CN111583062B - Thermoelectric cooperative regulation and control method and system based on heat supply network transmission delay and heat storage characteristics - Google Patents
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Abstract
The application relates to a thermoelectric cooperative regulation and control method and a thermoelectric cooperative regulation and control system based on heat supply network transmission delay and heat storage characteristics, wherein the thermoelectric cooperative regulation and control method comprises the following steps: constructing a heat supply load change curve of each time sequence segment in a scheduling period; evaluating the transmission delay of the heat supply network; describing the maximum heat storage capacity of the generalized energy storage system according to the transmission delay of the heat supply network; establishing a heat storage and release scheme of the generalized energy storage system for the corresponding time sequence segments according to the heat supply load change curve and establishing constraint conditions; constructing a quality adjustment delay heat supply feasibility scheme solution set according to the maximum heat storage capacity and the like; constructing a real-time heating capacity adjustment feasibility solution set corresponding to the quality adjustment delay heating feasibility solution set; and establishing an objective function according to the heat supply load change curve to acquire a thermoelectric cooperative regulation strategy in the current scheduling period, thereby effectively relieving the frequent and large-amplitude fluctuation running state of the unit running load caused by the change of the electric load demand and the heat supply deficiency caused by the limitation of the thermoelectric load production matching relation of the unit.
Description
Technical Field
The application belongs to the technical field of heat supply and energy conservation, and particularly relates to a thermoelectric cooperative regulation and control method and system based on heat supply network transmission delay and heat storage characteristics.
Background
With the rapid development of clean energy sources such as wind power, photoelectricity and the like and the improvement of the grid-connected power generation ratio, the traditional coal-fired power plant has the functions of supplying power and protecting electricity from the original power, and has higher requirements on the peak shaving capacity of a unit from the current more functions serving as the peak shaving of the power grid. The coal-fired cogeneration unit serving as an important infrastructure for urban central heating is faced with the development trend of large heating area, long heating pipeline and complex topological structure of an urban central heating system, the traditional heat storage device is configured in a thermoelectric system to change the running mode of the unit, the peak regulation capacity of the unit is improved, the requirement is often difficult to meet, a breakthrough is needed in a new heat storage technology, the peak regulation margin of the cogeneration unit is deeply excavated, the problem of incoordination between heat and electricity is solved, and the method has great significance in combined prevention and control of energy conservation, consumption reduction and atmospheric pollution.
Therefore, based on the above technical problems, a new thermoelectric collaborative regulation and control method and system based on the transmission delay and the heat storage characteristic of the heat supply network are needed to be designed.
Disclosure of Invention
The application aims to provide a thermoelectric cooperative regulation and control method and a thermoelectric cooperative regulation and control system based on heat supply network transmission delay and heat storage characteristics.
In order to solve the technical problems, the application provides a thermoelectric cooperative regulation and control method based on heat supply network transmission delay and heat storage characteristics, which comprises the following steps:
dividing the scheduling period tau into sequential combinations of time sequence fragments with different lengths, and constructing a heating load change curve corresponding to each time sequence fragment;
evaluating the transmission delay of the heat supply network;
the heat supply network is equivalent to a generalized energy storage system, and the maximum heat storage capacity is described according to the transmission delay of the heat supply network;
establishing a heat accumulation and release scheme of the generalized energy storage system according to the heat supply load change curves corresponding to the time sequence segments and aiming at different time sequence segments of a scheduling period, and establishing constraint conditions;
constructing a quality adjustment delay heat supply feasibility scheme solution set according to the maximum heat storage capacity, the required heat load and the real-time electric load of the cogeneration unit;
constructing a real-time heating capacity adjustment feasibility solution set corresponding to the quality adjustment delay heating feasibility solution set; and
and establishing a thermoelectric system operation economy objective function according to the heat supply load change curve so as to acquire a thermoelectric cooperative regulation strategy under the current dispatching cycle.
Further, the method for dividing the scheduling period τ into sequential combinations of time sequence segments with different lengths and constructing a heating load change curve corresponding to each time sequence segment includes:
Q sup (t)＝f Qsup (T sup,1 (t),P sup,1 (t),T sup,2 (t),P sup,2 (t),q sup (t))；
wherein ,Qsup (t) is the heat supply of a unit at the moment t, and the unit is GJ; t (T) sup,1 (t)、T sup,2 (t) is the supply and return water temperature of the unit at the moment t respectively, and the unit is the temperature; p (P) sup,1 (t)、P sup,2 (t) is the supply and return water pressure of the unit at the moment t, and the unit is MPa; q sup And (t) is the circulating water quantity of the heat supply network at the moment t, and the unit is t/h.
Further, the method for evaluating the transmission delay of the heat supply network comprises the following steps:
the spatial transport of the heating medium in the heat network generates a time delay delta tau;
Δτ(t)＝Z delay *f delay (q sup (t),ΔT(t))；
wherein DeltaT (T) is the difference between the temperature changes of the source side heating medium at the moment T, and the unit is DEG C; z is Z delay Is the thermal retardation coefficient.
