CN115046246B - Self-optimization-seeking control system for comprehensive energy - Google Patents
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Abstract
The invention relates to the field of factory energy management systems, in particular to a self-optimization-seeking control system for comprehensive energy, which comprises a heat energy supply module, a heat energy grade identification module, a peak clipping load calculation module, a difference supplement module, a peak clipping cost calculation module and a self-optimization-seeking calculation result output module, wherein the peak clipping load calculation module comprises a day-ahead load planning module, a day-in load planning module, a real-time load response module and a peak clipping load difference calculator. The invention can realize self-optimizing and step-by-step utilization of heat energy according to grade of the heat energy, improves the utilization rate of the heat energy, reduces the heat energy loss caused by unequal grades, and reduces the use cost of the heat energy.
Description
Technical Field
The invention relates to the field of factory energy management systems, in particular to a self-optimization-seeking control system for comprehensive energy.
Background
In a factory park, a plurality of energy supply systems exist, the plurality of energy supply systems need to implement planning and adjustment on energy supply in the day before energy supply, the day before energy supply and the period before energy supply, the supply cost of energy is optimized in a self-optimization mode, the self-optimization of comprehensive energy refers to the implementation and adjustment and optimization of a utilization plan of comprehensive energy to improve the utilization rate of the energy and reduce the energy consumption cost, wherein heat energy is a typical energy form, the higher the temperature of the heat energy is, the higher the grade of the heat energy is, the more the heat energy can be utilized in a higher grade mode, so that different utilization technologies are needed for improving the heat quality goodness fit of the heat energy for the heat energy with different grades, the reduction of the grade of the heat energy and the purpose of the utilization mode can be reduced through the utilization of different grade levels of a plurality of sections, the comprehensive gradient utilization of the heat energy with different grades is realized in sequence, and no system capable of realizing the self-optimization utilization of the heat energy according to the grade of the heat energy is available in the conventional comprehensive energy management system, so as to realize the grade-to-grade gradient utilization of the heat energy.
In order to overcome the defects, the invention provides a self-optimization-seeking control system for comprehensive energy, which can realize self-optimization-seeking ladder utilization of heat energy according to grade levels of the heat energy.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: how to solve the problem that the existing factory park energy management system can not realize the self-optimization-trending ladder utilization of energy according to the grade of heat energy, and provides a self-optimization-trending control system for comprehensive energy.
The invention solves the technical problems by the following technical scheme, the self-optimization-seeking control system for the comprehensive energy comprises a heat energy supply module, a heat energy grade identification module, a peak clipping load calculation module, a difference compensation module, a peak clipping cost calculation module and a self-optimization-seeking calculation result output module, wherein the peak clipping load calculation module comprises a day-ahead load planning module, a day-internal load planning module, a real-time load response module and a peak clipping load difference calculator, the day-ahead load planning module, the real-time load response module and the day-internal load planning module are all connected with the input end of the heat energy grade identification module, the output end of the heat energy grade identification module is connected with the input end of the peak clipping load calculation module, the output end of the peak clipping load calculation module is connected with the input end of the difference compensation module, the output end of the difference compensation module is connected with the heat energy supply module, the output end of the heat energy supply module is connected with the peak clipping cost calculation module, the feedback end of the peak clipping cost is connected with the peak clipping load calculation module, the output end of the peak clipping cost is connected with the self-optimization calculation result output module, the self-optimization calculation result output module is connected with the feedback end of the heat energy supply module, the heat energy grade identification module determines the grade of a heat energy gap by measuring the temperature of a heat medium through a thermocouple, then the heat energy gap with the determined grade of the heat energy gap is fed back to the heat energy supply module, and a peak clipping load difference calculator in the peak clipping load calculation module utilizes a plant day-ahead planning load value arranged in the day-ahead load planning module and a plant day-in planning load value arranged in the day-in load planning module to be respectively real-time with the real-time load response module The method comprises the following steps of monitoring the sum of supply loads of each energy-using device, subtracting and squaring the sum, then multiplying the sum by an empirical coefficient according to the proportion of load real-time response step length to