CN112712190A - Multi-constraint-considered peak shaving scheduling method for oilfield self-contained thermal power plant unit - Google Patents

Multi-constraint-considered peak shaving scheduling method for oilfield self-contained thermal power plant unit Download PDF

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CN112712190A
CN112712190A CN202010924001.0A CN202010924001A CN112712190A CN 112712190 A CN112712190 A CN 112712190A CN 202010924001 A CN202010924001 A CN 202010924001A CN 112712190 A CN112712190 A CN 112712190A
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王艳松
李泉辰
邹璞
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China University of Petroleum East China
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Abstract

The invention provides a multi-constraint oil field self-contained thermal power plant unit peak regulation scheduling method, which comprises three parts of determining a coal distribution strategy, analyzing heat supply and electricity output sequence positions of a thermal power plant unit to formulate a peak regulation scheduling strategy, and establishing a thermal power plant unit peak regulation scheduling mathematical model considering multi-constraints. The method comprises the steps of reasonably distributing annual coal consumption to typical days of seasons according to coal consumption indexes and heat supply quality factors, formulating a peak regulation strategy according to a position analysis method to cover different unit combinations under typical scenes of the seasons, and comprehensively considering the establishment of a multi-constraint thermal power plant unit peak regulation scheduling mathematical model, wherein coal carbon quantitative constraint, direct supply load constraint, unit operation constraint, technical constraint and thermoelectric coupling constraint are considered.

Description

Multi-constraint-considered peak shaving scheduling method for oilfield self-contained thermal power plant unit
Technical Field
The invention relates to a multi-constraint thermal power plant unit peak shaving optimization scheduling method, which is suitable for photovoltaic-accessed oilfield self-contained thermal power plant unit peak shaving scheduling and belongs to the field of unit operation scheduling.
Background
The oil fields in the whole country are not only large households with fossil energy for generating energy, but also large households with energy consumption, and the required electric power is mainly from self-contained thermal power plants and is promoted to respond to national energy strategies and renewable energy sources. The oil field power supply is a self-sufficient relatively independent power grid, mainly comprising a self-contained thermal power plant and a photovoltaic power plant and taking a system power supply as an auxiliary power supply. The volatility and the uncontrollable nature of photovoltaic output provide a severe challenge to peak regulation of relatively independent power grids.
Aiming at the characteristics of an oil field power grid structure and an oil field load, multiple technologies and economic constraints are considered, a dispatching strategy of a self-prepared thermal power plant is researched from the optimal global economy of the oil field energy production cost, the peak-load-adjusting output of a thermoelectric unit is optimized, photovoltaic power generation is reasonably consumed, and the method has important theoretical research significance and engineering application value.
Disclosure of Invention
The invention aims to solve the problem of consumption of grid-connected power generation of an oil field power grid photovoltaic power station, and provides a multi-constraint-based peak shaving scheduling method for an oil field self-contained thermal power plant unit, which considers quantitative coal carbon constraint, direct supply load constraint, unit maintenance mechanism, unit operation constraint, technical constraint and thermoelectric coupling constraint aiming at the structure and load characteristics of the oil field power grid.
In order to achieve the purpose, the invention adopts the following technical scheme:
1. a multi-constraint considered peak shaving scheduling method for an oil field self-contained thermal power plant unit comprises the steps of determining a coal distribution scheme, determining a scheduling strategy for operating the unit according to a sequence analysis method, and establishing a multi-constraint considered peak shaving scheduling mathematical model for the thermal power plant unit.
2. The scheme for coal distribution according to the seasonal typical load scale as claimed in claim 1, wherein the coal consumption index of each seasonal typical day is reasonably distributed according to the photovoltaic access capacity, the load scale and the annual coal consumption index issued by the upper level.
3. The method for determining the scheduling strategy of the operational unit according to the sequence analysis method as claimed in claim 1, wherein (i) the thermoelectric units are respectively ordered according to the coal consumption index and the heating quality factor in consideration of the thermoelectric units being responsible for the heating task in winter; and in the heating period, the unit with large heat supply quality factor is selected firstly, and after heat balance is met, the unit with small coal consumption index is selected again until power constraint is met.
4. The method for establishing the thermal power plant unit peak shaving scheduling mathematical model considering multiple constraints as claimed in claim 1, wherein coal carbon quantitative constraint, direct supply load constraint, unit operation constraint, technical constraint and thermoelectric coupling constraint are comprehensively considered, and the established self-contained thermal power plant peak shaving scheduling model aims at maximizing the output of the thermal power plant unit and obtains the maximum power generation economic benefit on the premise of meeting photovoltaic consumption.
