CN117273988A - Intelligent energy management system based on cross-business field - Google Patents
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Abstract
The invention discloses an intelligent energy management system based on a cross-service field, which relates to the technical field of intelligent energy management and is used for solving the problem of low redundant power processing efficiency of a hydropower station; the system comprises a data acquisition module, a power supply analysis module, a data comparison module and a summarization adjustment module; according to the method, the water level state parameters and the power supply demand parameters are simultaneously analyzed to generate the redundancy influence coefficient, the power of the hydropower station for generating the energy service conversion signal is timely acquired according to the redundancy influence coefficient and the redundancy influence threshold value, the redundant power condition of the hydropower station is clear, the transmission efficiency information and the power conversion information are collected to analyze the power transmission benefits of the redundant power, the power benefit difference signal is generated according to the service benefit coefficient, the energy service conversion is carried out on the redundant power, and the strategy selection is carried out, so that the problems of untimely and ambiguous redundant power treatment are solved, and the intelligent management of the power energy of the hydropower station is realized.
Description
Technical Field
The invention relates to the technical field of intelligent energy management, in particular to an intelligent energy management system based on a cross-business field.
Background
The intelligent energy management across business fields refers to an energy management solution which can be applied to various industries and fields, is not limited to specific business fields, can be used in various fields such as manufacturing industry, business, residence, agriculture and the like to manage and optimize energy use, and therefore has universality and adaptability among the cross-business field management and can meet the energy management requirements of various industries and fields.
The prior art has the following defects:
in the existing hydropower station power generation process, because the power consumption end requirement of a power grid and the power generation amount of the hydropower station are easy to generate mismatching, especially when the power generation amount of the hydropower station is larger than the power consumption end requirement of the power grid, extra power is input into the power grid to easily cause power grid load, the hydropower station can select to store or convey the extra power to other power grids, but various line loss conditions exist, so that the power transmission benefit is poor, environmental pollution caused in the transmission process is large, and in the process of storing the redundant power in power storage equipment, the benefit of lower power storage is low, for example, the value of the power storage and the energy consumption of transmission exceeds the value of the power per se for the smaller extra power, namely, the power service is slow to manage the redundant power, the energy source is wasted, and the operation efficiency of the subsequent hydropower station is affected.
The present invention proposes a solution to the above-mentioned problems.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, embodiments of the present invention provide a cross-business domain based intelligent energy management system to solve the above-mentioned problems set forth in the background art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
intelligent energy management system based on cross-business field, its characterized in that: the system comprises a data acquisition module, a power supply analysis module, a data comparison module and a summarization adjustment module, wherein the modules are connected through signals;
the data acquisition module is used for acquiring water level state parameters and power supply demand parameters of the hydropower station, acquiring transmission efficiency information and electric energy conversion information of redundant electric quantity in power transmission, wherein the water level state parameters comprise water level period fluctuation drift indexes, the power supply demand parameters comprise power supply period power demand values, the transmission efficiency information comprises transmission conversion loss values, the electric energy conversion information comprises redundant electric quantity real-time benefit values, and transmitting the acquired data to the power supply analysis module;
the power supply analysis module is used for receiving the data sent by the data acquisition module, generating a redundancy influence coefficient by combining the water level period fluctuation drift index in the received data and the power demand value of the power supply period, generating a service benefit coefficient by using the transmission conversion loss value and the real-time benefit value of the redundancy electric quantity, and transmitting the data to the data comparison module;
the data comparison module is used for receiving the data sent by the power supply analysis module, analyzing the supply and demand conditions of electricity generated by the hydropower station according to the redundancy influence coefficient in the received data to obtain an electricity result signal, analyzing the power transmission benefit according to the business benefit coefficient in the received data to generate a benefit result signal, and sending the analysis result to the summarizing and adjusting module;
the summarizing and adjusting module is used for receiving the data transmitted by the data comparing module, determining the redundant electricity quantity condition of the hydropower station according to the electricity quantity result signal, and determining the power service conversion strategy according to the benefit result signal.
