CN115765034A - Photo-thermal-photovoltaic-thermal power combined cooperative control method and system - Google Patents
Photo-thermal-photovoltaic-thermal power combined cooperative control method and system Download PDFInfo
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Abstract
The invention discloses a photo-thermal-photovoltaic-thermal power combined cooperative control method and system. Firstly, based on the adjustability of heating power generation and the feasibility of photo-thermal power generation-photovoltaic-thermal power combined peak regulation control, a photovoltaic heating-photovoltaic-thermal power combined peak regulation optimal control mode for accessing high-proportion new energy into a power grid is provided; secondly, dividing a photo-thermal power generation-thermal power combined peak regulation control mode into a combined peak regulation time period and other time periods according to the existence of the wind resistance and the photoelectricity; then, establishing a photo-thermal power generation combined peak regulation optimization model by taking minimum blocked wind, light and electricity as a target in a combined peak regulation period; and then, processing random constraints, solving by using an improved self-adaptive chaotic particle swarm algorithm, and finally obtaining the wind power, photovoltaic, thermal power and photo-thermal planned output in the whole time period after the photo-thermal power generation-thermal power combined peak regulation control.
Description
Technical Field
The invention relates to a photo-thermal-photovoltaic-thermal power combined cooperative control method and system, and belongs to the technical field of operation and control of power systems.
Background
At present, most of built and operated photo-thermal power stations at home and abroad are in a test operation stage, although some power stations are operated in a commercialized mode, the operation mode and the control strategy of the photo-thermal power stations are based on the optimized operation of the power stations, the power grid requirements are not considered, and the photo-thermal power stations do not participate in the power grid dispatching operation. In addition, the academic level of the photothermal power generation also lacks theoretical research on the coordination control and the optimized operation between the photothermal power generation and the photovoltaic power generation, the wind power generation and the conventional power generation. With the rapid increase of the photo-thermal access capacity, the influence of the photo-thermal access capacity on the operation of a power grid is increasingly serious, and the difficulty of power regulation and control is gradually increased. The regulation characteristics and the actual response process of various types and different configurations of photo-thermal power stations for supporting the power grid requirements, and the capability of the photo-thermal power stations for replacing conventional units in the aspects of power and electric quantity balance and stable support are required to be the problems that the photo-thermal power generation needs to pay important attention to participate in power grid dispatching control in the future, and the key of whether the large-scale photo-thermal power stations can realize safe and friendly grid connection is provided. In addition, the photo-thermal power generation is coordinated with the mature new energy power generation forms such as wind power generation and photovoltaic power generation in a high-proportion new energy sending end system, so that the optimal scheduling operation is optimized, the new energy power abandon rate is reduced, the safe and economic operation and consumption of various types of new energy power generation are promoted, and the photo-thermal power generation system has important significance for constructing a sending end comprehensive energy power system mainly based on renewable energy.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, provides a photo-thermal-photovoltaic-thermal-power combined cooperative control method and system, and solves the technical problem that the peak shaving capacity of a high-proportion new energy source accessed to a power grid is insufficient.
In order to achieve the purpose, the invention is realized by adopting the following technical scheme:
in a first aspect, the invention provides a photo-thermal-photovoltaic-thermal power combined cooperative control method, which comprises the following steps:
acquiring prediction information of a photo-thermal power-photovoltaic-thermal power combined power generation system, and establishing a photo-thermal power generation-thermal power combined peak regulation control model;
dividing the photo-thermal power generation-thermal power combined peak regulation control model into a combined peak regulation time period and other time periods according to the existence of the resistance wind and the photoelectricity;
establishing a photo-thermal power generation-photovoltaic-thermal power combined peak regulation optimization control model taking minimum blocked wind, photovoltaic and thermal power as a target in a combined peak regulation period;
converting random constraints in the photo-thermal power generation-photovoltaic-thermal power combined peak regulation optimization control model into deterministic constraints;
solving by adopting an improved self-adaptive chaotic particle swarm algorithm, and solving a combined peak regulation time interval optimization control model to obtain wind power, photovoltaic and thermal power and photo-thermal planned output of the combined peak regulation time interval;
and calculating the planned output of wind power, photovoltaic power, thermal power and photo-thermal power at other time intervals, thereby obtaining the planned output of the wind power, the photovoltaic power, the thermal power and the photo-thermal power at all time intervals, and performing cooperative control according to the planned output.
