CN115441515B - Coal-gas unit joint state optimization control method - Google Patents
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- 239000003034 coal gas Substances 0.000 title claims abstract description 51
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- 239000003245 coal Substances 0.000 claims abstract description 59
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- 238000010248 power generation Methods 0.000 claims description 38
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- 230000009194 climbing Effects 0.000 claims description 10
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- 230000005611 electricity Effects 0.000 claims description 4
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- 239000003345 natural gas Substances 0.000 claims description 3
- 230000008901 benefit Effects 0.000 claims description 2
- 230000008569 process Effects 0.000 abstract description 8
- 238000010977 unit operation Methods 0.000 abstract description 3
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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
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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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
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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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
- 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]
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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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/10—The dispersed energy generation being of fossil origin, e.g. diesel generators
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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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/40—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
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Abstract
The invention discloses a coal-gas unit joint state optimization control method, which specifically comprises the following steps: introducing a coal consumption-output function of the coal-fired unit and a gas consumption-output function of the gas-fired unit to describe the influence of the output power of the unit on the coal consumption rate and the gas consumption rate respectively; the three running states of the unit and the corresponding switching conditions are divided in detail, and the whole flow real-time running state of the regulation and control of the coal-gas unit is incorporated into the decision process of regulation and control and is visualized. According to the technical scheme, the fuel cost calculation of the coal-fired and gas-fired unit can be more accurate in optimization calculation and accords with the actual operation condition; meanwhile, the invention can combine various unit operation parameters in real time, define real-time operation states of the units and optimize and control the states, so that the coal-gas unit can combine to respond to random fluctuation of load in real time, know the operation states of the coal-gas unit in real time and is convenient for monitoring and maintaining the coal-gas unit.
Description
Technical Field
The invention relates to the technical field of coal-gas unit combined power generation scheduling, in particular to a coal-gas unit combined state optimization control method.
Background
The combined power generation scheduling of the coal-gas units reasonably arranges the power generation output of each coal-gas unit on the premise of considering each constraint of safe and stable operation of the power system, so that the total power generation cost is minimum and the economic benefit is optimal. However, the traditional coal-gas unit combined power generation scheduling model does not consider the change of the coal consumption rate and the gas consumption rate caused by the change of the equipment output, so that the calculation result of the equipment operation cost is not accurate enough. Meanwhile, the traditional model and strategy are difficult to quickly respond to real-time fluctuation of load, and the specific state of the unit in each period of time during the running of the equipment cannot be timely judged and considered.
The scholars at home and abroad have made a great deal of research on the unit combined power generation scheduling. The literature (general overview of optimizing methods of unit combination problems) (Chen Haoyong, wang Xifan. General overview of optimizing methods of unit combination problems [ J ]. Electric power system automation, 1999 (04): 51-56.) establishes a mathematical model of unit combination power generation scheduling problems, and generalizes and summarizes common methods of unit combination power generation scheduling problems, such as heuristic methods, dynamic planning methods, mixed integer planning methods and the like. The application of the particle swarm optimization algorithm in the electric power system (Yuan Xiaohui, wang Cheng, zhang Yong, etc.. The application of the particle swarm optimization algorithm in the electric power system [ J ]. Electric network technology, 2004 (19): 14-19.) provides an application scene of the particle swarm algorithm in the unit joint power generation scheduling problem, points out that the particle swarm algorithm is taken as a typical representative of an intelligent algorithm, has a profound intelligent background and is suitable for engineering application. The document (Deng Jun, wei Hua, li Jinghua, and the like) discloses a unit combination mixed integer linear programming model containing four types of 0-1 variables, namely a unit combination mixed integer linear programming model containing four types of 0-1 variables [ J ]. Chinese motor engineering journal 2015,35 (11): 2770-2778.) provides a new model containing four types of 0-1 auxiliary variables on the basis of a classical unit combination mixed integer programming model, and the actual running state of the unit is better described by introducing the auxiliary variables. The dynamic unit combination and the equal micro-increment method are combined based on a power generation sequence table, so that the load distribution problem of energy-saving scheduling is well solved. The literature (Deng Jun, wei Hua, li Jinghua) discloses a thermal power unit combined integer linear programming model considering electric quantity realizability and start-stop power tracks, wherein the thermal power unit combined integer linear programming model considering electric quantity realizability and start-stop power tracks [ J ]. Electric network technology, 2015,39 (10): 2882-2888.) considers the generated energy of the thermal power unit in the start-stop process, and the combined power generation scheduling model is more in line with the actual situation by establishing the power tracks of the start-stop of the unit.
