CN117578706A - Multi-level load management system and method based on power grid - Google Patents
Multi-level load management system and method based on power grid Download PDFInfo
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Abstract
The invention relates to the technical field of power grid load management, and particularly discloses a power grid-based multi-level load management system and a method thereof, wherein the system comprises the following components: the power grid load analysis module, the power generation level monitoring analysis module, the power transmission allocation level monitoring analysis module, the energy storage level monitoring analysis module, the multi-level load management cloud end and the power grid information base are combined with historical data of power grid load values at all time points, power grid loads at future time points are predicted according to the development trend of power grid load variation along with time, meanwhile, environmental data information is obtained according to monitoring, the influence degree of the environment in power grid load prediction is evaluated, the accuracy of power grid load prediction is improved, and meanwhile, the power loads are effectively managed and allocated through monitoring the loads of the power grid power generation level, the power transmission allocation level and the energy storage level, so that the reliability, the stability and the economical efficiency of a power grid are ensured.
Description
Technical Field
The invention relates to the technical field of power grid load management, in particular to a power grid-based multi-level load management system and a power grid-based multi-level load management method.
Background
With the growing population and the continuous development of industrialization and urban industry, the power demand is increasing, which presents a greater challenge for traditional power systems, and more efficient management and distribution of power is required, on the other hand, renewable energy sources are becoming important components of power systems, and variability and intermittence of these resources make grid management more complex, and more integration and coordination are required, so that a multi-level load management system based on a grid is required to be provided for effectively managing and distributing power loads to ensure reliability, stability and economy of the grid.
For example, bulletin numbers: the invention patent of CN116093959B discloses an electric load energy storage power supply management system, which comprises an area power supply related information extraction module, a household electric energy information extraction module, a household power consumption change information extraction module, a household power supply plan evaluation module, an electric power consumption information library and a power supply plan feedback terminal, wherein the power supply plan change requirement evaluation is carried out according to three information dimensions of the area related power supply information, the household electric energy information and the electric load change information, so that the coordination and the reliability of power supply between photovoltaic power generation supply and energy storage supply are promoted, the interference of control equipment on daily life is reduced, and the flexible supply of household power consumption is realized.
For example, bulletin numbers: the invention patent of CN116050667B discloses a distributed photovoltaic-oriented intelligent power grid load prediction management system and a management method, wherein the distributed photovoltaic-oriented intelligent power grid load prediction management system comprises a server, wherein the server is connected with a distributed photovoltaic analysis unit and a power grid load characteristic analysis unit in a communication way; and the power grid load is predicted through the stability analysis of the power grid load, and the power grid load is predicted on the premise of high fluctuation of the load, so that the control of the power grid load is ensured to have pertinence.
Today, there are also some drawbacks to multi-level load management, embodied in several aspects: (1) Current load management systems based on power grids focus on the supply and distribution of power to relieve the load pressure of the power grid, and lack of an implementation manner for effectively predicting the load of the power grid level, for example, predicting the load of the power grid at a future time point by combining historical data and environmental data of the load of the power grid, the lack of a manner for predicting the load of the power grid easily causes instability of the power system, the power system needs to be dynamically adjusted according to requirements, and if the power system cannot accurately predict the load, insufficient or excessive power supply may be caused, thereby affecting the reliability of power supply.
(2) The current load monitoring of the power grid power generation level is too single, along with the wide application of renewable energy sources and the continuous increase of power demands, the traditional power generation level load monitoring cannot meet the load monitoring demands required by the current power system, the power demand of the power grid can be erroneously evaluated by inaccurate power generation level load monitoring, the power supply is insufficient or excessive, and the phenomenon of unstable power system or massive waste of running resources is further caused.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a multi-level load management system based on a power grid and a method thereof, which can effectively solve the problems related to the background art.
In order to achieve the above purpose, the invention is realized by the following technical scheme: the first aspect of the present invention provides a multi-level load management system based on a power grid, comprising: the power grid information base is used for storing load management data of a target power grid; the power level load analysis module is used for carrying out predictive analysis on the power level load of the target power grid, calculating the power demand evaluation index of the target power grid, and comparing the power demand evaluation index with the power demand evaluation index to obtain level evaluation definition data of the target power grid; the power generation level monitoring and analyzing module is used for monitoring and analyzing the power generation level of the target power grid and calculating the power generation resource regulation demand index of the target power grid; the power transmission allocation level monitoring and analyzing module is used for monitoring and analyzing the power transmission allocation level of the target power grid and calculating the power supply stability evaluation index of the target power grid; the energy storage level monitoring and analyzing module is used for monitoring and analyzing the energy storage level of the target power grid and calculating the energy storage allocation demand index of the target power grid; the multi-level load management cloud end is used for carrying out management prompt on a power generation level, a power transmission allocation level and an energy storage level of a target power grid.
