CN113887892B - Interactive control method for plug-and-play terminal of distributed power supply - Google Patents
Interactive control method for plug-and-play terminal of distributed power supply Download PDFInfo
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Abstract
The invention provides a distributed power supply plug and play terminal interaction control method, which specifically comprises the following 3 steps: the large-scale distributed power partition dividing method based on the clustering partition realizes reasonable division of the distributed power areas in the distribution network management terminal; the plug-and-play interaction mechanism between the distributed power supply management and control terminal and the main station is provided, so that the plug-and-play interaction between the distributed power supply management and control terminal and the main station of the power distribution network is realized; and providing a control strategy of the distributed power supply management and control terminal to realize the control after the distributed power supply is aggregated. The distributed power supply aggregation management and control terminal realizes the grouping management of the distributed power supplies in a certain area, and each distributed power supply group is subjected to aggregation control of one distributed power supply management and control terminal, so that the problem of dimension disaster during direct control of a power distribution network master station on the distributed power supplies is avoided.
Description
Technical Field
The invention relates to the field of distributed power supplies and distribution networks, in particular to a distributed power supply plug-and-play terminal interaction control method.
Background
The large-scale access and application of the distributed power supply are one of basic characteristics of the ubiquitous power internet of things, and the inherent uncertainty of the distributed power supply can bring influence to the safe and stable operation of a power grid on one hand, and on the other hand, the distributed power supply cannot be directly added into the power market operation. The regional distributed power aggregation control system is used as a multi-energy control mode, can cooperatively control distributed renewable energy, participates in the electric power market in an aggregate form, and has important significance in improving the safe and economic operation level of the power grid and promoting clean energy consumption in the construction content of the ubiquitous electric power Internet of things.
At present, most of the internal equipment of each distributed power supply is non-intelligent equipment, and information piece modeling is not performed, such as a photovoltaic combiner box, an inverter and the like, so that information interaction and utilization cannot be realized among all devices, an information island is formed, the information island is difficult to access by a cluster monitoring main station, equipment and information resources are seriously wasted, and the control effect of a large number of distributed power supply control is affected. After the interactive information model is integrated, the monitoring master station adopts a unified model for dispatching the distributed power supply clusters, and the unified model is not specific equipment aiming at specific power supply points, so that the system is simplified, redundant and unnecessary information transmission is reduced, and the integration and interaction of information are facilitated. The cluster monitoring master station needs to be connected with a large amount of random distributed power supplies, the workload is great, and the workload of random power supply connection and debugging can be greatly reduced if plug and play of the random distributed power supplies can be realized.
Disclosure of Invention
The invention provides a distributed power supply plug and play terminal interaction control method, which realizes grouping management of distributed power supplies in a certain area through a distributed power supply aggregation distributed power supply management and control terminal, each distributed power supply group is subjected to aggregation control of one distributed power supply management and control terminal, and the problem of dimension disaster when a power distribution network master station directly controls the distributed power supplies is avoided.
A distributed power supply plug and play terminal interaction control method comprises the following steps:
Step 1: carrying out cluster division on the distributed power supplies to which the management and control terminals belong by adopting a dynamic clustering method, wherein each cluster division is used for controlling one distributed power supply management and control terminal, and establishing the subordinate relation between the distributed power supplies and the distributed power supply management and control terminals to which the distributed power supplies belong, namely, establishing the jurisdiction range of the distributed power supply management and control terminals;
Step 2: the distributed power supply management and control terminal performs plug and play registration interaction with the monitoring master station, and establishes communication connection;
Step3: the distributed power supply management and control terminal calculates the specific output value of each distributed power supply in the jurisdiction after solving the output sum instruction issued by the monitoring main station through multi-objective optimization,
And then, the specific output value is issued to the inverter of the specific distributed power supply of the control area, so that the optimal control of the output of the distributed power supply is realized.
Further, in the step 1, the clustering and dividing the distributed power supplies to which the management and control terminal belongs is to divide the clustering and grouping indexes x j corresponding to the n distributed power generation units into c groupings, where j=1, 2.