Due to the adoption of the technical scheme, the invention has the following advantages:
1. the invention can fully utilize limited coal resources and obtain the maximum power generation benefit by optimizing the output of the self-provided thermal power plant unit of the oil field.
2. According to the method, a typical seasonal unit scheduling strategy is given by considering unit technical constraint, operation constraint, direct supply load constraint, maintenance mechanism constraint, thermoelectric coupling constraint, coal consumption index constraint and the like according to the equivalent load requirement after natural load absorption photovoltaic, and the applicability of the unit peak regulation scheduling method is improved.
Drawings
FIG. 1 shows equivalent load data after photovoltaic load absorption of natural load in a typical day in four seasons.
FIG. 2 is a typical daily unit heat output curve in the initial stage of heating in winter in a thermal power plant.
FIG. 3 is a typical daily unit electricity output curve of the thermal power plant at the initial stage of winter heating.
FIG. 4 is a typical daily coal consumption curve of a thermal power plant during the initial heating period in winter.
Detailed Description
The following detailed description of the embodiments of the present invention, with reference to the drawings, includes the following steps:
1) analysis of oil field load characteristics
1.1) obtaining equivalent electric load by using natural load to absorb photovoltaic output
The oil field load is divided into production load, office and civil load, external supply and civil and enterprise load and commercial load, and the self-contained power plant is usually provided with a part of direct supply load and is provided with certain unit sets for independent power supply. A typical load curve usually has a load peak in a time period of 8h-18h, the photovoltaic capacity is absorbed by the peak value of the natural load, the obtained equivalent load changes the peak load into a valley load, and the load curve has a weak negative photovoltaic fluctuation characteristic. Equivalent load P after photovoltaic absorption in t time periodl′oad.t：
P′load.t＝Pload.t-Ppv.t (1)
In the formula: pload.tSystem load for time period t; ppv.tAnd (4) predicting a force value of the photovoltaic in the t period.
1.2) analysis of thermal load characteristics
The self-contained thermal power plant bears the heat load required by heating in winter in an oil field area, and the heating season is generally divided into a heating initial stage, a heating middle stage and a heating final stage, wherein the heating initial stage is moderate in weather and requires less heating heat; the weather is cold in the middle heating period, and the daily required heating load is increased; in the later stage of heating, the daily heat demand is reduced due to the change of the weather, and the heat load demand in the three stages of the heating period follows the principle of changing from small to large and then small.
2) Determining coal distribution strategies based on coal consumption indicators and seasonal load characteristics
Analyzing the load scale of the four seasons, and distributing the coal consumption of the typical day of the four seasons according to the load of the typical day of the four seasons
Figure BDA0002667701110000031
Comprises the following steps:
Figure BDA0002667701110000032
in the formula:
Figure BDA0002667701110000033
a coal amount indicator representing a typical day of the s-th season; ccoalThe total energy coal consumption index of the upper level issuing the year is represented; t issRepresents the total number of days of season s;
Figure BDA0002667701110000034
and (3) representing the load at the time t of a typical day of the s-th season, wherein the load of the heating season is the sum of the electric load and the heat load.
3) Unit operation combination set for establishing typical scene
The maintenance mechanism of the thermal power generating units is that each unit needs to be overhauled once in four years, needs to be overhauled once in one year and needs to be temporarily overhauled once in one year, is called as 'overhauled once in one year, overhauled once in one year and repair once in one year', direct supply load, summer power consumption peak and winter heating are generally considered, maintenance is arranged in spring and autumn, the capacity of each unit is considered to be possibly different, and a period and unit combination set of a typical scene is formed.
4) Determining a scheduling policy for a unit based on ordinal analysis
In spring, autumn and summer, the number of the combined units is increased according to the starting number of the power supply sequence, in winter, the number of the combined units is increased according to the starting number of the heat supply sequence to meet the heat balance requirement, and then the combined units are optimized according to the power supply sequence.
4.1) making a power generation scheduling sequence of the unit
Analyzing the operation condition data of all the units of the condensed gas generating sets, and calculating the coal consumption characteristic index of each unit.
bi＝Fi/Pi (3)
The power generation scheduling ordinal numbers of the n units are arranged from low to high according to the unit power generation coal consumption and are sequentially marked as the 1 st ordinal number, the 2 nd ordinal number, the … … th ordinal number and the nth ordinal number.