As a further method, the load management data of the target power grid specifically includes: the method comprises the steps of calculating the values of target grid loads at each historical time point, the critical wind speed, the suitable working temperature range and the suitable working humidity range of a target grid, management triggering thresholds of all levels corresponding to all power demand assessment index intervals, reference critical sulfur content, reference critical water content and reference density of target grid fuel, fuel demand support reserve corresponding to all fuel consumption rates, rated power and standard voltage signal waveforms of the target grid, a relation curve of battery voltage and charging state of a target grid energy storage level, historical maintenance data and reference maintenance battery charging state percentage.
The power level load prediction analysis method for the target power grid comprises the following steps of: disposing a plurality of monitoring points, acquiring monitoring data of a target power grid, extracting a range intermediate value according to the monitoring data as a reference standard working temperature and a reference standard working humidity of the target power grid, and comprehensively calculating an environment interference value of the target power grid, wherein the monitoring data comprises wind speed, temperature and humidity of each monitoring point in a working environment, critical wind speed of the target power grid, a proper working temperature range and a proper working humidity range of the target power grid; the calculation formula of the environmental interference value of the target power grid is as follows:
wherein alpha represents the environmental interference value of the target power grid, and DeltaQ and DeltaW are respectively represented as the set allowable deviation working temperature and allowable deviation working humidity, and ζ 1 、ζ 2 And zeta 3 The environmental interference weight factors are respectively expressed as the environmental interference weight factors corresponding to the set wind speed, temperature and humidity, j represents the number of each monitoring point, j=1, 2,3 j 、Q j And W is j Respectively represents the wind speed, the temperature and the humidity of each monitoring point in the working environment of the target power grid, V Critical of Representing the critical wind speed of the target grid,and->The reference standard working temperature and the reference standard working humidity of the target power grid are respectively indicated.
In the above scheme, the calculating the power demand evaluation index of the target power grid, comparing to obtain the level evaluation definition data of the target power grid, specifically includes: monitoring a load value of a target power grid to obtain a current load value of the target power grid, and comprehensively calculating an electric power demand evaluation index of the target power grid; matching the power demand evaluation index of the target power grid with management trigger thresholds of all levels in a database to obtain the management trigger thresholds of all levels of the target power grid, wherein the management trigger thresholds comprise a power generation resource regulation demand index threshold, a power supply stability evaluation index threshold and an energy storage allocation demand index threshold; the power demand evaluation index beta of the target power grid is calculated by the following expression:
wherein P is 0 Representing the current load value of the target power grid, wherein DeltaP represents the set allowable deviation power grid load value, psi 1 Sum phi 2 Respectively expressed as a set load value and an environmental disturbance value,representing a predicted load average value of the target power grid;
in the above scheme, the multi-level load management cloud is used for carrying out management prompt on a power generation level, a power transmission allocation level and an energy storage level of a target power grid, and specifically comprises the following steps: regulating the demand index gamma of the power generation resource of the target power grid Generating electricity Comparing the power generation resource regulation requirement index threshold value with the power generation resource regulation requirement index threshold valueIf gamma is Generating electricity Above->Management prompt is carried out on the power generation level of the target power grid; power supply stability evaluation index gamma of target power grid Power transmission And a power supply stability assessment index threshold->Comparing, if gamma Power transmission Below->Management prompt is carried out on the power transmission allocation level of the target power grid; energy storage allocation demand index gamma of target power grid Energy storage And energy storage allocation demand index threshold->Comparing, if gamma Energy storage Above->Management prompt is carried out on the energy storage level of the target power grid.
