CN112398169A - Heat-storage-containing CHP and thermal power deep regulation combined optimization peak regulation method considering user side response - Google Patents

Heat-storage-containing CHP and thermal power deep regulation combined optimization peak regulation method considering user side response Download PDF

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CN112398169A
CN112398169A CN202011248658.6A CN202011248658A CN112398169A CN 112398169 A CN112398169 A CN 112398169A CN 202011248658 A CN202011248658 A CN 202011248658A CN 112398169 A CN112398169 A CN 112398169A
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power
unit
thermal power
heat
chp
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CN112398169B (en
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任景
周鑫
薛晨
牛拴保
马晓伟
张小东
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Northwest Branch Of State Grid Power Grid Co
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Abstract

The invention relates to the technical field of power system automation, and aims to provide a combined optimization peak regulation method for CHP (heat-storage-containing) and thermal power deep regulation considering user-side response, by optimizing the electric load, the time-of-use electricity price and the charging and discharging power of the heat storage device, the total scheduling cost (comprising the operation cost of a thermal power generating unit, the operation cost of a CHP unit, the wind power operation and maintenance cost and the wind abandoning punishment cost) of the system is minimized, the peak shaving economy is guaranteed, meanwhile, the abandoned wind volume is reduced, the new energy consumption is promoted, the heat storage device is configured in the thermal system at the source side, the 'electricity utilization by heat' is broken through, the electrical heating characteristic curve of a CHP unit is improved, heat is stored at the wind power heavy-rise time, heat is released during the heat peak period of a user, the problem of abandoned wind caused by uncertain fluctuation of wind power is effectively relieved, the electricity consumption expenditure conditions before and after user response are considered, and the user response satisfaction degree parameter is introduced to realize the economic regulation and control of the peak shaving resources at the user side.

Description

Heat-storage-containing CHP and thermal power deep regulation combined optimization peak regulation method considering user side response
Technical Field
The invention relates to the technical field of power system automation, in particular to a heat storage CHP and thermal power deep regulation combined optimization peak regulation method considering user side response.
Background
Because clean energy such as wind power and the like has strong environmental protection, low-carbon economy is realized, the energy structure is optimized, and the installed capacity of the energy structure is greatly increased in recent years. With the permeability of wind power in an electric power system being higher and higher, the defects of the wind power are continuously shown, and the random and violent fluctuation of wind power generation caused by the characteristics of actual wind speed such as instability, unpredictability and the like brings huge challenges to power generation planning, dispatching and the like of a power grid. Because the wind power output has uncertainty, the phenomenon that the power supply quantity in the system is larger than the load demand quantity often occurs in the period of wind power large generation, so that a large amount of abandoned wind is generated, namely the inverse peak regulation characteristic of the wind power. With the continuous increase of power consumption, the load side peak-to-valley difference of a power grid is increased day by day, and in addition, the uncertainty and the anti-peak regulation characteristic of the power generation of the source side clean energy are added, the existing regulation resources of the power system are difficult to meet the peak regulation requirement, the system scheduling burden is heavier and heavier, and the large-scale clean energy consumption space is obviously insufficient.
In the heating period in winter, a Combined Heat and Power (CHP) unit operates in a mode of 'fixing power by heat', in order to meet the heat load demand, a long-time high-intensity output of thermal resources is usually required, and a wind turbine unit is uncertain, and often needs to be operated by abandoning wind to maintain the stability of a power grid. The heat storage device is additionally arranged in the CHP system, the flexible storage capacity of heat energy by heat storage can be utilized, the traditional working mode of 'fixing power by heat' is broken, and when the heat supply of the system is greater than the heat load demand in a wind power high-power generation time period, the heat storage device can be utilized to store redundant heat energy, so that the generation of abandoned wind is reduced. At present, domestic and overseas research focuses on optimization of a combined operation mode of a wind power plant and a CHP power plant with a heat storage device, wind power online income and penalty cost are coordinated by using a single heat storage device, and the capacity requirement of the heat storage device is high. Under the background that the thermal power generation proportion of the current power system is high, if the flexible operation capacity of the thermal power generating unit can be fully and effectively excavated, the peak regulation capacity of the power system can be greatly improved. The thermal power unit deep peak shaving is one of the most practical and effective methods for improving the new energy consumption capability at present as the most successful thermal power flexibility improvement technical practice.
In addition to mining flexible peak shaving resources on the source side, demand-side response is also a large research hotspot for promoting new energy consumption. The power utilization behavior of the power consumers is guided through dynamic time-of-use electricity prices, the incentive electricity prices of the users participating in peak shaving auxiliary services are properly formulated, the load originally in the peak electricity utilization period is transferred to the load valley period, the load electricity consumption in the valley period is obviously improved through demand response, the load curve is effectively changed, the negative influence of the wind electricity inverse peak shaving characteristic on the wind electricity consumption of the system is reduced, and the peak shaving pressure of a power grid is reduced on the basis of not damaging the electricity utilization benefit of the users.
