CN109062045A - Optimal control method and control system based on thermoelectric cold multiple-energy-source co-feeding system - Google Patents
Optimal control method and control system based on thermoelectric cold multiple-energy-source co-feeding system Download PDFInfo
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- CN109062045A CN109062045A CN201810906822.4A CN201810906822A CN109062045A CN 109062045 A CN109062045 A CN 109062045A CN 201810906822 A CN201810906822 A CN 201810906822A CN 109062045 A CN109062045 A CN 109062045A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
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Abstract
The invention discloses a kind of optimal control method and control system based on thermoelectric cold multiple-energy-source co-feeding system, it is cold to include the following steps: that (1) obtains electricity demand p electricity, calorific requirement Q heat and chilling requirement Q respectively；(2) cold according to calculated p electricity, Q heat and Q, form following tables of data；(3) according to above-mentioned tables of data, output power is adjusted.By the above method and system, when in use, by above-mentioned tables of data, choose respectively close in the case where very, the minimum situation of the energy of other wastes uses.
Description
Technical field
The present invention relates to field of energy-saving technology, more particularly to a kind of optimization control based on thermoelectric cold multiple-energy-source co-feeding system
Method and control system processed.
Background technique
In thermoelectric cold triple supply system, gas turbine is generated electrically and thermally by burning natural gas, and heat can be converted to again
Cold, therefore, the output power of gas turbine is when meeting one of electricity demand, calorific requirement or chilling requirement, it will usually make
At other energy beyond demand and cause to waste, currently, for electricity, heat or it is cold can be adjusted in other way, because
This does not need all to meet three, to cause the waste of the energy in combined supply system.However, how to adjust combustion gas wheel
The output power and electricity demand of machine, the relationship between calorific requirement or chilling requirement, so that improving the energy of gas turbine as far as possible
Source utilization rate is then the project of people's research.
Summary of the invention
For above-mentioned the technical problems existing in the prior art, the object of the present invention is to provide one kind to be based on thermoelectric cold multipotency
The optimal control method and control system of source co-feeding system.
To achieve the purpose of the present invention, the present invention provides a kind of optimal controls based on thermoelectric cold multiple-energy-source co-feeding system
Method includes the following steps:
(1) it is cold that electricity demand p electricity, calorific requirement Q heat and chilling requirement Q are obtained respectively；
(2) cold according to calculated p electricity, Q heat and Q, form following tables of data:
The hot Q of gas turbine output power p electricity Q is cold
N% m% c%
(3) according to above-mentioned tables of data, output power is adjusted.
Correspondingly, a kind of Optimal Control System based on thermoelectric cold multiple-energy-source co-feeding system, including combustion gas wheel are additionally provided
Machine, the gas turbine are adjusted by following methods:
The described method includes:
(1) it is cold that electricity demand p electricity, calorific requirement Q heat and chilling requirement Q are obtained respectively；
(2) cold according to calculated p electricity, Q heat and Q, form following tables of data:
The hot Q of gas turbine output power p electricity Q is cold
N% m% c%
(3) according to above-mentioned tables of data, output power is adjusted.
Compared with prior art, beneficial effects of the present invention are, by the above method and system, when in use, to lead to
It crosses above-mentioned tables of data, chooses respectively close in the case where very, the minimum situation of the energy of other wastes uses.
Specific embodiment
Below in conjunction with specific embodiment, invention is further described in detail.It should be appreciated that described herein specific
Embodiment is only used to explain the present invention, is not intended to limit the present invention.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.
A kind of optimal control method based on thermoelectric cold multiple-energy-source co-feeding system is present embodiments provided, including is walked as follows
It is rapid:
(1) it is cold that electricity demand p electricity, calorific requirement Q heat and chilling requirement Q are obtained respectively；Electricity demand can be obtained by conventional means.
(2) cold according to calculated p electricity, Q heat and Q, form following tables of data:
The hot Q of gas turbine output power p electricity Q is cold
N% m% c%
(3) according to above-mentioned tables of data, output power is adjusted.
It should be noted that p is electric, Q heat, Q it is cold be a certain moment value, can also be a period of time value.It correspondingly, is combustion
The working time of gas-turbine, p is electric, Q is warm, Q is cold can be by being calculated, and n%, m%, %c are variable, and each demand is respectively
It is definite value according to the actual demand of 1-100%, calculates the output power of gas turbine, such as 1%, 10%, 20% etc., then,
According to the output power of gas turbine, correspondingly, the energy of other generations is calculated, according to the energy and demand actually generated
Ratio calculate percentage, be included in table, calculate multiple combinations data.
