CN111950801A - Cross-section interactive day-ahead market clearing method, system, equipment and storage medium - Google Patents

Cross-section interactive day-ahead market clearing method, system, equipment and storage medium Download PDF

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CN111950801A
CN111950801A CN202010851294.4A CN202010851294A CN111950801A CN 111950801 A CN111950801 A CN 111950801A CN 202010851294 A CN202010851294 A CN 202010851294A CN 111950801 A CN111950801 A CN 111950801A
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clearing
power grid
state
section
network topology
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CN111950801B (en
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张传成
胡晓静
蔡帜
李建
张宏图
路轶
戴赛
李宇轩
丁强
李博
黄运豪
孙毅
张弛
肖畅
张国芳
张大伟
代宇涵
张加力
李立新
李强
潘毅
于钊
王超
罗治强
杨军峰
郑晓雨
关立
董时萌
何明
李旻
李响
过夏明
邓扶摇
刘巍
袁贵川
苏福
黄铮
王金龙
李金龙
李�荣
陈虎
唐伦
苗树敏
张凤西
杜成锐
陈礼频
周京阳
崔晖
许丹
黄国栋
周剑
杨瑞静
孙振
燕京华
韩彬
胡晨旭
李伟刚
屈富敏
闫翠会
门德月
刘芳
邱成建
刘鹏
刘升
胡静
杨占勇
盛灿辉
王磊
韩巍
王伟
李哲
徐晓彤
李媛媛
张晓辛
刘聪
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
State Grid Sichuan Electric Power Co Ltd
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
State Grid Sichuan Electric Power Co Ltd
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Abstract

The invention belongs to the field of power markets, and discloses a section interaction day-ahead market clearing method, a section interaction day-ahead market clearing system, section interaction equipment and a section interaction storage medium, wherein the section interaction day-ahead market clearing method comprises the following steps: acquiring a network topology model, declaration information and operation boundary conditions of a power grid; based on the network topology model, performing clearing calculation according to the declaration information and the operation boundary condition to obtain a ground state clearing result; determining the operation mode of the future state of the power grid according to the basic state clearing result to obtain a future state network topology model of the power grid; based on a future state network topology model, obtaining a future state section quota of the power grid according to a ground state clearing result, and correcting an operation boundary condition according to the future state section quota; and based on a future state network topology model, performing the daily market clearing by using the minimization of the power generation cost as an optimization target according to the declaration information and the corrected operation boundary condition to obtain a clearing result. The running boundary condition is corrected through the future state section quota, the accurate running boundary condition is provided, and the accuracy and the reasonability of the clearing result are improved.

Description

Cross-section interactive day-ahead market clearing method, system, equipment and storage medium
Technical Field
The invention belongs to the field of power markets, and relates to a section interaction day-ahead market clearing method, system, equipment and storage medium.
Background
In the field of electric power markets, the clearing of the electric power spot market before the day is based on market member declaration information and power grid operation boundary conditions, optimized calculation is carried out by adopting a safety constraint unit combination and a safety constraint economic dispatching program, the clearing obtains a market trading result, the market trading electric quantity scale is continuously enlarged along with the rapid promotion of electric power market transformation, and higher requirements are put forward on the rationality of the electric power spot clearing result.
However, when the operation boundary conditions of the power grid for the electric power market clearing calculation are determined at present, section quota information needs to be adopted, the section quota generally adopts a fixed quota or inherits the quota result of the previous day, but the operation mode of the power grid is variable, the section quota changes greatly along with the topology and the current of the power grid, the accuracy of the section quota and the safety of the power grid cannot be guaranteed, the operation boundary conditions of the power grid are inaccurate, and the accuracy and the rationality of the market clearing result of the electric power market before the current date are poor.
Disclosure of Invention
The invention aims to overcome the defects of poor accuracy and reasonableness of the current electric power spot day-ahead market clearing result in the prior art, and provides a cross section interactive day-ahead market clearing method, system, equipment and storage medium.
In order to achieve the purpose, the invention adopts the following technical scheme to realize the purpose:
in a first aspect of the invention, a cross-section interactive day-ahead market clearing method comprises the following steps:
s1: acquiring a network topology model, declaration information and operation boundary conditions of a power grid;
s2: based on a network topology model, performing daily market clearing calculation by taking the minimization of the power generation cost as an optimization target according to the declaration information and the operation boundary conditions to obtain a basic state clearing result;
s3: constructing a future state network topology model of the power grid according to the ground state clearing result;
s4: based on a future state network topology model, obtaining a future state section quota of the power grid according to a ground state clearing result, and correcting an operation boundary condition according to the future state section quota;
s5: and based on a future state network topology model, performing the daily market clearing by using the minimization of the power generation cost as an optimization target according to the declaration information and the corrected operation boundary condition to obtain a clearing result.
