A power dispatching method and system based on a virtual power plant

Abstract

The power dispatch method and system based on the virtual power plant can determine the power demand of each link endpoint in the next time period in the cycle based on multiple link parameters of the current time period in the cycle, so that the determination of the power demand of each link endpoint is more accurate, so that the virtual power plant can more accurately provide power auxiliary services when performing power dispatch of each endpoint in the power grid based on the power demand of each link endpoint; and considering the similarity between voltage current transmission characteristics and water flow characteristics, the power demand expression determined based on the link multiple parameters is optimized and solved based on a water circulation algorithm; and considering the influence of power fluctuation caused by the instability of new energy on power dispatch, virtual power compensation is realized to compensate for the power imbalance caused by the random fluctuation of new energy, so that a more accurate power dispatch scheme is obtained, so that the virtual power plant can better assist energy development.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power dispatching, and more particularly, to a power dispatching method and system based on a virtual power plant. BACKGROUND

[0002] To promote the development of China's comprehensive energy, vigorously developing distributed energy will be the focus of China's energy industry development, accelerating the transformation of energy structure and improving the utilization rate of distributed energy is urgent, and the effective form of aggregating distributed resources is virtual power plant, which can provide an effective development path for energy. The virtual power plant connects the scattered independent energy production equipment through the Internet and intelligent technology to form a unified energy network, integrates a large number of adjustable power loads in the power grid, and adds power dispatching to realize effective peak clipping and valley filling, provide power auxiliary services, and enhance the safety of the power grid. In order to realize accurate power dispatching and meet the demand of supply and demand, determining the power demand of each link endpoint in the power grid is the key to realizing power dispatching. In the prior art, the determination method of the power demand of the power supply link endpoint considers only a single factor, and cannot accurately determine the power demand of each link endpoint, so it is also impossible to accurately realize the control of power dispatching according to the power demand of the link endpoint to realize the balance of supply and demand. In addition, the random fluctuation characteristics of new energy according to the on-site conditions of wind energy, solar energy and the like will also affect the power dispatching of the virtual power plant, but the power variation caused by the instability of the new energy is not considered in the virtual power plant dispatching scheme of the prior art. SUMMARY

[0003] In view of the above problems, the present application provides a power dispatching method and system based on a virtual power plant, which can accurately determine the power demand of each link endpoint in the power grid based on multiple link parameters, and consider the similarity between the transmission characteristics of link voltage and current and the water flow characteristics to optimize and solve the power demand of each link endpoint based on a water circulation algorithm, and consider the influence of the power variation caused by the instability of new energy on power dispatching, so as to obtain a more accurate power dispatching scheme, so that the virtual power plant can better assist energy development.

[0004] To achieve the above purpose, the present application provides the following technical scheme:

[0005] In a first aspect, the present application provides a power dispatching method based on a virtual power plant, comprising:

[0006] S1, calculating the power demand of the power distribution network endpoint in the t+1 time period in the cycle based on a multiple link parameter expression:

[0007]

[0008] wherein, and respectively represent the average active power and the average reactive power flowing into the endpoint i in the t+1th time period in the cycle, which represent the total values of the average active power and the average reactive power of multiple links connected with the endpoint i flowing into the endpoint i;

[0009] wherein, and respectively represent the average active power and the average reactive power flowing through the link ij in the tth time period in the cycle, and respectively represent the average active power and the average reactive power flowing out of the endpoint i in the tth time period in the cycle;

[0010] wherein, represents the current flowing through the link ij in the tth time period in the cycle, R ij and X ij respectively represent the resistance value and the reactance value of the link ij;

[0011] wherein, a(i) represents the endpoint set of the endpoint i as the tail endpoint of the link, and b(i) represents the endpoint set of the endpoint i as the head endpoint of the link;

[0012] wherein, and respectively represent the endpoint voltage of the endpoint i and the endpoint j of the link ij in the tth time period in the cycle, θ ij is the voltage phase angle difference of the endpoint i and the endpoint j;

[0013] wherein, ω1, ω2, ω3, ω4 respectively represent weight coefficients, wherein i=1, 2…N, j=1, 2…N, and N is the total number of grid endpoints;

[0014] S2, based on the expressions of the distribution network endpoint voltage and the endpoint current, the distribution network endpoint voltage and the endpoint current are calculated:

[0015]

[0016] S3, based on the water circulation algorithm, the formulas (1)-(4) are optimized and solved, to obtain the average active power and the average reactive power of the endpoint i flowing into in the t+1th time period in the cycle, wherein i=1, 2…N, and N is the total number of grid endpoints;

