CN117375070A - Distributed photovoltaic power coordination control method, system, medium and equipment - Google Patents
Distributed photovoltaic power coordination control method, system, medium and equipment Download PDFInfo
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Classifications
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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
- H02J3/381—Dispersed generators
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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
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
- H02J2300/26—The renewable source being solar energy of photovoltaic origin involving maximum power point tracking control for photovoltaic sources
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Abstract
The invention provides a distributed photovoltaic power coordination control method, a system, a medium and equipment, comprising the following steps: acquiring voltage data and tide data of each node in a distributed photovoltaic power distribution network; confirming a target voltage value interval corresponding to the voltage data of each node from a plurality of voltage value intervals divided in advance, and carrying out power coordination control on distributed photovoltaics of each node in the power distribution network based on a control strategy corresponding to the target voltage value interval, the voltage data of each node and the power flow data; the voltage value intervals are obtained by dividing according to preset voltage out-of-limit risk standard data, and each interval corresponds to a control strategy; the system operation characteristics are considered, the distributed photovoltaic power in different voltage value intervals is controlled through a plurality of control strategies, the active power of the distributed photovoltaic with higher voltage out-of-limit risk is reduced based on a sensitivity matrix algorithm, and more comprehensive and scientific regulation and control are realized.
Description
Technical Field
The invention belongs to the technical field of power distribution network control, and particularly relates to a distributed photovoltaic power coordination control method, a system, a medium and equipment.
Background
The traditional power distribution network is designed according to a passive network, the power flow flows from a power distribution substation to an end user, and after the distributed photovoltaic is accessed, the power distribution network is changed from the original passive mode to the active mode, and the power flow direction is changed from single side to double side. With the continuous improvement of the distributed photovoltaic permeability, the local load absorbing capacity is insufficient, the generated power is unbalanced and is supplied and required, so that the power is sent to a power supply substation at the upper stage, when the distributed photovoltaic permeability reaches a certain proportion, the problems of voltage overrun and voltage fluctuation of a feeder line terminal node are easily caused, and the distributed photovoltaic off-grid can be caused under severe conditions, so that the network loss is increased. Conventional power distribution network voltage regulation means are limited, and voltage management faces serious tests. Numerous theoretical studies and engineering practices have demonstrated that voltage out-of-limit is one of the main factors limiting the acceptance of distributed photovoltaics by the distribution network. The voltage control method mainly comprises five types of configuration of an energy storage system, adjustment of distributed photovoltaic reactive power, adjustment of distributed photovoltaic active power, adjustment of on-load voltage regulating transformer tap switch positions and demand side response.
At present, based on the characteristic that the ratio of the resistance to the reactance of the distribution network is large, the voltage regulation effect is better by adopting distributed photovoltaic active power reduction, the existing voltage regulation method generally adopts an active-reactive coordination control strategy, namely, all distributed photovoltaic on a feeder line adopts a single active-voltage droop control coefficient for control calculation, but the actual operation characteristic and comprehensive power generation economy of the system are not fully considered, so that the power reduction amount distribution of the photovoltaic at each node of the feeder line is unreasonable, and the current distributed photovoltaic power control strategy has the problem of being incomplete and scientific.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a distributed photovoltaic power coordination control method, which comprises the following steps:
acquiring voltage data and tide data of each node in a distributed photovoltaic power distribution network;
confirming a target voltage value interval corresponding to the voltage data of each node from a plurality of voltage value intervals divided in advance, and carrying out power coordination control on distributed photovoltaics of each node in the power distribution network based on a control strategy corresponding to the target voltage value interval, the voltage data of each node and the power flow data;
The voltage value intervals are obtained by dividing voltage value fluctuation intervals according to preset voltage out-of-limit risk standard data, each voltage value interval corresponds to a control strategy, and the control strategy is used for carrying out coordination control on active power and reactive power of the distributed photovoltaic based on a sensitivity matrix algorithm and a droop control algorithm.
Preferably, the voltage value interval includes: the device comprises a low-voltage numerical value section, a high-voltage numerical value section, a critical voltage numerical value section and a voltage out-of-limit numerical value section, wherein the voltage out-of-limit risk of the low-voltage numerical value section is smaller than that of the high-voltage numerical value section, the voltage out-of-line risk of the high-voltage numerical value section is smaller than that of the critical voltage numerical value section, and the voltage out-of-limit numerical value section is the voltage out-of-limit numerical value section;
the control strategy comprises the following steps: the system comprises a low-voltage control strategy, a high-voltage control strategy, a critical voltage control strategy and a voltage out-of-limit control strategy, wherein the low-voltage control strategy corresponds to the low-voltage numerical interval, the high-voltage control strategy corresponds to the high-voltage numerical interval, the critical voltage control strategy corresponds to the critical voltage numerical interval, and the voltage out-of-limit control strategy corresponds to the voltage out-of-limit numerical interval.
Preferably, the performing power coordination control on the distributed photovoltaic of each node in the power distribution network based on the control policy corresponding to the target voltage value interval, the voltage data of each node, and the power flow data includes:
if the target voltage value interval is a low voltage value interval, controlling the active power of the distributed photovoltaic of the node to operate in a maximum power tracking point mode according to the low voltage control strategy, wherein the reactive power output is zero;
if the target voltage value interval is a high voltage value interval, calculating a droop control reactive power value through a droop control algorithm based on the node voltage data and a preset droop coefficient, and controlling the distributed photovoltaic active power of the node to operate in a maximum power tracking point mode according to the high voltage control strategy, wherein the reactive power output is the droop control reactive power value;
if the target voltage value interval is a critical voltage value interval, calculating a sensitivity control active power value through a sensitivity matrix algorithm based on the power flow data and the voltage data of a key node, and controlling the reactive power absorption of the distributed photovoltaic of the node to be maximum and the active power output to be the sensitivity control active power value according to the critical voltage control strategy, wherein the key node is the node with the maximum fluctuation of the voltage data;
And if the target voltage value interval is a voltage out-of-limit value interval, controlling the active power output and the reactive power output of the distributed photovoltaic of the node to be zero according to the voltage out-of-limit control strategy.