The present invention further improves the cross section interactive day-ahead market clearing method in that:
the specific method of S2 is as follows:
s2-1: calculating the sensitivity of the power grid according to the network topology model to obtain a ground state sensitivity matrix of the power grid;
s2-2: according to a network topology model, a ground state sensitivity matrix, declaration information and operation boundary conditions, with the power generation cost minimized as an optimization target, performing daily market clearing calculation by adopting a safety constraint unit combination method and a safety constraint economic dispatching method to obtain a ground state clearing result, wherein the ground state clearing result comprises ground state power flow data;
s2-3: when the ground state power flow data exceeds the preset ground state power flow margin range, adjusting the output of each device in the power grid according to the ground state sensitivity matrix, updating the network topology model and the corrected operation boundary conditions according to the output of each device, repeating S2-2, and updating the current ground state clearing result; otherwise, outputting the basic state clearing result.
The specific method of S3 is as follows:
the ground state clearing result comprises ground state tidal current data and a ground state power grid power generation plan; and determining the operation mode of the future state of the power grid through the ground state tidal current data and the ground state power grid power generation plan, and constructing a future state network topology model of the power grid according to the operation mode of the future state of the power grid.
The specific method for obtaining the future state section quota of the power grid according to the ground state clearing result based on the future state network topology model in the step S4 is as follows:
the ground state clearing result comprises ground state power flow data, and the ground state power flow of each device in the power grid is obtained according to the ground state power flow data; and acquiring equipment contained in each section of the power grid based on a future state network topology model, superposing the ground state power flow of the equipment contained in each section by each section to obtain the section limit of each section, and integrating the section limits of all the sections together to obtain the future state section limit of the power grid.
The specific method for correcting the operation boundary condition according to the future state section quota in the step S4 is as follows:
and calculating to obtain future state bus load prediction and a future state tie line plan of the power grid according to the future state section quota based on a future state network topology model, replacing the section quota in the operation boundary condition with the future state section quota, replacing the bus load prediction in the operation boundary condition with the future state bus load prediction, and replacing the tie line plan in the operation boundary condition with the future state tie line plan to obtain the corrected operation boundary condition.
The S4 further includes:
calculating the alternating current power flow data of the power grid according to the corrected operation boundary conditions based on the future state network topology model, adjusting the output of each device in the power grid when the alternating current power flow data exceeds the preset alternating current power flow margin range, updating the future state network topology model, the future state section quota and the corrected operation boundary conditions according to the output of each device, returning to S2, and replacing the operation boundary conditions in S2 with the corrected operation boundary conditions; otherwise, S5 is performed.
The specific method of S5 is as follows:
s5-1: calculating the sensitivity of the power grid according to the future state network topology model to obtain a sensitivity matrix of the power grid;
s5-2: according to a future state network topology model, a sensitivity matrix, declaration information and corrected operation boundary conditions, with the power generation cost minimized as an optimization target, performing daily market clearing calculation by adopting a safety constraint unit combination method and a safety constraint economic dispatching method to obtain clearing results, wherein the clearing results comprise tidal current data, a power grid power generation plan and clearing prices;
s5-3: when the power flow data exceeds the preset power flow margin range, adjusting the output of each device in the future-state power grid according to the sensitivity matrix, updating the topology model of the future-state power grid and the corrected operation boundary conditions according to the output of each device, returning to S5-2, and updating the current clearing result; otherwise, outputting a clear result.
In a second aspect of the present invention, a cross-section interactive day-ahead market clearing system comprises:
the information acquisition module is used for acquiring a network topology model, declaration information and operation boundary conditions of the power grid;
the ground state clearing module is used for carrying out day-ahead market clearing calculation according to the declaration information and the operation boundary conditions based on the network topology model to obtain a ground state clearing result;
the model establishing module is used for establishing a future state network topology model of the power grid according to the basic state clearing result;
the correction module is used for obtaining the future state section quota of the power grid according to the ground state clearing result based on the future state network topology model and correcting the operation boundary condition according to the future state section quota; and
and the clearing module is used for clearing the market in the future based on the future state network topology model according to the declaration information and the corrected operation boundary conditions by using the power generation cost minimization as an optimization target to obtain a clearing result.
In a third aspect of the present invention, a terminal device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the cross-section interactive day-ahead market clearing method when executing the computer program.
In a fourth aspect of the present invention, a computer-readable storage medium stores a computer program, which when executed by a processor implements the steps of the above-mentioned cross-sectional interactive day-ahead market clearing method.