Step 1.1: calculating Euclidean distance between any two photovoltaic power generation unit clustering indexes to generate a distance matrix D;
step 1.2: grouping the photovoltaic power generation units corresponding to the two nearest clustering indexes into a group, and taking the middle point as a first initial clustering center;
Step 1.3: setting a minimum distance threshold value alpha between groups, finding out a clustering index with the distance between two clustering indexes in the first group being larger than alpha by using a distance matrix D, classifying the photovoltaic power generation units corresponding to the two closest clustering indexes into a group, and taking the middle point as a second initial clustering center;
step 1.4: repeating the steps until c initial cluster centers are determined, namely n distributed power supplies are divided into c clusters, and dividing each cluster into one distributed power supply management and control terminal for control.
Further, the step 2 specifically includes:
Step 2.1: the distributed power supply management and control terminal sends registration information to the monitoring master station, wherein the registration information comprises version information, IP addresses and port numbers of the distributed power supply management and control terminal and unique identification names;
step 2.2: after the monitoring master station obtains the registration information sent by the distributed power supply management and control terminal, the registration information is compared with the information of the distributed power supply management and control terminal stored in the monitoring master station, and the following conditions exist:
① If the monitoring master station does not have the registration information of the distributed power supply management and control terminal, jumping to the step 2.3;
② If the stored version information of the monitoring master station is inconsistent with the newly acquired version information of the management and control terminal, jumping to the step 2.4;
③ If the unique identification name of the distributed power management and control terminal device identified by the monitoring master station is consistent with the stored identification name, jumping to the step 2.5;
④ If the information of the management and control terminal identified by the monitoring master station is consistent, jumping to the step 2.6;
Step 2.3: a node corresponding to the distributed power supply management and control terminal is newly added in the monitoring master station, corresponding space is distributed in the real-time database, and an information model of the newly added distributed power supply management and control terminal is obtained, so that the access and use of the distributed power supply management and control terminal are realized;
step 2.4: updating the configuration model file of the distributed power supply management and control terminal, so that the model file of the distributed power supply management and control terminal in the new version can cover the model file in the old version, and the information model of the new distributed power supply management and control terminal is acquired, thereby realizing the updating of the distributed power supply management and control terminal;
step 2.5: the monitoring master station transmits the stored model file to the distributed power supply management and control master station and transmits the model information to the distributed power supply management and control terminal, so that the correction of the wrong distributed power supply management and control terminal is realized;
Step 2.6: the monitoring master station acquires the information file of the distributed power supply management and control terminal, and finishes loading and integration of the information data of the distributed power supply management and control terminal, so that plug and play of the distributed power supply management and control terminal is realized.
Further, the step3 specifically includes:
step 3.1: collecting operation data of a region under the jurisdiction of a distributed power supply management and control terminal, wherein the operation data comprise system load data and the maximum power which can be generated under the current natural condition of each distributed power supply;
step 3.2: receiving a control instruction P M、QM from a power distribution network main station;
Step 3.3: constructing a multi-objective optimization model:
Step 3.4: carrying out multi-objective optimization solution on the multi-objective optimization model constructed in the step 3.3 according to real-time data, network parameters and actual scheduling requirements, and calculating the active and reactive output of the optimal distributed power supply, so that the network operates in an optimal state and the utilization rate of the distributed power supply is improved to the greatest extent;
Step 3.5: and the distributed power supply management and control terminal calculates specific output values P DG,i、QDG,i of each distributed power supply in the jurisdiction after solving the output sum instruction issued by the monitoring main station through the multi-objective optimization, and then issues the specific output values P DG,i、QDG,i to the inverter of the specific distributed power supply in the management and control area to realize the optimal control of the output of the distributed power supply.