[0017] S4, the virtual power plant realizes the power supply of each endpoint in the grid in the t+1th time period in the cycle based on the prediction results of the average active power and the average reactive power of the endpoint i flowing into in step S3, wherein i=1, 2…N;

[0018] S5, solve the average total power value P required by the grid endpoint in the t+1 time period of the cycle t+1 and the total reactive power value Q t+1 ,

[0019] respectively:

[0020]

[0021]

[0022] S6, according to the relationship between the new energy power, grid power and the average total power value P t+1 and the total reactive power value Q t+1 between the above step S5, determine the wind-power system and photovoltaic system in the new energy system The average power and reactive power of the grid need to meet the constraint condition in the t+1 time period of the cycle:

[0023]

[0024] Among them, and respectively represent the average power and reactive power provided by the wind-power system in the t+1 time period of the cycle, and respectively represent the average power and reactive power provided by the photovoltaic system in the t+1 time period of the cycle, and respectively represent the average power and reactive power provided by the grid in the t+1 time period of the cycle;

[0025] S7, judge whether the average power and reactive power provided by the wind-power system and photovoltaic system in the t+1 time period of the cycle meet the above constraint conditions (7) (8), if meet, execute step S8, if not meet, execute step S9;

[0026] S8, store the remaining power in the energy storage device in the t+1 time period of the cycle, wherein the remaining average power and the remaining reactive power

[0027]

[0028] S9, start the standby redundant unit in the grid to provide balanced power and start the reactive power compensation device to provide reactive power compensation So that:

[0029]

[0030] The new energy system will cause power imbalance due to random fluctuations in the t+1 time period of the current cycle, and the standby redundant unit in the power grid needs to be started to provide balanced power satisfying formula (11) to balance the average power imbalance caused by the new energy system; at the same time, the virtual power compensation device needs to be started to provide virtual power compensation satisfying formula (12) to compensate for the virtual power imbalance caused by the new energy system

[0031] In the second aspect, the present application provides a system for power dispatching based on virtual power plant, comprising:

[0032] A first calculation module calculates the power demand of the distribution network endpoint in the t+1 time period of the cycle based on the multiple link parameter expression:

[0033]

[0034] Wherein, and respectively represent the average power and virtual power that needs to flow into the i endpoint in the t+1 time period of the cycle, which represents the overall value of the average power and virtual power flowing into the endpoint i from multiple links connected to the endpoint i;

[0035] Wherein, and respectively represent the average power and virtual power flowing through the link ij in the t time period of the cycle, and respectively represent the average power and virtual power flowing out of the i endpoint in the t time period of the cycle;

[0036] Wherein, represents the current flowing through the link ij in the t time period of the cycle, R ij and X ij respectively represent the resistance value and reactance value of the link ij;

[0037] Wherein, a(i) represents the set of endpoints of which endpoint i is the tail endpoint of the link, and b(i) represents the set of endpoints of which endpoint i is the head endpoint of the link.

[0038] Wherein, and respectively represent the endpoint voltage of endpoint i and endpoint j of the link ij in the t time period of the cycle, θ ij is the difference between the voltage phase angles of endpoint i and endpoint j;

[0039] Wherein, ω1, ω2, ω3, ω4 respectively represent weight coefficients, wherein i=1, 2…N, j=1, 2…N, and N is the total number of endpoints of the power grid.

[0040] A second calculation module calculates the distribution network endpoint voltage and endpoint current based on the distribution network endpoint voltage and endpoint current expression:

[0041]

[0042] An optimization solution module optimizes and solves formulas (1)-(4) based on a water cycle algorithm to obtain the average power of the inflow endpoint i in the t+1 time period within the cycle and the virtual power where i=1, 2…N;

[0043] A power supply control module enables the virtual power plant to realize power supply of each endpoint in the grid in the t+1 time period within the cycle based on the predicted results of the average power and the virtual power of the inflow endpoint i in step S3, where i=1, 2…N;

[0044] A third calculation module calculates the average power total value P t+1 and the virtual power total value Q t+1 of the grid endpoints in the t+1 time period within the cycle, which are respectively:

[0045]

[0046] A constraint condition determination module determines the constraint conditions that the wind-power system and the photovoltaic system in the new energy system need to meet in terms of the average power and the virtual power of the grid in the t+1 time period within the cycle according to the relationship between the new energy power, the grid power, and the average power total value P t+1 and the virtual power total value Q t+1 in step S5 above:

