CN108711890A - Ahead market goes out clearing method, system, device and computer readable storage medium - Google Patents
Ahead market goes out clearing method, system, device and computer readable storage medium Download PDFInfo
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- H—ELECTRICITY
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Abstract
This application discloses a kind of ahead markets to go out clearing method,System,Device and computer readable storage medium,By establishing to minimize system operation cost as the object function of target and the constraints constrained including unit operation,It obtains including that the ahead market of object function and constraints goes out clear model,Go out clear model using ahead market and calculates initial Unit Commitment plan,Utilize initial Unit Commitment plan,Security constrained economic dispatch object function and constraints calculate deploying node,Recycle deploying node,Load is declared in the amendment for obtaining more closing to reality customer charge demand,Load generation time ahead market is declared into amendment and goes out clear model,To correct the constraints that ahead market goes out in clear model,It obtains correcting constraints,It can obtain the elastic unit output plan of more closing to reality workload demand and elastic Unit Commitment plan,To avoid the occurrence of the off-capacity that is switched in system operation,The problems such as Line Flow is out-of-limit.
Description
Technical Field
The invention relates to the technical field of power dispatching automation, in particular to a method, a system and a device for clearing a market in the day-ahead and a computer readable storage medium.
Background
With the steady advance of the new cycle of electric power system reformation in China, the electric power trade in China is moving from medium-and-long-term electric quantity trade to electric power spot trade with shorter period; currently, 8 regions in the south (starting in the Guangdong province) and the like have been used as the first power test points to start the construction and exploration of the power spot market.
In the path selection of the electric power spot market in China, in order to guide large users and power selling companies to gradually adapt to spot transactions, only the electric power demand (MW) is declared on the demand side in the initial stage of the market, and the price is not declared. The market operation organization takes the reporting load of the demand side as a rigid boundary, and optimizes and determines a day-ahead power generation plan and a day-ahead node marginal price (LMP) by taking the minimum power generation cost as a target. However, after the market price is published in the day before, the demand side dynamically adjusts the electricity consumption behavior according to the latest price signal. The demand is not fully considered in the market organization at present, which causes the mismatch between the clearing result and the actual load demand of the system, and may cause the problems of insufficient startup capacity, line flow out-of-limit and the like in the system operation. Especially, China is still in a development stage at present, the load is increased quickly, the trend modes are variable, the blocking frequency is increased frequently in partial areas, the blocking management needs to be carried out in the area which is not rainy and mushy day ahead, and the adjustment margin is reserved for real-time scheduling.
In order to obtain a day-ahead power generation plan closer to the actual load demand, the application provides a day-ahead market clearing method.
Disclosure of Invention
In view of the above, the present invention provides a method, a system, a device and a computer readable storage medium for providing a day-ahead market clearing method, a system, a device and a computer readable storage medium, so as to obtain a day-ahead power generation plan closer to an actual load demand, and avoid problems of insufficient startup capacity, line load flow out-of-limit and the like during system operation. The specific scheme is as follows:
a method of day-ahead marketing, comprising:
pre-establishing an objective function with the aim of minimizing the system operation cost;
pre-establishing constraint conditions corresponding to the objective function, wherein the constraint conditions comprise system power balance constraint, system standby constraint, branch active power flow constraint and unit operation constraint;
obtaining an initial unit start-stop plan by using the constraint condition and the objective function;
obtaining a node marginal electricity price by utilizing the initial unit start-stop plan, a pre-established safety constraint economic dispatching objective function and the constraint condition;
obtaining a correction declaration load by utilizing the marginal electricity price of the node, the expected price of the user and the demand elasticity of the user;
substituting the declared load into the system power balance constraint, the system standby constraint and the branch active power flow constraint to obtain a correction constraint condition;
and obtaining an elastic unit output plan and an elastic unit start-stop plan by using the correction constraint condition and the objective function.