Compared with the prior art, the invention has the following beneficial effects:
the invention relates to a section interaction day-ahead market clearing method, which comprises the steps of conducting ground state clearing based on the existing network topology model, declaration information and operation boundary conditions of a power grid to obtain a ground state clearing result, then constructing a future state network topology model of the power grid by using the ground state clearing result, then determining a future state section limit according to the future state network topology model and the ground state clearing result, correcting the operation boundary conditions through the future state section limit to improve the accuracy of the operation boundary conditions, further conducting day-ahead market clearing calculation through the future state network topology model, the declaration information and the corrected operation boundary conditions to obtain a final clearing result, and improving the accuracy and the rationality of the day-ahead market clearing result.
Further, after the operation boundary condition is corrected, alternating current power flow data of the power grid is calculated according to the corrected operation boundary condition based on the future state network topology model, when the alternating current power flow data exceeds a preset alternating current power flow margin range, the output of each device in the power grid is adjusted, the determination of the future state section quota of operation and the correction of the operation boundary condition are carried out again, the accuracy of the operation boundary condition is further improved through alternating current-direct current iterative correction, the device out-of-limit condition is eliminated as much as possible, and the accuracy of the current market clearing result is improved.
Drawings
FIG. 1 is a block diagram of a day-ahead market clearing method in accordance with one embodiment of the present invention;
FIG. 2 is a block diagram of a day-ahead market clearing method according to yet another embodiment of the invention;
fig. 3 is a block diagram of a day-ahead market clearing system according to yet another embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
First, terms related to the present invention are explained.
Market day ahead: the operation day is carried out one day (D-1 day) in advance, and the electric energy trading market of the unit combination state and the power generation plan on the operation day (D day) is determined.
Market declaration: the market main body declares various data information including static attribute registration data, operation technical parameters, economic parameters and the like in a specified time range according to the requirements of the spot market.
The market is clear: the electric power market determines the transaction amount and price through competitive pricing according to market rules.
And (3) safety constraint unit combination: under the condition of meeting the safety constraint of the power grid, a multi-period unit starting and stopping plan is made by taking the maximization of social welfare or the minimization of the total power supply cost of the system as optimization targets.
Safety constraint economic dispatch: under the condition of meeting the safety constraint of a power grid, a multi-time-interval unit power generation plan is formulated by taking the maximization of social welfare or the minimization of the total power supply cost of a system as optimization targets.
And (4) safety checking: and analyzing the safety process of the maintenance plan, the power generation plan, the market clearing result, the power grid operation and other contents from the perspective of the power grid operation safety. The analysis method comprises static safety analysis, transient stability analysis, dynamic stability analysis, voltage stability analysis and the like.
The invention is described in further detail below with reference to the accompanying drawings:
referring to fig. 1, in an embodiment of the present invention, a section interaction day-ahead market clearing method is provided, a network topology model and ground state power flow data provided by ground state optimization clearing are used to generate a future state network topology model of a power grid, and the future state network topology model interacts with an intelligent section to realize future state section quota determination, so that a more accurate security constraint boundary can be provided for electric power spot day-ahead market clearing calculation, a more reasonable and more accurate electric power spot day-ahead market clearing result can be obtained, and a technical support is provided for electric power market deep innovation. Specifically, the cross section interactive day-ahead market clearing method comprises the following steps:
s1: preparing basic data: and acquiring a network topology model, declaration information and operation boundary conditions of the power grid.
Specifically, to analyze and process the power grid, basic data of the power grid is acquired first. At present, various data of a power grid are generally directly acquired through a dispatching mechanism and a trading mechanism, for example, a D5000 platform is used for data acquisition, the D5000 platform is a power grid dispatching technology support system and is used for functions of real-time monitoring of power grid operation, online stability analysis, dispatching service management and the like, and the data acquisition of the power grid can be directly performed through the platform.
The reporting information is information which needs to be reported when the power grid participates in the spot market. In general, the power market rules stipulate that the maximum output of the power grid needs to be declared when the power grid participates in the spot market, and the price information needs to be declared at the same time, namely the output of each gear has a corresponding price, and meanwhile, the maximum output declared by the power grid does not exceed the maximum declared power generation capacity, so that the declared output can be realized.
Specifically, when an operation boundary condition is obtained, firstly, boundary operation information of a power grid needs to be obtained, the boundary operation information comprises a tie line plan, section information, equipment information, bus load prediction information, system load prediction information and an equipment maintenance plan, the operation boundary condition of the power grid is determined according to the boundary operation information, and the operation boundary condition comprises system load prediction, bus load prediction, a tie line plan, a medium-long term plan, a delivery plan, a fixed output plan and a section quota.
S2: and (3) ground state clearing: based on the network topology model, according to the declaration information and the operation boundary conditions, the day-ahead market clearing calculation is carried out by taking the power generation cost minimization as an optimization target, and a ground state clearing result is obtained. Specifically, the method comprises the following steps:
s2-1: and calculating the sensitivity of the power grid according to the network topology model to obtain a ground state sensitivity matrix.
