CN106532782B - Operation optimization method and device for cogeneration unit for improving wind power utilization rate - Google Patents

Operation optimization method and device for cogeneration unit for improving wind power utilization rate Download PDF

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CN106532782B
CN106532782B CN201611137881.7A CN201611137881A CN106532782B CN 106532782 B CN106532782 B CN 106532782B CN 201611137881 A CN201611137881 A CN 201611137881A CN 106532782 B CN106532782 B CN 106532782B
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heat
thermal
cogeneration unit
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CN106532782A (en
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许彦平
黄越辉
王跃峰
马烁
礼晓飞
许晓艳
张楠
孙勇
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
State Grid Jilin Electric Power Corp
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
State Grid Jilin Electric Power Corp
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/76—Power conversion electric or electronic aspects

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Abstract

The invention relates to a method and a device for optimizing the operation of a cogeneration unit for improving the wind power utilization rate, which comprises the steps of establishing a heat-electricity output relation model of the cogeneration unit and determining the heat output adjusting range of the cogeneration unit; and in the thermal output adjusting range of the cogeneration unit, performing combined optimization of thermal-electrical output and outputting the optimal solution of the operation mode of the cogeneration unit. Through above scheme adjustment thermoelectric generator set operation mode, optimize thermoelectric generator set output, show under the unchangeable prerequisite of assurance resident heating quality, promoted wind-powered electricity generation utilization ratio.

Description

Operation optimization method and device for cogeneration unit for improving wind power utilization rate
Technical Field
The invention relates to an optimization method and device, in particular to a method and device for optimizing operation of a cogeneration unit, which can improve the wind power utilization rate.
Background
In the heat supply period in winter in the north, the thermoelectric unit needs to maintain the output of the unit at a higher level for heating. Due to the limited electrical load, the space of the power system for receiving wind power is reduced when the thermoelectric generator set is maintained at a high level for a long time. Wind power is received, the whole power system receives the wind power instead of the power grid, and the wind abandon phenomenon is serious.
The power system is composed of a power supply, a user and a power grid. The power supply comprises conventional power supplies such as thermal power, hydroelectric power and the like, and also comprises renewable energy sources such as wind power and the like, and the power supply is used for generating electricity; the grid is responsible for delivering the electricity generated by the power source to consumer users of the electrical energy. Thus, the ultimate consumer of wind power is the user. In the process of wind power consumption, the coordination of a conventional power supply, the transmission of a power grid and the use of a user are required.
In fact, human bodies are insensitive to temperature sensing, the heat supply pipe network and the building have certain heat preservation effects, and the heating temperature has certain adjusting space, so that the effect of improving the wind power utilization rate can be achieved by implementing corresponding technical means in the wind power electricity limiting period.
Disclosure of Invention
In order to meet the requirements, the invention provides a method and a device for optimizing the operation of a cogeneration unit for improving the wind power utilization rate.
The purpose of the invention is realized by adopting the following technical scheme:
a running optimization method for a cogeneration unit for improving the wind power utilization rate is characterized by comprising the following steps:
establishing a heat-electricity output relation model of the cogeneration unit;
determining the thermal output adjusting range of the cogeneration unit;
and in the thermal output adjusting range of the cogeneration unit, performing combined optimization of thermal-electrical output and outputting an optimal solution of the operation mode of the cogeneration unit.