Optionally, the objective function is:
in the formula, pk,tRepresents the output of the unit k in the time period t, uk,tA variable 0-1 representing the starting and stopping state of the unit, F (-) representing the quotation function of the unit participating in the market in the day ahead, being a continuous piecewise linear function, NGAnd T represents the number of sets and the number of sections in operation, Sk,tRepresenting the starting cost of the thermal power generating unit;
wherein S isk,tSatisfies the following conditions:
in the formula, SUCkRepresenting the single boot cost of unit k.
Optionally, the system power balance constraint is:
the system standby constraints are:
the branch active power flow constraint is as follows:
the unit operation constraints include:
and (3) restraining the upper and lower output limits of the online unit:
and (3) restraining the climbing rate of the unit:
minimum continuous on time constraint:
minimum continuous downtime constraint:
in the formula (d)j,tRepresenting the declared load demand, N, of user j over time period tDIndicating the number of users participating in the market,representing the upper limit of the output of the unit, r representing the requirement of the system standby rate, DtRepresenting total demand-side declared load during time t, i.e. Dt＝∑jdj,t，FlRepresenting the active transmission capacity, T, of branch ll,kRepresenting a power flow transition distribution factor of the network,R k、respectively represents the upper limit of the increased and decreased output of the unit k in the adjacent time period,respectively representing the minimum continuous starting time and the minimum continuous stopping time of the unit k.
Optionally, the marginal electricity price of the node is:
in the formula, LMPk,tRepresents the marginal price of electricity of the node k in the t period, lambdatLagrange multipliers representing the t-period system load balancing constraints,indicates the line amaxThe lagrange multiplier of the forward power flow constraint,lagrange multipliers representing the maximum reverse power flow constraint of line l,lagrange multipliers representing the maximum forward power flow constraint of section s,lagrange multipliers representing the maximum reverse power flow constraint of section s.
Optionally, the process of obtaining a modified declaration load by using the marginal electricity price of the node, the expected price of the user, and the demand elasticity of the user includes:
obtaining the corrected reporting load by utilizing a reporting load elastic correction formula, the node marginal electricity price, the expected price of a user and the demand elasticity of the user;
wherein, the declared load elasticity correction formula is as follows:
in the formula, epsilontTo be resilient to the user's demand during time period t,representing the user's desired price for the weekday period t,representing the declared load demand of the user for the time period t of the day of operation,
optionally, the method further includes:
establishing a penalty item for the objective function for ensuring the preferential startup of the bid winning unit;
and obtaining a final elastic unit output plan and a final elastic unit start-stop plan by using the correction constraint condition, the objective function and the penalty item.
Optionally, the penalty term is:
wherein M is not less than max SUCkM is a positive number which is large enough relative to the running and starting and stopping costs of the unit, and a variable w is 0-1k,tAnd the change of the starting state of the unit in the security check relative to the clear result of the market at the day before is shown.
The invention also discloses a system for clearing the market in the day ahead, which comprises:
the system comprises an objective function establishing module, a data processing module and a data processing module, wherein the objective function establishing module is used for establishing an objective function which takes the minimized system operation cost as an objective in advance;
the constraint condition establishing module is used for establishing constraint conditions corresponding to the objective function in advance, wherein the constraint conditions comprise system power balance constraint, system standby constraint, branch active power flow constraint and unit operation constraint;
the model calculation module is used for obtaining an initial unit start-stop plan by utilizing the constraint conditions and the objective function;
the marginal electricity price calculating module is used for obtaining node marginal electricity prices by utilizing the initial unit start-stop plan, a pre-established safety constraint economic dispatching objective function and the constraint conditions;
the reporting load correction module is used for obtaining a corrected reporting load by utilizing the marginal electricity price of the node, the expected price of a user and the demand elasticity of the user;
the constraint condition correction module is used for substituting the declared load into the system power balance constraint, the system standby constraint and the branch active power flow constraint to obtain a correction constraint condition;
and the correction model calculation module is used for obtaining an elastic unit output plan and an elastic unit start-stop plan by using the correction constraint condition and the target function.
The invention also discloses a device for clearing the market in the day ahead, which comprises:
a memory for storing a day-ahead market clearing program;
a processor for executing the day-ahead market clearing program to implement the day-ahead market clearing method as described above.