Preferably, the calculating the sensitivity control active power value by a sensitivity matrix algorithm based on the power flow data and the voltage data of the key node includes:
based on the tide data, obtaining a sensitivity matrix through tide calculation;
and calculating the sensitivity control active power value based on the difference value between the voltage data of the key node and the preset allowable voltage according to the sensitivity matrix.
Preferably, the expression of the sensitivity coefficient matrix is as follows:
wherein: s is S δP The sensitivity coefficient is related to the node voltage phase and the active power in the sensitivity matrix; s is S UP The sensitivity coefficient is related to the node voltage amplitude and the active power in the sensitivity matrix; s is S δQ The sensitivity coefficient is related to the node voltage phase and reactive power in the sensitivity matrix; s is S UQ The sensitivity coefficient is related to the node voltage amplitude and reactive power in the sensitivity matrix; delta is the column vector of the node voltage phase change; Δu is a column vector of node voltage amplitude variations; Δp is the column vector of the node injection active power variation; Δq is the column vector of the node injection reactive power variation.
Preferably, the expression of the sensitivity control active power value is as follows:
wherein: p'. pv,i Controlling the active power value for the sensitivity of the ith distributed photovoltaic; p (P) mppt,i As the ith distributed photovoltaicMaximum active power; v (V) N Is the voltage of the key node; v (V) max Is a preset allowable voltage;the node voltage amplitude and active power related sensitivity coefficient for the ith distributed photovoltaic.
Based on the same inventive concept, the invention further provides a distributed photovoltaic power coordination control system, which comprises:
and a data acquisition module: acquiring voltage data and tide data of each node in a distributed photovoltaic power distribution network;
and the control module is used for: confirming a target voltage value interval corresponding to the voltage data of each node from a plurality of voltage value intervals divided in advance, and carrying out power coordination control on distributed photovoltaics of each node in the power distribution network based on a control strategy corresponding to the target voltage value interval, the voltage data of each node and the power flow data;
the voltage value intervals are obtained by dividing voltage value fluctuation intervals according to preset voltage out-of-limit risk standard data, each voltage value interval corresponds to a control strategy, and the control strategy is used for carrying out coordination control on active power and reactive power of the distributed photovoltaic based on a sensitivity matrix algorithm and a droop control algorithm.
Preferably, the voltage value interval in the control module includes: the device comprises a low-voltage numerical value section, a high-voltage numerical value section, a critical voltage numerical value section and a voltage out-of-limit numerical value section, wherein the voltage out-of-limit risk of the low-voltage numerical value section is smaller than that of the high-voltage numerical value section, the voltage out-of-line risk of the high-voltage numerical value section is smaller than that of the critical voltage numerical value section, and the voltage out-of-limit numerical value section is the voltage out-of-limit numerical value section;
the control strategy comprises the following steps: the system comprises a low-voltage control strategy, a high-voltage control strategy, a critical voltage control strategy and a voltage out-of-limit control strategy, wherein the low-voltage control strategy corresponds to the low-voltage numerical interval, the high-voltage control strategy corresponds to the high-voltage numerical interval, the critical voltage control strategy corresponds to the critical voltage numerical interval, and the voltage out-of-limit control strategy corresponds to the voltage out-of-limit numerical interval.
Preferably, the power coordination control of the distributed photovoltaic of each node in the power distribution network is performed by the control module based on the control policy corresponding to the target voltage value interval, the voltage data of each node and the power flow data, and the power coordination control includes:
If the target voltage value interval is a low voltage value interval, controlling the active power of the distributed photovoltaic of the node to operate in a maximum power tracking point mode according to the low voltage control strategy, wherein the reactive power output is zero;
if the target voltage value interval is a high voltage value interval, calculating a droop control reactive power value through a droop control algorithm based on the node voltage data and a preset droop coefficient, and controlling the distributed photovoltaic active power of the node to operate in a maximum power tracking point mode according to the high voltage control strategy, wherein the reactive power output is the droop control reactive power value;
if the target voltage value interval is a critical voltage value interval, calculating a sensitivity control active power value through a sensitivity matrix algorithm based on the power flow data and the voltage data of a key node, and controlling the reactive power absorption of the distributed photovoltaic of the node to be maximum and the active power output to be the sensitivity control active power value according to the critical voltage control strategy, wherein the key node is the node with the maximum fluctuation of the voltage data;
and if the target voltage value interval is a voltage out-of-limit value interval, controlling the active power output and the reactive power output of the distributed photovoltaic of the node to be zero according to the voltage out-of-limit control strategy.
Preferably, the calculating, by a sensitivity matrix algorithm, a sensitivity control active power value in the control module based on the power flow data and voltage data of the key node includes:
based on the tide data, obtaining a sensitivity matrix through tide calculation;
and calculating the sensitivity control active power value based on the difference value between the voltage data of the key node and the preset allowable voltage according to the sensitivity matrix.
Preferably, the expression of the sensitivity coefficient matrix in the control module is as follows:
wherein: s is S δP The sensitivity coefficient is related to the node voltage phase and the active power in the sensitivity matrix; s is S UP The sensitivity coefficient is related to the node voltage amplitude and the active power in the sensitivity matrix; s is S δQ The sensitivity coefficient is related to the node voltage phase and reactive power in the sensitivity matrix; s is S UQ The sensitivity coefficient is related to the node voltage amplitude and reactive power in the sensitivity matrix; delta is the column vector of the node voltage phase change; Δu is a column vector of node voltage amplitude variations; Δp is the column vector of the node injection active power variation; Δq is the column vector of the node injection reactive power variation.
Preferably, the expression of the sensitivity control active power value in the control module is as follows:
Wherein: p'. pv,i Controlling the active power value for the sensitivity of the ith distributed photovoltaic; p (P) mppt,i Maximum active power for the ith distributed photovoltaic; v (V) N Is the voltage of the key node; v (V) max Is a preset allowable voltage;the node voltage amplitude and active power related sensitivity coefficient for the ith distributed photovoltaic.
Based on the same inventive concept, the present invention further provides a computer device, including: one or more processors;
a memory for storing one or more programs;
when the one or more programs are executed by the one or more processors, a distributed photovoltaic power coordination control method as described above is implemented.
Based on the same inventive concept, the present application further provides a computer readable storage medium, on which a computer program is stored, which when executed, implements a distributed photovoltaic power coordination control method as described above.