The proportion of access of clean energy such as wind power and the like to a power grid is continuously increased, the peak regulation pressure of a system is continuously increased, and a large amount of wind abandon phenomena exist, so that the problems that the research for improving the wind power consumption by comprehensively considering heat storage, thermal power deep peak regulation and demand response coordinated scheduling at the present stage is less, and the flexible peak regulation resource excavation at the source side and the load side is insufficient are solved.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a CHP (heat storage and power) and thermal power deep regulation combined optimization peak regulation method considering user side response. Aiming at the problem of model solution, the method converts the model into a mixed integer programming problem.
The purpose of the invention is realized by the following technical scheme: the peak regulation method of the combined optimization of the CHP containing heat accumulation and thermal power deep regulation considering user side response comprises the following steps:
step 1: establishing a heat storage model according to the heat storage device, wherein when the heat storage amount of the heat storage device at the time t is Chs,tIf the model of heat accumulation is,
Chs,t＝(1-σ)Chs,t-1+Phs,t
where σ is the self-heat-release rate of the heat storage device, i.e., the rate of heat loss per unit time of the heat storage device, Phs,tFor the heat-storage device to be charged and discharged at time t, Phs,t<0 denotes that the heat storage device is releasing heat, Phs,t>0 indicates that the heat storage device is in a heat storage state, the amount of heat stored in the heat storage device should satisfy the following constraint,
Figure BDA0002770871720000021
Figure BDA0002770871720000022
wherein the content of the first and second substances,
Figure BDA0002770871720000023
and
Figure BDA0002770871720000024
respectively representing the minimum and maximum heat storage capacities allowed by the heat storage device,
Figure BDA0002770871720000025
and
Figure BDA0002770871720000026
respectively represents the minimum and maximum heat storage power allowed by the heat storage device when
Figure BDA0002770871720000031
And
Figure BDA0002770871720000032
when the value is negative, the minimum and maximum heat release power is represented, and step 2 is executed;
step 2: establishing a thermal power deep-adjusting model according to the thermal power generating unit to obtain thermal power deep-adjusting cost,
Cg_deep＝Cg+aCl+bCo
Figure BDA0002770871720000033
Figure BDA0002770871720000034
Figure BDA0002770871720000035
in the formula, CoFor oil injection costs, a and b are Boolean variables, poOil charge price, O, for peak shaving power per unit depth of thermal power generating unitg,i,tThe integral electric quantity of the ith thermal power generating unit is obtained, wherein the deep-regulation actual power of the ith thermal power generating unit in the t period is lower than the steady combustion load value of the deep-regulation without oil injection;
Figure BDA0002770871720000036
the stable combustion load power is adjusted for the ith unit without throwing oil and deeply,
Figure BDA0002770871720000037
the stable combustion load power is adjusted for the oil injection depth of the ith unit,
Figure BDA0002770871720000038
is the minimum technical output of the ith thermal power generating unit,
Figure BDA0002770871720000039
maximum technical output, C, of the ith thermal power generating unitlRepresenting the economic cost of life loss required by the unit to participate in deep peak regulation, T representing a dispatching period, IgRepresenting the number of the thermal power generating units, and executing a step 3;
and step 3: a user response model is constructed, as described in detail below,
Figure BDA00027708717200000310
Figure BDA0002770871720000041
Figure BDA0002770871720000042
Figure BDA0002770871720000043
Figure BDA00027708717200000413
Figure BDA0002770871720000044
Figure BDA0002770871720000045
in the formula, Sdr,nFor the nth user satisfaction participating in the demand response, δn,tLoad at time tn demand response decision variable, δn,tWhen 1, it indicates that the load has responded and the transfer power is Δ Pload,n,tThe positive value indicates that the user increases the power consumption, the negative value indicates that the power consumption is reduced,
Figure BDA0002770871720000046
in order to optimize the time-of-use electricity price,
Figure BDA0002770871720000047
for electricity prices before optimization, Pload,n,tFor the load power after the demand response,
Figure BDA0002770871720000048
in order to optimize the load power, the total electricity consumption of the users in a scheduling period is kept unchanged,
Figure BDA0002770871720000049
the minimum value of the peak shaving satisfaction responded by the user in one scheduling period,
Figure BDA00027708717200000410
and
Figure BDA00027708717200000411
respectively representing the minimum and maximum load transfer power allowed by the nth user, tnpThe load controllable period of time, p, allowed for the nth userRminAnd ρRmaxRespectively, the minimum and maximum time-of-use price, Delta rhoRminAnd Δ ρRmaxRespectively executing step 4 for the minimum value and the maximum value of the response quantity allowed by the time-of-use electricity price;
