CN116736780A - Startup and shutdown control optimization method and system for regional energy station - Google Patents
Startup and shutdown control optimization method and system for regional energy station Download PDFInfo
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- 238000012163 sequencing technique Methods 0.000 claims description 33
- 238000010977 unit operation Methods 0.000 claims description 18
- 238000001816 cooling Methods 0.000 claims description 16
- 238000010248 power generation Methods 0.000 claims description 16
- 238000009825 accumulation Methods 0.000 claims description 12
- 238000005057 refrigeration Methods 0.000 claims description 8
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
The invention provides a startup and shutdown control optimization method and a startup and shutdown control optimization system of a regional energy station, wherein historical load data of the regional energy station are acquired in the method, and the historical load data of each hour are counted by taking a day as a range; setting load weight coefficients of different types of equipment in the regional energy station before the current moment; the coefficient is used for representing the duty ratio condition of the corresponding loads of different types of equipment with preset time before the current moment; respectively acquiring operation data of the triple co-generation unit, the heat pump unit, the electric refrigerating unit and the gas boiler unit; and calculating the corresponding load of the future 24 hours according to the historical load data and the queried load weight coefficient of different types of equipment with preset time before the current moment by taking the hours as a unit, and respectively generating a switching-on and switching-off plan of each type of unit for the future 24 hours.
Description
Technical Field
The invention relates to the field of a combined cooling, heating and power system, in particular to a startup and shutdown control optimization method and system of a regional energy station.
Background
Regional energy stations refer to systems that deliver cold, heat, domestic hot water, and electricity to multiple buildings in a region in the form of a centralized energy station. Generally, an energy station system is composed of a combined cooling, heating and power system, a heat pump system, an electric refrigerating system, a boiler system and the like. The combined cooling, heating and power system utilizes natural gas and other fuels to burn through gas turbines, internal combustion engines and other equipment to generate electricity, recovers waste heat generated in the electricity generation process, utilizes the waste heat to generate cold or heat energy to meet the load demands of users, and is an efficient energy supply system integrating electricity generation, refrigeration and heat supply. The existing system generally adopts a manual mode to start and shut down, and has the following problems:
1. when the energy load (cold, hot and electric) is estimated to be insufficient, the energy supply equipment is opened too little, so that the energy supply guarantee rate is not high, and the use of the terminal user is influenced.
2. When the energy load is estimated to be too high, the energy supply equipment is opened too much, so that energy waste is caused.
3. When the energy supply device is turned on, the device with lower efficiency may be turned on, resulting in increased energy consumption of the device.
The invention provides a method and a system for optimizing on-off control of a regional energy station to solve the problems in the prior art.
Disclosure of Invention
In view of this, the present invention provides a method for optimizing on-off control of a regional energy station, which is applied to an industrial control computer, and by the method of the present invention, matching operation of a unit can be performed according to energy loads, energy supply guarantee is improved, and energy waste is reduced, and the method includes:
acquiring historical load data of regional energy stations, and counting the historical load data of each hour by taking a day as a range;
setting load weight coefficients of different types of equipment in the regional energy station before the current moment; the coefficient is used for representing the duty ratio condition of the corresponding loads of different types of equipment with preset time before the current moment; the different types of devices include at least: the system comprises a triple supply unit, a heat pump unit, an electric refrigerating unit and a gas boiler unit;
respectively acquiring operation data of the triple co-generation unit, the heat pump unit, the electric refrigerating unit and the gas boiler unit;
calculating the corresponding load of 24 hours in the future according to the historical load data and the load weight coefficients of different types of equipment with preset time before the queried current time by taking the hours as a unit;
generating a power generation on-off plan of the triple co-generation unit for 24 hours in the future and a heat pump unit, a cooling on-off plan of the electric co-generation unit for 24 hours in the future and a heating on-off plan of the gas boiler unit for 24 hours in the future based on the corresponding loads of the triple co-generation unit, the heat pump unit, the electric refrigeration unit and the gas boiler unit for 24 hours in the future respectively;
the preset time length is 7 days, and the load weight coefficient meets the following formula under the condition of the preset time length after the normalization processing according to the preset time length:
；
wherein the method comprises the steps ofThe load weight coefficient of the i day before the current day is represented, i is an integer, and the value range is 1 to 7;
the load weight coefficientThe method is realized by combining historical load data with a switching loss function, and is expressed by the following formula:
；
wherein x is 1 ，x 2 ，...，x m Represents m historical load data, w 1 ，w 2 ，...，w m Representing weights corresponding to the m pieces of historical load data;
，/>，…/>representing the bandwidth of the gaussian kernel function; d represents the heating value or the refrigerating capacity of a certain unit;the switching loss corresponding to the d value is represented, and gamma is the coefficient of a loss function; the loss in the on-off loss function increases with the increase of the delivery volume, and beta represents the weight of the on-off loss; s is S 1 ，S 2 ，...，S n Represents the states of n generator sets or refrigerating units, 1 represents operation,-1 represents a shutdown; delta 1 ，δ 2 ,., δn represents the outage loss weight of the corresponding unit, the greater the outage loss weight, indicating that the higher the unit efficiency, the greater the outage loss;
calculating the load of 24 hours in the future according to the historical load data and the load weight coefficients of different types of equipment with preset time before the queried current moment by taking the hours as a unit, wherein the method specifically comprises the following steps of: the load for the future 24 hours was calculated according to the following formula:
；
wherein g is 1 to 24, representing a future 24 hours,the load weight coefficient of the i day before the current day is represented, i is an integer, and the value range is 1 to 7; />Represents the load at the g-th hour of i days before the current day; />Indicating the load at the future g-th hour;
the corresponding loads of the different types of equipment at least comprise: electrical, cold and heat loads.
