CN102298371A - Distributed combined cooling and power supply system and control method thereof - Google Patents
Distributed combined cooling and power supply system and control method thereof Download PDFInfo
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Abstract
The invention discloses a distributed combined cooling and power supply system control method, which comprises the steps of: initializing system running state and system data, wherein the data system comprises preset system thermodynamic parameters; acquiring system running data; and conducting calculation according to the running data and the system data to obtain system thermodynamic parameters. If the system thermodynamic parameters do not satisfy the preset system thermodynamic parameters, the power of power generation equipment is adjusted. Otherwise, the power of the power generation equipment is maintained unchanged. The invention additionally discloses a distributed combined cooling and power supply system, which has the advantages that the automatic control can be realized, the control ability of the system is improved, the running efficiency of the system is improved and the economic benefit is improved.
Description
Technical field
The present invention relates to electric power supply control field, be specifically related to a kind of distributed combined cooling and power system.
Background technology
Distributed combined cooling and power system is a kind of novel energy resource supply pattern, and it is deployed in user side, adopts clean fuel, and various energy resources form such as electric, cold can be provided simultaneously.Distributed combined cooling and power system exists simultaneously in the general and big network system of user side and other traditional cold energy supply systems, realize distributed combined cooling and power system and other systems coordinated, optimize the running technology scheme of operation, be one of the gordian technique of the advantage of the distributed combined cooling and power system high efficiency of performance, energy-conservation, low-carbon (LC).
The present running technology scheme major function that generally adopts comprises with electricity decides two kinds of patterns of cold-peace electricity determining by cold.Generating set and refrigeration plant in the distributed combined cooling and power system have correlativity, after the general generating set consume fuel, produce electric power and produce high-temperature flue gas simultaneously, and refrigeration plant then utilizes the high-temperature flue gas heat to produce cold.With the fixed cold pattern of electricity, promptly according to the electric load demand of user side, generating set adjustment load reaches the electricity supply and demand balance, and the output power of refrigeration plant cold energy then depends on electric load.The electricity determining by cold pattern, promptly according to the refrigeration duty demand of user side, the refrigeration plant adjustment is exerted oneself and is reached cold balance between supply and demand, and artificially adjusts the power of generating set according to refrigerating capacity, and the electric power output power depends on user's refrigeration duty demand but not the electric load demand.
But, only the control system that carries with generating set or refrigeration plant realizes control, and its range of control only limits to individual equipment, function singleness, does not have the ability that total system is optimized control, cause the operational efficiency of system low, less economical, be difficult to realize the project benefit of expecting; And automaticity is low.
Summary of the invention
The invention discloses a kind of distributed combined cooling and power system control method, can realize robotization control, improve the control ability of system, improve the operational efficiency of system, increase economic efficiency.
The invention discloses a kind of distributed combined cooling and power system control method, comprise step:
S1, initialization system running status and system data; Wherein, described system data comprises default system's thermal parameter;
S2, acquisition system operational factor;
S3, calculate system's thermal parameter according to described system operational parameters and described system data;
S4, judge whether to adjust generating set power according to described system thermal parameter and described default system's thermal parameter, if, then adjust generating set power, if not, it is constant then to keep generating set power.
The invention also discloses a kind of distributed combined cooling and power system, wherein, comprising: database module, at least one data acquisition module and optimal control module and at least 2 local I/O controllers;
Wherein, the other end of described data acquisition module is connected with described optimal control module, and the other end is connected with measuring equipment by described local I/O controller; Be used to obtain the system operational parameters that measuring equipment records;
Described database module is connected with described data acquisition module, described optimal control module, is used for memory system data; Described system data comprises: described system thermal parameter, default system's thermal parameter;
Described optimal control module is connected with generating set by described local I/O controller; Be used for the initialization system running status and calculate described system thermal parameter according to described system operational parameters and described system data; And judge whether to adjust generating set power according to described system thermal parameter and described default system's thermal parameter, if, then adjust generating set power, if not, it is constant then to keep generating set power.