In the above scheme, the calculation formulas of the power generation demand adjustment evaluation index and the power generation stability evaluation index of the target power grid are respectively expressed as follows:
in χ Demand for Representing the power generation amount demand regulation evaluation index of the target power grid, P Traditional Chinese medicine Representing the power generation capacity of a traditional power supply unit of a target power grid, P Cleaning of Represents the generated energy, χ of the clean power supply unit Stabilization Represents the power generation stability evaluation index, Δp, of the target power grid Generating electricity Represents the set allowable deviation power generation amount,the predicted load average value of the target power grid is represented, and xi represents the reference required power generation amount upsilon corresponding to the set unit predicted load average value 1 And v 2 Respectively expressed as a power generation stability influence factor corresponding to the set fuel reserve amount and the fuel quality evaluation value, N Fuel and its production process Representing the fuel reserve of the target power grid, delta representing the fuel quality evaluation value of the target power grid, N 0 The fuel demand support reserve, which represents the current fuel consumption rate.
In the above scheme, the calculation expression of the fuel quality evaluation value of the target power grid is:
wherein omega is 1 、ω 2 And omega 3 Expressed as fuel quality impact factors corresponding to the set sulfur content, water content, and density, respectively, r represents the number of each fuel screening point, r=1, 2, 3.ρ r Respectively indicating the sulfur content, the water content and the density of each fuel screening point obtained by monitoring>Indicating the reference critical sulfur content of the target grid fuel, +.>And ρ 0 The reference critical moisture content and the reference density are shown, respectively.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
(1) According to the multi-level load management system and the method based on the power grid, the power grid load at a future time point is predicted by combining the historical data and the environmental data of the power grid load, so that the accuracy of the power grid load prediction is improved, the power system is helped to timely cope with load change, and meanwhile, the power loads are effectively managed and distributed by monitoring the loads of the power generation level, the power transmission allocation level and the energy storage level of the power grid, so that the reliability, the stability and the economical efficiency of the power grid are ensured.
(2) According to the method, the historical data of the power grid load value at each time point are combined, the power grid load at the future time point is predicted according to the development trend of the power grid load variation along with time, meanwhile, the environmental data information is obtained according to monitoring, the influence degree of the environment in the power grid load prediction is evaluated, the accuracy of the power grid load prediction is improved, the power system is helped to timely cope with load variation, and the stability of the power system is guaranteed.
(3) According to the invention, the power generation amount of different power supply units of the power grid is monitored, whether the power generation amount of the current power grid meets the power grid predicted load is evaluated, and meanwhile, the fuel quality and the reserve amount are monitored and analyzed, so that the power supply stability of the power generation level of the power grid is evaluated, the power generation level load is monitored in two aspects of the power generation amount and the power supply stability, the power generation level load monitoring mode is enriched, the accuracy of the power generation level load monitoring result is improved, and the resource waste or the power supply instability phenomenon is avoided.
(4) According to the invention, through monitoring the charging state and the maintenance time of the battery at the power grid energy storage level, the battery problem can be found in advance through regular monitoring, and the faults at the key moment of the system are avoided, so that the reliability of the electric energy storage system is improved, the electric energy storage system can provide power when required, meanwhile, the battery state is monitored, the problems of battery performance reduction and the like can be detected in time, and necessary measures are taken to slow down the battery aging speed.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
Fig. 1 is a schematic diagram of a system module connection according to the present invention.
FIG. 2 is a schematic flow chart of the method of the present invention.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments, and all other embodiments obtained by those skilled in the art without making creative efforts based on the embodiments of the present invention are included in the protection scope of the present invention.
Referring to fig. 1, a first aspect of the present invention provides a grid-based multi-level load management system, comprising: and the power grid information base is used for storing load management data of the target power grid.
Specifically, the load management data of the target power grid specifically includes: the method comprises the steps of calculating the values of target grid loads at each historical time point, the critical wind speed, the suitable working temperature range and the suitable working humidity range of a target grid, management triggering thresholds of all levels corresponding to all power demand assessment index intervals, reference critical sulfur content, reference critical water content and reference density of target grid fuel, fuel demand support reserve corresponding to all fuel consumption rates, rated power and standard voltage signal waveforms of the target grid, a relation curve of battery voltage and charging state of a target grid energy storage level, historical maintenance data and reference maintenance battery charging state percentage.
And the power level load analysis module is used for carrying out predictive analysis on the power level load of the target power grid, calculating the power demand evaluation index of the target power grid, and comparing to obtain the level evaluation definition data of the target power grid.
Specifically, the predicting and analyzing the power level load of the target power grid includes the following specific analysis processes: according to the value of the target power grid load at each historical time pointAccording to the calculation expression->Obtaining a predicted load average value of the target power grid>Where i denotes the number of each history time point, i=1, 2,3,...
