CN116307642A - Control method for energy scheduling and distribution - Google Patents

Control method for energy scheduling and distribution Download PDF

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CN116307642A
CN116307642A CN202310565562.XA CN202310565562A CN116307642A CN 116307642 A CN116307642 A CN 116307642A CN 202310565562 A CN202310565562 A CN 202310565562A CN 116307642 A CN116307642 A CN 116307642A
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electricity
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CN116307642B (en
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马勇
霍兴国
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Qingdao Aolipuzhi Intelligent Industrial Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/007—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
    • H02J3/0075—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The application provides a control method for energy scheduling and distribution, and relates to the technical field of energy scheduling and control. The method comprises the steps of obtaining electricity consumption data of different electricity consumption units in a dispatching area to form stable electricity consumption types, fluctuation electricity consumption types and occasional electricity consumption types; energy supply information of different energy sources is obtained, integral homogenization scheduling distribution is carried out, and first scheduling distribution result data is formed; according to the first scheduling distribution result data, scheduling distribution based on peak elimination and valley elimination is carried out by combining the wave electricity, so as to form second scheduling distribution result data; according to the second scheduling distribution result data, carrying out retention and digestion treatment by combining the sporadic electricity class to form third scheduling distribution result data; and carrying out energy scheduling control on different electricity utilization types in the scheduling area according to the third scheduling distribution result data. The method can realize efficient and simple energy scheduling control under the condition of reducing energy conversion during scheduling, and is beneficial to saving cost and resources.

Description

Control method for energy scheduling and distribution
Technical Field
The application relates to the technical field of energy scheduling control, in particular to a control method for energy scheduling distribution.
Background
The scheduling control of electric energy is a large-scale energy control project. The manner of scheduling control has an important impact on the utilization of electrical energy. At present, the scheduling control modes of electric energy are various, mainly include real-time scheduling control allocation based on requirements, predictive scheduling of electric energy usage by adopting an algorithm, and the like, but the modes are not limited to reasonable energy allocation according to requirements, so that energy conversion consumption when electric energy of an energy supply source supplies power to a plurality of different types of using units is often ignored, especially, energy consumed for energy conversion of different types for regional scheduling is considerable, and in fact, the requirements on equipment and facilities are relatively high, so that the efficient utilization of energy is not facilitated. In addition, at the electricity utilization end, most electricity utilization has regularity, especially household electricity utilization, and obvious time change trend is presented, so that the change of energy sources is required to be considered in the scheduling process, and if scheduling is performed based on real-time change, the complexity of scheduling is further increased.
Therefore, the control method for energy scheduling distribution is designed, high-efficiency and simple energy scheduling control can be realized under the condition of reducing energy conversion during scheduling, cost and resources are saved, and the method is a problem to be solved urgently at present.
Disclosure of Invention
The embodiment of the application aims to provide a control method for energy scheduling and distribution, which classifies the power consumption units by analyzing the power consumption rules, and effectively ensures the matching degree of energy scheduling and actual power consumption. And meanwhile, different forms of energy scheduling distribution are carried out aiming at different types of electricity utilization units, namely, the overall modularized electricity utilization energy supply scheduling distribution based on the electricity utilization units is carried out on the stable electricity utilization units, so that ineffective consumption of energy conversion to electric energy caused by energy acquisition of the stable electricity utilization units from different energy sources is avoided, the simplification of the mode of guaranteeing the energy supply of the energy sources is considered for the fluctuation electricity utilization units, the scheduling distribution of peak clipping and valley flattening is comprehensively realized on the fluctuation electricity utilization units, the complexity of scheduling functions according to the energy demands of the fluctuation electricity utilization units is greatly reduced, and the consumption and the absorption of the energy sources are realized for the even electricity utilization types, so that the waste of the surplus electric energy is avoided. The whole dispatching is efficiently and simply distributed and controlled based on different electricity utilization types, the utilization rate of energy sources is improved under the condition of reducing energy source conversion as much as possible, and the dispatching cost and the energy source resource are saved.
In a first aspect, an embodiment of the present application provides a control method for energy scheduling and allocation, including obtaining power consumption data of different power consumption units in a scheduling area, and performing category division based on a power consumption rule to form a stable power consumption class, a fluctuation power consumption class and an occasional power consumption class; acquiring energy supply information of different energy sources, and performing integral homogenization scheduling distribution on stable electricity utilization types to form first scheduling distribution result data; determining residual energy data of different energy sources according to the first scheduling distribution result data, and performing scheduling distribution based on peak elimination and valley elimination by combining the wave electricity to form second scheduling distribution result data; according to the second scheduling distribution result data, combining energy supply information of different energy supply sources, determining reserved energy source data of the different energy supply sources, and combining sporadic power utilization types to carry out reserved and digestion treatment to form third scheduling distribution result data; and carrying out energy scheduling control on different electricity utilization types in the scheduling area according to the third scheduling distribution result data.
In the embodiment of the application, the method classifies the electricity consumption rules of the electricity consumption units through analysis, and effectively ensures the matching degree of energy distribution scheduling and actual electricity consumption. And meanwhile, different forms of energy scheduling distribution are carried out aiming at different types of electricity utilization units, namely, the overall modularized electricity utilization energy supply scheduling distribution based on the electricity utilization units is carried out on the stable electricity utilization units, so that ineffective consumption of energy conversion to electric energy caused by energy acquisition of the stable electricity utilization units from different energy sources is avoided, the simplification of the mode of guaranteeing the energy supply of the energy sources is considered for the fluctuation electricity utilization units, the scheduling distribution of peak clipping and valley flattening is comprehensively realized on the fluctuation electricity utilization units, the complexity of scheduling functions according to the energy demands of the fluctuation electricity utilization units is greatly reduced, and the consumption and the absorption of the energy sources are realized for the even electricity utilization types, so that the waste of the surplus electric energy is avoided. The whole dispatching is efficiently and simply distributed and controlled based on different electricity utilization types, the utilization rate of energy sources is improved under the condition of reducing energy source conversion as much as possible, and the dispatching cost and the energy source resource are saved.
As one possible implementation manner, obtaining electricity data of different electricity consumption units in a scheduling area, and classifying the electricity consumption data based on electricity consumption rules to form a stable electricity consumption class, a fluctuation electricity consumption class and an occasional electricity consumption class, including: setting a dispatching electricity utilization period, collecting electricity utilization power data based on the dispatching electricity utilization period of the electricity utilization units in the dispatching area, and classifying according to the following modes: when in continuous dispatching electricity utilization period, the electricity utilization power P of the electricity utilization unit u When the following formula is satisfied, the electricity utilization units are divided into stable electricity utilization types: p (P) u ∈[P u *α 1 ，P u *α 2 ]The method comprises the steps of carrying out a first treatment on the surface of the Wherein alpha is 1 Representing a stable class downdeflection factor, alpha 2 Representing a stable class up-bias factor; when in continuous dispatching electricity utilization period, the electricity utilization power P of the electricity utilization unit u When the following is satisfied, the electricity consumption units are divided into the electricity for wave: presence of P u （t+T）∈[β 1 *P u （t），β 2 *P u （t）]And is continuously established in the time dimension; wherein P is u (T) is a function of the power consumption unit in the continuous scheduling power consumption period relative to time, T is a fluctuation period, beta 1 Representing the fluctuation downshifting factor, beta 2 Representing a fluctuating upward deflection factor; when in continuous dispatching electricity utilization period, the electricity utilization power P of the electricity utilization unit u When the following formula is satisfied, the electricity utilization units are divided into the sporadic electricity utilization classes: p (P) u ∈[γ 1 *P u ，γ 2 *P u ]And adjacent power P appears in the time dimension u A time interval therebetween exceeding a threshold duration t; wherein, the sporadic downcast factor is represented, and the sporadic upcast factor is represented.
