CN114123335B - Wind power consumption method by jointly considering OTS and DLR models - Google Patents
Wind power consumption method by jointly considering OTS and DLR models Download PDFInfo
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Abstract
The invention discloses a wind power consumption method by jointly considering an OTS (on-the-fly) model and a DLR (digital living random) model, which comprises the steps of preprocessing collected power distribution grid frame information, and updating and determining a line operation limit value in real time through a dynamic line power flow limit model based on the preprocessed information; the influence of weather factors on line limits is considered through a dynamic line power flow limit model, line operation limit values are updated and determined in real time, so that a result is more accurate and has referential, and a second-stage direct current power flow optimal line breaking model is constructed; the dynamic line current limit model and the second-stage direct current optimal line breaking model are combined through the two-stage random unit combined framework, inherent flexibility of the system can be fully invoked to help wind power absorption on the premise that a new infrastructure is not built, the problem of line blockage is solved, the wind power utilization rate is improved, and the optimal, safe and reliable operation of the power system is realized.
Description
Technical Field
The invention relates to the technical field of power systems, in particular to a wind power consumption method by jointly considering OTS and DLR models.
Background
In recent years, wind power generation is rapidly increasing due to environmental protection and lower production cost; the infiltration of large-scale wind power resources has various benefits, but uncertainty and variability of wind power output bring difficulty to the huge integration of wind resources and a power grid, and simultaneously bring threat to the safe and stable operation of the power grid; the improvement of the renewable energy power generation permeability also causes network congestion, further increases the power generation cost and restricts the large-scale integration of renewable energy resources.
At present, one solution to relieve system congestion and promote wind resource integration is to build a new transmission line, but building a new infrastructure is quite expensive and time-consuming, which would impair the social and economic benefits obtained by implementing wind power generation; therefore, a wind power consumption method for jointly considering the optimal line break and the dynamic line power flow limit model is urgently needed to solve the problems.
Disclosure of Invention
The invention provides a wind power consumption method by jointly considering OTS and DLR models, which can help new energy consumption by utilizing inherent flexibility of a system without additionally constructing new infrastructure so as to solve the problems in the prior art.
In order to achieve the above purpose, the present invention provides the following technical solutions: a wind power consumption method by jointly considering OTS and DLR models comprises the following steps:
s1, preprocessing collected power distribution grid frame information, including classifying the information and predicting future weather states and electricity consumption;
s2, based on the preprocessed information, updating and determining a line operation limit value in real time through a dynamic line tide limit model;
s3, under the condition that line break is not considered, a first-stage generator set output decision model is established, and a second-stage direct current power flow optimal line break model is established by taking a first-stage decision value as a hot start input;
and S4, optimizing the system operation cost, network blocking and wind power consumption performance by combining the dynamic line current limit model and the second-stage direct current optimal line breaking model through a two-stage random unit combination frame.
Preferably, in step S1, the information is classified into transmission line information, and the transmission line information is classified into an openable line and an unopeneable line, a candidate line selection for a disconnection operation is determined, and a future weather state and a power consumption amount are predicted by using the acquired historical weather information and load power consumption data.
Preferably, in step S2, the line operation limit value formula is updated in real time as follows:
wherein ,update value for dynamic line limit between lines ij, < > for line ij>For static line limit values between lines ij, LIR ij Representing the improvement rate between the lines ij; i max,DLR Representing dynamic line current limit values between lines ij; i max,SLR Representing the quiescent line current limit between lines ij.
Preferably, the current calculation formula of the wire is:
wherein ,Iij Is the current between the wires ij; r (T) ij ) Representative temperature is T ij The ac resistance of conductor ij per kilometer,joule heat generated between the wires ij; />Solar heat increment between the wires ij; />Is convective heat loss between the wires ij; />Heat loss is radiated between the wires ij.
Preferably, the optimization objective function of the output decision model of the generator set in the first stage is as follows:
wherein ,G1 Optimizing a set of units for a first stage; t is an optimized time period;representing the cost of the unit g in the idle state; />The starting and stopping cost of the unit g; u (u) g,t A state variable which is the unit g and is on or off in a period t; y is g,t Is a variable of whether the unit g is turned on in the period t.