Further, the prediction information of the photo-thermal-photovoltaic-thermal power combined generation system comprises: wind power, photovoltaic and photothermal power prediction and planned output information, thermal power planned output, system load prediction information and photothermal power generation and thermal power regulation constraint information.
Further, the photo-thermal power generation-photovoltaic-thermal power combined peak regulation control mode is divided into a combined peak regulation time interval and other time intervals, wherein the combined peak regulation time interval is defined as follows:
comparing wind, light and electricity to predict output
Planned wind and photovoltaic output
Will satisfy the inequality
Is defined as a "joint peak shaving" period, denoted as T 1 。
Further, the photo-thermal power generation-photovoltaic-thermal power combined peak regulation control mode is divided into a combined peak regulation time period and other time periods, and the definition of the other peak regulation time periods is as follows:
and defining the time periods except the combined peak regulation time period as other time periods, and not carrying out the photothermal power generation-thermal power combined peak regulation optimization control in other time periods.
Further, the optimization target of the photo-thermal power generation-photovoltaic-thermal power combined peak regulation optimization control model is described as the minimum blocked wind and light electric quantity, and is represented as:
wherein the content of the first and second substances,
predicted output and planned output of the wind power plant at the moment i at t;
the predicted output and the planned output of the photovoltaic power station at the moment j at t are obtained;
respectively predicting output confidence levels of the wind power plant i and the photovoltaic power plant j at the time t; n is a radical of TH 、N W 、N P 、N CSP The number of thermal power generating units, wind power plants, photovoltaic power stations and photo-thermal power stations;
the planned output of the photo-thermal power station n at the time t is obtained;
the planned output of the load at the time t is obtained; delta T is unit scheduling time;
the planned output of the thermal power generating unit m at the time t is provided;
respectively the maximum active power and the minimum active power of the thermal power generating unit m;
respectively serving as positive and negative rotation standby needed by the system load prediction error at the moment t;
respectively serving as positive and negative rotation standby for dealing with the prediction error of the wind turbine generator at the time t; e is the expected value of the event;
respectively rotating positively and negatively for standby at the moment t, wherein the positive and negative rotation is required for dealing with the prediction error of the photovoltaic unit;
respectively providing technical output of the wind power plant i and the photovoltaic power plant j at the moment t;
actual output of the wind power plant i and the photovoltaic power plant j at the moment t respectively;
the upper limit of the climbing speed of the thermal power generating unit m and the upper limit of the climbing speed of the thermal power generating unit m are respectively set; rho 1 、ρ 2 Respectively wind power and photovoltaic probabilityA beam confidence level; p W,i,max Installing capacity for a wind power plant i; p is P,j,max Installing capacity for a photovoltaic power station j; pr (-) is the probability that the event holds; p CSP,n,max 、P CSP,n,min The upper limit and the lower limit of the n power of the photo-thermal power station are respectively set; p is CSP,n,up 、P CSP,n,down The maximum value and the minimum value of the n-grade power of the photo-thermal power station are respectively;
the heat storage capacity of the photo-thermal power station n at the time t; q CSP,n,min The minimum heat storage quantity of the n heat storage system of the photo-thermal power station is stored; t is a unit of CSP,n The number of hours of load operation of the photothermal power station n; k is a connecting line number, P' tk For the desired activity of the tie-line k, P tk Is the real-time active power of the link k, Δ P tk As active regulating quantity of the tie-line k, P tk,max Is the active limit of the tie line k; delta P l,j For the active regulating variable, Δ P, of the photovoltaic farm j in relation to the tie line k l,i For the active regulating variable, Δ P, of the wind farm i in relation to the link k l,n Is the active regulating variable of the photothermal power station n associated with the link k;
the meaning of the objective function is: the blocked wind and light electricity quantity is minimum;
constraint conditions are as follows: the first constraint expresses a power balance constraint; the second constraint condition expresses a system rotation standby constraint; the third constraint expression is the upper and lower limit constraint of the output power of the thermal power generating unit; the fourth constraint expresses the climbing rate constraint of the thermal power generating unit; the fifth constraint expresses wind power and photovoltaic operation constraints; the sixth constraint expression is the upper and lower power limit constraint of the photo-thermal power station; the seventh constraint expression is the climbing power upper and lower limit constraint of the photo-thermal power station; the eighth constraint expresses the upper and lower limit constraints of the heat storage capacity of the heat storage system; the ninth constraint expresses the tie-line power balance constraint.