4.2) setting heat supply scheduling sequence of the unit
Heat supply quality factor of unit i
Figure BDA0002667701110000035
And boiler thermal efficiency etagiGenerating capacity alpha for reducing unit heat supply of sum unit iiThe qualitative relationship between them is as follows:
Figure BDA0002667701110000036
according to heat supply quality factor
Figure BDA0002667701110000037
The heating scheduling sequence positions of the n units are arranged from big to small and are sequentially marked as the 1 st sequence position, the 2 nd sequence position, the … … th sequence position and the n th sequence position.
And (3) preferentially supplying heat by the unit in the 1 st order according to the heat supply tasks required to be undertaken by the thermal power plant, after the maximum heat supply working condition is reached, undertaking the rest heat supply tasks by the unit in the 2 nd order, and repeating the steps until the heat supply balance is met.
4.3) optimizing the unit combination under the typical scene according to the sequence analysis result
And according to the peak-valley load of the equivalent load and the sequence of the unit sequencing, analyzing the relationship between the upper and lower limits of the unit output and the peak-valley load of the daily load in the unit combination of the typical scene in a centralized manner, and determining m unit combinations.
Figure BDA0002667701110000041
In the formula:
Figure BDA0002667701110000042
representing the upper limit value of the output of the ith unit; p0Representing the plant power consumption of the thermal power plant;
Figure BDA0002667701110000043
and (4) representing the lower limit value of the output of the ith unit.
5) Thermal power plant unit peak regulation scheduling mathematical model considering multiple constraints
The thermal power plant unit peak regulation scheduling mathematical model comprises an objective function and a constraint condition.
5.1) under the limited coal index, taking multiple constraints into account and maximizing the output of a thermal power plant generator set as an objective function:
Figure BDA0002667701110000044
and 5.2) the constraints of the peak shaving scheduling of the unit comprise the upper and lower output limits and the climbing constraints of the unit, the coal consumption constraints, the direct supply load constraints, the thermoelectric coupling constraints, the electric power balance and the thermal power balance.
The upper and lower limits of the unit output and the climbing restraint are as follows:
Figure BDA0002667701110000045
in the formula:
Figure BDA0002667701110000046
iPrespectively representing the upper limit and the lower limit of the unit i output;
Figure BDA0002667701110000047
representing the up and down ramp power of unit i, respectively.
Direct supply load restraint:
Figure BDA0002667701110000048
in the formula:
Figure BDA0002667701110000049
the output upper limit of the unit with the direct power supply load is represented; pdir.loadRepresenting the direct supply load of the oil field self-contained thermal power plant; k represents the number of the units with the direct power supply load, and k belongs to m.
Coal consumption constraint:
Figure BDA00026677011100000410
in the formula:
Figure BDA00026677011100000411
representing an indicator of coal consumption on a typical day.
Thermoelectric coupling constraint:
firstly, restraining the upper limit and the lower limit of the thermal output of the unit:
Figure BDA0002667701110000051
secondly, considering boiler output, minimum low-pressure cylinder flow and thermoelectric coupling unit electrical output upper and lower limit constraints under the heat supply working condition:
Figure BDA0002667701110000052
electric power balance constraint: the output of the unit of the thermal power plant is equal to or more than the equivalent load, and the surplus generated energy can be put on the network, so that the economic benefit of the thermal power plant is improved.
Figure BDA0002667701110000053
And thermal power balance constraint:
Figure BDA0002667701110000054
in the formula: di.hotProviding heat corresponding extraction flow rate t/h for unit i; k is a radical of0、khot、knRespectively is an air inlet enthalpy value, an extraction steam enthalpy value and a condensed water enthalpy value, kJ/kg; piThe electric output of the unit i in the period t is kW; h isi,tThe thermal output of the unit i in the time period t is kJ;
Figure BDA0002667701110000055
the upper limit of the thermal output of the unit i is kJ; iP、
Figure BDA0002667701110000056
are respectively asThe lower limit and the upper limit of the pure condensing output of the unit i are kW; i.d.tPthe lower limit of the generating power, kW, of the unit i is constrained by the minimum flow of the low-pressure cylinder in the period t;
Figure BDA0002667701110000057
i,r,tPthe upper and lower limits of the electric output, kW, of the unit i affected by the boiler output in the time period t are respectively set; alpha is alphai、βiThe power generation amount influenced by the unit heat production amount of the unit i and the power generation amount accompanied by the unit heat production amount are kW/kJ respectively; de.i.0The rated steam inlet flow of the unit i is t/h; di,dThe minimum flow of a low-pressure cylinder of a unit i is t/h;
Figure BDA0002667701110000058
i,e,tPrespectively representing the upper limit and the lower limit of the electric output of the unit i in the time period t; h isplant,tAnd the heating load of the thermal power plant is kJ in the time period of t.