Preferably, the construction of the first-stage constraint condition for the optimization objective function of the first-stage generator set output decision model includes:
system power balance constraint:
operation limit range of conventional generator:
line power flow restriction:
the generator set opening variable and the set combination variable are connected and constrained:
wherein ,Pg,t Generating power of the traditional generator set g in a period t;P w,t the output of the wind generating set g in a period t; f (f) ij,t For the power flowing to i by node j during period t, k (i) is the set of nodes connected to i; f (f) qi,t Power flowing to q for node i during period t; d (D) i,t The power demand for node i during period t;representing the minimum and maximum output limits of the unit g respectively; />A power flow limit representing the line ij during a period t;
and (3) up-down climbing rate constraint of the unit:
wherein ,positive and negative rotation standby power planned by the unit g in a period t are respectively provided;the maximum and minimum rotation standby power value of the unit g is set; SR (SR) g,t Rotating the spare net value for the unit g in a period t;a minimum rotation reserve value required for the period t; RR (RR) g The climbing rate of the unit g;
minimum on-time constraint:
minimum off-time constraint:
wherein ,minimum on/off time for the unit g.
Preferably, the optimization objective function of the second stage direct current power flow optimal line breaking model is:
s is a scene set; pi Ω Probability of being scene Ω; g 2 Optimizing a set of units for the second stage;the production cost is the unit g of the unit; p (P) g,t,Ω 、/>The generating capacity of the traditional generator set g and the wind generating set w at time t in the omega scene is set; w is a wind generating set; c (C) WC To stabilize the wind power output fluctuation cost; n is a network node set; VOLL (video on all) i,t Load-shedding for node i at time tLoss is reduced; l (L) i,t,Ω The load loss of the node i at time t in the omega scene is shown.
Preferably, a second-stage constraint condition is constructed for an optimization objective function of a second-stage direct current optimal line breaking model:
shi Guzhang rate and service constraints:
wherein ,hg,t,Ω 、h w,t,Ω 、h ij,t,Ω Representing the health states of the generator, the wind turbine and the transmission line respectively, and setting corresponding parameters to 0 to limit the output of active power when the facility cannot supply power under maintenance or fault;switchable and non-switchable line power flow of line ij at time t in omega scenario, respectively +.>The electricity consumption requirement of the node i at the time t is known in the omega scene;
constraints that ensure that the line remains in only one state per time period:
wherein , wherein ：the binary states of the line ij in the omega scene are respectively represented by cut-off at time t, static power flow limit and dynamic power flow limit; when the line is in the cut-off state, the switch is in the form of a switch>When using the static tide limit +.>When under favorable high wind conditions, the actual line limit value is larger than the static tideLimit (S)/(S)>
Flow restriction on switchable lines:
wherein ,a maximum static power flow limit value for the line ij; delta i,t,Ω 、δ j,t,Ω Respectively representing voltage angles of nodes i and j at time t under an omega scene; x is x ij The reactance value of the line ij; when->When the power flow on the line is 0; when (when)When the line power flow meets the flow restriction formula on the switchable line; the kirchhoff current law in a modified form is adopted to ensure that the flow through the line is 0 no matter the voltage angle between the nodes when the line is cut off;B ij a susceptance value for the line ij;
constraint when line power cannot be cut off:
preferably, the rotational back-up adjustment constraint for each scene:
associating first and second phase rotation standby plans with constraints:
wherein ,a standby planning value for positive and negative rotation in the first stage; />The standby deployment value is rotated positively and negatively for the second stage; and the rotation reserve value planned in the first stage should be sufficient to prevent load shedding; the rotational redundancy value of the second stage can only be provided by non-faulty devices.
Preferably, the generator for each manufacturer has:
generator climbing constraint:
climbing time constraint:
and ,
wind force reduction constraint:
switching operation times and adopting dynamic tide limit times constraint:
constraint for preventing occurrence of network islanding:
binary state variable constraints:
compared with the prior art, the invention has the beneficial effects that: according to the invention, the influence of weather factors on line limits is considered through the dynamic line power flow limit model, the line operation limit value is updated and determined in real time, so that a result is more accurate and has referential, and the two-stage random unit combined frame is utilized to combine the dynamic line power flow limit model and the second-stage direct current power flow optimal line breaking model, so that the inherent flexibility of the system can be fully invoked to help wind power absorption without building a new infrastructure, the line blocking problem is relieved, the wind power utilization rate is improved, and the optimal, safe and reliable operation of the power system is realized.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention.