The present invention is the initialization system running status when system start-up; The service data of acquisition system and upload to background data base after the system start-up, the service data of reading system is optimized calculating from background data base, obtain corresponding system thermal parameter, again by comparing with system's thermal parameter of presetting, if satisfy default system's thermal parameter, the generating set power of Adjustment System not then, if do not satisfy, the generating set power of Adjustment System then; The realization robotization is controlled, and has improved the operational efficiency of system, increases economic efficiency; Can realize economic optimum pattern, energy utilization rate optimization model, electricity determining by cold pattern, with the control of fixed cold pattern of electricity and mixed mode, improved the control ability of system.
Description of drawings
Fig. 1 is an embodiment synoptic diagram of the inventive method;
Fig. 2 is another embodiment synoptic diagram of the inventive method;
Fig. 3 is another embodiment synoptic diagram of the inventive method;
Fig. 4 is another embodiment synoptic diagram of the inventive method;
Fig. 5 is another embodiment synoptic diagram of the inventive method;
Fig. 6 is a structural representation of system of the present invention;
Fig. 7 is another structural representation of system of the present invention.
Embodiment
For ease of understanding the present invention, set forth below in conjunction with accompanying drawing.
The invention discloses a kind of distributed combined cooling and power system control method,, comprise step with reference to figure 1:
101, initialization system state and systematic parameter;
Initialization system running status and system data; Wherein, system data comprises default system's thermal parameter.
102, acquisition system operational factor;
103, according to systematic parameter and operational factor computing system thermal parameter;
Calculate system's thermal parameter according to system operational parameters and system data.
104, if system's thermal parameter satisfies condition the then uncomfortable electric power of haircuting; If do not satisfy, then adjust.
Judge whether to adjust generating set power according to system's thermal parameter and default system's thermal parameter, if, then adjust generating set power, if not, it is constant then to keep generating set power.
The present invention is the initialization system running status when system start-up; The service data of acquisition system and upload to background data base after the system start-up, the service data of reading system is optimized calculating from background data base, obtain corresponding system thermal parameter, again by comparing with system's thermal parameter of presetting, if satisfy default system's thermal parameter, the generating set power of Adjustment System not then, if do not satisfy, the generating set power of Adjustment System then; The realization robotization is controlled, and has improved the operational efficiency of system, increases economic efficiency; Can realize economic optimum pattern, energy utilization rate optimization model, electricity determining by cold pattern, with the control of fixed cold pattern of electricity and mixed mode, improved the control ability of system.
Wherein, before step 104, preestablish the time interval, the time interval arrives, and then carry out step 104, and the configuration optimization control system adapts to different occasions so flexibly.
Realization of the present invention need be set up thermodynamic model by mathematical method, and these models should comprise main thermal parameter, as electric power, efficient, exhaust gas volumn, flue-gas temperature, back pressure, the environment temperature of generating set; The refrigeration work consumption of flue gas refrigeration plant, exhaust gas volumn, flue-gas temperature, power consumption; The refrigeration work consumption of electricity refrigeration plant, power consumption etc.Mathematical model is mainly expressed the funtcional relationship between the thermal parameter, to generating set, mainly comprises following funtcional relationship: efficient=f (electric power, back pressure, environment temperature); Exhaust gas volumn=f (electric power, environment temperature); Flue-gas temperature=f (electric power, environment temperature); Back pressure=f (exhaust gas volumn, flue-gas temperature) etc.To the flue gas refrigeration plant, mainly comprise following funtcional relationship: refrigeration work consumption=f (exhaust gas volumn, flue-gas temperature); Power consumption=f (refrigeration work consumption) etc.To electric refrigeration plant, mainly comprise following funtcional relationship: refrigeration work consumption=f (power consumption) etc.These funtcional relationships can be the forms of matched curve, can be the forms of tables of data also, and the most all funtcional relationships combine, and form the mathematical model of sequencing with the method for computer programming.By these mathematical models, can under the condition of given input variable, obtain output variable.Basic calculating formula is the variable formula that obtains according to physical relation, the relation between expression system internal state variable and control variable.Mainly comprise:
Electrical load requirement=generating set power+interconnection power-flue gas refrigeration plant power consumption-electric refrigeration plant power consumption;
Refrigeration duty demand=flue gas refrigerating device refrigeration power+electric refrigerating device refrigeration power;
Real time execution cost=fuel flow rate * fuel price+outsourcing electric power * outsourcing electricity price-send outside electric power * send outside electricity price;
Real-time efficiency of energy utilization=(generating set electric power+flue gas refrigerating device refrigeration power) ÷ (fuel flow rate * fuel value);
Flue gas refrigerating device refrigeration power=(chilled water inlet temperature-chilled water outlet temperature) * chilled-water flow * chilled water specific heat;
If: electrical load requirement+flue gas refrigeration plant optimization operation power consumption+electric refrigeration plant optimization operation power consumption-generating set optimization operation electric power＞0; Optimize operating cost=generating set optimization operation electric power ÷ and optimize operational efficiency ÷ fuel value * fuel price+(electrical load requirement+flue gas refrigeration plant optimization operation power consumption+electric refrigeration plant optimization operation power consumption-generating set optimization operation electric power) * outsourcing electricity price
If: electrical load requirement+flue gas refrigeration plant optimization operation power consumption+electric refrigeration plant optimization operation power consumption-generating set optimization operation electric power＜0; Optimize operating cost=generating set optimization operation electric power ÷ generating set and optimize operational efficiency ÷ fuel value * fuel price+(electrical load requirement+flue gas refrigeration plant optimization operation power consumption+electric refrigeration plant optimization operation power consumption-generating set optimization operation electric power) * send outside electricity price;
Optimize operation efficiency of energy utilization=(generating set optimization operation electric power+flue gas refrigeration plant is optimized running refrigerating power) ÷ (generating set optimization operation electric power ÷ generating set is optimized operational efficiency);
Last on the basis of mathematical model and basic calculating formula, add optimized Algorithm.Optimized Algorithm is multiobject, according to different operational modes, determines different optimization aim.The basic thought of optimized Algorithm is: under certain system's external constraint, can there be multiple running status to satisfy the energy equilibrium of system, according to system mathematic model and basic calculating formula, can calculate might running status variable, according to the optimization aim variable of different operational modes, optimize optimum running status.Optimized Algorithm can adopt genetic algorithm or other algorithms.
The present invention can realize economic optimum pattern, energy utilization rate optimization model, electricity determining by cold pattern, with the control of fixed cold pattern of electricity and mixed mode; To introduce the realization of various control models respectively below.
At first introduce the economic optimum pattern: the controlled target of economy optimization model is that operating cost is minimum, control variable is a generating set power, control strategy is: according to the service data of data acquisition system (DAS), utilize program to calculate: actual refrigeration duty and electrical load requirement and real time execution cost, and further calculate generating set power and the corresponding optimization operating cost of optimizing operation, and then by control generating set power, the Adjustment System running status makes system all be tending towards the cost minimum state in the whole service stage.
With reference to figure 2, comprise step:
201, initialization system power and setting cost threshold values;
With the starter system running status of a last cycle of operation system running state as this cycle of operation; System data also comprises: fuel price, outsourcing electricity price, send the cost threshold values of electricity price and setting outside.
202, if cooling and heating load balance, then acquisition system operational factor;
When system's cooling and heating load balance, acquisition system operational factor then, wherein system operational parameters comprises: generating set power, user and outer net interconnection power, flue gas refrigeration plant power consumption, electric refrigeration plant power consumption and fuel flow rate, outsourcing electric power, send electric power outside.
203, calculate refrigeration duty, electrical load requirement and real time execution cost according to operational factor;
Calculate according to system operational parameters, obtain actual refrigeration duty demand, electrical load requirement and current real time execution cost.
204, be optimized to calculate according to refrigeration duty, electrical load requirement and optimize operate power and expection operating cost;
Be optimized calculating according to actual refrigeration duty demand and electrical load requirement, the operate power that is optimized and expection operating cost.