Specifically, according to a network topology model, obtaining the impedance of equipment on two sides of each node of the power grid and the impedance of each line in a corresponding time period, and according to the impedance of the equipment on two sides of the nodes of the power grid and the impedance of the line, calculating the sensitivity of each line tide to the active power output of each node through the following formula, and further combining to obtain a sensitivity matrix:
ski＝(xpi-xqi)/xk
wherein s iskiSensitivity, x, representing line power flow of the kth line to the active power output of the ith nodepiAnd xqiRespectively representing the impedance values, x, of the devices on either side of node ikRepresenting the impedance of line k.
The sensitivity is the operation state of each device in a given power grid, when some quantity changes, the change of other quantity can be caused, and when the sensitivity is used for subsequent clearing calculation, the power generation plan of each device in the power grid is adjusted. The sensitivity value can also be used for safety check, for example, when a certain section is out of limit, which devices should be adjusted, and how much should be adjusted to make the section not out of limit, namely through safety check.
S2-2: according to a network topology model, a ground state sensitivity matrix, declaration information and operation boundary conditions, with the power generation cost minimized as an optimization target, performing daily market clearing calculation by adopting a Safety Constraint Unit Combination (SCUC) method and a Safety Constraint Economic Dispatch (SCED) method to obtain a ground state clearing result, wherein the ground state clearing result comprises ground state tidal current data, a ground state power grid power generation plan and a ground state clearing price.
The Safety Constraint Unit Combination (SCUC) method and the Safety Constraint Economic Dispatching (SCED) method are mature clear optimization calculation methods in the field of electric power markets, and can be seen in Guangdong electric power market rules. According to the method, only a network topology model, a ground state sensitivity matrix, operation boundary conditions and declaration information need to be integrated, an objective function of optimization calculation is determined, the power generation cost is minimized as an optimization objective in the embodiment, a day-ahead market clearing model is further constructed, the day-ahead market clearing model can be solved through the two methods, and then ground state power flow data, a ground state power grid power generation plan and a ground state clearing price of a power grid are obtained. Here, the ground state power flow data is dc power flow data.
S2-3: when the ground state power flow data exceeds the preset ground state power flow margin range, adjusting the output of each device in the power grid according to the ground state sensitivity matrix, updating the network topology model and the corrected operation boundary conditions according to the output of each device, repeating S2-2, and updating the current ground state clearing result; otherwise, outputting the basic state clearing result.
The calculated ground state clearing result obtained by the method generally needs to be checked through safety to ensure that the ground state clearing result can be implemented by a power grid. As each device can preset a basic state power flow margin range based on the characteristics of the device, safety check is to compare the calculated basic state power flow data with the preset basic state power flow margin ranges, check whether the basic state power flow result meets the requirements of the margin, such as whether a line, a transformer and a section are overloaded, and then adjust the output condition of the corresponding device according to the sensitivity. The transformer, the line, the section, the equipment and the like have own reasonable voltage and current margin ranges, the calculated tidal current is reasonable in the range, if the calculated tidal current exceeds the threshold, the threshold is not checked safely, the threshold crossing condition of the equipment needs to be adjusted, when the threshold crossing condition is adjusted, the equipment needs to be adjusted according to the sensitivity, and the section cannot be checked safely by adjusting the output force.
In the embodiment, whether the ground state power flow data exceeds a preset ground state power flow margin range is taken as a judgment condition, and when the ground state power flow data exceeds the preset ground state power flow margin range, the situation that the ground state power flow data does not pass the safety check is judged; and when the ground state power flow data does not exceed the preset ground state power flow margin range, determining that the safety check is passed. And determining a final ground state clearing result according to the ground state clearing result after the safety check, adjusting the output condition of each device according to the ground state clearing result which does not pass the safety check, further obtaining parameter information related to the output of each device in the modified network topology model and the operation boundary condition, further updating the network topology model and the modified operation boundary condition, then performing market clearing optimization calculation before the date of the power spot goods by adopting a safety constraint unit combination method and a safety constraint economic dispatching method again to obtain a new ground state clearing result, and performing the safety check again until the safety check is passed.
S3: and constructing a future state network topology model of the power grid according to the ground state clearing result. Specifically, the operation mode of the future state of the power grid is determined through the ground state tidal current data and the ground state power grid power generation plan, and the future state network topology model of the power grid is constructed and obtained according to the operation mode of the future state of the power grid.
The ground state power grid power generation plan gives the starting and stopping and operation conditions of each device in the power grid in the future state, the ground state tidal current data gives the magnitude of the tidal current of each device in the power grid in the future state, the operation mode of the power grid in the future state can be determined by combining the two data information, and then the future state network topology model is constructed through the operation mode.