In the embodiment of the application, the analysis and judgment of the power consumption units of different types are mainly based on the power data. The analysis and judgment can be performed according to the actual scheduling processing condition. In the application, the judgment of the power utilization unit for stabilizing the power utilization is based on the fact that the power utilization power is kept stable in dimension within a reasonable deviation range, and the condition of power fluctuation caused by equipment abnormality and the like under the actual condition of the power utilization unit is fully considered, so that the power utilization unit for stabilizing the power utilization can be reasonably divided. The power consumption unit of the wave power consumption type is mainly industrial power consumption, ordinary commercial power consumption, household power consumption, time-consuming engineering power consumption and the like which are produced discontinuously for the power consumption rule to be fluctuating. The power consumption wave of different forms often has staggered power consumption peaks and power consumption valleys in the time dimension, and has certain combination characteristics when energy scheduling is carried out. Therefore, the power consumption unit of the wave power consumption type needs to have periodicity in the power consumption. In the case of the sporadic electricity use type electricity use unit, the determination is made by the length of the interval of the non-electricity use period. In addition, since the present application also classifies the power consumption units having the non-power consumption period and regular intervals as sporadic power consumption types, and considers that the wave power consumption types perform fourier transformation in the subsequent scheduling assignment process, the condition of fourier transformation needs to be satisfied sufficiently, and therefore, the judgment of the power consumption units of the wave power consumption types is limited to the power consumption units having the power consumption needs only in the low-peak. Of course, the number of electricity units for sporadic electricity consumption can be increased, and further the consumption of reserved power can be better realized.
As a possible implementation manner, obtaining energy supply information of different energy sources, and performing integral homogenization scheduling distribution on stable electricity consumption class to form first scheduling distribution result data, including: acquiring the total power P of energy supply of different energy supply sources to a dispatching area a，n Stabilizing power P for stabilizing different power utilization units in power utilization class u，k N represents the marks formed by arranging different energy sources according to the order of the total power of energy supply from large to small, k represents the marks formed by arranging different power utilization units in the stable power utilization class according to the order of the stable power utilization from large to small; carrying out integral power proportion analysis based on the number of the power utilization units in the stable power utilization class, and determining energy supply sources corresponding to different power utilization units in the stable power utilization class to form stable energy supply corresponding data; according toAnd stabilizing the energy supply corresponding data, and carrying out power scheduling configuration on different energy supply sources to form first scheduling distribution result data.
In the embodiment of the application, the power consumption unit for stabilizing the power consumption type is subjected to energy scheduling, and the key point is that the functions of the power consumption unit are only from a single energy supply source, so that the situation that energy sources from different sources can be used after being converted due to multi-source energy supply is avoided, the cost of energy conversion is saved to a certain extent, and the utilization rate of energy sources is improved. The power supply source distribution method and the power supply source distribution device are used for distributing energy sources to the power utilization units of the stable power utilization type according to the power demand size and the power proportion of functions in the scheduling range. On the one hand, the mode considers the priority supply principle based on the demand for the stable electricity utilization type electricity utilization unit, and after all, the demand of the power determines the production capacity of the production unit. On the other hand, the energy supply capacity of the function source is considered, so that the function of the power utilization unit is effectively and continuously ensured.
As one possible implementation manner, performing integral power proportion analysis based on the number of power consumption units in the stable power consumption class, determining energy supply sources corresponding to different power consumption units in the stable power consumption class, and forming stable energy supply corresponding data, including: comparing the number of the power utilization units in the stable power utilization type with the number of the energy supply sources: when k is less than or equal to n, the number k of the electricity utilization units in the stable electricity utilization class is taken as a reference, the same number of energy supply sources are selected according to the sequence from large to small, the energy supply sources and the electricity utilization units in the stable electricity utilization class are subjected to the correspondence based on sequence labels, a first corresponding sequence A is formed, and different energy supply sources are provided for different electricity utilization units in the stable electricity utilization class according to the corresponding relation in the first corresponding sequence A, wherein:
Figure SMS_1
。
in the embodiment of the application, of course, the matching degree between the number of energy supply sources and the number of electricity consumption units needs to be considered in the energy scheduling allocation. When the number of the electricity utilization units is smaller than that of the energy supply sources, the number of the electricity utilization units can be used as a reference for the supply body, so that the waste of energy is avoided, the complexity of energy supply is reduced, and resources are saved to a certain extent.
As one possible implementation manner, determining remaining energy data of different energy sources according to the first scheduling allocation result data, and performing scheduling allocation based on peak elimination and valley elimination by combining the wave electricity class to form second scheduling allocation result data, including: according to the first corresponding sequence A, determining the residual energy supply power P of the selected energy supply source after supplying energy to the power utilization units in the corresponding stable power utilization class s1，k Wherein: p (P) s1，k =P a，k -P u，k The method comprises the steps of carrying out a first treatment on the surface of the Acquiring the power consumption of different power consumption units in the wave power consumption class, and analyzing the periodic power consumption rule of the power consumption in the time dimension to form a wave power consumption function P v1，i (t), i is the label of different electricity utilization units in the fluctuation electricity utilization class; according to the wave-powered electric power function P v1，i (t) determining the peak value P of the effective electric power of different electric units in the fluctuation electric power class vh1，i And combining the maximum remaining energy power P in the selected energy supply source sh1 Comparing the peak value P of the effective electric power vh1，i Exceeding the remaining power supply P sh1 Determining a target transformation fluctuating power function P from a fluctuating power function of (1) vm1，r (t), r represents the label of different electricity utilization units which are selected from different electricity utilization units in the fluctuation electricity utilization class and meet the comparison result; using the remaining fluctuation as an electric power function P v1，i (t) determining as a non-transformed fluctuating power function P v1，b (t) non-transformed fluctuating Power function P v1，b (t) the corresponding power utilization unit uses power according to the effective power peak value P vh1，i The closest remaining power supply P s1，k An energy supply for determining the power usage unit; with corresponding non-transformed fluctuating power function P on the energy supply v1，y The phase of (t) is used as the phase limit condition of transformation, y represents the index of corresponding different non-transformation fluctuation power functions on different energy sources, and the residual energy power P is different s1，k As a conversion amplitude limit condition, the target conversion fluctuation power function P is set by taking the number k of the selected energy sources as a conversion sub-function number limit condition vm1，r (t) performing Fourier transform to form k different transform functions F corresponding to the energy supply sources k (t) wherein: for the same energy supply source, the transformation function F k (t) non-transformed fluctuating Power function P v1，y (t) there is a phase difference, and the transformation function F k (t) and non-transformed fluctuating Power function P v1，y (t) any point in time t in the time dimension 0 The values of (2) satisfy the following: f (F) k （t 0 ）+P v1，y （t 0 ）≤P s1，k ，F k1 （t 0 ) For the transformation function F k (t) at time t 0 Take the value of P v1，y （t 0 ) As a non-transformed fluctuating power function P v1，y (t) at time t 0 The value of the above value.
In the embodiment of the application, when the power consumption units of the fluctuation power consumption type are subjected to energy scheduling control, the power requirements of the power consumption units are fully considered, and the conditions and the capabilities of the energy supply sources meeting the energy supply requirements are really analyzed. For the situation that the fluctuation peak value of the power utilization unit exceeds the residual energy supply power of the energy supply source, a reasonable multi-source energy supply mode is adopted, namely the energy demand of the power utilization unit is split into a proper amount of fluctuation demand which can be met by the energy supply source, and on one hand, the fluctuation peak value can be combined with the power utilization demands of other power utilization units of non-changing types to finally form a smoother energy supply demand, so that the scheduling complexity of the energy supply source to the fluctuation demand function of the power utilization unit is effectively reduced. And the surplus energy supply power of the energy supply source is used as a condition for screening whether the requirement of the electricity utilization unit needs to be split, so that the condition that the electricity utilization unit generates multi-source functions in the wave electricity utilization unit can be greatly reduced, after all, only the large-scale or large-scale electricity utilization unit can generate the fluctuation electricity utilization requirement with large power requirement, and the condition that the energy conversion wastes energy due to multi-source scheduling is further reduced, and resources and cost are saved. In addition, compared with other control modes for providing energy scheduling for the split power utilization units in real time, the power utilization sources of the power utilization units are not single, but are relatively fixed, namely the selected energy supply sources, so that the conversion and integration of energy sources are relatively simplified greatly, and the ineffective consumption of the energy sources is reduced to a certain extent.