Further, the constructing the multi-objective optimization model in step 3.3 specifically includes:
considering three optimization targets, the first optimization target is that the output opportunities of all distributed power supplies under a distributed power supply management and control terminal are equal, and the formula is as follows:
N DG in the formula (1) is the number of distributed power supplies in the system, and P DG,i is the active power value of the ith distributed power supply; The average output value of the distributed power supply is obtained; /(I) The output maximum value of the ith distributed power supply;
the second optimization objective is to minimize the network voltage bias as follows:
Wherein n is the number of network nodes, and V i,Vspec,Vi max,Vi min is the voltage amplitude value, the appointed voltage amplitude value, the upper limit of the voltage amplitude value and the lower limit of the voltage amplitude value of the node i respectively;
a third optimization objective is to minimize the network active loss, namely:
wherein B is a network branch set, i, j is the number of the head end node of the branch, theta ij is the phase angle difference of the voltage of the node i, j, and g ij is the branch conductance between the nodes i, j;
aiming at the three objective functions, a weighted mode is adopted to convert a multi-objective optimization model into a single-objective optimization problem, and the objective functions of the constructed multi-objective optimization model are as follows:
minF(x)＝w1·F1(x)/F1 0+w2·F2(x)/F2 0+w3·F3(x)/F3 0 (4)
wherein F 1 0,F2 0,F3 0 is the initial value of the first three objective functions, and w 1,w2,w3 is the weight of the three objective functions, and the weights of the three objective functions are all greater than 0.
Further, constraint conditions of the objective function of the built multi-objective optimization model include a load flow equation constraint, a node voltage amplitude constraint, a line power constraint and a control variable constraint:
Formula (5) is a load flow equation constraint, P DG,i,QDG,i,Pd,i,Qd,i is the DG active and reactive power output and active and reactive load connected to the node i respectively, and G ij,Bij is the element corresponding to the node admittance matrix;
Vi min≤Vi≤Vi max (8)
The formula (6) is the sum of the output of the distributed power supply under the jurisdiction of the distributed power supply management and control terminal which is issued by the main station; equation (7) is the maximum and minimum constraints of the control variable; the formula (8) is the upper and lower limit constraint of the voltage amplitude of each node of the network; equation (9) is the line power constraint, sb k is the apparent power of branch k, pb k,Qbk is the active and reactive power flowing through branch k Is the apparent upper power limit for branch k.
The interactive control method for the distributed power supply plug and play terminals provided by the invention can automatically identify the plug and play terminals of the distributed power supply which are connected with the network, discover new plug and play terminals of the distributed power supply, automatically acquire parameters of the plug and play terminals of the distributed power supply, and realize the management of the running state of the distributed power supply cluster, and has the following advantages:
(1) The monitoring master station does not need to process massive distributed power supplies, and only needs to communicate with the distributed power supply management and control terminal, so that the communication and data volume are greatly reduced, and the safety is greatly improved;
(2) The distributed power supplies of the areas managed by the distributed power supply management and control terminal are divided into dynamic clusters, namely, the distributed power supplies are clustered again after being randomly switched on and off, so that the distributed power supplies can be conveniently used in a plug-and-play mode without directly establishing a plug-and-play relationship between a large amount of distributed power supplies and a master station;
(3) The distributed power supply management and control terminal performs multi-objective optimization calculation on the distributed power supplies in the jurisdiction, and compared with the centralized control of a main station, the calculation amount in the subarea is much smaller, so that the speed is very high.
Drawings
FIG. 1 is a schematic diagram of a distributed power management and control terminal of the present invention divided into regions;
FIG. 2 is a schematic diagram of the interaction of the distributed power management and control terminal of the present invention with a master station;
FIG. 3 is a schematic diagram of a distributed power management and control terminal management and control process according to the present invention;
FIG. 4 is a flow chart of a distributed power plug and play terminal interaction control method of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 4, an embodiment of the present invention provides a distributed power plug and play terminal interaction control method, which includes the following steps:
Step 1: and carrying out cluster division on the distributed power supplies to which the distributed power supply management and control terminals belong by adopting a dynamic clustering method, wherein each cluster division is used for controlling one distributed power supply management and control terminal, and establishing the subordinate relation between the distributed power supplies and the distributed power supply management and control terminals to which the distributed power supply management and control terminals belong, namely establishing the jurisdiction range of the distributed power supply management and control terminals.