S4: and based on the future state network topology model, obtaining the future state section quota of the power grid according to the ground state clearing result, and correcting the operation boundary condition according to the future state section quota.
Specifically, the method comprises two parts, wherein the first part is used for obtaining future state section quota of the power grid and obtaining ground state power flow of each device in the power grid according to ground state power flow data; based on a future state network topology model, equipment contained in each section of the power grid is obtained, the ground state power flow of the equipment contained in each section is superposed by each section to obtain the section limit of each section, the section limits of all the sections are integrated together to obtain the future state section limit of the power grid, the future state section limit of the power grid is a large set containing the section limits of all the sections, and the internal elements are the section limits of all the sections. The existing fixed section limit mode is converted into a dynamic or intelligent section limit mode, the specific section limit is judged based on ground state tide data obtained by ground state clearing calculation, and compared with the existing mode of directly adopting the fixed section limit mode or inheriting the section limit of the previous day, the problem that the section limit is inaccurate due to the fact that the section limit changes greatly along with the operation mode of a power grid is solved.
The second part is to modify the operating boundary conditions based on the future state section quota. Since the previously determined operational boundary conditions are determined under the current slice limit and cannot accurately describe the operational boundary, the operational boundary conditions need to be corrected by the future state slice limit.
Specifically, a future state bus load prediction and a future state tie plan of the power grid are obtained according to the future state section quota calculation, the future state tie plan is future state tie flow data of the power grid, specifically, alternating current flow calculation is carried out according to the section quota before the future state section quota replacement, bus voltage and tie flow data cannot be obtained through direct current flow calculation, and alternating current flow can obtain the bus voltage and the tie flow, so that the latest future state bus load prediction and the future state tie plan are obtained. And then replacing the section quota in the operation boundary condition with the future state section quota, replacing the bus load prediction in the operation boundary condition with the future state bus load prediction, and replacing the tie line plan in the operation boundary condition with the future state tie line plan to obtain the corrected operation boundary condition.
S5: and based on a future state network topology model, performing the daily market clearing by using the minimization of the power generation cost as an optimization target according to the declaration information and the corrected operation boundary condition to obtain a clearing result. Specifically, the method comprises the following steps:
s5-1: and calculating the sensitivity of the power grid according to the future state network topology model to obtain a sensitivity matrix.
Similar to the process of the S2-1, obtaining the impedance of the devices on both sides of each node of the power grid and the impedance of each line in the corresponding time period according to the future state network topology model, calculating the sensitivity of each line tide to the active power output of each node according to the impedances of the devices on both sides of the power grid node and the impedances of the lines, and combining to obtain a sensitivity matrix:
ski＝(xpi-xqi)/xk
wherein s iskiSensitivity, x, representing line power flow of the kth line to the active power output of the ith nodepiAnd xqiRespectively representing the impedance values, x, of the devices on either side of node ikRepresenting the impedance of line k.
S5-2: according to a future state network topology model, a sensitivity matrix, declaration information and corrected operation boundary conditions, by taking the minimization of power generation cost as an optimization target, performing daily market clearing calculation by adopting a safety constraint unit combination method and a safety constraint economic dispatching method to obtain clearing results, wherein the clearing results comprise tidal current data, a power grid power generation plan and clearing prices.
Specifically, the parameters are brought into a safety constraint unit combination and a safety constraint economic dispatch program, and the optimal solution of minimizing the power generation cost is solved through the two existing mature programs. In the process, by calculating the tide data of each device of the power grid, the output condition of each device is adjusted through the sensitivity matrix, then a unit startup and shutdown plan is obtained by utilizing a safety constraint unit combination program, a unit power generation plan and a winning price are obtained by utilizing a safety constraint economic dispatching program, and a clearing result is obtained. Wherein, the power flow data is direct current power flow data.
S5-3: when the power flow data exceeds the preset power flow margin range, adjusting the output of each device in the future-state power grid according to the sensitivity matrix, updating the topology model of the future-state power grid and the corrected operation boundary conditions according to the output of each device, returning to S5-2, and updating the current clearing result; otherwise, outputting a clear result.