[0047]

[0048]

[0049] where, and respectively represent the average power and the virtual power provided by the wind-power system connected to the grid in the t+1 time period within the cycle, and respectively represent the average power and the virtual power provided by the photovoltaic system connected to the grid in the t+1 time period within the cycle, and respectively represent the average power and the virtual power provided by the grid in the t+1 time period within the cycle;

[0050] a judging module, judging whether the average power and the reactive power provided by the wind-power system and the photovoltaic system incorporated into the power grid in the t+1 time period of the cycle meet the constraint conditions (7) and (8) or not, if yes, the energy storage control module works, if not, the power balance control module works;

[0051] an energy storage control module, storing the residual power in the energy storage device in the t+1 time period of the cycle, wherein the residual average power is and the residual reactive power is

[0052]

[0053] a power balance control module, starting the standby redundant units in the power grid to provide the balance power and starting the reactive power compensation device to provide the reactive power compensation so that:

[0054]

[0055] In the t+1 time period of the current cycle, the new energy system will cause power imbalance due to random fluctuation, and the standby redundant units in the power grid need to be started to provide the balance power meeting the formula (11) to balance the average power imbalance caused by the new energy system; at the same time, the reactive power compensation device needs to be started to provide the reactive power compensation meeting the formula (12) to compensate the reactive power imbalance caused by the new energy system;

[0056] In a third aspect, the present application provides an electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the computer program is executed by the processor to realize the power dispatching method based on the virtual power plant provided in the first aspect of the present application.

[0057] In a fourth aspect, the present application provides a computer readable storage medium, wherein the storage medium stores a computer program executable by a processor, and the computer program is executed by the processor to realize the power dispatching method based on the virtual power plant provided in the first aspect of the present application.

[0058] Compared with the prior art, the present application has the following beneficial effects:

[0059] The power dispatch method and system based on the virtual power plant can determine the power demand of each link endpoint in the next time period in the cycle based on the multiple link parameters of the current time period in the cycle, so that the determination of the power demand of each link endpoint is more accurate, so that the virtual power plant can more accurately provide power auxiliary services when performing power dispatch of each endpoint in the power grid based on the power demand of each link endpoint; and considering the similarity of voltage and current transmission characteristics and water flow characteristics, the power demand expression determined based on the link multiple parameters is optimized and solved based on a water circulation algorithm; and considering the influence of power fluctuation caused by the instability of new energy on power dispatch, the virtual power compensation is realized by enabling the backup redundancy to provide balanced power and virtual power compensation devices to compensate for the power imbalance caused by the random fluctuation of new energy, so that a more accurate power dispatch scheme is obtained, so that the virtual power plant can better assist energy development. BRIEF DESCRIPTION OF DRAWINGS

[0060] Figure 1 is a flowchart of the power dispatch method based on the virtual power plant according to an embodiment of the present application; and

[0061] Figure 2 is a structural diagram of the power dispatch system based on the virtual power plant according to an embodiment of the present application. DETAILED DESCRIPTION

[0062] Reference will now be made to the drawings to describe the exemplary embodiments of the present application in detail. The present application can be implemented in various forms, and is not limited to the embodiments described herein, which are provided to fully and completely disclose the present application and to fully convey the scope of the present application to those skilled in the art. The terms used in the exemplary embodiments represented in the drawings are not limitations of the present application. In the drawings, the same elements / elements are denoted by the same reference numerals.

[0063] Unless otherwise defined, the terms used herein (including technical terms) have meanings commonly understood by those skilled in the art. In addition, it is to be understood that the terms defined in commonly used dictionaries should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art, and should not be interpreted in an idealized or overly formal sense.

[0064] Example 1:

[0065] The present application proposes a power dispatch method based on a virtual power plant, as shown in Figure 1 , comprising:

[0066] S1, calculating the power demand of the power distribution network endpoint in the t+1 time period in the cycle based on the multiple link parameter expression:

[0067]

[0068] wherein, and respectively represent the average active power and the average reactive power required to flow into the endpoint i in the (t+1)th time period in a cycle, which represent the overall values of the average active power and the average reactive power flowing into the endpoint i from multiple links connected to the endpoint i;

[0069] wherein, and respectively represent the average active power and the average reactive power flowing through the link ij in the tth time period in a cycle, represents the current flowing through the link ij in the tth time period in a cycle;