In the step 1, the clustering and dividing the distributed power supplies to which the distributed power supply management and control terminal belongs is to divide the clustering and grouping indexes x j (j=1, 2, and the term, n) corresponding to n distributed power generation units into c groupings, and the specific steps include:
Step 1.1: calculating Euclidean distance between any two photovoltaic power generation unit clustering indexes to generate a distance matrix D;
step 1.2: grouping the photovoltaic power generation units corresponding to the two nearest clustering indexes into a group, and taking the middle point as a first initial clustering center;
Step 1.3: setting a minimum distance threshold value alpha between groups, finding out a clustering index with the distance between two clustering indexes in the first group being larger than alpha by using a distance matrix D, classifying the photovoltaic power generation units corresponding to the two closest clustering indexes into a group, and taking the middle point as a second initial clustering center;
step 1.4: repeating the steps until c initial cluster centers are determined, namely n distributed power supplies are divided into c clusters, and dividing each cluster into one distributed power supply management and control terminal for control.
Step 2: the distributed power supply management and control terminal performs plug and play registration interaction with the monitoring master station, and communication connection is established.
In order to realize plug and play of the distributed power supply cluster, the whole communication system is divided into three parts, namely a monitoring master station, a distributed power supply management and control terminal and a distributed power supply, as shown in figure 1. The monitoring master station is positioned in the control center and is responsible for the discovery of the distributed power supply management and control terminal, the receiving of real-time information and the like, and the monitoring master station and the distributed power supply management and control terminal are communicated by adopting an IP network.
The process of plug and play and offline information interaction of the distributed power management and control terminal can be divided into active registration, acquisition, transmission and analysis of self-description file registration as shown in fig. 2, and specifically comprises the following steps:
step 2.1: the distributed power supply management and control terminal sends registration information to the monitoring master station, wherein the registration information comprises information such as version information, IP address and port number, unique identification name and the like of the distributed power supply management and control terminal;
Step 2.2: after the monitoring master station obtains the registration information sent by the distributed power supply management and control terminal, the registration information is compared with the information of the distributed power supply management and control terminal stored in the monitoring master station, and the following conditions exist:
① If the monitoring master station does not have the registration information of the distributed power supply management and control terminal, jumping to the step 2.3;
② If the stored version information of the monitoring master station is inconsistent with the newly acquired version information of the management and control terminal, jumping to the step 2.4;
③ If the unique identification name of the distributed power management and control terminal device identified by the monitoring master station is consistent with the stored identification name, jumping to the step 2.5;
④ If the information of the management and control terminal identified by the monitoring master station, such as the information of the logic equipment, the logic node and the like, is consistent, the step 2.6 is skipped;
Step 2.3: a node corresponding to the distributed power supply management and control terminal is newly added in the monitoring master station, corresponding space is distributed in the real-time database, and an information model of the newly added distributed power supply management and control terminal is obtained, so that the access and use of the distributed power supply management and control terminal are realized;
step 2.4: updating the configuration model file of the distributed power supply management and control terminal, so that the model file of the distributed power supply management and control terminal in the new version can cover the model file in the old version, and the information model of the new distributed power supply management and control terminal is acquired, thereby realizing the updating of the distributed power supply management and control terminal;
step 2.5: the monitoring master station transmits the stored model file to the distributed power supply management and control master station and transmits the model information to the distributed power supply management and control terminal, so that the correction of the wrong distributed power supply management and control terminal is realized;
Step 2.6: the monitoring master station acquires the information file of the distributed power supply management and control terminal, and finishes loading and integration of the information data of the distributed power supply management and control terminal, so that plug and play of the distributed power supply management and control terminal is realized. The interaction of the model information file between the distributed power management and control terminal and the monitoring main station adopts webservices communication mode, which can execute any function from simple request to complex business processing. Once deployed, other Web Service applications can discover and invoke the services it deploys.
Step 3: the distributed power supply management and control terminal calculates specific output values P DG,i、QDG,i of each distributed power supply in the jurisdiction after solving the output sum instruction issued by the monitoring main station through multi-objective optimization, and then issues the specific output values P DG,i、QDG,i to the inverter of the specific distributed power supply in the management and control area to realize the optimal control of the output of the distributed power supply.
Fig. 3 is a block diagram of a control process of the distributed power supply management and control terminal, which is used for collecting data information in real time and controlling the output of the distributed power supply to change the adjustment from passive to active so as to better play the role of the distributed power supply. The step 3 specifically comprises the following steps:
Step 3.1: and collecting operation data of the areas under the jurisdiction of the distributed power supply management and control terminals, wherein the operation data comprise system load data and the maximum power which can be generated under the current natural condition of each distributed power supply.