In a preferred embodiment, the water level cycle fluctuation drift index acquisition logic is as follows:
acquiring a cycle number ZS contained in a unit time of a water level in a power station, taking a difference value between a starting water level and an ending water level in each cycle as a water level expansion value, and endingThe value of the water level higher than the initial water level is marked as the water level positive fluctuation drift, the value of the water level lower than the initial water level is marked as the water level negative fluctuation drift, the cycle numbers of the water level positive fluctuation drift and the water level negative fluctuation drift are marked as ZQs and FQs, the water level cycle fluctuation drift index is calculated, the calculated expression is,。
in a preferred embodiment, the power supply cycle power demand acquisition logic is as follows:
obtaining total electric quantity transmitted to power grid by hydropower stationAcquiring power consumption data of a power grid, measuring the power consumption of the power grid by taking a fixed time length as a time interval, establishing a time sequence of the measured power consumption data, wherein each time point corresponds to one power consumption data point, calculating the average required value of the power, and the calculation expression is as follows: />The highest power consumption point and the lowest power consumption point in the time series are obtained and marked as +.>、/>And calculating a power supply period power demand value, wherein the calculation expression is as follows: />。
In a preferred embodiment, the power supply and demand conditions of the power generated by the hydropower station are analyzed according to the redundancy influence coefficients in the received data to obtain a power result signal, and the specific steps are as follows:
the water level period fluctuation drift index, the power demand value of the power supply period and the redundancy influence coefficient are in a direct proportion relation;
comparing the redundancy influence coefficient with a redundancy influence threshold;
if the redundancy influence coefficient is greater than or equal to the redundancy influence threshold, generating an energy service conversion signal;
and if the redundancy influence coefficient is smaller than the redundancy influence threshold value, generating a power supply service stabilizing signal, and continuously supplying power to the power grid normally by the hydropower station.
In a preferred embodiment, the transmission conversion loss value acquisition logic is:
obtaining extra current supplied by hydropower station meeting power grid requirementsWire resistance->Distance of transmission lineThereby calculating the current loss: />Input voltage of a transformer through which a wire passes is measured>And output voltageObtaining rated capacity of transformer>And calculating to obtain transformer loss: />Establishing loss sets for the transformer losses: />J is a positive integer, a transmission conversion loss value is calculated, and a calculation expression is:。
in a preferred embodiment, the logic for obtaining the real-time benefit value of redundant power is:
obtaining redundant electric quantity generated by hydropower stationObtaining the price of the electric power market->Multiplying the redundant power quantity by the power market price as the total market income of the redundant power quantity>Grid power transmission cost for obtaining redundant electric quantity power transmission>Storage cost +.>And calculating to obtain a redundant electric quantity real-time benefit value, wherein the calculation expression is as follows: />。
In a preferred embodiment, the power transmission benefit is analyzed according to the service benefit coefficient in the received data, and a benefit result signal is generated, which specifically includes the following steps:
obtaining redundant electric quantity data of a hydropower station for generating an energy service conversion signal, and generating service benefit coefficients from transmission efficiency information and electric energy conversion information of the redundant electric quantity data in power transmission;
comparing the service benefit coefficient with a benefit threshold;
if the service benefit coefficient is smaller than the benefit threshold, generating a power benefit optimal signal, and carrying out power transmission of the power grid;
and if the service benefit coefficient is greater than or equal to the benefit threshold value, generating a power benefit difference signal, and not carrying out power transmission of the power grid.
The intelligent energy management system based on the cross-service field has the technical effects and advantages that:
according to the method, the power supply condition of the hydropower station is analyzed, the water level state parameter and the power supply demand parameter are collected, the water level state parameter and the power supply demand parameter are combined to generate the redundancy influence coefficient, the electric quantity of the hydropower station for generating the energy service conversion signal is obtained in time according to the redundancy influence coefficient and the redundancy influence threshold value, the condition of the hydropower station for generating the redundancy electric quantity is further clarified, the power transmission benefit condition of the redundancy electric quantity is analyzed, the transmission efficiency information and the power conversion information are collected to generate the service benefit coefficient, the power transmission benefit is analyzed according to the service benefit coefficient, the energy service conversion is carried out on the redundancy electric quantity according to the generated power benefit difference signal, the strategy selection is carried out according to the scale of the redundancy electric quantity, the problem that the redundant power processing is not timely due to the undefined transmission benefit is reduced, and the intelligent management of the power energy of the hydropower station is realized.