Further, the method for equivalently converting the heat supply network into a generalized energy storage system and describing the maximum heat storage capacity according to the transmission delay of the heat supply network comprises the following steps:
the continuous heat storage capacity of the heat supply network is described according to the transmission delay of the heat supply network, the pipe diameter of the pipeline, the total length of the pipeline and the heat preservation characteristic of the pipeline:
wherein D is the pipe diameter of the pipeline; l is the total length of the pipeline; lambda (t) is the heat preservation property of the pipeline;
the pipe insulation characteristics lambda (t) are described in terms of equivalent heat loss alpha (t):
λ(t)＝f λ(t )(α(t))；
the maximum equivalent heat accumulation mass of the heat supply network is as follows:
wherein ,mean heating pressure for M heating stations on the user side +.>And average heating temperature>The unit of the specific enthalpy value of the lower heating medium is kJ/kg; ρ con,1 The density of the heating medium is kg/m 3 。
Further, the method for establishing a heat storage and release scheme of the generalized energy storage system according to the heat supply load change curves corresponding to the time sequence segments and aiming at different time sequence segments of a scheduling period, and establishing constraint conditions comprises the following steps:
for any time segment t of the scheduling period n-1 ,t n ]Establishing a heat storage and release scheme of the generalized energy storage system:
wherein ,is [ t ] n-1 ,t n ]The heat accumulation or heat release of the time sequence segment heat supply network is GJ; alpha (t) is [ t ] n-1 ,t n ]Equivalent heat loss of the time sequence segment heat supply network; q (Q) sto (t) is the heat accumulation or release amount at the time t, and the unit is GJ; q (Q) sup (t) is the heat supply of a unit at the moment t, and the unit is GJ; w (t) is the required heat load of the heating system at the moment t, and the unit is MWh;
wherein w (t) m For the required heat load of the mth heating station,the unit is MWh;
T con,1 (t)、T con,2 (t) is the temperature of water supply and return of the mth heating power station at the moment t, and the unit is the temperature;
P con,1 (t)、P con,2 (t) is the supply and return water pressure of the mth heating power station at the moment t, and the unit is MPa;
q con (t) is the water supply amount of the mth heating station at the t moment, and the unit is t/h;
the constraint conditions include:
wherein ,Qsup (t) min 、Q sup (t) max The unit is GJ, which is the minimum heat supply amount and the maximum heat supply amount which can be provided by the unit at the moment t;the unit is MWh for the total required heat load of the heating system in the dispatching period tau; c (C) con The total amount of heat load required is predicted at a scheduling period tau taking account of the outdoor temperature variation and the building structure difference.
Further, the method for solving the delayed heating feasibility scheme according to the maximum heat storage capacity, the required heat load and the real-time electric load of the cogeneration unit comprises the following steps:
according to the maximum heat storage capacity Q sto (Δt) max Real-time electric load P of heat load W (t) and cogeneration unit es (T) determining the elevation DeltaT of the Source side heating temperature sup,1 (t) and duration (Δt) qual I.e.
F qual (ΔT sup,1 (t),Δt qual )＝f qual (P es (t),W(t),Q sto (Δt) max)； and
|ΔT sup,1 (t)|≤{T sup,1 max -T sup,1 min ,δ}；
wherein ,Tsup,1 max 、T sup,1 min The upper and lower limits of the water supply temperature of the heat supply network are respectively set, and the unit is DEG C; delta is a device climbing constraint parameter for ensuring normal operation of the unit;
n time sequence fragments with different lengths and facing to scheduling period tau regulate temperature variable delta T according to quality sup,1(n) And its duration deltat qual(n) Can establish a quality adjustment delay heat supply feasibility scheme solution set facing to the scheduling period tau
Further, the method of constructing a real-time heating capacity adjustment feasibility solution set corresponding to the quality adjustment delayed heating feasibility solution set includes:
in the non-plasma regulatory effective region [0, t dealy.1 ]Variation delta q of heat medium transport flow sup (t) duration at New flow Condition Δt quan By the thermal load w (t) demanded by the respective user or station m Elevation of Source side heating temperature DeltaT sup,1 (t), and pump, valve real-time operating characteristics ζ pum (t)、ξ val (t) determining:
effective action region of in-vitro quality regulation [ t ] dealy.1 ,τ]Variation delta q of heat medium transport flow sup (t) duration at New flow Condition Δt quan By the thermal load w (t) demanded by the respective user or station m Elevation of Source side heating temperature DeltaT sup,1 (t), and pump, valve real-time operating characteristics ζ pum (t)、ξ val (t) determining:
further, the method for establishing the thermoelectric system operation economy objective function according to the heating load change curve to obtain the thermoelectric cooperative regulation strategy under the current dispatching cycle comprises the following steps:
establishing a thermoelectric system operation economy objective function according to a heating load change curve:
wherein ,Dop The power consumption cost for the operation of the equipment; d (D) fuel The fuel consumption cost of the unit;
solving an operation economy objective function of the thermoelectric system through an intelligent optimizing algorithm to obtain a thermoelectric collaborative optimization regulation and control parameter solution based on the transmission delay and the heat storage characteristic of the heat supply network:
F qua (ΔT sup,1,i ,Δt qual,i ,Δq sup,i (t),Δt quan,i (t))；
wherein ,ΔTsup,1,i 、Δt qual,i 、Δq sup,i (t)、Δt quan,i (t) respectively representing the lifting of the source side heating temperature and the duration time under the scheme i, and the corresponding heating medium transportation flow variable quantity and the duration time under the new flow condition;
thereby obtaining the real-time heat supply scheme Q of the cogeneration unit sup,i (t) Heat storage scheme Q of generalized energy storage System sto,i (t) to construct a thermoelectric co-regulation strategy at the current scheduling period.
