different control modes can flexibly coordinate and systematically coordinate, and the voltage control capability of the source network charge-storage multi-end of the power distribution network is exploited to the maximum extent. Aiming at the problem of voltage out-of-limit of full networking and decentralization in a power distribution network accessed by high-permeability photovoltaic, the invention provides a centralized coordination and distributed coordination power distribution network voltage comprehensive treatment method based on network-end transformer gear switching, distributed power supply multifunctional grid-connected inverter reactive/active Q/P regulation, distributed energy storage inverter Q/P regulation and load end SVC (static var compensator) arrangement.

Drawings

FIG. 1 is a flowchart of a centralized coordination voltage regulation algorithm for a centralized coordination intelligent agent device according to an embodiment of the present invention;

fig. 2 is a flowchart of a distributed cooperative voltage regulation algorithm of a distributed cooperative intelligent terminal according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of a multi-agent based hierarchical voltage regulation architecture provided by an embodiment of the present invention;

FIG. 4 is a block diagram of a centralized coordination agent apparatus according to an embodiment of the present invention;

fig. 5 is a block diagram of a distributed cooperative agent apparatus according to an embodiment of the present invention.

Detailed Description

The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.

Example 1

Aiming at the problems of time-interval and systematic over/under voltage, the embodiment provides a method for managing the multi-terminal coordinated voltage of a high-permeability photovoltaic-accessed power grid, which comprises the steps of switching the gears of a transformer at the grid terminal, adjusting the reactive/active Q/P of a multifunctional grid-connected inverter of a distributed power supply, adjusting the Q/P of a distributed energy storage inverter, and arranging a reactive compensator SVC at a load terminal.

The embodiment of the invention provides a high-permeability photovoltaic access power distribution network multi-terminal cooperative voltage treatment method, which specifically comprises the following steps:

step one, each distributed collaborative agent device respectively collects voltage information of a local bus node, respectively calculates a corresponding voltage per unit value according to respective nominal voltage, and sends the voltage per unit value to a centralized coordination agent device as shown in formula (1); the distributed cooperative agent device is a primary agent, and the centralized cooperative agent device is a secondary agent;

the distributed cooperative intelligent device judges whether the voltage of the local bus node is out of limit or not according to a set voltage safety threshold, wherein the safety threshold can be 0.95 and 1.05, namely, the voltage is lower than 0.95 and is under-voltage and the voltage is over-voltage greater than 1.05, and if the voltage is out of limit, a voltage regulating request is sent to the centralized cooperative intelligent device;

in the formula: v_i(t) is the voltage at the ith bus node on the same feeder; v_pui(t) is the voltage per unit value of the ith bus bar node; v_niIs the nominal voltage of the ith bus node, and the superscript "-1" indicates the reciprocal;

based on the received voltage information of each bus node on the feeder line, the centralized coordination agent device calculates the average per unit value of all the feeder line bus node voltages under the transformer, as shown in formula (2), and judges whether the average per unit value exceeds the set threshold range of each feeder line, wherein the set threshold range of the feeder line can be 0.95-1.05, and if the average per unit value does not exceed the set threshold range of the feeder line, the tap of the transformer is kept at the current gear; if a certain feeder line exceeds the feeder line set threshold range, preferentially triggering and switching a feeder line transformer tap to the next gear under the condition that the transformer switching interval time is allowed, specifically:

when the average per unit value is more than 1.05, lifting the tap by one gear;

when the average voltage is less than 0.95, the tap is lowered by one gear;

when the average per unit value is adjusted to be within the range of 0.95-1.05 by the transformer, the adjustment of the tap gear can be finished;

in the formula (I), the compound is shown in the specification,

the voltage of all bus nodes on the same feeder line is an average per unit value, N is the number of the bus nodes on the feeder line, and the superscript of "-1" represents the reciprocal of the reciprocal.

The method comprises the steps that voltage regulation is triggered by a transformer event, the average voltage level of all bus nodes under the transformer can be maintained in a safe area, when time-interval overvoltage or undervoltage exists in the next bus node or partial bus nodes under the same transformer, a centralized coordination voltage regulation method of firstly reactive power compensation and then active power compensation based on voltage sensitivity is adopted for voltage regulation, namely the centralized coordination intelligent body device compares the bus node voltages of all distributed coordination intelligent body devices, the voltage regulation request of the distributed coordination intelligent body device with the maximum voltage deviation is preferentially selected, the power regulation method of all bus nodes is determined by utilizing a centralized coordination voltage regulation algorithm, and a control command is sent to the corresponding distributed coordination intelligent body device.

As shown in fig. 1, the centralized coordination voltage regulation algorithm specifically includes the following steps:

1) all distributed cooperative intelligent body devices acquire local bus node injection power information, calculate local power compensation equipment capacity information, and send the local power compensation equipment capacity information to the centralized cooperative intelligent body device if the local power compensation equipment capacity information has residual adjustable capacity, wherein the power compensation equipment capacity information comprises the maximum reactive compensation capacity of an inverter and the maximum charging and discharging capacity of energy storage equipment;

2) bus nodes are numbered in sequence on any feeder branch under the transformer according to the load flow reverse direction, and in the centralized coordination intelligent device, the reactive-voltage sensitivity between the j-th bus node injection power and the ith bus node voltage is calculated according to the known radial network topology, the feeder impedance and the feeder load flow direction information

And active-voltage sensitivity

In the formula, X_h-1,hIs the feeder inductance, R, between the h-1 th and h-th bus nodes_h-1,hIs the feeder resistance between the h-1 th bus node and the h-th bus node, the superscript "-1" indicates the reciprocal is solved,

means all;