The current scheduling model is difficult to ensure that the requirements of optimal operation economy and stable change of the operation output of each unit of combined power generation scheduling are met while flexibly responding to the load demand change of the power system. In the process of optimizing calculation, the change of the coal consumption rate and the gas consumption rate caused by the actual output change of the equipment is not considered, so that the larger deviation exists between the coal consumption amount and the gas consumption amount during the operation of the equipment. Meanwhile, the running state information of each unit cannot be judged and known in real time, and the condition that the output of the larger unit fluctuates back and forth exists in the regulation result, so that the healthy and stable running and maintenance of the unit are not facilitated over time.
Disclosure of Invention
In order to solve the problems that the current dispatching model is difficult to consider the adjustment requirements of optimal economy and stable output change in real time, and the large deviation is caused by the change of the coal consumption rate and the gas consumption rate caused by the fact that the actual output change is not considered in the traditional optimization calculation process; provides a coal-gas unit joint state optimization control method.
For this, a coal consumption coefficient and a gas consumption coefficient are introduced, and various parameters are taken into consideration in combination into the objective function. The actual output change is not considered in the traditional optimization calculation process, so that the larger deviation is caused by the change of the coal consumption rate and the gas consumption rate. The invention introduces a coal consumption-output function of the coal-fired unit and a gas consumption-output function of the gas-fired unit to describe the influence of the output power of the unit on the coal consumption rate and the gas consumption rate respectively. For the condition that the running state information of each unit is not easy to be clarified, three running states are defined as Stable, up and Down and corresponding changing conditions. And finally, visualizing the regulation and control whole flow state of the coal-gas unit by a coal-gas unit joint state optimization control method, so that the coal-gas unit joint responds to the random fluctuation of the load in real time.
The invention provides a coal-gas unit joint state optimization control method, which specifically comprises the following steps:
Step one: various parameters of the coal-gas unit such as the running state of the combustion in the running period of the unit, the maximum and minimum output of the unit, the climbing rate of the unit, the power generation coal consumption coefficient of the coal-gas unit, the power generation coal consumption coefficient of the gas unit, the cost of coal used by the coal-gas unit and the cost of natural gas used by the gas unit are obtained, and an objective function, constraint conditions (namely, the constraint of system rotation reserve, the constraint of the maximum and minimum output of the unit and the constraint of the climbing rate of the unit) and the regulation and control period number are set.
Step two: and determining the initial output and the initial running state of each unit, and starting to perform the combined state optimization control of the coal-gas unit.
Step three: the output power of the coal-fired unit, the output power of the gas-fired unit and the predicted load power in the current period are read in real time, and the coal consumption rate of the coal-fired unit and the gas consumption rate of the gas-fired unit are calculated by combining the power generation coal consumption coefficient of the coal-fired unit and the power generation electricity consumption coefficient of the gas-fired unit according to the coal consumption-output function of the coal-fired unit and the gas consumption-output function of the gas-fired unit;
Coal consumption-output function of coal-fired unit:
Wherein, The coal consumption rate of the coal-fired unit in the current period; /(I)The output of the coal-fired unit in the current period; Is the quadratic term coefficient of the coal consumption-output function of the coal-fired unit; /(I) Is the primary term coefficient of the coal consumption-output function of the coal-fired unit; /(I)Is a constant term coefficient of a coal consumption-output function of the coal-fired unit; /(I)The method is an increment of the coal consumption rate of the coal-fired unit when the output fluctuates.
And (II) gas consumption-output function of the gas unit:
Wherein, The gas consumption rate of the gas unit in the current period; /(I)The output of the gas unit in the current period; the quadratic term coefficient of the gas consumption-output function of the gas unit; /(I) The primary term coefficient of the gas consumption-output function of the gas unit; /(I)Is a constant term coefficient of the coal consumption-output function of the gas unit.