205, whether the real time execution cost surpasses the cost threshold values of setting with the difference of expection operating cost;
Calculate the difference that current real time execution cost deducts expection operating cost, judge whether the cost difference surpasses the cost threshold values of setting; If, then carry out step 206, if not, then carry out step 207.
206, whether surpass for n time continuously;
Judge whether continuous n time (the n value can be set according to actual conditions, and n is more than or equal to 1) surpasses the cost threshold values of setting to the cost difference, if, then carry out step 208, if not, then carry out step 207.
207, do not adjust;
It is constant to keep generating set power, and returns step 203, until system-down.
208, will optimize operate power as generating set power.
To optimize operate power as generating set power, and return step 203 until system-down.
Then efficiency of energy utilization optimization model: the controlled target of efficiency of energy utilization optimization model is that distributed combined cooling and power system efficiency of energy utilization is the highest, control variable is a generating set power, control strategy is: according to the service data of data acquisition system (DAS), utilize program to calculate: actual refrigeration duty and electrical load requirement and real-time efficiency of energy utilization, and further utilize program to calculate and optimize the generating set power and corresponding optimization operation efficiency of energy utilization that moves, and then by control generating set power, the Adjustment System running status makes system all be tending towards the high state of efficiency of energy utilization in the whole service stage.
With reference to figure 3, comprise step:
301, initialization system power and setting utilization factor threshold values;
With the starter system running status of a last cycle of operation system running state as this cycle of operation; System data also comprises: the utilization factor threshold values of fuel value and setting.
302, if cooling and heating load balance, then acquisition system operational factor;
If system's cooling and heating load balance, acquisition system operational factor then, wherein system operational parameters comprises: generating set power, user and outer net interconnection power, flue gas refrigeration plant power consumption, electric refrigeration plant power consumption and fuel flow rate.
303, calculate refrigeration duty, electrical load requirement and real-time energy utilization rate according to operational factor;
Be optimized calculating according to system operational parameters, obtain actual refrigeration duty demand, electrical load requirement and real-time efficiency of energy utilization.
304, be optimized to calculate according to refrigeration duty, electrical load requirement and optimize operate power and expection energy utilization rate;
Calculate the operate power that is optimized and expection efficiency of energy utilization according to actual refrigeration duty demand and electrical load requirement.
305, whether the difference of energy utilization rate and expection energy utilization rate surpasses the utilization factor threshold values of setting in real time;
Calculate the difference that real-time efficiency of energy utilization deducts the expection efficiency of energy utilization, judge whether the utilization ratio difference surpasses the utilization factor threshold values of setting; If, then carry out step 306, if not, then carry out step 307.
306, whether surpass for n time continuously;
Judge that whether continuous n time (the n value can be set according to actual conditions, and n is more than or equal to 1) surpasses the utilization factor threshold values of setting to the utilization ratio difference, if not, then carry out step 307, if then carry out step 308.
307, do not adjust;
It is constant to keep generating set power, and returns step 303, until system-down.
308, will optimize operate power as generating set power.
Optimization operate power when the n time is calculated is as generating set power, and returns step 303 until system-down.
And then introduce the electricity determining by cold pattern: the controlled target of electricity determining by cold pattern is with distributed co-feeding system balance user refrigeration duty demand, control variable is still generating set power, control strategy is: according to the service data of data acquisition system (DAS), utilize program to calculate: actual refrigeration duty demand, and further utilize program to calculate corresponding required generating set operate power, make distributed co-feeding system satisfy the refrigeration duty demand by adjusting generating set power.
With reference to figure 4, comprise step:
401, initialization system power and set first power threshold;
With the starter system running status of a last cycle of operation system running state as this cycle of operation; System data comprises: first power threshold of setting.
402, if cooling and heating load balance, then acquisition system operational factor;
If system's cooling and heating load balance, acquisition system operational factor then, wherein system operational parameters comprises: generating set power, user and outer net interconnection power, flue gas refrigeration plant power consumption, electric refrigeration plant power consumption.