Preferably, the cogeneration unit comprises a back pressure unit and an air extraction unit;
according to the ratio of the generated output and the thermal output of the back pressure unit, a back pressure unit thermal-electrical output relation model is established as follows:
Figure GDA0003021465260000011
in the formula (I), the compound is shown in the specification,
Figure GDA0003021465260000021
the generated output of the ith back pressure type unit at the time t is shown,
Figure GDA0003021465260000022
the thermal output of the ith back pressure type unit at the time t is shown,
Figure GDA0003021465260000023
the ratio of the generated output to the thermal output of the ith back pressure type unit is expressed;
establishing a heat-electricity output relation model of the air extraction type unit according to the ratio of the generated output to the heat output of the air extraction type unit:
Figure GDA0003021465260000024
in the formula (I), the compound is shown in the specification,
Figure GDA0003021465260000025
the generated output of the ith air extraction unit at the time t is shown,
Figure GDA0003021465260000026
the thermal output of the ith suction unit at the time t is shown,
Figure GDA0003021465260000027
indicating pumping units of the ith stationThe ratio of generated output to thermal output;
Figure GDA0003021465260000028
and
Figure GDA0003021465260000029
respectively showing the upper limit and the lower limit of the power generation output of the ith air extraction type unit.
Preferably, the determining the output adjustment range of the cogeneration unit comprises: determining the heat output H of the cogeneration unit at the moment t by taking the thermal inertia, the thermal delay characteristic and the building heat preservation characteristic of the heat supply pipe network as constraint conditions according to the following formulat,iIs limited by
Figure GDA00030214652600000210
The expression is as follows:
Figure GDA00030214652600000211
Figure GDA00030214652600000212
Figure GDA00030214652600000213
in the formula, delta t is the transmission delay time of the heat supply network pipeline; epsilon is the heat supply network pipeline loss coefficient, and H represents the heat output of the cogeneration unit; k1Is the heat dissipation coefficient of the building, K2For heat storage coefficient of buildings, K3Is the heat storage coefficient of the air in the building,
Figure GDA00030214652600000214
representing the heat load of the node i in the heat supply range of the cogeneration unit at the time t; beta is the coupling coefficient of the indoor air temperature and the wall temperature
Figure GDA00030214652600000215
Is time tThe outdoor temperature;
Figure GDA00030214652600000216
represents the temperature value of the wall at time t;
Figure GDA00030214652600000217
and
Figure GDA00030214652600000218
an upper indoor temperature limit and a lower indoor temperature limit for ensuring the comfort of a human body;
conjunctive formula (3) -formula (5), then:
Figure GDA00030214652600000219
Figure GDA00030214652600000220
in the formula (I), the compound is shown in the specification,
Figure GDA0003021465260000031
is a constant, represents the upper limit of the wall temperature variation at the adjacent time,
Figure GDA0003021465260000032
the maximum value and the minimum value of the thermal output of the cogeneration unit meeting the side heat load demand of the user are respectively.
Preferably, the performing of the combined optimization of the thermo-electric output within the output adjustment range of the cogeneration unit comprises: adding constraint conditions related to the running mode of the cogeneration unit and the related attributes of the power system, defining the maximum new energy receiving capacity as a target function, inputting the maximum new energy receiving capacity into CPLEX software, and outputting the optimal solution of the running mode of the cogeneration unit:
Figure GDA0003021465260000033
wherein T is the total length of the scheduling time(ii) a t is the simulation time step length; i is the total number of nodes; i is a node index;
Figure GDA0003021465260000034
and (4) for optimizing the variable, representing a force output value of the system for accepting the i-node wind power plant at the time t.
Further, the adding of the constraint conditions on the operation mode of the cogeneration unit comprises:
and (3) thermal balance constraint:
Figure GDA0003021465260000035
and (3) upper and lower limit restraint of thermal output:
Figure GDA0003021465260000036
and (3) constraining the relationship between the generated output and the thermal output:
Figure GDA0003021465260000037
Figure GDA0003021465260000038
in the formula, Ht,iIs a constant and represents the thermal load of the i node at the time t;
Figure GDA0003021465260000039
and
Figure GDA00030214652600000310
the heat output values of the back pressure type heat supply unit and the air extraction type heat supply unit are respectively represented by positive variables;
Figure GDA00030214652600000311
and
Figure GDA00030214652600000312
the back pressure type unit and the air extraction type unit generate power respectively;
Figure GDA00030214652600000313
is a constant;
Figure GDA00030214652600000314
and
Figure GDA00030214652600000315
the constant values are respectively the minimum generating output of the back pressure unit and the minimum and maximum generating output of the air extraction unit.