3) assuming that the ith bus node corresponding to the distributed cooperative intelligent body device is a main voltage regulation intelligent body, by utilizing the voltage regulation amplitude value and the voltage sensitivity of the bus node and the power compensation capacity information of each distributed cooperative intelligent body device on the same feeder line, each distributed cooperative intelligent body device sequentially carries out reactive compensation according to the sequence of the reactive power-voltage sensitivity from large to small, and the calculation is as shown in formula (5):

in the formula: delta V_i(t) is the residual voltage regulation amplitude, Δ Q, of the ith bus node_j(t) is a reactive compensation value of the jth bus node, and the superscript "-1" indicates that the reciprocal is solved;

if the value of reactive compensation is delta Q_j(t) if the residual reactive compensation capacity of the inverter is less than the jth bus node, the reactive compensation of the distributed cooperative intelligent device located at the jth bus node is enough to regulate the voltage of the bus node of the main voltage regulating intelligent body to a safe area, at the moment, the voltage of the bus node of the main voltage regulating intelligent body is not less than 0.95 and not more than 1.05, so that further reactive compensation is not required to be carried out, and the voltage regulation of the main voltage regulating intelligent body is finished;

if the value of reactive compensation is delta Q_j(t) if the residual reactive compensation capacity of the inverter is greater than the jth bus node, it indicates that the maximum reactive compensation of the distributed cooperative intelligent device located at the jth bus node is not enough to regulate the voltage of the bus node of the main voltage regulating intelligent body into the safety domain, and at this time, the voltage of the bus node of the main voltage regulating intelligent body is still less than 0.95 or greater than 1.05, and the reactive compensation of the next-stage intelligent body needs to be executed in the order of the reactive-voltage sensitivity from large to small;

4) when all the distributed cooperative intelligent body devices reach respective reactive compensation upper limits and the voltage out-of-limit problem still exists in the bus nodes of the main voltage regulation intelligent body, active compensation is sequentially carried out according to the sequence of active-voltage sensitivity from large to small, and the active compensation calculation of each distributed cooperative intelligent body device is as shown in a formula (6):

in the formula: delta P_j(t) is an active compensation value of the jth bus node, and the superscript "-1" indicates that the reciprocal is solved;

if the active compensation value is delta P_j(t) energy storage equipment residual active power compensation smaller than jth bus nodeThe capacity is compensated, that is, the active compensation of the distributed cooperative intelligent device at the jth bus node is enough to regulate the voltage of the bus node of the main voltage-regulating intelligent body to a safe area, at the moment, the voltage of the bus node of the main voltage-regulating intelligent body is not less than 0.95 and not more than 1.05, so that further active compensation is not required to be executed, and the voltage regulation of the main voltage-regulating intelligent body is finished;

if the active compensation value is delta P_j(t) the residual active compensation capacity of the energy storage equipment at the jth bus node is greater than that of the distributed cooperative intelligent body device at the jth bus node, which indicates that the maximum active compensation of the distributed cooperative intelligent body device at the jth bus node is not enough to regulate the bus node voltage of the main voltage regulating intelligent body to the safe domain, and at this time, the bus node voltage of the main voltage regulating intelligent body is still less than 0.95 or greater than 1.05, so that the active compensation of the next distributed cooperative intelligent body device needs to be executed according to the active-voltage sensitivity sequence until the bus node voltage of the main voltage regulating intelligent body is regulated to the safe domain.

5) After each power compensation, if the bus nodes of the main voltage-regulating intelligent bodies are regulated to a safe domain, the bus node voltages of all distributed cooperative intelligent body devices need to be updated synchronously, the voltage per unit values of all the bus nodes are compared to determine the maximum voltage deviation, if the maximum voltage deviation of all the bus nodes is less than or equal to a set value, if the maximum voltage deviation is less than or equal to 0.05, a new main voltage-regulating intelligent body does not need to be selected, and the voltage-regulating algorithm iteration is finished; if the deviation is larger than a set value, for example, 0.05, a new main voltage regulating intelligent agent needs to be selected again, and power compensation is executed; iterating one by one according to the steps 1) to 4) until the maximum voltage deviation of all bus nodes of the distributed cooperative intelligent agent device is less than or equal to a set value, such as 0.05, finishing the iteration of the voltage regulating algorithm, finally determining the control instruction of each power compensation device through the iteration process, and distributing the control instruction to the inverter for execution by the distributed cooperative intelligent agent;

due to the complex network transmission environment of the power distribution network, under the condition of time delay boundary crossing, the prediction power compensation method is triggered to ensure the efficient adjustment of overvoltage, and the prediction power compensation method based on the maximum tolerance time delay estimation is adopted, and the method specifically comprises the following steps:

when the communication network has no transmission delay, based on the power compensation request signal sent by the centralized coordination agent device, the power compensation executed by each distributed coordination agent device can match the voltage regulation requirement of the current system, namely, the voltage of the global system bus node can be restored to the safe area; when transmission delay exists in a communication network, any power fluctuation in the delay period can cause the voltage fluctuation of bus nodes of the distributed cooperative intelligent body device, so that the voltage regulation requirement of the system is changed, and if the distributed cooperative intelligent body device still executes a power compensation request issued by the centralized cooperative intelligent body device, the effective regulation of the bus node voltage of the whole domain system cannot be realized due to the mismatching between the distributed cooperative intelligent body device and the distributed cooperative intelligent body device.