Further, converting random constraints in the photothermal power generation-photovoltaic-thermal power combined peak regulation optimization control model into deterministic constraints, including:
order to
The conditions of the system rotation standby constraint in constraint conditional expression (1) can be expected to be converted into:
wherein the content of the first and second substances,
are respectively as
A probability density function of (a);
the system rotation standby constraint may be converted to:
the cumulative probability distribution function of the actual wind power output distribution is F w The cumulative probability distribution function of the photovoltaic output distribution is F p And the operation constraints of the wind power and photovoltaic generator set in the formula (1) can be converted into:
equation (4) can be converted to deterministic constraints:
further, adopt to improve the chaotic particle swarm algorithm of self-adaptation and solve, solve "joint peak regulation" time interval optimization control model, reach the wind-powered electricity generation, photovoltaic and thermoelectricity and the light and heat plan of "joint peak regulation" time interval and exert oneself, include:
production initialization population
Each individual in the population represents a group of control variables, including photo-thermal planned output, wind power plant planned output, photovoltaic power plant planned output and thermal power plant planned output;
calculating and recording the current optimal position of each particle and the global optimal positions of all the particles;
an updating step, comprising: updating the position and velocity of each particle;
carrying out chaotic search on the particles, and updating the current optimal position of each particle and the global optimal positions of all the particles;
calculating the evolutionary degree lambda of the search, and updating the weight and the speed;
if the maximum iteration times are reached, stopping searching, and outputting the minimum blocked wind and light electric quantity and the corresponding planned output of the thermal power generating unit, the photo-thermal unit and the wind and light electric unit; if the maximum iteration times are not reached, the updating step is carried out to continue optimizing.
In a second aspect, the invention provides a photo-thermal-photovoltaic-thermal power combined cooperative control system, comprising:
the first model establishing module is used for acquiring the prediction information of the photo-thermal-photovoltaic-thermal power combined power generation system and establishing a photo-thermal power generation-thermal power combined peak regulation control model;
the division module is used for dividing the photo-thermal power generation-thermal power combined peak regulation control model into a combined peak regulation time period and other time periods according to the existence of the wind resistance and the photoelectricity;
the second model establishing module is used for establishing a photo-thermal power generation-photovoltaic-thermal power combined peak regulation optimization control model taking minimum blocked wind, photovoltaic and thermal power as a target in a combined peak regulation period;
the conversion module is used for converting random constraints in the photothermal power generation-photovoltaic-thermal power combined peak regulation optimization control model into deterministic constraints;
the calculation module is used for solving by adopting an improved self-adaptive chaotic particle swarm algorithm and solving a combined peak regulation time interval optimization control model to obtain the wind power, photovoltaic and thermal power and photo-thermal planned output of the combined peak regulation time interval;
and the calculation and control module is used for calculating the planned output of wind power, photovoltaic power, thermal power and light and heat in other time periods, so that the planned output of the wind power, the photovoltaic power, the thermal power and the light and heat in all time periods is obtained, and accordingly, the cooperative control is performed.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a photo-thermal-photovoltaic-thermal power combined cooperative control method and system, aiming at the control of a photo-thermal power generation-photovoltaic-thermal power combined system for accessing high-proportion new energy into a power grid, and adopting a time-interval-division optimization strategy. Inputting wind power, photovoltaic and photo-thermal power prediction and planned output information, thermal power planned output, system load prediction information and photo-thermal power generation and thermal power regulation constraint information; dividing a photo-thermal power generation-thermal power combined peak regulation control mode into a combined peak regulation time period and other time periods according to the existence of the resistance wind and the photoelectricity; based on a photothermal power generation-photovoltaic-thermal power combined peak regulation control mode, providing a photothermal power generation-photovoltaic-thermal power combined peak regulation optimization control method taking minimum system blocked wind, light and electricity as a target; random constraints in the photothermal power generation-photovoltaic-thermal power combined peak regulation optimization control method are converted into deterministic constraints, an improved adaptive chaotic particle swarm algorithm is adopted for solving, and finally wind power, photovoltaic, thermal power and photothermal planned output of the whole time period after photothermal power generation-photovoltaic-thermal power combined peak regulation control is obtained, so that the maximum reduction of the blocked wind and the photovoltaic is realized.