Further, the adding constraints on the power system related attributes includes:
minimum on-off time constraint:
Figure GDA0003021465260000041
start-stop state logic constraint:
Figure GDA0003021465260000042
output restraint of the thermal power generating unit:
Figure GDA0003021465260000043
and (3) load balance constraint:
Figure GDA0003021465260000044
and (3) line power flow constraint:
Figure GDA0003021465260000045
and (3) system rotation standby constraint:
Figure GDA0003021465260000046
wind power constraint:
Figure GDA0003021465260000047
in the formula (I), the compound is shown in the specification,
Figure GDA0003021465260000048
the variable is a binary 0-1 variable, the value of the variable is '1' which indicates that the thermal power generating unit is in the running state, and the value of the variable is '0' which indicates that the thermal power generating unit is in the shutdown state;
Figure GDA0003021465260000049
and
Figure GDA00030214652600000410
the variables are binary 0-1 variables and respectively represent that an opening/stopping instruction '1' is sent to the unit and an opening/stopping instruction '0' is stopped to be sent; k1And K2The values are constants and respectively represent the minimum startup time and the minimum shutdown time of the unit;
Figure GDA00030214652600000411
and
Figure GDA00030214652600000412
respectively taking the maximum and minimum output values of the thermal power generating unit; e is an expected value;
Plis a constant, representing the load size; l is the total load number; l is a load index; m is NlineA constant matrix of X I dimension, representing a DC power flow transfer matrix, wherein NlineThe number of transmission lines; i is the total number of nodes of the system;
Figure GDA0003021465260000051
an upper limit for line transmission; p is active power injected into each node, and the value of the active power is the difference value between the sum of the generated output of each node and the thermal load;
Figure GDA0003021465260000052
the theoretical output of the wind power plant is obtained.
A cogeneration unit operation optimizing device for improving wind power utilization rate, the device comprises:
the processing unit is used for establishing a heat-electricity output relation model of the cogeneration unit;
the regulating and controlling unit is used for determining the heat output regulating range of the cogeneration unit;
and the optimization unit is used for executing the combined optimization of the heat-electricity output within the heat output adjustment range of the cogeneration unit and outputting the optimal solution of the running mode of the cogeneration unit.
Preferably, the processing unit includes:
the back pressure unit processing subunit is used for establishing a back pressure unit thermal-electrical output relation model according to the ratio of the generated output and the thermal output of the back pressure unit;
and the air extraction type unit processing subunit is used for establishing an air extraction type unit heat-electricity output relation model according to the ratio of the generated output and the heat output of the air extraction type unit.
Preferably, the regulatory unit comprises:
the condition constraint subunit is used for adding constraint conditions of thermal inertia, thermal delay characteristics and building heat preservation characteristics of a heat supply pipe network of the heat output of the cogeneration unit;
and the determining subunit is used for determining the boundary of the heat output of the cogeneration unit according to the condition constraint subunit.
Preferably, the optimization unit includes:
the first setting subunit is used for adding constraints of the operation mode of the cogeneration unit and the related attributes of the power system;
a second setting subunit for defining the maximization of the new energy admitting ability as an objective function,
and the output subunit is used for inputting the data contained in the first setting subunit and the second setting subunit into CPLEX software and outputting the optimal solution of the operation mode of the cogeneration unit.