If the power fluctuation during the time delay is small, the matching between the voltage regulation requirement and the power compensation request is high, the voltage regulation is still effective, the mismatch between the voltage regulation requirement and the power compensation request is reduced along with the gradual increase of the power fluctuation, and when the power fluctuation exceeds an allowable threshold value, the voltage regulation is forced to be ineffective. The effectiveness of system voltage regulation mainly depends on the power fluctuation during time delay, for a given power change rate, the power change amplitude is related to the transmission time delay, the power and voltage fluctuation is more obvious along with the increase of time delay, and when the power and voltage fluctuation exceeds a given threshold value, namely the maximum tolerant communication time delay, the system voltage regulation fails. Therefore, the effect of communication delay on the main voltage regulation agent, i.e. the ith bus node voltage regulation, can be expressed as:

wherein τ (t) is the communication network transmission delay;

is the maximum tolerated communication delay; v_p′_ui(t) is the voltage at the ith bus node under the influence of power fluctuations during time delay;

during the communication delay, in order to maintain the validity of the ith bus voltage regulation, the maximum allowable voltage under the power fluctuation is changed to a set threshold value, such as 0.05, and each of the calculation results is calculated based on equations (5) and (6)When the power fluctuation is smaller than a set threshold, the ith bus voltage change is smaller than the set threshold, such as 0.05; if the power change rate is kept unchanged during the time delay, the maximum tolerant communication time delay

The value is equal to the ratio of the maximum power fluctuation amplitude to the power change rate, otherwise, the maximum power change rate is selected to calculate the minimum upper limit of the maximum tolerant communication delay, namely the delay threshold, as shown in formula (8):

in the formula (I), the compound is shown in the specification,

is the maximum power rate of change of the jth bus node;

in the centralized voltage regulation process of the system, if the communication delay is smaller than the delay threshold in the formula (8), the distributed cooperative intelligent body device selects to execute a power compensation request issued by the centralized cooperative intelligent body device; if the communication time delay exceeds the time delay threshold, namely the distributed cooperative intelligent agent device is at the time delay threshold

If the power compensation request issued by the centralized coordination agent device cannot be received within the time range, activating a local prediction system, and satisfying the voltage regulation request of the current system by executing the predicted power compensation;

the predicted power compensation method comprises the following steps: according to the received or predicted power compensation request of the centralized coordination agent device, each distributed coordination agent device adjusts local power compensation equipment through a control execution module, and according to reactive compensation control instructions and active compensation control instructions, reactive/reactive control dynamic adjustment of equipment such as a local node inverter and an SVC is carried out by adopting a set control method, so that the bus voltage of the global system is restored to the safe area.

The implementation effect is as follows: the method is characterized in that the adjustment of the voltage of the whole line is realized based on the implementation of the tap gear switching control of the transformer, and further, a centralized coordination voltage regulation algorithm consisting of a distributed power supply, a distributed energy storage multifunctional grid-connected inverter and a load-side reactive compensator SVC is combined to perform multi-end coordination compensation on partial node voltages according to the sequence from reactive power to active power and from large to small in power-voltage sensitivity. Through the implementation of the technology, the source network load storage diversified adjustable resources can be coordinated and utilized in a centralized manner, and the problem of time-interval overvoltage or undervoltage of each feeder line bus node is solved systematically on the premise of ensuring the minimum reduction of active power.

The computer-readable storage medium is used for storing the high-permeability photovoltaic access power distribution network multi-terminal cooperative voltage governing method.

Example 2

If the problem of intermittent local over/under voltage of the bus voltage occurs, embodiment 2 of the invention provides a high-permeability photovoltaic access power grid multi-terminal cooperative voltage management method, which specifically comprises the following steps:

the distributed cooperative intelligent body device judges whether to execute a distributed cooperative voltage regulation algorithm according to the local bus voltage evaluation condition, when the voltage deviation is larger than a set threshold value, a multi-terminal power cooperative regulation method is determined by using power information from adjacent bus nodes, the power information of the adjacent bus nodes is sent to the corresponding bus node distributed cooperative intelligent body device, power regulation is carried out on respective compensation equipment, and the voltage of a local power distribution network system is maintained in a safe area.

The method comprises the steps that firstly, on the ith bus node, a distributed collaborative agent device collects voltage information and injection power information of a local bus node, calculates a voltage per unit value by adopting a formula (1), and sends collected information to an adjacent distributed collaborative agent device;

step two, the distributed cooperative intelligent agent device judges whether intermittent voltage out-of-limit occurs to a local bus node, if the intermittent voltage out-of-limit does not occur, namely the voltage is kept to be more than or equal to 0.95 and less than or equal to 1.05, a voltage regulating request does not need to be sent to the local bus node and other distributed cooperative intelligent agent devices; if the intermittent voltage exceeds the limit, namely the voltage is less than 0.95 or more than 1.05, sending a voltage regulation request to other distributed cooperative intelligent agent devices, and recording the voltage regulation request as an intelligent agent j;

when voltage regulation requests from a plurality of primary agents are received at the same time, the agent j judges whether the voltage regulation requests can be responded according to the residual reactive capacity of the local inverter and the residual capacity of the energy storage equipment, and if the power compensation capacity is not available, the agent j refuses to respond to the requests of all the agents; if the intelligent agent I has the power compensation capacity, selectively responding to the request of one intelligent agent by comparing all the intelligent agents sending the voltage regulation requests, if the voltage out-of-limit problem of the ith bus node is the most serious problem, preferentially responding to the request of the intelligent agent I, refusing to respond to the requests of other intelligent agents, and simultaneously sending the capacity of the local power compensation equipment and the j-th bus node injection power information to the intelligent agent I.

And step four, if the voltage regulation request of the agent i obtains the response from other agents, utilizing the voltage regulation amplitude of the ith local bus node and the received power regulation capacity information of other agents, adopting a distributed cooperative voltage regulation algorithm of first reactive power compensation and then active power compensation based on voltage sensitivity, sequentially iterating according to the sequence of first reactive power-voltage sensitivity from large to small and then the sequence of active power-voltage sensitivity from large to small, determining the control instruction of each power compensation device, and sending a power compensation request to the corresponding agent.