planned time length, adding and obtaining root values to obtain peak clipping loads, carrying out equivalent dimensionalization transformation on the peak clipping loads, wherein the peak clipping loads are used for representing the total load values comprehensively considering the attenuation of the day-ahead load response peak value and the attenuation of the day-inside load peak value, the peak clipping load value obtained by calculation of a peak clipping load calculation module is fed back to a difference successive compensation module to calculate the peak clipping difference successive compensation heat energy cost, the self-optimization calculation result output module utilizes the feedback value of the difference successive compensation module and the feedback value of the peak clipping load calculation module to carry out comprehensive cost minimization, further feeds the minimization back to the difference successive compensation module selection device, transmits the selected device result to a heat energy supply module to pre-start the selected device, and utilizes the self-optimization calculation result output module to convert the self-optimization result into actual device operation parameters through a parameter converter to regulate and control the device regulation parameters in the self-optimization supply module, and the peak clipping loads are calculated by the formula:
wherein the load value planned by the day-ahead load planning module is recorded as P by the peak clipping load difference calculator bef And the load value planned by the load planning module in the day is recorded as P day And the load value of the real-time load response module is recorded as P now Peak clipping load is recorded as
The load real-time response step length is recorded as
。
Further, the heat energy grade identification module comprises a first thermocouple for measuring the temperature of the low-grade heat energy medium, a second thermocouple for measuring the temperature of the medium-grade heat energy medium and a third thermocouple for measuring the temperature of the high-grade heat energy medium.
Further, in the peak clipping load calculation formula, a is an influence factor on the entire peak clipping load generated by a difference between a load value planned by the day-ahead load planning module and a load value planned by the real-time load response module, B is an influence factor on the entire peak clipping load generated by a difference between a load value planned by the day-ahead load planning module and a load value planned by the real-time load response module, and a and B both take experience values through an accumulated historical data matrix after multiple plant operation experiences.
Further, the difference compensation module is used for selecting a supply equipment group of corresponding grade heat energy in the heat energy supply module according to the grade of the heat energy identified by the heat energy grade identification module, recording the equipment type number of the equipment group meeting the requirement as n, and recording the unit heat supply unit price of each equipment as S i 。
Furthermore, in the peak clipping cost calculation module, the cost of each device providing peak clipping difference to supplement heat energy is recorded as C i Then, the calculation formula of the peak clipping difference successive compensation heat energy cost is as follows:
further, the self-optimization-trending calculation result output module records default cost generated by unit power successive difference as C ob The total cost is denoted as C all Synthesis ofCost C all The calculation formula of (c) is:
。
further, the specific process of the self-optimization-trending control system for the comprehensive energy source is as follows:
the method comprises the following steps: the day-ahead load planning module makes a heat energy utilization plan 48 hours ahead of time according to a factory production plan, makes a day-ahead energy utilization plan curve and transmits the day-ahead energy utilization plan curve to a self-optimization-seeking control system of a factory park;
step two: the daily load planning module makes a heat energy utilization plan on the current production day, makes a daily energy utilization plan curve and transmits the daily energy utilization plan curve to a self-optimization-seeking control system of a factory park;
step three: the real-time load response module records the heat energy utilization predicted value of the load within 8 hours before actual production and makes a real-time response load curve;
step four: the heat energy grade identification module identifies the temperature of the heat energy medium of the calculated heat energy utilization curve and identifies the grade of the heat energy according to the temperature of the heat energy medium;
step five: feeding the heat grade identified by the heat grade identification module back to the heat supply module, and selecting the heat supply equipment suitable for the heat grade;
step six: calculating a peak clipping load value by using a peak clipping load calculation module;
step seven: transmitting the load value of peak clipping to a difference successive compensation module and selecting a successive compensation difference target equipment group;
step eight: transmitting the unit heat supply unit price of the equipment group with the successive compensation difference to a peak clipping cost calculation module to calculate the peak clipping difference successive compensation cost;
step nine: calculating the comprehensive cost according to the equipment information and the unit heat default unit price;
step ten: and positioning the heating equipment according to the calculated comprehensive cost and carrying out corresponding parameter adjustment.