In the drawings:
FIG. 1 is a flow chart of a wind power consumption method of the present invention;
FIG. 2 is a flow chart of a two-stage stochastic set combination model solution of the present invention combining DLR and OTS.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Examples: 1-2, a wind power consumption method by jointly considering OTS and DLR models comprises the following steps:
s1, preprocessing collected power distribution grid frame information, including classifying the information and predicting future weather states and electricity consumption;
the method comprises the steps of classifying information, namely, acquiring power transmission line information, classifying the power transmission line information into an openable line and an unopened line, determining candidate line selection for cutting action, and predicting future weather states and power consumption by using the acquired historical weather information and load power consumption data;
s2, based on the preprocessed information, updating and determining a line operation limit value in real time through a dynamic line current limit (DLR) model;
the rated value of the power transmission line is determined by technical standards proposed by different international organizations, the invention adopts the IEEE Std.738 standard, and the influence of different weather on the limit value of the line is considered, and the formula of the limit value of the line operation is updated in real time as follows:
according to the IEEE std.738 standard, the thermal equilibrium equation is used: wherein ,/>Joule heat generated between the wires ij; />Solar heat increment between the wires ij; />Is convective heat loss between the wires ij; />Radiating heat loss between the wires ij;
after deformation, the current calculation formula of the lead is as follows:
wherein ,Iij Is the current between the wires ij; r (T) ij ) Representative temperature is T ij An alternating current resistance of each kilometer of the conducting wire ij;
calculating the dynamic capacity of the power transmission line by using a dynamic line power flow limit model based on the weather information predicted in the step one:
wherein ,update value for dynamic line limit between lines ij, < > for line ij>Is a static circuit between the circuits ijLimit value, LIR ij Representing the improvement rate between the lines ij; i max,DLR Representing dynamic line current limit values between lines ij; i max,SLR Representing the quiescent line current limit between lines ij;
s3, under the condition that line break is not considered, a first-stage generator set output decision model is established, a first-stage decision value is used as a hot start input, and a second-stage direct current power flow optimal line break (OTS) model is established;
(1) The method comprises the steps of constructing a first-stage generator set output decision model to optimize an objective function as follows:
wherein ,G1 Optimizing a set of units for a first stage; t is an optimized time period;representing the cost of the unit g in the idle state; />The starting and stopping cost of the unit g; u (u) g,t A state variable which is the unit g and is on or off in a period t; y is g,t A variable which is whether the unit g is started in a period t;
(2) Constructing a first-stage constraint condition for optimizing an objective function of a first-stage generator set output decision model, comprising:
system power balance constraint:
operation limit range of conventional generator:
line power flow restriction:
the generator set opening variable and the set combination variable are connected and constrained:
wherein ,Pg,t Generating power of the traditional generator set g in a period t; p (P) w,t The output of the wind generating set g in a period t; f (f) ij,t For the power flowing to i by node j during period t, k (i) is the set of nodes connected to i; f (f) qi,t Power flowing to q for node i during period t; d (D) i,t The power demand for node i during period t;representing the minimum and maximum output limits of the unit g respectively; />A power flow limit representing the line ij during a period t;
and (3) up-down climbing rate constraint of the unit:
wherein ,positive and negative rotation standby power planned by the unit g in a period t are respectively provided;the maximum and minimum rotation standby power value of the unit g is set; SR (SR) g,t Rotating the spare net value for the unit g in a period t;a minimum rotation reserve value required for the period t; RR (RR) g The climbing rate of the unit g;
minimum on-time constraint:
minimum off-time constraint:
wherein ,minimum on/off time for unit g;
s4, optimizing the running cost, network blocking and wind power consumption performance of the system by combining a dynamic line current limit model and a second-stage direct current optimal line breaking model through a two-stage random unit combination (SUC) framework, wherein the stage is used for responding by considering wind power output uncertainty, and optimizing the state of a generator set, rotary standby and line state;
(1) Comprehensively considering the system operation cost, network blocking and wind power consumption to construct a second-stage optimization objective function:
s is a scene set; pi Ω Probability of being scene Ω; g 2 Optimizing a set of units for the second stage;the production cost is the unit g of the unit; p (P) g,t,Ω 、/>The generating capacity of the traditional generator set g and the wind generating set w at time t in the omega scene is set; w is a wind generating set; c (C) WC To stabilize the wind power output fluctuation cost; n is a network node set; VOLL (video on all) i,t Load shedding losses for node i at time t; l (L) i,t,Ω The load loss of the node i at time t in the omega scene is shown.