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Fig. 1 is a schematic structural diagram of an intelligent energy management system based on a cross-business field.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order to achieve the above purpose, fig. 1 shows a schematic structural diagram of the intelligent energy management system based on the cross-business field, which specifically includes a data acquisition module, a power supply analysis module, a data comparison module and a summary adjustment module, wherein the modules are connected through signals.
In hydropower station operation, particularly in the case of rising water level and increasing water flow in rainy season, it often occurs that the electric energy generated by the hydropower station exceeds the demand of the electricity-consuming end, and in order to fully utilize the water resource and ensure that the renewable electric energy is not wasted, the hydropower station is generally equipped with an electric power storage device and a resistive load device, and operates in the following manner:
an electric power storage device: hydropower stations are equipped with electric power storage devices, such as battery energy storage systems or pumped-hydro power stations, for storing excess electric energy for future use, which are automatically charged when the electric power production exceeds the electricity demand, and stored for use during peak hours of electric power demand or drought seasons;
resistive load device: hydropower stations are also equipped with resistive load devices, typically comprising resistive heaters or furnaces, and when the electric storage device is fully loaded and the power production still exceeds demand, excess electrical energy is distributed to the resistive load device, converting the electrical energy into thermal energy, which helps to consume excess electrical power, prevent overload of the electric storage device, and maintain stable operation of the plant;
power balance management: hydropower stations are equipped with advanced power balance management systems to monitor power demand and supply, which can predict fluctuations in power demand, and changes in water flow and water level to optimize decisions for power generation, storage, and distribution, through intelligent management, hydropower stations can maintain balance between power supply and demand to maximize renewable resources;
when the hydropower station is used for power production, the supply demand condition between the power grid power utilization end and the hydropower station capacity is analyzed, so that the supply condition of the generated power of the hydropower station is determined, redundant electric quantity is stored or electric energy is subjected to resistance load to be converted into heat, and heat recovery service is performed.
The data acquisition module acquires water level state parameters and power supply demand parameters of the hydropower station and sends the acquired water level state parameters and power supply demand parameters to the power supply analysis module;
the water level state parameter comprises the water level period fluctuation drift index and is calibrated asThe power supply demand parameter includes a power supply cycle power demand value and is calibrated to +.>；
The water level period fluctuation drift index in the water level state parameter has an important influence on the power supply capacity of the analysis water power station, wherein the water level period fluctuation drift index refers to the degree of water level rise of a reservoir or dam in a period, and is usually measured by a vertical distance or height, and the water level period fluctuation drift index has the following influence:
risk of equipment damage: sudden water level fluctuations may cause equipment and structures within the hydropower station to be impacted and stressed, which may cause damage to the equipment. For example, hydraulic turbines, generators, and transmission lines may be subject to additional stress, requiring more frequent inspection and maintenance;
the power system is unstable: sudden water level fluctuations may cause instability of the power system, as variations in water flow rate and water pressure may affect power quality and stability. This may lead to power fluctuations and transient problems in the power system.
The logic for obtaining the water level cycle fluctuation drift index is as follows:
the cycle number ZS of the water level in the power station in unit time is obtained, the difference value between the initial water level and the final water level in each cycle is used as a water level expansion value, the value of the final water level higher than the initial water level is marked as a water level positive expansion drift, the value of the final water level lower than the initial water level is marked as a water level negative expansion drift, the cycle numbers of the water level positive expansion drift and the water level negative expansion drift are marked as ZQs and FQs, the water level cycle expansion drift index is calculated, the calculated expression is,。
the unit time and the cycle number of the unit time are set according to the actual situation, and the water level fluctuation is analyzed according to a water level measuring instrument such as a water level sensor installed on the dam.
The power supply period power demand value in the power supply demand parameter refers to a change value of real-time supply power of a required hydropower station and real-time consumption power transmitted to a power utilization end by a power grid, and is used for comprehensively evaluating the supply and demand conditions between the power utilization end of the power grid and the power generation end of the hydropower station, the small power supply period power demand value indicates that the power required by the power utilization end of the power grid is less than the power transmitted by the power generation end of the hydropower station, and the power supply period power demand value has the following effects:
waste of electric power: since the power demand is small, part of the power generated by the hydropower station is not effectively utilized, resulting in power waste, which can create unnecessary burden on resources and environment, and the power generated by the hydropower station in the power supply period exceeds the demand of the power utilization end, which means that a large amount of power is supplied beyond the actual demand, and the additional power is considered as surplus power;
power transmission problem: if the power demand value is smaller than the supply value, the problem of voltage stability is easy to generate, the load of the power grid is overlarge, the power demand exceeds the self demand, the service life of the power grid is influenced, and measures are needed to be taken to adjust the power transmission and distribution;
potential electrical load starvation: in some cases, if the power demand continues to be small, this can lead to a potential power shortage of the power supply, which can affect the reliability of the power system.