Compared with the prior art, the invention has the following advantages: according to the self-optimization-seeking control system for the comprehensive energy, the peak clipping load calculation module is arranged, the load response difference generated before and in the day can be shared by the peak clipping load calculation formula, the load planning module before the day, the load planning module in the day and the data given by the real-time load response module through the peak clipping load calculation formula, the peak clipping load difference calculator is used for providing the heat energy supply mode with the minimum cost of the corresponding grade heat energy for the peak clipping load value, the grade-to-grade and the step utilization of the heat energy are realized, the utilization rate of the heat energy is improved, and the energy supply cost of the heat energy is reduced.
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Fig. 1 is an overall structural view of the present invention.
Detailed Description
The following examples are given for the detailed implementation and the specific operation procedures, but the scope of the present invention is not limited to the following examples.
As shown in fig. 1, the present embodiment provides a technical solution: a self-optimization-seeking control system for comprehensive energy comprises a heat energy supply module, a heat energy grade identification module, a peak-seeking load calculation module, a difference compensation module, a peak-seeking cost calculation module and a self-optimization-seeking calculation result output module, wherein the peak-seeking load calculation module comprises a day-ahead load planning module, a day-internal load planning module, a real-time load response module and a peak-seeking load difference calculator, the day-ahead load planning module, the real-time load response module and the day-internal load planning module are all connected with the input end of the heat energy grade identification module, the output end of the heat energy grade identification module is connected with the input end of the peak-seeking load calculation module, the output end of the peak-seeking load calculation module is connected with the input end of the difference compensation module, the output end of the heat energy supply module is connected with the heat energy supply module, the feedback end of the peak-seeking cost is connected with the peak-seeking load calculation module, and the peak-seeking load calculation module is connected with the peak-seeking cost calculation moduleThe output end of the cost is connected with the self-optimization calculation result output module, the self-optimization calculation result output module is connected with the feedback end of the heat energy supply module, the heat energy grade identification module determines the grade of a heat energy gap by measuring the temperature of a heat medium through a thermocouple, then the heat energy gap with the determined grade of the heat energy grade is fed back to the heat energy supply module, a peak clipping load difference calculator in the peak clipping load calculation module utilizes a factory day-ahead planning load value arranged in the day-ahead load planning module and a factory day-inside planning load value arranged in the day-inside load planning module to respectively subtract the sum of the supply loads of all energy-using equipment monitored by the real-time load response module in real time and then square the sum, the sum is multiplied by an empirical coefficient according to the proportion of the real-time load response step length to the planning time length, and then the root value is added to carry out equivalent dimension transformation, so as to obtain the peak clipping load, which is used for representing the total load value comprehensively considering the day-ahead load response peak weakening and day-inside load peak weakening, the peak clipping load value obtained by the peak clipping load calculation module is fed back to the difference successive compensation module to calculate the peak clipping difference successive compensation heat energy cost, the self-optimization calculation result output module uses the feedback value of the difference successive compensation module and the feedback value of the peak clipping load calculation module to carry out comprehensive cost to obtain the minimum value, then the minimum value is fed back to the difference successive compensation module selection equipment, the selected equipment result is transmitted to the heat energy supply module to pre-start the selected equipment, the self-optimization calculation result output module is used to convert the self-optimization result into the actual equipment operation parameter through a parameter converter to regulate and control the equipment regulation parameter selected in the self-optimization in the heat energy supply module, the load value planned by the day-ahead load planning module is recorded as P by the peak clipping load difference calculator bef And the load value planned by the load planning module in the day is recorded as P day The load value of the real-time load response module is marked as P now Peak clipping load is recorded as
The load real-time response step length is recorded as
Then, the formula for calculating the peak clipping load is:
the method comprises the steps of dividing load response difference values generated before and in the day by a peak clipping load calculation formula through the peak clipping load calculation formula combined with data given by a day-ahead load planning module, a day-in load planning module and a real-time load response module through the peak clipping load calculation formula, further calculating a heat energy supply mode for providing the peak clipping load value with the minimum cost of corresponding grade heat energy, realizing grade-to-mouth and step utilization of heat energy, improving the utilization rate of heat energy, and reducing the energy supply cost of heat energy.