Compared with the closest prior art, the invention has the following beneficial effects:
the invention provides a distributed photovoltaic power coordination control method, a system, a medium and equipment, comprising the following steps: acquiring voltage data and tide data of each node in a distributed photovoltaic power distribution network; confirming a target voltage value interval corresponding to the voltage data of each node from a plurality of voltage value intervals divided in advance, and carrying out power coordination control on distributed photovoltaics of each node in the power distribution network based on a control strategy corresponding to the target voltage value interval, the voltage data of each node and the power flow data; the voltage value intervals are obtained by dividing voltage value fluctuation intervals according to preset voltage out-of-limit risk standard data, and each voltage value interval corresponds to one control strategy; the system operation characteristics are considered, the distributed photovoltaic power in different voltage value intervals is controlled through a plurality of control strategies, the active power of the distributed photovoltaic with higher voltage out-of-limit risk is reduced based on a sensitivity matrix algorithm, and more comprehensive and scientific regulation and control are realized.
Drawings
Fig. 1 is a schematic flow chart of a distributed photovoltaic power coordination control method provided by the present invention;
fig. 2 is a block diagram of a distributed photovoltaic active-reactive cooperative control method provided by the present invention;
fig. 3 is a schematic diagram of a typical topology structure of an N-node low-voltage power distribution network provided by the present invention;
FIG. 4 is a graph of a distributed photovoltaic and load output characteristic provided by the present application;
FIG. 5 is a graph of node voltage before a distributed photovoltaic access provided by the present application;
FIG. 6 is a graph of node voltage after a distributed photovoltaic access, but without power coordination control, according to the present invention;
FIG. 7 is a graph of node voltage for droop control with active power not reduced by reactive power after a distributed photovoltaic access provided by the present application;
FIG. 8 is a graph of reactive power at a node with active power controlled by droop without reactive power reduction after a distributed photovoltaic access provided by the present application;
FIG. 9 is a graph of node voltage for droop control of both active and reactive power after a distributed photovoltaic access provided by the present application;
fig. 10 is a node active power curve of droop control of active power and reactive power after a distributed photovoltaic access provided by the present invention;
FIG. 11 is a graph of node voltage under control of a threshold voltage control strategy after a distributed photovoltaic access according to the present invention;
FIG. 12 is a graph showing the active power reduction of a node under the control of a threshold voltage control strategy after a distributed photovoltaic access according to the present invention;
fig. 13 is a schematic structural diagram of a distributed photovoltaic power coordination control system provided by the present invention.
Detailed Description
The following describes the embodiments of the present application in further detail with reference to the drawings.
Example 1:
the application provides a distributed photovoltaic power coordination control method, as shown in fig. 1, comprising the following specific steps:
step 1: acquiring voltage data and tide data of each node in a distributed photovoltaic power distribution network;
step 2: confirming a target voltage value interval corresponding to the voltage data of each node from a plurality of voltage value intervals divided in advance, and carrying out power coordination control on distributed photovoltaics of each node in the power distribution network based on a control strategy corresponding to the target voltage value interval, the voltage data of each node and the power flow data;
the voltage value intervals are obtained by dividing voltage value fluctuation intervals according to preset voltage out-of-limit risk standard data, each voltage value interval corresponds to a control strategy, and the control strategy is used for carrying out coordination control on active power and reactive power of the distributed photovoltaic based on a sensitivity matrix algorithm and a droop control algorithm.
Specifically, before step 1, the voltage value fluctuation interval is divided into a plurality of voltage value intervals according to a preset voltage threshold risk standard value, and in the embodiment of the present disclosure, each value interval represents different operation states of the system, and has corresponding control strategies for the different operation states. Specifically, as shown in fig. 2, the voltage value fluctuation section is divided into four voltage sections. The interval I is a low-voltage numerical value interval and represents a normal running state of the system; the interval II is a high-voltage numerical value interval, which indicates that the voltage of the system operation is higher, but still within a normal range; the interval III is a critical voltage value interval, which represents that the voltage of the system is at an out-of-limit risk at the moment, and the modulation force is required to be increased; the interval IV is a voltage threshold value interval and represents a system operation fault state, and at the moment, the distributed photovoltaic is shut down due to overvoltage protection off-grid. And the four voltage value intervals are respectively provided with corresponding control strategies.
Specifically, the corresponding control strategy includes: the system comprises a low-voltage control strategy, a high-voltage control strategy, a critical voltage control strategy and a voltage out-of-limit control strategy, wherein the low-voltage control strategy corresponds to a low-voltage numerical interval, the high-voltage control strategy corresponds to a high-voltage numerical interval, the critical voltage control strategy corresponds to a critical voltage numerical interval, and the voltage out-of-limit control strategy corresponds to a voltage out-of-limit numerical interval.
The low-voltage control strategy specifically comprises the following steps: controlling the distributed photovoltaic to operate in a maximum power tracking point mode (maximum power tracking point, mppt), wherein the active power output is maximum, and the reactive power output is zero;
the high voltage control strategy specifically includes: controlling the distributed photovoltaic to operate in a maximum power tracking point mode (maximum power tracking point, mppt), wherein the active power output is maximum, and the reactive power output is a droop control reactive power value, wherein the droop control reactive power value is calculated by adopting a droop control algorithm based on real-time voltage data of each node and a preset droop coefficient k;
the threshold voltage control strategy specifically includes: controlling the reactive power absorption of the distributed photovoltaic of the node to be the maximum value, and controlling the active power output to be a sensitivity control active power value, wherein the sensitivity control active power value is calculated by a sensitivity matrix algorithm based on real-time power flow data and voltage data of key nodes in a circuit;
the voltage out-of-limit control strategy specifically comprises: the active and reactive power outputs of the distributed photovoltaic of the node are controlled to be zero.