Similarly, the clearing result obtained by the calculation of the method also needs to be checked through security to ensure that the clearing result can be implemented by the power grid. In the embodiment, whether the power flow data exceeds the preset power flow margin range is taken as a judgment condition, and when the power flow data exceeds the preset power flow margin range, the situation that the power flow data does not pass the safety check is judged; and when the tidal current data does not exceed the preset tidal current margin range, judging that the safety check is passed. And determining a final clearing result according to the clearing result after the safety check, adjusting the output condition of each device according to the clearing result which does not pass the safety check, further obtaining the parameter information related to the output of each device in the modified network topology model and the operation boundary condition, further updating the network topology model and the modified operation boundary condition, then performing market clearing optimization calculation before the current electric power shipment day by adopting a safety constraint unit combination method and a safety constraint economic dispatching method again to obtain a new clearing result, performing the safety check again until the final clearing result passes the safety check, and then outputting the final clearing result to reasonably guide market trading behaviors by using the clearing result.
According to the cross section interactive day-ahead market clearing method, future state cross section quota judgment is realized through a future state network topology model and ground state tide data of ground state optimization clearing, bus load prediction and a tie line plan are modified, accurate operation boundary conditions are provided for comprehensive optimization clearing of the power spot day-ahead market, the equipment out-of-limit condition is eliminated as far as possible, and the accuracy of clearing results is improved.
Referring to fig. 2, in a further embodiment of the present invention, a cross-section interactive day-ahead market clearing method is disclosed, which includes all the steps of the cross-section interactive day-ahead market clearing method in the previous embodiment, wherein S4 further includes: calculating the alternating current power flow data of the power grid according to the corrected operation boundary conditions based on the future state network topology model, adjusting the output of each device in the power grid when the alternating current power flow data exceeds the preset alternating current power flow margin range, updating the future state network topology model, the future state section quota and the corrected operation boundary conditions according to the output of each device, returning to S2, and replacing the operation boundary conditions in S2 with the corrected operation boundary conditions; otherwise, S5 is performed.
In actual work, the inventor finds that the direct current power flow has linear expression and rapidity and is widely applied to the fields of power markets and economic dispatching, errors of direct current power flow results are closely related to running boundary conditions of a power grid, large errors of direct current power flow results directly cause inaccuracy of the running boundary conditions, and accuracy of the running boundary conditions is the key of rationality and accuracy of the future market clearing results.
Meanwhile, in the face of access of an alternating current-direct current power grid and a large amount of new energy, the power grid is being converted into a new form of alternating current-direct current interconnection, a new energy unit is usually accessed into the power grid through power electronic equipment, and the problem how to consider reactive power and active power coupling in the market is in urgent need of solving at present. Due to the new state of AC-DC interconnection and mass access of new energy, the active and reactive coupling in the power grid is increasingly tight, and the output fluctuation of DC feed-in and new energy provides higher requirements for the voltage and reactive safety of the power grid. However, the conventional dc power flow model cannot take reactive power and voltage into account, so that in this case, the error of the dc power flow result is relatively large, and the conventional dc power flow model has difficulty in ensuring the safety and economy of the market clearing result. Therefore, an active and reactive coupling clearing method is urgently needed to be researched in the spot market, the connection between the market clearing and the actual operation of the power grid is realized more safely and efficiently, the refinement level of the operation boundary of the power grid is improved, and the accuracy of future dynamic load flow calculation is improved.
Based on the above problems, the present embodiment of the section interaction day-ahead market clearing method calculates ac power flow data of the power grid according to the modified operation boundary conditions based on the future state network topology model. The load flow calculation is the most basic calculation of the power grid, namely the load flow calculation is that the wiring mode, parameters and operating conditions of the power grid are known, the voltage of each bus, the current and power of each branch circuit and the loss of the power grid in steady-state operation of the power grid are calculated, and the basis can be provided for selecting a power supply scheme and electrical equipment of the power grid through the load flow calculation.
Then, safety check is carried out on each device in the power grid according to the alternating current power flow data, because each alternating current device can preset an alternating current power flow margin range based on the characteristics of the alternating current device, the safety check is to compare the calculated alternating current power flow data with the preset alternating current power flow margin ranges, check whether the alternating current power flow data meet the requirement of the abundance, and judge that the alternating current power flow data do not pass the safety check when the alternating current power flow data exceed the preset alternating current power flow margin ranges; and when the alternating current power flow data does not exceed the preset alternating current power flow margin range, judging that the safety check is passed.
When the safety check is not passed, the output of each device in the power grid needs to be adjusted, after the output of each device in the power grid is adjusted, the output parameter data of each device in the future state network topology model and the output parameter data of each device in the corrected operation boundary conditions need to be correspondingly updated, the update of the future state network topology model and the corrected operation boundary conditions is completed, then the corrected operation boundary conditions are used for replacing the operation boundary conditions in S2, the S2 is returned, the alternating current power flow and the future state section quota are iteratively optimized, and the reasonable future state section quota is obtained. When the current operation boundary condition passes the safety check, the current operation boundary condition after correction not only meets the direct current power flow result, but also meets the alternating current power flow result, the operation boundary condition is utilized to carry out the day-ahead market clearing calculation, the accuracy and the rationality of the day-ahead market clearing result of the electric power spot goods are improved, and the market trading behavior is guided reasonably.