403, calculate refrigeration duty and real time execution power according to operational factor;
Calculate according to system operational parameters, obtain actual refrigeration duty demand and real time execution power; Wherein system's thermal parameter comprises: refrigeration duty demand, actual motion power and optimization operate power.
404, be optimized according to the refrigeration duty demand and calculate the optimization operate power;
Determine the running refrigerating amount of refrigeration preparation according to actual refrigeration duty demand, calculate the optimization operate power according to the running refrigerating amount of refrigeration plant.
405, whether optimize the difference of operate power and real time execution power above first power threshold of setting;
The calculation optimization operate power deducts the difference of real time execution power, judges whether the power difference surpasses first power threshold of setting, if, then carry out step 406, if not, then carry out step 407; Wherein, first power threshold of Yu She system's thermal parameter for setting.
406, whether surpass for n time continuously;
Judge whether the power difference surpasses first power threshold of setting n time continuously, if then carry out step 408; If not, then carry out step 407;
407, do not adjust;
It is constant to keep generating set power, and returns step 403, until system-down.
408, will optimize operate power as generating set power.
Optimization operate power when the n time is calculated is as generating set power, and returns step 403, until system-down.
Then introduce with the fixed cold pattern of electricity: the controlled target with the fixed cold pattern of electricity is with distributed combined cooling and power system balancing user electrical load requirement, control variable is still generating set power, control strategy is: the interconnection power of following the tracks of user and external power grid, feedback regulation by control system, constantly adjust generating set power, make interconnection power reduce to floor level.
With reference to figure 5, comprise step:
501, initialization system power and adjusted value constant second power threshold;
Generating set is started the interconnection power of preceding user and external power grid as generating set initial launch power; Wherein, system data comprises: the adjusted value constant.
502, acquisition system operational factor;
The acquisition system operational factor, system operational parameters comprises: the generating set operate power.
503, according to the user after the startup of operational factor tracker and the interconnection power of external power grid;
According to the user after the startup of generating set operate power change value trace generating set and the interconnection power of external power grid; System's thermal parameter comprises: the user after generating set operate power change value and generating set start and the interconnection power of external power grid.
504, whether the interconnection power after the system start-up deducts the difference of second power threshold of setting smaller or equal to 0;
Whether the interconnection power of judging user after the institute generating set starts and external power grid deducts the difference of second power threshold of setting smaller or equal to 0, if, then carry out step 505, if not, then carry out step 506.
505, whether difference is not equal to 0 n time continuously;
Judge that whether difference is not equal to 0 n time continuously, if then carry out step 505, if not, then carry out step 506.
505, calculate adjusting values utilizes adjusted value to adjust generating set power;
Calculate first adjusted value: the absolute value of the user after generating set starts and the interconnection power of external power grid deducts the difference of second power threshold of setting and takes advantage of in the adjusted value constant again, the user after if generating set starts and the interconnection power of external power grid be on the occasion of, first adjusted value that then superposes arrives generating set power; If the user after generating set starts and the interconnection power of external power grid are negative value, then with generating set power reduction first adjusted value, and return step 503, until system-down.
506, do not adjust;
It is constant to keep generating set power, and returns step 503, until system-down.
In order to reduce the adjustment error, improve accuracy, can do further improvement to Fig. 5 embodiment:
Difference through step 504 is judged, if n time (the n value can be set according to actual conditions continuously, n is more than or equal to 1), difference is not equal to 0, then do not calculate first adjusted value in step 505, and calculate second adjusted value: the user after the generating set during the n time calculating starts and the interconnection power of external power grid deduct the difference of second power threshold of setting and take advantage of in the adjusted value constant again; If the power difference in the step 504 is greater than 0, second adjusted value that then superposes is to generating set power; If the power difference in the step 504 is less than 0, then with generating set power reduction second adjusted value; And return step 503, until system-down.
If n time continuously, the power difference in the step 504 equals 0, then forwards step 506 to.
Among the above embodiment, can carry out n difference and judge,, reduce departure, also can not carry out n difference and judge, only carry out once, just adjust or do not adjust to improve accuracy.