On the other hand, the application also provides a thermoelectric cooperative regulation and control system based on the transmission delay and the heat storage characteristic of the heat supply network, which comprises the following components:
the curve construction module divides the scheduling period tau into sequential combinations of time sequence fragments with different lengths, and constructs a heat supply load change curve corresponding to each time sequence fragment;
the evaluation module is used for evaluating the transmission delay of the heat supply network;
the description module is used for equivalently converting a heat supply network into a generalized energy storage system and describing the maximum heat storage capacity according to the transmission delay of the heat supply network;
the generalized energy storage system construction module is used for establishing a heat storage and release scheme of the generalized energy storage system according to the heat supply load change curves corresponding to the time sequence segments and aiming at different time sequence segments of a scheduling period, and establishing constraint conditions;
the quality adjustment delay heat supply feasibility scheme solution set module constructs a quality adjustment delay heat supply feasibility scheme solution set according to the maximum heat storage capacity, the required heat load and the real-time electric load of the cogeneration unit;
the real-time heating capacity adjustment feasibility scheme solution set module constructs a real-time heating capacity adjustment feasibility scheme solution set corresponding to the quality adjustment delay heating feasibility scheme solution set; and
and the thermoelectric cooperative regulation strategy generation module is used for establishing an operation economy objective function of the thermoelectric system according to the heat supply load change curve so as to acquire the thermoelectric cooperative regulation strategy under the current dispatching cycle.
The application has the beneficial effects that the scheduling period tau is divided into sequential combinations of time sequence fragments with different lengths, and a heating load change curve corresponding to each time sequence fragment is constructed; evaluating the transmission delay of the heat supply network; the heat supply network is equivalent to a generalized energy storage system, and the maximum heat storage capacity is described according to the transmission delay of the heat supply network; establishing a heat accumulation and release scheme of the generalized energy storage system according to the heat supply load change curves corresponding to the time sequence segments and aiming at different time sequence segments of a scheduling period, and establishing constraint conditions; constructing a quality adjustment delay heat supply feasibility scheme solution set according to the maximum heat storage capacity, the required heat load and the real-time electric load of the cogeneration unit; constructing a real-time heating capacity adjustment feasibility solution set corresponding to the quality adjustment delay heating feasibility solution set; and an operation economy objective function of the thermoelectric system is established according to the heat supply load change curve so as to acquire a thermoelectric cooperative regulation strategy under the current dispatching cycle, and the problems of frequent and large-amplitude fluctuation operation states of the unit operation load caused by the change of the electric load demand and insufficient heat supply caused by the limitation of the thermoelectric load production matching relation of the unit are effectively alleviated.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the above objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present application, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a thermoelectric coordinated control method based on heat supply network transmission delay and heat storage characteristics according to the application;
FIG. 2 is a graph of heating load variation in accordance with the present application;
FIG. 3 is a graph of coordinated thermal power control of a unit based on heat network transmission delay and heat storage characteristics according to the application;
FIG. 4 is a graph of the timing and thermal regulation of a scheduling cycle according to the present application;
fig. 5 is a schematic block diagram of a thermoelectric coordinated control system based on the transmission delay and the heat storage characteristics of a heat supply network according to the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the present application will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1
FIG. 1 is a flow chart of a thermoelectric coordinated control method based on heat supply network transmission delay and heat storage characteristics according to the application;
fig. 2 is a graph showing a change in heating load according to the present application.
As shown in fig. 1 and fig. 2, embodiment 1 provides a thermoelectric cooperative regulation and control method based on transmission delay and heat storage characteristics of a heat supply network, which includes: dividing the scheduling period tau into sequential combinations of time sequence fragments with different lengths, and constructing a heating load change curve corresponding to each time sequence fragment; evaluating the transmission delay of the heat supply network; the heat supply network is equivalent to a generalized energy storage system, and the maximum heat storage capacity is described according to the transmission delay of the heat supply network; establishing a heat accumulation and release scheme of the generalized energy storage system according to the heat supply load change curves corresponding to the time sequence segments and aiming at different time sequence segments of a scheduling period, and establishing constraint conditions; constructing a quality adjustment delay heat supply feasibility scheme solution set according to the maximum heat storage capacity, the required heat load and the real-time electric load of the cogeneration unit; constructing a real-time heating capacity adjustment feasibility solution set corresponding to the quality adjustment delay heating feasibility solution set; and an operation economy objective function of the thermoelectric system is established according to the heat supply load change curve so as to acquire a thermoelectric cooperative regulation strategy under the current dispatching cycle, and the problems of frequent and large-amplitude fluctuation operation states of the unit operation load caused by the change of the electric load demand and insufficient heat supply caused by the limitation of the thermoelectric load production matching relation of the unit are effectively alleviated.
In this embodiment, under the condition that the total heat supply load of one scheduling period is unchanged, the scheduling period is divided into sequential combinations of time sequence fragments with different lengths based on a unit electric load production curve and a heat supply system demand load prediction curve according to a heat supply network delay evaluation result. For any period, on one hand, pump and valve operation characteristic simulation curves are utilized, and the quantity adjustment is carried out by regulating and controlling the operation working points of each pump and valve in the heat supply network in real time so as to keep the heat supply on the demand side as required, and the phenomenon of over-supply/under-supply is avoided; on the other hand, by utilizing the delay of heat transmission of the heat supply network, a 'quality adjustment' method is adopted to inject more (or less) part of heat into the heat supply network, which is equivalent to heat accumulation (or heat release) of an energy storage system, the value is equal to the difference between the total heat supply amount and the total heat load demand amount of a unit in the current period, and the difference is positive and represents the heat accumulation period of the heat supply network; the difference value is negative, which represents the heat release period of the heat supply network, and the algebraic sum of heat accumulation and heat release of the heat supply network in each period in the scheduling period is zero. Under the constraint conditions of meeting the heat supply capacity, the heat supply network transmission and distribution capacity, the heat storage capacity and the like of the unit, the operation economy of the thermoelectric system is taken as a target, the change trend of the heat supply curve of the unit under different time sequence segments of the scheduling period is reasonably allocated, and the preferential calculation is carried out, so that the thermoelectric collaborative optimization regulation and control strategy under the current scheduling period can be finally obtained.