To sum up, taking an oil field self-contained thermal power plant with 2 220MW and 2 300MW units as an example, the method consumes 80MW photovoltaic capacity, the annual coal consumption index is 216 ten thousand tons, the natural load of a four-season typical day is shown in fig. 1, the peak regulation scheduling is performed on a typical day at the initial stage of heating in winter by applying the method of the present invention, the scheduling schemes of the units are shown in fig. 2 to fig. 4, and the economic indexes of the scheduling schemes are compared with the classical scheduling scheme, as shown in table 1, so as to verify the effectiveness of the scheduling scheme.
TABLE 1 comparison of economic indicators for different scheduling schemes of typical thermal power plants in the early stage of winter heating
Figure BDA0002667701110000061
The above embodiments are only for illustrating the present invention, and the steps may be changed, and on the basis of the technical solution of the present invention, the modification and equivalent changes of the individual steps according to the principle of the present invention should not be excluded from the protection scope of the present invention.

Claims (4)

1. A multi-constraint considered peak shaving scheduling method for an oil field self-contained thermal power plant unit comprises three parts of determining to make a coal distribution scheme according to a seasonal typical daily load scale, determining a scheduling strategy of the unit according to a sequence analysis method and establishing a multi-constraint considered peak shaving scheduling mathematical model of the thermal power plant unit.
2. The method for determining the coal distribution plan according to the seasonal typical load scale as claimed in claim 1, wherein the coal consumption index of each seasonal typical day is reasonably distributed according to the photovoltaic access capacity, the load scale and the annual coal consumption index issued by an upper level, and the method comprises the following steps:
s1: the peak value of the natural load is used for absorbing the photovoltaic capacity;
the oil field load is divided into production load, office and civil load, external supply and civil and enterprise load and commercial load, and the self-contained power plant is usually provided with a part of direct supply load and is independently supplied with power by some units. A typical load curve usually has a load peak in a time period of 8h-18h, the photovoltaic capacity is absorbed by the peak value of the natural load, the obtained equivalent load changes the peak load into a valley load, and the load curve has a weak negative photovoltaic fluctuation characteristic. Equivalent load after photovoltaic absorption in t period is P'load.t：
P′load.t＝Pload.t-Ppv.t (1)
In the formula: pload.tSystem load for time period t; ppv.tPredicting a force value for the photovoltaic in the t period;
s2: analyzing the scale of the four-season load, and distributing the coal consumption of the four-season typical day according to the load of the four-season typical day
Figure FDA0002667701100000011
Comprises the following steps:
Figure FDA0002667701100000012
in the formula:
Figure FDA0002667701100000013
a coal amount indicator representing a typical day of the s-th season; ccoalThe total energy coal consumption index of the upper level issuing the year is represented; t issRepresents the total number of days of season s;
Figure FDA0002667701100000014
and (3) representing the load at the time t of a typical day of the s-th season, wherein the load of the heating season is the sum of the electric load and the heat load.
3. The method for determining the scheduling strategy of the operational unit according to the sequence analysis method as claimed in claim 1, wherein (i) the thermoelectric units are respectively ordered according to the coal consumption index and the heating quality factor in consideration of the thermoelectric units being responsible for the heating task in winter; in the heating period, a unit with a large heat supply quality factor is selected firstly, and after heat balance is met, a unit with a small coal consumption index is selected secondly, and the method comprises the following steps:
s1: establishing a power generation scheduling sequence of the unit;
analyzing the operation condition data of all the units of the condensed gas generating sets, and calculating the coal consumption characteristic index of each unit.
bi＝Fi/Pi (3)
The power generation scheduling ranks of the n units are arranged from low to high in unit power generation coal consumption and are sequentially marked as the 1 st, the 2 nd, … … | nth ranks.
S2: establishing a heat supply scheduling sequence of the unit;
heat supply quality factor of unit i
Figure FDA0002667701100000015
And boiler thermal efficiency etagiGenerating capacity alpha for reducing unit heat supply of sum unit iiThe qualitative relationship between them is as follows:
Figure FDA0002667701100000021
according to heat supply quality factor
Figure FDA0002667701100000022
The heating scheduling sequence positions of the n units are arranged from big to small and are sequentially marked as the 1 st sequence position, the 2 nd sequence position and the … … | nth sequence position.