[0070] wherein, R ij and X ij respectively represent the resistance value and the reactance value of the link ij, and the resistance value and the reactance value of each link can be pre-stored in the memory of the virtual power plant in the form of a matrix and read therefrom when performing calculation;

[0071] wherein, and respectively represent the average active power and the average reactive power flowing out of the endpoint i in the tth time period in a cycle, which represent the overall values of the average active power and the average reactive power flowing out of the endpoint i to multiple links connected thereto;

[0072] wherein a(i) represents the endpoint set of the endpoint i as the tail endpoint of a link, and specifically, for the links a→i, b→i, c→i, …, the endpoint i is the tail endpoint of the link, and therefore, the endpoints a, b, c, … belong to the set a(i); b(i) represents the endpoint set of the endpoint i as the head endpoint of a link, and for the links i→d, i→e, i→f, …, the endpoint i is the head endpoint of the link, and therefore, the endpoints d, e, f, … belong to the set b(i); the set a(i) and the set b(i) corresponding to each link endpoint are pre-stored in the memory of the virtual power plant, and the set a(i) and the set b(i) corresponding to the endpoint i are read when performing power demand calculation for the endpoint i;

[0073] wherein, and respectively represent the endpoint voltage of the endpoint i and the endpoint j of the link ij in the tth time period in a cycle; θ ij is the difference between the voltage phase angle of the endpoint i and the voltage phase angle of the endpoint j, and more specifically, it can be obtained by acquiring the voltage phase angle θ i of the endpoint i and the voltage phase angle θ j of the endpoint j, and then calculating the difference between the two, i.e., θ ij = θ i - θ j ;

[0074] wherein ω1, ω2, ω3, ω4 represent weight coefficients respectively, which represent different degrees of contribution made by the multi-link parameters in determining the power demand of the link end point, wherein ω1+ω2=1, ω3+ω4=1;

[0075] wherein i=1, 2…N, j=1, 2…N, N is the total number of grid end points;

[0076] Preferably, 24 hours a day can be set as a period, and each hour can be selected as a time period, so that a period can be divided into 24 time periods;

[0077] S2, calculating the distribution network end point voltage and end point current based on the distribution network end point voltage and end point current expression:

[0078]

[0079] S3, optimizing and solving formula (1)-(4) based on the water circulation algorithm to obtain the average power required to flow into the end point i in the t+1 time period within the period and the virtual power wherein i=1, 2…N, N is the total number of grid end points;

[0080] wherein the water circulation algorithm known in the prior art is a heuristic search algorithm inspired by the water circulation process in nature, which simulates the natural flow process of water and finds the optimal path or solution to the problem by simulating such flow, and the present application is based on the similarity between the transmission characteristics of voltage and current on the link and the water flow characteristics, and based on the water circulation algorithm to optimize and solve the power demand expression described above formula (1)-(4) and the end point voltage and current expression to obtain the optimal solution of the link end point power demand in the next time period t+1 within the period;

[0081] S4, the virtual power plant realizes the power supply of each end point in the grid in the t+1 time period within the period based on the prediction results of the average power and the virtual power of the end point i, i=1, 2…N;

[0082] After the above steps S1-S3, the optimal solution of the power demand of the N link end points in the grid in the t+1 time period within the period is obtained, so the virtual power plant performs power allocation based on the power demand of each link end point to realize reasonable power dispatching;

[0083] S5, solving the average power total value P t+1 and the virtual power total value Q t+1 in the t+1 time period within the period, respectively:

[0084]

[0085] S6, determining the constraint conditions of the average power and the reactive power of the wind-power system and the photovoltaic system in the new energy system in the t+1 time period in the cycle according to the relationship between the new energy power incorporated into the power grid, the power grid power and the average power total value P t+1 and the reactive power total value Q t+1

[0086]

[0087]

[0088] wherein, and respectively represent the average power and the reactive power provided by the wind-power system incorporated into the power grid in the t+1 time period in the cycle, and respectively represent the average power and the reactive power provided by the photovoltaic system incorporated into the power grid in the t+1 time period in the cycle, and respectively represent the average power and the reactive power provided by the power grid in the t+1 time period in the cycle; according to the above constraint conditions (7) (8), the new energy power incorporated into the power grid includes the power provided by the wind-power system and the power provided by the photovoltaic system, and the sum of the power provided by the wind-power system and the power provided by the photovoltaic system and the power provided by the power grid should satisfy the total power demand value of each link endpoint of the power grid, so as to satisfy the power supply of each link endpoint;