The heat energy grade identification module comprises a first thermocouple for measuring the temperature of the low-grade heat energy medium, a second thermocouple for measuring the temperature of the medium-grade heat energy medium and a third thermocouple for measuring the temperature of the high-grade heat energy medium.
The first thermocouple, the second thermocouple and the third thermocouple are arranged, so that the thermocouples with different temperature ranges can be used for measuring the temperature of the heat medium, the temperature of the heat medium can be conveniently measured by the third thermocouple with a large range in advance, the first thermocouple and the second thermocouple are prevented from being damaged due to overhigh temperature, the temperature of the heat medium can be selected by recursion according to the measurement result, and if the measured temperature of the heat medium is just within the temperature range of the high-grade heat medium, the temperature data of the heat medium measured by the third thermocouple can be directly recorded as the basis for selecting the heat supply equipment group.
In the peak clipping load calculation formula, A is an influence factor on the whole peak clipping load generated by the difference value between the load value planned by the day-ahead load planning module and the load value planned by the real-time load response module, B is an influence factor on the whole peak clipping load generated by the difference value between the load value planned by the day-ahead load planning module and the load value planned by the real-time load response module, and A and B both obtain experience values through accumulated historical data matrixes after multiple operation experiences of a factory.
According to multiple times of historical data of the factory park, a plurality of groups of historical data matrixes formed by the load difference value before the peak clipping, the load difference value before the day and the load difference value in the day can be obtained, then representative experience values of A and B are obtained through multiple times of iteration and verification according to multiple groups of different historical data, valuable reference experience values are provided for evaluating the peak clipping heat energy supply cost, guiding basis is provided for the operation energy consumption of the factory park, excessive heat loss and energy supply cost caused by heat default are avoided, the peak clipping load calculation module can send the calculated peak clipping load value to the peak clipping cost calculation module to be used for calculating the energy supply cost of the peak clipping load in the comprehensive cost, and further the comprehensive consideration of the comprehensive cost on the energy consumption cost is conveniently realized.
The difference complementing module is used for selecting a supply equipment group of corresponding grade heat energy in the heat energy supply module according to the grade of the heat energy identified by the heat energy grade identification module, recording the equipment type number of the equipment group meeting the requirement as n, and recording the unit heat supply unit price of each equipment as S i 。
The difference compensation module selects and selects an equipment group capable of realizing the corresponding grade heat energy supply requirement according to the heat energy grade identified by the heat energy grade identification module, and then selects and uses lower energy cost in the equipment group, the energy cost at this time is related to a plurality of factors, wherein the first time is the corresponding step length of the load, the step length of the load response is combined to the corresponding energy supply cost so as to select the most economical energy supply equipment, the preselected equipment in the heat energy supply module enters a pre-starting state, a foundation is laid for the starting and adjustment of the subsequent energy supply equipment, the response directionality of the equipment starting and the adjustment are enhanced, and the equipment response speed is increased.
In the peak clipping cost calculation module, the cost of each device for providing peak clipping difference to supplement heat energy is recorded as C i Then, the calculation formula of the peak clipping difference successive compensation heat energy cost is as follows:
the unit peak clipping difference provided by each equipment is progressively compensated and heat energy is quantized into S i Reuse of the formula
And the cost of peak clipping difference progressive heat energy supplement is calculated, so that calculation data can be conveniently provided for a subsequent self-optimization calculation result output module, and a basis is conveniently provided for a heat energy supply module to select energy supply equipment.
