CN112350308A - Power system scheduling method and device based on power generation capacity control in market environment - Google Patents
Power system scheduling method and device based on power generation capacity control in market environment Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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Abstract
The application discloses a power system scheduling method and device based on power generation capacity control in a market environment, wherein the method comprises the following steps: acquiring the integral available transmitting capacity of the market, calculating the proportion of the residual supply capacity of each market main body, and judging whether the market main body has market capacity or not according to the proportion of the residual supply capacity; the method is characterized in that a market main body competitive capacity with market force capability is adjusted by a power generation capacity control method under the guidance of a fully competitive market supply and demand relation; and carrying out whole network scheduling optimization by using the maximum social welfare optimization target under the constraint of an optimization adjustment result. According to the method, the market competition capacity of the power generation main body with potential market power can be adjusted through the power generation capacity control method, so that the equal supply and demand situation of the market is restored, the market is guaranteed to be dispatched and optimized on the basis of full competition, the operation efficiency of the power system is improved, and the maximization of social welfare is realized.
Description
Technical Field
The application relates to the technical field of power markets, in particular to a power system scheduling method and device based on power generation capacity control in a market environment.
Background
The electric power system reform is to ensure safe and stable supply of electric power, promote technical and mode innovation and promote high-quality development of the electric power industry by continuously optimizing a system mechanism in the electric power industry and establishing a fair and ordered electric power market. While the market structure of the power generation side in China has certain unreasonable phenomenon, the market share ratio of a single power generation group in part of areas is too high, and under some special conditions, such as blockage occurrence areas, load peak periods and the like, part of power generation enterprises can form monopoly advantages, so that the fair competition of the market is influenced, the market price is increased, and the burden of users is increased.
At present, in the process of scheduling and optimizing the power system, the main methods for controlling market force are divided into two types: the prior monitoring mechanism and the after investigation mechanism are combined in two ways in actual operation of various markets. The prior monitoring mechanism is to calculate whether the market subjects have market-engaging ability in the subsequent market scheduling optimization, and if any market subject is detected to have market-engaging ability, the regulatory body will limit their quotes or volume, for example, by replacing the market subject's quotes with previously accounted costs.
However, the method has two problems, namely, the unit operation cost is difficult to account, and the market force is not necessarily used for the high price quoted by the market main body in the actual operation, so that misjudgment is easily generated in the method, and the value of market supply and demand is difficult to embody. The market force driving state is judged by the after-investigation mechanism according to the price and the capacity of the after-coming product, although the misjudgment probability is low, the after-going tracing efficiency is low, the behavior of the market force is difficult to be restrained from the source, and the market loss is avoided.
Content of application
The present application is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, a first object of the present invention is to provide a power system scheduling method based on power generation capacity control in a market environment, which reduces market segment competitive capacity having market segment capability in advance by controlling power generation competitive capacity of a market segment to reduce the market segment capability, thereby restoring a fully competitive market environment and clarifying a volume price result reflecting market value.
A second object of the present application is to provide an electric power system scheduling apparatus based on generation capacity control in a market environment.
In order to achieve the above object, an embodiment of a first aspect of the present application provides a power system scheduling method based on power generation capacity control in a market environment, including the following steps:
acquiring the power generation capacity of all main bodies in the market, determining the market power consumption capacity of the market, and calculating the market supply-demand ratio and the residual supply index of each market main body;
setting a standard market surplus supply index of a fully competitive environment by taking a fully competitive supply-demand ratio as a guide so as to detect market force capability of each market main body; and
adjusting market competitive capacity of a market main body with market force capability according to a power generation capacity control strategy;
and (4) bringing the optimized and adjusted capacity constraints of each market main body into a market scheduling optimization model, and performing whole network scheduling optimization by taking social welfare maximization as an optimization target.
In addition, the power system scheduling method based on the power generation capacity control in the market environment according to the above embodiment of the present application may further have the following additional technical features:
optionally, the detecting the market force exertion capability of each market subject comprises:
if the residual supply index of any market main body is smaller than the preset standard residual supply index, judging that the residual supply index of the market main body exceeds the standard and has market capacity;
and if the residual supply index of the market main body is greater than or equal to the preset standard residual supply index, the market main body is qualified and does not have market capacity.
