CN115564193A - Multi-dimensional comprehensive benefit evaluation method and system for intelligent power distribution network and storage medium - Google Patents
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Abstract
The invention discloses a method and a system for evaluating multi-dimensional comprehensive benefits of an intelligent power distribution network, and a storage medium, wherein the method comprises the following steps: determining a coordination control strategy of new energy and controllable resources of the power distribution network; determining a first operation model corresponding to the first equipment and a second operation model corresponding to the second equipment; monitoring the target load voltage of the power grid in real time and determining a voltage global optimal control strategy through a power grid state estimation algorithm; according to a new energy and controllable resource coordination control strategy and a voltage global optimal control strategy of the power distribution network, equipment operation state information and comprehensive benefit information of the power distribution network are displayed in an integrated mode, and data acquisition and equipment layout strategy information is generated according to the equipment operation state information and the comprehensive benefit information of the power distribution network. The invention integrates two different control strategies, determines the comprehensive benefit information of the power distribution network from multiple dimensions, and reduces the fault probability of the power distribution network equipment in actual operation and the operation efficiency of the power distribution network equipment.
Description
Technical Field
The invention relates to the technical field of power distribution networks, in particular to a multi-dimensional comprehensive benefit evaluation method and system for an intelligent power distribution network and a storage medium.
Background
Distributed resources in the existing power distribution network are numerous in types and different in distributed resource characteristics, corresponding models are often required to be established in order to reflect the change characteristics of the distributed resources of different types, but in the model establishing process, calculation is often very complex, and therefore calculation efficiency is low; in practical application, in the prior art, corresponding models are often respectively established for different types of distributed resources, various parameters required for establishing the corresponding models are generally difficult to obtain, and after the various models are established, output values of the various models are often of different types, so that data are difficult to fit.
In addition, after different types of distributed resources are accessed to the power distribution network, the randomness and uncertainty caused by the access are difficult to be absorbed; the existing technical means are often used for evaluating the power distribution network from a single angle, and the evaluation of the power distribution network is not referred; and various different types of distributed resources are fused into the same system, randomness and uncertainty bring exponential growth, benefit information of the power distribution network is difficult to comprehensively evaluate from the perspective of the system, and the overall efficiency of power distribution network equipment operation is influenced.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above-mentioned problems.
The first aspect of the embodiment of the invention provides a multi-dimensional comprehensive benefit evaluation method for an intelligent power distribution network, which comprises the following steps: acquiring characteristic information from a time sequence of multi-type distributed resources in a target area based on complementary characteristics of the multi-type distributed resources, and determining a new energy and controllable resource coordination control strategy of a power distribution network based on source side new energy complementary characteristics, load side active response characteristics and an energy storage cooperative mode through a pre-constructed multi-source cooperative optimization model; determining a first operation model corresponding to a first device and a second operation model corresponding to a second device based on the operation characteristics, the control characteristics and the attribute parameters of the first device corresponding to a source side and the second device corresponding to a load side; monitoring the target load voltage of the power grid in real time and determining a global optimal voltage control strategy through a power grid state estimation algorithm according to the first operation model and the second operation model; and integrally displaying the equipment running state information and the comprehensive benefit information of the power distribution network of the first equipment and the second equipment through an Internet of things platform and a background server according to the new energy and controllable resource coordination control strategy and the voltage global optimal control strategy of the power distribution network, and generating data acquisition and equipment layout strategy information according to the equipment running state information and the comprehensive benefit information of the power distribution network.
The invention discloses a preferable scheme of a multi-dimensional comprehensive benefit evaluation method for an intelligent power distribution network, wherein the preferable scheme comprises the following steps: the determination of the coordination control strategy of the new energy and the controllable resources of the power distribution network comprises the following steps,
identifying outlier data from the characteristic information based on a box-plot abnormal value identification method, and repairing discrete data in the characteristic information by generating a confrontation network algorithm;
performing clustering analysis on the repaired characteristic information by using the effectiveness index and combining a clustering algorithm, determining target clustering information, and constructing typical scene information according to the target clustering information;
and determining a coordination control strategy of the new energy and the controllable resources of the power distribution network according to the typical scene information, the multi-source collaborative optimization model, the stochastic robust optimization algorithm, the source side new energy complementation characteristic, the load side active response characteristic and the energy storage collaborative mode.