The tide data in the step 1 are as follows: voltage amplitude data of each node, active power data injected by each node, reactive power data injected by each node and voltage phase change data of each node. The above-mentioned trend data are mainly used for calculating the sensitivity matrix afterwards. The power grid topology structure of the distributed photovoltaic in the application of the invention is shown in fig. 3, which is a typical low-voltage power distribution network topology structure comprising N nodes, wherein nodes 1 and 2 … are connected with the distributed photovoltaic, and apparent power is respectivelyLoad apparent power is +.>The line parameter is r i +jx i (i＝1,2,...,N)，r i Representing the resistance of the ith node of the unit length line; x is x i Representing the reactance value of the i-th node of the line per unit length. In the invention, the node with the largest voltage data fluctuation is selected as the key node. Before the distributed photovoltaic is not interposed, node voltage is gradually reduced along the feeder line, namely, power flow flows from the head end to the tail end, the voltage of the head end node is basically unchanged due to the fact that the voltage is close to the system side, voltage fluctuation of the tail end node is larger due to the fact that voltage fluctuation is larger due to the load electricity utilization characteristic, and therefore in the embodiment of the invention, the key node is selected as the last node.
According to the method, all distributed photovoltaic active power reduction amounts on the same feeder line are calculated based on the voltage data of the key nodes, and the control is carried out based on the voltage data of the key nodes in the follow-up control, so that all nodes on the same feeder line share active power generation amount loss, the scientificity and the economical efficiency of a power control method can be improved, and economic benefit loss caused by the unscientific calculation of the power reduction amounts is avoided.
In step 2, according to the real-time node voltage data and the power flow data obtained in step 1, power control is performed on the distributed photovoltaic according to different control strategies corresponding to the voltage value interval, and in the embodiment of the disclosure, the specific steps include:
1) If the target voltage value interval is a low voltage value interval, controlling the distributed photovoltaic to operate in a maximum power tracking point mode (maximum power tracking point, mppt) according to a low voltage control strategy, wherein the reactive power output is zero; i.e. the active power output is P pv,i ＝P mppt,i Output of reactive power Q pv,i =0; wherein P is pv,i Active power, P, of the ith distributed photovoltaic mppt,i Maximum active power of ith distributed photovoltaic, Q pv,i Reactive power for the ith distributed photovoltaic.
2) And if the target voltage value interval is a high voltage value interval, controlling and controlling the active power of the distributed photovoltaic of the node to run in a maximum power tracking point mode according to a high voltage control strategy, wherein the reactive power output is the droop control reactive power value.
In the embodiment of the present disclosure, specifically, the droop control reactive power value is calculated as follows:
Q' pv,i ＝k*(V pv,i -V thres )
wherein Q 'is' pv,i Controlling reactive power values, V, for sagging of an ith distributed photovoltaic pv,i V, the voltage amplitude of the ith distributed photovoltaic thres Is threshold voltage, k is droop coefficient;
the expression of the sagging coefficient is:
k＝-Q max /(V up -V thres )
wherein: k is a sag factor; q (Q) max Is the maximum value of reactive power; v (V) up Is the critical voltage; v (V) thres Is a threshold voltage.
3) And if the target voltage value interval is a critical voltage value interval, controlling the reactive power absorption of the distributed photovoltaic of the node to be maximum according to a critical voltage control strategy, and outputting active power to be the sensitivity control active power value. Namely: reactive power output Q pv,i ＝-Q max Active power output P pv,i ＝P' pv,i Wherein P is pv,i Active power for the ith distributed photovoltaic; p'. pv,i Controlling the active power value for the sensitivity of the ith distributed photovoltaic; q (Q) pv,i Reactive power for the ith distributed photovoltaic; -Q max Is the reactive power maximum absorption of the distributed photovoltaic.
The calculation formula of the sensitivity control active power value is as follows:
wherein: p'. pv,i Controlling the active power value for the sensitivity of the ith distributed photovoltaic; p (P) mppt,i Maximum active power for the ith distributed photovoltaic; Δp is the amount of active power reduction; v (V) N Is the voltage of the key node; v (V) max Is a preset allowable voltage;the node voltage amplitude and active power related sensitivity coefficient for the ith distributed photovoltaic.
The active power reduction amount delta P, the node voltage amplitude of the distributed photovoltaic and the sensitivity coefficient related to the active powerThe method is calculated based on the tide data and the voltage data of the key nodes obtained in the step 1, and specifically comprises the following steps:
first, load flow calculation is performed based on parameters such as distributed photovoltaic power generation, load and line. From the power system power flow Jacobian matrix, the power flow calculation in the power distribution network should satisfy the following equation:
wherein: Δp= [ Δp ] 1 ΔP 2 ·· ΔP N ] T Wherein Δp represents the active power variation amount, Δp N Column vectors representing the N-th node injection active power variation; Δq= [ Δq ] 1 ΔQ 2 ·· ΔQ N ] T Δq represents a column vector of the reactive power variation amount, Δq N Representing that the Nth node is injected with reactive power change elements; Δδ= [ Δδ ] 1 Δδ 2 ·· Δδ N ] T Delta represents the column vector of the voltage phase variation, delta N Representing an nth node voltage phase change element; Δu= [ Δu ] 1 ΔU 2 ·· ΔU N ] T DeltaU represents the column vector of the voltage amplitude variation, deltaU N Representing the nth node voltage amplitude variation element. H. J, N and L are coefficient matrices that characterize the relationship between power ripple and voltage at each node, respectively.
Performing matrix inverse transformation on the formula (1) to obtain a sensitivity matrix S:
wherein: s is S δP The sensitivity coefficient is related to the node voltage phase and the active power in the sensitivity matrix; s is S UP The sensitivity coefficient is related to the node voltage amplitude and the active power in the sensitivity matrix; s is S δQ The sensitivity coefficient is related to the node voltage phase and reactive power in the sensitivity matrix; s is S UQ The sensitivity coefficient is related to the node voltage amplitude and reactive power in the sensitivity matrix; delta is the column vector of the node voltage phase change; Δu is a column vector of node voltage amplitude variations; Δp is the column vector of the node injection active power variation; Δq is the column vector of the node injection reactive power variation. S as above δP 、S δQ Respectively representing the node voltage phase change caused when the node injection active power and the node injection reactive power are slightly changed; s is S UP 、S UQ Representing the resulting node voltage amplitude change when minor changes occur in the node injection active and reactive, respectively.