Compared with the closest prior art, the invention has the following beneficial effects:
the method and the device provided by the invention build a heat-electricity output relation model of the cogeneration unit; and determining the output adjusting range of the cogeneration unit. And performing combined optimization of the heat-electricity output when the output of the cogeneration unit exceeds the adjusting range. By adding constraint conditions related to the heat preservation characteristics of a heat supply pipe network and a building and the related attributes of an electric power system, the CPLEX planning method is utilized to output the optimal solution of the running mode of the cogeneration unit, so that the heat-electricity output of the cogeneration unit is flexibly adjusted; the method can be provided for technicians to improve the heat output of the cogeneration unit in advance before the wind power limit occurs, and improve the indoor temperature of the cogeneration unit within the heat supply range when the output range of the cogeneration unit is higher than the output range of the cogeneration unit; in the wind power electricity limiting period, the electricity output of the cogeneration unit is reduced, the cogeneration unit operates in a range lower than that of the cogeneration unit, and a reserved space is reserved for wind power consumption, so that the wind power utilization rate is improved, the heat output of the cogeneration unit is monitored, and the minimum heat supply amount is ensured; after the wind power electricity limiting time period is finished, the output of the cogeneration unit is recovered to be within a normal range, and the wind power utilization rate is effectively improved.
Drawings
Fig. 1 is a schematic flow chart of an operation optimization method for a cogeneration unit according to an embodiment of the present invention.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
As shown in fig. 1, the present invention provides a method and a device for optimizing the operation of a cogeneration unit to improve the wind power utilization,
firstly, carrying out statistical analysis on basic information of a total-network cogeneration unit, wherein the basic information comprises data such as rated capacity, minimum technical output, heat supply range and the relationship between the output and the heat supply temperature of the cogeneration unit;
secondly, determining the boundary of the thermoelectric unit through the functional relation between the thermal load and the electrical load based on the thermal load prediction results of different heat supply ranges of the thermoelectric unit and the thermoelectric relation of each unit;
then based on wind power prediction and system load prediction, under the condition of considering the operation constraint of the power system and the operation constraint of the thermoelectric generator set, evaluating the wind power accepting capacity of the power system, and predicting the time period of power limitation; the heat preservation characteristics of a heat supply pipe network and a building are comprehensively considered, and the adjustable range of the output of the cogeneration unit is determined through the functional relation between the heat load and the electric load on the premise of ensuring the heating quality of residents;
and finally, combining the relevant attributes of the power system, namely the conditions of load, wind power operation and the like, executing the combined optimization of the thermal-electric output in the adjusting range of the thermal output and the power generation output, and outputting the optimal solution of the operation mode. The method can improve the heat output of the cogeneration unit in advance before the wind power limit is predicted to occur, operates in a range higher than the basic operating point of the cogeneration unit, and improves the indoor temperature in the heat supply range of the cogeneration unit; in the wind power electricity limiting period, the output of the cogeneration unit is reduced, and when the wind power electricity limiting period is lower than the range of the basic operating point of the cogeneration unit, a reserved space is reserved for wind power consumption, so that the wind power utilization rate is improved, the heat output of the cogeneration unit is monitored, and the minimum heat supply quantity is ensured; and after the wind power limiting time period is finished, restoring the output to a normal range.
The method comprises the following steps:
establishing a heat-electricity output relation model of the cogeneration unit;
the cogeneration unit comprises a back pressure unit and an air extraction unit;
according to the ratio of the generated output and the thermal output of the back pressure unit, a back pressure unit thermal-electrical output relation model is established as follows:
Figure GDA0003021465260000071
in the formula (I), the compound is shown in the specification,
Figure GDA0003021465260000072
the generated power (MW) of the ith back pressure type unit at the time t is shown,
Figure GDA0003021465260000073
the thermal output of the ith back pressure type unit at the time t is shown,
Figure GDA0003021465260000074
the ratio of the generated output to the thermal output of the ith back pressure type unit is expressed;
establishing a heat-electricity output relation model of the air extraction type unit according to the ratio of the generated output to the heat output of the air extraction type unit:
Figure GDA0003021465260000075
in the formula (I), the compound is shown in the specification,
Figure GDA0003021465260000076
the generated output of the ith air extraction unit at the time t is shown,
Figure GDA0003021465260000077
the heat output (GJ) of the ith air extraction unit at the time t is shown,
Figure GDA0003021465260000078
the ratio of the generated output to the thermal output of the ith air extraction unit is expressed;
Figure GDA0003021465260000079
and
Figure GDA00030214652600000710
respectively showing the upper limit and the lower limit of the power generation output of the ith air extraction type unit.