As shown in fig. 2, the distributed cooperative voltage regulation algorithm based on voltage sensitivity and reactive power compensation includes the following steps:

dynamically sensing whether the current direction on a feeder line on which the ith bus is positioned changes or not through the change of injection power of the local ith bus node and an adjacent bus node, if the current direction changes, all primary intelligent bodies on the corresponding feeder line can be matched with the numbers of the local bus nodes, knowing the radial network topology, the impedance of the feeder line and the current direction information of the feeder line, and refreshing and calculating the reactive-voltage sensitivity and the active-voltage sensitivity by adopting the formula (3) and the formula (4);

means all;

2) the method comprises the steps of taking an intelligent agent i as a main voltage regulation intelligent agent, keeping the intelligent agent unchanged in the iterative process of a voltage regulation algorithm, sequentially performing reactive compensation according to the sequence of the reactive compensation and the voltage sensitivity from large to small by utilizing the voltage regulation amplitude value of the ith bus node, the reactive-voltage sensitivity and the reactive compensation capacity information of inverters from each stage of the intelligent agent in response, preferentially selecting the inverter on the bus node corresponding to the maximum reactive-voltage sensitivity to perform reactive compensation, recording the bus node corresponding to the maximum reactive-voltage sensitivity as the jth bus node, and regulating the voltage amplitude value based on the ith bus node and the reactive-voltage sensitivity between the ith bus node and the jth bus node injection power

Inverter reactive power compensation delta Q for j-th bus node calculated by adopting formula (5)_j(t) and updating the residual voltage regulation amplitude of the ith bus node, namely

Substituted original delta V_i(t)；

if the inverter reactive compensation delta Q_j(t) is less than the reactive compensation capacity of the inverter on the jth bus node, which indicates that the reactive compensation of the primary agent on the jth bus is enough to regulate the voltage of the ith bus node to a safety domain which is more than or equal to 0.95 and less than or equal to 1.05, and the residual voltage regulation amplitude value delta V of the ith bus node is at the moment_i(t) is 0, so that no additional reactive compensation is needed, and the iteration of the voltage regulating algorithm is finished; if the inverter reactive compensation delta Q_j(t) is greater than the inverter reactive compensation capacity on the jth bus node, which means that under the maximum reactive compensation action of the first-stage intelligent agent on the jth bus, the voltage of the ith bus node is still not in the safety domain, namely less than 0.95 or greater than 1.05, and at this time, the residual voltage regulation amplitude value delta V of the ith bus node_i(t) > 0, and the reactive compensation of the next-stage intelligent agent is required to be executed according to the reactive-voltage sensitivity sequence;

3) when all related first-level agents reach respective reactive compensation upper limit and the ith bus node still has the voltage out-of-limit problem, the residual voltage regulation amplitude value, the active-voltage sensitivity and the active compensation capacity information of the energy storage equipment of each first-level agent from response of the ith bus node are reused, active compensation is sequentially carried out according to the sequence from large to small of the active-voltage sensitivity, the energy storage equipment on the bus node corresponding to the maximum active-voltage sensitivity is preferentially selected to carry out active compensation, the bus node corresponding to the maximum active-voltage sensitivity is recorded as the jth bus node, and the residual voltage regulation upper limit is based on the ith bus nodeAmplitude and active-voltage sensitivity with injected power at jth bus node

The active compensation delta P of the energy storage device is calculated by adopting the formula (6)_j(t) and updating the residual voltage regulation amplitude of the ith bus node, namely

Substituted original delta V_i(t)；

In the formula: delta P_j(t) is an active compensation value of the jth bus node, and the superscript "-1" indicates that the reciprocal is solved; if active compensation is delta P_j(t) is less than the active compensation capacity of the energy storage device on the jth bus node, which indicates that the active compensation of the primary intelligent body on the jth bus is enough to regulate the voltage of the ith bus node to a safety domain which is not less than 0.95 and not more than 1.05, and at the moment, the residual voltage regulation amplitude value delta V of the ith bus node_i(t) is 0, so that no additional active power compensation is needed, and the iteration of the voltage regulating algorithm is finished; if active compensation is delta P_j(t) is greater than the active compensation capacity of the energy storage device on the jth bus node, which means that under the maximum active compensation effect of the first-stage intelligent agent on the jth bus, the voltage of the ith bus node is still not in the safety domain, i.e. less than 0.95 or greater than 1.05, and at this time, the residual voltage regulation amplitude value delta V of the ith bus node_i(t) > 0, performing active compensation of the next-stage intelligent agent according to the active-voltage sensitivity sequence until the voltage of the ith bus node is regulated into a safety domain, finishing the iteration of the voltage regulation algorithm, and finally determining the control instruction of each power compensation device through the iteration process;

4) the intelligent agent i sends the reactive compensation control instruction and the active compensation control instruction to the first-stage intelligent agents which respond before and records as an intelligent agent j, each first-stage intelligent agent adjusts local power compensation equipment through a control execution module, and reactive/active power output adjustment of equipment such as local distributed photovoltaic equipment, an energy storage inverter equipment and a load SVC (static var compensator) is realized by adopting a set control method according to the reactive compensation control instruction and the active compensation control instruction, so that the voltage of the ith bus node is recovered to the safe area;

5) and (4) circulating the steps 1) and 4) so that intermittent voltage fluctuation of all bus nodes is recovered to the safe area.

The implementation effect is as follows: the distributed cooperative compensation is carried out on the voltage of the local node according to the sequence from reactive power to active power and from large to small in power-voltage sensitivity by utilizing the distributed cooperative voltage regulation algorithm of the distributed power supply multifunctional grid-connected inverter, the distributed energy storage inverter and the load end reactive compensator SVC of the local and adjacent nodes. Through the implementation of the technology, local and adjacent source charge storage flexible and adjustable resources can be fully utilized, and the problem of local intermittent overvoltage or undervoltage is efficiently solved on the premise of ensuring minimum reduction of active power.

As shown in fig. 3, the invention provides a high-permeability photovoltaic-accessed multi-terminal cooperative voltage management system for a power distribution network, which includes:

a centralized intelligent coordination voltage regulating device, namely a secondary intelligent agent, which is deployed on the PCC bus;

The secondary intelligent agent can acquire out-of-limit information and voltage regulation resource information of all bus voltages under the transformer, and make a centralized coordination voltage regulation decision so as to reasonably distribute voltage regulation tasks to each primary intelligent agent, and finally achieve the aim of multi-terminal coordination voltage comprehensive treatment.