Introduce system of the present invention below, with reference to figure 6, a kind of distributed combined cooling and power system comprises:
Database module Q11, at least one data acquisition module Q21 and optimal control module Q22 and at least 2 local I/O controllers (Q31, Q32);
Wherein, be used to obtain the data acquisition module Q21 of the system operational parameters that measuring equipment records, the other end is connected with optimal control module Q22, and the other end is connected with measuring equipment by local I/O controller Q31;
The database module Q11 that is used for memory system data is connected with data acquisition module Q21, optimal control module Q22; System data comprises: system's thermal parameter, default system's thermal parameter;
Optimal control module Q22 is connected with generating set by local I/O controller Q32; Be used for the initialization system running status and calculate system's thermal parameter according to system operational parameters and system data; And judge whether to adjust generating set power according to system's thermal parameter and default system's thermal parameter, if, then adjust generating set power, if not, it is constant then to keep generating set power.
The present invention is by a kind of brand-new combined cooling and power system of framework, initialization system running status when system start-up; The service data of acquisition system and upload to background data base after the system start-up, optimal control module service data of reading system from background data base is optimized calculating, obtain corresponding system thermal parameter, again by comparing with system's thermal parameter of presetting, if satisfy default system's thermal parameter, the generating set power of Adjustment System not then, if do not satisfy, the generating set power of Adjustment System then; The realization robotization is controlled, and has improved the operational efficiency of system, increases economic efficiency; Realize economic optimum pattern, energy utilization rate optimization model, electricity determining by cold pattern, with the control of fixed cold pattern of electricity and mixed mode, improved the control ability of system.
Introduce another embodiment of system of the present invention below, with reference to figure 7, a kind of distributed combined cooling and power system comprises: operation interface and display module T11 and database module T12, plurality of data acquisition module (T21, T22) and some optimal control modules (T23, T24) and some local I/O controllers (T31, T32, T33, T34, T35 and T36); One end of data acquisition module, optimal control module is connected with database module T12 with display module T11 with operation interface respectively; Data acquisition module T21 is connected with measuring equipment by local I/O controller T31, T32, data acquisition module T22 is connected with measuring equipment by local I/O controller T33, and optimal control module T23 is connected with generating set by local I/O controller T34, T35; Optimal control module T24 is connected with generating set by local I/O controller T36.
In each layer, the number of each submodule does not limit, and can have a plurality ofly can have only single submodule yet.
Its principle of work is: the optimal control module is when system start-up, and the related data initialization system running status of reading database is issued to generating set by local I/O controller; After the system start-up, the service data of data collecting module collected system also uploads to background data base; Optimal control module service data of reading system from background data base is optimized calculating, obtain corresponding system thermal parameter, again by (in operation interface and display module, being provided with in advance with system's thermal parameter of presetting, and be stored in database) compare, if satisfy default system's thermal parameter, the generating set power of Adjustment System not then, if do not satisfy, the generating set power of Adjustment System then; In whole control process, carry out interface operation, demonstration and the monitoring related content of system by operation interface and display module.
Wherein, storage in advance is optimized the time of control in database, and this time arrives, and the optimal control module is just carried out related operation and optimal control adjustment.The configuration optimization control system adapts to different occasions so flexibly.
In operational process of the present invention, in order to reduce departure, can be further improved its principle: through the difference computing of optimal control module, if n time continuously, system's thermal parameter does not satisfy default system's thermal parameter, then optimal control module is adjusted generating set power, otherwise it is constant that the optimal control module is kept generating set power.
The present invention also can be applied in the heating installation control system.
Above-described embodiment of the present invention does not constitute the qualification to protection domain of the present invention.Any modification of being done within the spirit and principles in the present invention, be equal to and replace and improvement etc., all should be included within the claim protection domain of the present invention.