The invention also discloses a computer readable storage medium, on which a day-ahead market clearing program is stored, which when executed by a processor implements the steps of the day-ahead market clearing method as described above.
The invention discloses a method for clearing a day-ahead market, which comprises the following steps: pre-establishing an objective function with the aim of minimizing the system operation cost; pre-establishing constraint conditions corresponding to the objective function, wherein the constraint conditions comprise system power balance constraint, system standby constraint, branch active power flow constraint and unit operation constraint; obtaining an initial unit start-stop plan by using the constraint conditions and the objective function; obtaining a node marginal electricity price by using an initial unit start-stop plan, a pre-established safety constraint economic dispatching objective function and constraint conditions; obtaining a correction declaration load by utilizing the marginal electricity price of the node, the expected price of the user and the demand elasticity of the user; substituting the declared load into a system power balance constraint, a system standby constraint and a branch active power flow constraint to obtain a correction constraint condition; and obtaining an output plan and a start-stop plan of the elastic unit by using the corrected constraint condition and the objective function.
The invention obtains a day-ahead market clearing model comprising the objective function and the constraint conditions by establishing the objective function taking the minimized system operation cost as the target and the constraint conditions comprising the system power balance constraint, the system standby constraint, the branch active power flow constraint and the unit operation constraint, calculates an initial unit start-stop plan by using the day-ahead market clearing model, calculates a node marginal electricity price by using the initial unit start-stop plan, the safety constraint economic dispatching objective function and the constraint conditions, obtains a modified declaration load closer to the actual user load demand by using the node marginal electricity price, the expected price of the user and the demand elasticity of the user, replaces the modified declaration load into the day-ahead market clearing model, thereby modifying the constraint conditions in the day-ahead market clearing model to obtain a modified constraint condition, and makes the day-ahead market clearing model more equal to the actual load demand, and then, by using the objective function and the correction constraint condition, an elastic unit output plan and an elastic unit start-stop plan can be obtained, so that the problems of insufficient start-up capacity, line tide out-of-limit and the like in system operation are avoided.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for market clearing in the day-ahead environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of another day-ahead market clearing method disclosed in the embodiments of the present invention;
fig. 3 is a schematic structural diagram of a day-ahead market clearing system disclosed by the embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention discloses a method for clearing a market in the day ahead, which is shown in figure 1 and comprises the following steps:
s1: pre-establishing an objective function with the aim of minimizing the system operation cost;
s2: and pre-establishing constraint conditions corresponding to the objective function, wherein the constraint conditions comprise system power balance constraint, system standby constraint, branch active power flow constraint and unit operation constraint.
Specifically, basic data is acquired in advance, and technical data includes system data: time period information, system load and system standby requirements; the unit data: the method comprises the following steps of generating unit basic information, generating unit calculation parameters, generating unit starting quotation, generating unit energy quotation, generating unit initial state, generating unit electric power constraint, generating unit climbing speed and the like; tie-line planning data: tie line basic information and tie line planned power; load data: load power demand reporting data; sensitivity data: generating transfer distribution factors of unit and load injection power to line and section tidal current; and establishing an objective function and a constraint condition by using the basic data to form a day-ahead market clearing model comprising the objective function and the constraint condition, wherein the day-ahead market clearing model is a safety constraint unit combination model without considering demand elasticity and is a mixed integer linear programming model.
S3: and obtaining an initial unit start-stop plan by using the constraint conditions and the objective function.
Specifically, after an objective function and constraint conditions are established by using basic data, basic data taking a market clearing model in the day ahead as constants are input, and an initial unit start-stop plan in the market clearing model in the day ahead is calculated.
S4: and obtaining the node marginal electricity price by using the initial unit start-stop plan, the pre-established safety constraint economic dispatching objective function and the constraint conditions.
Specifically, the calculated initial unit start-stop plan is substituted into the safety constraint economic dispatching objective function and the constraint condition, and the safety constraint economic dispatching objective function and the constraint condition are solved to obtain the node marginal electricity price.