In particular, the collecting of the operation data of the triple co-generation unit includes: establishing a knowledge table of the triple co-generation unit, acquiring an operation record of the triple co-generation unit, and counting the gas quantity, the generated energy, the refrigerating capacity, the heating capacity and the generated energy of the unit gas quantity of the recent unit in each hour according to the operation record;
the collecting of the operation data of the heat pump unit comprises the following steps: establishing a heat pump unit knowledge table, acquiring an operation record of the heat pump unit, and counting the refrigerating capacity of the recent unit per hour, the power consumption and the refrigerating capacity of the unit power consumption according to the operation record;
collecting operational data of the electric refrigeration unit includes: establishing an electric refrigerating unit knowledge table, acquiring an operation record of the electric refrigerating unit, and counting the refrigerating capacity of the recent unit in each hour, the power consumption and the refrigerating capacity of the unit power consumption according to the operation record;
the collecting of the operation data of the gas boiler unit comprises the following steps: and establishing a knowledge table of the gas boiler unit, acquiring an operation record of the gas boiler unit, and counting the gas quantity, the heating quantity and the heating quantity of the unit gas quantity of the recent unit in each hour according to the operation record.
In particular, for the triple power generation unit, the corresponding load is an electric load of 24 hours in the future, and generating the power generation on-off plan of 24 hours in the future of the triple power generation unit according to the electric load of 24 hours in the future comprises: the triple power supply unit is subjected to sequencing combination from high to low according to the generated energy of the unit fuel gas quantity, the electric load of the 1 st hour in the future is obtained, the previous sequencing combination is circularly traversed, the accumulated calculation of the generated energy of the unit is carried out, the circulation traversal is ended when the accumulated result is larger than the electric load or the sequencing combination is traversed, the unit subjected to the accumulated calculation is set to be in a running state, and the unit not subjected to the accumulated calculation is set to be in a shutdown state; then sequentially performing traversal calculation for 2 to 24 hours in the future, and finally obtaining the unit operation condition of each hour;
for the heat pump unit and the electric refrigerating unit, the corresponding loads are the future 24-hour cold loads, and the generating a future 24-hour cold supply on-off plan of the heat pump unit and the electric refrigerating unit according to the future 24-hour cold loads comprises the following steps: the heat pump unit and the electric refrigerating unit are sequenced and combined from high to low according to the refrigerating capacity of unit power consumption, the cold load of the 1 st hour in the future is obtained, the previous sequencing combination is circularly traversed, the hour refrigerating capacity accumulation calculation of the unit is carried out, the circulation traversal is ended when the accumulated result is larger than the cold load or the sequencing combination is traversed, the unit subjected to accumulation calculation is set to be in a running state, and the unit not subjected to accumulation calculation is set to be in a shutdown state; then sequentially performing traversal calculation for 2 to 24 hours in the future, and finally obtaining the unit operation condition of each hour;
for the gas boiler unit, the corresponding load is a heat load of 24 hours in the future, and generating a heating on-off plan of 24 hours in the future of the gas boiler unit according to the heat load of 24 hours in the future comprises: sequencing and combining the gas boiler units according to the heating quantity of the unit gas quantity from high to low; acquiring the heat load of the 1 st hour in the future, circularly traversing the sequencing combination, and performing the accumulated calculation of the hour heating capacity of the unit; when the accumulated result is larger than the thermal load or the sequencing combination is traversed, the cycle traversal is ended, the unit subjected to accumulated computation is set to be in a running state, and the unit not subjected to accumulated computation is set to be in a shutdown state; then sequentially performing traversal calculation for 2 to 24 hours in the future, and finally obtaining the unit operation condition of each hour.
Particularly, when generating a cooling on-off plan of the heat pump unit and the electric refrigerating unit for 24 hours in the future according to the cooling load of the future 24 hours, if the condition that the triple supply unit is put into operation in a certain hour in the future is detected, the cooling load needs to be subtracted by the accumulated value of the refrigerating capacity of the triple supply unit in the certain hour in the future;
when a heating start-up and shut-down plan of the gas boiler unit for 24 hours in the future is generated according to the heat load of the 24 hours in the future, if the condition that the triple supply unit is put into operation in a certain hour in the future is detected, the accumulated value of the heating quantity of the certain hour of all the triple supply units put into operation needs to be subtracted from the heat load.