Claims (13)
1. a distributed combined cooling and power system control method is characterized in that, comprises step:
S1, initialization system running status and system data; Wherein, described system data comprises default system's thermal parameter;
S2, acquisition system operational factor;
S3, calculate system's thermal parameter according to described system operational parameters and described system data;
S4, judge whether to adjust generating set power according to described system thermal parameter and described default system's thermal parameter, if, then adjust generating set power, if not, it is constant then to keep generating set power.
2. distributed combined cooling and power system control method according to claim 1 is characterized in that,
Preestablish the time interval, the described time interval arrives, and then carries out described step S4.
3. distributed combined cooling and power system control method according to claim 1 and 2 is characterized in that,
In described step S1, with the starter system running status of a last cycle of operation system running state as this cycle of operation; Described system data also comprises: fuel price, outsourcing electricity price and send electricity price outside;
When system's cooling and heating load balance, carry out described step S2, wherein said system operational parameters comprises: generating set power, user and outer net interconnection power, flue gas refrigeration plant power consumption, electric refrigeration plant power consumption and fuel flow rate, outsourcing electric power, send electric power outside;
Described system thermal parameter comprises: refrigeration duty demand, electrical load requirement and current real time execution cost, optimization operate power and expection operating cost;
Described step S3 is specially: calculate according to described system operational parameters, obtain actual refrigeration duty demand, electrical load requirement and current real time execution cost; Be optimized calculating according to described actual refrigeration duty demand and described electrical load requirement, the operate power that is optimized and expection operating cost;
The described default cost threshold values of system's thermal parameter for setting, described step S4 is specially: calculate the difference that current real time execution cost deducts expection operating cost, if described difference is more than or equal to the cost threshold values of setting, then described optimization operate power is as generating set power; If described difference is less than the cost threshold values of described setting, it is constant then to keep generating set power.
4. distributed combined cooling and power system control method according to claim 3, it is characterized in that, deduct the difference computing of expection operating cost through described current real time execution cost, if continuous n described difference is more than or equal to the cost threshold values of described setting, the optimization operate power when then the n time being calculated is as generating set power; If described difference is less than the cost threshold values of described setting, it is constant then to keep generating set power.
5. distributed combined cooling and power system control method according to claim 1 and 2 is characterized in that,
In described step S1, with the starter system running status of a last cycle of operation system running state as this cycle of operation; Described system data also comprises: fuel value;
When system's cooling and heating load balance, carry out described step S2, wherein said system operational parameters comprises: generating set power, user and outer net interconnection power, flue gas refrigeration plant power consumption, electric refrigeration plant power consumption and fuel flow rate;
Described system thermal parameter comprises: refrigeration duty demand, electrical load requirement and current real time execution cost, optimization operate power and expection efficiency of energy utilization;
Described step S3 is specially: be optimized calculating according to described system operational parameters, obtain actual refrigeration duty demand, electrical load requirement and real-time efficiency of energy utilization; Calculate the operate power that is optimized and expection efficiency of energy utilization according to described actual refrigeration duty demand and described electrical load requirement;
The described default utilization factor threshold values of system's thermal parameter for setting, described step S4 is specially: calculate the difference that described real-time efficiency of energy utilization deducts the expection efficiency of energy utilization, if described difference is more than or equal to the utilization factor threshold values of setting, then with described optimization operate power as generating set power; If described difference is less than the utilization factor threshold values of described setting, it is constant then to keep generating set power.
6. distributed combined cooling and power system control method according to claim 5, it is characterized in that, deduct the difference computing of expection efficiency of energy utilization through described real-time efficiency of energy utilization, if n time continuously, described difference is more than or equal to the utilization factor threshold values of described setting, and the optimization operate power when then the n time being calculated is as generating set power; If described difference is less than the utilization factor threshold values of described setting, it is constant then to keep generating set power.