(2) Considering the failure rate and the overhaul possibility of the internal facilities, constructing a second-stage constraint condition for an optimization objective function of a second-stage direct current optimal line breaking model:
shi Guzhang rate and service constraints:
wherein ,hg,t,Ω 、h w,t,Ω 、h ij,t,Ω Representing the health states of the generator, the wind turbine and the transmission line respectively, and setting corresponding parameters to 0 to limit the output of active power when the facility cannot supply power under maintenance or fault;respectively carrying out switchable and non-switchable line power flow of a line ij at time t under an omega scene; />The electricity consumption requirement of the node i at the time t is known in the omega scene;
constraints that ensure that the line remains in only one state per time period:
wherein , wherein ：the binary states of the line ij in the omega scene are respectively represented by cut-off at time t, static power flow limit and dynamic power flow limit; when the line is in the cut-off state, the switch is in the form of a switch>When using the static tide limit +.>When under favourable windy conditions the actual line limit is greater than the static tide limit, +.>
Flow restriction on switchable lines:
wherein ,a maximum static power flow limit value for the line ij; delta i,t,Ω 、δ j,t,Ω Respectively replaceThe voltage angle of the nodes i and j at time t in the omega scene of the table; x is x ij The reactance value of the line ij; when->When the power flow on the line is 0; when (when)When the line power flow meets the flow restriction formula on the switchable line; the kirchhoff current law in a modified form is adopted to ensure that the flow through the line is 0 no matter the voltage angle between the nodes when the line is cut off;B ij a susceptance value for the line ij;
constraint when line power cannot be cut off:
rotational standby adjustment constraint for each scene:
associating first and second phase rotation standby plans with constraints:
wherein ,is the firstA first-stage positive and negative rotation standby plan value; />The standby deployment value is rotated positively and negatively for the second stage; and the rotation reserve value planned in the first stage should be sufficient to prevent load shedding; the rotation reserve value of the second stage can only be provided by the non-faulty device;
the generator for each manufacturer has:
generator climbing constraint:
climbing time constraint:
and ,
wind force reduction constraint:
switching operation times and adopting dynamic tide limit times constraint:
constraint for preventing occurrence of network islanding:
binary state variable constraints：
The method comprises the steps of referring to fig. 2, deploying a proposed model combining OTS and DLR by adopting a two-stage random unit combination framework, dynamically increasing the line capacity by taking meteorological parameters into consideration, optimizing candidate lines which can be cut off in a system, comprehensively analyzing the running cost, network congestion and wind power consumption of the system, taking the possibility of generator faults and power transmission line interruption into consideration, and solving a hot start value by using a related built-in function; bringing a hot start value, and solving the mixed integer linear programming problem by using a solver; therefore, the influence of the model on the wind power utilization rate under different power distribution network racks is analyzed.
Finally, it should be noted that: the foregoing is merely a preferred example of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. The wind power consumption method taking OTS and DLR models into consideration is characterized by comprising the following steps of:
s1, preprocessing collected power distribution grid frame information, including classifying the information and predicting future weather states and electricity consumption;
s2, based on the preprocessed information, updating and determining a line operation limit value in real time through a dynamic line tide limit model;
s3, under the condition that line break is not considered, a first-stage generator set output decision model is established, and a second-stage direct current power flow optimal line break model is established by taking a first-stage decision value as a hot start input;
the optimization objective function of the output decision model of the generator set in the first stage is as follows:
wherein ,G1 Optimizing a set of units for a first stage; t is an optimized time period;representing the cost of the unit g in the idle state; />The starting and stopping cost of the unit g; u (u) g,t A state variable which is the unit g and is on or off in a period t; y is g,t A variable which is whether the unit g is started in a period t;
the optimization objective function of the second-stage direct current power flow optimal line opening and closing model is as follows:
s is a scene set; pi Ω Probability of being scene Ω; g 2 Optimizing a set of units for the second stage;the production cost is the unit g of the unit; p (P) g,t,Ω 、/>The generating capacity of the traditional generator set g and the wind generating set w at time t in the omega scene is set; w is a wind generating set; c (C) WC To stabilize the wind power output fluctuation cost; n is a network node set; VOLL (video on all) i,t Load shedding losses for node i at time t; l (L) i,t,Ω The load loss of the node i at time t in the omega scene is calculated;
and S4, optimizing the system operation cost, network blocking and wind power consumption performance by combining the dynamic line current limit model and the second-stage direct current optimal line breaking model through a two-stage random unit combination frame.
2. The method for wind power absorption by jointly considering OTS and DLR models according to claim 1, wherein: in step S1, the information is classified into transmission line information, and is classified into an openable line and an uninterruptable line, a candidate line selection for a disconnection operation is determined, and a future weather state and a power consumption amount are predicted by using the acquired historical weather information and load power consumption data.