Drawings
Fig. 1 is a flowchart of a photothermal-photovoltaic-thermal power combined cooperative control method provided in an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a photothermal-photovoltaic-thermal power combined cooperative control method provided by an embodiment of the present invention;
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Example 1
The embodiment introduces a photo-thermal-photovoltaic-thermal power combined cooperative control method, which includes:
acquiring prediction information of a photo-thermal power-photovoltaic-thermal power combined power generation system, and establishing a photo-thermal power generation-thermal power combined peak regulation control model;
dividing the photo-thermal power generation-thermal power combined peak regulation control model into a combined peak regulation time period and other time periods according to the existence of the resistance wind and the photoelectricity;
establishing a photo-thermal power generation-photovoltaic-thermal power combined peak regulation optimization control model taking minimum blocked wind, light and electricity as a target in a combined peak regulation period;
converting random constraints in the photo-thermal power generation-photovoltaic-thermal power combined peak regulation optimization control model into deterministic constraints;
solving by adopting an improved self-adaptive chaotic particle swarm algorithm, and solving a combined peak regulation time interval optimization control model to obtain the wind power, photovoltaic and thermal power and photo-thermal planned output of the combined peak regulation time interval;
and calculating the planned output of the wind power, the photovoltaic power, the thermal power and the photo-thermal power at other time intervals, thereby obtaining the planned output of the wind power, the photovoltaic power, the thermal power and the photo-thermal power at the whole time interval and carrying out cooperative control according to the planned output.
The application process of the photo-thermal-photovoltaic-thermal power combined cooperative control method provided by the embodiment specifically relates to the following steps:
step 1: inputting wind power, photovoltaic and photothermal power prediction and planned output information, thermal power planned output, system load prediction information and thermal power generation and thermal power regulation constraint information;
and 2, step: dividing the photo-thermal power generation combined peak regulation control mode into a combined peak regulation time period and other time periods according to the existence of the resistance wind and the photoelectricity, as shown in figure 2;
and 3, step 3: based on a photo-thermal power generation-photovoltaic-thermal power combined peak regulation control mode, a photo-thermal power generation-photovoltaic-thermal power combined peak regulation optimization control method with minimum system blocked wind, light and electricity as a target is provided. The optimization target of the photothermal power generation-photovoltaic-thermal power combined peak regulation optimization control model is described as the minimum blocked wind and light electric quantity:
wherein, the first and the second end of the pipe are connected with each other,
predicted output and planned output of the wind power plant at the moment i at t;
the predicted output and the planned output of the photovoltaic power station at the moment j at t are obtained;
respectively predicting output confidence levels of the wind power plant i and the photovoltaic power plant j at the time t; n is a radical of hydrogen TH 、N W 、N P 、N CSP The number of thermal power generating units, wind power plants, photovoltaic power stations and photo-thermal power stations;
the planned output of the photo-thermal power station n at the time t is obtained;
the planned output of the load at the time t is obtained; delta T is unit scheduling time;
the planned output of the thermal power generating unit m at the time t is provided;
respectively the maximum active power and the minimum active power of the thermal power generating unit m;
respectively serving as positive and negative rotation standby needed by the system load prediction error at the moment t;
respectively serving as positive and negative rotation standby for dealing with the prediction error of the wind turbine generator at the time t; e is the expected value of the event;
respectively rotating positively and negatively for standby at the moment t, wherein the positive and negative rotation is required for dealing with the prediction error of the photovoltaic unit;
respectively providing technical output of the wind power plant i and the photovoltaic power plant j at the moment t;
actual output of the wind power plant i and the photovoltaic power plant j at the moment t respectively;