and 4, step 4: the method comprises the steps of calculating the total scheduling cost by taking the electric load, the time-of-use electricity price and the heat charging and discharging power of the heat storage device as optimization variables and minimizing the total scheduling cost of the system as an optimization target, wherein the total scheduling cost is calculated as
min Cs＝Cg_deep+Ch+Cw+Cw_curt
Figure BDA00027708717200000412
Pceh,i,t＝Pce,i,t+ξPch,i,t
Figure BDA0002770871720000051
Figure BDA0002770871720000052
In the formula, Cg_deepThe operation cost of the thermal power generating unit comprises the operation cost of a conventional unit and the deep peak regulation cost of the thermal power generating unit; chFor the operating costs of the CHP units, CwFor the wind power operation and maintenance cost, Cw_curtPenalising costs for wind abandonment, αi、βi、γiIs the coal consumption coefficient of CHP unit, Pce,i,tAnd Pch,i,tElectric power and thermal power values P of the ith CHP unit in the t periodceh,i,tThe reduced power generation power of the ith CHP unit at the time t, ξ represents the reduced electric power value of the CHP unit when the unit thermal power is increased, θ is the wind power operation and maintenance cost coefficient, P is the power generation output power of the ith CHP unit, andw_r,tthe actual output power of the wind power at the time t, mu is a wind abandon punishment cost coefficient, Pw_f,tAnd predicting the power for the wind power at the time t.
Preferably, in the step 2, the life loss cost C of the unitlIs composed of
Figure BDA0002770871720000053
Figure BDA0002770871720000054
Wherein, γg,i,tFor the state of the ith thermal power generating unit participating in deep regulation at the moment t, gammag,i,t1 indicates that the unit participates in deep peak regulation, gammag,i,t0 means that the unit does not participate in the deep adjustment；ClRepresenting economic cost of life loss, Y, required for the unit to participate in deep peak shavinggPrice of the unit, NgRepresenting the cracking cycle, for fatigue loss of the metal material, EgDenotes the modulus of elasticity, σ, of the metallic materialaAnd σωRespectively representing the stress at the calculated point of the material and the material fatigue strength limit,
Figure BDA0002770871720000056
the reduction of area of the material is shown.
Preferably, in the step 2, the linear constraint after the equivalent transformation is
Figure BDA0002770871720000055
In the formula, c1And c2Is any constant greater than 0, a and b are Boolean variables having values of 0 or 1, Sg,i,tIs a variable from 0 to 1.
Preferably, the step 4 further includes an electric power balance constraint, a thermal power unit maximum and minimum output constraint and a CHP unit maximum and minimum output constraint, specifically as follows,
the balance of the electric power is constrained by the constraints,
Figure BDA0002770871720000061
in the formula, Pce,i,tFor the electric power of the ith CHP unit in the t period,
the heat power is in balance constraint,
Figure BDA0002770871720000062
in the formula, Pch,i,tFor the thermal power of the ith CHP unit in the t period,
Figure BDA0002770871720000063
for the demand of the thermal load at the moment t, the output of the conventional thermal power unit meets the following constraint,
Figure BDA0002770871720000064
the output of the conventional thermal power generating unit meets the following constraint,
Figure BDA0002770871720000065
the output of the thermal power depth peak shaving unit meets the following constraint,
Figure BDA0002770871720000066
the output of the CHP unit is required to meet,
Figure BDA0002770871720000067
in the formula (I), the compound is shown in the specification,
Figure BDA0002770871720000068
and
Figure BDA0002770871720000069
respectively the minimum electric power and the maximum electric power of the ith CHP unit,
Figure BDA00027708717200000610
and
Figure BDA00027708717200000611
respectively the minimum and maximum thermal power of the ith CHP unit.
Preferably, the method also comprises rotation standby constraint, start-stop constraint and unit climbing constraint, and specifically comprises the steps of rotating standby constraint,
Figure BDA0002770871720000071
in the formula (I), the compound is shown in the specification,
Figure BDA0002770871720000072
and Rdown,tThe upper and lower climbing limit values of the thermal power generating unit are respectively set;
when the operation state of the thermal power generating unit at the moment t is different from the operation state of the thermal power generating unit at the adjacent moment, the output force of the thermal power generating unit is equal to the minimum output force value so as to ensure the safe and stable operation of the thermal power generating unit, the start-stop constraint is as follows,
Figure BDA0002770871720000073
the unit climbing is restricted as
Figure BDA0002770871720000074
Figure BDA0002770871720000075
And
Figure BDA0002770871720000076
respectively the upper and lower climbing limit values of the thermal power generating unit,
Figure BDA0002770871720000077
and
Figure BDA0002770871720000078
the upper and lower climbing limit values of the CHP unit are respectively.