The safety constraint economic dispatching objective function is as follows:
in the formula, pk,tRepresents the output of the unit k in the time period t, uk,tA variable 0-1 representing the starting and stopping state of the unit, F (-) representing the quotation function of the unit participating in the market in the day ahead, being a continuous piecewise linear function, NGAnd T represents the number of sets and the number of operation stages, respectively.
The initial unit output plan and the initial unit start-stop plan respectively comprise the unit output p of each time period of the unit in unit timek,tAnd the on-off state u of the unitk,tThe unit time may be days.
S5: and obtaining the corrected declaration load by utilizing the marginal electricity price of the node, the expected price of the user and the demand elasticity of the user.
Specifically, before the market is opened every day, the user can predict the next day electricity price according to historical data, weather factors, prediction information and operation data issued by a scheduling mechanism, and the like, as shown in fig. 2, the extended lines of a point E and a point F are a user demand curve F-1(d) Let the user's expected price for the time period t of the day of operation beIts declared load demand for that time period isAs shown by point E in FIG. 2, at this time, the user is considered to directly use the marginal electricity price of the node which is cleared in the day-ahead as the expectation of the real-time electricity price, i.e. the user is considered to be
After the market price is released in the future, the user can update the real-time price expectation and adjust the power consumption load to the point on the demand curve corresponding to the real-time expected price, so that the demand elasticity of each user is measured and calculated through historical data, and the declared load is corrected according to the demand elasticity data to obtain the real power consumption willingness of the user.
Specifically, the self-elasticity of the power demand can reflect the response of the user to the deviation of the price expectation, and the self-elasticity means that the deviation of 1% is generated in the price expectation in a certain period, so as to cause the percentage of load demand adjustment in the period; wherein,
the self-elasticity is as follows:
wherein ε represents self-elasticity, △ d represents dRT-dDA△ pi denotes piEDA-πDAD represents the load and pi represents the price.
The elasticity of the power demand is not the slope of the user demand curve, but the slope of the user demand curve under a logarithmic coordinate, and the demand curve is locally approximated through a Cobb-Douglas function, so that the numerical change of the elasticity near the reported load is considered to be small.
Specifically, the corresponding relation of the price to the user load is established by utilizing the node marginal electricity price, the expected price of the user and the demand elasticity of the user, so that the corrected reporting load is obtained, wherein the demand elasticity of the user can be obtained by measuring and calculating the historical reporting load, the actual load, the historical day-ahead electricity price and the historical real-time electricity price.
S6: and substituting the correction declaration load into a system power balance constraint, a system standby constraint and a branch active power flow constraint to obtain a correction constraint condition.
S7: and obtaining an output plan and a start-stop plan of the elastic unit by using the corrected constraint condition and the objective function.
Specifically, by substituting the corrected declared load into the constraint condition, more accurate system power balance constraint, system standby constraint and road active power flow constraint can be obtained, the corrected constraint condition is obtained, and then by using the corrected constraint condition and the objective function, an elastic unit output plan and an elastic unit start-stop plan which are considered to be in demand elasticity in the day ahead can be obtained, so that a day-ahead power generation plan which is closer to the actual load demand can be obtained, and the problems of insufficient start-up capacity, line power flow out-of-limit and the like in system operation are avoided.
It should be noted that, the unit output p of each time period in the unit time is obtainedk,tAnd the on-off state u of the unitk,tThe unit time can be days, so that an elastic unit output plan and an elastic unit start-stop plan can be obtained, namely the elastic unit output plan and the elastic unit start-stop plan respectively comprise unit output p of the units in each time period in the unit timek,tAnd the on-off state u of the unitk,t。
It can be seen that, the embodiment of the invention establishes an objective function taking the minimized system operation cost as a target and constraint conditions comprising a system power balance constraint, a system standby constraint, a branch active power flow constraint and a unit operation constraint to obtain a day-ahead market clearing model comprising the objective function and the constraint conditions, calculates an initial unit start-stop plan by using the day-ahead market clearing model, calculates a node marginal electricity price by using the initial unit start-stop plan, a safety constraint economic dispatching objective function and the constraint conditions, obtains a modified declaration load closer to the actual user load demand by using the node marginal electricity price, the expected price of a user and the demand elasticity of the user, replaces the modified declaration load into the day-ahead market clearing model, thereby modifying the constraint conditions in the day-ahead market clearing model to obtain a modified constraint condition and making the day-ahead market clearing model closer to the actual load demand, and then, by using the objective function and the correction constraint condition, an elastic unit output plan and an elastic unit start-stop plan can be obtained, so that the problems of insufficient start-up capacity, line tide out-of-limit and the like in system operation are avoided.