the upper limit of the climbing speed of the thermal power generating unit m and the upper limit of the climbing speed of the thermal power generating unit m are respectively set; rho 1 、ρ 2 Respectively representing wind power probability constraint confidence levels and photovoltaic probability constraint confidence levels; p W,i,max Installing capacity for a wind power plant i; p P,j,max Installing capacity for a photovoltaic power station j; pr (-) is the probability that the event holds; p CSP,n,max 、P CSP,n,min The upper limit and the lower limit of the n power of the photo-thermal power station are respectively set; p is CSP,n,up 、P CSP,n,down The maximum value and the minimum value of the n-grade power of the photo-thermal power station are respectively;
the heat storage capacity of the photo-thermal power station n at the time t; q CSP,n,min The minimum heat storage quantity of the n heat storage systems of the photo-thermal power station is stored; t is CSP,n The number of hours of load operation of the photothermal power station n; k is a tie line number, P' tk For the desired activity of the tie-line k, P tk For real-time activity of the tie-line k, Δ P tk As active regulating quantity of the tie-line k, P tk,max Is the active limit of the tie line k; delta P l,j For the active regulating variable, Δ P, of the photovoltaic station j in relation to the tie-line k l,i Is a connecting line withk active regulation of wind farm i, Δ P l,n Is the active regulating variable of the photothermal power station n associated with the tie k.
The meaning of the objective function is: the blocked wind and light electricity quantity is minimum.
Constraint conditions are as follows: the first constraint expresses a power balance constraint; the second constraint condition expresses a system rotation standby constraint; the third constraint expression is the thermal power unit output power upper and lower limit constraint; the fourth constraint expresses the climbing rate constraint of the thermal power generating unit; the fifth constraint expresses wind power and photovoltaic operation constraints; the sixth constraint expression is the upper and lower power limit constraint of the photo-thermal power station; the seventh constraint expression is the climbing power upper and lower limit constraint of the photothermal power station; the eighth constraint is expressed by upper and lower heat storage capacity limits of the heat storage system; the ninth constraint expresses the tie line power balance constraint.
And 4, step 4: random constraints in constraint conditions in the photo-thermal power generation-photovoltaic-thermal power combined peak regulation optimization control model are converted into deterministic constraints.
Order to
The conditions of the system rotation standby constraint in constraint conditional expression (1) can be expected to be converted into:
wherein the content of the first and second substances,
are respectively as
Is determined.
Further, the system rotation backup constraints may be converted to:
the cumulative probability distribution function of the actual wind power output distribution is F w The cumulative probability distribution function of the photovoltaic output distribution is F p And the operation constraints of the wind power and photovoltaic generator set in the formula (1) can be converted into:
further, equation (4) can be translated into deterministic constraints:
and 5: and solving the Optimization control model of the combined peak regulation time period by adopting an improved Adaptive Chaos Particle Swarm Optimization (ACPSO) to obtain the planned output of wind power, photovoltaic and thermal power in the combined peak regulation time period. The method comprises the following steps of solving a photo-thermal power generation-photovoltaic-thermal power combined peak regulation optimization model by improving an ACPSO algorithm, and comprises the following steps:
1) And (5) initializing a population. Production initialization population
Each individual in the population represents a group of control variables, including planned photothermal output, planned wind power plant output, planned photovoltaic power plant output and planned thermal power plant output.
2) And calculating the fitness. And calculating and recording the current optimal position of each particle and the global optimal positions of all the particles.
3) The position and velocity of each particle is updated.
4) And performing chaotic search on the particles, and updating the current optimal position of each particle and the global optimal positions of all the particles.
5) And calculating the evolutionary degree lambda of the search, and updating the weight and the speed.
6) If the maximum iteration times are reached, stopping searching, and outputting the minimum blocked wind and light electric quantity and the corresponding planned output of the thermal power generating unit, the photo-thermal unit and the wind and light electric unit; and if the maximum iteration times are not reached, turning to the step 3) to continue optimizing.