The invention has the beneficial effects that:
(1) the heat storage device breaks the 'fixing power by heat' tradition at the source side, improves the electrical heating characteristic curve of the CHP unit, and simultaneously improves the power regulation capacity and the regulation flexibility through deep peak regulation of the thermal power unit;
(2) the charge side coordinates the electricity utilization behavior of the user through a demand response model based on peak shaving excitation electricity price and time-of-use electricity price, and reduces the peak-valley difference of the power grid;
(3) the source-load side combined optimization peak regulation method aims at minimizing the total scheduling cost of the system, comprehensively considers heat storage constraint, service life loss cost of a thermal power generating unit, user response satisfaction degree constraint and the like, optimizes the peak regulation effect of the system while reducing the scheduling operation cost of the system to the maximum extent, reduces wind power waste air volume, and further promotes large-scale wind power friendly grid connection.
Drawings
Fig. 1 is a schematic diagram of the peak shaving method jointly optimized by heat-storage-containing CHP and thermal power deep regulation considering user-side response.
Detailed Description
The technical solutions in the embodiments of the present invention are clearly and completely described below with reference to fig. 1 of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present invention without any inventive work fall within the scope of the present invention.
In the description of the present invention, it is to be understood that the terms "counterclockwise", "clockwise", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate orientations or positional relationships based on those shown in the drawings, and are used for convenience of description only, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be considered as limiting.
As shown in fig. 1, a peak regulation method for combined optimization of CHP containing heat storage and thermal power deep regulation considering user-side response is studied in the existing literature on the basis of considering demand response on a combined peak regulation scheduling method for a wind farm and a conventional thermal power generating unit, and the method is proved to be capable of effectively improving the operating economy of the system and reducing the phenomenon of wind abandonment, and comprises the following steps:
step 1: establishing a heat storage model according to the heat storage device whenThe heat storage amount of the heat storage device at time t is Chs,tIf the model of heat accumulation is,
Chs,t＝(1-σ)Chs,t-1+Phs,t
where σ is the self-heat-release rate of the heat storage device, i.e., the rate of heat loss per unit time of the heat storage device, Phs,tFor the heat-storage device to be charged and discharged at time t, Phs,t<0 denotes that the heat storage device is releasing heat, Phs,t>0 indicates that the heat storage device is in a heat storage state, the amount of heat stored in the heat storage device should satisfy the following constraint,
Figure BDA0002770871720000081
Figure BDA0002770871720000082
wherein the content of the first and second substances,
Figure BDA0002770871720000083
and
Figure BDA0002770871720000084
respectively representing the minimum and maximum heat storage capacities allowed by the heat storage device,
Figure BDA0002770871720000085
and
Figure BDA0002770871720000086
respectively represents the minimum and maximum heat storage power allowed by the heat storage device when
Figure BDA0002770871720000087
And
Figure BDA0002770871720000088
when the value is negative, the minimum and maximum heat release power is represented, and step 2 is executed;
step 2: establishing a thermal power deep-adjusting model according to a thermal power generating unit to obtain thermal power deep-adjusting cost, wherein the thermal power generating unit deep-adjusting cost can be divided into an oil-throwing-free deep-adjusting stage and an oil-throwing-deep-adjusting stage according to different depths, the deep-adjusting cost comprises start-stop cost, coal consumption cost and service life loss cost in the oil-throwing deep-adjusting stage, the cost comprises coal consumption, start-stop cost, service life loss cost and oil-throwing cost, the thermal power deep-adjusting cost (including conventional unit peak-adjusting cost) is,
Cg_deep＝Cg+aCl+bCo
Figure BDA0002770871720000091
Figure BDA0002770871720000092
Figure BDA0002770871720000093
in the formula, CoFor oil injection costs, a and b are Boolean variables, poOil charge price, O, for peak shaving power per unit depth of thermal power generating unitg,i,tThe integral electric quantity of the ith thermal power generating unit is obtained, wherein the deep-regulation actual power of the ith thermal power generating unit in the t period is lower than the steady combustion load value of the deep-regulation without oil injection;
Figure BDA0002770871720000094
the stable combustion load power is adjusted for the ith unit without throwing oil and deeply,
Figure BDA0002770871720000095
the stable combustion load power is adjusted for the oil injection depth of the ith unit,
Figure BDA0002770871720000096
is the minimum technical output of the ith thermal power generating unit,