Each sensitivity coefficient S δP 、S δQ 、S UP And S is UQ The expression of (2) is:
wherein: s is S δP The sensitivity coefficient is related to the node voltage phase and the active power in the sensitivity matrix;injecting active power into the Nth node to generate voltage phase change; s is S UP The sensitivity coefficient is related to the node voltage amplitude and the active power in the sensitivity matrix; />Injecting active power into the Nth node to generate voltage change; s is S δQ The sensitivity coefficient is related to the node voltage phase and reactive power in the sensitivity matrix; />Injecting reactive power into the Nth node to generate voltage phase change; s is S UQ The sensitivity coefficient is related to the node voltage amplitude and reactive power in the sensitivity matrix; />Voltage change generated after reactive power is injected into the Nth node to the Nth node;
as can be seen from the formula (2), the voltage amplitude variation of the node i is related to the active and reactive variation of all nodes, and the influence of the reactive variation of the node on the voltage amplitude is not considered (i.e. the distributed photovoltaic power generation is considered to operate in the unit power factor mode), so that the following can be obtained:
wherein: deltaU N The voltage variation of the nth node; ΔP N An active power reduction amount for each node of the N;voltage variation generated after active power is injected into the Nth node to the Nth node.
The amount of voltage at the critical node is then calculated. The key nodes are nodes with the maximum voltage data floating in each node, and the fluctuation is larger, so that the control attention is less, the photovoltaic power generation gain is less, and the overall system gain is finally influenced. In the disclosed embodiment, where the critical node is selected as the end node N, the voltage at the Nth node is a further amount ΔU N The expression of (2) is as follows:
ΔU N ＝V N -V max (5)
wherein: deltaU N The more limited the voltage at node N; v (V) N The voltage amplitude of the key node N is represented, and the voltage amplitude is obtained after the distributed photovoltaic power generation is accessed; v (V) max Representing a preset allowable value of the node voltage.
Calculating the active reduction delta P of the access node N based on the voltage of the key node N ：
Wherein: ΔP N The active reduction amount of the distributed photovoltaic power generation system is node N; deltaU N The more limited the voltage at the critical node N;and injecting active power into the N-th node to the i-th node in the sensitivity matrix to generate voltage change, wherein N is the total number of the nodes.
In the present application, the amount of reduction of active power is the same for each node, i.e., the expression is as follows:
ΔP i(i≠N) ＝ΔP N ＝ΔP (7)
wherein: ΔP i(i≠N) The method comprises the steps of reducing the active power of a photovoltaic power generation system of a node i except a key node N; ΔP N The active power reduction amount of the distributed photovoltaic power generation system of the key node N is reduced; Δp is the amount of active power reduction per node.
In the application of the invention, the voltage amplitude V of each node after the active power reduction of the distributed photovoltaic power generation can be calculated based on the active power reduction amount and the sensitivity coefficient curtai1,i To verify whether the node voltage satisfies the standard after the power is adjusted by the power reduction method proposed in the present application, the specific calculation formula is as follows:
wherein: v (V) curtai1,i The voltage amplitude after the i-th distributed photovoltaic power generation active power is reduced; v (V) i The voltage amplitude of the ith node is represented, and the voltage amplitude is the voltage amplitude before the active power of the distributed photovoltaic power generation system is not reduced; Δp is the amount of active power reduction per node;the voltage change generated after active power is injected into the ith node to the jth node in the sensitivity matrix; n is the total number of nodes.
4) And if the target voltage value interval is the voltage out-of-limit value interval, controlling the active power output and the reactive power output of the distributed photovoltaic of the node to be zero according to a voltage out-of-limit control strategy, and performing out-of-limit protection on the distributed photovoltaic.
The invention provides a voltage sensitivity matrix-based distributed photovoltaic active and reactive cooperative control method, namely, when node voltage is limited by high-permeability distributed photovoltaic access, the distributed photovoltaic reduces the voltage of each node by absorbing reactive power, and when the voltage of each node still does not meet the related standard requirement, all distributed photovoltaic on the same feed line cuts active power according to the voltage sensitivity coefficient, so that the voltage of each node is recovered to the normal operation interval. The method can ensure that all distributed photovoltaics on the same feed line share the reduction amount of active power and jointly bear the generated energy loss caused by participating in voltage regulation, and compared with the active processing based on the active voltage sagging coefficient calculation in the prior art, the method provided by the invention is more in line with the running state of the system, and can more scientifically regulate and control the voltage out-of-limit condition of the running state of the system.
Example 2:
in the embodiment of the present disclosure, taking the topology of the distributed photovoltaic in fig. 3 as an example, taking the node number N as 5, building each element simulation model in DIgSILENT/powerfactor, and verifying the effectiveness of the distributed photovoltaic power coordination control method provided by the present invention, where specific parameters are shown in table 1. The distributed photovoltaic and load 24h output characteristics are shown in figure 4.
TABLE 1
In the embodiment of the disclosure, the change condition of node voltage before and after the distributed photovoltaic access and when different voltage regulation methods are adopted is simulated and analyzed aiming at the following five scenes. Simulation boundary conditions: threshold voltage V thres =1.04 p.u., critical voltage V up =1.07 p.u., allowed voltage V max =1.1p.u., reactive-voltage droop coefficient k= -110, reactive power maximum Q max ＝3.3kvar。
(1) Unaccessed distributed photovoltaic
As can be seen from fig. 5, before the distributed photovoltaic is not connected, the voltage of each node is within the normal allowable range, the maximum value is 1.048p.u., and the minimum value is 0.99p.u.. Meanwhile, it can be seen that the node voltage is gradually reduced along the feeder line (the power flow flows from the head end to the tail end), the head end node voltage is basically unchanged due to the fact that the head end node voltage is close to the system side, and the voltage fluctuation of the tail end node voltage is larger due to the load electricity utilization characteristic, so that the key node is the last node 5 in the topology form provided by the method.
(2) The distributed photovoltaic is connected in, and active power and reactive power are not regulated and controlled
As can be seen from fig. 6, after the distributed photovoltaic access, the power generation and the power consumption are unbalanced, so that the power flows in the reverse direction (from the user side to the system side) more than the power flows, the voltage of each node is raised, the maximum value is 1.161p.u., and the minimum value is 1.031p.u.. Meanwhile, the voltage lifting effect is most obvious at the large photovoltaic power generation time of the midday distribution type, and the voltage lifting effect exceeds the normal voltage allowable range.