It should be explained that, in this embodiment, the average value of the historical load of the power grid is used to predict the future power grid load in a short period, and the average value of the historical load is an important reference for power planning and operation, and can be used to reasonably predict the future demand, and knowing the average value of the load helps to manage the power system, especially helps to plan the distribution of the power resources during the high load period, so as to ensure the reliability of power supply.
Deploying a plurality of monitoring points, and monitoring to obtain the wind speed V of each monitoring point in the working environment of the target power grid j Temperature Q j And humidity w j Simultaneously acquiring critical wind speed V of target power grid Critical of And obtaining the suitable operating temperature range and the suitable operating humidity range of the target power grid, thereby extracting the intermediate value of the range as the reference standard operating temperature of the target power gridAnd reference standard working humidity->Comprehensively calculating an environmental interference value alpha of a target power grid, wherein the calculation expression is as follows:wherein DeltaQ and DeltaW are respectively represented as a set allowable deviation operating temperature and allowable deviation operating humidity, ζ 1 、ζ 2 And zeta 3 The environmental interference weight factors are respectively indicated as the set wind speed, temperature and humidity, j indicates the numbers of the monitoring points, j=1, 2, 3.
It should be explained that, in this embodiment, wind speed, temperature and humidity of the power grid working environment are monitored by using an anemometer, a temperature sensor and a humidity sensor respectively, wherein a higher wind speed can interfere with a power supply line, so that adverse effects are caused on stability of a power system, the temperature can directly influence power consumption of a user, the power consumption requirement of the user can be increased due to overhigh or overlow temperature, and the power consumption efficiency of power equipment can be influenced due to an extreme humidity environment.
In a specific embodiment, by monitoring wind speed, temperature and humidity, the influence of environmental factors on the power grid load is comprehensively estimated, and the calculated environmental interference value is used for analyzing the interference degree of the environment on the power grid load prediction, so that the influence of the environment is reduced, and the accuracy of the power grid load prediction is improved.
Further, the power demand evaluation index of the target power grid is calculated, so that the level evaluation definition data of the target power grid are obtained through comparison, and the specific analysis process is as follows: monitoring the load value of the target power grid to obtain the current load value P of the target power grid 0 Comprehensively calculating an electric power demand evaluation index beta of a target power grid, wherein the calculation expression is as follows:wherein ΔP represents the set allowable deviation grid load value, ψ 1 Sum phi 2 The power demand influence factors are respectively represented as the set load value and the environment interference value.
In a specific embodiment, by combining historical data of the power grid load value at each time point, the power grid load at a future time point is predicted according to the development trend of the power grid load changing along with time, meanwhile, environmental data information is obtained according to monitoring, the influence degree of the environment in the power grid load prediction is evaluated, the accuracy of the power grid load prediction is improved, the power system is facilitated to timely cope with load changes, and the stability of the power system is guaranteed.
And according to the power demand evaluation index of the target power grid, matching to obtain management trigger thresholds of all levels of the target power grid, wherein the management trigger thresholds of all levels comprise a power generation resource adjustment demand index threshold, a power supply stability evaluation index threshold and an energy storage allocation demand index threshold.
And the power generation level monitoring and analyzing module is used for monitoring and analyzing the power generation level of the target power grid and calculating the power generation resource regulation demand index of the target power grid.
Specifically, the monitoring analysis is performed on the power generation level of the target power grid, and the specific analysis process is as follows: setting a monitoring period, and monitoring the generated energy of each power supply unit of a target power grid, wherein the power is generatedThe source unit comprises a traditional power supply unit and a clean power supply unit, and the generated energy P of the traditional power supply unit of the target power grid is obtained through monitoring Traditional Chinese medicine And cleaning power supply unit power generation amount P Cleaning of Comprehensively calculating a power generation amount demand regulation evaluation index χ of a target power grid Demand for The calculation expression is as follows:wherein DeltaP Generating electricity Represents the set allowable deviation power generation amount, +.>The predicted load average value of the target power grid is represented, and xi represents the reference required power generation amount corresponding to the set unit predicted load average value.