Step four: substituting the coal consumption rate of the coal-fired unit and the gas consumption rate of the gas-fired unit into the objective function in the first step, calling a particle swarm algorithm to perform optimization calculation on the unit combination state of the next regulation and control period by combining the constraint conditions in the first step, generating corresponding regulation and control instructions, updating the output and the running state of each unit, and storing related information.
(1) Objective function:
the first term in the formula is the total power generation cost of the coal-fired unit, wherein For the number of regulation periods within one operating day,/>Is the number of coal-fired units,/>For/>The first place of the coal-fired unitPower generation cost of time period,/>For/>The first place of the coal-fired unitThe output of the time period;
The second term in the formula is the total power generation cost of the gas unit, wherein Is the number of gas units,/>For/>The first place of the gas unitPower generation cost of time period,/>For/>The first place of the gas unitThe output of the time period.
The power generation cost of the coal-fired unit and the gas-fired unit in a certain periodAnd/>The following are provided:
(2) Constraint conditions:
a) System rotation reserve constraints:
the total power generated by the combined power generation of the coal-gas unit needs to meet the real-time load demand in any period, and a certain proportion of rotation is reserved for standby; the concrete steps are as follows:
In the middle of The number of the coal-fired units; /(I)For/>The first place of the coal-fired unitThe output of the time period; /(I)The number of the gas units; /(I)For/>The first place of the gas unitThe output of the time period; /(I)And/>Load demand and rotational standby demand of the system during this period, respectively,/>Get/>5% Of (C).
B) Data traffic constraints:
both the communication link and the data center have real-time data transmission quantity constraint, and if the constraint cannot be satisfied, a series of problems such as data mistransmission, missing and the like can occur, so that a correct scheduling decision is affected. The data transfer amount constraint for an arbitrary period is as follows:
Wherein, Capacity occupied by information transmitted over the communications link for that period of time,/>Maximum transmission capacity for the communication link; /(I)For the capacity that the data center has used for this period,/>Maximum storage capacity for the data center.
C) Maximum and minimum output constraint of the unit:
for any unit, the output cannot be higher than the maximum output or lower than the minimum output; the concrete steps are as follows:
Wherein, For a certain coal-fired unit at the first/>The output of the time period; /(I)For a certain gas unit at the first placeThe output of the time period.
D) Unit climbing rate constraint:
any unit needs to meet the climbing rate constraint, taking a certain coal-fired unit as an example:
Wherein, The absolute value of the maximum output change of a certain coal-fired unit in two adjacent time periods is given; there are also constraints on the gas turbine set that are shaped as above.
(3) Unit operation state judgment and update
According to the difference of the front and back output changes of the unit in each period, three operation states of the unit are defined as Stable, up and Down.
Wherein,The operation state of the coal-fired unit in the current period; /(I)The value of (2) is determined according to the characteristics of the unit; /(I)The output of the coal-fired unit in the current period; /(I)The operation state of the gas unit in the current period; /(I)The output of the gas unit in the current period; /(I)Is the current operating period; /(I)For the next run period.
Step five: judging whether the regulation and control time periods are all solved, if yes, entering a step six; if not, repeating the third step, and solving the next regulation and control period.
Step six: and outputting the combined state change track of the coal-gas units integrating all the time periods in the regulation time period after the regulation time period is finished.
The beneficial effects are that: according to the technical scheme, the coal consumption-output function of the coal-fired unit and the gas consumption-output function of the gas-fired unit are introduced to describe the influence of the unit output power on the coal consumption rate and the gas consumption rate respectively because the coal-gas unit joint state optimization control method is adopted in the embodiment of the invention. The invention divides three running states ('Stable', 'Up' and 'Down') of the unit and the corresponding switching conditions in detail, brings the whole flow real-time running state of the regulation and control of the coal-gas unit into the decision process of regulation and control and visualizes, so that the coal-gas unit is combined with the random fluctuation of the real-time response load and can be convenient for monitoring and maintaining the coal-gas unit.