The invention discloses a preferable scheme of a multi-dimensional comprehensive benefit evaluation method for an intelligent power distribution network, wherein the preferable scheme comprises the following steps: also comprises a step of adding a new type of additive,
carrying out scene reduction on the clustering algorithm, determining the time-space correlation when the multi-type distributed resources exert power, respectively fitting different distributed resources by using a Copula function form, calculating Euclidean distances of the distributed resources, and selecting a more appropriate model by comparing the Euclidean distance values;
and determining the uncertainty of the distributed resources by adopting the stochastic robust optimization algorithm, and jointly determining a coordination control strategy of new energy and controllable resources of the power distribution network by taking the maximum total generated energy and the minimum fluctuation of outgoing power of a complementary system as targets.
As an optimal scheme of the multi-dimensional comprehensive benefit evaluation method for the intelligent power distribution network, the method comprises the following steps: the calculation of the coordination control strategy of the new energy and the controllable resources of the power distribution network comprises the following steps,
wherein E represents the total power generation amount of the system, P wt,t Representing the output power of the fan during the time period t, P pv,t Representing the output power of the photovoltaic cell during the period t, P h,t Representing the output power, Δ T, of the hydroelectric generating set during the time period T t Represents the time deviation corresponding to the scheduling period, C represents the system outgoing power fluctuation index, P out,t Represents the outgoing power of the system over a period of t,
represents the average value of the system outgoing power in the scheduling period, and T represents the scheduling period.
As an optimal scheme of the multi-dimensional comprehensive benefit evaluation method for the intelligent power distribution network, the method comprises the following steps: the determination of the voltage global optimum control strategy comprises,
aiming at the equipment operating characteristics and control characteristics of first equipment corresponding to a source side and second equipment corresponding to a load side, establishing mathematical models of various equipment;
the first equipment comprises at least one of fan equipment, photovoltaic equipment and continuous or discrete reactive power compensation equipment, and the second equipment comprises at least one of an escalator, a mobile energy storage device and an electric vehicle;
monitoring the load voltage of important equipment in real time through a power grid state estimation algorithm based on the random fluctuation characteristics of the distributed resources, and extracting the global optimal control gradient of the voltage on line;
according to the load voltage reliability requirement and the voltage control effect, minimizing the voltage deviation of a load node, and determining the voltage stability requirement;
and minimizing the regulating quantity of equipment according to the economic requirement of voltage control, and determining the voltage global optimal control strategy by using a voltage rapid coordination control technology of continuous control equipment and discrete control equipment.
As an optimal scheme of the multi-dimensional comprehensive benefit evaluation method for the intelligent power distribution network, the method comprises the following steps: also comprises the following steps of (1) preparing,
performing state estimation on the power system based on a weighted least square method, determining a sensitivity matrix under the power grid state information at the moment k according to the power grid state at the moment k, and extracting voltage sensitivity on line;
and the MPC performs voltage optimization control on the system through a rolling optimization and closed-loop feedback link in a prediction time domain based on a prediction model.
The invention discloses a preferable scheme of a multi-dimensional comprehensive benefit evaluation method for an intelligent power distribution network, wherein the preferable scheme comprises the following steps: the calculation of the voltage global optimum control strategy comprises,
wherein V (k + 1) represents a voltage vector at the time k +1, V (k | k) represents a voltage vector at the time k, Δ V (k | k) represents an amount of change in the voltage vector at the time k,
the active sensitivity matrix of the state information of the power grid at the moment k is shown, the delta Q (k | k) represents the reactive power change quantity of each node at the moment k,
the method comprises the steps of representing a reactive power sensitivity matrix under power grid state information at the moment k, enabling delta P (k | k) to represent active change quantity of each node at the moment k, enabling F to represent a weighted least square method, enabling V (k + i | k) to represent predicted voltage vectors at the moment k + i, and enabling V 0 (k + i | k) represents the voltage reference vector at time k + i, W represents the voltage control weight matrix, Δ u c (k + i | k) represents the adjustment amount of the controllable device at the time k + i, and Q represents a unit adjustment cost matrix.