The invention also discloses a startup and shutdown control optimization system of the regional energy station, which comprises a historical load statistics module, a load weight coefficient setting module, a unit operation data acquisition module, a future load calculation module and a startup and shutdown plan generation module which are sequentially connected in a communication mode;
the historical load statistics module is used for acquiring historical load data of regional energy stations and counting the historical load data of each hour by taking the day as a range;
the load weight coefficient setting module is used for setting load weight coefficients of different types of equipment in the regional energy station before the current moment; the coefficient is used for representing the duty ratio condition of the corresponding loads of different types of equipment with preset time before the current moment; the different types of devices include at least: the system comprises a triple supply unit, a heat pump unit, an electric refrigerating unit and a gas boiler unit;
the unit operation data acquisition module is used for respectively acquiring operation data of the triple co-generation unit, the heat pump unit, the electric refrigerating unit and the gas boiler unit;
the future load calculation module is used for calculating the corresponding load of 24 hours in the future according to the historical load data and the load weight coefficients of different types of equipment with preset time before the queried current time in an hour unit;
the on-off plan generating module is used for respectively generating a power generation on-off plan of the triple supply unit for 24 hours in the future, a cooling on-off plan of the heat pump unit for 24 hours in the future and a heating on-off plan of the gas boiler unit for 24 hours in the future based on the corresponding loads of the triple supply unit, the heat pump unit, the electric refrigerating unit and the gas boiler unit for 24 hours in the future;
in the load weight coefficient setting module, the predetermined time period is 7 days, and after the load weight coefficient is normalized according to the predetermined time period, the following formula is satisfied under the condition of the predetermined time period:
；
wherein the method comprises the steps ofThe load weight coefficient of the i day before the current day is represented, i is an integer, and the value range is 1 to 7;
the load weight coefficientThe method is realized by combining historical load data with a switching loss function, and is expressed by the following formula:
；
wherein x is 1 ，x 2 ，...，x m Represents m historical load data, w 1 ，w 2 ，...，w m Representing weights corresponding to the m pieces of historical load data;
，/>，…/>representing the bandwidth of the gaussian kernel function; d represents the heating value or the refrigerating capacity of a certain unit;the switching loss corresponding to the d value is represented, and gamma is the coefficient of a loss function; the loss in the on-off loss function increases with the increase of the delivery volume, and beta represents the weight of the on-off loss; s is S 1 ，S 2 ，...，S n Representing the states of n generator sets or refrigerating units, wherein 1 represents operation, -1 represents shutdown; delta 1 ，δ 2 ,., δn represents the outage loss weight of the corresponding unit, the greater the outage loss weight, indicating that the higher the unit efficiency, the greater the outage loss;
in the future load calculation module, load of 24 hours in the future is calculated according to the historical load data and the load weight coefficients of different types of equipment with preset time before the queried current time in an hour unit, and the method specifically comprises the following steps: the load for the future 24 hours was calculated according to the following formula:
；
wherein g is 1 to 24, representing a future 24 hours,the load weight coefficient of the i day before the current day is represented, i is an integer, and the value range is 1 to 7; />Represents the load at the g-th hour of i days before the current day; />Indicating the load at the future g-th hour;
the corresponding loads of the different types of equipment at least comprise: electrical, cold and heat loads.
The beneficial effects are that:
1. the load weight coefficient is used for predicting the future load, the prediction accuracy is certain, and the future electric load, the cold load and the heat load are generated based on the historical load mode by using the load data of 7 days before.
2. And generating a 24-hour on-off plan by utilizing data of various units, sequencing the units according to unit efficiency, and accumulating and selecting the units meeting the requirements one by one according to the load. To improve energy efficiency and save resources.
3. And recording operation data of the unit, and counting out a knowledge table. And continuously collecting data, thereby being beneficial to continuously improving the precision of load prediction and unit scheduling.
4. And the economic scheduling thought is adopted, so that the total switching loss is reduced. And selecting the optimal operation unit combination according to the loss weight and the outage weight.
5. The load weight coefficient and the on-off weight are updated periodically to cater for the load mode change. Unit scheduling and load prediction models are continually improved to cope with changing practical situations.
In general, the scheme realizes load prediction and unit scheduling optimization through different models and algorithms. Data driven methods are employed, continually improving and optimizing. The load prediction requirement is more accurate, the unit startup and shutdown plan is more economical and efficient, and the energy efficiency and the saving of the system are improved.
Drawings
FIG. 1 is a flowchart of a method for optimizing on-off control of a regional energy station according to the present invention;
fig. 2 is a schematic diagram of a power on/off control optimizing system of a regional energy station according to the present invention.
Detailed Description
The invention will now be described in detail by way of example with reference to the accompanying drawings.
The invention provides a startup and shutdown control optimization method of a regional energy station, as shown in fig. 1, external objects involved in the scheme are as follows: 1. electrical load, cold load, hot load object: acquiring phase application electrical load data, cold load data and heat load data from the object; 2. triple co-generation object: and acquiring the operation data of the triple co-generation unit from the object. 3. Heat pump object: acquiring operation data of the heat pump unit from the object; 4. an electric refrigeration object: acquiring operation data of the electric refrigerating unit from the object; 5. gas boiler object: acquiring operation data of the gas boiler unit from the object; 6. database object: storing an electric load, a cold load, a hot load record list and corresponding statistical time-by-time loads; and storing operation record tables and knowledge tables of the triple supply unit, the heat pump unit, the electric refrigerating unit and the gas boiler unit. An execution main body: an industrial control computer, the method comprising the steps of:
step 1, acquiring historical load data of regional energy stations, and counting the historical load data of each hour by taking a day as a range;
and establishing an electric load, cold load and heat load record table for calculating the daily time-by-time electric load, cold load and heat load. The load corresponding to the triple co-generation unit is an electric load, the load corresponding to the heat pump unit and the electric refrigerating unit is a cold load, and the load corresponding to the gas boiler unit is a heat load.