As a possible implementation manner, according to the second scheduling allocation result data, by combining energy supply information of different energy sources, determining remaining energy source data of the different energy sources, and performing remaining and consuming processing by combining occasional electricity types, to form third scheduling allocation result data, including: according to the transformation function F k (t) and non-transformed fluctuating Power function P v1，y (t) determining the reserve power P corresponding to different energy sources in the time dimension l，k (t) wherein:
P l，k （t）=P s，k - F k （t）- P v1，y (t); and carrying out consumption distribution on the reserved power by combining the reserved power with the power demand time and the power demand quantity of the power utilization units in the sporadic power utilization class to form third scheduling distribution result data.
In the embodiment of the application, the electricity utilization units of the sporadic electricity utilization type can carry out the dissipation of reserved power for each energy supply source in real time according to the dispatching and distributing results, so that the utilization rate of energy sources is improved, and the electricity utilization requirements of the electricity utilization units are fully ensured. And the reserved power is basically deterministic and regular, and a scheduling scheme can be quickly established for the power utilization scheduling of the sporadic power utilization unit, so that the scheduling control efficiency is greatly improved.
As one possible implementation manner, performing integral power proportion analysis based on the number of power consumption units in the stable power consumption class, determining energy supply sources corresponding to different power consumption units in the stable power consumption class, and forming stable energy supply corresponding data, including: comparing the number of the power utilization units in the stable power utilization type with the number of the energy supply sources: when k > n, determining a stable power ratio a between different energy sources 1 :a 2 ：…：a n The method comprises the steps of carrying out a first treatment on the surface of the Wherein the method comprises the steps of，a 1 、a 2 、…、a n All are percentage parameters; extracting the first n power utilization units in the stable power utilization class, which are arranged in sequence from large to small according to the stable power utilization power, and determining the stable power utilization proportion u of the n power utilization units 1 ：u 2 ：…：u n Wherein u is 1 、u 2 、…、u n All are percentage parameters; establishing the corresponding relation between the energy supply source and the electricity utilization unit according to the arrangement sequence of the power values from large to small, and determining the power proportion difference w 1 ，w 2 ，…，w n Wherein w is n =a n -u n The method comprises the steps of carrying out a first treatment on the surface of the And repeatedly carrying out correspondence between the power utilization units after the n power utilization units which are arranged in the stable power utilization class according to the order from large to small in power utilization power and the energy supply source according to the order of the power ratio difference, and combining the correspondence relation between the first n power utilization units and the energy supply source to form a second corresponding sequence B.
In the embodiment of the application, similarly, for the case that the number of the power consumption units of the stable power consumption type exceeds the number of the energy supply sources, after one-time distribution is performed based on the number of the energy supply sources, the remaining power consumption units of the stable power consumption type are distributed according to the difference between the power distribution ratio of the energy supply sources and the power consumption ratio of the power consumption units, so that the function of the energy supply sources can be effectively and reasonably distributed based on the power ratio, and the guarantee of the power consumption function of the power consumption units can be realized under the condition that the number of the power consumption units of the stable power consumption type is large.
As one possible implementation manner, determining remaining energy data of different energy sources according to the first scheduling allocation result data, and performing scheduling allocation based on peak elimination and valley elimination by combining the wave electricity class to form second scheduling allocation result data, including: according to the second corresponding sequence B, determining the residual energy supply power P of all energy supply sources after supplying energy to the power utilization units in the corresponding stable power utilization class s2，n Wherein:
Figure SMS_2
x represents different electricity utilization units corresponding to different energy sourcesA reference numeral; acquiring the power consumption of different power consumption units in the wave power consumption class, and analyzing the periodic power consumption rule of the power consumption in the time dimension to form a wave power consumption function P v2，i (t), i is the label of different electricity utilization units in the fluctuation electricity utilization class; according to the wave-powered electric power function P v2，i (t) determining the peak value P of the effective electric power of different electric units in the fluctuation electric power class vh2，i And combining the maximum remaining energy power P in the selected energy supply source sh2 Comparing the peak value P of the effective electric power vh2，i Exceeding the remaining power supply P sh2 Determining a target transformation fluctuating power function P from a fluctuating power function of (1) vm2，r (t), r represents the label of different electricity utilization units which are selected from different electricity utilization units in the fluctuation electricity utilization class and meet the comparison result; using the remaining fluctuation as an electric power function P v2，i (t) determining as a non-transformed fluctuating power function P v2，b (t) non-transformed fluctuating Power function P v2，b (t) the corresponding power utilization unit uses power according to the effective power peak value P vh2，i The closest remaining power supply P s2，n An energy supply for determining the power usage unit; with corresponding non-transformed fluctuating power function P on the energy supply v2，y The phase of (t) is used as the phase limit condition of transformation, y represents the index of corresponding different non-transformation fluctuation power functions on different energy sources, and the residual energy power P is different s2，n As a conversion amplitude limit condition, the target conversion fluctuation power function P is set by taking the number n of the selected energy sources as a conversion sub-function number limit condition vm2，r (t) performing Fourier transform to form n different transform functions F corresponding to the energy supply sources n (t) wherein: for the same energy supply source, the transformation function F n (t) non-transformed fluctuating Power function P v2，y (t) there is a phase difference, and the transformation function F n (t) and non-transformed fluctuating Power function P v2，y (t) any point in time t in the time dimension 1 The values of (2) satisfy the following: f (F) n （t 1 ）+P v2，y （t 1 ）≤P s2，n ，F n （t 1 ) For the transformation function F n (t) at time t 1 Take the value of P v2，y （t 1 ) As a non-transformed fluctuating power function P v2，y (t) at time t 1 The value of the above value.
In the embodiment of the application, similarly, when the power consumption units of the fluctuation power consumption type are subjected to energy scheduling control, the power requirements of the power consumption units are fully considered, and the conditions and the capabilities of the energy supply sources for meeting the energy supply requirements are really analyzed. For the situation that the fluctuation peak value of the power utilization unit exceeds the residual energy supply power of the energy supply source, a reasonable multi-source energy supply mode is adopted, namely the energy demand of the power utilization unit is split into a proper amount of fluctuation demand which can be met by the energy supply source, and on one hand, the fluctuation peak value can be combined with the power utilization demands of other power utilization units of non-changing types to finally form a smoother energy supply demand, so that the scheduling complexity of the energy supply source to the fluctuation demand function of the power utilization unit is effectively reduced. And the surplus energy supply power of the energy supply source is used as a condition for screening whether the requirement of the electricity utilization unit needs to be split, so that the condition that the electricity utilization unit generates multi-source functions in the wave electricity utilization unit can be greatly reduced, after all, only the large-scale or large-scale electricity utilization unit can generate the fluctuation electricity utilization requirement with large power requirement, and the condition that the energy conversion wastes energy due to multi-source scheduling is further reduced, and resources and cost are saved. In addition, compared with other control modes for providing energy scheduling for the split power utilization units in real time, the power utilization sources of the power utilization units are not single, but are relatively fixed, namely the selected energy supply sources, so that the conversion and integration of energy sources are relatively simplified greatly, and the ineffective consumption of the energy sources is reduced to a certain extent.