Figure BDA0002770871720000097
maximum of ith thermal power generating unitTechnical contribution, ClRepresenting the economic cost of life loss required by the unit to participate in deep peak regulation, T representing a dispatching period, IgRepresenting the number of the thermal power generating units, and executing a step 3;
and step 3: building a user response model, the user side response can be generally divided into three modes: load shifting, interruptible load and increasable load regulation are possible, and since peak regulation optimal scheduling for improving wind power consumption is mainly researched, interruptible load peak regulation is not considered. The increasable load can obtain corresponding peak regulation incentive rewards, but also can increase the electricity utilization cost at the same time, has little benefit, is not considered, and the user response model participating in the combined peak regulation only considers the transferable load. The electricity consumption expenditure conditions before and after the user response are considered, and a user response satisfaction parameter S is introduceddr,nThe user response model is constructed, as detailed below,
Figure BDA0002770871720000101
Figure BDA0002770871720000102
the user as the power consumer should meet certain satisfaction degree constraint to ensure the power consumption quality when participating in peak shaving service,
Figure BDA0002770871720000103
the regulatory capacity and the regulatory time period for transferable loads should satisfy the following constraints,
Figure BDA0002770871720000104
Figure BDA00027708717200001013
the time-of-use electricity price should satisfy the following constraints before and after optimization:
ρRmin≤ρt R≤ρRmax
Figure BDA0002770871720000105
in the formula, Sdr,nFor the nth user satisfaction participating in the demand response, δn,tA demand response decision variable, δ, for a load n at time tn,tWhen 1, it indicates that the load has responded and the transfer power is Δ Pload,n,tThe positive value indicates that the user increases the power consumption, the negative value indicates that the power consumption is reduced,
Figure BDA0002770871720000106
in order to optimize the time-of-use electricity price,
Figure BDA0002770871720000107
for electricity prices before optimization, Pload,n,tFor the load power after the demand response,
Figure BDA0002770871720000108
in order to optimize the load power, the total electricity consumption of the users in a scheduling period is kept unchanged,
Figure BDA0002770871720000109
Figure BDA00027708717200001010
the minimum value of the peak shaving satisfaction responded by the user in one scheduling period,
Figure BDA00027708717200001011
and
Figure BDA00027708717200001012
respectively representing the minimum and maximum load transfer power allowed by the nth user, tnpThe load controllable period of time, p, allowed for the nth userRminAnd ρRmaxRespectively, the minimum and maximum time-of-use price, Delta rhoRminAnd Δ ρRmaxRespectively executing step 4 for the minimum value and the maximum value of the response quantity allowed by the time-of-use electricity price;
and 4, step 4: the method comprises the steps of taking an electric load, time-of-use electricity price and heat charging and discharging power of a heat storage device as optimization variables, minimizing the total scheduling cost of a system as an optimization target, calculating the total scheduling cost, considering user response, CHP containing the heat storage device and heat power deep peak regulation multi-main-body combined optimization to perform peak regulation scheduling, taking the optimization variables of the electric load, the time-of-use electricity price and the heat charging and discharging power of the heat storage device as optimization targets, minimizing the total scheduling cost of the system, wherein the total scheduling cost comprises the operation cost of a heat power generating unit, the operation cost of the CHP unit, the operation and maintenance cost of wind power and the penalty cost
min Cs＝Cg_deep+Ch+Cw+Cw_curt
To maintain a steady supply of heat, CHP units are generally not allowed to shut down, so the start-up and shut-down costs are not considered, and the operating costs can be expressed as
Figure BDA0002770871720000111
Pceh,i,t＝Pce,i,t+ξPch,i,t
Figure BDA0002770871720000112
Figure BDA0002770871720000113
In the formula, Cg_deepThe operation cost of the thermal power generating unit comprises the operation cost of a conventional unit and the deep peak regulation cost of the thermal power generating unit;Chfor the operating costs of the CHP units, CwFor the wind power operation and maintenance cost, Cw_curtPenalising costs for wind abandonment, αi、βi、γiIs the coal consumption coefficient of CHP unit, Pce,i,tAnd Pch,i,tElectric power and thermal power values P of the ith CHP unit in the t periodceh,i,tThe reduced power generation power of the ith CHP unit at the time t, ξ represents the reduced electric power value of the CHP unit when the unit thermal power is increased, θ is the wind power operation and maintenance cost coefficient, P is the power generation output power of the ith CHP unit, andw_r,tthe actual output power of the wind power at the time t, mu is a wind abandon punishment cost coefficient, Pw_f,tAnd predicting the power for the wind power at the time t.