In a second aspect of the embodiments of the present invention, a system for evaluating comprehensive benefits of a smart distribution network in multiple dimensions is provided, where the system includes:
the system comprises a first unit, a second unit and a third unit, wherein the first unit is used for acquiring characteristic information from a time sequence of multi-type distributed resources in a target area based on complementary characteristics of the multi-type distributed resources, and determining a coordination control strategy of new energy and controllable resources of a power distribution network based on source side new energy complementary characteristics, load side active response characteristics and an energy storage coordination mode through a pre-constructed multi-source coordination optimization model;
a second unit, configured to obtain, for a first device corresponding to a source side and a second device corresponding to a load side, operating characteristics and control characteristics of the first device and the second device, and determine, based on the operating characteristics and the control characteristics and attribute parameters of the first device and the second device, a first operating model corresponding to the first device and a second operating model corresponding to the second device, respectively;
the third unit monitors the target load voltage of the power grid in real time and determines a voltage global optimal control strategy through a power grid state estimation algorithm according to the first operation model and the second operation model;
and the fourth unit is used for integrally displaying the equipment running state information of the first equipment and the second equipment and the comprehensive benefit information of the power distribution network through an Internet of things platform and a background server based on the power distribution network new energy and controllable resource coordination control strategy and the voltage global optimal control strategy, and generating data acquisition and equipment layout strategy information according to the equipment running state information and the comprehensive benefit information of the power distribution network.
In a third aspect of the embodiments of the present invention, an apparatus is provided, where the apparatus includes:
a processor;
a memory for storing processor-executable instructions;
the processor is configured to invoke the instructions stored by the memory to perform the method of any embodiment of the invention.
In a fourth aspect of the embodiments of the present invention, there is provided a computer-readable storage medium having stored thereon computer program instructions, including:
which when executed by a processor implement a data storage method according to any one of the embodiments of the invention.
The invention has the beneficial effects that: the method and the system for evaluating the multi-dimensional comprehensive benefits of the intelligent power distribution network and the storage medium acquire the characteristic information from the target area based on the complementary characteristics of the multi-type distributed resources, and can be used for establishing a typical scene to reflect the change characteristics of the multi-type distributed resources in the target area and reducing the complexity of operation optimization calculation; the operation model is determined by combining the attribute parameters, so that randomness and uncertainty caused by access of various distributed resources to the power distribution network can be simulated, and the consumption of new energy is promoted; the voltage deviation of an important load node can be minimized through a voltage global optimal control strategy, the voltage control effect is realized, the voltage stability is ensured, meanwhile, the adjustment quantity of each device can be minimized, and the voltage control economy is realized; in addition, the invention integrates two different control strategies, determines the comprehensive benefit information of the power distribution network from multiple dimensions, and generates data acquisition and equipment layout strategy information according to the comprehensive benefit information of the power distribution network, thereby reducing the fault probability of power distribution network equipment in actual operation and the operation efficiency of the power distribution network equipment.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor. Wherein:
fig. 1 is a schematic flowchart of a multi-dimensional comprehensive benefit evaluation method for an intelligent distribution network according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a multi-dimensional comprehensive benefit evaluation system of an intelligent power distribution network according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a multidimensional comprehensive benefit evaluation method and system for an intelligent power distribution network, and a schematic diagram of a change of a CH (+) index in a storage medium through a clustering algorithm according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a multi-dimensional comprehensive benefit evaluation method and system for an intelligent distribution network, and voltage control in a storage medium according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention more comprehensible, embodiments accompanying figures of the present invention are described in detail below, and it is apparent that the described embodiments are a part, not all or all of the embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present invention, shall fall within the protection scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
The present invention will be described in detail with reference to the drawings, wherein the cross-sectional views illustrating the structure of the device are not necessarily enlarged to scale, and are merely exemplary, which should not limit the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Meanwhile, in the description of the present invention, it should be noted that the terms "upper, lower, inner and outer" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation and operate, and thus, cannot be construed as limiting the present invention. Furthermore, the terms first, second, or third are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected" and "connected" in the present invention are to be construed broadly, unless otherwise explicitly specified or limited, for example: can be fixedly connected, detachably connected or integrally connected; they may be mechanically, electrically, or directly connected, or indirectly connected through intervening media, or may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in a specific case to those of ordinary skill in the art.