The acquisition logic of the power demand value of the power supply cycle is as follows:
obtaining total electric quantity transmitted to power grid by hydropower stationAcquiring power consumption data of a power grid, measuring the power consumption of the power grid by taking a fixed time length as a time interval, establishing a time sequence of the measured power consumption data, wherein each time point corresponds to one power consumption data point, calculating the average required value of the power, and the calculation expression is as follows: />The highest power consumption point and the lowest power consumption point in the time series are obtained and marked as +.>、/>Calculating a power demand value of a power supply cycle, and calculating an expressionThe method comprises the following steps: />。
It should be noted that, the electricity consumption data may be obtained from an electric power meter, a sensor, a smart grid system or an electricity consumption user, the specific obtaining mode is not limited, the fixed time length is analyzed according to the weather state, and the fixed time length may be adjusted according to the change of the requirements of different seasons or months.
The power supply analysis module is used for generating a redundancy influence coefficient by combining the water level state parameter and the power supply demand parameter, and transmitting the redundancy influence coefficient to the data comparison module;
will obtain the water level period fluctuation drift indexPower supply cycle power requirement ∈>Performing normalization analysis to generate redundancy influence coefficients, and calibrating the redundancy influence coefficients to be +.>The expression formula is: />；
In the method, in the process of the invention,for redundancy influencing coefficients, +.>、/>Drift index for water level period fluctuation>Power supply cycle power requirement ∈>Is a preset proportionality coefficient of>、/>Are all greater than 0.
As can be seen from the formula, the smaller the water level period fluctuation drift index is, the smaller the power demand value of the power supply period is, namely the redundancy influence coefficientThe smaller the expression value of the water level period fluctuation drift index is, the larger the power demand value of the power supply period is, namely the redundancy influence coefficient is->The larger the expression value of the power grid is, the more easily the power redundancy is generated in the power generation process of the hydropower station, and the surplus electric energy is further caused.
The data comparison module compares the generated redundancy influence coefficient with a redundancy influence threshold value to generate an energy service conversion signal and a power supply service stabilization signal;
after the data comparison module obtains the redundancy influence coefficient, the redundancy influence coefficient is compared with a redundancy influence threshold value;
if the redundancy influence coefficient is greater than or equal to the redundancy influence threshold value, generating an energy service conversion signal, wherein the energy service conversion signal indicates that the hydropower station generates additional power required by the power grid, the additional power is easy to cause the state deterioration of the power grid, the power transmission is reduced, and the stability of the power grid is maintained;
and if the redundancy influence coefficient is smaller than the redundancy influence threshold value, generating a power supply business stabilizing signal, wherein the power supplied by the hydropower station is matched with the power required by the power grid, and the hydropower station continues to normally supply power to the power grid.
The redundant electric quantity transmitted by the hydropower station can increase the voltage of the power grid, so that the voltage is unstable, power equipment in the power grid can be damaged, the power quality is affected, the frequency is possibly increased due to the fact that excessive power is transmitted, adverse effects are generated on equipment of a user power utilization terminal, the proportion of the power grid in problem is reduced due to the adjustment of the power transmitted by the hydropower station, and the loss of electric energy between the power grids can be reduced.
When the summarizing and adjusting module receives the energy service conversion signal transmitted by the data comparison module, converting the electric energy service into other energy services;
when the energy service conversion signal is received, the surplus power exists in the hydropower station, the generated redundant electric quantity is analyzed, and whether the electric energy is subjected to heat recovery or electric energy storage is judged.