It should be explained that the above-mentioned conventional power supply unit refers to a conventional power station relying on fossil fuel, the clean power supply unit refers to a power station using renewable energy or low-carbon fuel to generate electric power, and the wide application of renewable energy causes the power generation mode of the power generation level to be changed accordingly, and the comprehensive analysis of the power generation amounts of the conventional power supply unit and the clean power supply unit can improve the accuracy of monitoring the load of the power generation level.
In a specific embodiment, the power generation mode of the power generation level is adjusted by monitoring the power generation amount of the traditional power supply unit and the power generation amount of the clean power supply unit, comparing the whole power generation amount with the power grid load prediction and comprehensively evaluating whether the target power grid power generation amount meets the power grid load or not, so that the stability of power supply is ensured.
Obtaining fuel reserve N of target power grid Fuel and its production process And disposing a plurality of fuel screening points, and monitoring to obtain the sulfur content of each fuel screening pointMoisture content->And density ρ r Simultaneously obtaining the reference critical sulfur content of the target grid fuel>Reference critical moisture content->And a reference density ρ 0 The fuel quality evaluation value delta of the target power grid is comprehensively calculated, and the calculation expression is as follows:wherein e represents a natural constant, ω 1 、ω 2 And omega 3 Expressed as fuel quality impact factors corresponding to the set sulfur content, water content, and density, respectively, r represents the number of each fuel screening point, r=1, 2, 3.
In a specific embodiment, the fuel quality evaluation value of the target power grid is comprehensively calculated by monitoring the sulfur content, the water content and the density of the fuel, so that the fuel quality of the target power grid is evaluated, wherein the fuel with the excessively high sulfur content can generate a large amount of corrosive gas in the combustion process, so that the combustion equipment and an exhaust system are corroded, the insufficient fuel combustion can be caused by the excessively high water content, the fuel efficiency is reduced, the combustion performance of the fuel is influenced by the density, more heat can be released by the unit volume of the high-density fuel, the stability of power generation of the power generation level can be helped by evaluating the fuel quality, and the adverse effect on power supply caused by unqualified fuel quality is avoided.
Detecting and extracting the fuel consumption rate of the target power grid, and matching to obtain the fuel demand supporting reserve quantity N of the current fuel consumption rate 0 Comprehensively calculating a power generation stability evaluation index χ of a target power grid Stabilization The calculation expression is as follows:in the formula, v 1 And v 2 Respectively expressed as the set fuel reserve amount and the power generation stability influence factor corresponding to the fuel quality evaluation value.
In a specific embodiment, by monitoring the fuel reserve and the fuel quality, and comparing the current fuel reserve and the fuel quality with the reference fuel reserve and the fuel quality supporting the load of the power grid respectively, comprehensively analyzing whether the fuel of the target power grid can maintain the current load, and further evaluating the power generation stability of the power generation level, the power generation level is adjusted, and the reliability of the power system is improved.
Further, the calculation of the power generation resource adjustment demand index gamma of the target power grid Generating electricity The calculation expression is as follows:in χ Demand for And χ (x) Stabilization Respectively expressed as a power generation demand adjustment evaluation index and a power generation stability evaluation index of a target power grid, τ 1 And τ 2 Respectively expressed as the duty ratio weight to which the set power generation demand adjustment evaluation index and the power generation stability evaluation index belong.
In a specific embodiment, the power generation amount of the current power grid is evaluated by monitoring the power generation amounts of different power supply units of the power grid, and meanwhile, the fuel quality and the reserve amount are monitored and analyzed to evaluate the stability of power supply of the power grid power generation level.
And the power transmission allocation level monitoring and analyzing module is used for monitoring and analyzing the power transmission allocation level of the target power grid and calculating the power supply stability evaluation index of the target power grid.
Specifically, the monitoring analysis is performed on the power transmission allocation level of the target power grid, and the specific analysis process is as follows: deploying a plurality of power monitoring points, and monitoring to obtain the voltage U of the power transmission line of the target power grid at each power monitoring point t And current I t According to the calculation expressionObtaining the working power of the power transmission line of the target power grid at each power monitoring point>Where t represents the number of each power monitoring point, t=1, 2,3,...
It should be explained that, in this embodiment, the voltage sensor and the current sensor are used to monitor the voltage and the current of the power transmission line respectively, and comprehensively calculate the working power of the power transmission line, so as to provide a basis for evaluating the power supply stability.