And recording default cost generated by unit power successive compensation difference as C by the self-optimization-approaching calculation result output module ob The total cost is denoted as C all Comprehensive cost C all The calculation formula of (c) is:
。
by calculation of formula
Can make the cost of comprehensive consideration peak clipping margin successive compensation cost and thermal default produced cost simultaneously, and then can be more accurate reaction in the sum of the cost that thermal response in-process energy supply and default produced, the economic loss that every kind of energy supply equipment produced of the more accurate judgement of being convenient for, combine the combined action of the biggest energy supply ability of equipment and comprehensive cost, select can provide peak clipping load and sufficient equipment of function, the economic optimum equipment letter that will select outThe information is fed back to the heat energy supply module, and then the equipment with the optimal economy is selected from the equipment pre-started by the heat energy supply module to be started or parameter-regulated according to the equipment operation parameters processed by the self-optimization calculation result output module, so that the energy supply equipment can supply the energy supply capacity required by the load peak value according to the peak clipping load value.
The specific process of the self-optimizing control system for the comprehensive energy source is as follows:
the method comprises the following steps: the day-ahead load planning module makes a heat energy utilization plan 48 hours ahead of time according to a factory production plan, makes a day-ahead energy utilization plan curve and transmits the day-ahead energy utilization plan curve to a self-optimization-seeking control system of a factory park;
step two: a daily load planning module makes a heat energy utilization plan on the current production day, makes a daily energy utilization plan curve and transmits the daily energy utilization plan curve to a self-optimization-seeking control system of a factory park;
step three: the real-time load response module records the heat energy utilization predicted value of the load within 8 hours before actual production and makes a real-time response load curve;
step four: the heat energy grade identification module identifies the temperature of the heat energy medium of the calculated heat energy utilization curve and identifies the grade of the heat energy according to the temperature of the heat energy medium;
step five: feeding the heat grade identified by the heat grade identification module back to the heat supply module, and selecting the heat supply equipment suitable for the heat grade;
step six: calculating a peak clipping load value by using a peak clipping load calculation module;
step seven: transmitting the load value of peak clipping to a difference successive compensation module and selecting a successive compensation difference target equipment group;
step eight: transmitting the unit heat supply unit price of the equipment group with the successive compensation difference to a peak clipping cost calculation module to calculate the peak clipping difference successive compensation cost;
step nine: calculating the comprehensive cost according to the equipment information and the unit heat default unit price;
step ten: and positioning the heating equipment according to the calculated comprehensive cost and performing corresponding parameter adjustment.
The self-optimization-seeking control system for the comprehensive energy source provided by the invention can firstly identify an energy use plan curve through a reasonable flow and judgment logic, then calculates the peak clipping load difference value of real-time response by combining a peak clipping load calculation module, judges the economical efficiency of equipment energy supply according to the energy supply cost generated by violating the purchased heat seal, ensures that the heat supply equipment realizes economic optimization while meeting the requirement of peak clipping margin load successive compensation, and gradually approaches the load curve of real-time response to weaken sudden energy supplement and loss caused by reduction.
In summary, the invention can also measure the temperature of the heat medium by measuring thermocouples with different temperature ranges through the arrangement of the first thermocouple, the second thermocouple and the third thermocouple, so as to facilitate the use of the third thermocouple with a large range to measure the temperature of the heat medium in advance, avoid the damage of the first thermocouple and the second thermocouple caused by overhigh temperature, and then select the first thermocouple or the second thermocouple to measure the temperature of the heat medium in a recursion manner according to the measurement result. According to multiple sets of historical data of the factory park, a plurality of sets of historical data matrixes formed by the load difference value before the peak clipping, the load difference value before the day and the load difference value in the day can be obtained, and then representative experience values A and B are obtained through multiple iterations and verifications according to multiple sets of different historical data, so that valuable reference experience values are provided for estimating the peak clipping heat energy supply cost, guiding basis is provided for the operation energy consumption of the factory park, excessive heat loss and energy supply cost caused by heat default are avoided, the peak clipping load calculation module can send the calculated peak clipping load value to the peak clipping cost calculation module to be used for calculating the energy supply cost of the peak clipping load in the comprehensive cost, and further comprehensive consideration of the comprehensive