The technical means of the present invention will be described in detail with reference to specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Referring to fig. 1, a schematic flow diagram of a multi-dimensional comprehensive benefit evaluation method for an intelligent distribution network provided by the invention includes:
s101: the method comprises the steps of obtaining characteristic information from a time sequence of multi-type distributed resources in a target area based on complementary characteristics of the multi-type distributed resources, and determining a new energy and controllable resource coordination control strategy of the power distribution network based on source side new energy complementary characteristics, load side active response characteristics and an energy storage cooperative mode through a pre-constructed multi-source cooperative optimization model. It should be noted that:
in practical application, original data corresponding to the multi-type distributed resources have data missing or data abnormal values, in order to compensate randomness and uncertainty caused by wind power and photovoltaic access, characteristic information can be obtained from time sequences of the multi-type distributed resources in a target area, specific time relation among time sequence data is considered for abnormal data and missing data in the time sequence data, and a power distribution network new energy and controllable resource coordination control strategy is determined through a multi-source collaborative optimization model based on a power supply side new energy complementary characteristic, a load side active response characteristic and an energy storage collaborative mode;
in an alternative embodiment, the method for determining the coordination control strategy of the new energy and the controllable resources of the power distribution network comprises the following steps,
identifying outlier data from the characteristic information of the time sequence according to the characteristic information obtained from the time sequence of the multi-type distributed resources of the target area based on a box-plot abnormal value identification method, and repairing discrete data in the characteristic information of the time sequence by generating a countermeasure network algorithm;
performing clustering analysis on the repaired characteristic information of the time sequence by combining the effectiveness index with a clustering algorithm, determining target clustering information, and constructing typical scene information according to the target clustering information;
determining a coordination control strategy of new energy and controllable resources of the power distribution network through typical scene information, a multi-source collaborative optimization model, a random robust optimization algorithm, a source side new energy complementary characteristic, a load side active response characteristic and an energy storage collaborative mode;
it should be noted that, the invention constructs and generates the countermeasure network (GAN) through the GRU cell, and the GAN-based data generation method replaces the abnormal data and the missing data with the new data with higher precision, identifies the 'discrete point' in the data, and realizes the high-quality repair of the original data;
in an alternative embodiment, the method for determining the coordination control strategy of the new energy and the controllable resources of the power distribution network further comprises,
scene reduction is carried out on a clustering algorithm, the space-time correlation when the multi-type distributed resources exert force is determined, the Copula function form is utilized to respectively fit different distributed resources, the Euclidean distance of the distributed resources is calculated, and a more appropriate model is selected by comparing the magnitude of the Euclidean distance value;
determining distributed resource uncertainty by adopting a random robust optimization algorithm, and jointly determining a multi-uncertainty power distribution network new energy and controllable resource coordination control strategy by taking the maximum total power generation amount and the minimum fluctuation of outgoing power of a complementary system as targets;
it should be noted that the step of using the clustering algorithm to perform scene reduction of the present invention includes,
1) Selected K =2 as the number of clusters (
N is the total number of scenes);
2) Selecting K initial clustering centers according to a maximum and minimum distance principle;
3) Calculating the geometric distance from each data point in the data set to the cluster center, and classifying the data point into the class with the minimum distance;
4) For each class, selecting one Cr in sequence, calculating an adaptive value E (Cr) after replacing Ci with Cr, selecting Cr which enables the adaptive value to be minimum to replace Ci, and updating K clustering centers one by one;
5) A CH (+) index value is calculated from the clustering result, that is,
wherein, T k (N-k) denotes the N-k cluster distance, P k (k-1) represents a k-1 th clustering distance;
6) K = K +1, if
Go to 4), otherwise go to 6);
7) Comparing CH (+) indexes under different K values, wherein the K value corresponding to the maximum CH (+) index value is the optimal clustering number;
it should be noted that fig. 3 shows a schematic diagram of the change of the CH (+) index by the clustering algorithm in the embodiment of the present invention, and as shown in fig. 3, the CH (+) index value changes with the change of the number of clusters, and is an important criterion for reflecting the compactness and the overlapping of the clustering result; the CH (+) index values all have a maximum value when k =2, and decrease as the number of clusters increases, so k =2 is taken as the optimal number of clusters;
illustratively, the method performs scene reduction through clustering, and can be beneficial to describing a typical scene set of long-term trend and seasonal periodicity characteristics of new energy; taking two seasons of summer and winter as an example, the probability corresponding to each scene in a typical scene set generated by a clustering algorithm on the basis of the annual output scene of each power station is shown in the following table;
table 1: the probability corresponding to each scene in a typical scene set.