Step 2, setting load weight coefficients of different types of equipment in the regional energy station before the current moment; the coefficient is used for representing the duty ratio condition of the corresponding loads of different types of equipment with preset time before the current moment; the different types of devices include at least: the system comprises a triple supply unit, a heat pump unit, an electric refrigerating unit and a gas boiler unit;
specifically, the predetermined time period may be 7 days, and the load weight coefficient is implemented by combining historical load data with a power on/off loss function, and after the normalization processing according to the predetermined time period, the following formula is satisfied under the condition of the predetermined time period:
；
wherein the method comprises the steps ofThe load weight coefficient of the i day before the current day is represented, i is an integer, and the value range is 1 to 7.
Wherein the load weight coefficientThe method is realized by combining historical load data with a switching loss function, and is expressed by the following formula:
；
wherein x is 1 ，x 2 ，...，x m Represents m historical load data, w 1 ，w 2 ，...，w m Representing weights corresponding to the m pieces of historical load data;
，/>，…/>representing the bandwidth of the gaussian kernel function; d represents the heating value or the refrigerating capacity of a certain unit;the switching loss corresponding to the d value is represented, and gamma is the coefficient of a loss function; the loss in the on-off loss function increases with the increase of the delivery volume, and beta represents the weight of the on-off loss; s is S 1 ，S 2 ，...，S n Representing the states of n generator sets or refrigerating units, wherein 1 represents operation, -1 represents shutdown; delta 1 ，δ 2 ,., δn represents the outage loss weight of the corresponding unit, the greater the outage loss weight, indicating that the higher the unit efficiency, the greater the outage loss;
step 3, respectively acquiring operation data of the triple co-generation unit, the heat pump unit, the electric refrigerating unit and the gas boiler unit; the method is realized by acquiring operation records of a triple generation unit, a heat pump unit, an electric refrigerating unit and a gas boiler unit; and establishing a triple co-generation unit knowledge table, and counting the gas quantity, the generated energy, the refrigerating capacity, the heating capacity and the generated energy of the unit gas quantity of the recent unit per hour according to the operation records. And establishing a heat pump unit knowledge table, and counting the refrigerating capacity of the recent unit in each hour, the power consumption and the refrigerating capacity of the unit power consumption according to the operation records. And establishing an electric refrigerating unit knowledge table, and counting the refrigerating capacity of the recent unit in each hour, the power consumption and the refrigerating capacity of the unit power consumption according to the running record. And establishing a gas boiler unit knowledge table, and counting the gas quantity, the heating quantity and the heating quantity of unit gas quantity of the recent unit per hour according to the operation records of the gas boiler unit knowledge table.
And 4, calculating the load of 24 hours in the future according to the historical load data and the load weight coefficients of different types of equipment with preset time before the queried current moment by taking the hours as a unit, wherein the method specifically comprises the following steps of: the load for the future 24 hours was calculated according to the following formula:
；
wherein g is 1 to 24, representing a future 24 hours,the load weight coefficient of the i day before the current day is represented, i is an integer, and the value range is 1 to 7; />Represents the load at the g-th hour of i days before the current day; />Indicating the load at the future g-th hour;
the corresponding loads of the different types of equipment at least comprise: electrical, cold and heat loads.