It should be noted that, in step 2, when the thermal power generating unit participates in deep peak shaving, the peak shaving cost is affected by the peak shaving depth, and the larger the peak shaving depth is, the larger the unit life loss is, so when the thermal power participates in the deep peak shaving scene, in addition to the coal consumption cost, the life loss cost brought by the deep peak shaving and the life loss cost C of the unit should be consideredlIs composed of
Figure BDA0002770871720000121
Figure BDA0002770871720000122
Wherein, γg,i,tFor the state of the ith thermal power generating unit participating in deep regulation at the moment t, gammag,i,t1 indicates that the unit participates in deep peak regulation, gammag,i,t0 means that the unit does not participate in deep adjustment; clRepresenting economic cost of life loss, Y, required for the unit to participate in deep peak shavinggPrice of the unit, NgRepresenting the cracking cycle, for fatigue loss of the metal material, EgDenotes the modulus of elasticity, σ, of the metallic materialaAnd σωRespectively representing the stress at the calculated point of the material and the material fatigue strength limit,
Figure BDA0002770871720000126
the reduction of area of the material is shown.
It should be noted that, in the step 2, the linear constraint after performing the equivalent transformation is as follows
Figure BDA0002770871720000123
In the formula, c1And c2Is any constant greater than 0, a and b are Boolean variables having values of 0 or 1, Sg,i,tIs a variable from 0 to 1.
It should be noted that, in the step 4, an electric power balance constraint, a thermal power generating unit maximum and minimum output constraint, and a CHP unit maximum and minimum output constraint are further included, specifically as follows,
the electrical power balance constraint (disregarding network losses),
Figure BDA0002770871720000124
in the formula, Pce,i,tFor the electric power of the ith CHP unit in the t period,
the thermal power balance is restricted, the heat energy loss of the heat storage device in the transmission process is neglected,
Figure BDA0002770871720000125
in the formula, Pch,i,tFor the thermal power of the ith CHP unit in the t period,
Figure BDA0002770871720000131
for the demand of the thermal load at the moment t, the output of the conventional thermal power unit meets the following constraint,
Figure BDA0002770871720000132
the output of the conventional thermal power generating unit meets the following constraint,
Figure BDA0002770871720000133
the output of the thermal power depth peak shaving unit meets the following constraint,
Figure BDA0002770871720000134
the output of the CHP unit is required to meet,
Figure BDA0002770871720000135
in the formula (I), the compound is shown in the specification,
Figure BDA0002770871720000136
and
Figure BDA0002770871720000137
respectively the minimum electric power and the maximum electric power of the ith CHP unit,
Figure BDA0002770871720000138
and
Figure BDA0002770871720000139
respectively the minimum and maximum thermal power of the ith CHP unit.
It is worth to be noted that the method also comprises a rotation standby constraint, a start-stop constraint and a unit climbing constraint, and specifically comprises the steps of,
Figure BDA00027708717200001310
in the formula (I), the compound is shown in the specification,
Figure BDA00027708717200001311
and Rdown,tThe upper and lower climbing limit values of the thermal power generating unit are respectively set;
when the operation state of the thermal power generating unit at the moment t is different from the operation state of the thermal power generating unit at the adjacent moment, the output force of the thermal power generating unit is equal to the minimum output force value so as to ensure the safe and stable operation of the thermal power generating unit, the start-stop constraint is as follows,
Figure BDA00027708717200001312
the unit climbing is restricted as
Figure BDA0002770871720000141
Figure BDA0002770871720000142
And
Figure BDA0002770871720000143
respectively the upper and lower climbing limit values of the thermal power generating unit,
Figure BDA0002770871720000144
and
Figure BDA0002770871720000145
the upper and lower climbing limit values of the CHP unit are respectively.
It is worth explaining that, according to the optimization target and the constraint condition, the CPLEX solver is adopted to solve, and the Yalmip toolbox is used for calling CPLEX in the MATLAB, so that the model is converted into a mixed integer programming problem.
In summary, the working principle of this embodiment is that the model minimizes the total scheduling cost of the system (including the operation cost of the thermal power generating unit, the operation cost of the CHP unit, the wind power operation and maintenance cost, and the wind abandonment penalty cost) by optimizing the electrical load, the time-of-use electricity price, and the heat charging and discharging power of the heat storage device, and reduces the wind abandonment amount and promotes the consumption of new energy resources while ensuring the peak shaving economy, and the heat storage device is configured in the thermal power system at the source side, so as to break the tradition of "fixing power by heat", improve the electrical heating characteristic curve of the CHP unit, store heat at the wind power heavy-generation period, release heat at the user heat peak period, effectively alleviate the problem of wind abandonment caused by the; meanwhile, the source side thermal power generating unit participates in deep peak shaving to improve power regulation capacity and regulation flexibility, peak shaving cost modeling of different peak shaving depths is carried out based on unit service life loss cost, the charge side coordinates the power consumption behavior of a user through a demand response model based on dynamic time-of-use electricity price, the power grid peak-valley difference is reduced, the power consumption expenditure conditions before and after user response are considered, and user response satisfaction degree parameters are introduced to achieve economic regulation and control of user side peak shaving resources.