When there is a large margin in the power transmitted by a hydroelectric power station, one option is to use the power for a resistive load device to convert it to thermal energy, which typically involves using a resistive heater or resistive load to generate heat for heating water, liquids or gases, or for temperature control, in such a way that redundant power can be fully utilized to convert it to useful thermal energy; if there is little or no large-scale heat energy demand for the surplus power, it is considered that the surplus power is used for heat dissipation, i.e., a part of the electric energy is released as heat by the heat sink to prevent the equipment from overheating, and in addition, it is considered that the surplus power is used for heating water or other purposes to improve the efficiency of the power system, but this requires the power storage equipment or system to temporarily store and recover the surplus power, and the capacity of the power storage equipment often has a limitation, i.e., the heat dissipation or heat recovery needs to be selected according to the analysis of the actual situation, thereby reducing the loss of the power.
The data acquisition module acquires transmission efficiency information and electric energy conversion information of redundant electric quantity in power transmission, and transmits the transmission efficiency information and the electric energy conversion information to the power supply analysis module;
the transmission conversion loss value in the transmission efficiency information is calibrated asThe real-time benefit value of redundant electric quantity in the electric energy conversion information is marked as +.>；
The transmission conversion loss value refers to energy loss generated when redundant electric quantity is transmitted to other places, reflects the condition of electric energy loss when electric energy is transmitted or stored, and has the following effects on the power grid and the environment nearby the power grid due to the fact that the electric power can be greatly lost in the transmission process due to the fact that the transmission conversion loss value is large;
environmental impact: since transmission and conversion losses result in additional energy consumption, more environmental pollution emissions may be generated, and reducing transmission losses may help reduce adverse effects on the environment;
economic impact: transmission and conversion losses result in additional energy costs, as more input energy needs to be provided to make up for these losses, which increases the cost of energy supply, higher loss values indicate that more energy is wasted in the transmission and conversion process, resulting in reduced energy efficiency, especially in long distance transmission and conversion.
The transmission conversion loss value acquisition logic is:
obtaining extra current supplied by hydropower station meeting power grid requirementsWire resistance->Distance of transmission lineThereby calculating the current loss: />Input voltage of a transformer through which a wire passes is measured>And output voltage->Obtaining rated capacity of transformer>And calculating to obtain transformer loss: />Establishing loss sets for the transformer losses: />，/>The transmission conversion loss value is calculated for a positive integer, and the calculation expression is: />。
The voltage, current, and resistance are obtained by providing a device for measurement such as a current sensor, a voltage sensor, and a resistance sensor on a line of the power grid, and the current can be measured usually in a non-contact manner or in a contact manner, and the data can be acquired by using a clip sensor (usually clipped to the power line).
The real-time benefit value of the redundant electric quantity refers to the benefit condition of transmitting the redundant electric quantity, the real-time benefit value of the electric quantity reflects the influence on whether the redundant electric quantity is transmitted or not, and the real-time benefit value of the redundant electric quantity has the following influence:
decision limit: low real-time benefit values may limit the decision space for hydropower station operators, may choose not to transmit or store redundant power, and may instead process the redundant power in other ways;
negative environmental impact: at low real-time benefit values, environmental measures such as reduced carbon emissions or reduced energy consumption can be more favored as these measures may increase costs without producing sufficient economic returns.
The acquisition logic of the redundant electric quantity real-time benefit value is as follows:
obtaining redundant electric quantity generated by hydropower stationObtaining the price of the electric power market->Multiplying the redundant power quantity by the power market price as the total market income of the redundant power quantity>Grid power transmission cost for obtaining redundant electric quantity power transmission>Storage cost +.>And calculating to obtain a redundant electric quantity real-time benefit value, wherein the calculation expression is as follows: />。
It should be noted that, the storage cost of the power storage device and the transmission cost of the power grid are obtained through estimation and analysis according to past cost, and the price of the power market is obtained according to real-time price.
The power supply analysis module receives the transmitted data and transmits the conversion loss valueRedundant power real-time benefit valueAnd generates a business benefit coefficient, which is marked as +.>The formula according to is: />；
In the method, in the process of the invention,is business benefit coefficient->、/>Conversion loss value +.>Real-time benefit value of redundant electric quantityIs a preset proportionality coefficient of>、/>Are all greater than 0.