(3) The distributed photovoltaic is connected in, the active power is not reduced, and the reactive power Q pv,i Calculated from sagging curves
As can be seen from fig. 7 and 8, the distributed photovoltaic outputs active power while absorbing reactive power, and has a certain suppression effect on voltage, and the maximum value of node voltage is 1.134p.u., and the minimum value is 1.031p.u.. Meanwhile, the characteristic that the R/X ratio of the distribution network is large is that the distributed photovoltaic absorption is not functional to inhibit overvoltage but the effect is not ideal.
(4) Access to distributed photovoltaic, and droop control is adopted for both active and reactive power
As can be seen from fig. 9, the distributed photovoltaic uses droop control to well inhibit voltage out-of-limit, the maximum value of the node voltage is 1.1p.u., the minimum value is 1.031p.u., and the voltage is kept in the normal allowable range.
As can be seen from fig. 10, when the fixed active-voltage droop coefficient is adopted, the active reduction is more or less due to the different voltages of the distributed photovoltaic grid-connected points (point of connection, poc), wherein the active reduction amount of the terminal distributed photovoltaic is maximum and reaches 26.85kW, the active of the head-end distributed photovoltaic is not reduced, and the total active reduction amount is 60.06kW, so that when the fixed droop coefficient is adopted for the active and reactive, the gain of the distributed photovoltaic power generation accessed by the terminal is less on the same feeder line.
(5) The distributed photovoltaic is connected, and the critical voltage control strategy provided by the application of the invention is used for carrying out power cooperative control, namely, the active power is output according to the maximum power by adopting a control method based on a sensitivity matrix.
As can be seen from fig. 11, the distributed photovoltaic active and reactive droop cooperative control based on the voltage sensitivity matrix has a good effect of suppressing the voltage out-of-limit, the maximum value of the node voltage is 1.095p.u., the minimum value is 1.031p.u., and the voltage is kept in the normal allowable range.
As can be seen from fig. 12, the active power reduction amounts of the distributed photovoltaics are the same and are all 10.03kW, the total active power reduction amount is 50.15kW, that is, all the distributed photovoltaics on the same feed line participate in overvoltage suppression equally, and the power generation gain loss caused by active power reduction is shared together. Meanwhile, as can be seen by comparing fig. 10 and fig. 12, the total active power reduction is reduced by 9.91kW, that is, the power generation gain of the distributed photovoltaic on the whole feeder line is higher.
In the embodiment of the disclosure, by comparing the voltage and power data under various control methods with the distributed photovoltaic power coordination control method provided by the application of the present invention, the power control method provided by the application of the present invention realizes a more scientific power distribution method which is more in line with the actual running state of the system.
Example 3:
based on the same inventive concept, the invention further provides a distributed photovoltaic power coordination control system.
The system structure is shown in fig. 13, and includes:
and a data acquisition module: acquiring voltage data and tide data of each node in a distributed photovoltaic power distribution network;
and the control module is used for: confirming a target voltage value interval corresponding to the voltage data of each node from a plurality of voltage value intervals divided in advance, and carrying out power coordination control on distributed photovoltaics of each node in the power distribution network based on a control strategy corresponding to the target voltage value interval, the voltage data of each node and the power flow data;
the voltage value intervals are obtained by dividing voltage value fluctuation intervals according to preset voltage out-of-limit risk standard data, each voltage value interval corresponds to a control strategy, and the control strategy is used for carrying out coordination control on active power and reactive power of the distributed photovoltaic based on a sensitivity matrix algorithm and a droop control algorithm.
Preferably, the voltage value interval in the control module includes: the device comprises a low-voltage numerical value section, a high-voltage numerical value section, a critical voltage numerical value section and a voltage out-of-limit numerical value section, wherein the voltage out-of-limit risk of the low-voltage numerical value section is smaller than that of the high-voltage numerical value section, the voltage out-of-line risk of the high-voltage numerical value section is smaller than that of the critical voltage numerical value section, and the voltage out-of-limit numerical value section is the voltage out-of-limit numerical value section;
the control strategy comprises the following steps: the system comprises a low-voltage control strategy, a high-voltage control strategy, a critical voltage control strategy and a voltage out-of-limit control strategy, wherein the low-voltage control strategy corresponds to the low-voltage numerical interval, the high-voltage control strategy corresponds to the high-voltage numerical interval, the critical voltage control strategy corresponds to the critical voltage numerical interval, and the voltage out-of-limit control strategy corresponds to the voltage out-of-limit numerical interval.
Preferably, the power coordination control of the distributed photovoltaic of each node in the power distribution network is performed by the control module based on the control policy corresponding to the target voltage value interval, the voltage data of each node and the power flow data, and the power coordination control includes:
If the target voltage value interval is a low voltage value interval, controlling the active power of the distributed photovoltaic of the node to operate in a maximum power tracking point mode according to the low voltage control strategy, wherein the reactive power output is zero;
if the target voltage value interval is a high voltage value interval, calculating a droop control reactive power value through a droop control algorithm based on the node voltage data and a preset droop coefficient, and controlling the distributed photovoltaic active power of the node to operate in a maximum power tracking point mode according to the high voltage control strategy, wherein the reactive power output is the droop control reactive power value;
if the target voltage value interval is a critical voltage value interval, calculating a sensitivity control active power value through a sensitivity matrix algorithm based on the power flow data and the voltage data of a key node, and controlling the reactive power absorption of the distributed photovoltaic of the node to be maximum and the active power output to be the sensitivity control active power value according to the critical voltage control strategy, wherein the key node is the node with the maximum fluctuation of the voltage data;
and if the target voltage value interval is a voltage out-of-limit value interval, controlling the active power output and the reactive power output of the distributed photovoltaic of the node to be zero according to the voltage out-of-limit control strategy.
Preferably, the calculating, by a sensitivity matrix algorithm, a sensitivity control active power value in the control module based on the power flow data and voltage data of the key node includes:
based on the tide data, obtaining a sensitivity matrix through tide calculation;
and calculating the sensitivity control active power value based on the difference value between the voltage data of the key node and the preset allowable voltage according to the sensitivity matrix.