Claims (5)

1. The peak regulation method for the combined optimization of the CHP (heat storage) and thermal power deep regulation considering user side response is characterized by comprising the following steps of:
step 1: establishing a heat storage model according to the heat storage device, wherein when the heat storage amount of the heat storage device at the time t is Chs,tIf the model of heat accumulation is,
Chs,t＝(1-σ)Chs,t-1+Phs,t
where σ is the self-heat-release rate of the heat storage device, i.e., the rate of heat loss per unit time of the heat storage device, Phs,tFor the heat-storage device to be charged and discharged at time t, Phs,t<0 denotes that the heat storage device is releasing heat, Phs,t>0 indicates that the heat storage device is in a heat storage state, the amount of heat stored in the heat storage device should satisfy the following constraint,
Figure FDA0002770871710000011
Figure FDA0002770871710000012
wherein the content of the first and second substances,
Figure FDA0002770871710000013
and
Figure FDA0002770871710000014
respectively representing the minimum and maximum heat storage capacities allowed by the heat storage device,
Figure FDA0002770871710000015
and
Figure FDA0002770871710000016
respectively represents the minimum and maximum heat storage power allowed by the heat storage device when
Figure FDA0002770871710000017
And
Figure FDA0002770871710000018
when the value is negative, the minimum and maximum heat release power is represented, and step 2 is executed;
step 2: establishing a thermal power deep-adjusting model according to the thermal power generating unit to obtain thermal power deep-adjusting cost,
Cg_deep＝Cg+aCl+bCo
Figure FDA0002770871710000019
Figure FDA00027708717100000110
Figure FDA0002770871710000021
in the formula, CoFor oil injection costs, a and b are Boolean variables, poOil charge price, O, for peak shaving power per unit depth of thermal power generating unitg,i,tThe integral electric quantity of the ith thermal power generating unit is obtained, wherein the deep-regulation actual power of the ith thermal power generating unit in the t period is lower than the steady combustion load value of the deep-regulation without oil injection;
Figure FDA0002770871710000022
the stable combustion load power is adjusted for the ith unit without throwing oil and deeply,
Figure FDA0002770871710000023
the stable combustion load power is adjusted for the oil injection depth of the ith unit,
Figure FDA0002770871710000024
is the minimum technical output of the ith thermal power generating unit,
Figure FDA0002770871710000025
maximum technical output, C, of the ith thermal power generating unitlRepresenting the economic cost of life loss required by the unit to participate in deep peak regulation, T representing a dispatching period, IgRepresenting the number of the thermal power generating units, and executing a step 3;
and step 3: a user response model is constructed, as described in detail below,
Figure FDA0002770871710000026
Figure FDA0002770871710000027
Figure FDA0002770871710000028
Figure FDA0002770871710000029
Figure FDA00027708717100000210
Figure FDA00027708717100000211
Figure FDA00027708717100000212
in the formula, Sdr,nFor the nth user satisfaction participating in the demand response, δn,tA demand response decision variable, δ, for a load n at time tn,tWhen 1, it indicates that the load has responded and the transfer power is Δ Pload,n,tThe positive value indicates that the user increases the power consumption, the negative value indicates that the power consumption is reduced,
Figure FDA00027708717100000213
in order to optimize the time-of-use electricity price,
Figure FDA00027708717100000214
for electricity prices before optimization, Pload,n,tFor the load power after the demand response,
Figure FDA00027708717100000215
in order to optimize the load power, the total electricity consumption of the users in a scheduling period is kept unchanged,
Figure FDA0002770871710000031
Figure FDA0002770871710000032
the minimum value of the peak shaving satisfaction responded by the user in one scheduling period,
Figure FDA0002770871710000033
and
Figure FDA0002770871710000034
respectively representing the minimum and maximum load transfer power allowed by the nth user, tnpFor the nth useLoad controllable time period, rho, allowed by the userRminAnd ρRmaxRespectively, the minimum and maximum time-of-use price, Delta rhoRminAnd Δ ρRmaxRespectively executing step 4 for the minimum value and the maximum value of the response quantity allowed by the time-of-use electricity price;
and 4, step 4: the method comprises the steps of calculating the total scheduling cost by taking the electric load, the time-of-use electricity price and the heat charging and discharging power of the heat storage device as optimization variables and minimizing the total scheduling cost of the system as an optimization target, wherein the total scheduling cost is calculated as
minCs＝Cg_deep+Ch+Cw+Cw_curt
Figure FDA0002770871710000035
Pceh,i,t＝Pce,i,t+ξPch,i,t
Figure FDA0002770871710000036
Figure FDA0002770871710000037
In the formula, Cg_deepThe operation cost of the thermal power generating unit comprises the operation cost of a conventional unit and the deep peak regulation cost of the thermal power generating unit; chFor the operating costs of the CHP units, CwFor the wind power operation and maintenance cost, Cw_curtPenalising costs for wind abandonment, αi、βi、γiIs the coal consumption coefficient of CHP unit, Pce,i,tAnd Pch,i,tElectric power and thermal power values P of the ith CHP unit in the t periodceh,i,tThe reduced power generation power of the ith CHP unit at the time t, ξ represents the reduced electric power value of the CHP unit when the unit thermal power is increased, θ is the wind power operation and maintenance cost coefficient, P is the power generation output power of the ith CHP unit, andw_r,tthe actual output power of the wind power at the time t, mu is a wind abandon punishment cost coefficient, Pw_f,tPredicting power of wind power for t momentAnd (4) rate.