[0089] S7, judging whether the average power and the reactive power provided by the wind-power system and the photovoltaic system incorporated into the power grid in the t+1 time period in the cycle satisfy the above constraint conditions (7) (8), if yes, executing step S8, if no, executing step S9;

[0090] Since the new energy will randomly fluctuate according to the on-site wind energy, solar energy and other conditions after being incorporated into the power grid, the instability of the new energy will cause the power imbalance of the wind-power system and the photovoltaic system, so as to cause the decrease of the power incorporated into the power grid and the failure to satisfy the power demand of each link endpoint; in the t+1 time period in the cycle, if the above constraint conditions (7) (8) are satisfied, it indicates that the new energy system in the t+1 time period in the current cycle can basically maintain stability and does not cause power imbalance; if the above constraint conditions (7) (8) are not satisfied, it indicates that the new energy system in the t+1 time period in the current cycle will cause power imbalance due to random fluctuation; ​

[0091] S8, store the residual power quantity in the t+1th time period in the cycle in the energy storage device, wherein the residual average power quantity and the residual reactive power quantity are

[0092]

[0093] S9, start the standby redundant unit in the power grid to provide balanced power and start the reactive power compensation device to provide reactive power compensation So that:

[0094]

[0095] In the t+1th time period in the current cycle, the new energy system will cause power imbalance due to random fluctuations, and the standby redundant unit in the power grid needs to be started to provide balanced power satisfying formula (11) to balance the average power imbalance caused by the new energy system; at the same time, the reactive power compensation device needs to be started to provide reactive power compensation satisfying formula (12) to compensate for the reactive power imbalance caused by the new energy system;

[0096] Embodiment 2:

[0097] The application proposes a power dispatching system 200 based on a virtual power plant, as shown in Figure 2 , comprising:

[0098] A first calculation module calculates the power demand of the distribution network endpoint in the t+1th time period in the cycle based on a multiple link parameter expression:

[0099]

[0100] Wherein, and respectively represent the average power and reactive power required to flow into the i endpoint in the t+1th time period in the cycle, which represents the overall value of the average power and reactive power flowing into the endpoint i from multiple links connected with the endpoint i;

[0101] Wherein, and respectively represent the average power and reactive power flowing through the link ij in the tth time period in the cycle, representing the current flowing through the link ij in the tth time period in the cycle;

[0102] Wherein, R ij and X ijrespectively represent resistance value and reactance value of link ij, resistance value and reactance value of each link can be pre-stored in the form of matrix in the memory of the virtual power plant, and read from the memory when calculating;

[0103] wherein, and respectively represent average active power and average reactive power flowing out of endpoint i in the tth time period in the cycle, which represent the overall value of average active power and average reactive power flowing out of endpoint i to multiple links connected with it;

[0104] wherein a(i) represents endpoint set of endpoint i as tail endpoint of link, specifically, for links a→i, b→i, c→i…, endpoint i is tail endpoint of link, therefore, endpoints a, b, c… belong to set a(i); b(i) represents endpoint set of endpoint i as head endpoint of link, for links i→d, i→e, i→f…, endpoint i is head endpoint of link, therefore, endpoints d, e, f… belong to set b(i), set a(i) and set b(i) corresponding to each link endpoint are pre-stored in the memory of the virtual power plant, and set a(i) and set b(i) corresponding to endpoint i are read when calculating power demand of endpoint i;

[0105] wherein, and respectively represent endpoint voltage of endpoint i and endpoint j of link ij in the tth time period in the cycle; θ ij is phase angle difference of voltage of endpoint i and endpoint j, more specifically, it can be obtained by acquiring phase angle θ i of voltage of endpoint i and phase angle θ j of voltage of endpoint j, and calculating difference between the two, i.e. θ ij = θ i - θ j ;

[0106] wherein ω1, ω2, ω3, ω4 respectively represent weight coefficients, which represent different degrees of contribution made by multiple link parameters in determining power demand of link endpoint, wherein ω1+ω2=1, ω3+ω4=1;

[0107] wherein i=1, 2…N, j=1, 2…N, N is total number of grid endpoints;

[0108] Preferably, 24 hours of a day can be set as one cycle, and specifically, each hour can be selected as a time period, then one cycle can be divided into 24 time periods;

[0109] The second calculation module calculates distribution network endpoint voltage and endpoint current based on expressions of distribution network endpoint voltage and endpoint current:

[0110]