In this embodiment, the method for dividing the scheduling period τ into sequential combinations of time sequence segments with different lengths and constructing a heating load change curve corresponding to each time sequence segment includes:
Q sup (t)＝f Qsup (T sup,1 (t),P sup,1 (t),T sup,2 (t),P sup,2 (t),q sup (t))；
wherein ,Qsup (t) is the heat supply of a unit at the moment t, and the unit is GJ; t (T) sup,1 (t)、T sup,2 (t) is the supply and return water temperature of the unit at the moment t respectively, and the unit is the temperature; p (P) sup,1 (t)、P sup,2 (t) is the supply and return water pressure of the unit at the moment t, and the unit is MPa; q sup And (t) is the circulating water quantity of the heat supply network at the moment t, and the unit is t/h.
FIG. 3 is a graph of coordinated thermal power control of a unit based on heat network transmission delay and heat storage characteristics according to the application;
in this embodiment, the method for evaluating the transmission delay of the heat supply network includes: the delay of the heat supply network is expressed as: the heat supply change amount generated by the change of the source side heat medium (hot water) temperature is delivered to the user (heating power station) and a certain time is needed for the heat medium temperature change of the user (heating power station), as shown in fig. 3, the quality adjustment heat supply amount at the time of '0' is shown as t dealy.1 The time acts on the demand side, namely the space transmission of the heating medium in the heat supply network generates a time delay delta;
Δτ(t)＝Z delay *f delay (q sup (t),ΔT(t))；
wherein DeltaT (T) is the difference between the temperature changes of the source side heating medium at the moment T, and the unit is DEG C; z is Z delay The thermal delay coefficient is determined by the heat transfer distance and the pipeline laying depth and consists of a heat supply network pipeline.
In this embodiment, the method for equivalently providing a heating network as a generalized energy storage system and describing the maximum heat storage capacity according to the transmission delay of the heating network includes: the continuous heat storage capacity of the heat supply network is described according to the transmission delay of the heat supply network, the pipe diameter of the pipeline, the total length of the pipeline and the heat preservation characteristic of the pipeline:
wherein D is the pipe diameter of the pipeline; l is the total length of the pipeline; lambda (t) is the heat preservation property of the pipeline;
the pipe insulation characteristics lambda (t) are described in terms of equivalent heat loss alpha (t):
λ(t)＝f λ(t) (α(t))；
the heat storage capacity of the generalized energy storage system can be equivalent to that of a general heat storage tank, and is described by equivalent heat storage mass, the intention is to achieve the same total heat storage capacity, the volume of the heat storage tank needs to be additionally configured under the same heat load condition, and the maximum equivalent heat storage mass of the heat supply network is as follows:
wherein ,mean heating pressure for M heating stations on the user side +.>And average heating temperature>The unit of the specific enthalpy value of the lower heating medium is kJ/kg; ρ con,1 Is the density of the heating medium, singlyAt a position of kg/m 3 。
FIG. 4 is a graph of the timing and thermal regulation of a scheduling cycle according to the present application.
In this embodiment, the method for establishing a heat storage and release scheme of the generalized energy storage system for different time sequence segments of the scheduling period according to the heat supply load change curve corresponding to each time sequence segment, and establishing constraint conditions includes: the quality parallel adjustment method is adopted to realize real-time meeting of the user demands, and any time sequence segment [ t ] of the scheduling period is aimed at n-1 ,t n ]Establishing a heat storage and release scheme of the generalized energy storage system:
wherein ,is [ t ] n-1 ,t n ]The heat accumulation or heat release of the time sequence segment heat supply network is GJ; alpha (t) is [ t ] n-1 ,t n ]Equivalent heat loss of the time sequence segment heat supply network is; q (Q) sto (t) is the heat accumulation or release amount at the time t, and the unit is GJ; q (Q) sup (t) is the heat supply quantity (heat consumption quantity on the demand side of a heat supply system) of the unit at the time t, and the unit is GJ; w (t) is the required heat load of the heating system at the moment t, and the unit is MWh;
wherein w (t) m The unit is MWh for the required heat load of the mth heating station;
T con,1 (t)、T con,2 (t) is the temperature of water supply and return of the mth heating power station at the moment t, and the unit is the temperature;
P con,1 (t)、P con,2 (t) is the supply and return water pressure of the mth heating power station at the moment t, and the unit is MPa;
q con (t) mth thermodynamic station at t momentIs t/h; as shown in fig. 3, Δt 1 and Δt3 Time period (time sequence segment), pipe network heat accumulation; Δt (delta t) 2 and Δt4 Time period, heat release of the pipe network; the total heat accumulation and release amount in each period is equal to the size of the shadow area surrounded by the thermoelectric cooperative heat supply curve and the demand heat load curve of the unit shown in fig. 4; the total amount of continuous heat storage by using the transmission delay of the heat supply network should not be larger than the maximum heat storage capacity of the heat supply network, and the heat storage and release schemes of different time periods of the scheduling period should meet the following constraint conditions, wherein the constraint conditions include:
wherein ,Qsup (t) min 、Q sup (t) max The minimum heat supply quantity and the maximum heat supply quantity which can be provided by the unit at the moment t are determined by the thermoelectric load characteristics of the unit, and the unit is GJ;the unit is MWh for the total required heat load of the heating system in the dispatching period tau; c (C) con The predicted value of the total amount of the required heat load at the scheduling period τ in consideration of the outdoor temperature variation and the building structure difference is regarded as a constant.