Aiming at the control of a photo-thermal power generation-photovoltaic-thermal power generation combined system for accessing high-proportion new energy into a power grid, the invention adopts an optimization strategy of dividing time intervals. Inputting wind power, photovoltaic and photothermal power prediction and planned output information, thermal power planned output, system load prediction information and thermal power generation and thermal power regulation constraint information; dividing a photo-thermal power generation-thermal power combined peak regulation control mode into a combined peak regulation time period and other time periods according to the existence of the resistance wind and the photoelectricity; based on a photothermal power generation-photovoltaic-thermal power combined peak regulation control mode, providing a photothermal power generation-photovoltaic-thermal power combined peak regulation optimization control method taking minimum system blocked wind, light and electricity as a target; random constraints in the photo-thermal power generation-photovoltaic-thermal power combined peak regulation Optimization control method are converted into deterministic constraints, an improved Adaptive Chaotic Particle Swarm Algorithm (ACPSO) is adopted for solving, and finally wind power, photovoltaic, thermal power and photo-thermal planned output at all time intervals after photo-thermal power generation-photovoltaic-thermal power combined peak regulation control is obtained, so that the maximum reduction of blocked wind power and photoelectric power is realized.
Example 2
The embodiment provides a light and heat-photovoltaic-thermoelectricity combined cooperative control system, includes:
the first model building module is used for obtaining the prediction information of the photo-thermal-photovoltaic-thermal power combined power generation system and building the photo-thermal power generation-thermal power combined peak regulation control model;
the division module is used for dividing the photo-thermal power generation-thermal power combined peak regulation control model into a combined peak regulation time period and other time periods according to the existence of the wind resistance and the photoelectricity;
the second model establishing module is used for establishing a photo-thermal power generation-photovoltaic-thermal power combined peak regulation optimization control model taking minimum blocked wind, photovoltaic and thermal power as a target in a combined peak regulation period;
the conversion module is used for converting random constraints in the photothermal power generation-photovoltaic-thermal power combined peak regulation optimization control model into deterministic constraints;
the calculation module is used for solving by adopting an improved self-adaptive chaotic particle swarm algorithm and solving a combined peak regulation time interval optimization control model to obtain the wind power, photovoltaic and thermal power and photo-thermal planned output of the combined peak regulation time interval;
and the calculation and control module calculates the planned output of wind power, photovoltaic power, thermal power and photo-thermal power at other time intervals, so that the planned output of the wind power, the photovoltaic power, the thermal power and the photo-thermal power at all time intervals is obtained, and accordingly, cooperative control is performed.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (8)
1. A photo-thermal-photovoltaic-thermal power combined cooperative control method is characterized by comprising the following steps:
acquiring prediction information of a photo-thermal power-photovoltaic-thermal power combined power generation system, and establishing a photo-thermal power generation-thermal power combined peak regulation control model;
dividing the photo-thermal power generation combined peak regulation control model into a combined peak regulation time interval and other time intervals according to the existence of the resistance wind and the resistance light;
establishing a photo-thermal power generation-photovoltaic-thermal power combined peak regulation optimization control model taking minimum blocked wind, photovoltaic and thermal power as a target in a combined peak regulation period;
converting random constraints in the photo-thermal power generation-photovoltaic-thermal power combined peak regulation optimization control model into deterministic constraints;
solving by adopting an improved self-adaptive chaotic particle swarm algorithm, and solving a combined peak regulation time interval optimization control model to obtain the wind power, photovoltaic and thermal power and photo-thermal planned output of the combined peak regulation time interval;
and calculating the planned output of the wind power, the photovoltaic power, the thermal power and the photo-thermal power at other time intervals, thereby obtaining the planned output of the wind power, the photovoltaic power, the thermal power and the photo-thermal power at the whole time interval and carrying out cooperative control according to the planned output.
2. The photo-thermal-photovoltaic-thermal power combined cooperative control method according to claim 1, wherein the photo-thermal-photovoltaic-thermal power combined power generation system prediction information includes: the method comprises the following steps of wind power, photovoltaic power and photo-thermal power prediction and planned output information, thermal power planned output, system load prediction information and photo-thermal power generation and thermal power regulation constraint information.