Determining the output adjustment range of the cogeneration unit comprises: by heat inertia and heat delay characteristics of heat supply pipe network and building protectionThe temperature characteristic is a constraint condition, and the heat output H of the cogeneration unit at the time t is determined by the following formulat,iIs limited by
Figure GDA00030214652600000711
The expression is as follows:
Figure GDA00030214652600000712
Figure GDA00030214652600000713
Figure GDA00030214652600000714
in the formula, delta t is the transmission delay time of the heat supply network pipeline; epsilon is the heat supply network pipeline loss coefficient, and H represents the heat output of the cogeneration unit; k1Is the heat dissipation coefficient of the building, K2For heat storage coefficient of buildings, K3Is the heat storage coefficient of the air in the building,
Figure GDA00030214652600000715
representing the heat load of the node i in the heat supply range of the cogeneration unit at the time t; beta is the coupling coefficient of the indoor air temperature and the wall temperature
Figure GDA00030214652600000716
Is the outdoor temperature at time t;
Figure GDA00030214652600000717
represents the temperature value of the wall at time t;
Figure GDA00030214652600000718
and
Figure GDA00030214652600000719
an upper indoor temperature limit and a lower indoor temperature limit for ensuring the comfort of a human body;
combined vertical type (3) -formula (5), then
Figure GDA00030214652600000720
Figure GDA0003021465260000081
In the formula (I), the compound is shown in the specification,
Figure GDA0003021465260000082
is a constant, represents the upper limit of the wall temperature variation at the adjacent time,
Figure GDA0003021465260000083
the maximum value and the minimum value of the thermal output of the cogeneration unit meeting the side heat load demand of the user are respectively.
In the output adjusting range of the cogeneration unit, performing combined optimization of heat-electricity output, and outputting an optimal solution of the operation mode of the cogeneration unit comprises the following steps:
adding constraint conditions related to the running mode of the cogeneration unit and the related attributes of the power system, defining the maximum new energy receiving capacity as a target function, inputting the maximum new energy receiving capacity into CPLEX software, and outputting the optimal solution of the running mode of the cogeneration unit:
Figure GDA0003021465260000084
wherein, T is the total length of the scheduling time; t is the simulation time step length; i is the total number of nodes; i is a node index;
Figure GDA0003021465260000085
and (4) for optimizing the variable, representing a force output value of the system for accepting the i-node wind power plant at the time t.
Wherein adding constraints on the operation mode of the cogeneration unit comprises:
and (3) thermal balance constraint:
Figure GDA0003021465260000086
and (3) upper and lower limit restraint of thermal output:
Figure GDA0003021465260000087
and (3) constraining the relationship between the generated output and the thermal output:
Figure GDA0003021465260000088
Figure GDA0003021465260000089
in the formula, Ht,iIs a constant and represents the thermal load of the i node at the time t;
Figure GDA00030214652600000810
and
Figure GDA00030214652600000811
the heat output values of the back pressure type heat supply unit and the air extraction type heat supply unit are respectively represented by positive variables;
Figure GDA00030214652600000812
and
Figure GDA00030214652600000813
the back pressure type unit and the air extraction type unit generate power respectively;
Figure GDA00030214652600000814
is a constant;
Figure GDA00030214652600000815
and
Figure GDA00030214652600000816
the constant values are respectively the minimum generating output of the back pressure unit and the minimum and maximum generating output of the air extraction unit.