In this embodiment, the method for constructing a solution of a quality adjustment delayed heating feasibility scheme according to the maximum heat storage capacity, the required heat load and the real-time electric load of the cogeneration unit includes: aiming at each time sequence segment of the scheduling period, sequentially passing through the estimation of a quality adjustment scheme and the influence evaluation of corresponding quantity adjustment change on the transmission delay of the heat supply network, and establishing a solution set of the quality adjustment delay heat supply feasibility scheme under the full scheduling period; the quality adjustment is to raise (or lower) the temperature of the heating medium, and to inject more (or less) part of heat into the heating network, so that the generalized energy storage system (heating network) stores heat (or releases heat), and the problems of frequent and large-amplitude fluctuation running state of the unit running load caused by the change of electric load demand and insufficient heat supply caused by the limitation of the unit thermoelectric load production matching relation are effectively alleviated; quality of heat supply networkCapacity of regulation, i.e. based on maximum heat storage capacity Q sto (Δt) max Real-time electric load P of heat load W (t) and cogeneration unit es (T) determining the elevation DeltaT of the Source side heating temperature sup,1 (t) and duration Δt thereof qual ：
F qual (ΔT sup,1 (t),Δt qual )＝f qual (P es (t),W(t),Q sto (Δt) max)； and
the conditions to be met by the quality adjusting temperature variable are as follows:
|ΔT sup,1 (t)|≤{T sup,1 max -T sup,1 min ,δ}；
wherein ,Tsup,1 max 、T sup,1 min The upper and lower limits of the water supply temperature of the heat supply network are respectively set, and the unit is DEG C; delta is a device climbing constraint parameter for ensuring normal operation of the unit;
under the constraint condition, N time sequence fragments with different lengths facing to the scheduling period tau are adjusted according to the quality to adjust the temperature variable delta T sup,1(n) And its duration deltat qual(n) Can establish a quality adjustment delay heat supply feasibility scheme solution set facing to the scheduling period tau
In this embodiment, the method for constructing a real-time heating capacity adjustment feasibility solution set corresponding to (matching) a quality adjustment delay heating feasibility solution set includes: according to the pump and valve operation characteristic simulation curves, the transport flow of the heating medium in the heating network is regulated by regulating and controlling the operation working points of each pump and valve in the heating network in real time; under the condition of 'quality adjustment' delayed heat supply, the 'quantity adjustment' can meet the real-time energy consumption requirement of each user (heating power station) to realize heat supply according to the requirement;
in the non-plasma regulatory effective region [0, t dealy.1 ](Δt in FIG. 3) 1 Period), the heat medium transport flow rate variation Δq sup (t) duration at New flow Condition Δt quan By the thermal load w (t) demanded by the respective user or station m Elevation of Source side heating temperature DeltaT sup,1 (t), and pump, valve real-time operating characteristics ζ pum (t)、ξ val (t) determining:
effective action region of in-vitro quality regulation [ t ] dealy.1 ,τ](Δt in FIG. 3) 2 ～Δt 4 Period), the heat medium transport flow rate variation Δq sup (t) duration at New flow Condition Δt quan By the heat load w (t) required by the respective user or station supplying the heat m Elevation of Source side heating temperature DeltaT sup,1 (t), and pump, valve real-time operating characteristics ζ pum (t)、ξ val (t) determining:
a real-time heating capacity adjustment feasibility solution set corresponding to (cooperating with) the quality adjustment delayed heating feasibility solution set is obtained.
In this embodiment, the method for establishing the thermoelectric system operation economy objective function according to the heating load change curve to obtain the thermoelectric cooperative regulation strategy under the current scheduling period includes: considering the influence of different thermoelectric production load conditions on the unit operation energy efficiency, establishing a thermoelectric system operation economy objective function facing a scheduling period tau, carrying out optimizing calculation by utilizing an intelligent optimizing algorithm to obtain a heating load curve matched with a unit electric load demand curve, and determining a thermoelectric cooperative regulation strategy under the current scheduling period; the running economy of the source side thermoelectric system mainly comprises the running electricity consumption cost D of equipment such as a coal conveyor, a circulating water pump, a fan and the like op And the fuel consumption cost D of the unit fuel Determining; while the equipment operation costs D op And the fuel consumption cost D of the unit fuel And mainly depends on the real-time electric load P of the cogeneration unit at each moment in the degree period tau es (t) Heat supply quantity Q of Unit sup (t); taking into account different heatThe influence of the electric production load condition on the running energy efficiency of the unit,
establishing a source side thermoelectric system operation economy objective function facing to a scheduling period tau according to a heating load change curve:
wherein ,Dop The power consumption cost for the operation of the equipment; d (D) fuel The fuel consumption cost of the unit; the equipment for influencing the running economy of the source side unit mainly comprises: coal conveyor, circulating water pump, blower, etc.;
solving an operation economy objective function of the thermoelectric system through an intelligent optimizing algorithm to obtain a thermoelectric collaborative optimization regulation and control parameter solution based on the transmission delay and the heat storage characteristic of the heat supply network:
F qua (ΔT sup,1,i ,Δt qual,i ,Δq sup,i (t),Δt quan,i (t))；
thereby obtaining the real-time heat supply scheme Q of the cogeneration unit sup,i (t) Heat storage scheme Q of generalized energy storage System sto,i And (t) forming a thermoelectric cooperative regulation strategy under the current dispatching cycle, and regulating and controlling the heat supply network according to the thermoelectric cooperative regulation strategy under the current dispatching cycle.