Optionally, the adjusting market competitive capacity of the market entity with market capability according to the power generation capacity control strategy comprises:
and dividing the declared capacity of the market main body into market competition capacity and control capacity according to the supply-demand ratio of the standard residual supply index, so that the market competition capacity of each market main body is adjusted under the condition that all the market main bodies do not have market capacity.
Optionally, the remaining supply index is calculated by the following formula:
wherein the content of the first and second substances,
remaining supply index, S, for market subject j0Total generation capacity, S, for all admitted market entitiesjGenerating capacity, D, of all admittance units i for the market subject j0Is the market total demand for the targeted trading period. Pi G maxRepresenting the power generation capacity of the unit i; omegajRepresenting a set of market subjects j.
Optionally, the objective function of the power system scheduling optimization is:
wherein N represents the total number of the units; t denotes the total number of time periods considered, Pi,tRepresenting the output of the unit i in the time t; ci,t(Pi,t) The operating cost of the unit i in the time period t is shown.
In order to achieve the above object, an embodiment of a second aspect of the present application provides an electric power system scheduling apparatus based on power generation capacity control in a market environment, including:
the computing module is used for acquiring the power generation capacity of all main bodies in the market, determining the market power consumption capacity of the market, and computing the market supply-demand ratio and the residual supply index of each market main body;
the detection module is used for setting a standard market surplus supply index of a fully competitive environment by taking the fully competitive supply-demand ratio as a guide so as to detect the market force capability of each market main body; and
the adjusting module is used for adjusting market competitive capacity of a market main body with market force capacity according to a power generation capacity control strategy;
and the optimization module is used for bringing the optimized and adjusted capacity constraints of each market main body into a market scheduling optimization model and carrying out whole-network scheduling optimization by taking the social welfare maximization as an optimization target.
Optionally, the detection module is specifically configured to:
if the residual supply index of any market main body is smaller than the preset standard residual supply index, judging that the residual supply index of the market main body exceeds the standard and has market capacity;
and if the residual supply index of the market main body is greater than or equal to the preset standard residual supply index, the market main body is qualified and does not have market capacity.
Optionally, the adjusting module is specifically configured to:
and dividing the declared capacity of the market main body into market competition capacity and control capacity according to the supply-demand ratio of the standard residual supply index, so that the market competition capacity of each market main body is adjusted under the condition that all the market main bodies do not have market capacity.
Optionally, the remaining supply index is calculated by the following formula:
wherein the content of the first and second substances,
remaining supply index, S, for market subject j0Total generation capacity, S, for all admitted market entitiesjGenerating capacity, D, of all admittance units i for the market subject j0Is the market total demand for the targeted trading period. Pi G maxRepresenting the power generation capacity of the unit i; omegajRepresenting a set of market subjects j.
Optionally, the objective function of the power system scheduling optimization is:
wherein N represents the total number of the units; t denotes the total number of time periods considered, Pi,tRepresenting the output of the unit i in the time t; ci,t(Pi,t) The operating cost of the unit i in the time period t is shown.
Therefore, by controlling the power generation competitive capacity of the market body, the competitive capacity of the market body with market capability is reduced in advance to reduce the market capability, thereby realizing the restoration of the fully competitive market environment and clearing the volume price result reflecting the market value.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart of a power system scheduling method based on generation capacity control in a market environment according to an embodiment of the present application;
FIG. 2 is a flow diagram of a method for power system scheduling based on generation capacity control in a market environment according to one embodiment of the present application;
FIG. 3 is a flow diagram of a method for scheduling a power system based on generation capacity control in a market environment according to an embodiment of the present application;
fig. 4 is an exemplary diagram of a power system scheduling device based on power generation capacity control in a market environment according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
The following describes a power system scheduling method and apparatus based on generation capacity control in a market environment according to an embodiment of the present application with reference to the drawings.
Specifically, fig. 1 is a schematic flow chart of a power system scheduling method based on power generation capacity control in a market environment according to an embodiment of the present application.
As shown in fig. 1, the power system scheduling method based on the generated power capacity control in the market environment includes the following steps:
in step S101, the power generation capacities of all the subjects in the market are acquired, the market power capacities of the market are determined, and the market demand-supply ratio and the remaining supply index of each market subject are calculated.