Preferably, the expression of the sensitivity coefficient matrix in the control module is as follows:
wherein: s is S δP The sensitivity coefficient is related to the node voltage phase and the active power in the sensitivity matrix; s is S UP The sensitivity coefficient is related to the node voltage amplitude and the active power in the sensitivity matrix; s is S δQ The sensitivity coefficient is related to the node voltage phase and reactive power in the sensitivity matrix; s is S UQ The sensitivity coefficient is related to the node voltage amplitude and reactive power in the sensitivity matrix; delta is the column vector of the node voltage phase change; Δu is a column vector of node voltage amplitude variations; Δp is the column vector of the node injection active power variation; Δq is the column vector of the node injection reactive power variation.
Preferably, the expression of the sensitivity control active power value in the control module is as follows:
Wherein: p'. pv,i Controlling the active power value for the sensitivity of the ith distributed photovoltaic; p (P) mppt,i Maximum active power for the ith distributed photovoltaic; v (V) N Is the voltage of the key node; v (V) max Is a preset allowable voltage;node voltage amplitude and active power phase for the ith distributed photovoltaicSensitivity coefficient of the switch.
According to the invention, through the data acquisition module and the control module, different control strategies based on a zero-degree matrix algorithm are adopted for the reactive power and the active power of the distributed photovoltaic of each node in the power distribution network in different voltage value intervals, and the output power of the distributed photovoltaic of each node is regulated and controlled, so that more scientific and economic coordinated control over the distributed photovoltaic power is realized.
Example 4:
based on the same inventive concept, the present application also provides a computer device, which comprises a processor and a memory, wherein the memory is used for storing a computer program, the computer program comprises program instructions, and the processor is used for executing the program instructions stored in the computer storage medium. The processor may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application SpecificIntegrated Circuit, ASIC), off-the-shelf Programmable gate arrays (FPGAs) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., which are the computational core and control core of the terminal adapted to implement one or more instructions, in particular to load and execute one or more instructions within a computer storage medium to implement the corresponding method flow or corresponding functions, to implement the steps of a distributed photovoltaic power coordination control method in the above embodiments.
Example 5:
based on the same inventive concept, the present application also provides a storage medium, in particular, a computer readable storage medium (Memory), which is a Memory device in a computer device, for storing programs and data. It is understood that the computer readable storage medium herein may include both built-in storage media in a computer device and extended storage media supported by the computer device. The computer-readable storage medium provides a storage space storing an operating system of the terminal. Also stored in the memory space are one or more instructions, which may be one or more computer programs (including program code), adapted to be loaded and executed by the processor. The computer readable storage medium herein may be a high-speed RAM memory or a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory. One or more instructions stored in a computer-readable storage medium may be loaded and executed by a processor to implement the steps of a distributed photovoltaic power coordination control method in the above embodiments.
It will be appreciated by those skilled in the art that 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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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.
It should be noted that the foregoing embodiments are merely for illustrating the technical solution of the present application and not for limiting the scope of protection of the present application, and although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that various changes, modifications or equivalents may be made to the specific embodiments of the application after reading the present application, and these changes, modifications or equivalents are within the scope of protection of the claims appended hereto.
Claims (14)
1. A distributed photovoltaic power coordination control method, comprising:
acquiring voltage data and tide data of each node in a distributed photovoltaic power distribution network;
confirming a target voltage value interval corresponding to the voltage data of each node from a plurality of voltage value intervals divided in advance, and carrying out power coordination control on distributed photovoltaics of each node in the power distribution network based on a control strategy corresponding to the target voltage value interval, the voltage data of each node and the power flow data;
the voltage value intervals are obtained by dividing voltage value fluctuation intervals according to preset voltage out-of-limit risk standard data, each voltage value interval corresponds to a control strategy, and the control strategy is used for carrying out coordination control on active power and reactive power of the distributed photovoltaic based on a sensitivity matrix algorithm and a droop control algorithm.
2. The method of claim 1, wherein the voltage value interval comprises: the device comprises a low-voltage numerical value section, a high-voltage numerical value section, a critical voltage numerical value section and a voltage out-of-limit numerical value section, wherein the voltage out-of-limit risk of the low-voltage numerical value section is smaller than that of the high-voltage numerical value section, the voltage out-of-line risk of the high-voltage numerical value section is smaller than that of the critical voltage numerical value section, and the voltage out-of-limit numerical value section is the voltage out-of-limit numerical value section;
The control strategy comprises the following steps: the system comprises a low-voltage control strategy, a high-voltage control strategy, a critical voltage control strategy and a voltage out-of-limit control strategy, wherein the low-voltage control strategy corresponds to the low-voltage numerical interval, the high-voltage control strategy corresponds to the high-voltage numerical interval, the critical voltage control strategy corresponds to the critical voltage numerical interval, and the voltage out-of-limit control strategy corresponds to the voltage out-of-limit numerical interval.
3. The method according to claim 2, wherein the performing power coordination control on the distributed photovoltaic of each node in the power distribution network based on the control policy corresponding to the target voltage value interval, the voltage data of each node, and the power flow data includes:
if the target voltage value interval is a low voltage value interval, controlling the active power of the distributed photovoltaic of the node to operate in a maximum power tracking point mode according to the low voltage control strategy, wherein the reactive power output is zero;
if the target voltage value interval is a high voltage value interval, calculating a droop control reactive power value through a droop control algorithm based on the node voltage data and a preset droop coefficient, and controlling the distributed photovoltaic active power of the node to operate in a maximum power tracking point mode according to the high voltage control strategy, wherein the reactive power output is the droop control reactive power value;
If the target voltage value interval is a critical voltage value interval, calculating a sensitivity control active power value through a sensitivity matrix algorithm based on the power flow data and the voltage data of a key node, and controlling the reactive power absorption of the distributed photovoltaic of the node to be maximum and the active power output to be the sensitivity control active power value according to the critical voltage control strategy, wherein the key node is the node with the maximum fluctuation of the voltage data;
and if the target voltage value interval is a voltage out-of-limit value interval, controlling the active power output and the reactive power output of the distributed photovoltaic of the node to be zero according to the voltage out-of-limit control strategy.
4. A method according to claim 3, wherein calculating a sensitivity control active power value by a sensitivity matrix algorithm based on the power flow data and voltage data of a critical node comprises:
based on the tide data, obtaining a sensitivity matrix through tide calculation;
and calculating the sensitivity control active power value based on the difference value between the voltage data of the key node and the preset allowable voltage according to the sensitivity matrix.