[0111] an optimization solving module, which is based on a water circulation algorithm to optimize and solve the formulas (1)-(4) to obtain the average power of the inflow endpoint i in the tth time period within a cycle and the virtual power wherein i=1, 2…N, and N is the total number of grid endpoints;

[0112] wherein the water circulation algorithm known in the prior art is a heuristic search algorithm inspired by the water circulation process in nature, which finds the optimal path or solution to a problem by simulating the natural flow process of water, and the present application is based on the similarity between the transmission characteristics of voltage and current on the link and the water flow characteristics, and based on the water circulation algorithm to optimize and solve the power demand expressions described in the above formulas (1)-(4) and the endpoint voltage and current expressions to obtain the optimal solution of the link endpoint power demand in the t+1th time period within a cycle;

[0113] a power supply control module, which is based on the prediction results of the average power and the virtual power of the inflow endpoint i in step S3 to realize power supply to each endpoint in the grid, i=1, 2…N;

[0114] After the above steps S1-S3, the optimal solution of the power demand of the N link endpoints in the grid in the t+1th time period within a cycle is obtained, and therefore the virtual power plant performs power allocation based on the power demand of each link endpoint to realize reasonable power dispatching;

[0115] a third calculation module, which calculates the average power total value P t+1 and the virtual power total value Q t+1 in the t+1th time period within a cycle for the grid endpoints, which are respectively:

[0116]

[0117] a constraint condition determination module, which determines the constraint conditions that the average power and virtual power of the wind-power system and the photovoltaic system in the new energy system need to meet in the t+1th time period within a cycle according to the relationship between the new energy power, the grid power and the average power total value P t+1 and the virtual power total value Q t+1 in the above step S5:

[0118]

[0119] wherein, and respectively represent the average active power and the average reactive power provided by the wind-power system incorporated into the power grid in the t+1th time period within the cycle, and respectively represent the average active power and the average reactive power provided by the photovoltaic system incorporated into the power grid in the t+1th time period within the cycle, and respectively represent the average active power and the average reactive power provided by the power grid in the t+1th time period within the cycle; according to the above constraint conditions (7) and (8), the new energy power incorporated into the power grid includes the power provided by the wind-power system and the power provided by the photovoltaic system, and the sum of the power provided by the wind-power system and the power provided by the photovoltaic system and the power provided by the power grid should be greater than or equal to the total power demand of each link endpoint of the power grid, so as to meet the power supply of each link endpoint;

[0120] a judgment module, which judges whether the average active power and the average reactive power provided by the wind-power system and the photovoltaic system incorporated into the power grid in the t+1th time period within the cycle meet the above constraint conditions (7) and (8), if yes, the energy storage control module works, and if no, the power balance control module works;

[0121] Since the new energy will randomly fluctuate according to the on-site wind energy, solar energy and other conditions after being incorporated into the power grid, the instability of the new energy will cause the power imbalance of the wind-power system and the photovoltaic system, thereby reducing the power incorporated into the power grid and failing to meet the power demand of each link endpoint; in the t+1th time period within the cycle, if the above constraint conditions (7) and (8) are met, it indicates that the new energy system can basically maintain stability in the t+1th time period within the current cycle and does not cause power imbalance; if the above constraint conditions (7) and (8) are not met, it indicates that the new energy system causes power imbalance due to random fluctuation in the t+1th time period within the current cycle;

[0122] an energy storage control module, which stores the residual power in the energy storage device in the t+1th time period within the cycle, wherein the residual average active power is and the residual average reactive power is

[0123]

[0124]

[0125] a power balance control module, which starts the standby redundant unit in the power grid to provide balanced power and starts the reactive power compensation device to provide reactive power compensation so that:

[0126]

[0127]

[0128] In the t+1 time period of the current cycle, the new energy system will cause power imbalance due to random fluctuations, and the standby redundant units in the power grid need to be started to provide balanced power satisfying formula (11) to balance the average power imbalance caused by the new energy system ; At the same time, the virtual power compensation device needs to be started to provide virtual power compensation satisfying formula (12) to compensate for the virtual power imbalance caused by the new energy system ;

[0129] Those skilled in the art will appreciate that embodiments of the present application can be provided as methods, systems, or computer program products. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage media, etc.) having computer-usable program code embodied in the medium. The solutions in the embodiments of the present application can be implemented in various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0130] The present application is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, as well as combinations of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing apparatus to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing apparatus produce an apparatus that implements the functions specified in the flowcharts and / or block diagrams. Figure 1 The functions specified in one or more flows and / or blocks Figure 1 The functions specified in one or more flows and / or blocks

[0131] These computer program instructions can also be stored in a computer-readable memory that can direct the computer or other programmable data processing apparatus to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including instruction means, which implements the functions specified in the flowcharts and / or block diagrams. Figure 1 The functions specified in one or more flows and / or blocks Figure 1 The functions specified in one or more flows and / or blocks

[0132] These computer program instructions can also be loaded into a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 These computer program instructions can also be loaded into a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 These computer program instructions can also be loaded into a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks.