As a possible implementation manner, according to the second scheduling allocation result data, by combining energy supply information of different energy sources, determining remaining energy source data of the different energy sources, and performing remaining and consuming processing by combining occasional electricity types, to form third scheduling allocation result data, including: according to the transformation function F n (t) and notTransforming the fluctuating power function P v2，y (t) determining the reserve power P corresponding to different energy sources in the time dimension l，n (t) wherein:
P l，n （t）=P s，n - F n （t）- P v2，y (t); and carrying out consumption distribution on the reserved power by combining the reserved power with the power demand time and the power demand quantity of the power utilization units in the sporadic power utilization class to form third scheduling distribution result data.
In the embodiment of the application, the electricity utilization units of the sporadic electricity utilization type can carry out the dissipation of reserved power for each energy supply source in real time according to the dispatching and distributing results, so that the utilization rate of energy sources is improved, and the electricity utilization requirements of the electricity utilization units are fully ensured. And the reserved power is basically deterministic and regular, and a scheduling scheme can be quickly established for the power utilization scheduling of the sporadic power utilization unit, so that the scheduling control efficiency is greatly improved.
As a possible implementation manner, when energy scheduling control is performed on different electricity utilization types in a scheduling area, an electricity utilization unit corresponding to a target transformation fluctuation power function needs to synchronously supply energy corresponding to the transformation function.
In the embodiment of the application, it can be understood that, because the target transformation function is subjected to demand splitting, energy supply is required to be synchronously performed according to the time change rule of the splitting function during the function, so that energy supply can be ensured to meet demands, and the complexity of scheduling integration caused by asynchronization is avoided.
The control method for energy scheduling and distribution provided by the embodiment has the beneficial effects that:
according to the method, the electricity utilization rule of the electricity utilization unit is analyzed to classify the electricity utilization units, so that the matching degree of energy distribution scheduling and actual electricity consumption is effectively ensured. And meanwhile, different forms of energy scheduling distribution are carried out aiming at different types of electricity utilization units, namely, the overall modularized electricity utilization energy supply scheduling distribution based on the electricity utilization units is carried out on the stable electricity utilization units, so that ineffective consumption of energy conversion to electric energy caused by energy acquisition of the stable electricity utilization units from different energy sources is avoided, the simplification of the mode of guaranteeing the energy supply of the energy sources is considered for the fluctuation electricity utilization units, the scheduling distribution of peak clipping and valley flattening is comprehensively realized on the fluctuation electricity utilization units, the complexity of scheduling functions according to the energy demands of the fluctuation electricity utilization units is greatly reduced, and the consumption and the absorption of the energy sources are realized for the even electricity utilization types, so that the waste of the surplus electric energy is avoided. The whole dispatching is efficiently and simply distributed and controlled based on different electricity utilization types, the utilization rate of energy sources is improved under the condition of reducing energy source conversion as much as possible, and the dispatching cost and the energy source resource are saved.
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Fig. 1 is a step diagram of a control method for energy scheduling and allocation according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
The scheduling control of electric energy is a large-scale energy control project. The manner of scheduling control has an important impact on the utilization of electrical energy. At present, the scheduling control modes of electric energy are various, mainly include real-time scheduling control allocation based on requirements, predictive scheduling of electric energy usage by adopting an algorithm, and the like, but the modes are not limited to reasonable energy allocation according to requirements, so that energy conversion consumption when electric energy of an energy supply source supplies power to a plurality of different types of using units is often ignored, especially, energy consumed for energy conversion of different types for regional scheduling is considerable, and in fact, the requirements on equipment and facilities are relatively high, so that the efficient utilization of energy is not facilitated. In addition, at the electricity utilization end, most electricity utilization has regularity, especially household electricity utilization, and obvious time change trend is presented, so that the change of energy sources is required to be considered in the scheduling process, and if scheduling is performed based on real-time change, the complexity of scheduling is further increased.
Referring to fig. 1, an embodiment of the present application provides a control method for energy scheduling and allocation. According to the method, the electricity utilization rule of the electricity utilization unit is analyzed to classify the electricity utilization units, so that the matching degree of energy distribution scheduling and actual electricity consumption is effectively ensured. And meanwhile, different forms of energy scheduling distribution are carried out aiming at different types of electricity utilization units, namely, the overall modularized electricity utilization energy supply scheduling distribution based on the electricity utilization units is carried out on the stable electricity utilization units, so that ineffective consumption of energy conversion to electric energy caused by energy acquisition of the stable electricity utilization units from different energy sources is avoided, the simplification of the mode of guaranteeing the energy supply of the energy sources is considered for the fluctuation electricity utilization units, the scheduling distribution of peak clipping and valley flattening is comprehensively realized on the fluctuation electricity utilization units, the complexity of scheduling functions according to the energy demands of the fluctuation electricity utilization units is greatly reduced, and the consumption and the absorption of the energy sources are realized for the even electricity utilization types, so that the waste of the surplus electric energy is avoided. The whole dispatching is efficiently and simply distributed and controlled based on different electricity utilization types, the utilization rate of energy sources is improved under the condition of reducing energy source conversion as much as possible, and the dispatching cost and the energy source resource are saved.
The control method for energy scheduling and distribution comprises the following main steps:
s1: and acquiring electricity data of different electricity utilization units in the dispatching area, and classifying the electricity utilization units based on electricity utilization rules to form stable electricity utilization types, fluctuation electricity utilization types and sporadic electricity utilization types.
The method comprises the steps of setting a dispatching electricity utilization period, collecting electricity utilization power data based on the dispatching electricity utilization period of electricity utilization units in a dispatching area, and classifying according to the following modes: when in continuous dispatching electricity utilization period, the electricity utilization power P of the electricity utilization unit u When the following formula is satisfied, the electricity utilization units are divided into stable electricity utilization types: p (P) u ∈[P u *α 1 ，P u *α 2 ]The method comprises the steps of carrying out a first treatment on the surface of the Wherein alpha is 1 Representing a stable class downdeflection factor, alpha 2 Representing a stable class up-bias factor; when in continuous dispatching electricity utilization period, the electricity utilization power P of the electricity utilization unit u When the following is satisfied, the electricity consumption units are divided into the electricity for wave: presence of P u （t+T）∈[β 1 *P u （t），β 2 *P u （t）]And is continuously established in the time dimension; wherein P is u (T) is a function of the power consumption unit in the continuous scheduling power consumption period relative to time, T is a fluctuation period, beta 1 Representing the fluctuation downshifting factor, beta 2 Representing a fluctuating upward deflection factor; when in continuous dispatching electricity utilization period, the electricity utilization power P of the electricity utilization unit u When the following formula is satisfied, the electricity utilization units are divided into the sporadic electricity utilization classes: p (P) u ∈[γ 1 *P u ，γ 2 *P u ]And adjacent power P appears in the time dimension u A time interval therebetween exceeding a threshold duration t; wherein, the sporadic downcast factor is represented, and the sporadic upcast factor is represented.
The analysis and judgment of the different types of electricity units are mainly based on the power data. The analysis and judgment can be performed according to the actual scheduling processing condition. In the application, the judgment of the power utilization unit for stabilizing the power utilization is based on the fact that the power utilization power is kept stable in dimension within a reasonable deviation range, and the condition of power fluctuation caused by equipment abnormality and the like under the actual condition of the power utilization unit is fully considered, so that the power utilization unit for stabilizing the power utilization can be reasonably divided. The power consumption unit of the wave power consumption type is mainly industrial power consumption, ordinary commercial power consumption, household power consumption, time-consuming engineering power consumption and the like which are produced discontinuously for the power consumption rule to be fluctuating. The power consumption wave of different forms often has staggered power consumption peaks and power consumption valleys in the time dimension, and has certain combination characteristics when energy scheduling is carried out. Therefore, the power consumption unit of the wave power consumption type needs to have periodicity in the power consumption. In the case of the sporadic electricity use type electricity use unit, the determination is made by the length of the interval of the non-electricity use period. In addition, since the present application also classifies the power consumption units having the non-power consumption period and regular intervals as sporadic power consumption types, and considers that the wave power consumption types perform fourier transformation in the subsequent scheduling assignment process, the condition of fourier transformation needs to be satisfied sufficiently, and therefore, the judgment of the power consumption units of the wave power consumption types is limited to the power consumption units having the power consumption needs only in the low-peak. Of course, the number of electricity units for sporadic electricity consumption can be increased, and further the consumption of reserved power can be better realized.