Step 3.2: receiving a control instruction P M、QM from a power distribution network main station;
Step 3.3: and constructing a multi-objective optimization model.
When the distributed power supply management and control terminal receives a control instruction from the main station, the P M、QM needs to reasonably distribute the total data of the distributed power supply output. The invention considers three optimization targets, wherein the first optimization target has the meaning that the output opportunities of all distributed power supplies under a distributed power supply control terminal are equal, and the formula is as follows:
N DG in the formula (1) is the number of distributed power supplies in the system, and P DG,i is the active power value of the ith distributed power supply; The average output value of the distributed power supply is obtained; /(I) The output maximum value of the ith distributed power supply;
The voltage of each node of the system can be changed after the distributed power supply is connected into the system, the voltage amplitude of the system is an important index for measuring the safety and the power quality of the system, the load can be operated poorly due to the fact that the voltage amplitude is too low, and the load and the system can be operated in unsafe states due to the fact that the voltage amplitude is too high. There are many kinds of evaluation indexes of network voltage, and the invention defines that the network voltage deviation is minimized as a second optimization target, as follows:
wherein n is the number of network nodes, and V i,Vspec,Vi max,Vi min is the voltage amplitude of the node i, the appointed voltage amplitude, the upper limit of the voltage amplitude and the lower limit of the voltage amplitude respectively.
Finally, in order to enable the network to operate in a more economical manner, a third optimization objective is to minimize the network active loss, namely:
Wherein B is a network branch set, i, j is the number of the head end node of the branch, theta ij is the phase angle difference of the voltage of the node i, j, and g ij is the branch conductance between the node i, j.
Aiming at the three objective functions, a weighted mode is adopted to convert a multi-objective optimization model into a single-objective optimization problem, and the specific objective functions are as follows:
min F(x)＝w1·F1(x)/F1 0+w2·F2(x)/F2 0+w3·F3(x)/F3 0 (4)
wherein F 1 0,F2 0,F3 0 is the initial value of the first three objective functions, and w 1,w2,w3 is the weight of the three objective functions, and the weights of the three objective functions are all greater than 0.
While optimizing the network objective function, various constraints of network operation, such as tidal current equation constraints, node voltage magnitude constraints, line power constraints, and control variable constraints, should be satisfied.
Equation (5) is a constraint of a power flow equation, P DG,i,QDG,i,Pd,i,Qd,i is the active and reactive power output and the active and reactive load of the DG connected to the node i respectively, and G ij,Bij is the element corresponding to the node admittance matrix.
Vi min≤Vi≤Vi max (8)
The formula (6) is the sum of the output of the distributed power supply under the jurisdiction of the distributed power supply management and control terminal which is issued by the main station; equation (7) is the maximum and minimum constraints of the control variable; the formula (8) is the upper and lower limit constraint of the voltage amplitude of each node of the network; equation (9) is the line power constraint, sb k is the apparent power of branch k, pb k,Qbk is the active and reactive power flowing through branch kIs the apparent upper power limit for branch k.
Step 3.4: and 3, carrying out multi-objective optimization solution on the multi-objective optimization model constructed in the step 3.3 according to real-time data, network parameters and actual scheduling requirements, and calculating the active and reactive output of the optimal distributed power supply, so that the network operates in an optimal state and the utilization rate of the distributed power supply is improved to the greatest extent.
Step 3.5: and the distributed power supply management and control terminal calculates specific output values P DG,i、QDG,i of each distributed power supply in the jurisdiction after solving the output sum instruction issued by the monitoring main station through the multi-objective optimization, and then issues the specific output values P DG,i、QDG,i to the inverter of the specific distributed power supply in the management and control area to realize the optimal control of the output of the distributed power supply.
The invention specifically comprises 3 important links: the large-scale distributed power partition dividing method based on the clustering partition realizes reasonable division of the distributed power areas in the distributed power management and control terminal of the power distribution network; the plug-and-play interaction mechanism between the distributed power supply management and control terminal and the main station is provided, so that the plug-and-play interaction between the distributed power supply management and control terminal and the main station of the power distribution network is realized; and providing a control strategy of the distributed power supply management and control terminal to realize the control after the distributed power supply is aggregated.