3. The photo-thermal-photovoltaic-thermal power combined cooperative control method according to claim 1, wherein the photo-thermal power generation-photovoltaic-thermal power combined peak shaving control mode is divided into a "combined peak shaving" period defined as:
comparing wind, light and electricity to predict output
Planned wind and photovoltaic output
Will satisfy the inequality
Is defined as a "joint peak shaving" period, denoted as T 1 。
4. The photo-thermal-photovoltaic-thermal-power combined cooperative control method according to claim 1, wherein the photo-thermal power generation-photovoltaic-thermal-power combined peak regulation control mode is divided into a "combined peak regulation" period and other periods, and the "other peak regulation" period is defined as:
and defining the time periods except the combined peak regulation time period as other time periods, and not carrying out the photothermal power generation-thermal power combined peak regulation optimization control in other time periods.
5. The photo-thermal-photovoltaic-thermal power combined cooperative control method according to claim 1, wherein the optimization objective of the photo-thermal power generation-photovoltaic-thermal power combined peak regulation optimization control model is described as minimum blocked wind and light electricity, and is expressed as:
wherein the content of the first and second substances,
predicted output and planned output of the wind power plant at the moment i at t;
the predicted output and the planned output of the photovoltaic power station at the moment j at t are obtained;
respectively predicting output confidence levels of the wind power plant i and the photovoltaic power plant j at the time t; n is a radical of TH 、N W 、N P 、N CSP The number of thermal power generating units, wind power plants, photovoltaic power stations and photo-thermal power stations;
the planned output of the photo-thermal power station n at the time t is obtained;
the planned output of the load at the time t is obtained; delta T is unit scheduling time;
the planned output of the thermal power generating unit m at the time t is obtained;
respectively the maximum active power and the minimum active power of the thermal power generating unit m;
respectively serving as positive and negative rotation standby for coping with system load prediction errors at the time t;
respectively keeping the positive rotation and the negative rotation required by the prediction error of the wind turbine generator at the time t for standby; e is the expected value of the event;
respectively rotating positively and negatively for standby at the moment t, wherein the positive and negative rotation is required for dealing with the prediction error of the photovoltaic unit;
respectively providing technical output of the wind power plant i and the photovoltaic power plant j at the moment t;
actual output of the wind power plant i and the photovoltaic power plant j at the moment t respectively;
the upper limit of the climbing speed of the thermal power generating unit m and the upper limit of the climbing speed of the thermal power generating unit m are respectively set; rho 1 、ρ 2 Respectively representing wind power probability constraint confidence levels and photovoltaic probability constraint confidence levels; p is W,i,max Installing capacity for a wind power plant i; p P,j,max Installing capacity for the photovoltaic power station j; pr (-) is the probability that the event holds; p is CSP,n,max 、P CSP,n,min The upper limit and the lower limit of n power of the photo-thermal power station are respectively set; p is CSP,n,up 、P CSP,n,down The maximum value and the minimum value of the n-grade power of the photo-thermal power station are respectively;
the heat storage amount of the photo-thermal power station n at the time t; q CSP,n,min The minimum heat storage quantity of the n heat storage systems of the photo-thermal power station is stored; t is CSP,n Negative of photothermal power station nHours of load operation; k is a tie mark, P t ' k For the desired activity of the tie-line k, P tk Is the real-time active power of the link k, Δ P tk As active regulating quantity of the tie-line k, P tk,max Is the active limit of the tie line k; delta P l,j For the active regulating variable, Δ P, of the photovoltaic station j in relation to the tie-line k l,i For the active adjustment of the wind farm i relative to the tie-line k, Δ P l,n Is the active regulating variable of the photothermal power station n associated with the tie line k;
the meaning of the objective function is: the blocked wind and light electric quantity is minimum;
constraint conditions are as follows: the first constraint expresses a power balance constraint; the second constraint condition expresses a system rotation standby constraint; the third constraint expression is the thermal power unit output power upper and lower limit constraint; the fourth constraint expression is the climbing rate constraint of the thermal power generating unit; the fifth constraint expresses wind power and photovoltaic operation constraints; the sixth constraint expression is the upper and lower power limit constraint of the photo-thermal power station; the seventh constraint expression is the climbing power upper and lower limit constraint of the photo-thermal power station; the eighth constraint is expressed by upper and lower heat storage capacity limits of the heat storage system; the ninth constraint expresses the tie line power balance constraint.