According to above-mentioned tables of data, respective demand is chosen close to very, the energy of other wastes is minimum
The case where use, can be energy saving, reduce energy waste.Can be generated according to moment or period how long tables of data, thus,
Convenient for subsequent use.
Correspondingly, a kind of Optimal Control System based on thermoelectric cold multiple-energy-source co-feeding system, including combustion gas wheel are additionally provided
Machine, the gas turbine are adjusted by following methods:
The described method includes:
(1) it is cold that electricity demand p electricity, calorific requirement Q heat and chilling requirement Q are obtained respectively；
(2) cold according to calculated p electricity, Q heat and Q, form following tables of data:
The hot Q of gas turbine output power p electricity Q is cold
N% m% c%
(3) according to above-mentioned tables of data, output power is adjusted.
This application in calculative data, calculated by computer programming, high degree of automation, efficiency compared with
It is high.
In a preferred embodiment, the method for obtaining the heat demand of practical heat demand point, includes the following steps:
(1) relation table of the temperature difference and thermic load coefficient is formed by following formula:
It is derived by Q=q* (t DEG C-t DEG C of confession are returned) * C=K* (T DEG C of-T DEG C of outdoor interior):
(q* (t DEG C-t DEG C of confession are returned) * C)/(T DEG C of-T DEG C of the outdoor interior) K=；
Wherein, current heating load Q, the confession heat flow q on thermodynamic transport pipeline, heating medium specific heat capacity C, thermic load coefficient
K；
According to certain time interval Time, dynamic acquisition q, t DEG C confession, t DEG C time, T DEG C of outdoor, T DEG C of indoor actual value, from
And calculate multiple relation tables between indoor/outdoor temperature-difference and thermic load COEFFICIENT K；
(2) according to the relation table calculated between indoor/outdoor temperature-difference and thermic load COEFFICIENT K, the outer temperature difference of current indoor is calculated
Under, practical heating load needed for heat demand point.
It should be noted that thermic load COEFFICIENT K is variable, according to relation table, by indoor/outdoor temperature-difference, then can search pair
The thermic load COEFFICIENT K answered, so that actually required heating load is calculated according to Q need=K* (T DEG C of-T DEG C of outdoor interior), so that
The equilibrium of supply and demand, it is energy saving；According to actual heating load, reality can be calculated according to q reality=Q need/((t DEG C-t DEG C of confession are returned) * C)
Border pipeline flow, is controlled.
The above is only a preferred embodiment of the present invention, it is noted that for the common skill of the art
For art personnel, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications
Also it should be regarded as protection scope of the present invention.
Claims (2)
1. a kind of optimal control method based on thermoelectric cold multiple-energy-source co-feeding system, which comprises the steps of:
(1) it is cold that electricity demand p electricity, calorific requirement Q heat and chilling requirement Q are obtained respectively；
(2) cold according to calculated p electricity, Q heat and Q, form following tables of data:
The hot Q of gas turbine output power p electricity Q is cold
N% m% c%
(3) according to above-mentioned tables of data, output power is adjusted.
2. a kind of Optimal Control System based on thermoelectric cold multiple-energy-source co-feeding system, which is characterized in that described including gas turbine
Gas turbine is adjusted by following methods:
The described method includes:
(1) it is cold that electricity demand p electricity, calorific requirement Q heat and chilling requirement Q are obtained respectively；
(2) cold according to calculated p electricity, Q heat and Q, form following tables of data:
The hot Q of gas turbine output power p electricity Q is cold
N% m% c%
(3) according to above-mentioned tables of data, output power is adjusted.
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| WO2010017429A2 (en) * | 2008-08-08 | 2010-02-11 | Siemens Industry, Inc. | Data center thermal performance optimization using distributed cooling systems |
| WO2015077754A1 (en) * | 2013-11-25 | 2015-05-28 | Siemens Corporation | A statistical approach to modeling and forecast of cchp energy and cooling demand and optimization cchp control setpoints |
| CN104216368A (en) * | 2014-08-28 | 2014-12-17 | 天津大学 | Optimized operation control method for distributed combined cooling, heating and power system based on demand response |
| CN104571068A (en) * | 2015-01-30 | 2015-04-29 | 中国华电集团科学技术研究总院有限公司 | Optimized operation control method and system of distributed energy system |
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