[0133] While the preferred embodiments of the application have been described, it should be apparent that further modifications and improvements can be made by those skilled in the art without departing from the scope of the application. Therefore, the scope of the application should be determined by the following claims, including any equivalents thereto.

[0134] Obviously, numerous modifications and variations of the present application are possible in light of the above teachings. It is therefore to be understood that within the scope of the appended claims and their equivalents, the application can be practiced otherwise than as specifically described.​​

Claims

1. A power dispatching method based on a virtual power plant, characterized in that, Includes the following steps: S1. Calculate the power demand of the distribution network endpoints in the (t+1)th time period within the cycle based on the multi-link parameter expression: in, and These represent the average power and virtual power that need to flow into endpoint i during the (t+1)th time period within the period, respectively. They characterize the total value of the average power and virtual power flowing from multiple links connected to endpoint i to endpoint i. in, and Let these represent the average power and virtual power flowing through link ij in the t-th time interval within the period, respectively. This represents the current flowing through link ij during the t-th time interval within the period; Among them, R ij and X ij These represent the resistance and reactance values ​​of link ij, respectively. in, and Let these represent the average power and virtual power flowing out of endpoint i during the t-th time interval within the period, respectively; Where a(i) represents the set of endpoints where endpoint i is the tail endpoint of the link; b(i) represents the set of endpoints where endpoint i is the head endpoint of the link; in, and θ represents the terminal voltages of endpoints i and j of link ij during the t-th time interval within the period; ij Let be the voltage phase angle difference between endpoints i and j; Where ω1, ω2, ω3, and ω4 represent weight coefficients, where ω1+ω2=1 and ω3+ω4=1; Where i = 1, 2…N, j = 1, 2…N, and N is the total number of power grid endpoints; S2. Calculate the terminal voltage and current of the distribution network based on the expressions for the terminal voltage and current of the distribution network: S3. Based on the water circulation algorithm, the formulas (1)-(4) are optimized to obtain the average power required to flow into endpoint i in the (t+1)th time period within the cycle. and virtual power Where i = 1, 2...N, and N is the total number of power grid endpoints; S4. The virtual power plant is based on the average power of the inflow endpoint i in step S3. and virtual power The prediction results enable the power supply of each endpoint in the power grid during the (t+1)th time period within the cycle, where i = 1, 2, ..., N.

2. The power dispatching method based on a virtual power plant according to claim 1, characterized in that, It also includes the following steps: S5. Solve for the average total power P required by the grid terminals in the (t+1)th time interval of the period. t+1 The total value of virtual power Q t+1 They are respectively: S6. Based on the power of the new energy sources connected to the grid, the grid power, and the average total power value P from step S5 above. t+1 The total value of virtual power Q t+1 The relationship between these factors determines the constraints that the average power and virtual power of the wind-power system and photovoltaic system connected to the grid in the new energy system need to satisfy in the (t+1)th time period of the cycle: in, and Let represent the average power and virtual power provided by the wind-power system connected to the grid during the (t+1)th time period of the cycle, respectively. and Let these represent the average power and virtual power provided by the grid-connected photovoltaic system in the (t+1)th time period of the cycle, respectively. and These represent the average power and virtual power provided by the power grid in the (t+1)th time period of the cycle, respectively. S7. Determine whether the average power and virtual power provided by the wind-power system and photovoltaic system connected to the grid in the (t+1)th time period of the cycle meet the above constraints (7) and (8). If they meet, proceed to step S8; otherwise, proceed to step S9. S8. Store the remaining power in the (t+1)th time period within the cycle in an energy storage device, including the remaining average power. And the remaining virtual power is S9. Activate the standby redundant units in the power grid to provide balanced power. And activate the virtual power compensation device to provide virtual power compensation. Make:

3. The power dispatching method based on a virtual power plant according to claim 1 or 2, characterized in that, The resistance and reactance values ​​of the link are pre-stored in memory in the form of a matrix.