S2: and acquiring energy supply information of different energy sources, and performing integral homogenization scheduling distribution on the stable electricity utilization type to form first scheduling distribution result data.
Energy supply information of different energy sources is obtained, integral homogenization scheduling distribution is carried out on stable electricity consumption types, first scheduling distribution result data is formed, and the method comprises the following steps: acquiring the total power P of energy supply of different energy supply sources to a dispatching area a，n Stabilizing power P for stabilizing different power utilization units in power utilization class u，k N represents the marks formed by arranging different energy sources according to the order of the total power of energy supply from large to small, k represents the marks formed by arranging different power utilization units in the stable power utilization class according to the order of the stable power utilization from large to small; carrying out integral power proportion analysis based on the number of the power utilization units in the stable power utilization class, and determining energy supply sources corresponding to different power utilization units in the stable power utilization class to form stable energy supply corresponding data; and carrying out power scheduling configuration on different energy sources according to the stable energy supply corresponding data to form first scheduling distribution result data.
The energy scheduling of the power utilization units for stabilizing the power utilization types is focused on the fact that the functions of the power utilization units come from a single energy supply source, so that the situation that energy sources from different sources can be used after being converted due to multi-source energy supply is avoided, the cost of energy conversion is saved to a certain extent, and the utilization rate of energy sources is improved. The power supply source distribution method and the power supply source distribution device are used for distributing energy sources to the power utilization units of the stable power utilization type according to the power demand size and the power proportion of functions in the scheduling range. On the one hand, the mode considers the priority supply principle based on the demand for the stable electricity utilization type electricity utilization unit, and after all, the demand of the power determines the production capacity of the production unit. On the other hand, the energy supply capacity of the function source is considered, so that the function of the power utilization unit is effectively and continuously ensured.
The method for determining the energy supply sources corresponding to different power utilization units in the stable power utilization class based on the integral power proportion analysis is carried out on the basis of the number of the power utilization units in the stable power utilization class, and stable energy supply corresponding data is formed, and comprises the following steps: comparing the number of the power utilization units in the stable power utilization type with the number of the energy supply sources: when k is less than or equal to n, the number k of the electricity utilization units in the stable electricity utilization class is taken as a reference, the same number of energy supply sources are selected according to the sequence from large to small, the energy supply sources and the electricity utilization units in the stable electricity utilization class are subjected to the correspondence based on sequence labels, a first corresponding sequence A is formed, and different energy supply sources are provided for different electricity utilization units in the stable electricity utilization class according to the corresponding relation in the first corresponding sequence A, wherein:
Figure SMS_3
。
in the energy scheduling allocation, the matching degree between the number of energy supply sources and the number of electricity consumption units needs to be considered. When the number of the electricity utilization units is smaller than that of the energy supply sources, the number of the electricity utilization units can be used as a reference for the supply body, so that the waste of energy is avoided, the complexity of energy supply is reduced, and resources are saved to a certain extent.
In addition, carry out integral power proportion analysis based on the quantity of the power consumption units in the stable power consumption class, confirm the energy supply source that different power consumption units correspond in the stable power consumption class, form stable energy supply corresponding data, still include: comparing the number of the power utilization units in the stable power utilization type with the number of the energy supply sources: when k > n, determining a stable power ratio a between different energy sources 1 :a 2 ：…：a n The method comprises the steps of carrying out a first treatment on the surface of the Wherein a is 1 、a 2 、…、a n All are percentage parameters; extracting the first n power utilization units in the stable power utilization class, which are arranged in sequence from large to small according to the stable power utilization power, and determining the stable power utilization proportion u of the n power utilization units 1 ：u 2 ：…：u n Wherein u is 1 、u 2 、…、u n All are percentage parameters; establishing the corresponding relation between the energy supply source and the electricity utilization unit according to the arrangement sequence of the power values from large to small, and determining the power proportion difference w 1 ，w 2 ，…，w n Wherein w is n =a n -u n The method comprises the steps of carrying out a first treatment on the surface of the And repeatedly carrying out correspondence between the power utilization units after the n power utilization units which are arranged in the stable power utilization class according to the order from large to small in power utilization power and the energy supply source according to the order of the power ratio difference, and combining the correspondence relation between the first n power utilization units and the energy supply source to form a second corresponding sequence B.
Similarly, for the case that the number of the power utilization units of the stable power utilization class exceeds the number of the energy supply sources, after one-time distribution is performed based on the number of the energy supply sources, the remaining power utilization units of the stable power utilization class are subjected to scheduling distribution according to the difference between the power distribution ratio of the energy supply sources and the power utilization ratio of the power utilization units, so that the functions of the energy supply sources can be effectively and reasonably distributed based on the power ratio, and the guarantee of the power utilization functions of the power utilization units can be realized under the condition that the number of the power utilization units of the stable power utilization class is large.
S3: and determining the remaining energy data of different energy sources according to the first scheduling distribution result data, and performing scheduling distribution based on peak elimination and valley elimination by combining the wave electricity to form second scheduling distribution result data.
Correspondingly, for the case that the number of the power utilization units in the stable power utilization class is k, determining the remaining energy data of different energy sources according to the first scheduling distribution result data, and performing scheduling distribution based on peak elimination and valley elimination by combining the wave power utilization class to form second scheduling distribution result data, wherein the method comprises the following steps: according to the first corresponding sequence A, determining that the selected energy supply source is corresponding to the directionRemaining power P after power supply of power utilization unit in power utilization class s1，k Wherein: p (P) s1，k =P a，k -P u，k The method comprises the steps of carrying out a first treatment on the surface of the Acquiring the power consumption of different power consumption units in the wave power consumption class, and analyzing the periodic power consumption rule of the power consumption in the time dimension to form a wave power consumption function P v1，i (t), i is the label of different electricity utilization units in the fluctuation electricity utilization class; according to the wave-powered electric power function P v1，i (t) determining the peak value P of the effective electric power of different electric units in the fluctuation electric power class vh1，i And combining the maximum remaining energy power P in the selected energy supply source sh1 Comparing the peak value P of the effective electric power vh1，i Exceeding the remaining power supply P sh1 Determining a target transformation fluctuating power function P from a fluctuating power function of (1) vm1，r (t), r represents the label of different electricity utilization units which are selected from different electricity utilization units in the fluctuation electricity utilization class and meet the comparison result; using the remaining fluctuation as an electric power function P v1，i (t) determining as a non-transformed fluctuating power function P v1，b (t) non-transformed fluctuating Power function P v1，b (t) the corresponding power utilization unit uses power according to the effective power peak value P vh1，i The closest remaining power supply P s1，k An energy supply for determining the power usage unit; with corresponding non-transformed fluctuating power function P on the energy supply v1，y The phase of (t) is used as the phase limit condition of transformation, y represents the index of corresponding different non-transformation fluctuation power functions on different energy sources, and the residual energy power P is different s1，k As a conversion amplitude limit condition, the target conversion fluctuation power function P is set by taking the number k of the selected energy sources as a conversion sub-function number limit condition vm1，r (t) performing Fourier transform to form k different transform functions F corresponding to the energy supply sources k (t) wherein: for the same energy supply source, the transformation function F k (t) non-transformed fluctuating Power function P v1，y (t) there is a phase difference, and the transformation function F k (t) and non-transformed fluctuating Power function P v1，y （t）At any point in time t in the time dimension 0 The values of (2) satisfy the following: f (F) k （t 0 ）+P v1，y （t 0 ）≤P s1，k ，F k1 （t 0 ) For the transformation function F k (t) at time t 0 Take the value of P v1，y （t 0 ) As a non-transformed fluctuating power function P v1，y (t) at time t 0 The value of the above value.