Step 5, generating a power generation on-off plan of the triple supply unit for 24 hours in the future based on the corresponding loads of the triple supply unit, the heat pump unit, the electric refrigeration unit and the gas boiler unit for 24 hours in the future, and generating a cooling on-off plan of the heat pump unit and the electric refrigeration unit for 24 hours in the future and a heating on-off plan of the gas boiler unit for 24 hours in the future respectively;
for the triple co-generation unit, the corresponding load is an electric load of 24 hours in the future, and generating the power generation on-off plan of the triple co-generation unit for 24 hours in the future according to the electric load of 24 hours in the future comprises: the triple power supply unit is subjected to sequencing combination from high to low according to the generated energy of the unit fuel gas quantity, the electric load of the 1 st hour in the future is obtained, the previous sequencing combination is circularly traversed, the accumulated calculation of the generated energy of the unit is carried out, the circulation traversal is ended when the accumulated result is larger than the electric load or the sequencing combination is traversed, the unit subjected to the accumulated calculation is set to be in a running state, and the unit not subjected to the accumulated calculation is set to be in a shutdown state; then sequentially performing traversal calculation for 2 to 24 hours in the future, and finally obtaining the unit operation condition of each hour;
for the heat pump unit and the electric refrigerating unit, the corresponding loads are the future 24-hour cold loads, and the generating a future 24-hour cold supply on-off plan of the heat pump unit and the electric refrigerating unit according to the future 24-hour cold loads comprises the following steps: the heat pump unit and the electric refrigerating unit are sequenced and combined from high to low according to the refrigerating capacity of unit power consumption, the cold load of the 1 st hour in the future is obtained, the previous sequencing combination is circularly traversed, the hour refrigerating capacity accumulation calculation of the unit is carried out, the circulation traversal is ended when the accumulated result is larger than the cold load or the sequencing combination is traversed, the unit subjected to accumulation calculation is set to be in a running state, and the unit not subjected to accumulation calculation is set to be in a shutdown state; then sequentially performing traversal calculation for 2 to 24 hours in the future, and finally obtaining the unit operation condition of each hour; when generating a power generation on-off plan of the heat pump unit and the electric refrigerating unit for 24 hours in the future according to the cold load, if the condition that the triple supply unit operates in a certain hour in the future is detected, subtracting the accumulated value of the refrigerating capacity of the triple supply unit in the certain hour in the operation from the cold load;
for the gas boiler unit, the corresponding load is a heat load of 24 hours in the future, and generating a heating on-off plan of 24 hours in the future of the gas boiler unit according to the heat load of 24 hours in the future comprises: sequencing and combining the gas boiler units according to the heating quantity of the unit gas quantity from high to low; acquiring the heat load of the 1 st hour in the future, circularly traversing the sequencing combination, and performing the accumulated calculation of the hour heating capacity of the unit; when the accumulated result is larger than the thermal load or the sequencing combination is traversed, the cycle traversal is ended, the unit subjected to accumulated computation is set to be in a running state, and the unit not subjected to accumulated computation is set to be in a shutdown state; then sequentially performing traversal calculation for 2 to 24 hours in the future, and finally obtaining the unit operation condition of each hour. When generating a power generation on-off plan of the gas boiler unit for 24 hours in the future according to the heat load, if the condition that the triple supply unit is put into operation for a certain hour in the future is detected, subtracting the accumulated value of the heating quantity of the certain hour of all the triple supply units put into operation from the heat load.
The invention also provides a startup and shutdown control optimization system of the regional energy station, which is shown in fig. 2 and comprises a load weight coefficient setting module, a historical load statistics module, a unit operation data acquisition module, a future load calculation module and a startup and shutdown plan generation module which are sequentially connected in a communication mode;
the historical load statistics module is used for acquiring historical load data of regional energy stations and counting the historical load data of each hour by taking the day as a range; and establishing an electric load, cold load and heat load record table for calculating the daily time-by-time electric load, cold load and heat load. The load corresponding to the triple co-generation unit is an electric load, the load corresponding to the heat pump unit and the electric refrigerating unit is a cold load, and the load corresponding to the gas boiler unit is a heat load.
The load weight coefficient setting module is used for setting load weight coefficients of different types of equipment in the regional energy station before the current moment; the coefficient is used for representing the duty ratio condition of the corresponding loads of different types of equipment with preset time before the current moment; the different types of devices include at least: the system comprises a triple supply unit, a heat pump unit, an electric refrigerating unit and a gas boiler unit;
the preset time length is 7 days, and after the load weight coefficient is subjected to standardized treatment of the preset time length, the following formula is satisfied under the condition of the preset time length:
；
wherein the method comprises the steps ofThe load weight coefficient of the i day before the current day is represented, i is an integer, and the value range is 1 to 7;
the load weight coefficientThe method is realized by combining historical load data with a switching loss function and is expressed by the following formula;
；
wherein x is 1 ，x 2 ，...，x m Represents m historical load data, w 1 ，w 2 ，...，w m Representing weights corresponding to the m pieces of historical load data;
，/>，…/>representing the bandwidth of the gaussian kernel function; d represents the heating value or the refrigerating capacity of a certain unit;the switching loss corresponding to the d value is represented, and gamma is the coefficient of a loss function; loss in the on-off loss function followsThe delivery quantity is increased and increased, and beta represents the weight of the switching loss; s is S 1 ，S 2 ，...，S n Representing the states of n generator sets or refrigerating units, wherein 1 represents operation, -1 represents shutdown; delta 1 ，δ 2 ,., δn represents the outage loss weight of the corresponding unit, the greater the outage loss weight, indicating that the higher the unit efficiency, the greater the outage loss;
the unit operation data acquisition module is used for respectively acquiring operation data of the triple co-generation unit, the heat pump unit, the electric refrigerating unit and the gas boiler unit; the method is realized by acquiring operation records of a triple generation unit, a heat pump unit, an electric refrigerating unit and a gas boiler unit; and establishing a triple co-generation unit knowledge table, and counting the gas quantity, the generated energy, the refrigerating capacity, the heating capacity and the generated energy of the unit gas quantity of the recent unit per hour according to the operation records. And establishing a heat pump unit knowledge table, and counting the refrigerating capacity of the recent unit in each hour, the power consumption and the refrigerating capacity of the unit power consumption according to the operation records. And establishing an electric refrigerating unit knowledge table, and counting the refrigerating capacity of the recent unit in each hour, the power consumption and the refrigerating capacity of the unit power consumption according to the running record. And establishing a gas boiler unit knowledge table, and counting the gas quantity, the heating quantity and the heating quantity of unit gas quantity of the recent unit per hour according to the operation records of the gas boiler unit knowledge table.