7. distributed combined cooling and power system control method according to claim 1 and 2 is characterized in that:
In described step S1, with the starter system running status of a last cycle of operation system running state as this cycle of operation;
When system's cooling and heating load balance, carry out described step S2, wherein said system operational parameters comprises: generating set power, user and outer net interconnection power, flue gas refrigeration plant power consumption, electric refrigeration plant power consumption;
Described system thermal parameter comprises: refrigeration duty demand, actual motion power and optimization operate power;
Described step S3 is specially: calculate according to described system operational parameters, obtain actual refrigeration duty demand and real time execution power; Determine the running refrigerating amount of refrigeration preparation according to described actual refrigeration duty demand, calculate the optimization operate power according to the running refrigerating amount of described refrigeration plant;
Described default first power threshold of system's thermal parameter for setting, described step S4 is specially: calculate the difference that described optimization operate power deducts real time execution power, if described difference is more than or equal to first power threshold of setting, then with described optimization operate power as generating set power; If described difference is less than first power threshold of described setting, it is constant then to keep generating set power.
8. distributed combined cooling and power system control method according to claim 7, it is characterized in that, deduct the difference computing of real time execution power through described optimization operate power, if n time continuously, described difference is more than or equal to first power threshold of described setting, and the optimization operate power when then the n time being calculated is as generating set power; If described difference is less than first power threshold of described setting, it is constant then to keep generating set power.
9. distributed combined cooling and power system control method according to claim 1 and 2 is characterized in that,
In described step S1, generating set is started the interconnection power of preceding user and external power grid as generating set initial launch power; Described system data comprises: the adjusted value constant;
Described system operational parameters comprises: the generating set operate power;
Described system thermal parameter comprises: the user after generating set operate power change value and generating set start and the interconnection power of external power grid;
Described step S3 is specially: the user after starting according to described generating set operate power change value trace generating set and the interconnection power of external power grid;
Described default second power threshold of system's thermal parameter for setting, described step S4 is specially: the absolute value that calculates the interconnection power of user after described institute generating set starts and external power grid deducts the difference of second power threshold of described setting, if described difference is greater than 0, the user after then calculating first adjusted value and equaling generating set and start and the interconnection power of external power grid deduct the difference of second power threshold of setting and take advantage of in the adjusted value constant again, the interconnection power of user after if described generating set starts and external power grid be on the occasion of, described first adjusted value that then superposes arrives generating set power; If the user after described generating set starts and the interconnection power of external power grid are negative value, then with described first adjusted value of generating set power reduction; If described difference is smaller or equal to 0, it is constant then to keep generating set power.
10. distributed combined cooling and power system control method according to claim 9 is characterized in that,
Through described difference computing, if n time continuously, described difference is not equal to 0, and the user after the generating set when then calculating second adjusted value and equaling to calculate for the n time starts and the interconnection power of external power grid deduct the difference of second power threshold of setting and takes advantage of in the adjusted value constant again; If described difference is greater than 0, described second adjusted value that then superposes is to generating set power; If described difference is less than 0, then with described second adjusted value of generating set power reduction; If described difference equals 0, it is constant then to keep generating set power.
11. a distributed combined cooling and power system is characterized in that, comprising: database module, at least one data acquisition module and optimal control module and at least 2 local I/O controllers;
Wherein, the other end of described data acquisition module is connected with described optimal control module, and the other end is connected with measuring equipment by described local I/O controller; Be used to obtain the system operational parameters that measuring equipment records;
Described database module is connected with described data acquisition module, described optimal control module, is used for memory system data; Described system data comprises: described system thermal parameter, default system's thermal parameter;
Described optimal control module is connected with generating set by described local I/O controller; Be used for the initialization system running status and calculate described system thermal parameter according to described system operational parameters and described system data; And judge whether to adjust generating set power according to described system thermal parameter and described default system's thermal parameter, if, then adjust generating set power, if not, it is constant then to keep generating set power.
12. distributed combined cooling and power according to claim 11 system is characterized in that,
Described system data also comprises: pre-set time interval; The described time interval arrives, and described optimal control module is just carried out related operation and optimal control adjustment.
13. according to claim 11 or 12 described distributed combined cooling and power systems, it is characterized in that, described supervisory layers also comprises operation interface and display module, described operation interface is connected with described database, described data acquisition module and described optimal control module with display module, is used for interface operation, demonstration and the monitoring related content of system.
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