S3: according to the maintenance mechanism of the thermoelectric unit, namely 'major repair for one year, minor repair for one year and temporary repair for one year', direct supply load, peak power consumption in summer, heating in winter and the possibility that the capacity of each unit is different are generally considered, and a unit combination set with a typical scene is formed;
s4: optimizing the unit combination under a typical scene according to the sequence analysis result;
in a typical scene, the unit combination is centralized, the units are combined according to the number of the started units of the power supply sequence in spring, autumn and summer, the units are combined according to the number of the started units of the power supply sequence in winter in the heating period to meet the heat balance requirement, then the units are optimized and combined according to the power supply sequence, the relationship between the upper and lower limits of the unit output and the peak-valley load of the daily load is analyzed, and the operation combination of m units is determined.
Figure FDA0002667701100000023
In the formula:
Figure FDA0002667701100000024
representing the upper limit value of the output of the ith unit; p0Representing the plant power consumption of the thermal power plant;
Figure FDA0002667701100000025
and (4) representing the lower limit value of the output of the ith unit.
4. The method for establishing the thermal power plant unit peak shaving scheduling mathematical model considering multiple constraints according to claim 1, wherein the coal-carbon quantitative constraint, the direct supply load constraint, the unit operation constraint, the technical constraint and the thermoelectric coupling constraint are comprehensively considered, the self-contained thermal power plant peak shaving scheduling model is established with the aim of maximizing the output of the thermal power plant unit, and the maximum power generation economic benefit is obtained on the premise of meeting the photovoltaic consumption, and the method comprises the following steps:
s1: establishing an objective function according to the maximum output of the power generating set of the thermal power plant:
Figure FDA0002667701100000026
s2: establishing upper and lower output limits and climbing constraints of the unit, coal consumption constraints, direct supply load constraints, thermoelectric coupling constraints, electric power balance and thermal power leveling constraints;
the upper and lower limits of the unit output and the climbing restraint are as follows:
Figure FDA0002667701100000027
in the formula:
Figure FDA0002667701100000028
iPrespectively representing the upper limit and the lower limit of the unit i output; pi r、Pi dRepresenting the up and down ramp power of unit i, respectively.
Direct supply load restraint:
Figure FDA0002667701100000029
in the formula:
Figure FDA0002667701100000031
the output upper limit of the unit with the direct power supply load is represented; pdir.loadRepresenting the direct supply load of the oil field self-contained thermal power plant; k represents the number of the units with the direct power supply load, and k belongs to m.
Coal consumption constraint:
Figure FDA0002667701100000032
in the formula:
Figure FDA0002667701100000033
representing an indicator of coal consumption on a typical day.
Thermoelectric coupling constraint:
firstly, restraining the upper limit and the lower limit of the thermal output of the unit:
Figure FDA0002667701100000034
secondly, considering boiler output, minimum low-pressure cylinder flow and thermoelectric coupling unit electrical output upper and lower limit constraints under the heat supply working condition:
Figure FDA0002667701100000035
electric power balance constraint: the output of the unit of the thermal power plant is equal to or more than the equivalent load, and the surplus generated energy can be put on the network, so that the economic benefit of the thermal power plant is improved.
Figure FDA0002667701100000036
And thermal power balance constraint:
Figure FDA0002667701100000037
in the formula: di.hotProviding heat corresponding extraction flow rate t/h for unit i; k is a radical of0、khot、knRespectively is an air inlet enthalpy value, an extraction steam enthalpy value and a condensed water enthalpy value, kJ/kg; piThe electric output of the unit i in the period t is kW; h isi,tThe thermal output of the unit i in the time period t is kJ;
Figure FDA0002667701100000038
the upper limit of the thermal output of the unit i is kJ; iP、
Figure FDA0002667701100000039
the lower limit and the upper limit of the pure condensing output of the unit i are kW respectively; i.d.tPthe lower limit of the generating power, kW, of the unit i is constrained by the minimum flow of the low-pressure cylinder in the period t;
Figure FDA00026677011000000310
i,r,tPthe upper and lower limits of the electric output, kW, of the unit i affected by the boiler output in the time period t are respectively set; alpha is alphai、βiThe power generation amount influenced by the unit heat production amount of the unit i and the power generation amount accompanied by the unit heat production amount are kW/kJ respectively; de.i.0The rated steam inlet flow of the unit i is t/h; di,dThe minimum flow of a low-pressure cylinder of a unit i is t/h;
Figure FDA00026677011000000311
i,e,tPrespectively representing the upper limit and the lower limit of the electric output of the unit i in the time period t; h isplant,tAnd the heating load of the thermal power plant is kJ in the time period of t.
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