The embodiment of the invention discloses a specific method for clearing the market in the future, and compared with the previous embodiment, the embodiment further explains and optimizes the technical scheme. Specifically, the method comprises the following steps:
specifically, the objective function is:
in the formula, Sk,tRepresenting the starting cost of the thermal power generating unit;
wherein S isk,tSatisfies the following conditions:
in the formula, SUCkRepresenting the single boot cost of unit k.
Specifically, the constraint condition may be specifically expressed as:
the system power balance constraint is:
the system standby constraints are:
the branch active power flow constraint is as follows:
the unit operation constraints include:
and (3) restraining the upper and lower output limits of the online unit:
and (3) restraining the climbing rate of the unit:
minimum continuous on time constraint:
minimum continuous downtime constraint:
in the formula (d)j,tRepresenting the declared load demand, N, of user j over time period tDIndicating the number of users participating in the market,representing the upper limit of the output of the unit, r representing the requirement of the system standby rate, DtRepresenting total demand-side declared load during time t, i.e. Dt＝∑jdj,t，FlRepresenting the active transmission capacity, T, of branch ll,kRepresenting a power flow transition distribution factor of the network,R k、respectively represents the upper limit of the increased and decreased output of the unit k in the adjacent time period,respectively representing the minimum continuous starting time and the minimum continuous stopping time of the unit k.
The marginal electricity price of the node is as follows:
in the formula, LMPk,tRepresents the marginal price of electricity of the node k in the t period, lambdatLagrange multipliers representing the t-period system load balancing constraints,lagrange multipliers representing the maximum forward power flow constraint of line l,lagrange multipliers representing the maximum reverse power flow constraint of line l,lagrange multipliers representing the maximum forward power flow constraint of section s,lagrange multipliers representing the maximum reverse power flow constraint of section s.
Specifically, the process of obtaining the corrected declaration load by the node marginal electricity price, the expected price of the user and the demand elasticity of the user includes:
obtaining a corrected reporting load by using a reporting load elastic correction formula, a node marginal electricity price, an expected price of a user and demand elasticity of the user;
wherein, the reported load elasticity correction formula is as follows:
in the formula, epsilontTo be resilient to the user's demand during time period t,representing the user's desired price for the weekday period t,representing the declared load demand of the user for the time period t of the day of operation,
in addition, the embodiment of the invention also discloses a method for clearing the market in the day ahead, which is shown in fig. 2 and specifically comprises the following steps:
according to the embodiment of the invention, on the basis of the method for clearing the market before the day of S1-S7, the benefit of the generator set is further ensured not to be lost, the generator set which is marked in the market before the day in the power generation plan is ensured to be started preferentially, and the penalty item for the objective function is increased.
S21: establishing a penalty item for the objective function for ensuring the preferential startup of the bid winning unit;
s22: and obtaining a final elastic unit output plan and a final elastic unit start-stop plan by using the correction constraint condition, the objective function and the penalty term.
Wherein, the penalty term is:
wherein M is not less than max SUCkM is a positive number which is large enough relative to the running and starting and stopping costs of the unit, and a variable w is 0-1k,tAnd the change of the starting state of the unit in the security check relative to the clear result of the market at the day before is shown.