Due to the fact that the capacities among different types of distributed resources are different in size, in order to effectively reflect the correlation of wind and light output and prevent output data of an electric field with smaller capacity from being submerged in the output data of a large electric field and simultaneously meet the definition requirement of a Copula function, the wind power output data sequence and the photovoltaic output data sequence can be subjected to standardization processing to obtain a wind power output standardized sequence and a photovoltaic output standardized sequence;
it should be noted that, the method of fitting different distributed resources respectively through Copula function form and calculating the euclidean distance thereof, selecting a more appropriate model through comparing the magnitudes of the euclidean distance values can be shown in the following formula,
wherein, F 1 (x 1,i ),F 2 (x 2,i ) Denotes the respective x 1,i 、x 2,i Edge distribution corresponding to distributed resources, I represents a standardized sequence, and X is a random variable 1 ,X 2 Is { x } 1,i ,x 2,i H } with a corresponding edge distribution F, respectively 1,2,. Eta, n, F 1 (x 1 ),F 2 (x 2 )；
The calculation formula of the Euclidean distance is as follows:
it should be noted that the smaller the value of the euclidean distance is, the closer the selected Copula model is to the empirical Copula, and the better the fitting effect is;
in an alternative embodiment, the calculation of the new energy and controllable resource coordination control strategy of the power distribution network comprises,
wherein E represents the total power generation amount of the system, P wt,t Representing the output power of the fan during the period t, P pv,t Representing the output power of the photovoltaic cell during the period t, P h,t Representing the output power, Δ T, of the hydroelectric generating set during a time period T t Represents the time deviation corresponding to the scheduling period, C represents the system outgoing power fluctuation index, P out,t Represents the outgoing power of the system over a period of t,
the average value of the system outgoing power in the scheduling period is represented, and T represents the scheduling period;
it should be noted that the feature information is obtained from the target area based on the complementary characteristics of the multi-type distributed resources, and the feature information can be used for establishing a typical scene to reflect the change features of the multi-type distributed resources in the target area, so that the complexity of operation optimization calculation is reduced.
S102: the method comprises the steps that operating characteristics and control characteristics of first equipment and second equipment are obtained aiming at the first equipment corresponding to a source side and the second equipment corresponding to a load side, and a first operating model corresponding to the first equipment and a second operating model corresponding to the second equipment are respectively determined based on the operating characteristics, the control characteristics and attribute parameters of the first equipment and the second equipment;
it should be noted that the operational models are determined through the operational characteristics, the control characteristics and the attribute parameters of the first device and the second device, randomness and uncertainty caused by the fact that the multi-type distributed resources are accessed to the power distribution network can be simulated, and the new energy consumption can be promoted.
S103: and monitoring the target load voltage of the power grid in real time and determining a voltage global optimal control strategy through a power grid state estimation algorithm according to the first operation model and the second operation model. It should be noted that:
in an alternative embodiment, the determination of the voltage global optimum control strategy comprises,
aiming at equipment operation characteristics and control characteristics of first equipment corresponding to a power supply side and second equipment corresponding to a load side, establishing mathematical models of various equipment;
monitoring the load voltage of important equipment in real time through a power grid state estimation algorithm based on the random fluctuation characteristics of distributed resources, and extracting the global optimal control gradient of the voltage on line;
according to the load voltage reliability requirement and the voltage control effect, minimizing the voltage deviation of a load node, and determining the voltage stability requirement;
and minimizing the regulating quantity of the equipment according to the economic requirement of voltage control, and determining a voltage global optimal control strategy by a voltage rapid coordination control technology of continuous control equipment and discrete control equipment.