Wherein adding constraints on the power system related attributes comprises:
minimum on-off time constraint:
Figure GDA0003021465260000091
start-stop state logic constraint:
Figure GDA0003021465260000092
output restraint of the thermal power generating unit:
Figure GDA0003021465260000093
and (3) load balance constraint:
Figure GDA0003021465260000094
and (3) line power flow constraint:
Figure GDA0003021465260000095
and (3) system rotation standby constraint:
Figure GDA0003021465260000096
wind power constraint:
Figure GDA0003021465260000097
in the formula (I), the compound is shown in the specification,
Figure GDA0003021465260000098
the variable is a binary 0-1 variable, the value of the variable is '1' which indicates that the thermal power generating unit is in the running state, and the value of the variable is '0' which indicates that the thermal power generating unit is in the shutdown state;
Figure GDA0003021465260000099
and
Figure GDA00030214652600000910
the variables are binary 0-1 variables and respectively represent that an opening/stopping instruction '1' is sent to the unit and an opening/stopping instruction '0' is stopped to be sent; k1And K2The values are constants and respectively represent the minimum startup time and the minimum shutdown time of the unit;
Figure GDA0003021465260000101
and
Figure GDA0003021465260000102
respectively taking the maximum and minimum output values of the thermal power generating unit; e is an expected value;
Plis a constant, representing the load size; l is the total load number; l is a load index; m is NlineA constant matrix of X I dimension, representing a DC power flow transfer matrix, wherein NlineThe number of transmission lines; i is the total number of nodes of the system;
Figure GDA0003021465260000103
an upper limit for line transmission; p is active power injected into each node, and the value of the active power is the difference value between the sum of the generated output of each node and the thermal load;
Figure GDA0003021465260000104
the theoretical output of the wind power plant is obtained.
In addition, the invention provides a cogeneration unit operation optimization device for improving wind power utilization rate, which comprises:
the processing unit is used for establishing a heat-electricity output relation model of the cogeneration unit;
the processing unit includes:
the back pressure unit processing subunit is used for establishing a back pressure unit thermal-electrical output relation model according to the ratio of the generated output and the thermal output of the back pressure unit;
and the air extraction type unit processing subunit is used for establishing an air extraction type unit heat-electricity output relation model according to the ratio of the generated output and the heat output of the air extraction type unit.
The regulating and controlling unit is used for determining the heat output regulating range of the cogeneration unit;
the regulatory unit comprises:
the conditional constraint subunit is used for adding constraints of thermal inertia, thermal delay characteristics and building heat preservation characteristics of a heat supply pipe network of the heat output of the cogeneration unit;
and the determining subunit is used for determining the boundary of the heat output of the cogeneration unit according to the condition constraint subunit.
The optimization unit is used for executing combined optimization of the heat-electricity output within the heat output adjustment range of the cogeneration unit and outputting an optimal solution of the running mode of the cogeneration unit;
the optimization unit includes:
a first setting subunit, configured to add constraints on an operation mode of the cogeneration unit and related attributes of the power system;
the second setting subunit is used for defining the maximization of the new energy receiving capacity as an objective function;
and the output subunit is used for inputting the data contained in the first setting subunit and the second setting subunit into CPLEX software and outputting the optimal solution of the operation mode of the cogeneration unit.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application and not for limiting the protection scope thereof, and although the present application is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: numerous variations, modifications, and equivalents will occur to those skilled in the art upon reading the present application and are within the scope of the claims appended hereto.