Monitoring to obtain voltage signal waveforms of the power transmission line of the target power grid at each power monitoring point, and obtaining rated power P of the target power grid Rated for And the standard voltage signal waveform is subjected to overlapping comparison between the voltage signal waveform of each power monitoring point and the standard voltage signal waveform of the target power grid, so that the overlapping length of the voltage signal waveform of the power transmission line of the target power grid at each power monitoring point is obtainedSimultaneously extracting the waveform length L of the standard voltage signal 0 Comprehensively calculating power supply stability evaluation index gamma of target power grid Power transmission The calculation expression is as follows: />In (1) the->And->Respectively expressed as a power supply stability influence weight factor corresponding to the set voltage and power.
In a specific embodiment, the power supply stability evaluation index of the target power grid is comprehensively calculated by monitoring the power change and the voltage signal of the power transmission line, so that the power supply stability of the power transmission line of the target power grid is evaluated, and the power supply state of the power transmission line is adjusted according to the power supply stability evaluation index, so that the stability and the reliability of the power system are ensured.
The energy storage level monitoring and analyzing module is used for monitoring and analyzing the energy storage level of the target power grid and calculating the energy storage allocation demand index of the target power grid.
Specifically, the monitoring analysis is performed on the energy storage level of the target power grid, and the specific analysis process is as follows: acquiring a relation curve of battery voltage and charging state, and monitoring the battery voltage of a target power grid energy storage level to obtain a battery charging state percentage C of the power grid energy storage level Battery cell Simultaneously acquiring historical maintenance time nodes of the target power grid energy storage level, and analyzing to obtain interval time T between adjacent maintenance time nodes of the target power grid energy storage level and the current time point Battery cell 。
It should be explained that, the above-mentioned monitoring to the battery state of charge of the electric wire netting energy storage level, battery voltage can rise along with the rising of battery state of charge to have different change curves according to different battery types and chemical composition, obtain the state of charge of battery through the monitoring to battery voltage, can provide the basis for the start-up of energy storage system, and help maintainer to monitor the battery state, take suitable charge-discharge strategy in order to prolong battery life.
Maintaining battery state of charge percentage C based on reference to grid energy storage levels 0 Comprehensively calculating energy storage allocation demand index gamma of target power grid Energy storage The calculation expression is as follows:wherein ΔC represents a set allowable deviation battery state of charge percentage, σ 1 Representing a deployment demand impact factor, σ, corresponding to a set battery state of charge 2 And representing the allocation requirement influence factor corresponding to the set unit interval time.
In a specific embodiment, by monitoring the state of charge and maintenance time of the battery at the energy storage level of the power grid, the battery problem can be found in advance by regular monitoring, so that faults at key moments of the system are avoided, the reliability of the electric energy storage system is improved, the electric energy storage system can provide power when required, meanwhile, the battery state is monitored, the problems of battery performance degradation and the like can be detected in time, and necessary measures are taken to slow down the aging speed of the battery.
The multi-level load management cloud end is used for carrying out management prompt on a power generation level, a power transmission allocation level and an energy storage level of a target power grid.
Specifically, the management prompt is performed on the power generation level, the power transmission allocation level and the energy storage level of the target power grid, and the specific analysis process is as follows: comparing the power generation resource regulation demand index of the target power grid with a power generation resource regulation demand index threshold, if gamma Generating electricity AboveManagement prompts are made for the generation level of the target grid.
Comparing the power supply stability evaluation index of the target power grid with a power supply stability evaluation index threshold, if gamma Power transmission Below is lower thanAnd performing management prompt on the power transmission allocation level of the target power grid.
Comparing the energy storage allocation demand index of the target power grid with an energy storage allocation demand index threshold value, if gamma Energy storage AboveManagement prompt is carried out on the energy storage level of the target power grid.
Referring to fig. 2, a second aspect of the present invention provides a multi-level load management method based on a power grid, including: and firstly, predicting and analyzing the power level load of the target power grid, and calculating the power demand evaluation index of the target power grid, so as to obtain the level evaluation definition data of the target power grid by comparison.
And secondly, monitoring and analyzing the power generation level of the target power grid, and calculating the power generation resource regulation demand index of the target power grid.
And thirdly, monitoring and analyzing the power transmission allocation level of the target power grid, and calculating the power supply stability evaluation index of the target power grid.
And fourthly, monitoring and analyzing the energy storage level of the target power grid, and calculating the energy storage allocation demand index of the target power grid.