When the power utilization units of the fluctuation power utilization type are subjected to energy scheduling control, the power requirements of the power utilization units are fully considered, and the conditions and the capabilities of the energy supply sources meeting the energy supply requirements are practically analyzed. For the situation that the fluctuation peak value of the power utilization unit exceeds the residual energy supply power of the energy supply source, a reasonable multi-source energy supply mode is adopted, namely the energy demand of the power utilization unit is split into a proper amount of fluctuation demand which can be met by the energy supply source, and on one hand, the fluctuation peak value can be combined with the power utilization demands of other power utilization units of non-changing types to finally form a smoother energy supply demand, so that the scheduling complexity of the energy supply source to the fluctuation demand function of the power utilization unit is effectively reduced. And the surplus energy supply power of the energy supply source is used as a condition for screening whether the requirement of the electricity utilization unit needs to be split, so that the condition that the electricity utilization unit generates multi-source functions in the wave electricity utilization unit can be greatly reduced, after all, only the large-scale or large-scale electricity utilization unit can generate the fluctuation electricity utilization requirement with large power requirement, and the condition that the energy conversion wastes energy due to multi-source scheduling is further reduced, and resources and cost are saved. In addition, compared with other control modes for providing energy scheduling for the split power utilization units in real time, the power utilization sources of the power utilization units are not single, but are relatively fixed, namely the selected energy supply sources, so that the conversion and integration of energy sources are relatively simplified greatly, and the ineffective consumption of the energy sources is reduced to a certain extent.
In addition, for the case that the number of the power utilization units in the stable power utilization class is greater than n, correspondingly, determining the remaining energy data of different energy sources according to the first scheduling distribution result data, and combining the wave power utilization class to perform cancellation-based operationThe peak-to-valley scheduling assignment forms second scheduling assignment result data, including: according to the second corresponding sequence B, determining the residual energy supply power P of all energy supply sources after supplying energy to the power utilization units in the corresponding stable power utilization class s2，n Wherein:
Figure SMS_4
x represents the labels of different power utilization units corresponding to different energy sources; acquiring the power consumption of different power consumption units in the wave power consumption class, and analyzing the periodic power consumption rule of the power consumption in the time dimension to form a wave power consumption function P v2，i (t), i is the label of different electricity utilization units in the fluctuation electricity utilization class; according to the wave-powered electric power function P v2，i (t) determining the peak value P of the effective electric power of different electric units in the fluctuation electric power class vh2，i And combining the maximum remaining energy power P in the selected energy supply source sh2 Comparing the peak value P of the effective electric power vh2，i Exceeding the remaining power supply P sh2 Determining a target transformation fluctuating power function P from a fluctuating power function of (1) vm2，r (t), r represents the label of different electricity utilization units which are selected from different electricity utilization units in the fluctuation electricity utilization class and meet the comparison result; using the remaining fluctuation as an electric power function P v2，i (t) determining as a non-transformed fluctuating power function P v2，b (t) non-transformed fluctuating Power function P v2，b (t) the corresponding power utilization unit uses power according to the effective power peak value P vh2，i The closest remaining power supply P s2，n An energy supply for determining the power usage unit; with corresponding non-transformed fluctuating power function P on the energy supply v2，y The phase of (t) is used as the phase limit condition of transformation, y represents the index of corresponding different non-transformation fluctuation power functions on different energy sources, and the residual energy power P is different s2，n As a conversion amplitude limit condition, the target conversion fluctuation power function P is set by taking the number n of the selected energy sources as a conversion sub-function number limit condition vm2，r (t) Fourier transforming to form n non-corresponding energy sourcesCo-transformation function F n (t) wherein: for the same energy supply source, the transformation function F n (t) non-transformed fluctuating Power function P v2，y (t) there is a phase difference, and the transformation function F n (t) and non-transformed fluctuating Power function P v2，y (t) any point in time t in the time dimension 1 The values of (2) satisfy the following: f (F) n （t 1 ）+P v2，y （t 1 ）≤P s2，n ，F n （t 1 ) For the transformation function F n (t) at time t 1 Take the value of P v2，y （t 1 ) As a non-transformed fluctuating power function P v2，y (t) at time t 1 The value of the above value.
When the power utilization units of the fluctuation power utilization type are subjected to energy scheduling control, the power requirements of the power utilization units are fully considered, and the conditions and the capabilities of the energy supply sources meeting the energy supply requirements are practically analyzed. For the situation that the fluctuation peak value of the power utilization unit exceeds the residual energy supply power of the energy supply source, a reasonable multi-source energy supply mode is adopted, namely the energy demand of the power utilization unit is split into a proper amount of fluctuation demand which can be met by the energy supply source, and on one hand, the fluctuation peak value can be combined with the power utilization demands of other power utilization units of non-changing types to finally form a smoother energy supply demand, so that the scheduling complexity of the energy supply source to the fluctuation demand function of the power utilization unit is effectively reduced. And the surplus energy supply power of the energy supply source is used as a condition for screening whether the requirement of the electricity utilization unit needs to be split, so that the condition that the electricity utilization unit generates multi-source functions in the wave electricity utilization unit can be greatly reduced, after all, only the large-scale or large-scale electricity utilization unit can generate the fluctuation electricity utilization requirement with large power requirement, and the condition that the energy conversion wastes energy due to multi-source scheduling is further reduced, and resources and cost are saved. In addition, compared with other control modes for providing energy scheduling for the split power utilization units in real time, the power utilization sources of the power utilization units are not single, but are relatively fixed, namely the selected energy supply sources, so that the conversion and integration of energy sources are relatively simplified greatly, and the ineffective consumption of the energy sources is reduced to a certain extent.
S4: and determining the reserved energy source data of different energy source supply sources according to the second scheduling distribution result data in combination with the energy supply information of different energy source supply sources, and carrying out reserved and digestion processing in combination with the sporadic power utilization class to form third scheduling distribution result data.
For the case that the number of the electricity utilization units in the stable electricity utilization class is k, according to the second scheduling distribution result data, combining energy supply information of different energy supply sources, determining reserved energy source data of the different energy supply sources, and combining sporadic electricity utilization class to carry out reserved and digestion processing to form third scheduling distribution result data, wherein the method comprises the following steps: according to the transformation function F k (t) and non-transformed fluctuating Power function P v1，y (t) determining the reserve power P corresponding to different energy sources in the time dimension l，k (t) wherein:
P l，k （t）=P s，k - F k （t）- P v1，y (t); and carrying out consumption distribution on the reserved power by combining the reserved power with the power demand time and the power demand quantity of the power utilization units in the sporadic power utilization class to form third scheduling distribution result data.
The power utilization unit of the sporadic power utilization class can carry out the dissipation of reserved power for each energy supply source in real time according to the dispatching and distributing result, the utilization rate of energy sources is improved, and the power utilization requirement of the power utilization unit is fully ensured. And the reserved power is basically deterministic and regular, and a scheduling scheme can be quickly established for the power utilization scheduling of the sporadic power utilization unit, so that the scheduling control efficiency is greatly improved.
For the case that the number of the power utilization units in the stable power utilization class is greater than n, that is, according to the second scheduling distribution result data, the energy supply information of different energy sources is combined, the reserved energy source data of the different energy sources is determined, and the reserved energy source data is combined with the sporadic power utilization class to carry out reserved and consumed processing, so as to form third scheduling distribution result data, including: according to the transformation function F n (t) and non-transformed fluctuating Power function P v2，y (t) determining the reserve power P corresponding to different energy sources in the time dimension l，n (t) wherein:
P l，n （t）=P s，n - F n （t）- P v2，y (t); and carrying out consumption distribution on the reserved power by combining the reserved power with the power demand time and the power demand quantity of the power utilization units in the sporadic power utilization class to form third scheduling distribution result data.