Step one, acquiring real-time key parameters of the running state of the coal-gas unit and optimizing and regulating key parameters; step two, setting an initial running state of the unit and then entering a regulation and control period; step three, introducing a coal consumption-output function of the coal-fired unit and a gas consumption-output function of the gas-fired unit to describe the influence of the output power of the unit on the coal consumption rate and the gas consumption rate respectively, and correcting the actual coal consumption of the coal-fired unit and the actual coal consumption of the gas-fired unit in real time; step four, according to a set optimization algorithm and target solution, obtaining real-time adjustment instructions of the output of each unit and storing adjustment instruction information; step five, judging whether the regulation and control period is finished or not so as to decide whether to finish optimizing regulation and control or not; and step six, integrating and outputting the running change track in the whole regulation and control period of the unit so as to facilitate the monitoring and maintenance of operation and maintenance personnel.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a coal-gas fired unit joint state optimization control method;
FIG. 2 is a daily load operating curve;
FIG. 3 is a graph showing the result of the combined state control of the coal-gas unit when the load fluctuates randomly.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment of the invention provides a coal-gas unit joint state optimization control method, which can introduce a coal consumption-output function of a coal-fired unit and a gas consumption-output function of the gas unit to describe the influence of unit output power on the coal consumption rate and the gas consumption rate respectively; the whole flow real-time operation state of the regulation and control of the coal-gas unit is incorporated into the decision process of regulation and control and visualized, so that the coal-gas unit is combined with the random fluctuation of real-time response load and can be convenient for monitoring and maintaining the coal-gas unit.
The embodiment of the invention also provides a corresponding call processing system. The following will describe in detail.
Step one: various parameters of the coal-gas unit such as the running state of the combustion in the running period of the unit, the maximum and minimum output of the unit, the climbing rate of the unit, the power generation coal consumption coefficient of the coal-gas unit, the power generation coal consumption coefficient of the gas unit and the related parameters of raw materials (the cost of coal and natural gas) used by the unit are obtained, and an objective function, constraint conditions (constraint of system rotation reserve, constraint of maximum and minimum output of the unit and constraint of climbing rate of the unit) and the regulation and control period number are set.
The case setting is used for solving a combined power generation scheduling strategy within 24 hours of one operation day, and taking the number of the regulation and control time periods, the duration of each regulation and control time period is calculated. The combined power generation unit consisting of 3 coal-fired units (No. 1 unit, no.2 unit and No. 3 unit) and 2 gas units (namely No. 4 unit and No. 5 unit) is taken as an example for analysis, and specific parameters of the coal-fired units and the gas units are shown in tables 1 and 2.
Table 1 coal-fired unit parameters
Table 1 Parameters of coal-fired units
Table 2 gas unit parameters
Table 2 Parameters of gas-fired units
Load data is scaled proportionally from the unit output scale of the present example by the load data of the belgium grid company Elia at 2022, 5 months and 10 days, as shown in fig. 2.
Step two: determining initial output and initial running state of each unit, and starting to perform coal-gas unit joint state optimization control;
The initial power values for each unit were 130MW, 160MW, 240MW, 300MW and 300MW in order.
Step three: the output power of the coal-fired unit, the output power of the gas-fired unit and the predicted load power in the current period are read in real time, and the coal consumption rate of the coal-fired unit and the gas consumption rate of the gas-fired unit are calculated by combining the power generation coal consumption coefficient of the coal-fired unit and the power generation electricity consumption coefficient of the gas-fired unit according to the coal consumption-output function of the coal-fired unit and the gas consumption-output function of the gas-fired unit;
Coal consumption-output function of coal-fired unit:
Wherein, The coal consumption rate of the coal-fired unit in the current period; /(I)The output of the coal-fired unit in the current period; Is the quadratic term coefficient of the coal consumption-output function of the coal-fired unit; /(I) Is the primary term coefficient of the coal consumption-output function of the coal-fired unit; /(I)Is a constant term coefficient of a coal consumption-output function of the coal-fired unit; /(I)The method is an increment of the coal consumption rate of the coal-fired unit when the output fluctuates.
And (II) gas consumption-output function of the gas unit:
Wherein, The gas consumption rate of the gas unit in the current period; /(I)The output of the gas unit in the current period; /(I)The quadratic term coefficient of the gas consumption-output function of the gas unit; /(I)The primary term coefficient of the gas consumption-output function of the gas unit; /(I)Is a constant term coefficient of the coal consumption-output function of the gas unit.
Step four: substituting the coal consumption rate of the coal-fired unit and the gas consumption rate of the gas-fired unit into the objective function in the first step, calling a particle swarm algorithm to perform optimization calculation on the unit combination state of the next regulation and control period by combining the constraint conditions in the first step, generating corresponding regulation and control instructions, updating the output and the running state of each unit, and storing related information.