S104: according to a new energy and controllable resource coordination control strategy and a voltage global optimal control strategy of the power distribution network, equipment operation state information of the first equipment and the second equipment and comprehensive benefit information of the power distribution network are displayed in an integrated mode through the Internet of things platform and the background server, and data acquisition and equipment layout strategy information is generated according to the equipment operation state information and the comprehensive benefit information of the power distribution network. It should be noted that:
in an alternative embodiment of the method according to the invention,
the first equipment comprises at least one of fan equipment, photovoltaic equipment and continuous or discrete reactive compensation equipment, and the second equipment comprises at least one of an escalator, a mobile energy storage device and an electric vehicle;
as shown in the voltage control diagram of fig. 4, the determining of the voltage global optimal control strategy further includes,
performing state estimation on the power system based on a weighted least square method, determining a sensitivity matrix under the power grid state information at the moment k according to the power grid state at the moment k, and extracting voltage sensitivity on line;
the MPC carries out voltage optimization control on the system through a rolling optimization and closed-loop feedback link in a prediction time domain based on a prediction model;
in an alternative embodiment, the calculation of the voltage global optimal control strategy comprises,
where V (k + 1) represents a voltage vector at the time k + 1, V (k | k) represents a voltage vector at the time k, Δ V (k | k) represents an amount of change in the voltage vector at the time k,
the active sensitivity matrix of the state information of the power grid at the moment k is shown, the delta Q (k | k) represents the reactive power change quantity of each node at the moment k,
the method comprises the steps of representing a reactive power sensitivity matrix under power grid state information at the moment k, enabling delta P (k | k) to represent active change quantity of each node at the moment k, enabling F to represent a weighted least square method, enabling V (k + i | k) to represent predicted voltage vectors at the moment k + i, and enabling V 0 (k + i | k) represents the voltage reference vector at time k + i, W represents the voltage control weight matrix, Δ u c (k + i | k) represents the adjustment amount of the controllable device at the time k + i, and Q represents a unit adjustment cost matrix;
it should be noted that the voltage deviation of the important load node can be minimized through the voltage global optimal control strategy, the voltage control effect is realized, the voltage stability is ensured, and meanwhile, the adjustment quantity of each device can be minimized, and the voltage control economy is realized; in addition, the invention integrates two different control strategies, determines the comprehensive benefit information of the power distribution network from multiple dimensions, and generates data acquisition and equipment layout strategy information according to the comprehensive benefit information of the power distribution network, thereby reducing the fault probability of power distribution network equipment in actual operation and the operation efficiency of the power distribution network equipment.
In a second aspect of the present disclosure,
as shown in fig. 2, a multi-dimensional comprehensive benefit evaluation system for an intelligent power distribution network is provided, which includes:
the system comprises a first unit, a second unit and a third unit, wherein the first unit is used for acquiring characteristic information from a time sequence of multi-type distributed resources in a target area based on complementary characteristics of the multi-type distributed resources, and determining a coordination control strategy of new energy and controllable resources of a power distribution network based on source side new energy complementary characteristics, load side active response characteristics and an energy storage coordination mode through a pre-constructed multi-source coordination optimization model;
the second unit is used for acquiring the operation control characteristics of the first equipment and the second equipment aiming at the first equipment corresponding to the source side and the second equipment corresponding to the load side, and respectively determining a first operation model corresponding to the first equipment and a second operation model corresponding to the second equipment based on the operation control characteristics and the attribute parameters of the first equipment and the second equipment;
the third unit monitors the target load voltage of the power grid in real time through a power grid state estimation algorithm according to the first operation model and the second operation model, and determines a voltage global optimal control strategy;
and the fourth unit is used for integrally displaying the equipment running state information of the first equipment and the second equipment and the comprehensive benefit information of the power distribution network through the Internet of things platform and the background server based on the new energy and controllable resource coordination control strategy and the voltage global optimal control strategy of the power distribution network, and generating data acquisition and equipment layout strategy information according to the equipment running state information and the comprehensive benefit information of the power distribution network.
In a third aspect of the present disclosure,
there is provided an apparatus comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to invoke the memory-stored instructions to perform the method of any of the preceding.
In a fourth aspect of the present invention,
there is provided a computer readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the method of any of the foregoing.
The present invention may be a method, apparatus, system, and/or computer program product that may include a computer-readable storage medium having computer-readable program instructions embodied therewith for carrying out various aspects of the present invention.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be interpreted as a transitory signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or an electrical signal transmitted through an electrical wire.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
Computer program instructions for carrying out operations of the present invention may be assembler instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present invention are implemented by personalizing an electronic circuit, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA), with state information of computer-readable program instructions, which can execute the computer-readable program instructions.
Aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processing unit of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processing unit of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (10)
1. The multi-dimensional comprehensive benefit evaluation method for the intelligent power distribution network is characterized by comprising the following steps:
acquiring characteristic information from a time sequence of multi-type distributed resources in a target area based on complementary characteristics of the multi-type distributed resources, and determining a coordination control strategy of new energy and controllable resources of a power distribution network based on source side new energy complementary characteristics, load side active response characteristics and an energy storage coordination mode through a pre-constructed multi-source coordination optimization model;
determining a first operation model corresponding to a first device and a second operation model corresponding to a second device based on the operation characteristics, the control characteristics and the attribute parameters of the first device corresponding to the source side and the second device corresponding to the load side;
monitoring the target load voltage of the power grid in real time and determining a voltage global optimal control strategy through a power grid state estimation algorithm according to the first operation model and the second operation model;
and integrally displaying the equipment running state information and the comprehensive benefit information of the power distribution network of the first equipment and the second equipment through an Internet of things platform and a background server according to the new energy and controllable resource coordination control strategy and the voltage global optimal control strategy of the power distribution network, and generating data acquisition and equipment layout strategy information according to the equipment running state information and the comprehensive benefit information of the power distribution network.
2. The multi-dimensional comprehensive benefit evaluation method for the intelligent power distribution network according to claim 1, characterized in that: the determination of the coordination control strategy of the new energy and the controllable resources of the power distribution network comprises the following steps,
identifying outlier data from the characteristic information based on a box-plot abnormal value identification method, and repairing discrete data in the characteristic information by generating a confrontation network algorithm;
performing clustering analysis on the repaired characteristic information by using the effectiveness index and combining a clustering algorithm, determining target clustering information, and constructing typical scene information according to the target clustering information;
and determining a coordination control strategy of the new energy and the controllable resources of the power distribution network according to the typical scene information, the multi-source collaborative optimization model, the random robust optimization algorithm, the source side new energy complementary characteristic, the load side active response characteristic and the energy storage collaborative mode.
3. The multi-dimensional comprehensive benefit evaluation method for the intelligent power distribution network according to claim 2, characterized in that: also comprises a step of adding a new type of additive,
scene reduction is carried out on the clustering algorithm, the space-time correlation when the multi-type distributed resources exert force is determined, copula function forms are utilized to respectively fit different distributed resources, the Euclidean distance of the distributed resources is calculated, and a more appropriate model is selected by comparing the Euclidean distance values;
and determining the uncertainty of the distributed resources by adopting the random robust optimization algorithm, and jointly determining a coordination control strategy of new energy and controllable resources of the power distribution network by taking the maximum total power generation amount and the minimum fluctuation of outgoing power of the complementary system as targets.
4. The multi-dimensional comprehensive benefit evaluation method for the intelligent power distribution network according to any one of claims 1 to 3, wherein: the calculation of the coordination control strategy of the new energy and the controllable resources of the power distribution network comprises the following steps,
wherein E represents the total power generation amount of the system, P wt,t Representing the output power of the fan during the time period t, P pv,t Representing the output power of the photovoltaic cell during the period t, P h,t Representing the output power, Δ T, of the hydroelectric generating set during a time period T t Represents the time deviation corresponding to the scheduling period, C represents the system outgoing power fluctuation index, P out,t Representing the outgoing power of the system during the time period t,
represents the average value of the system outgoing power in the scheduling period, and T represents the scheduling period.
5. The multi-dimensional comprehensive benefit evaluation method for the intelligent power distribution network according to claim 4, wherein the method comprises the following steps: the determination of the voltage global optimum control strategy may include,
aiming at the equipment operating characteristics and control characteristics of first equipment corresponding to a source side and second equipment corresponding to a load side, establishing mathematical models of various equipment;
the first equipment comprises at least one of fan equipment, photovoltaic equipment and continuous or discrete reactive power compensation equipment, and the second equipment comprises at least one of an escalator, a mobile energy storage device and an electric vehicle;
monitoring the load voltage of important equipment in real time through a power grid state estimation algorithm based on the random fluctuation characteristics of the distributed resources, and extracting the global optimal control gradient of the voltage on line;
according to the load voltage reliability requirement and the voltage control effect, minimizing the voltage deviation of a load node, and determining the voltage stability requirement;
and according to the requirement of voltage control economy, minimizing the adjustment quantity of equipment, and determining the voltage global optimal control strategy by the voltage rapid coordination control technology of continuous control equipment and discrete control equipment.