As shown in fig. 4, the secondary agent 1 specifically includes a data processing module 2, a voltage evaluation module 3, a database module 4, a knowledge base module 5, a voltage regulation decision module 6, and a control execution module 7:

the data processing module 2 of the secondary intelligent agent 1 is responsible for receiving all bus information from the primary intelligent agent 8, including voltage, capacity, power regulation and the like, and converting the information into a processable intelligent agent language;

the voltage evaluation module 3 of the secondary intelligent agent 1 is responsible for judging all bus node information from the data processing module 2, evaluating all feeder bus voltage out-of-limit conditions and autonomously judging whether to trigger and start a centralized coordination voltage regulation algorithm;

the database module 4 of the secondary agent 1 is responsible for storing information from the data processing module 2 and providing data for the pressure regulating decision module 6;

the knowledge base module 5 of the secondary intelligent agent 1 is responsible for storing industry knowledge data from expert experience and providing basic data for the voltage regulation decision module 6 to make decisions and the voltage evaluation module 3 to carry out voltage out-of-limit evaluation;

the voltage regulation decision module 6 of the secondary intelligent agent 1 utilizes information from the data processing module 2, the database module 4 and the knowledge base module 5 to formulate reactive and active regulation instructions of a transformer tap joint regulation, such as a photovoltaic inverter, an energy storage inverter, an SVC (static var compensator) and the like of each bus node based on a centralized coordination voltage regulation algorithm, and the instructions are issued to the corresponding primary intelligent agent positioned at the bus nodes through the control execution module 7;

the control execution module 7 of the secondary intelligent agent 1 is responsible for issuing a reactive power or work regulation instruction formulated by the voltage regulation decision module to a corresponding bus node primary intelligent agent 8 positioned at a bus node;

the primary intelligent agent can sense the external environment and act on the external environment, and can quickly respond to the emergency in the external environment; based on the local node information and through the information interaction with the adjacent first-level intelligent agent, the intelligent bus dynamic regulation system has higher intelligence to cooperatively control the reactive/active dynamic regulation behaviors close to each bus node.

As shown in fig. 5, the primary agent 9 includes a reaction layer and a negotiation layer, the reaction layer includes a sensing module 10, a recognition module 11 and a control action execution module 12, and the negotiation layer includes a data interaction module 13, a knowledge base module 14 and a distributed cooperative decision module 15.

The sensing module 10 of the primary intelligent agent 9 is responsible for collecting information such as voltage, capacity and power regulation of all buses;

the recognition module 11 of the first-level agent 9 is responsible for converting the information from the sensing module 10 into processable agent language and sending the processable agent language to the distributed cooperative decision module 15 of the cooperative layer, and meanwhile, the recognition module can quickly recognize the emergency in the external environment and directly trigger the reaction layer control action execution module 12 to execute a corresponding emergency action instruction;

the control action execution module 12 of the primary agent 9 is responsible for issuing an instruction from the distributed cooperative decision module 15 of the cooperative layer and an emergency action instruction from the recognition module 11 of the reaction layer to the inverter 18;

the knowledge base module 14 of the primary agent 9 is responsible for storing industry knowledge from expert experience and data of the distributed cooperative decision module 15, and providing basic data for decision making of the distributed cooperative decision module 15, such as providing a voltage safety threshold: reference values of 0.95-1.05, etc.;

the distributed cooperative decision module 15 of the first-level agent 9 utilizes information from the identification module 11, the data interaction module 13 and the knowledge base module 14 to formulate reactive power or work regulation instructions such as each bus node photovoltaic inverter, energy storage inverter and SVC (static var compensator) based on a distributed cooperative voltage regulation algorithm, sends the instructions to the corresponding inverter through the control action execution module 12, and sends corresponding data to the data interaction module 13 for information interaction with the second-level agent 16 and other first-level agents 17;

the data interaction module 13 of the first-level agent 9 is responsible for receiving information from the second-level agent 16 and other first-level agents 17, and can send instruction information of the distributed cooperative decision module 15 to the second-level agent 16 and other first-level agents 17.

The multi-end cooperative voltage regulation system for the power distribution network supports and realizes information interaction among multiple intelligent agents and intelligent execution of an upper layer centralized cooperative type coordination voltage regulation algorithm and a lower layer distributed cooperative type intelligent voltage regulation algorithm.

A computer-readable storage medium is characterized by being used for storing the method and the system for managing the multi-terminal cooperative voltage of the high-permeability photovoltaic accessed power distribution network.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.

Claims

1. A multi-terminal cooperative voltage governing method for a high-permeability photovoltaic-accessed power distribution network is characterized by comprising the following steps:

the distributed cooperative intelligent agent device evaluates the local bus voltage, and when the bus voltage is judged to have periodic and systematic over/under voltage, a master-slave interaction mode is started among the intelligent agents at different levels, namely when the secondary intelligent agent receives a primary intelligent agent voltage regulation request, whether the primary intelligent agent responds to the voltage regulation request is determined according to the out-of-limit condition of the primary intelligent agent voltage, and when the primary intelligent agent receives a secondary intelligent agent power regulation instruction, the primary intelligent agent must respond; when intermittent local over/under voltage of the bus voltage is judged, a peer-to-peer interaction mode is adopted among the multi-agents at the same layer, and when the multi-agents at the same layer receive voltage regulation requests of other multi-agents at the same layer, whether the multi-agents respond to the voltage regulation requests is determined according to the self residual power compensation capacity.