The future load calculation module calculates the load of 24 hours in the future according to the load weight coefficients of different types of equipment with the preset time before the current time by taking the hour as a unit, and specifically comprises the following steps: the load for the future 24 hours was calculated according to the following formula:
；
wherein g is 1 to 24, representing a future 24 hours,the load weight coefficient of the i day before the current day is represented, i is an integer, and the value range is 1 to 7; />Represents the load at the g-th hour of i days before the current day; />Indicating the load at the future g-th hour;
the corresponding loads of the different types of equipment at least comprise: electrical, cold and heat loads.
The on-off plan generating module is used for respectively generating a power generation on-off plan of the triple supply unit for 24 hours in the future, a cooling on-off plan of the heat pump unit for 24 hours in the future and a heating on-off plan of the gas boiler unit for 24 hours in the future based on the corresponding loads of the triple supply unit, the heat pump unit, the electric refrigerating unit and the gas boiler unit for 24 hours in the future.
For the triple co-generation unit, the corresponding load is an electric load of 24 hours in the future, and generating the power generation on-off plan of the triple co-generation unit of 24 hours in the future according to the electric load comprises the following steps: the triple power supply unit is subjected to sequencing combination from high to low according to the generated energy of the unit fuel gas quantity, the electric load of the 1 st hour in the future is obtained, the previous sequencing combination is circularly traversed, the accumulated calculation of the generated energy of the unit is carried out, the circulation traversal is ended when the accumulated result is larger than the electric load or the sequencing combination is traversed, the unit subjected to the accumulated calculation is set to be in a running state, and the unit not subjected to the accumulated calculation is set to be in a shutdown state; then sequentially performing traversal calculation for 2 to 24 hours in the future, and finally obtaining the unit operation condition of each hour;
for the heat pump unit and the electric refrigerating unit, the corresponding loads are the cold loads of 24 hours in the future, and the generating a cooling on-off plan of the heat pump unit and the electric refrigerating unit for 24 hours in the future according to the cold loads comprises the following steps: the heat pump unit and the electric refrigerating unit are sequenced and combined from high to low according to the refrigerating capacity of unit power consumption, the cold load of the 1 st hour in the future is obtained, the previous sequencing combination is circularly traversed, the hour refrigerating capacity accumulation calculation of the unit is carried out, the circulation traversal is ended when the accumulated result is larger than the cold load or the sequencing combination is traversed, the unit subjected to accumulation calculation is set to be in a running state, and the unit not subjected to accumulation calculation is set to be in a shutdown state; then sequentially performing traversal calculation for 2 to 24 hours in the future, and finally obtaining the unit operation condition of each hour. When generating a power generation on-off plan of the heat pump unit and the electric refrigerating unit for 24 hours in the future according to the cold load, if the condition that the triple supply unit operates in a certain hour in the future is detected, subtracting the accumulated value of the refrigerating capacity of the triple supply unit in the certain hour in the operation from the cold load;
for the gas boiler unit, the corresponding load is a heat load of 24 hours in the future, and generating a heat supply startup and shutdown plan of the gas boiler unit for 24 hours in the future according to the heat load comprises: sequencing and combining the gas boiler units according to the heating quantity of the unit gas quantity from high to low; acquiring the heat load of the 1 st hour in the future, circularly traversing the sequencing combination, and performing the accumulated calculation of the hour heating capacity of the unit; when the accumulated result is larger than the thermal load or the sequencing combination is traversed, the cycle traversal is ended, the unit subjected to accumulated computation is set to be in a running state, and the unit not subjected to accumulated computation is set to be in a shutdown state; then sequentially performing traversal calculation for 2 to 24 hours in the future, and finally obtaining the unit operation condition of each hour. When generating a power generation on-off plan of the gas boiler unit for 24 hours in the future according to the heat load, if the condition that the triple supply unit is put into operation for a certain hour in the future is detected, subtracting the accumulated value of the heating quantity of the certain hour of all the triple supply units put into operation from the heat load.
In summary, the above embodiments are only preferred embodiments of the present invention, and are not intended to limit the scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
It will be evident to those skilled in the art that the embodiments of the invention are not limited to the details of the foregoing illustrative embodiments, and that the embodiments of the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of embodiments being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. A plurality of units, modules or means recited in a system, means or terminal claim may also be implemented by means of software or hardware by means of one and the same unit, module or means. The terms first, second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the embodiment of the present invention, and not for limiting, and although the embodiment of the present invention has been described in detail with reference to the above-mentioned preferred embodiments, it should be understood by those skilled in the art that modifications and equivalent substitutions can be made to the technical solution of the embodiment of the present invention without departing from the spirit and scope of the technical solution of the embodiment of the present invention.