The power utilization unit of the sporadic power utilization class can carry out the dissipation of reserved power for each energy supply source in real time according to the dispatching and distributing result, the utilization rate of energy sources is improved, and the power utilization requirement of the power utilization unit is fully ensured. And the reserved power is basically deterministic and regular, and a scheduling scheme can be quickly established for the power utilization scheduling of the sporadic power utilization unit, so that the scheduling control efficiency is greatly improved.
S5: and carrying out energy scheduling control on different electricity utilization types in the scheduling area according to the third scheduling distribution result data.
When energy scheduling control is carried out on different electricity utilization types in a scheduling area, an electricity utilization unit corresponding to a target transformation fluctuation power function needs to synchronously supply energy corresponding to the transformation function.
It can be understood that, because the target transformation function is subjected to demand splitting, energy supply is required to be synchronously performed according to the time change rule of the splitting function during the function, so that the energy supply can be ensured to meet the demand, and the complexity of scheduling integration caused by asynchronization is avoided.
In summary, the control method for energy scheduling and distribution provided by the embodiment of the application has the following beneficial effects:
according to the method, the electricity utilization rule of the electricity utilization unit is analyzed to classify the electricity utilization units, so that the matching degree of energy distribution scheduling and actual electricity consumption is effectively ensured. And meanwhile, different forms of energy scheduling distribution are carried out aiming at different types of electricity utilization units, namely, the overall modularized electricity utilization energy supply scheduling distribution based on the electricity utilization units is carried out on the stable electricity utilization units, so that ineffective consumption of energy conversion to electric energy caused by energy acquisition of the stable electricity utilization units from different energy sources is avoided, the simplification of the mode of guaranteeing the energy supply of the energy sources is considered for the fluctuation electricity utilization units, the scheduling distribution of peak clipping and valley flattening is comprehensively realized on the fluctuation electricity utilization units, the complexity of scheduling functions according to the energy demands of the fluctuation electricity utilization units is greatly reduced, and the consumption and the absorption of the energy sources are realized for the even electricity utilization types, so that the waste of the surplus electric energy is avoided. The whole dispatching is efficiently and simply distributed and controlled based on different electricity utilization types, the utilization rate of energy sources is improved under the condition of reducing energy source conversion as much as possible, and the dispatching cost and the energy source resource are saved.
In the present application, "at least one" means one or more, and "a plurality" means two or more. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b, or c may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or plural.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
Those of ordinary skill in the art will appreciate that the elements and method steps of the examples described in connection with the embodiments disclosed herein can be implemented as electronic hardware, or as a combination of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the invention, which are described in detail and are not to be construed as limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.

Claims (10)

1. A control method for energy scheduling and allocation, comprising:
acquiring electricity data of different electricity utilization units in a dispatching area, and classifying the electricity utilization units based on electricity utilization rules to form stable electricity utilization types, fluctuation electricity utilization types and sporadic electricity utilization types;
acquiring energy supply information of different energy sources, and performing integral homogenization scheduling distribution on the stable electricity consumption class to form first scheduling distribution result data;
determining residual energy data of different energy supply sources according to the first scheduling distribution result data, and carrying out scheduling distribution based on peak elimination and valley elimination by combining the fluctuation electricity consumption class to form second scheduling distribution result data;
according to the second scheduling distribution result data, combining energy supply information of different energy supply sources, determining reserved energy source data of the different energy supply sources, and combining the sporadic electricity to carry out reserved and digestion processing to form third scheduling distribution result data;
And carrying out energy scheduling control on different electricity utilization types in the scheduling area according to the third scheduling distribution result data.
2. The method for controlling energy scheduling and distribution according to claim 1, wherein the obtaining electricity data of different electricity units in the scheduling area and classifying the electricity units based on electricity usage rules to form a stable electricity usage class, a fluctuation electricity usage class and a sporadic electricity usage class comprises:
setting a dispatching electricity utilization period, collecting electricity utilization power data based on the dispatching electricity utilization period for the electricity utilization units in the dispatching area, and classifying according to the following modes:
when in the continuous scheduling electricity utilization period, the electricity utilization power P of the electricity utilization unit u Dividing the electricity consumption units into the stable electricity consumption classes when the following formula is satisfied:
P u ∈[P u *α 1 ，P u *α 2 ]the method comprises the steps of carrying out a first treatment on the surface of the Wherein alpha is 1 Representing a stable class downdeflection factor, alpha 2 Representing a stable class up-bias factor;
when in the continuous scheduling electricity utilization period, the electricity utilization power P of the electricity utilization unit u Dividing the electricity utilization units into the fluctuation electricity utilization class when the following formula is satisfied:
presence of P u （t+T）∈[β 1 *P u （t），β 2 *P u （t）]And is continuously established in the time dimension; wherein P is u (T) is a function of the power usage units over time during successive ones of the scheduled power usage periods, T is a period of fluctuation, beta 1 Representing the fluctuation downshifting factor, beta 2 Representing a fluctuating upward deflection factor;
when in the continuous scheduling electricity utilization period, the electricity utilization power P of the electricity utilization unit u Dividing the electricity utilization units into the sporadic electricity utilization classes when the following formula is satisfied:
P u ∈[γ 1 *P u ，γ 2 *P u ]and adjacent to the power P occurs in the time dimension u A time interval therebetween exceeding a threshold duration t; wherein, the sporadic downcast factor is represented by the sporadic upper partAnd a bias factor.
3. The method for controlling energy scheduling and distribution according to claim 2, wherein the obtaining energy supply information of different energy sources, performing integral homogenization scheduling and distribution on the stable electricity consumption class, and forming first scheduling and distribution result data includes:
acquiring the total power P of energy supply of different energy supply sources to the dispatching area a，n The stable electric power P of different electric units in the stable electric power class u，k N represents the number formed by arranging different energy sources according to the order of the total power of energy supply from large to small, k represents the number formed by arranging different power utilization units in the stable power utilization class according to the order of the stable power utilization from large to small;
Performing integral power proportion analysis based on the number of the power utilization units in the stable power utilization class, determining the energy supply sources corresponding to different power utilization units in the stable power utilization class, and forming stable energy supply corresponding data;
and carrying out power scheduling configuration on different energy supply sources according to the stable energy supply corresponding data to form the first scheduling distribution result data.