In this embodiment, the particle swarm algorithm is taken as an example of the optimizing algorithm, the search space is n-dimensional, and the current position of the particle e is marked as PO e ＝(po e1 ,po e2 ,...,po en ) The method comprises the steps of carrying out a first treatment on the surface of the The current flying speed is recorded as V e ＝(v e1 ,v e2 ,...,v en ) The method comprises the steps of carrying out a first treatment on the surface of the The optimal position of the experience is recorded as pbest e ＝(pbest e1 ,pbest e2 ,...,pbest en ) The optimal position experienced by particle e is determined by:
setting the population particle number as K, wherein the best position experienced by all particles is a global optimal position;
gbest(r)＝MIN{f eco (pbest 1 (r)),f eco (pbest 2 (r)),...,f eco (pbest K (r))}；
the particle flight speed and position are updated by the following formula:
v eg (r+1)＝v eg (r)+c 1 d 1 (pbest eg (r)-x eg (r))+c 2 d 2 (gbest g (r)-x eg (r))；
x eg (r+1)＝x eg (r)+v eg (r+1)；
wherein eg is the g-th dimension of particle e; v eg (r) is the g-th dimensional flight velocity component of particle e as it evolves to generation r; x is x eg (r) is the g-th dimensional position component of particle e as it evolves to generation r; pbest (p best) eg (r) an individual optimal position component in dimension g when particle e evolves to generation r; gbest (g best) g (r) is the g-th dimension component of the overall most significant position when evolving to the r generation; c 1 、c 2 Is an acceleration factor; d, d 1 、d 2 Is [0,1]A random number;
the specific operation method comprises the following steps:
step S1, initializing population particle number K, acceleration factor c and particle maximum speed v max And a convergence condition;
step S2, randomly initializing each load scheduling scheme and speed vector under the conditions of supply-demand balance constraint, heat storage and release scheme constraint, quality adjustment temperature change constraint, heat source side heat supply load constraint, heat supply network transmission and distribution capacity constraint and the like, setting the individual historical optimal position of each scheme as the position of the current scheme, and calculating the optimal positions of all scheduling schemes;
step S3, updating the position and the speed of each scheme according to an updating formula; calculating an objective function value of each scheme position, and updating the individual historical optimal position of each scheme and the optimal positions of all scheduling schemes;
step S4, judging whether the iteration times r meet a convergence condition, if so, stopping searching, outputting a result, otherwise, returning to step 3, and continuing to calculate;
therefore, the thermoelectric cooperative optimization regulation and control parameter solution based on the transmission delay and the heat storage characteristic of the heat supply network:
F qua (ΔT sup,1,i ,Δt qual,i ,Δq sup,i (t),Δt quan,i (t))；
wherein, subscript "i" represents that the i-th group thermoelectric cooperative regulation scheme is an objective function solution; delta T sup,1,i 、Δt qual,i 、Δq sup,i (t)、Δt quan,i (t) respectively representing the lifting and duration time of the heat supply temperature of the source side under the scheme i (i-th group thermoelectric cooperative regulation scheme), and the corresponding variable quantity of the heat medium transportation flow and the duration time under the new flow condition;
thereby obtaining the real-time heat supply scheme Q of the cogeneration unit sup,i (t) Heat storage scheme Q of generalized energy storage System sto,i (t) to construct a thermoelectric co-regulation strategy at the current scheduling period.
Example 2
Fig. 5 is a schematic block diagram of a thermoelectric coordinated control system based on the transmission delay and the heat storage characteristics of a heat supply network according to the present application.
As shown in fig. 5, on the basis of embodiment 1, embodiment 2 further provides a thermoelectric cooperative regulation and control system based on a transmission delay and a heat storage characteristic of a heat supply network, which includes: the curve construction module divides the scheduling period tau into sequential combinations of time sequence fragments with different lengths, and constructs a heat supply load change curve corresponding to each time sequence fragment; the evaluation module is used for evaluating the transmission delay of the heat supply network; the description module is used for equivalently converting a heat supply network into a generalized energy storage system and describing the maximum heat storage capacity according to the transmission delay of the heat supply network; the generalized energy storage system construction module is used for establishing a heat storage and release scheme of the generalized energy storage system according to the heat supply load change curves corresponding to the time sequence segments and aiming at different time sequence segments of a scheduling period, and establishing constraint conditions; the quality adjustment delay heat supply feasibility scheme solution set module constructs a quality adjustment delay heat supply feasibility scheme solution set according to the maximum heat storage capacity, the required heat load and the real-time electric load of the cogeneration unit; the real-time heating capacity adjustment feasibility scheme solution set module constructs a real-time heating capacity adjustment feasibility scheme solution set corresponding to the quality adjustment delay heating feasibility scheme solution set; and the thermoelectric cooperative regulation strategy generation module is used for establishing an operation economy objective function of the thermoelectric system according to the heat supply load change curve so as to acquire the thermoelectric cooperative regulation strategy under the current dispatching cycle.
In this embodiment, the curve construction module divides the scheduling period τ into sequential combinations of time sequence segments with different lengths and constructs a heating load variation curve corresponding to each time sequence segment, the evaluation module evaluates the transmission delay of the heating network, the description module equivalents the heating network into a generalized energy storage system and describes the maximum heat storage capacity thereof according to the transmission delay of the heating network, the generalized energy storage system construction module establishes heat storage and release schemes of the generalized energy storage system for different time sequence segments of the scheduling period according to the heating load variation curve corresponding to each time sequence segment and establishes constraint conditions, the mass-regulating delayed heating feasibility scheme solution module constructs a mass-regulating delayed heating feasibility scheme solution according to the maximum heat storage capacity, the required heating load and the real-time electric load of the cogeneration unit, the real-time heating quantity regulating feasibility scheme solution module constructs a real-time heating quantity regulating feasibility scheme solution corresponding to the mass-regulating delayed heating feasibility scheme solution, and the thermoelectric collaborative regulation strategy generation module establishes an economic objective function according to the heating load variation curve to obtain a thermoelectric collaborative regulation strategy under the current scheduling period.