5. The method of claim 4, wherein the sensitivity coefficient matrix is expressed as follows:
wherein: s is S δP The sensitivity coefficient is related to the node voltage phase and the active power in the sensitivity matrix; s is S UP The sensitivity coefficient is related to the node voltage amplitude and the active power in the sensitivity matrix; s is S δQ The sensitivity coefficient is related to the node voltage phase and reactive power in the sensitivity matrix; s is S UQ For node voltage amplitude and reactive power in sensitivity matrixA power dependent sensitivity coefficient; delta is the column vector of the node voltage phase change; Δu is a column vector of node voltage amplitude variations; Δp is the column vector of the node injection active power variation; Δq is the column vector of the node injection reactive power variation.
6. The method of claim 4, wherein the sensitivity control active power value is expressed as follows:
wherein: p'. pv,i Controlling the active power value for the sensitivity of the ith distributed photovoltaic; p (P) mppt,i Maximum active power for the ith distributed photovoltaic; v (V) N Is the voltage of the key node; v (V) max Is a preset allowable voltage;the node voltage amplitude and active power related sensitivity coefficient for the ith distributed photovoltaic.
7. A distributed photovoltaic power coordination control system, comprising:
and a data acquisition module: acquiring voltage data and tide data of each node in a distributed photovoltaic power distribution network;
and the control module is used for: confirming a target voltage value interval corresponding to the voltage data of each node from a plurality of voltage value intervals divided in advance, and carrying out power coordination control on distributed photovoltaics of each node in the power distribution network based on a control strategy corresponding to the target voltage value interval, the voltage data of each node and the power flow data;
the voltage value intervals are obtained by dividing voltage value fluctuation intervals according to preset voltage out-of-limit risk standard data, each voltage value interval corresponds to a control strategy, and the control strategy is used for carrying out coordination control on active power and reactive power of the distributed photovoltaic based on a sensitivity matrix algorithm and a droop control algorithm.
8. The system of claim 7, wherein the voltage value interval in the control module comprises: the device comprises a low-voltage numerical value section, a high-voltage numerical value section, a critical voltage numerical value section and a voltage out-of-limit numerical value section, wherein the voltage out-of-limit risk of the low-voltage numerical value section is smaller than that of the high-voltage numerical value section, the voltage out-of-line risk of the high-voltage numerical value section is smaller than that of the critical voltage numerical value section, and the voltage out-of-limit numerical value section is the voltage out-of-limit numerical value section;
The control strategy comprises the following steps: the system comprises a low-voltage control strategy, a high-voltage control strategy, a critical voltage control strategy and a voltage out-of-limit control strategy, wherein the low-voltage control strategy corresponds to the low-voltage numerical interval, the high-voltage control strategy corresponds to the high-voltage numerical interval, the critical voltage control strategy corresponds to the critical voltage numerical interval, and the voltage out-of-limit control strategy corresponds to the voltage out-of-limit numerical interval.
9. The system of claim 8, wherein the control module performs power coordination control on the distributed photovoltaic of each node in the power distribution network based on the control policy corresponding to the target voltage value interval, the voltage data of each node, and the power flow data, and the power coordination control comprises:
if the target voltage value interval is a low voltage value interval, controlling the active power of the distributed photovoltaic of the node to operate in a maximum power tracking point mode according to the low voltage control strategy, wherein the reactive power output is zero;
if the target voltage value interval is a high voltage value interval, calculating a droop control reactive power value through a droop control algorithm based on the node voltage data and a preset droop coefficient, and controlling the distributed photovoltaic active power of the node to operate in a maximum power tracking point mode according to the high voltage control strategy, wherein the reactive power output is the droop control reactive power value;
If the target voltage value interval is a critical voltage value interval, calculating a sensitivity control active power value through a sensitivity matrix algorithm based on the power flow data and the voltage data of a key node, and controlling the reactive power absorption of the distributed photovoltaic of the node to be maximum and the active power output to be the sensitivity control active power value according to the critical voltage control strategy, wherein the key node is the node with the maximum fluctuation of the voltage data;
and if the target voltage value interval is a voltage out-of-limit value interval, controlling the active power output and the reactive power output of the distributed photovoltaic of the node to be zero according to the voltage out-of-limit control strategy.
10. The system of claim 9, wherein the control module calculates a sensitivity control active power value by a sensitivity matrix algorithm based on the power flow data and voltage data of a critical node, comprising:
based on the tide data, obtaining a sensitivity matrix through tide calculation;
and calculating the sensitivity control active power value based on the difference value between the voltage data of the key node and the preset allowable voltage according to the sensitivity matrix.
11. The system of claim 10, wherein the expression of the sensitivity coefficient matrix in the control module is as follows:
wherein: s is S δP The sensitivity coefficient is related to the node voltage phase and the active power in the sensitivity matrix; s is S UP The sensitivity coefficient is related to the node voltage amplitude and the active power in the sensitivity matrix; s is S δQ For node voltage phase and reactive power in sensitivity matrixA related sensitivity coefficient; s is S UQ The sensitivity coefficient is related to the node voltage amplitude and reactive power in the sensitivity matrix; delta is the column vector of the node voltage phase change; Δu is a column vector of node voltage amplitude variations; Δp is the column vector of the node injection active power variation; Δq is the column vector of the node injection reactive power variation.
12. The system of claim 10, wherein the sensitivity control active power value in the control module is expressed as follows:
wherein: p'. pv,i Controlling the active power value for the sensitivity of the ith distributed photovoltaic; p (P) mppt,i Maximum active power for the ith distributed photovoltaic; v (V) N Is the voltage of the key node; v (V) max Is a preset allowable voltage;the node voltage amplitude and active power related sensitivity coefficient for the ith distributed photovoltaic.
13. A computer device, comprising: one or more processors;
a memory for storing one or more programs;
a distributed photovoltaic power coordination control method as claimed in any one of claims 1 to 6 when said one or more programs are executed by said one or more processors.
14. A computer readable storage medium, characterized in that a computer program is stored thereon, which computer program, when executed, implements a distributed photovoltaic power coordination control method according to any of claims 1 to 6.
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