3. A method for wind power absorption in combination with OTS and DLR models according to claim 2, wherein: in step S2, the real-time updated line operation limit value formula is as follows:
wherein ,update value for dynamic line limit between lines ij, < > for line ij>For static line limit values between lines ij, LIR ij Representing the improvement rate between the lines ij; i max,DLR Representing dynamic line current limit values between lines ij; i max,SLR Representing the quiescent line current limit between lines ij.
4. A method for wind power absorption in combination with OTS and DLR models according to claim 3, wherein: the current calculation formula of the wire is:
wherein ,Iij Is the current between the wires ij; r (T) ij ) Representative temperature is T ij The ac resistance of conductor ij per kilometer,joule heat generated between the wires ij; />Solar heat increment between the wires ij; />Is convective heat loss between the wires ij; />Heat loss is radiated between the wires ij.
5. The method for wind power absorption by jointly considering OTS and DLR models according to claim 1, wherein: constructing a first-stage constraint condition for optimizing an objective function of a first-stage generator set output decision model, including:
system power balance constraint:
operation limit range of conventional generator:
line power flow restriction:
the generator set opening variable and the set combination variable are connected and constrained:
wherein ,Pg,t Generating power of the traditional generator set g in a period t; p (P) w,t The output of the wind generating set g in a period t; f (f) ij,t For the power flowing to i by node j during period t, k (i) is the set of nodes connected to i; f (f) qi,t Power flowing to q for node i during period t; d (D) i,t The power demand for node i during period t;representing the minimum and maximum output limits of the unit g respectively; />A power flow limit representing the line ij during a period t;
and (3) up-down climbing rate constraint of the unit:
wherein ,positive and negative rotation standby power planned by the unit g in a period t are respectively provided;the maximum and minimum rotation standby power value of the unit g is set; SR (SR) g,t Rotating the spare net value for the unit g in a period t;a minimum rotation reserve value required for the period t; RR (RR) g The climbing rate of the unit g;
minimum on-time constraint:
minimum off-time constraint:
wherein ,minimum on/off time for the unit g.
6. The method for wind power absorption by jointly considering OTS and DLR models according to claim 1, wherein: constructing a second-stage constraint condition for an optimization objective function of a second-stage direct current optimal line breaking model:
shi Guzhang rate and service constraints:
wherein ,hg,t,Ω 、h w,t,Ω 、h ij,t,Ω Representing the health states of the generator, the wind turbine and the transmission line respectively, and setting corresponding parameters to 0 to limit the output of active power when the facility cannot supply power under maintenance or fault;respectively carrying out switchable and non-switchable line power flow of a line ij at time t under an omega scene; />The electricity consumption requirement of the node i at the time t is known in the omega scene;
constraints that ensure that the line remains in only one state per time period:
wherein , wherein ：the binary states of the line ij in the omega scene are respectively represented by cut-off at time t, static power flow limit and dynamic power flow limit; when the line is in the cut-off state, the switch is in the form of a switch>When using the static tide limit +.>When under favourable windy conditions the actual line limit is greater than the static tide limit, +.>
Flow restriction on switchable lines:
wherein ,a maximum static power flow limit value for the line ij; delta i,t,Ω 、δ j,t,Ω Respectively representing voltage angles of nodes i and j at time t under an omega scene; x is x ij The reactance value of the line ij; when->When the power flow on the line is 0; when->When the line power flow meets the flow restriction formula on the switchable line; the kirchhoff current law in a modified form is adopted to ensure that the flow through the line is 0 no matter the voltage angle between the nodes when the line is cut off; />B ij A susceptance value for the line ij;
constraint when line power cannot be cut off:
7. the method for wind power absorption by jointly considering OTS and DLR models according to claim 6, wherein:
rotational standby adjustment constraint for each scene:
associating first and second phase rotation standby plans with constraints:
wherein ,a standby planning value for positive and negative rotation in the first stage; />The standby deployment value is rotated positively and negatively for the second stage; and the rotation reserve value planned in the first stage should be sufficient to prevent load shedding; the rotational redundancy value of the second stage can only be provided by non-faulty devices.
8. The method for wind power absorption by combining OTS and DLR models according to claim 7, wherein: the generator for each manufacturer has:
generator climbing constraint:
climbing time constraint:
and ,
wind force reduction constraint:
switching operation times and adopting dynamic tide limit times constraint:
constraint for preventing occurrence of network islanding:
binary state variable constraints:
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