Referring to fig. 3, in another embodiment of the present invention, a cross-section interactive day-ahead market clearing system is disclosed, which includes an information obtaining module, a ground state clearing module, a model building module, a modifying module, and a clearing module.
The information acquisition module is used for acquiring a network topology model, declaration information and operation boundary conditions of the power grid; the ground state clearing module is used for carrying out day-ahead market clearing calculation based on a network topology model according to the declaration information and the operation boundary conditions by taking the power generation cost minimization as an optimization target to obtain a ground state clearing result; the model building module is used for building a future state network topology model of the power grid according to the basic state clearing result; the correction module is used for obtaining the future state section quota of the power grid according to the ground state clearing result based on the future state network topology model and correcting the operation boundary condition according to the future state section quota; and the clearing module is used for clearing the market in the future based on the future state network topology model according to the declaration information and the corrected operation boundary conditions by taking the power generation cost minimization as an optimization target to obtain a clearing result.
In yet another embodiment of the present invention, a terminal device is disclosed that includes a processor and a memory for storing a computer program comprising program instructions, the processor being configured to execute the program instructions stored by the computer storage medium. The Processor may be a Central Processing Unit (CPU), or may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable gate array (FPGA) or other Programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, etc., which is a computing core and a control core of the terminal, and is adapted to implement one or more instructions, and is specifically adapted to load and execute one or more instructions to implement a corresponding method flow or a corresponding function; the processor according to the embodiment of the present invention may be used for the operation of the corresponding steps of the cross-section interaction-related day-ahead market clearing method in the above embodiment, and includes: s1: acquiring a network topology model, declaration information and operation boundary conditions of a power grid; s2: based on a network topology model, performing daily market clearing calculation by taking the minimization of the power generation cost as an optimization target according to the declaration information and the operation boundary conditions to obtain a basic state clearing result; s3: constructing a future state network topology model of the power grid according to the ground state clearing result; s4: based on a future state network topology model, obtaining a future state section quota of the power grid according to a ground state clearing result, and correcting an operation boundary condition according to the future state section quota; s5: and based on a future state network topology model, performing the daily market clearing by using the minimization of the power generation cost as an optimization target according to the declaration information and the corrected operation boundary condition to obtain a clearing result.
In still another embodiment, the present invention further provides a storage medium, specifically a computer-readable storage medium (Memory), which is a Memory device in a terminal device and is used for storing programs and data. It is understood that the computer readable storage medium herein may include a built-in storage medium in the terminal device, and may also include an extended storage medium supported by the terminal device. The computer-readable storage medium provides a storage space storing an operating system of the terminal. Also, one or more instructions, which may be one or more computer programs (including program code), are stored in the memory space and are adapted to be loaded and executed by the processor. It should be noted that the computer-readable storage medium may be a high-speed RAM memory, or may be a non-volatile memory (non-volatile memory), such as at least one disk memory.
One or more instructions stored in the computer-readable storage medium may be loaded and executed by the processor to implement the operations of the corresponding steps of the cross-section interaction-related market-ahead clearing method in the above-described embodiments; one or more instructions in the computer-readable storage medium are loaded by the processor and perform the steps of: s1: acquiring a network topology model, declaration information and operation boundary conditions of a power grid; s2: based on a network topology model, performing daily market clearing calculation by taking the minimization of the power generation cost as an optimization target according to the declaration information and the operation boundary conditions to obtain a basic state clearing result; s3: constructing a future state network topology model of the power grid according to the ground state clearing result; s4: based on a future state network topology model, obtaining a future state section quota of the power grid according to a ground state clearing result, and correcting an operation boundary condition according to the future state section quota; s5: and based on a future state network topology model, performing the daily market clearing by using the minimization of the power generation cost as an optimization target according to the declaration information and the corrected operation boundary condition to obtain a clearing result.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.

Claims (10)

1. A cross section interactive day-ahead market clearing method is characterized by comprising the following steps:
s1: acquiring a network topology model, declaration information and operation boundary conditions of a power grid;
s2: based on a network topology model, performing daily market clearing calculation by taking the minimization of the power generation cost as an optimization target according to the declaration information and the operation boundary conditions to obtain a basic state clearing result;
s3: constructing a future state network topology model of the power grid according to the ground state clearing result;
s4: based on a future state network topology model, obtaining a future state section quota of the power grid according to a ground state clearing result, and correcting an operation boundary condition according to the future state section quota;
s5: and based on a future state network topology model, performing the daily market clearing by using the minimization of the power generation cost as an optimization target according to the declaration information and the corrected operation boundary condition to obtain a clearing result.