(1) Objective function:
the first term in the formula is the total power generation cost of the coal-fired unit, wherein For the number of regulation periods within one operating day,/>Is the number of coal-fired units,/>For/>The first place of the coal-fired unitPower generation cost of time period,/>For/>The first place of the coal-fired unitThe output of the time period;
The second term in the formula is the total power generation cost of the gas unit, wherein For the number of regulation periods within one operating day,/>Is the number of gas units,/>For the first gas unit at the/>Power generation cost of time period,/>For/>The first place of the gas unitThe output of the time period.
The power generation cost of the coal-fired unit and the gas-fired unit in a certain periodAnd/>The following are provided:
(2) Constraint conditions:
e) System rotation reserve constraints:
The total power generated by the coal-gas unit combined power generation needs to meet the real-time load demand in any time period, and a certain proportion of rotation reserve is reserved, which is specifically expressed as follows:
In the middle of The number of the coal-fired units; /(I)For/>The first place of the coal-fired unitThe output of the time period; /(I)The number of the gas units; /(I)For/>The first place of the gas unitThe output of the time period; /(I)For the load demand of the system in this period,/>For rotational standby demand of the system during this period,/>Get/>5% Of (C).
F) Data traffic constraints:
both the communication link and the data center have real-time data transmission quantity constraint, and if the constraint cannot be satisfied, a series of problems such as data mistransmission, missing and the like can occur, so that a correct scheduling decision is affected. The data transfer amount constraint for an arbitrary period is as follows:
Wherein, Capacity occupied by information transmitted over the communications link for that period of time,/>Maximum transmission capacity for the communication link; /(I)For the capacity that the data center has used for this period,/>Maximum storage capacity for the data center.
G) Maximum and minimum output constraint of the unit:
for any unit, the output cannot be higher than the maximum output or lower than the minimum output, and the specific expression is as follows:
Wherein, For a certain coal-fired unit at the first/>The output of the time period; /(I)For a certain gas unit at the first placeThe output of the time period.
H) Unit climbing rate constraint:
any unit needs to meet the climbing rate constraint, taking a certain coal-fired unit as an example:
Wherein, The absolute value of the maximum output change of a certain coal-fired unit in two adjacent time periods is given; there are also constraints on the gas turbine set that are shaped as above.
(3) Unit operation state judgment and update
According to the difference of the front and back output changes of the unit in each period, three running states of the unit are defined as Stable, up and Down;
Wherein, The operation state of the coal-fired unit in the current period; /(I)The value of (2) is determined according to the characteristics of the unit; /(I)The output of the coal-fired unit in the current period; /(I)The operation state of the gas unit in the current period; /(I)The output of the gas unit in the current period; /(I)Is the current operating period; /(I)For the next run period.
Step five: judging whether the regulation and control time periods are all solved, if yes, entering a step six; if not, repeating the third step, and solving the next regulation and control period.
Step six: and outputting the combined state change track of the coal-gas units integrating all the time periods in the regulation time period after the regulation time period is finished.
The system has random fluctuation of load from 47 time periods to 56 time periods, and the obtained state optimization result is shown in fig. 3. Compared with the normal running state, the result shows that the output of the two coal-fired units is limited in the scene within the period of 10-30, and the No. 4 and No. 5 gas-fired units need to perform rapid load lifting actions to meet the power consumption requirement of the power grid. And because the generating cost of the gas unit is higher, the total cost of generating electricity in the running day under the scene is 923.63 ten thousand yuan.
It should be noted that, because the content of information interaction and execution process between the units in the device and the system is based on the same concept as the embodiment of the method of the present invention, specific content may be referred to the description in the embodiment of the method of the present invention, and will not be repeated here.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be implemented by a program to instruct related hardware, the program may be stored in a computer readable storage medium, and the storage medium may include: read Only Memory (ROM), random access Memory (RAM, random Access Memory), magnetic or optical disk, and the like.