And the bid winning unit in the market at present is ensured to be started preferentially by correcting the objective function. When the peak load regulation is difficult or the trend is unreasonable and the bid machine set in the market at the present time needs to be shut down, the model minimizes the shutdown time of the machine set so as to reduce the settlement loss of the machine set as much as possible. And when the unit is required to be opened or the online time of the unit is prolonged in the safety check, the penalty item in the formula (13) does not work, and the safety check model decides the day-ahead power generation plan by taking the minimum operation cost as a target.
Correspondingly, the embodiment of the invention also discloses a system for clearing the market in the day ahead, which is shown in fig. 3 and comprises:
the system comprises an objective function establishing module 1, a data processing module and a data processing module, wherein the objective function establishing module is used for establishing an objective function which aims at minimizing the system operation cost in advance;
the constraint condition establishing module 2 is used for establishing constraint conditions corresponding to the objective function in advance, wherein the constraint conditions comprise system power balance constraint, system standby constraint, branch active power flow constraint and unit operation constraint;
the model calculation module 3 is used for obtaining an initial unit start-stop plan by utilizing the constraint conditions and the objective function;
the marginal electricity price calculating module 4 is used for obtaining node marginal electricity prices by utilizing an initial unit start-stop plan, a pre-established safety constraint economic dispatching objective function and constraint conditions;
the reporting load correction module 5 is used for obtaining a corrected reporting load by utilizing the marginal electricity price of the node, the expected price of the user and the demand elasticity of the user;
the constraint condition correction module 6 is used for substituting the declared load into a system power balance constraint, a system standby constraint and a branch active power flow constraint to obtain a correction constraint condition;
and the correction model calculation module 7 is used for obtaining an elastic unit output plan and an elastic unit start-stop plan by using the correction constraint condition and the target function.
It can be seen that, the embodiment of the invention establishes an objective function taking the minimized system operation cost as a target and constraint conditions comprising a system power balance constraint, a system standby constraint, a branch active power flow constraint and a unit operation constraint to obtain a day-ahead market clearing model comprising the objective function and the constraint conditions, calculates an initial unit start-stop plan by using the day-ahead market clearing model, calculates a node marginal electricity price by using the initial unit start-stop plan, a safety constraint economic dispatching objective function and the constraint conditions, obtains a modified declaration load closer to the actual user load demand by using the node marginal electricity price, the expected price of a user and the demand elasticity of the user, replaces the modified declaration load into the day-ahead market clearing model, thereby modifying the constraint conditions in the day-ahead market clearing model to obtain a modified constraint condition and making the day-ahead market clearing model closer to the actual load demand, and then, by using the objective function and the correction constraint condition, an elastic unit output plan and an elastic unit start-stop plan can be obtained, so that the problems of insufficient start-up capacity, line tide out-of-limit and the like in system operation are avoided.
Wherein the objective function is:
in the formula, pk,tRepresents the output of the unit k in the time period t, uk,tA variable 0-1 representing the starting and stopping state of the unit, F (-) representing the quotation function of the unit participating in the market in the day ahead, being a continuous piecewise linear function, NGAnd T represents the number of sets and the number of sections in operation, Sk，tRepresenting the starting cost of the thermal power generating unit;
wherein S isk,tSatisfies the following conditions:
in the formula, SUCkRepresenting the single boot cost of unit k.
Wherein, each constraint in the constraint conditions may specifically be:
the system power balance constraint is:
the system standby constraints are:
the branch active power flow constraint is as follows:
the unit operation constraints include:
and (3) restraining the upper and lower output limits of the online unit:
and (3) restraining the climbing rate of the unit:
minimum continuous on time constraint:
minimum continuous downtime constraint:
in the formula (d)j,tRepresenting the declared load demand, N, of user j over time period tDIndicating the number of users participating in the market,representing the upper limit of the output of the unit, r representing the requirement of the system standby rate, DtRepresenting total demand-side declared load during time t, i.e. Dt＝∑jdj,t，FlRepresenting the active transmission capacity, T, of branch ll,kRepresenting a power flow transition distribution factor of the network,R k、respectively representing the increase of adjacent time intervals of a unit kThe upper limit of the output is reduced,respectively representing the minimum continuous starting time and the minimum continuous stopping time of the unit k.