6. The multi-dimensional comprehensive benefit evaluation method for the intelligent power distribution network according to claim 5, wherein the method comprises the following steps: also comprises the following steps of (1) preparing,
performing state estimation on the power system based on a weighted least square method, determining a sensitivity matrix under the power grid state information at the moment k according to the power grid state at the moment k, and extracting voltage sensitivity on line;
and the MPC performs voltage optimization control on the system through a rolling optimization and closed-loop feedback link in a prediction time domain based on a prediction model.
7. The multi-dimensional comprehensive benefit evaluation method for the intelligent power distribution network according to claim 6, wherein: the calculation of the voltage global optimum control strategy comprises,
wherein V (k + 1) represents a voltage vector at the time k +1, V (k | k) represents a voltage vector at the time k, Δ V (k | k) represents an amount of change in the voltage vector at the time k,
the active sensitivity matrix of the state information of the power grid at the moment k is shown, the delta Q (k | k) represents the reactive power change quantity of each node at the moment k,
the method comprises the steps of representing a reactive sensitivity matrix under the state information of a power grid at the moment k, enabling delta P (k | k) to represent the active change quantity of each node at the moment k, enabling F to represent a weighted least square method, enabling V (k + i | k) to represent a predicted voltage vector at the moment k + i, and enabling V 0 (k + i | k) represents the voltage reference vector at time k + i, W represents the voltage control weight matrix, Δ u c (k + i | k) represents the adjustment amount of the controllable device at time k + i, and Q represents a unit adjustment cost matrix.
8. The multi-dimensional comprehensive benefit evaluation system for the intelligent power distribution network is characterized by comprising,
the system comprises a first unit, a second unit and a third unit, wherein the first unit is used for acquiring characteristic information from a time sequence of multi-type distributed resources in a target area based on complementary characteristics of the multi-type distributed resources, and determining a coordination control strategy of new energy and controllable resources of a power distribution network based on source side new energy complementary characteristics, load side active response characteristics and an energy storage coordination mode through a pre-constructed multi-source coordination optimization model;
a second unit, configured to obtain, for a first device corresponding to a source side and a second device corresponding to a load side, operating characteristics and control characteristics of the first device and the second device, and determine, based on the operating characteristics and the control characteristics and attribute parameters of the first device and the second device, a first operating model corresponding to the first device and a second operating model corresponding to the second device, respectively;
the third unit monitors the target load voltage of the power grid in real time and determines a voltage global optimal control strategy through a power grid state estimation algorithm according to the first operation model and the second operation model;
and the fourth unit is used for integrally displaying the equipment running state information and the comprehensive benefit information of the power distribution network of the first equipment and the second equipment through an Internet of things platform and a background server based on the coordination control strategy of the new energy and the controllable resources of the power distribution network and the voltage global optimal control strategy, and generating data acquisition and equipment layout strategy information according to the equipment running state information and the comprehensive benefit information of the power distribution network.
9. An apparatus, characterized in that the apparatus comprises,
a processor;
a memory for storing processor-executable instructions;
the processor is configured to invoke the memory-stored instructions to perform the method of any of claims 1-7.
10. A computer readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the method of any of claims 1-7.
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| CN115833115A (en) * | 2023-02-03 | 2023-03-21 | 南方电网数字电网研究院有限公司 | Distributed resource edge control method and device of multi-time scale distribution model |
| CN117114363A (en) * | 2023-10-19 | 2023-11-24 | 北京国电通网络技术有限公司 | Power distribution network regulation and control method, device, electronic equipment and computer readable medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115833115A (en) * | 2023-02-03 | 2023-03-21 | 南方电网数字电网研究院有限公司 | Distributed resource edge control method and device of multi-time scale distribution model |
| CN115833115B (en) * | 2023-02-03 | 2023-05-09 | 南方电网数字电网研究院有限公司 | Distributed resource edge control method and device of multi-time scale distribution model |
| CN117114363A (en) * | 2023-10-19 | 2023-11-24 | 北京国电通网络技术有限公司 | Power distribution network regulation and control method, device, electronic equipment and computer readable medium |
| CN117114363B (en) * | 2023-10-19 | 2024-02-06 | 北京国电通网络技术有限公司 | Power distribution network regulation and control method, device, electronic equipment and computer readable medium |
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