2. The cross-section interactive day-ahead market clearing method according to claim 1, wherein the specific method of S2 is as follows:
s2-1: calculating the sensitivity of the power grid according to the network topology model to obtain a ground state sensitivity matrix of the power grid;
s2-2: according to a network topology model, a ground state sensitivity matrix, declaration information and operation boundary conditions, with the power generation cost minimized as an optimization target, performing daily market clearing calculation by adopting a safety constraint unit combination method and a safety constraint economic dispatching method to obtain a ground state clearing result, wherein the ground state clearing result comprises ground state power flow data;
s2-3: when the ground state power flow data exceeds the preset ground state power flow margin range, adjusting the output of each device in the power grid according to the ground state sensitivity matrix, updating the network topology model and the corrected operation boundary conditions according to the output of each device, repeating S2-2, and updating the current ground state clearing result; otherwise, outputting the basic state clearing result.
3. The cross-section interactive day-ahead market clearing method according to claim 1, wherein the specific method of S3 is as follows:
the ground state clearing result comprises ground state tidal current data and a ground state power grid power generation plan;
and determining the operation mode of the future state of the power grid through the ground state tidal current data and the ground state power grid power generation plan, and constructing a future state network topology model of the power grid according to the operation mode of the future state of the power grid.
4. The cross section interaction day-ahead market clearing method according to claim 1, wherein the specific method for obtaining the future state cross section quota of the power grid according to the ground state clearing result based on the future state network topology model in S4 is as follows:
the ground state clearing result comprises ground state power flow data, and the ground state power flow of each device in the power grid is obtained according to the ground state power flow data;
and acquiring equipment contained in each section of the power grid based on a future state network topology model, superposing the ground state power flow of the equipment contained in each section by each section to obtain the section limit of each section, and integrating the section limits of all the sections together to obtain the future state section limit of the power grid.
5. The cross-section interaction day-ahead market clearing method according to claim 1, wherein the specific method for correcting the operation boundary conditions according to the future state cross-section quota in S4 is as follows:
and calculating to obtain future state bus load prediction and a future state tie line plan of the power grid according to the future state section quota based on a future state network topology model, replacing the section quota in the operation boundary condition with the future state section quota, replacing the bus load prediction in the operation boundary condition with the future state bus load prediction, and replacing the tie line plan in the operation boundary condition with the future state tie line plan to obtain the corrected operation boundary condition.
6. The cross-sectional interactive day-ahead market clearing method according to claim 1, wherein the S4 further comprises:
calculating the alternating current power flow data of the power grid according to the corrected operation boundary conditions based on the future state network topology model, adjusting the output of each device in the power grid when the alternating current power flow data exceeds the preset alternating current power flow margin range, updating the future state network topology model, the future state section quota and the corrected operation boundary conditions according to the output of each device, returning to S2, and replacing the operation boundary conditions in S2 with the corrected operation boundary conditions; otherwise, S5 is performed.
7. The cross-section interactive day-ahead market clearing method according to claim 1, wherein the specific method of S5 is as follows:
s5-1: calculating the sensitivity of the power grid according to the future state network topology model to obtain a sensitivity matrix of the power grid;
s5-2: according to a future state network topology model, a sensitivity matrix, declaration information and corrected operation boundary conditions, with the power generation cost minimized as an optimization target, performing daily market clearing calculation by adopting a safety constraint unit combination method and a safety constraint economic dispatching method to obtain clearing results, wherein the clearing results comprise tidal current data, a power grid power generation plan and clearing prices;
s5-3: when the power flow data exceeds the preset power flow margin range, adjusting the output of each device in the future-state power grid according to the sensitivity matrix, updating the topology model of the future-state power grid and the corrected operation boundary conditions according to the output of each device, returning to S5-2, and updating the current clearing result; otherwise, outputting a clear result.
8. A cross-sectional interactive day-ahead market clearing system, comprising:
the information acquisition module is used for acquiring a network topology model, declaration information and operation boundary conditions of the power grid;
the ground state clearing module is used for carrying out day-ahead market clearing calculation according to the declaration information and the operation boundary conditions based on the network topology model to obtain a ground state clearing result;
the model establishing module is used for establishing a future state network topology model of the power grid according to the basic state clearing result;
the correction module is used for obtaining the future state section quota of the power grid according to the ground state clearing result based on the future state network topology model and correcting the operation boundary condition according to the future state section quota; and
and the clearing module is used for clearing the market in the future based on the future state network topology model according to the declaration information and the corrected operation boundary conditions by using the power generation cost minimization as an optimization target to obtain a clearing result.
9. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the cross-section interactive, day-ahead market clearing method according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the cross-sectional interactive, day-ahead market clearing method according to any one of claims 1 to 7.
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