The formula shows that the larger the transmission conversion loss value is, the smaller the real-time benefit value of the redundant electric quantity is, namely the larger the expression value of the service benefit coefficient is, the less the redundant electric quantity generated by the hydropower plant is transmitted to other power grid lines, the loss in the electric power transmission process is serious, the energy conservation and benefit standard is not met, the smaller the transmission conversion loss value is, the larger the real-time benefit value of the redundant electric quantity is, the better the benefit of the redundant electric quantity generated by the hydropower plant is transmitted to other power grid lines, the redundant electric power can be transmitted to the power grid, and the electric power transmission benefit is better.
The power supply analysis module sends data to the data comparison module, compares the service benefit coefficient with a benefit threshold value, determines the benefit condition of redundant electric quantity generated by the hydropower plant, and performs service conversion according to the electric power benefit;
comparing the service benefit coefficient with a benefit threshold, if the service benefit coefficient is greater than or equal to the benefit threshold, generating an electric benefit difference signal, wherein the electric benefit difference signal indicates that the benefit of the redundant electric quantity transmitted to other power grids is poor, and more problems are easily generated when the redundant electric quantity is transmitted to other power grids;
if the service benefit coefficient is smaller than the benefit threshold, generating a power benefit optimal signal, wherein the power benefit optimal signal indicates that the benefit of transmitting the redundant electric quantity to other power grids is good, and the redundant electric quantity can be transmitted to other power grids.
The data comparison module sends the data to the summarizing and adjusting module, and the summarizing and adjusting module manages the line.
When the summarizing and adjusting module receives the power benefit difference signal, the power grid is not carried on the redundant electric quantity, the redundant electric quantity can be stored in the electric storage equipment, but because the electric storage equipment brings certain economic expense in the electric energy storage process, when a small amount of redundant electric quantity is processed, one feasible economic strategy is to bypass the electric storage equipment, directly convert the redundant electric quantity into heat energy and consume the heat energy through the resistance load equipment, the strategy aims at reducing unnecessary cost, particularly for relatively smaller electric quantity, the resistance load equipment can immediately convert the electric energy into heat energy without waiting for the storage and release process, the electric energy waste is eliminated, the system is more efficient, and the flow direction of the electric energy is determined mainly by carrying out joint analysis on the residual capacity and the redundant electric quantity of the electric storage equipment.
The relevant threshold value is set by those skilled in the art according to the actual situation, and is not limited herein.
According to the method, the power supply state of the hydropower station is analyzed, the water level state parameter and the power supply demand parameter are collected, the water level state parameter and the power supply demand parameter are combined to generate the redundancy influence coefficient, the electric quantity of the hydropower station for generating the energy service conversion signal is obtained in time according to the redundancy influence coefficient and the redundancy influence threshold value, the situation of the hydropower station for generating the redundancy electric quantity is further clarified, the power transmission benefit of the redundancy electric quantity is analyzed, the transmission efficiency information and the power conversion information are collected to generate the service benefit coefficient, the power transmission benefit is analyzed according to the service benefit coefficient, the energy service conversion is carried out on the redundancy electric quantity according to the generated power benefit difference signal, the strategy selection is carried out according to the scale of the redundancy electric quantity, the problem that the redundant power processing is not timely due to the undefined transmission benefit is reduced, and the intelligent management of the power energy of the hydropower station is realized.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product.
Those of ordinary skill in the art will appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations 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.
In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (7)
1. Intelligent energy management system based on cross-business field, its characterized in that: the system comprises a data acquisition module, a power supply analysis module, a data comparison module and a summarization adjustment module, wherein the modules are connected through signals;
the data acquisition module is used for acquiring water level state parameters and power supply demand parameters of the hydropower station, acquiring transmission efficiency information and electric energy conversion information of redundant electric quantity in power transmission, wherein the water level state parameters comprise water level period fluctuation drift indexes, the power supply demand parameters comprise power supply period power demand values, the transmission efficiency information comprises transmission conversion loss values, the electric energy conversion information comprises redundant electric quantity real-time benefit values, and transmitting the acquired data to the power supply analysis module;
the power supply analysis module is used for receiving the data sent by the data acquisition module, generating a redundancy influence coefficient by combining the water level period fluctuation drift index in the received data and the power demand value of the power supply period, generating a service benefit coefficient by using the transmission conversion loss value and the real-time benefit value of the redundancy electric quantity, and transmitting the data to the data comparison module;
the data comparison module is used for receiving the data sent by the power supply analysis module, analyzing the supply and demand conditions of electricity generated by the hydropower station according to the redundancy influence coefficient in the received data to obtain an electricity result signal, analyzing the power transmission benefit according to the business benefit coefficient in the received data to generate a benefit result signal, and sending the analysis result to the summarizing and adjusting module;
the summarizing and adjusting module is used for receiving the data transmitted by the data comparing module, determining the redundant electricity quantity condition of the hydropower station according to the electricity quantity result signal, and determining the power service conversion strategy according to the benefit result signal.