Claims (5)
1. The method is applied to an industrial control computer and is characterized in that:
acquiring historical load data of regional energy stations, and counting the historical load data of each hour by taking a day as a range;
setting load weight coefficients of different types of equipment in the regional energy station before the current moment; the coefficient is used for representing the duty ratio condition of the corresponding loads of different types of equipment with preset time before the current moment; the different types of devices include at least: the system comprises a triple supply unit, a heat pump unit, an electric refrigerating unit and a gas boiler unit;
respectively acquiring operation data of the triple co-generation unit, the heat pump unit, the electric refrigerating unit and the gas boiler unit;
calculating the corresponding load of 24 hours in the future according to the historical load data and the load weight coefficients of different types of equipment with preset time before the queried current time by taking the hours as a unit;
generating a power generation on-off plan of the triple co-generation unit for 24 hours in the future and a heat pump unit, a cooling on-off plan of the electric co-generation unit for 24 hours in the future and a heating on-off plan of the gas boiler unit for 24 hours in the future based on the corresponding loads of the triple co-generation unit, the heat pump unit, the electric refrigeration unit and the gas boiler unit for 24 hours in the future respectively;
the preset time length is 7 days, and the load weight coefficient meets the following formula under the condition of the preset time length after the normalization processing according to the preset time length:
；
wherein the method comprises the steps ofThe load weight coefficient of the i day before the current day is represented, i is an integer, and the value range is 1 to 7;
the load weight coefficientThe method is realized by combining historical load data with a switching loss function, and is expressed by the following formula:
；
wherein x is 1 ，x 2 ，...，x m Represents m historical load data, w 1 ，w 2 ，...，w m Representing weights corresponding to the m pieces of historical load data;
，/>，…/>representing the bandwidth of the gaussian kernel function; d represents the heating value or the refrigerating capacity of a certain unit; />The switching loss corresponding to the d value is represented, and gamma is the coefficient of a loss function; the loss in the on-off loss function increases with the increase of the delivery volume, and beta represents the weight of the on-off loss; s is S 1 ，S 2 ，...，S n Representing the states of n generator sets or refrigerating units, wherein 1 represents operation, -1 represents shutdown; delta 1 ，δ 2 ,., δn represents the outage loss weight of the corresponding unit, the greater the outage loss weight, indicating that the higher the unit efficiency, the greater the outage loss;
calculating the load of 24 hours in the future according to the historical load data and the load weight coefficients of different types of equipment with preset time before the queried current moment by taking the hours as a unit, wherein the method specifically comprises the following steps of: the load for the future 24 hours was calculated according to the following formula:
；
wherein g is 1 to 24, representing a future 24 hours,the load weight coefficient of the i day before the current day is represented, i is an integer, and the value range is 1 to 7; />Represents the load at the g-th hour of i days before the current day; />Indicating the load at the future g-th hour;
the corresponding loads of the different types of equipment at least comprise: electrical, cold and heat loads.
2. The method for optimizing on-off control of a regional energy station of claim 1, wherein,
the collecting of the operation data of the triple co-generation unit comprises the following steps: establishing a knowledge table of the triple co-generation unit, acquiring an operation record of the triple co-generation unit, and counting the gas quantity, the generated energy, the refrigerating capacity, the heating capacity and the generated energy of the unit gas quantity of the recent unit in each hour according to the operation record;
the collecting of the operation data of the heat pump unit comprises the following steps: establishing a heat pump unit knowledge table, acquiring an operation record of the heat pump unit, and counting the refrigerating capacity of the recent unit per hour, the power consumption and the refrigerating capacity of the unit power consumption according to the operation record;
collecting operational data of the electric refrigeration unit includes: establishing an electric refrigerating unit knowledge table, acquiring an operation record of the electric refrigerating unit, and counting the refrigerating capacity of the recent unit in each hour, the power consumption and the refrigerating capacity of the unit power consumption according to the operation record;
the collecting of the operation data of the gas boiler unit comprises the following steps: and establishing a knowledge table of the gas boiler unit, acquiring an operation record of the gas boiler unit, and counting the gas quantity, the heating quantity and the heating quantity of the unit gas quantity of the recent unit in each hour according to the operation record.
3. The method for optimizing on-off control of a regional energy station of claim 1, wherein,
for the triple co-generation unit, the corresponding load is an electric load of 24 hours in the future, and generating the power generation on-off plan of the triple co-generation unit for 24 hours in the future according to the electric load of 24 hours in the future comprises: the triple power supply unit is subjected to sequencing combination from high to low according to the generated energy of the unit fuel gas quantity, the electric load of the 1 st hour in the future is obtained, the previous sequencing combination is circularly traversed, the accumulated calculation of the generated energy of the unit is carried out, the circulation traversal is ended when the accumulated result is larger than the electric load or the sequencing combination is traversed, the unit subjected to the accumulated calculation is set to be in a running state, and the unit not subjected to the accumulated calculation is set to be in a shutdown state; then sequentially performing traversal calculation for 2 to 24 hours in the future, and finally obtaining the unit operation condition of each hour;
for the heat pump unit and the electric refrigerating unit, the corresponding loads are the future 24-hour cold loads, and the generating a future 24-hour cold supply on-off plan of the heat pump unit and the electric refrigerating unit according to the future 24-hour cold loads comprises the following steps: the heat pump unit and the electric refrigerating unit are sequenced and combined from high to low according to the refrigerating capacity of unit power consumption, the cold load of the 1 st hour in the future is obtained, the previous sequencing combination is circularly traversed, the hour refrigerating capacity accumulation calculation of the unit is carried out, the circulation traversal is ended when the accumulated result is larger than the cold load or the sequencing combination is traversed, the unit subjected to accumulation calculation is set to be in a running state, and the unit not subjected to accumulation calculation is set to be in a shutdown state; then sequentially performing traversal calculation for 2 to 24 hours in the future, and finally obtaining the unit operation condition of each hour;
for the gas boiler unit, the corresponding load is a heat load of 24 hours in the future, and generating a heating on-off plan of 24 hours in the future of the gas boiler unit according to the heat load of 24 hours in the future comprises: sequencing and combining the gas boiler units according to the heating quantity of the unit gas quantity from high to low; acquiring the heat load of the 1 st hour in the future, circularly traversing the sequencing combination, and performing the accumulated calculation of the hour heating capacity of the unit; when the accumulated result is larger than the thermal load or the sequencing combination is traversed, the cycle traversal is ended, the unit subjected to accumulated computation is set to be in a running state, and the unit not subjected to accumulated computation is set to be in a shutdown state; then sequentially performing traversal calculation for 2 to 24 hours in the future, and finally obtaining the unit operation condition of each hour.