Wherein, the marginal electricity price of the node is as follows:
in the formula, λtLagrange multipliers representing the t-period system load balancing constraints,lagrange multipliers representing the maximum forward power flow constraint of line l,lagrange multipliers representing the maximum reverse power flow constraint of line l,lagrange multipliers representing the maximum forward power flow constraint of section s,lagrange multipliers representing the maximum reverse power flow constraint of section s.
Specifically, the constraint condition modification module 6 may be specifically configured to obtain a modified declaration load by using a declaration load elastic modification formula, a node marginal electricity price, an expected price of a user, and a demand elasticity of the user;
wherein, the reported load elasticity correction formula is as follows:
in the formula, epsilontTo be resilient to the user's demand during time period t,representing the user's desired price for the weekday period t,representing the declared load demand of the user for the time period t of the day of operation,
the embodiment of the invention also comprises a penalty item establishing module and a correction model calculating module; wherein,
the penalty item establishing module is used for establishing a penalty item for the objective function for ensuring the preferential startup of the winning machine set;
and the correction model calculation module is used for obtaining a final elastic unit output plan and a final elastic unit start-stop plan by using the correction constraint conditions, the objective function and the penalty term.
Specifically, the penalty term is:
wherein M is not less than max SUCkA variable w of 0-1 for a positive number sufficiently large with respect to the operating and start-stop costs of the unitk,tAnd the change of the starting state of the unit in the security check relative to the clear result of the market at the day before is shown.
In addition, the embodiment of the invention also discloses a day-ahead market clearing device, which comprises:
a memory for storing a day-ahead market clearing program;
a processor for executing a day-ahead market clearing program to implement the day-ahead market clearing method as described above.
For the specific steps of the aforementioned market clearing method in the day ahead, reference may be made to the corresponding contents disclosed in the foregoing embodiments, and details are not repeated here.
The embodiment of the invention also discloses a computer readable storage medium, wherein the computer readable storage medium is stored with a day-ahead market clearing program, and the steps of the day-ahead market clearing method are realized when the day-ahead market clearing program is executed by a processor.
For the specific steps of the aforementioned market clearing method in the day ahead, reference may be made to the corresponding contents disclosed in the foregoing embodiments, and details are not repeated here.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The present invention provides a method, a system, a device and a computer readable storage medium for market clearing in the future, which are introduced in detail, and the principle and the implementation of the present invention are explained by applying specific examples, and the description of the embodiments is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A method of day-ahead marketing, comprising:
pre-establishing an objective function with the aim of minimizing the system operation cost;
pre-establishing constraint conditions corresponding to the objective function, wherein the constraint conditions comprise system power balance constraint, system standby constraint, branch active power flow constraint and unit operation constraint;
obtaining an initial unit start-stop plan by using the constraint condition and the objective function;
obtaining a node marginal electricity price by utilizing the initial unit start-stop plan, a pre-established safety constraint economic dispatching objective function and the constraint condition;
obtaining a correction declaration load by utilizing the marginal electricity price of the node, the expected price of the user and the demand elasticity of the user;
substituting the declared load into the system power balance constraint, the system standby constraint and the branch active power flow constraint to obtain a correction constraint condition;
and obtaining an elastic unit output plan and an elastic unit start-stop plan by using the correction constraint condition and the objective function.
2. The method of claim 1, wherein the objective function is:
in the formula, pk,tRepresents the output of the unit k in the time period t, uk,tA variable 0-1 representing the starting and stopping state of the unit, F (-) representing the quotation function of the unit participating in the market in the day ahead, being a continuous piecewise linear function, NGAnd T represents the number of sets and the number of sections in operation, Sk,tRepresenting the starting cost of the thermal power generating unit;
wherein S isk,tSatisfies the following conditions:
in the formula, SUCkRepresenting the single boot cost of unit k.