The distributed power supply group is dynamically divided, a dynamic clustering method is adopted, one group is controlled by one distributed power supply management and control terminal, namely, step1 is a basic step of determining the affiliation between the distributed power supply and the distributed power supply management and control terminal; step 2, plug-and-play interaction between a distributed power supply management and control terminal and a master station of an upper power distribution network is solved; and 3, solving the problem of controlling the lower distributed power supply by the distributed power supply control terminal.
The three steps basically surround plug and play of the distributed power supply, wherein the plug and play of the distributed power supply is random switching of plug and play fingers, and the plug and play of the distributed power supply control terminal and the master station replaces the plug and play relationship between the traditional distributed power supply and the master station.
The foregoing is merely illustrative embodiments of the present invention, and the present invention is not limited thereto, and any changes or substitutions that may be easily contemplated by those skilled in the art within the scope of the present invention should be included in the scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.
Claims (3)
1. A distributed power supply plug and play terminal interaction control method is characterized in that: the method comprises the following steps:
Step 1: carrying out cluster division on the distributed power supplies to which the management and control terminals belong by adopting a dynamic clustering method, wherein each cluster division is used for controlling one distributed power supply management and control terminal, and establishing the subordinate relation between the distributed power supplies and the distributed power supply management and control terminals to which the distributed power supplies belong, namely, establishing the jurisdiction range of the distributed power supply management and control terminals;
Step 2: the distributed power supply management and control terminal performs plug and play registration interaction with the monitoring master station, and establishes communication connection;
Step 3: the distributed power supply management and control terminal calculates specific output values of the distributed power supplies in the jurisdiction after solving the output sum instruction issued by the monitoring main station through multi-objective optimization, and then issues the specific output values to inverters of the specific distributed power supplies in the management and control area to realize the optimal control of the output of the distributed power supplies;
The step 3 specifically comprises the following steps:
step 3.1: collecting operation data of a region under the jurisdiction of a distributed power supply management and control terminal, wherein the operation data comprise system load data and the maximum power which can be generated under the current natural condition of each distributed power supply;
step 3.2: receiving a control instruction P M、QM from a power distribution network main station;
Step 3.3: constructing a multi-objective optimization model:
Step 3.4: carrying out multi-objective optimization solution on the multi-objective optimization model constructed in the step 3.3 according to real-time data, network parameters and actual scheduling requirements, and calculating the active and reactive output of the optimal distributed power supply, so that the network operates in an optimal state and the utilization rate of the distributed power supply is improved to the greatest extent;
step 3.5: the distributed power supply management and control terminal calculates specific output values P DG,i、QDG,i of each distributed power supply in the jurisdiction after solving the output sum instruction issued by the monitoring main station through the multi-objective optimization, and then issues the specific output values P DG,i、QDG,i to the inverter of the specific distributed power supply in the management and control area to realize the optimal control of the output of the distributed power supply;
The step 3.3 of constructing the multi-objective optimization model specifically comprises the following steps:
considering three optimization targets, the first optimization target is that the output opportunities of all distributed power supplies under a distributed power supply management and control terminal are equal, and the formula is as follows:
N DG in the formula (1) is the number of distributed power supplies in the system, and P DG,i is the active power value of the ith distributed power supply; The average output value of the distributed power supply is obtained; /(I) The output maximum value of the ith distributed power supply;
the second optimization objective is to minimize the network voltage bias as follows:
Wherein n is the number of network nodes, and V i,Vspec,Vi max,Vi min is the voltage amplitude value, the appointed voltage amplitude value, the upper limit of the voltage amplitude value and the lower limit of the voltage amplitude value of the node i respectively;
a third optimization objective is to minimize the network active loss, namely:
wherein B is a network branch set, i, j is the number of the head end node of the branch, theta ij is the phase angle difference of the voltage of the node i, j, and g ij is the branch conductance between the nodes i, j;
aiming at the three objective functions, a weighted mode is adopted to convert a multi-objective optimization model into a single-objective optimization problem, and the objective functions of the constructed multi-objective optimization model are as follows:
min F(x)＝w1·F1(x)/F1 0+w2·F2(x)/F2 0+w3·F3(x)/F3 0 (4)
Wherein F 1 0,F2 0,F3 0 is the initial value of the first three objective functions, and w 1,w2,w3 is the weight of the three objective functions and the weights of the three objective functions are all greater than 0;
the constraint conditions of the objective function of the constructed multi-objective optimization model comprise a load flow equation constraint, a node voltage amplitude constraint, a line power constraint and a control variable constraint:
Formula (5) is a load flow equation constraint, P DG,i,QDG,i,Pd,i,Qd,i is the DG active and reactive power output and active and reactive load connected to the node i respectively, and G ij,Bij is the element corresponding to the node admittance matrix;
the distributed power source management and control terminal issued by the main station controls the output of the distributed power source
Sum up; equation (7) is the maximum and minimum constraints of the control variable; the formula (8) is the upper and lower limit constraint of the voltage amplitude of each node of the network; equation (9) is the line power constraint, sb k is the apparent power of branch k, pb k,Qbk is the active and reactive power flowing through branch kIs the apparent upper power limit for branch k.