In summary, the application divides the scheduling period tau into sequential combinations of time sequence segments with different lengths, and constructs a heating load change curve corresponding to each time sequence segment; evaluating the transmission delay of the heat supply network; the heat supply network is equivalent to a generalized energy storage system, and the maximum heat storage capacity is described according to the transmission delay of the heat supply network; establishing a heat accumulation and release scheme of the generalized energy storage system according to the heat supply load change curves corresponding to the time sequence segments and aiming at different time sequence segments of a scheduling period, and establishing constraint conditions; constructing a quality adjustment delay heat supply feasibility scheme solution set according to the maximum heat storage capacity, the required heat load and the real-time electric load of the cogeneration unit; constructing a real-time heating capacity adjustment feasibility solution set corresponding to the quality adjustment delay heating feasibility solution set; and an operation economy objective function of the thermoelectric system is established according to the heat supply load change curve so as to acquire a thermoelectric cooperative regulation strategy under the current dispatching cycle, and the problems of frequent and large-amplitude fluctuation operation states of the unit operation load caused by the change of the electric load demand and insufficient heat supply caused by the limitation of the thermoelectric load production matching relation of the unit are effectively alleviated.
In the several embodiments provided in the present application, it should be understood that the disclosed system and method may be implemented in other manners as well. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form a single part, or each module may exist alone, or two or more modules may be integrated to form a single part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
With the above-described preferred embodiments according to the present application as an illustration, the above-described descriptions can be used by persons skilled in the relevant art to make various changes and modifications without departing from the scope of the technical idea of the present application. The technical scope of the present application is not limited to the description, but must be determined according to the scope of claims.
Claims (2)
1. A thermoelectric cooperative regulation and control method based on heat supply network transmission delay and heat storage characteristics is characterized by comprising the following steps:
dividing the scheduling period tau into sequential combinations of time sequence fragments with different lengths, and constructing a heating load change curve corresponding to each time sequence fragment;
evaluating the transmission delay of the heat supply network;
the heat supply network is equivalent to a generalized energy storage system, and the maximum heat storage capacity is described according to the transmission delay of the heat supply network;
establishing a heat accumulation and release scheme of the generalized energy storage system according to the heat supply load change curves corresponding to the time sequence segments and aiming at different time sequence segments of a scheduling period, and establishing constraint conditions;
constructing a quality adjustment delay heat supply feasibility scheme solution set according to the maximum heat storage capacity, the required heat load and the real-time electric load of the cogeneration unit;
constructing a real-time heating capacity adjustment feasibility solution set corresponding to the quality adjustment delay heating feasibility solution set; and
establishing a thermoelectric system operation economy objective function according to a heat supply load change curve so as to acquire a thermoelectric cooperative regulation strategy in a current dispatching cycle;
the method for dividing the scheduling period tau into sequential combinations of time sequence fragments with different lengths and constructing the heat supply load change curve corresponding to each time sequence fragment comprises the following steps:
Q sup (t)＝f Qsup (T sup，1 (t)，P sup，1 (t)，T sup，2 (t)，P sup，2 (t)，q sup (t))；
wherein ,Qsup (t) is the heat supply of a unit at the moment t, and the unit is GJ; t (T) sup，1 (t)、T sup，2 (t) is the supply and return water temperature of the unit at the moment t respectively, and the unit is the temperature; p (P) sup，1 (t)、P sup，2 (t) is the supply and return water pressure of the unit at the moment t, and the unit is MPa; q sup (t) is the circulating water quantity of the heat supply network at the moment t, and the unit is t/k;
the method for evaluating the transmission delay of the heat supply network comprises the following steps:
the spatial transport of the heating medium in the heat network generates a time delay delta tau;
Δτ(t)＝Z delay *f delay (q sup (t)，ΔT(t))；
wherein DeltaT (T) is the difference between the temperature changes of the source side heating medium at the moment T, and the unit is DEG C; z is Z delay Is the thermal retardation coefficient;
the method for equivalently converting a heating power supply network into a generalized energy storage system and describing the maximum heat storage capacity according to the transmission delay of the power supply network comprises the following steps:
the continuous heat storage capacity of the heat supply network is described according to the transmission delay of the heat supply network, the pipe diameter of the pipeline, the total length of the pipeline and the heat preservation characteristic of the pipeline:
wherein D is the pipe diameter of the pipeline; l is the total length of the pipeline; lambda (t) is the heat preservation property of the pipeline;
the pipe insulation characteristics lambda (t) are described in terms of equivalent heat loss alpha (t):
λ(t)＝f λ(t) (α(t))；
the maximum equivalent heat accumulation mass of the heat supply network is as follows:
wherein ,mean heating pressure for M heating stations on the user side +.>And average heating temperatureThe unit of the specific enthalpy value of the lower heating medium is kJ/kg; ρ con，1 The density of the heating medium is kg/m 3 ；
The method for establishing the heat accumulation and release schemes of the generalized energy storage system according to the heat supply load change curves corresponding to the time sequence segments and aiming at different time sequence segments of a scheduling period and establishing constraint conditions comprises the following steps:
for any time segment t of the scheduling period n-1 ，t n ]Establishing a heat storage and release scheme of the generalized energy storage system:
wherein ,is [ t ] n-1 ，t n ]The heat accumulation or heat release of the time sequence segment heat supply network is GJ; alpha (t) is [ t ] n-1 ，t n ]Equivalent heat loss of the time sequence segment heat supply network; q (Q) sto (t) is the heat accumulation or release amount at the time t, and the unit is GJ; q (Q) sup (t) is the heat supply of a unit at the moment t, and the unit is GJ; w (t) is the required heat load of the heating system at the moment t, and the unit is MWh;
wherein w (t) m The unit is MWh for the required heat load of the mth heating station;
T con，1 (t)、T con，2 (t) is the temperature of water supply and return of the mth heating power station at the moment t, and the unit is the temperature;
P con，1 (t)、P con，2 (t) is the supply and return water pressure of the mth heating power station at the moment t, and the unit is MPa;
q con (t) is the water supply amount of the mth heating station at the t moment, and the unit is t/h;
the constraint conditions include:
wherein ,Qsup (t) min 、Q sup (t) max The unit is GJ, which is the minimum heat supply amount and the maximum heat supply amount which can be provided by the unit at the moment t;the unit is MWh for the total required heat load of the heating system in the dispatching period tau; c (C) con The method comprises the steps of (1) predicting a total amount of required heat load under a scheduling period tau considering outdoor temperature change and building structure difference;
the method for solving the delayed heat supply feasibility scheme according to the maximum heat storage capacity, the required heat load and the real-time electric load construction quality adjustment of the cogeneration unit comprises the following steps:
according to the maximum heat storage capacity Q sto (Δt) max Real-time electric load P of heat load W (t) and cogeneration unit es (T) determining the elevation DeltaT of the Source side heating temperature sup，1 (t) and duration Δt thereof qual I.e.