And fifthly, performing management prompt on the power generation level, the power transmission allocation level and the energy storage level of the target power grid.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (9)
1. A grid-based multi-level load management system, comprising:
the power level load analysis module is used for carrying out predictive analysis on the power level load of the target power grid, calculating the power demand evaluation index of the target power grid, and comparing to obtain level evaluation definition data of the target power grid;
the power generation level monitoring and analyzing module is used for monitoring and analyzing the power generation level of the target power grid and calculating the power generation resource regulation demand index of the target power grid;
the multi-level load management cloud end is used for acquiring and analyzing the power generation resource regulation demand index of the target power grid and carrying out management prompt on the power generation level of the target power grid;
the formula of the power generation resource regulation demand index of the target power grid is as follows:
wherein, gamma Generating electricity Representing the power generation resource regulation demand index, χ of a target power grid Demand for And χ (x) Stabilization Respectively expressed as targetsPower generation amount demand regulation evaluation index and power generation stability evaluation index of power grid, and tau 1 And τ 2 The set power generation demand adjustment evaluation index and the power generation stability evaluation index are respectively represented as the duty ratio weights to which the power generation demand adjustment evaluation index belongs, and e represents a natural constant.
2. The grid-based multi-level load management system of claim 1, further comprising:
the power transmission allocation level monitoring and analyzing module is used for monitoring and analyzing the power transmission allocation level of the target power grid and calculating the power supply stability evaluation index of the target power grid;
the power supply stability evaluation index formula is expressed as:
wherein, gamma Power transmission Representing the power supply stability assessment index of the target grid,and->Respectively expressed as power supply stability influence weight factors corresponding to set voltage and power, P Rated for Indicating the rated power of the target network, +.>Representing the superposition length of voltage signal waveforms of a power transmission line of a target power grid at each power monitoring point, L 0 Representing the waveform length of the standard voltage signal, < >>And s represents the total number of the power monitoring points.
3. The grid-based multi-level load management system of claim 2, further comprising:
the energy storage level monitoring and analyzing module is used for monitoring and analyzing the energy storage level of the target power grid and calculating the energy storage allocation demand index of the target power grid;
the calculation formula of the energy storage allocation demand index of the target power grid is as follows:
wherein, gamma Energy storage Representing the energy storage allocation demand index of the target power grid, wherein delta C represents the set allowable deviation battery charge state percentage and sigma 1 Representing a deployment demand impact factor, σ, corresponding to a set battery state of charge 2 Representing the allocation requirement influence factor corresponding to the set unit interval time, C Battery cell Representing the battery state of charge percentage of the energy storage level of the power grid, T Battery cell Representing the time interval between the adjacent maintenance time node of the target power grid energy storage level and the current time point.
4. A grid-based multi-level load management system according to claim 3, wherein the power level load for the target grid is predicted and analyzed by the following specific analysis method:
disposing a plurality of monitoring points, acquiring monitoring data of a target power grid, extracting a range intermediate value according to the monitoring data as a reference standard working temperature and a reference standard working humidity of the target power grid, and comprehensively calculating an environment interference value of the target power grid, wherein the monitoring data comprises wind speed, temperature and humidity of each monitoring point in a working environment, critical wind speed of the target power grid, a proper working temperature range and a proper working humidity range of the target power grid;
the calculation formula of the environmental interference value of the target power grid is as follows:
wherein alpha represents the environmental interference value of the target power grid, and DeltaQ and DeltaW are respectively represented as the set allowable deviation working temperature and allowable deviation working humidity, and ζ 1 、ζ 2 And zeta 3 The environmental interference weight factors are respectively expressed as the environmental interference weight factors corresponding to the set wind speed, temperature and humidity, j represents the number of each monitoring point, j=1, 2,3 j 、Q j And w j Respectively represents the wind speed, the temperature and the humidity of each monitoring point in the working environment of the target power grid, V Critical of Representing the critical wind speed of the target grid,andthe reference standard working temperature and the reference standard working humidity of the target power grid are respectively indicated.