It is understood that the remaining supply index refers to the percentage of the total market demand that other power generation enterprises provide after deducting the capacity of a certain power generation enterprise.
Optionally, in some embodiments, the remaining supply index is calculated by the formula:
wherein the content of the first and second substances,
remaining supply index, S, for market subject j0Total generation capacity, S, for all admitted market entitiesjGenerating capacity, D, of all admittance units i for the market subject j0Is the market total demand for the targeted trading period. Pi G maxRepresenting the power generation capacity of the unit i; omegajRepresenting a set of market subjects j.
In step S102, a standard market remaining supply index of the fully competitive environment is set with the fully competitive supply-demand ratio as a guide to detect the market-performance capability of each market entity.
Optionally, in some embodiments, in combination with fig. 1 and 2, detecting market force exertion capabilities of each market subject comprises: if the residual supply index of any market main body is smaller than the preset standard residual supply index, judging that the residual supply index of the market main body exceeds the standard and has market capacity; if the residual supply index of the market main body is greater than or equal to the preset standard residual supply index, the market main body is qualified and does not have market capacity.
Specifically, the standard surplus supply index is set to
For any market subject j, if
The residual supply index of the market subject j exceeds the standard, namely the market capability is achieved; on the contrary, if
The remaining supply index of the market subject j is qualified, and the market capability is not available, and the market subject j is not processed.
In step S103, the market competition capacity of the market entity having market capacity is adjusted according to the power generation capacity control strategy.
That is, in some embodiments, with reference to fig. 1 and fig. 2, the embodiment of the present application may divide the declared capacity of the market main body into the market competition capacity and the regulated capacity according to the supply-demand ratio of the standard remaining supply index, so that the market competition capacity of each market main body is adjusted under the condition that all market main bodies are guaranteed not to have market capacity. Specifically, the exceeding critical capacity of the market main body with the exceeding residual supply index can be calculated according to the embodiment of the application
Exceedance
Is partly the regulated capacity
Namely:
wherein the content of the first and second substances,
where MP represents a market entity with potential market force, nMPIndicating the number of market entities with potential market potential.
Further, in order to ensure that the managed capacity and the market participation capacity are effective at the same time, the following requirements are required:
wherein the content of the first and second substances,
in step S104, the optimized and adjusted capacity constraints of each market entity are incorporated into the market scheduling optimization model, and the overall network scheduling optimization is performed with the social welfare maximization as the optimization target.
Optionally, in some embodiments, the objective function of the power system scheduling optimization is:
wherein N represents the total number of the units; t represents the total number of considered time periods, and T is 96 when 96 time periods are considered every day; pi,tRepresenting the output of the unit i in the time t; ci,t(Pi,t)、
Respectively the running cost and the starting cost of the unit i in the time period t, wherein the running cost C of the uniti,t(Pi,t) Is a multi-segment linear function related to each segment of output interval declared by the unit and the corresponding energy price.
The unit output expression is as follows:
wherein NM is the total number of stages quoted by the unit, Pi,t,mFor the winning power of the unit i in the mth output interval of the time t,
and the upper and lower boundaries of the mth output interval declared by the unit i are respectively set.
The unit operation cost expression is as follows:
wherein, Ci,mAnd (4) reporting the energy price corresponding to the m output interval for the unit i.
The constraint conditions of the power system scheduling optimization comprise:
(1) and (3) system load balance constraint: for each time period t, the load balancing constraint may be described as:
wherein, Pi,tRepresents the output of the unit i in the time period T, Tg,tRepresents the planned power of the tie-line g (positive input and negative output) over time period t, NT is the total number of tie-lines, DtThe system load for time period t.
(2) System spare capacity constraint:
wherein alpha isi,tTo representStart-stop state of unit i in time period t, alphai,t0 denotes a unit shutdown, αi,t1 represents the starting of the unit;
the maximum output of the unit i in the time period t is obtained;
the system positive spare capacity requirement for time period t;
the minimum output of the unit i in the time period t is obtained;
the system negative spare capacity requirement for time period t.
(3) And (3) restraining the upper and lower limits of the unit output: the output of the unit should be within its maximum/minimum output range, and its constraint condition can be described as:
(4) the market main body has market force upper and lower limit constraint:
wherein the content of the first and second substances,
for the minimum purge capacity of the power generating main body j,
is the out-of-standard critical capacity of the market subject j.