3. The day ahead market clearing method of claim 1, in which the system power balance constraints are:
the system standby constraints are:
the branch active power flow constraint is as follows:
the unit operation constraints include:
and (3) restraining the upper and lower output limits of the online unit:
and (3) restraining the climbing rate of the unit:
minimum continuous on time constraint:
minimum continuous downtime constraint:
in the formula (d)j,tRepresenting the declared load demand, N, of user j over time period tDIndicating the number of users participating in the market,representing the upper limit of the output of the unit, r representing the requirement of the system standby rate, DtRepresenting total demand-side declared load during time t, i.e. Dt＝∑jdj,t，FlRepresenting the active transmission capacity, T, of branch ll,kRepresenting a power flow transition distribution factor of the network,R k、respectively represents the upper limit of the increased and decreased output of the unit k in the adjacent time period,respectively representing the minimum continuous starting time and the minimum continuous stopping time of the unit k.
4. The day-ahead market clearing method of claim 1, wherein the node marginal electricity prices are:
in the formula, LMPk,tRepresents the marginal price of electricity of the node k in the t period, lambdatLagrange multipliers representing the t-period system load balancing constraints,lagrange multipliers representing the maximum forward power flow constraint of line l,lagrange multipliers representing the maximum reverse power flow constraint of line l,lagrange multipliers representing the maximum forward power flow constraint of section s,lagrange multipliers representing the maximum reverse power flow constraint of section s.
5. The method for market clearing at day-ahead according to claim 1, wherein the process of obtaining the revised declaration load by using the node marginal electricity price, the expected price of the user and the demand elasticity of the user comprises:
obtaining the corrected reporting load by utilizing a reporting load elastic correction formula, the node marginal electricity price, the expected price of a user and the demand elasticity of the user;
wherein, the declared load elasticity correction formula is as follows:
in the formula, epsilontTo be resilient to the user's demand during time period t,representing the user's desired price for the weekday period t,representing the declared load demand of the user for the time period t of the day of operation,
6. the day-ahead market clearing method according to any one of claims 1 to 5, further comprising:
establishing a penalty item for the objective function for ensuring the preferential startup of the bid winning unit;
and obtaining a final elastic unit output plan and a final elastic unit start-stop plan by using the correction constraint condition, the objective function and the penalty item.
7. A method of day-ahead marketing according to claim 6, wherein the penalty term is:
wherein M is not less than maxSUCkM is a positive number which is large enough relative to the running and starting and stopping costs of the unit, and a variable w is 0-1k,tAnd the change of the starting state of the unit in the security check relative to the clear result of the market at the day before is shown.
8. A day-ahead marketing system, comprising:
the system comprises an objective function establishing module, a data processing module and a data processing module, wherein the objective function establishing module is used for establishing an objective function which takes the minimized system operation cost as an objective in advance;
the constraint condition establishing module is used for establishing constraint conditions corresponding to the objective function in advance, wherein the constraint conditions comprise system power balance constraint, system standby constraint, branch active power flow constraint and unit operation constraint;
the model calculation module is used for obtaining an initial unit start-stop plan by utilizing the constraint conditions and the objective function;
the marginal electricity price calculating module is used for obtaining node marginal electricity prices by utilizing the initial unit start-stop plan, a pre-established safety constraint economic dispatching objective function and the constraint conditions;
the reporting load correction module is used for obtaining a corrected reporting load by utilizing the marginal electricity price of the node, the expected price of a user and the demand elasticity of the user;
the constraint condition correction module is used for substituting the declared load into the system power balance constraint, the system standby constraint and the branch active power flow constraint to obtain a correction constraint condition;
and the correction model calculation module is used for obtaining an elastic unit output plan and an elastic unit start-stop plan by using the correction constraint condition and the target function.
9. A day-ahead market dispensing apparatus, comprising:
a memory for storing a day-ahead market clearing program;
a processor for executing the market-ahead liquidation program to implement the market-ahead liquidation method of any one of claims 1 to 7.
10. A computer-readable storage medium, having stored thereon a day-ahead market-out program, which when executed by a processor, performs the steps of the day-ahead market-out method of any one of claims 1 to 7.
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