2. The cross-business domain based intelligent energy management system of claim 1, wherein: the logic for obtaining the water level cycle fluctuation drift index is as follows:
the cycle number ZS of the water level in the power station in unit time is obtained, the difference value between the initial water level and the final water level in each cycle is used as a water level expansion value, the value of the final water level higher than the initial water level is marked as a water level positive expansion drift, the value of the final water level lower than the initial water level is marked as a water level negative expansion drift, the cycle numbers of the water level positive expansion drift and the water level negative expansion drift are marked as ZQs and FQs, the water level cycle expansion drift index is calculated, the calculated expression is,。
3. the cross-business domain based intelligent energy management system of claim 2, wherein: the acquisition logic of the power demand value of the power supply cycle is as follows:
obtaining total electric quantity transmitted to power grid by hydropower stationAcquiring power consumption data of a power grid, measuring the power consumption of the power grid by taking a fixed time length as a time interval, establishing a time sequence of the measured power consumption data, wherein each time point corresponds to one power consumption data point, calculating the average required value of the power, and the calculation expression is as follows: />The highest power consumption point and the lowest power consumption point in the time series are obtained and marked as +.>、/>And calculating a power supply period power demand value, wherein the calculation expression is as follows: />。
4. The cross-business domain based intelligent energy management system of claim 3, wherein: analyzing the supply and demand conditions of electricity generated by the hydropower station according to the redundancy influence coefficient in the received data to obtain an electricity result signal, wherein the method comprises the following specific steps of:
the water level period fluctuation drift index, the power demand value of the power supply period and the redundancy influence coefficient are in a direct proportion relation;
comparing the redundancy influence coefficient with a redundancy influence threshold;
if the redundancy influence coefficient is greater than or equal to the redundancy influence threshold, generating an energy service conversion signal;
and if the redundancy influence coefficient is smaller than the redundancy influence threshold value, generating a power supply service stabilizing signal, and continuously supplying power to the power grid normally by the hydropower station.
5. The cross-business domain based intelligent energy management system of claim 4, wherein: the transmission conversion loss value acquisition logic is:
obtaining extra current supplied by hydropower station meeting power grid requirementsWire resistance->Distance of transmission line>Thereby calculating the current loss: />Input voltage of a transformer through which a wire passes is measured>And output voltage->Obtaining rated capacity of transformer>And calculating to obtain transformer loss: />Establishing loss sets for the transformer losses: />J is positiveAn integer, a transmission conversion loss value is calculated, and a calculation expression is: />。
6. The cross-business domain based intelligent energy management system of claim 5, wherein: the acquisition logic of the redundant electric quantity real-time benefit value is as follows:
obtaining redundant electric quantity generated by hydropower stationObtaining the price of the electric power market->Multiplying the redundant power quantity by the power market price as the total market income of the redundant power quantity>Grid power transmission cost for obtaining redundant electric quantity power transmission>Storage cost +.>And calculating to obtain a redundant electric quantity real-time benefit value, wherein the calculation expression is as follows: />。
7. The cross-business domain based intelligent energy management system of claim 6, wherein: analyzing the power transmission benefit according to the business benefit coefficient in the received data to generate a benefit result signal, wherein the specific steps are as follows:
obtaining redundant electric quantity data of a hydropower station for generating an energy service conversion signal, and generating service benefit coefficients from transmission efficiency information and electric energy conversion information of the redundant electric quantity data in power transmission;
comparing the service benefit coefficient with a benefit threshold;
if the service benefit coefficient is smaller than the benefit threshold, generating a power benefit optimal signal, and carrying out power transmission of the power grid;
and if the service benefit coefficient is greater than or equal to the benefit threshold value, generating a power benefit difference signal, and not carrying out power transmission of the power grid.
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