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.