2. The heat-storage-containing CHP and thermal power deep regulation combined optimization peak regulation method considering user-side response as claimed in claim 1, wherein in the step 2, the life loss cost C of the unitlIs composed of
Figure FDA0002770871710000038
Figure FDA0002770871710000041
Wherein, γg,i,tFor the state of the ith thermal power generating unit participating in deep regulation at the moment t, gammag,i,t1 indicates that the unit participates in deep peak regulation, gammag,i,t0 means that the unit does not participate in deep adjustment; clRepresenting economic cost of life loss, Y, required for the unit to participate in deep peak shavinggPrice of the unit, NgRepresenting the cracking cycle, for fatigue loss of the metal material, EgDenotes the modulus of elasticity, σ, of the metallic materialaAnd σωRespectively representing the stress at the calculated point of the material and the material fatigue strength limit,
Figure FDA0002770871710000042
the reduction of area of the material is shown.
3. The CHP and thermal power deep regulation combined optimization peak regulation method considering user-side response, as claimed in claim 2, wherein in the step 2, the linear constraint after the equivalent transformation is
Figure FDA0002770871710000043
In the formula, c1And c2Is any constant greater than 0, a and b are Boolean variables having values of 0 or1, Sg,i,tIs a variable from 0 to 1.
4. The peak shaving method for combined optimization of CHP (heat storage-containing) and thermal power deep regulation considering user-side response as claimed in claim 3, wherein the step 4 further comprises an electric power balance constraint, a thermal power unit maximum and minimum output constraint and a CHP unit maximum and minimum output constraint, specifically as follows,
the balance of the electric power is constrained by the constraints,
Figure FDA0002770871710000044
in the formula, Pce,i,tFor the electric power of the ith CHP unit in the t period,
the heat power is in balance constraint,
Figure FDA0002770871710000045
in the formula, Pch,i,tFor the thermal power of the ith CHP unit in the t period,
Figure FDA0002770871710000046
for the demand of the thermal load at time t,
the output of the conventional thermal power generating unit meets the following constraint,
Figure FDA0002770871710000051
the output of the thermal power depth peak shaving unit meets the following constraint,
Figure FDA0002770871710000052
the output of the CHP unit is required to meet,
Figure FDA0002770871710000053
in the formula (I), the compound is shown in the specification,
Figure FDA0002770871710000054
and
Figure FDA0002770871710000055
respectively the minimum electric power and the maximum electric power of the ith CHP unit,
Figure FDA0002770871710000056
and
Figure FDA0002770871710000057
respectively the minimum and maximum thermal power of the ith CHP unit.
5. The heat-storage-containing CHP and thermal power deep regulation combined optimization peak regulation method considering user-side response as claimed in claim 4, further comprising a rotation standby constraint, a start-stop constraint and a unit climbing constraint, specifically comprising,
the rotational back-up constraint is that,
Figure FDA0002770871710000058
in the formula (I), the compound is shown in the specification,
Figure FDA0002770871710000059
and Rdown,tThe upper and lower climbing limit values of the thermal power generating unit are respectively set;
when the operation state of the thermal power generating unit at the moment t is different from the operation state of the thermal power generating unit at the adjacent moment, the output force of the thermal power generating unit is equal to the minimum output force value so as to ensure the safe and stable operation of the thermal power generating unit, the start-stop constraint is as follows,
Figure FDA00027708717100000510
the unit climbing is restricted as
Figure FDA00027708717100000511
Figure FDA00027708717100000512
And
Figure FDA00027708717100000513
respectively the upper and lower climbing limit values of the thermal power generating unit,
Figure FDA00027708717100000514
and
Figure FDA00027708717100000515
the upper and lower climbing limit values of the CHP unit are respectively.
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