6. The photo-thermal-photovoltaic-thermal power combined cooperative control method according to claim 5, wherein the converting of random constraints into deterministic constraints in the photo-thermal power generation-photovoltaic-thermal power combined peak regulation optimization control model comprises:
order to
The conditions of the system rotation standby constraint in constraint conditional expression (1) can be expected to be converted into:
wherein the content of the first and second substances,
are respectively as
A probability density function of (a);
the system rotation backup constraints may be converted into:
the cumulative probability distribution function of the actual wind power output distribution is F w The cumulative probability distribution function of the photovoltaic output distribution is F p And the operation constraints of the wind power and photovoltaic generator set in the formula (1) can be converted into:
equation (4) can be converted to deterministic constraints:
7. the photo-thermal-photovoltaic-thermal power combined cooperative control method according to claim 5, wherein the solving is performed by adopting an improved adaptive chaotic particle swarm algorithm, and the optimal control model of the combined peak regulation time interval is solved to obtain the planned output of wind power, photovoltaic, thermal power and photo-thermal power in the combined peak regulation time interval, and the method comprises the following steps:
production initialization population
Each individual in the population represents a group of control variables, including photo-thermal planned output, wind power plant planned output, photovoltaic power plant planned output and thermal power plant planned output;
calculating and recording the current optimal position of each particle and the global optimal positions of all the particles;
an updating step, comprising: updating the position and velocity of each particle;
carrying out chaotic search on the particles, and updating the current optimal position of each particle and the global optimal positions of all the particles;
calculating the evolutionary degree lambda of the search, and updating the weight and the speed;
if the maximum iteration times are reached, stopping searching, and outputting the minimum blocked wind and light electric quantity and the corresponding planned output of the thermal power generating unit, the photo-thermal unit and the wind and light electric unit; if the maximum iteration times are not reached, the updating step is carried out to continue optimizing.
8. The utility model provides a light and heat-photovoltaic-thermoelectricity combined cooperative control system which characterized in that includes:
the first model establishing module is used for acquiring the prediction information of the photo-thermal-photovoltaic-thermal power combined power generation system and establishing a photo-thermal power generation-thermal power combined peak regulation control model;
the division module is used for dividing the photo-thermal power generation-thermal power combined peak regulation control model into a combined peak regulation time period and other time periods according to the existence of the wind resistance and the photoelectricity;
the second model establishing module is used for establishing a photo-thermal power generation-photovoltaic-thermal power combined peak regulation optimization control model taking minimum blocked wind, light and electricity as a target in a combined peak regulation time period;
the conversion module is used for converting random constraints in the photothermal power generation-photovoltaic-thermal power combined peak regulation optimization control model into deterministic constraints;
the calculation module is used for solving by adopting an improved self-adaptive chaotic particle swarm algorithm, solving the combined peak regulation time interval optimization control model and obtaining the wind power, photovoltaic and thermal power and photo-thermal planned output of the combined peak regulation time interval;
and the calculation and control module calculates the planned output of wind power, photovoltaic power, thermal power and photo-thermal power at other time intervals, so that the planned output of the wind power, the photovoltaic power, the thermal power and the photo-thermal power at all time intervals is obtained, and accordingly, cooperative control is performed.
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| CN108256670A (en) * | 2017-12-22 | 2018-07-06 | 甘肃省电力公司风电技术中心 | Photo-thermal power generation and thermoelectricity unit combined adjusting peak Optimized model based on cogeneration of heat and power |
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| CN108256670A (en) * | 2017-12-22 | 2018-07-06 | 甘肃省电力公司风电技术中心 | Photo-thermal power generation and thermoelectricity unit combined adjusting peak Optimized model based on cogeneration of heat and power |
| CN108256670B (en) * | 2017-12-22 | 2023-07-18 | 甘肃省电力公司风电技术中心 | Combined peak regulation optimization model of photo-thermal power generation and thermoelectric unit based on cogeneration |
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