2. The method for the multi-terminal cooperative voltage governance of the high-permeability photovoltaic-accessed power grid according to claim 1, wherein when the bus voltage is subjected to periodic and systematic over/under voltage, the voltage is regulated according to the following steps:

step one, each distributed collaborative agent device respectively collects voltage information of a local bus node, respectively calculates a corresponding voltage per unit value according to respective nominal voltage, and sends the voltage per unit value to a centralized collaborative agent device;

the distributed cooperative intelligent agent device judges whether the voltage of the local bus node is out of limit according to a set voltage safety threshold, and if the voltage is out of limit, a voltage regulating request is sent to the centralized cooperative intelligent agent device;

step three, the centralized coordination agent device calculates the average per unit value of all the feeder line bus node voltages under the transformer, judges whether the average per unit value exceeds the set threshold range of each feeder line, and if the average per unit value does not exceed the set threshold range of the feeder lines, the tap joint of the transformer is kept at the current gear; if a certain feeder line exceeds the feeder line set threshold range, the feeder line transformer tap is triggered to be switched to the next gear preferentially under the condition that the transformer switching interval time is allowed.

3. The method for the multi-terminal cooperative voltage governance of the high-permeability photovoltaic-accessed power grid according to claim 2, characterized in that:

when time-interval overvoltage or undervoltage exists in the next bus node or partial bus nodes of the same transformer, a centralized coordination voltage regulation method of firstly reactive power and then active power compensation based on voltage sensitivity is adopted for voltage regulation, namely the centralized coordination intelligent body device compares the bus node voltages of all distributed coordination intelligent body devices, the voltage regulation request of the distributed coordination intelligent body device with the maximum voltage deviation is preferentially selected, the power regulation method of all bus node is determined by utilizing a centralized coordination voltage regulation algorithm, and a control instruction is sent to the corresponding distributed coordination intelligent body device.

4. The method for power grid multi-terminal cooperative voltage regulation according to claim 3, wherein the centralized coordination voltage regulation algorithm specifically comprises the following steps:

And active-voltage sensitivity

In the formula, X_h-1,hIs the feeder inductance, R, between the h-1 th and h-th bus nodes_h-1,hIs the feeder resistance between the h-1 th and h-th bus nodes, V_niIs the nominal voltage of the ith bus node, the superscript "-1" indicates the reciprocal,

means all;

3) assuming that the ith bus node corresponds to the distributed cooperative intelligent body device as a main voltage regulation intelligent body, utilizing the voltage regulation amplitude value and the voltage sensitivity of the ith bus node and the power compensation capacity information of each distributed cooperative intelligent body device on the same feeder line, sequentially performing reactive compensation on each distributed cooperative intelligent body device according to the sequence of the reactive power-voltage sensitivity from large to small, wherein the reactive compensation calculation is as shown in a formula (5):

if the value of reactive compensation is delta Q_j(t) the residual reactive compensation capacity of the inverter which is smaller than the jth bus node indicates that the reactive compensation of the distributed cooperative intelligent body device positioned at the jth bus node is enough to regulate the voltage of the bus node of the main voltage regulating intelligent body into a safe domain, no further reactive compensation is required to be carried out, and the voltage regulation of the main voltage regulating intelligent body is finished;

if the value of reactive compensation is delta Q_j(t) the residual reactive compensation capacity of the inverter larger than the jth bus node indicates that the maximum reactive compensation of the distributed cooperative intelligent agent device positioned at the jth bus node is not enough to regulate the voltage of the bus node of the main voltage regulating intelligent agent into a safety domain, and the reactive compensation of the next-stage intelligent agent is executed according to the sequence of the reactive-voltage sensitivity from large to small;

if the active compensation value is delta P_j(t) if the residual active compensation capacity of the energy storage equipment at the jth bus node is smaller than that of the energy storage equipment at the jth bus node, the active compensation of the distributed cooperative intelligent body device at the jth bus node is enough to regulate the bus node voltage of the main voltage regulating intelligent body into a safety domain, so that further active compensation is not required to be executed, and the voltage regulation of the main voltage regulating intelligent body is finished;

if the active compensation value is delta P_j(t) the residual active compensation capacity of the energy storage equipment of the jth bus node is larger than that of the distributed cooperative intelligent body device of the jth bus node, the maximum active compensation of the distributed cooperative intelligent body device of the jth bus node is not enough to regulate the bus node voltage of the main voltage regulating intelligent body into the safety domain, and the active compensation of the next distributed cooperative intelligent body device is executed according to the active-voltage sensitivity sequence until the bus node voltage of the main voltage regulating intelligent body is regulated into the safety domain.

5) After each power compensation, if the bus nodes of the main voltage-regulating intelligent bodies are regulated to a safe area, synchronously updating the bus node voltages of all the distributed cooperative intelligent body devices, comparing the voltage per unit values of all the bus nodes to determine the maximum voltage deviation, if the maximum voltage deviation of all the bus nodes is less than or equal to a set value, selecting new main voltage-regulating intelligent bodies, and finishing the iteration of a voltage-regulating algorithm; if the deviation is larger than the set value, a new main voltage regulating intelligent agent is selected again, and power compensation is executed; and (5) iterating one by one according to the steps 1) to 4) until the maximum voltage deviation of all bus nodes of the distributed cooperative intelligent body device is less than or equal to a set value, finishing iteration of the voltage regulating algorithm, and finally determining the control instruction of each power compensation device.

5. The method for the multi-terminal cooperative voltage governance of the high-permeability photovoltaic-accessed power grid according to claim 4, characterized in that: under the condition that the communication delay is out of range, a prediction power compensation method based on maximum tolerance delay estimation is adopted for voltage regulation, and the method specifically comprises the following steps:

the influence of the communication delay on the voltage regulation of the main voltage regulation agent, namely the ith bus node is expressed as follows:

wherein τ (t) is the communication network transmission delay;

is the maximum tolerated communication delay;

is the voltage of the ith bus node under the influence of power fluctuation during time delay;

during communication time delay, calculating the allowable maximum power fluctuation amplitude of each bus node of the distributed cooperative intelligent agent device based on the formula (5) and the formula (6), wherein when the power fluctuation is smaller than a set threshold, the ith bus voltage change is smaller than the set threshold; if the power change rate is kept unchanged during the time delay, the maximum tolerant communication time delay

in the formula (I), the compound is shown in the specification,

is the maximum power rate of change of the jth bus node;

in the centralized voltage regulation process, if the communication time delay is smallIn the time delay threshold value in the formula (8), the distributed cooperative agent device selects to execute the power compensation request issued by the centralized cooperative agent device; if the communication time delay exceeds the time delay threshold, namely the distributed cooperative intelligent agent device is at the time delay threshold

And the power compensation request issued by the centralized coordination agent device cannot be received within the time range, and the voltage regulation request of the current system is met by executing the predicted power compensation.