4. The power dispatching method based on a virtual power plant according to claim 1 or 2, characterized in that, The sets a(i) and b(i) corresponding to the endpoints are both pre-stored in memory.

5. The power dispatching method based on a virtual power plant according to claim 1 or 2, characterized in that, By obtaining the voltage phase angle θ at endpoint i i The voltage phase angle θ at endpoint j j The voltage phase angle difference θ between endpoints i and j is obtained by calculating the difference between the two. ij .

6. A power dispatching system based on a virtual power plant, operating the power dispatching method for any one of the power plants as described in claims 1-5, characterized in that, The system includes: The first calculation module calculates the power demand of the distribution network endpoints in the (t+1)th time period within the cycle based on the multi-link parameter expression: in, and These represent the average power and virtual power that need to flow into endpoint i during the (t+1)th time period within the period, respectively. They characterize the total value of the average power and virtual power flowing from multiple links connected to endpoint i to endpoint i. in, and Let these represent the average power and virtual power flowing through link ij in the t-th time interval within the period, respectively. This represents the current flowing through link ij during the t-th time interval within the period; Among them, R ij and X ij These represent the resistance and reactance values ​​of link ij, respectively. in, and Let these represent the average power and virtual power flowing out of endpoint i during the t-th time interval within the period, respectively; Where a(i) represents the set of endpoints where endpoint i is the tail endpoint of the link; b(i) represents the set of endpoints where endpoint i is the head endpoint of the link; in, and θ represents the terminal voltages of endpoints i and j of link ij during the t-th time interval within the period; ij Let be the voltage phase angle difference between endpoints i and j; Where ω1, ω2, ω3, and ω4 represent weight coefficients, where ω1+ω2=1 and ω3+ω4=1; Where i = 1, 2…N, j = 1, 2…N, and N is the total number of power grid endpoints; The second calculation module calculates the terminal voltage and current of the distribution network based on the expressions for the terminal voltage and current of the distribution network: The optimization module optimizes equations (1)-(4) based on the water cycle algorithm to obtain the average power required to flow into endpoint i during the (t+1)th time period within the cycle. and virtual power Where i = 1, 2...N, and N is the total number of power grid endpoints; The power supply control module, the virtual power plant, is based on the average power flowing into endpoint i in step S3. and virtual power The prediction results enable the power supply of each endpoint in the power grid during the (t+1)th time period within the cycle, where i = 1, 2, ..., N.

7. The power dispatching system based on a virtual power plant according to claim 6, characterized in that, The system also includes: The third calculation module calculates the average total power P at the grid endpoints during the (t+1)th time period of the cycle. t+1 The total value of virtual power Q t+1 They are respectively: The constraint determination module determines the power of the new energy sources connected to the grid, the grid power, and the average total power value P from step S5 above. t+1 The total value of virtual power Q t+1 The relationship between these factors determines the constraints that the average power and virtual power of the wind-power system and the photovoltaic system connected to the grid in the (t+1)th time period of the new energy system must satisfy: in, and Let represent the average power and virtual power provided by the wind-power system connected to the grid during the (t+1)th time period of the cycle, respectively. and Let these represent the average power and virtual power provided by the grid-connected photovoltaic system in the (t+1)th time period of the cycle, respectively. and These represent the average power and virtual power provided by the power grid in the (t+1)th time period of the cycle, respectively. The judgment module determines whether the average power and virtual power provided by the wind-power system and photovoltaic system connected to the grid in the (t+1)th time period of the cycle meet the above constraints (7)(8). If they meet, the energy storage control module works; if they do not meet, the power balance control module works. The energy storage control module stores the remaining power and electricity in the energy storage device during the (t+1)th time period of the cycle, including the remaining average power and electricity. And the remaining virtual power is The power balancing control module activates the standby redundant units in the power grid to provide balanced power. And activate the virtual power compensation device to provide virtual power compensation. Make:

8. An electronic device comprising a memory and at least one processor; wherein, The memory is used to store one or more computer instructions, characterized in that the one or more computer instructions are executed by the at least one processor to implement the steps of the method according to any one of claims 1-5.

9. A computer-readable storage medium storing one or more computer-readable computer instructions thereon, characterized in that, The one or more computer instructions are executed by the processor to implement the steps of the method according to any one of claims 1-5.

10. A computer program product, comprising a computer program or instructions, characterized in that, When the computer program or instructions are executed by a processor, they implement the steps of the method according to any one of claims 1-5.

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