4. The method for optimizing on-off control of a regional energy station of claim 3,
when generating a cooling on-off plan of the heat pump unit and the electric refrigerating unit for 24 hours in the future according to the cooling load of the future 24 hours, if the condition that the triple supply unit operates in the future is detected, subtracting the accumulated value of the refrigerating capacity of the triple supply unit in the future in the certain hour from the cooling load;
when a heating start-up and shut-down plan of the gas boiler unit for 24 hours in the future is generated according to the heat load of the 24 hours in the future, if the condition that the triple supply unit is put into operation in a certain hour in the future is detected, the accumulated value of the heating quantity of the certain hour of all the triple supply units put into operation needs to be subtracted from the heat load.
5. The on-off control optimizing system of the regional energy station is characterized in that: the system comprises a historical load statistics module, a load weight coefficient setting module, a unit operation data acquisition module, a future load calculation module and a startup and shutdown plan generation module which are sequentially connected in a communication mode;
the historical load statistics module is used for acquiring historical load data of regional energy stations and counting the historical load data of each hour by taking the day as a range;
the load weight coefficient setting module is used for setting load weight coefficients of different types of equipment in the regional energy station before the current moment; the coefficient is used for representing the duty ratio condition of the corresponding loads of different types of equipment with preset time before the current moment; the different types of devices include at least: the system comprises a triple supply unit, a heat pump unit, an electric refrigerating unit and a gas boiler unit;
the unit operation data acquisition module is used for respectively acquiring operation data of the triple co-generation unit, the heat pump unit, the electric refrigerating unit and the gas boiler unit;
the future load calculation module is used for calculating the corresponding load of 24 hours in the future according to the historical load data and the load weight coefficients of different types of equipment with preset time before the queried current time in an hour unit;
the on-off plan generating module is used for respectively generating a power generation on-off plan of the triple supply unit for 24 hours in the future, a cooling on-off plan of the heat pump unit for 24 hours in the future and a heating on-off plan of the gas boiler unit for 24 hours in the future based on the corresponding loads of the triple supply unit, the heat pump unit, the electric refrigerating unit and the gas boiler unit for 24 hours in the future;
in the load weight coefficient setting module, the predetermined time period is 7 days, and after the load weight coefficient is normalized according to the predetermined time period, the following formula is satisfied under the condition of the predetermined time period:
；
wherein the method comprises the steps ofThe load weight coefficient of the i day before the current day is represented, i is an integer, and the value range is 1 to 7;
the load weight coefficientThe method is realized by combining historical load data with a switching loss function, and is expressed by the following formula:
；
wherein x is 1 ，x 2 ，...，x m Represents m historical load data, w 1 ，w 2 ，...，w m Representing weights corresponding to the m pieces of historical load data;
，/>，…/>representing the bandwidth of the gaussian kernel function; d represents the heating value or the refrigerating capacity of a certain unit; />Switch corresponding to d valueMechanical loss, gamma is the coefficient of the loss function; the loss in the on-off loss function increases with the increase of the delivery volume, and beta represents the weight of the on-off loss; s is S 1 ，S 2 ，...，S n Representing the states of n generator sets or refrigerating units, wherein 1 represents operation, -1 represents shutdown; delta 1 ，δ 2 ,., δn represents the outage loss weight of the corresponding unit, the greater the outage loss weight, indicating that the higher the unit efficiency, the greater the outage loss;
in the future load calculation module, load of 24 hours in the future is calculated according to the historical load data and the load weight coefficients of different types of equipment with preset time before the queried current time in an hour unit, and the method specifically comprises the following steps: the load for the future 24 hours was calculated according to the following formula:
；
wherein g is 1 to 24, representing a future 24 hours,the load weight coefficient of the i day before the current day is represented, i is an integer, and the value range is 1 to 7; />Represents the load at the g-th hour of i days before the current day; />Indicating the load at the future g-th hour;
the corresponding loads of the different types of equipment at least comprise: electrical, cold and heat loads.
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