4. The method for controlling energy scheduling and distribution according to claim 3, wherein the step of performing integral power ratio analysis based on the number of the power utilization units in the stable power utilization class, determining the energy supply sources corresponding to different power utilization units in the stable power utilization class, and forming stable energy supply corresponding data includes:
comparing the number of the power utilization units and the number of the energy sources in the stable power utilization class: when k is less than or equal to n, taking the number k of the electricity utilization units in the stable electricity utilization class as a reference, selecting the same number of energy supply sources according to the sequence from large to small, performing sequential label-based correspondence with the electricity utilization units in the stable electricity utilization class to form a first corresponding sequence A, and providing different energy supply sources for different electricity utilization units in the stable electricity utilization class according to the corresponding relation in the first corresponding sequence A, wherein:
Figure QLYQS_1
。
5. The method for controlling energy scheduling and distribution according to claim 4, wherein determining remaining energy data of different energy sources according to the first scheduling and distribution result data, and performing peak-elimination and valley-leveling-based scheduling and distribution in combination with the wave electricity consumption class to form second scheduling and distribution result data includes:
determining the remaining energy supply power P of the selected energy supply source after supplying energy to the power utilization units in the corresponding stable power utilization class according to the first corresponding sequence A s1，k Wherein:
P s1，k =P a，k -P u，k ；
acquiring the power consumption of different power consumption units in the fluctuation power consumption class, and analyzing the periodic power consumption rule of the power consumption in the time dimension to form a fluctuation power consumption function P v1，i (t), i is the label of different electricity utilization units in the fluctuation electricity utilization class;
using an electric power function P according to the fluctuation v1，i (t) determining the peak value P of the effective electric power of different electric units in the fluctuation electric power class vh1，i And combining the maximum remaining energy power P in the selected energy supply sources sh1 Comparing the peak value P of the effective electric power vh1，i Exceeding the remaining power supply P sh1 Determining a target transformation fluctuating power function P from said fluctuating electric power function of (2) vm1，r (t), r represents the number of different electricity utilization units which are selected from different electricity utilization units in the fluctuation electricity utilization class and meet comparison results;
the residual wave is used as an electric power function P v1，i (t) determining as a non-transformed fluctuating power function P v1，b (t) applying said non-transformed fluctuating power function P v1，b (t) the corresponding power utilization unit uses power according to the effective power peak value P vh1，i The closest remaining power supply P s1，k The energy supply source is used for determining the electricity utilization unit;
with the corresponding non-conversion fluctuating power function P on the energy supply source v1，y (t) phase as a transformed phase limit condition, y representing the index of the corresponding different non-transformed fluctuating power functions on different said energy supplies, to differ said surplus energy supply power P s1，k As a transformation amplitude limit condition, using the selected number k of energy sources as a transformation sub-function number limit condition, and transforming the target transformation fluctuating power function P vm1，r (t) performing Fourier transform to form k different transform functions F corresponding to the energy supply sources k (t) wherein:
for the same energy supply source, the transformation function F k (t) and the non-transformed fluctuating power function P v1，y (t) there is a phase difference, and the transformation function F k (t) and the non-transformed fluctuating power function P v1，y (t) any point in time t in the time dimension 0 The values of (2) satisfy the following:
F k （t 0 ）+P v1，y （t 0 ）≤P s1，k ，F k1 （t 0 ) For the transformation function F k (t) at time t 0 Take the value of P v1，y （t 0 ) For said non-transformed fluctuating power function P v1，y (t) at time t 0 The value of the above value.
6. The method for controlling energy scheduling and distribution according to claim 5, wherein said determining, according to the second scheduling and distribution result data, the remaining energy data of different energy sources in combination with the energy supply information of different energy sources, and performing the remaining and consuming process in combination with the sporadic electricity class, to form third scheduling and distribution result data includes:
according to the transformation function F k (t) and the non-transformed fluctuating power function P v1，y (t) determining the reserve power P corresponding to the energy supply sources different in the time dimension l，k (t) wherein:
P l，k （t）=P s，k - F k （t）- P v1，y （t）；
and carrying out consumption distribution on the reserved power by combining the reserved power, the power demand time and the power demand quantity of the power utilization units in the sporadic power utilization class to form the third scheduling distribution result data.
7. The method for controlling energy scheduling and distribution according to claim 3, wherein the step of performing integral power ratio analysis based on the number of the power utilization units in the stable power utilization class, determining the energy supply sources corresponding to different power utilization units in the stable power utilization class, and forming stable energy supply corresponding data includes:
Comparing the number of the power utilization units and the number of the energy sources in the stable power utilization class: when k > n, determining the stable power ratio a between different energy sources 1 :a 2 ：…：a n The method comprises the steps of carrying out a first treatment on the surface of the Wherein a is 1 、a 2 、…、a n All are percentage parameters;
extracting the first n power utilization units which are arranged in the order of the stable power utilization power from the top to the bottom in the stable power utilization class, and determining the stable power utilization proportion u of the n power utilization units 1 ：u 2 ：…：u n Wherein u is 1 、u 2 、…、u n All are percentage parameters;
establishing the corresponding relation between the energy supply source and the electricity utilization unit according to the arrangement sequence of power values from large to small, and determining a power proportion difference w 1 ，w 2 ，…，w n Wherein w is n =a n -u n ；
And repeatedly carrying out correspondence between the power utilization units after n power utilization units which are arranged in the stabilizing power utilization class according to the order of the stabilizing power utilization power from large to small according to the order of the power proportion difference and the energy supply source, and combining the correspondence relation between the first n power utilization units and the energy supply source to form a second corresponding sequence B.
8. The method for controlling energy scheduling and distribution according to claim 7, wherein determining remaining energy data of different energy sources according to the first scheduling and distribution result data, and performing scheduling and distribution based on peak elimination and valley elimination in combination with the wave electricity consumption class to form second scheduling and distribution result data includes:
Determining the remaining energy supply power P of all the energy supply sources after supplying energy to the power utilization units in the corresponding stable power utilization class according to the second corresponding sequence B s2，n Wherein:
Figure QLYQS_2
x represents the labels of the different power utilization units corresponding to different energy sources;
acquiring the power consumption of different power consumption units in the fluctuation power consumption class, and analyzing the periodic power consumption rule of the power consumption in the time dimension to form a fluctuation power consumption function P v2，i (t), i is the label of different electricity utilization units in the fluctuation electricity utilization class;
using an electric power function P according to the fluctuation v2，i (t) determining the peak value P of the effective electric power of different electric units in the fluctuation electric power class vh2，i And combining the maximum remaining energy power P in the selected energy supply sources sh2 Comparing the peak value P of the effective electric power vh2，i Exceeding the remaining power supply P sh2 Determining a target transformation fluctuating power function P from said fluctuating electric power function of (2) vm2，r (t), r represents no power consumption from the fluctuationThe reference numbers of different power utilization units meeting comparison results are selected from the power utilization units;
the residual wave is used as an electric power function P v2，i (t) determining as a non-transformed fluctuating power function P v2，b (t) applying said non-transformed fluctuating power function P v2，b (t) the corresponding power utilization unit uses power according to the effective power peak value P vh2，i The closest remaining power supply P s2，n The energy supply source is used for determining the electricity utilization unit;
with the corresponding non-conversion fluctuating power function P on the energy supply source v2，y (t) phase as a transformed phase limit condition, y representing the index of the corresponding different non-transformed fluctuating power functions on different said energy supplies, to differ said surplus energy supply power P s2，n As a transformation amplitude limit condition, using the selected number n of energy sources as a transformation sub-function number limit condition, and transforming the target transformation fluctuating power function P vm2，r (t) performing Fourier transform to form n different transform functions F corresponding to the energy supply sources n (t) wherein:
for the same energy supply source, the transformation function F n (t) and the non-transformed fluctuating power function P v2，y (t) there is a phase difference, and the transformation function F n (t) and the non-transformed fluctuating power function P v2，y (t) any point in time t in the time dimension 1 The values of (2) satisfy the following:
F n （t 1 ）+P v2，y （t 1 ）≤P s2，n ，F n （t 1 ) For the transformation function F n (t) at time t 1 Take the value of P v2，y （t 1 ) For said non-transformed fluctuating power function P v2，y (t) at time t 1 The value of the above value.
9. The method for controlling energy scheduling and distribution according to claim 8, wherein said determining, according to the second scheduling and distribution result data, the remaining energy data of different energy sources in combination with the energy supply information of different energy sources, and performing the remaining and consuming process in combination with the sporadic electricity class, to form third scheduling and distribution result data includes:
according to the transformation function F n (t) and the non-transformed fluctuating power function P v2，y (t) determining the reserve power P corresponding to the energy supply sources different in the time dimension l，n (t) wherein:
P l，n （t）=P s，n - F n （t）- P v2，y （t）；
and carrying out consumption distribution on the reserved power by combining the reserved power, the power demand time and the power demand quantity of the power utilization units in the sporadic power utilization class to form the third scheduling distribution result data.
10. The method for controlling energy scheduling and distribution according to claim 6 or 9, wherein when energy scheduling control is performed on different electricity utilization types in the scheduling area, the electricity utilization unit corresponding to the target transformation fluctuation power function needs to synchronously supply energy to the energy supply source corresponding to the transformation function.
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