Claims (6)

1. A running optimization method for a cogeneration unit for improving the wind power utilization rate is characterized by comprising the following steps:
establishing a heat-electricity output relation model of the cogeneration unit;
determining the thermal output adjusting range of the cogeneration unit;
performing combined optimization of heat-electricity output within the heat output adjusting range of the cogeneration unit, and outputting an optimal solution of the running mode of the cogeneration unit;
the determining of the thermal output adjustment range of the cogeneration unit comprises: determining the heat output H of the cogeneration unit at the moment t by taking the thermal inertia, the thermal delay characteristic and the building heat preservation characteristic of the heat supply pipe network as constraint conditions according to the following formulat,nIs limited by
Figure FDA0003100756590000011
The expression is as follows:
Figure FDA0003100756590000012
Figure FDA0003100756590000013
Figure FDA0003100756590000014
in the formula, delta t is the transmission delay time of the heat supply network pipeline; epsilon is the heat supply network pipeline loss coefficient, and H represents the heat output of the cogeneration unit; k1Is the heat dissipation coefficient of the building, K2For heat storage coefficient of buildings, K3Is the heat storage coefficient of the air in the building,
Figure FDA0003100756590000015
representing the heat load of the node n in the heat supply range of the cogeneration unit at the time t; beta is the coupling coefficient of the indoor air temperature and the wall temperature;
Figure FDA0003100756590000016
is the outdoor temperature at time t;
Figure FDA0003100756590000017
represents the temperature value of the wall at time t;
Figure FDA0003100756590000018
and
Figure FDA0003100756590000019
an upper indoor temperature limit and a lower indoor temperature limit for ensuring the comfort of a human body;
conjunctive formula (3) -formula (5), then:
Figure FDA00031007565900000110
Figure FDA0003100756590000021
in the formula (I), the compound is shown in the specification,
Figure FDA0003100756590000022
is a constant, represents the upper limit of the wall temperature variation at the adjacent time,
Figure FDA0003100756590000023
the maximum value and the minimum value of the heat output of the cogeneration unit meeting the side heat load requirement of a user are respectively;
the performing of the combined optimization of the thermal-electric power output within the thermal power output adjustment range of the cogeneration unit comprises: adding constraint conditions related to the running mode of the cogeneration unit and the related attributes of the power system, defining the maximum new energy receiving capacity as a target function, inputting the maximum new energy receiving capacity into CPLEX software, and outputting the optimal solution of the running mode of the cogeneration unit:
Figure FDA0003100756590000024
wherein, T is the total length of the scheduling time; t is the simulation time step length; n is the total number of nodes of the system; n is a node index;
Figure FDA0003100756590000025
the method comprises the steps that for optimizing variables, output values of a system for accepting the n-node wind power plants at the time t are represented;
the cogeneration unit comprises a back pressure unit and an air extraction unit;
according to the ratio of the generated output and the thermal output of the back pressure unit, a back pressure unit thermal-electrical output relation model is established as follows:
Figure FDA0003100756590000026
in the formula (I), the compound is shown in the specification,
Figure FDA0003100756590000027
the generated output of the ith back pressure type unit at the time t is shown,
Figure FDA0003100756590000028
the thermal output of the ith back pressure type unit at the time t is shown,
Figure FDA0003100756590000029
the ratio of the generated output to the thermal output of the ith back pressure type unit is expressed;
establishing a heat-electricity output relation model of the air extraction type unit according to the ratio of the generated output to the heat output of the air extraction type unit:
Figure FDA0003100756590000031
in the formula (I), the compound is shown in the specification,
Figure FDA0003100756590000032
the generated output of the ith air extraction unit at the time t is shown,
Figure FDA0003100756590000033
the thermal output of the ith suction unit at the time t is shown,
Figure FDA0003100756590000034
the ratio of the generated output to the thermal output of the ith air extraction unit is expressed;
Figure FDA0003100756590000035
and
Figure FDA0003100756590000036
respectively representing the upper limit and the lower limit of the power generation output of the ith air extraction type unit;
the adding of the constraint conditions on the operation mode of the cogeneration unit comprises the following steps:
and (3) thermal balance constraint:
Figure FDA0003100756590000037
and (3) upper and lower limit restraint of thermal output:
Figure FDA0003100756590000038
and (3) constraining the relationship between the generated output and the thermal output:
Figure FDA0003100756590000039
Figure FDA00031007565900000310
in the formula (I), the compound is shown in the specification,
Figure FDA00031007565900000311
and
Figure FDA00031007565900000312
are all positive variables;
Figure FDA00031007565900000313
and
Figure FDA00031007565900000314
are all positive variables; ht,n、
Figure FDA00031007565900000315
And
Figure FDA00031007565900000316
is a constant;
Figure FDA00031007565900000317
and
Figure FDA00031007565900000318
are all constant and are all provided with the same power,
Figure FDA00031007565900000319
and the minimum generated output of the back pressure unit is shown.