6. The method for the multi-terminal cooperative voltage governance of the high-permeability photovoltaic-accessed power grid according to claim 5, wherein the predicted power compensation method is as follows: according to the received or predicted power compensation request of the centralized coordination agent device, each distributed coordination agent device adjusts local power compensation equipment through a control execution module, and according to a reactive compensation control instruction and an active compensation control instruction, a set control method is adopted to carry out reactive/reactive control dynamic adjustment on a local node inverter and SVC equipment, so that the bus voltage of the global system is restored to the safe area.

7. The method for the multi-terminal cooperative voltage governance of the power grid accessed by the high-permeability photovoltaic system as claimed in claim 1, wherein if intermittent local over/under voltage occurs in the bus voltage, the method specifically comprises the following steps:

on the ith bus node, the distributed collaborative agent device collects voltage information and injection power information of a local bus node, calculates a voltage per unit value and sends the collected information to an adjacent distributed collaborative agent device;

the distributed cooperative intelligent agent device judges whether intermittent voltage out-of-limit occurs to a local bus node, and if the intermittent voltage out-of-limit does not occur, the distributed cooperative intelligent agent device does not send a voltage regulating request to the local bus node and other distributed cooperative intelligent agent devices; if the intermittent voltage exceeds the limit, sending a voltage regulating request to other distributed cooperative intelligent body devices, and recording as an intelligent body j;

when voltage regulation requests from a plurality of primary agents are received at the same time, the agent j judges whether the voltage regulation requests can be responded according to the residual reactive capacity of the local inverter and the residual capacity of the energy storage equipment, and if the power compensation capacity is not available, the agent j refuses to respond to the requests of all the agents; if the intelligent agent I has the power compensation capacity, selectively responding to the request of one intelligent agent by comparing all the intelligent agents sending voltage regulation requests, if the voltage out-of-limit problem of the ith bus node is the most serious, preferentially responding to the request of the intelligent agent I, refusing to respond to the requests of other intelligent agents, and simultaneously sending the capacity of local power compensation equipment and the j-th bus node injection power information to the intelligent agent I;

8. The method for the multi-terminal cooperative voltage regulation of the high-permeability photovoltaic-accessed power grid according to claim 7, wherein the distributed cooperative voltage regulation algorithm based on voltage sensitivity and reactive power compensation comprises the following steps:

1) dynamically sensing whether the current direction on a feeder line on which the ith bus is positioned changes or not through the change of injection power of the local ith bus node and an adjacent bus node, if the current direction changes, newly matching the numbers of the local bus nodes on all the first-level intelligent bodies on the corresponding feeder line with the known radial network topology, the impedance of the feeder line and the current direction information of the feeder line, and refreshing and calculating the reactive-voltage sensitivity and the active-voltage sensitivity by adopting the formula (3) and the formula (4);

means all;

2) the method comprises the steps of taking an intelligent agent i as a main voltage regulation intelligent agent, keeping the intelligent agent unchanged in the iterative process of a voltage regulation algorithm, sequentially performing reactive compensation according to the sequence of the reactive compensation and the voltage sensitivity from large to small by utilizing the voltage regulation amplitude value and the reactive-voltage sensitivity of the ith bus node and the reactive compensation capacity information of inverters of all stages of intelligent agents from response, preferentially selecting the inverter on the bus node corresponding to the maximum reactive-voltage sensitivity to perform reactive compensation, recording the bus node corresponding to the maximum reactive-voltage sensitivity as the jth bus node, and regulating the voltage amplitude value based on the ith bus node and the reactive-voltage sensitivity between the ith bus node and the jth bus node injection power

Instead of the original delta V_i(t)；

In the formula：δV_i(t) is the residual voltage regulation amplitude, Δ Q, of the ith bus node_j(t) is a reactive compensation value of the jth bus node, and the superscript "-1" indicates that the reciprocal is solved;

if the inverter reactive compensation delta Q_j(t) is less than the reactive compensation capacity of the inverter on the jth bus node, which indicates that the reactive compensation of the primary agent on the jth bus is enough to regulate the voltage of the ith bus node into the safety domain, and the residual voltage regulation amplitude value delta V of the ith bus node at the moment_i(t) is 0, so that no additional reactive compensation is needed, and the iteration of the voltage regulating algorithm is finished; if the inverter reactive compensation delta Q_j(t) is greater than the inverter reactive compensation capacity on the jth bus node, which indicates that the voltage of the ith bus node is still not in the safe domain under the maximum reactive compensation action of the primary intelligent agent on the jth bus, and the residual voltage regulation amplitude value delta V of the ith bus node is at the moment_i(t) > 0, and the reactive compensation of the next-stage intelligent agent is required to be executed according to the reactive-voltage sensitivity sequence;

3) when all related first-level agents reach respective reactive compensation upper limit and the ith bus node still has the voltage out-of-limit problem, the residual voltage regulation amplitude value and the active-voltage sensitivity of the local ith bus node and the active compensation capacity information of the energy storage equipment of each first-level agent from response are reused, active compensation is sequentially carried out according to the sequence from large to small of the active-voltage sensitivity, the energy storage equipment on the bus node corresponding to the maximum active-voltage sensitivity is preferentially selected to carry out active compensation, the bus node corresponding to the maximum active-voltage sensitivity is recorded as the jth bus node, and the residual voltage regulation amplitude value and the active-voltage sensitivity between the residual voltage regulation amplitude value and the injected power of the jth bus node are based on the ith bus node and the active-voltage sensitivity of each jth bus node