cost on the energy consumption cost is facilitated. The difference compensation module selects and selects heat energy supply with corresponding grade according to the grade of the heat energy identified by the heat energy grade identification moduleThe energy consumption cost is related to a plurality of factors, wherein the first step is the corresponding step length of the load, and the most economical energy supply equipment is selected by combining the corresponding energy supply cost with the step length of the load response, so that the pre-selected equipment in the heat energy supply module enters a pre-starting state, the foundation is laid for starting and adjusting the subsequent energy supply equipment, the directionality of equipment starting and adjusting response is enhanced, and the equipment response speed is increased. The unit peak clipping difference provided by each equipment is progressively compensated and heat energy is quantized into S i Reuse of the formula
And the peak clipping difference successive compensation heat energy cost is calculated, so that a basis is provided for the subsequent selection of energy supply equipment. By calculation of formula
The method can enable the comprehensive cost to simultaneously consider peak clipping margin compensation cost and cost generated by thermal default, and further can more accurately reflect the sum of energy supply cost and cost generated by default in the thermal response process, so that economic loss generated by each type of energy supply equipment can be more accurately judged, equipment which can provide peak clipping load and has sufficient functions is selected by combining the combined action of the maximum energy supply capacity and the comprehensive cost of the equipment, the selected economically optimal equipment information is fed back to the heat energy supply module, and then the economically optimal equipment is selected from the equipment pre-started by the heat energy supply module to be started or parameter-regulated according to the equipment operation parameters processed by the self-optimization calculation result output module, so that the energy supply equipment can supply energy supply capacity required by a load peak value according to the peak clipping load value. The self-optimization-seeking control system for the comprehensive energy source provided by the invention can firstly identify an energy source use plan curve through reasonable flow and judgment logic, then calculates the peak clipping load difference value of real-time response by combining a peak clipping load calculation module, judges the economical efficiency of equipment power supply according to the energy supply cost generated by violating the purchased heat seal and finally takes the comprehensive value of the peak clipping load difference value and the energy supply cost to ensure that the heat supply equipment meets the requirement of successive compensation of peak clipping difference load and simultaneously realizes the purpose of successive compensation of peak clipping difference loadEconomically, the load curve of the real-time response is gradually approached to weaken the loss caused by sudden energy supplement and reduction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the description of the specification, reference to the description of "one embodiment," "some embodiments," "an example," "a specific example," or "some examples" or the like means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are exemplary and not to be construed as limiting the present invention, and that changes, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (1)
1. A self-optimization-seeking control system for comprehensive energy is characterized by comprising a heat energy supply module, a heat energy grade identification module, a peak load reduction calculation module, a difference compensation module, a peak cost reduction calculation module and a self-optimization-seeking calculation result output module, wherein the peak load reduction calculation module comprises a day-ahead load planning module, a day-inside load planning module, a real-time load response module and a peak load difference calculator, the day-ahead load planning module, the real-time load response module and the day-inside load planning module are all connected with the input end of the heat energy grade identification module, the output end of the heat energy grade identification module is connected with the input end of the peak load reduction calculation module, the output end of the peak load reduction calculation module is connected with the input end of the difference compensation module, the output end of the difference compensation module is connected with the heat energy supply module, the output end of the heat energy supply module is connected with the peak cost reduction calculation module, the feedback end of the peak cost reduction is connected with the peak load calculation module, the output end of the peak cost reduction is connected with the self-seeking calculation result, and the self-seeking calculation result output end of the peak cost calculation module is connected with the feedback end of the peak load reduction calculation module; the heat energy grade identification module determines the grade of a heat energy gap by measuring the temperature of a heat medium through a thermocouple, and then feeds the heat energy gap with the determined grade of the heat energy gap back to the heat energy supply module, a peak clipping load difference calculator in the peak clipping load calculation module utilizes a factory day-ahead planning load value arranged in the day-ahead load planning module and a factory day-in planning load value arranged in the day-in load planning module to respectively subtract the sum of the supply loads of all energy-using equipment monitored by the real-time load response module in real