2. The method of claim 1, wherein the adding constraints on power system related attributes comprises:
minimum on-off time constraint:
Figure FDA0003100756590000041
start-stop state logic constraint:
Figure FDA0003100756590000042
output restraint of the thermal power generating unit:
Figure FDA0003100756590000043
and (3) load balance constraint:
Figure FDA0003100756590000044
and (3) line power flow constraint:
Figure FDA0003100756590000045
and (3) system rotation standby constraint:
Figure FDA0003100756590000046
wind power constraint:
Figure FDA0003100756590000047
in the formula (I), the compound is shown in the specification,
Figure FDA0003100756590000051
the variable is a binary 0-1 variable, the value of the variable is '1' which indicates that the thermal power generating unit is in the running state, and the value of the variable is '0' which indicates that the thermal power generating unit is in the shutdown state;
Figure FDA0003100756590000052
and
Figure FDA0003100756590000053
the variables are binary 0-1 variables and respectively represent that an opening/stopping instruction '1' is sent to the live generating set and an opening/stopping instruction '0' is stopped to be sent; k1' and K2The' are constants which respectively represent the minimum startup time and the minimum shutdown time of the thermal power generating unit;
Figure FDA0003100756590000054
and
Figure FDA0003100756590000055
respectively taking the maximum and minimum output values of the thermal power generating unit; e is an expected value;
Plis a constant, representing the load size; l is the total load number; l is a load index; m is NlineA constant matrix of X I dimension, representing a DC power flow transfer matrix, wherein NlineThe number of transmission lines;
Figure FDA0003100756590000056
an upper limit for line transmission; p is active power injected into each node, and the value of the active power is the difference value between the sum of the generated output of each node and the thermal load;
Figure FDA0003100756590000057
the theoretical output of the wind power plant is obtained.
3. An optimization device for implementing the operation optimization method of the cogeneration unit for improving the wind power utilization rate according to any one of claims 1 to 2, the device comprising:
the processing unit is used for establishing a heat-electricity output relation model of the cogeneration unit;
the regulating and controlling unit is used for determining the heat output regulating range of the cogeneration unit;
and the optimization unit is used for executing the combined optimization of the heat-electricity output within the heat output adjustment range of the cogeneration unit and outputting the optimal solution of the running mode of the cogeneration unit.
4. The apparatus of claim 3, wherein the processing unit comprises:
the back pressure unit processing subunit is used for establishing a back pressure unit thermal-electrical output relation model according to the ratio of the generated output and the thermal output of the back pressure unit;
and the air extraction type unit processing subunit is used for establishing an air extraction type unit heat-electricity output relation model according to the ratio of the generated output and the heat output of the air extraction type unit.
5. The device of claim 3, wherein the regulatory unit comprises:
the conditional constraint subunit is used for adding constraints of thermal inertia, thermal delay characteristics and building heat preservation characteristics of a heat supply pipe network of the heat output of the cogeneration unit;
and the determining subunit is used for determining the boundary of the heat output of the cogeneration unit according to the condition constraint subunit.
6. The apparatus of claim 3, wherein the optimization unit comprises:
a first setting subunit, configured to add constraints on an operation mode of the cogeneration unit and related attributes of the power system;
the second setting subunit is used for defining the maximization of the new energy receiving capacity as an objective function; and the output subunit is used for inputting the data contained in the first setting subunit and the second setting subunit into CPLEX software and outputting the optimal solution of the operation mode of the cogeneration unit.
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