Substituted original delta V_i(t)；

if active compensation is delta P_j(t) is less than the active compensation capacity of the energy storage device on the jth bus node, which indicates that the active compensation of the primary intelligent body on the jth bus is enough to regulate the voltage of the ith bus node into the safety domain, and at the moment, the residual voltage regulation amplitude value delta V of the ith bus node_i(t) is 0, so that no additional active power compensation is needed, and the iteration of the voltage regulating algorithm is finished; if active compensation is delta P_j(t) is greater than the active compensation capacity of the energy storage device on the jth bus node, which indicates that the voltage of the ith bus node is still not in the safe domain under the maximum active compensation action of the first-stage intelligent agent on the jth bus, and the residual voltage regulation amplitude value delta V of the ith bus node at the moment_i(t) > 0, performing active compensation of the next-stage intelligent agent according to the active-voltage sensitivity sequence until the voltage of the ith bus node is regulated into a safety domain, finishing the iteration of a voltage regulation algorithm, and finally determining the control instruction of each power compensation device;

4) the intelligent agent i sends the reactive compensation control instruction and the active compensation control instruction to the first-stage intelligent agents which respond before and records as an intelligent agent j, each first-stage intelligent agent adjusts local power compensation equipment through a control execution module, and reactive/active power output adjustment of local distributed photovoltaic, energy storage inverters and load SVC equipment is realized by adopting a set control method according to the reactive compensation control instruction and the active compensation control instruction, so that the voltage of the ith bus node is recovered to a safe area;

9. The utility model provides a distribution network multiterminal voltage governance system in coordination of high permeability photovoltaic access which characterized in that includes:

10. The high-permeability photovoltaic-accessed power distribution network multi-terminal cooperative voltage governance system according to claim 9, characterized in that: the secondary intelligent bodies acquire out-of-limit information and voltage regulation resource information of all bus voltages under the transformer, make centralized coordination voltage regulation decisions, reasonably distribute voltage regulation tasks to the primary intelligent bodies and achieve multi-terminal coordination voltage comprehensive control.

11. The high-permeability photovoltaic-accessed power distribution network multi-terminal cooperative voltage governance system according to claim 9, characterized in that:

the secondary intelligent agent comprises a data processing module, a voltage evaluation module, a database module, a knowledge base module, a voltage regulation decision module and a control execution module;

the data processing module of the secondary intelligent agent is responsible for receiving the voltage, capacity and power regulating quantity information of all buses from the primary intelligent agent and converting the information into a processable intelligent agent language;

the voltage evaluation module of the secondary intelligent agent is responsible for judging all bus node information from the data processing module, evaluating all feeder line bus voltage out-of-limit conditions and judging whether to trigger and start a centralized coordination voltage regulation algorithm;

the database module of the secondary agent is responsible for storing information from the data processing module and providing data for the pressure regulating decision module;

the knowledge base module of the secondary agent is responsible for storing industry knowledge data from expert experience and providing basic data for the voltage regulation decision module to make decisions and the voltage evaluation module to perform voltage out-of-limit evaluation;

the voltage regulation decision module of the secondary intelligent agent utilizes information from the data processing module, the database module and the knowledge base module, based on a centralized coordination voltage regulation algorithm, formulates a transformer tap regulation instruction including a photovoltaic inverter, an energy storage inverter and SVC reactive and active regulation instructions of each bus node, and sends the instruction to a corresponding primary intelligent agent positioned at the bus node through the control execution module;

and the control execution module of the secondary intelligent agent is responsible for issuing a reactive power or work regulation instruction made by the voltage regulation decision module to the corresponding bus node primary intelligent agent positioned at the bus node.

12. The high-permeability photovoltaic-accessed power distribution network multi-terminal cooperative voltage governance system according to claim 9, characterized in that:

the first-level agent comprises a reaction layer and a negotiation layer, the reaction layer comprises a sensing module, an identification module and a control action execution module, and the negotiation layer comprises a data interaction module, a knowledge base module and a distributed cooperative decision module;

the sensing module of the primary intelligent agent is responsible for collecting all bus information including voltage, capacity and power regulation;

the recognition module of the first-level intelligent agent is responsible for converting information from the sensing module into processable intelligent agent languages and sending the processable intelligent agent languages to the distributed cooperative decision module of the negotiation layer, and meanwhile, rapidly recognizing emergency events in the external environment and directly triggering the reaction layer to control the action execution module to execute corresponding emergency action instructions;

the control action execution module of the primary agent is responsible for issuing an instruction from the distributed cooperative decision module of the cooperative layer and an emergency action instruction from the identification module of the reaction layer to the inverter;

the knowledge base module of the primary agent is responsible for storing industry knowledge from expert experience and data of the distributed cooperative decision module and providing basic data for the decision making of the distributed cooperative decision module;

the distributed cooperative decision module of the primary intelligent agent utilizes information from the identification module, the data interaction module and the knowledge base module to formulate a photovoltaic inverter, an energy storage inverter and an SVC reactive power or work use regulation instruction of each bus node based on a distributed cooperative voltage regulation algorithm, sends the instruction to a corresponding inverter through the control action execution module, and sends corresponding data to the data interaction module for information interaction with the secondary intelligent agent and other primary intelligent agents;

and the data interaction module of the first-level intelligent agent is responsible for receiving information from the second-level intelligent agent and other first-level intelligent agents and sending the instruction information of the distributed cooperative decision module to the second-level intelligent agent and other first-level intelligent agents.

13. A computer-readable storage medium for storing the method for multi-terminal cooperative voltage regulation of the high-permeability photovoltaic-connected power distribution network according to any one of claims 1 to 8.