5. The grid-based multi-level load management system of claim 4, wherein the calculating the power demand assessment index of the target grid and the comparing obtain the level assessment definition data of the target grid comprises:
monitoring a load value of a target power grid to obtain a current load value of the target power grid, and comprehensively calculating an electric power demand evaluation index of the target power grid;
matching the power demand evaluation index of the target power grid with management trigger thresholds of all levels in a database to obtain the management trigger thresholds of all levels of the target power grid, wherein the management trigger thresholds comprise a power generation resource regulation demand index threshold, a power supply stability evaluation index threshold and an energy storage allocation demand index threshold;
the power demand evaluation index beta of the target power grid is calculated by the following expression:
in the method, in the process of the invention,P 0 representing the current load value of the target power grid, wherein DeltaP represents the set allowable deviation power grid load value, psi 1 Sum phi 2 Respectively expressed as a set load value and an environmental disturbance value,representing the predicted load average of the target grid.
6. The multi-level load management system based on the power grid of claim 5, wherein the multi-level load management cloud is configured to perform management prompt on a power generation level, a power transmission allocation level and an energy storage level of a target power grid, specifically:
regulating the demand index gamma of the power generation resource of the target power grid Generating electricity Comparing the power generation resource regulation requirement index threshold value with the power generation resource regulation requirement index threshold valueIf gamma is Generating electricity Above->Management prompt is carried out on the power generation level of the target power grid;
power supply stability evaluation index gamma of target power grid Power transmission And power supply stability assessment index thresholdComparing, if gamma Power transmission Below->Management prompt is carried out on the power transmission allocation level of the target power grid;
energy storage allocation demand index gamma of target power grid Energy storage Demand index threshold value matched with energy storageComparing, if gamma Energy storage Above->Management prompt is carried out on the energy storage level of the target power grid.
7. The grid-based multi-level load management system of claim 1, wherein the calculation formulas of the power generation demand adjustment evaluation index and the power generation stability evaluation index of the target grid are expressed as:
in χ Demand for Representing the power generation amount demand regulation evaluation index of the target power grid, P Traditional Chinese medicine Representing the power generation capacity of a traditional power supply unit of a target power grid, P Cleaning of Represents the generated energy, χ of the clean power supply unit Stabilization Represents the power generation stability evaluation index, Δp, of the target power grid Generating electricity Represents the set allowable deviation power generation amount,the predicted load average value of the target power grid is represented, and xi represents the reference required power generation amount upsilon corresponding to the set unit predicted load average value 1 And v 2 Respectively expressed as a power generation stability influence factor corresponding to the set fuel reserve amount and the fuel quality evaluation value, N Fuel and its production process Representing the fuel reserve of the target power grid, delta representing the fuel quality evaluation value of the target power grid, N 0 The fuel demand support reserve, which represents the current fuel consumption rate.
8. The grid-based multi-level load management system of claim 7, wherein the calculation expression of the fuel quality assessment value of the target grid is:
wherein omega is 1 、ω 2 And omega 3 Expressed as fuel quality impact factors corresponding to the set sulfur content, water content, and density, respectively, r represents the number of each fuel screening point, r=1, 2, 3.ρ r Respectively indicating the sulfur content, the water content and the density of each fuel screening point obtained by monitoring>Indicating the reference critical sulfur content of the target grid fuel, +.>And ρ 0 The reference critical moisture content and the reference density are shown, respectively.
9. A multi-level load management method based on a power grid is characterized by comprising the following steps of: comprising the following steps:
firstly, predicting and analyzing power level loads of a target power grid, and calculating a power demand evaluation index of the target power grid, so as to obtain level evaluation definition data of the target power grid by comparison;
monitoring and analyzing the power generation level of the target power grid, and calculating the power generation resource regulation demand index of the target power grid;
step three, monitoring and analyzing the power transmission allocation level of the target power grid, and calculating a power supply stability evaluation index of the target power grid;
and fourthly, monitoring and analyzing the energy storage level of the target power grid, and calculating the energy storage allocation demand index of the target power grid.
And fifthly, performing management prompt on the power generation level, the power transmission allocation level and the energy storage level of the target power grid.
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| CN117878925A (en) * | 2024-03-11 | 2024-04-12 | 国网湖北省电力有限公司 | Power transmission data control method and system of smart power grid |
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| CN117878925A (en) * | 2024-03-11 | 2024-04-12 | 国网湖北省电力有限公司 | Power transmission data control method and system of smart power grid |
| CN117878925B (en) * | 2024-03-11 | 2024-05-17 | 国网湖北省电力有限公司 | Power transmission data control method and system of smart power grid |
| CN117879018A (en) * | 2024-03-12 | 2024-04-12 | 国网安徽省电力有限公司经济技术研究院 | Configuration operation method of energy storage system for new energy consumption |
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