F qual (ΔT sup，1 (t)，Δt qual )＝f qual (P es (t)，W(t)，Q sto (Δt) max)； and
|ΔT sup，1 (t)|≤{T sup，1 max -T sup，1 min ，δ}；
wherein ,Tsup，1 max 、T sup，1 min The upper and lower limits of the water supply temperature of the heat supply network are respectively set, and the unit is DEG C; delta is a device climbing constraint parameter for ensuring normal operation of the unit;
n time sequence fragments with different lengths and facing to scheduling period tau regulate temperature variable delta T according to quality sup，1(n) And its duration deltat qual(n) Is used for establishing a quality adjustment delay heat supply feasibility scheme solution set facing to a scheduling period tau
The method for constructing the real-time heating capacity adjustment feasibility solution set corresponding to the quality adjustment delay heating feasibility solution set comprises the following steps:
in the non-plasma regulatory effective region [0, t dealy.1 ]Variation delta q of heat medium transport flow sup (t) duration at New flow Condition Δt quan By the thermal load w (t) demanded by the respective user or station m Elevation of Source side heating temperature DeltaT sup，1 (t), and pump, valve real-time operating characteristics ζ pum (t)、ξ val (t) determining:
effective action region of in-vitro quality regulation [ t ] dealy.1 ，τ]Variation delta q of heat medium transport flow sup (t) duration at New flow Condition Δt quan By the thermal load w (t) demanded by the respective user or station m Elevation of Source side heating temperature DeltaT sup，1 (t), and pump, valve real-time operating characteristics ζ pum (t)、ξ val (t) determining:
the method for establishing the thermoelectric system operation economy objective function according to the heat supply load change curve so as to obtain the thermoelectric cooperative regulation strategy under the current dispatching cycle comprises the following steps:
establishing a thermoelectric system operation economy objective function according to a heating load change curve:
wherein ,Dop The power consumption cost for the operation of the equipment; d (D) fuel The fuel consumption cost of the unit;
solving an operation economy objective function of the thermoelectric system through an intelligent optimizing algorithm to obtain a thermoelectric collaborative optimization regulation and control parameter solution based on the transmission delay and the heat storage characteristic of the heat supply network:
F qua (ΔT sup，1，i ，Δt qual，i ，Δq sup，i (t)，Δt quan，i (t))；
wherein ,ΔTsup，1，i 、Δt qual，i 、Δq sup，i (t)、Δt quan，i (t) respectively representing the lifting of the source side heating temperature and the duration time under the scheme i, and the corresponding heating medium transportation flow variable quantity and the duration time under the new flow condition;
thereby obtaining the real-time heat supply scheme Q of the cogeneration unit sup，i (t) Heat storage scheme Q of generalized energy storage System sto，i (t) to construct a thermoelectric co-regulation strategy at the current scheduling period.
2. A thermoelectric cooperative regulation system for use in the thermoelectric cooperative regulation method of claim 1, comprising:
the curve construction module divides the scheduling period tau into sequential combinations of time sequence fragments with different lengths, and constructs a heat supply load change curve corresponding to each time sequence fragment;
the evaluation module is used for evaluating the transmission delay of the heat supply network;
the description module is used for equivalently converting a heat supply network into a generalized energy storage system and describing the maximum heat storage capacity according to the transmission delay of the heat supply network;
the generalized energy storage system construction module is used for establishing a heat storage and release scheme of the generalized energy storage system according to the heat supply load change curves corresponding to the time sequence segments and aiming at different time sequence segments of a scheduling period, and establishing constraint conditions;
the quality adjustment delay heat supply feasibility scheme solution set module constructs a quality adjustment delay heat supply feasibility scheme solution set according to the maximum heat storage capacity, the required heat load and the real-time electric load of the cogeneration unit;
the real-time heating capacity adjustment feasibility scheme solution set module constructs a real-time heating capacity adjustment feasibility scheme solution set corresponding to the quality adjustment delay heating feasibility scheme solution set; and
and the thermoelectric cooperative regulation strategy generation module is used for establishing an operation economy objective function of the thermoelectric system according to the heat supply load change curve so as to acquire the thermoelectric cooperative regulation strategy under the current dispatching cycle.
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Denomination of invention: A Thermal Power Collaborative Control Method and System Based on Heat Network Transmission Delay and Heat Storage Characteristics Granted publication date: 20230811 Pledgee: Bank of Nanjing Co.,Ltd. Changzhou Branch Pledgor: CHANGZHOU ENGIPOWER TECHNOLOGY CO.,LTD. Registration number: Y2024980011841 |