The above describes in detail a method for optimizing and controlling the combined state of a coal-gas turbine unit provided by the embodiment of the present invention, and specific examples are applied to illustrate the principle and implementation of the present invention, and the description of the above examples is only used to help understand the method and core idea of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Claims (2)
1. The coal-gas unit joint state optimization control method is characterized by comprising the following steps of:
step one: the method for acquiring various parameters of the coal-gas unit comprises the following steps: the method comprises the steps of setting relevant parameters of the running state of the unit in the running period, the maximum and minimum output of the unit, the climbing rate of the unit, the power generation and coal consumption coefficient of the coal-fired unit, the power generation and gas consumption coefficient of the gas-fired unit, the cost of coal used by the coal-fired unit and the cost of natural gas used by the gas-fired unit, and setting an objective function, constraint conditions and a regulation period number;
Step two: determining initial output and initial running state of each unit, and starting to perform coal-gas unit joint state optimization control;
Step three: the output power of the coal-fired unit, the output power of the gas-fired unit and the predicted load power in the current period are read in real time, and the coal consumption rate of the coal-fired unit and the gas consumption rate of the gas-fired unit are calculated by combining the power generation coal consumption coefficient of the coal-fired unit and the power generation electricity consumption coefficient of the gas-fired unit according to the coal consumption-output function of the coal-fired unit and the gas consumption-output function of the gas-fired unit;
Step four: substituting the coal consumption rate of the coal-fired unit and the gas consumption rate of the gas-fired unit into the objective function in the first step, calling a particle swarm algorithm to perform optimization calculation on the unit joint state of the next regulation period by combining the constraint condition in the first step, generating a corresponding regulation command, updating the output and the running state of each unit, and storing related information;
step five: judging whether the regulation and control time periods are all solved, if yes, entering a step six; if not, repeating the third step, and solving the next regulation and control period;
step six: outputting the combined state change track of the coal-gas units integrating all the time periods in the regulation time period after the regulation time period is finished;
in the state optimization regulation, the influence of the coal consumption rate change caused by the real-time change of the output change of the coal-fired unit is considered by constructing the coal consumption-output function of the coal-fired unit, and the method is specifically expressed as follows: ，
Wherein, The coal consumption rate of the coal-fired unit in the current period; /(I)The output of the coal-fired unit in the current period; /(I)Is the quadratic term coefficient of the coal consumption-output function of the coal-fired unit; /(I)Is the primary term coefficient of the coal consumption-output function of the coal-fired unit; /(I)Is a constant term coefficient of a coal consumption-output function of the coal-fired unit; /(I)The increment of the coal consumption rate of the coal-fired unit when the output fluctuates;
In the state optimization regulation, the influence of the gas consumption rate change caused by the gas unit output change which changes in real time is considered by constructing a gas consumption-output function of the gas unit, and the method is specifically expressed as follows:
，
Wherein, The gas consumption rate of the gas unit in the current period; /(I)The output of the gas unit in the current period; /(I)The quadratic term coefficient of the gas consumption-output function of the gas unit; /(I)The primary term coefficient of the gas consumption-output function of the gas unit; /(I)The constant term coefficient of the coal consumption-output function of the gas unit;
the output instruction of the state control of the previous period is used as the input of the next period, the state of the unit is updated in real time, the real-time running condition of the unit is visualized and relevant information is stored, and the method is specifically expressed as follows:
According to the difference of the front and back output changes of the unit in each period, three running states of the unit are defined as Stable, up and Down;
，
；
Wherein, The operation state of the coal-fired unit in the current period; /(I)The allowable output force variation range of two adjacent time periods when the unit is in a Stable state is set, and the value of the allowable output force variation range is determined according to the characteristics of the unit; /(I)The output of the coal-fired unit in the current period; /(I)The operation state of the gas unit in the current period; /(I)The output of the gas unit in the current period; /(I)Is the current operating period; /(I)For the next run period;
the constraint conditions comprise a system rotation standby constraint, a unit maximum and minimum output constraint and a unit climbing rate constraint.
2. The coal-gas unit joint state optimization control method according to claim 1, characterized by comprising the following steps: the method has the advantages that the regulation and control whole flow state of the coal-gas unit is visualized, the track of the state change of the coal-gas unit in the whole operation area is saved, the coal-gas unit is combined to respond to the random fluctuation of the load in real time, the state information of the coal-gas unit can be known and called at any time, and timely monitoring, overhauling and maintenance of the coal-gas unit are facilitated.
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