2. The distributed power plug and play terminal interaction control method as claimed in claim 1, wherein: in the step 1, the clustering and dividing the distributed power supplies to which the management and control terminal belongs is to divide the clustering and grouping indexes x j corresponding to n distributed power generation units into c groupings, j=1, 2.
Step 1.1: calculating Euclidean distance between any two photovoltaic power generation unit clustering indexes to generate a distance matrix D;
step 1.2: grouping the photovoltaic power generation units corresponding to the two nearest clustering indexes into a group, and taking the middle point as a first initial clustering center;
Step 1.3: setting a minimum distance threshold value alpha between groups, finding out a clustering index with the distance between two clustering indexes in the first group being larger than alpha by using a distance matrix D, classifying the photovoltaic power generation units corresponding to the two closest clustering indexes into a group, and taking the middle point as a second initial clustering center;
step 1.4: repeating the steps until c initial cluster centers are determined, namely n distributed power supplies are divided into c clusters, and dividing each cluster into one distributed power supply management and control terminal for control.
3. The distributed power plug and play terminal interaction control method as claimed in claim 1, wherein: the step 2 specifically includes:
Step 2.1: the distributed power supply management and control terminal sends registration information to the monitoring master station, wherein the registration information comprises version information, IP addresses and port numbers of the distributed power supply management and control terminal and unique identification names;
step 2.2: after the monitoring master station obtains the registration information sent by the distributed power supply management and control terminal, the registration information is compared with the information of the distributed power supply management and control terminal stored in the monitoring master station, and the following conditions exist:
① If the monitoring master station does not have the registration information of the distributed power supply management and control terminal, jumping to the step 2.3;
② If the stored version information of the monitoring master station is inconsistent with the newly acquired version information of the management and control terminal, jumping to the step 2.4;
③ If the unique identification name of the distributed power management and control terminal device identified by the monitoring master station is consistent with the stored identification name, jumping to the step 2.5;
④ If the information of the management and control terminal identified by the monitoring master station is consistent, jumping to the step 2.6;
Step 2.3: a node corresponding to the distributed power supply management and control terminal is newly added in the monitoring master station, corresponding space is distributed in the real-time database, and an information model of the newly added distributed power supply management and control terminal is obtained, so that the access and use of the distributed power supply management and control terminal are realized;
step 2.4: updating the configuration model file of the distributed power supply management and control terminal, so that the model file of the distributed power supply management and control terminal in the new version can cover the model file in the old version, and the information model of the new distributed power supply management and control terminal is acquired, thereby realizing the updating of the distributed power supply management and control terminal;
step 2.5: the monitoring master station transmits the stored model file to the distributed power supply management and control master station and transmits the model information to the distributed power supply management and control terminal, so that the correction of the wrong distributed power supply management and control terminal is realized;
Step 2.6: the monitoring master station acquires the information file of the distributed power supply management and control terminal, and finishes loading and integration of the information data of the distributed power supply management and control terminal, so that plug and play of the distributed power supply management and control terminal is realized.
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