time, and after the subtraction and the square, the peak clipping load obtained by adding a root value and carrying out equivalent dimensionalization transformation is used for representing the total load value comprehensively considering day-ahead load response peak value weakening and day-in load peak value weakening according to the proportion of load real-time response step length respectively occupying the planning time and multiplying the empirical coefficient, the peak clipping load value calculated by the peak clipping load calculation module is fed back to the difference successive compensation module to calculate the peak clipping difference successive compensation heat energy cost, the self-trend optimization calculation result output module uses the difference successive compensation module feedback value and the feedback value of the peak clipping load calculation module to carry out comprehensive cost to obtain the minimum value, then the minimum value is fed back to the difference successive compensation module selection equipment, the selected equipment result is transmitted to the heat energy supply module to pre-start the selected equipment, the self-trend optimization result output module is used for converting the self-trend optimization result into the actual equipment operation parameter through a parameter converter to regulate and control the equipment regulation parameter in the self-trend optimization in the heat energy supply module, and the calculation formula of the peak clipping load is as follows:
wherein the load value planned by the day-ahead load planning module is recorded as P by the peak clipping load difference calculator bef And the load value planned by the load planning module in the day is recorded as P day And the load value of the real-time load response module is recorded as P now The load at peak clipping is recorded as delta P, and the real-time load response step length is recorded as delta t; the heat energy grade identification module comprises a first thermocouple for measuring the temperature of a low-grade heat energy medium, a second thermocouple for measuring the temperature of a medium-grade heat energy medium and a third thermocouple for measuring the temperature of a high-grade heat energy medium; in the peak clipping load calculation formula, A is an influence factor on the whole peak clipping load generated by a difference value between a load value planned by the day-ahead load planning module and a load value planned by the real-time load response module, B is an influence factor on the whole peak clipping load generated by a difference value between a load value planned by the day-ahead load planning module and a load value planned by the real-time load response module, and A and B both obtain experience values through accumulated historical data matrixes after multiple operation experiences of a factory; the difference compensation module is used for selecting a supply equipment group of corresponding grade heat energy in the heat energy supply module according to the grade of the heat energy identified by the heat energy grade identification module, recording the equipment type number of the equipment group meeting the requirements as n, and recording the unit heat supply unit price of each equipment as S i (ii) a In the peak clipping cost calculation module, the cost of each device for providing peak clipping difference to supplement heat energy is recorded as C i Then, the calculation formula of the peak clipping margin decreasing and supplementing heat energy cost is as follows:
C i ＝ΔP*S i (ii) a The self-optimization-seeking calculation result output module records default cost generated by unit power successive compensation difference as C ob Will integrate the total costIs marked as C all Comprehensive cost C all The calculation formula of (2) is as follows:
the method comprises the following steps: the day-ahead load planning module makes a heat energy utilization plan 48 hours ahead of time according to a factory production plan, makes a day-ahead energy utilization plan curve and transmits the day-ahead energy utilization plan curve to a self-optimization-seeking control system of a factory park;
step two: a daily load planning module makes a heat energy utilization plan on the current production day, makes a daily energy utilization plan curve and transmits the daily energy utilization plan curve to a self-optimization-seeking control system of a factory park;
step three: the real-time load response module records the heat energy utilization predicted value of the load within 8 hours before actual production and makes a real-time response load curve;
step four: the heat energy grade identification module identifies the temperature of the heat energy medium of the calculated heat energy utilization curve and identifies the grade of the heat energy according to the temperature of the heat energy medium;
step five: feeding the heat grade identified by the heat grade identification module back to the heat supply module, and selecting the heat supply equipment suitable for the heat grade;
step six: calculating a peak clipping load value by using a peak clipping load calculation module;
step seven: transmitting the load value of peak clipping to a difference successive compensation module and selecting successive compensation difference target equipment groups;
step eight: transmitting the unit heat supply unit price of the equipment group with the successive compensation difference to a peak clipping cost calculation module to calculate the peak clipping difference successive compensation cost;
step nine: calculating the comprehensive cost according to the equipment information and the unit heat default unit price;
step ten: and positioning the heating equipment according to the calculated comprehensive cost and carrying out corresponding parameter adjustment.
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