(5) And (3) system rotation standby constraint:
the up-regulation capability and the down-regulation capability of the unit output at each time interval need to meet the up-regulation, down-regulation rotation standby and partition rotation standby requirements of actual operation.
Wherein, Δ Pi UFor the unit i maximum climbing rate, Δ Pi DThe maximum downward climbing speed of the unit i;
respectively the maximum output and the minimum output of the unit i in the time period t; delta Pi U、ΔPi DThe standby requirements are respectively adjusted up and down for the time period t. MkThe number of units in the spare area is rotated for the kth zone,
respectively carrying out up-regulation and down-regulation rotation standby requirements on time period t in the kth partition rotation standby area SkAnd rotating the set of the units in the spare area for the kth subarea.
(6) And (3) restraining the upper and lower limits of the unit output:
the output of the unit should be within its maximum/minimum output range, and its constraint condition can be described as:
(7) unit climbing restraint:
when the unit climbs up or down, the requirement of climbing speed is met. The hill climbing constraint can be described as:
wherein, Δ Pi UFor the unit i maximum climbing rate, Δ Pi DThe maximum downward climbing rate of the unit i.
Minimum continuous on-off time constraint of unit
Due to the physical properties and actual operation requirements of the thermal power generating unit, the thermal power generating unit is required to meet minimum continuous startup/shutdown time. The minimum continuous on-off time constraint can be described as:
wherein alpha isi,tStarting and stopping a unit i at a time t; t isU、TDThe minimum continuous starting time and the minimum continuous stopping time of the unit are obtained;
for the time when the unit i has been continuously started and continuously stopped during the time period t, the state variable α can be usedi,t(i is 1 to N, and T is 1 to T):
(9) the maximum starting and stopping times of the unit is restrained:
first, the startup and shutdown switching variables are defined. Definition etai,tWhether the unit i is switched to a starting state in a time period t or not is judged; definition of gammai,tIndicating whether the unit i is switched to a standstill during a time period t, gammai,tThe following conditions are satisfied:
the limitation of the number of start-stop times of the corresponding unit i can be expressed as follows:
(10) and (3) line power flow constraint:
the line flow constraint may be described as:
wherein, Pl maxIs the tidal current transmission limit of line l; gl-iOutputting a power transfer distribution factor for a generator of a line l by a node where a unit i is located; gl-gOutputting a power transfer distribution factor for the generator of the link l by the node where the tie line g is located; k is the number of nodes of the system; gl-kA generator output power transfer distribution factor for node k to line l; dk,tIs node k at timeThe bus load value of section t.
Respectively, the positive and reverse power flow relaxation variables of the line l.
(11) And (3) section flow restraint:
considering the critical profile power flow constraint, the constraint can be described as:
wherein, Ps min、Ps maxRespectively the tidal current transmission limit of the section s; gs-iThe generator output power of the section s is transferred to a distribution factor for the node where the unit i is located; gs-gThe generator output power of the section s is transferred with a distribution factor for the node where the tie line g is located; gs-kThe generator output power transfer distribution factor is node k to section s.
Respectively the positive and reverse tide relaxation variables of the section s.
(12) And (3) output constraint of the new energy unit:
0≤Pi,t≤PiF,t(i∈E)
wherein E is a new energy unit set, PiF,tAnd (4) predicting the output of the new energy set i in the time period t. Namely, at each moment, the clear power value obtained by the market scheduling optimization of the new energy unit in the day before should not be larger than the reported output predicted value of the new energy unit.
(13) And (3) a constraint set of boundary conditions:
Pi,t≥B(Pi,t)
B(Pi,t) The method is characterized in that the method is a set of various boundary conditions of a unit i in a time period t, and comprises a contact line external power transmission curve formed by middle and long-term trading in provinces, and the unit is started and stopped when necessary due to safety constraint, voltage support, heat supply civil or government requirements. Namely, the output of the unit i in the time period t meets various boundary condition constraints of the market at the day before.
In order to further understand the scheduling method of the power system based on the power generation capacity control in the market environment of the embodiment of the present application, a specific embodiment is described below.
As shown in fig. 3, the method for scheduling a power system based on power generation capacity control in the market environment includes the following steps:
and S301, inputting market supply and demand information.
S302, calculating the remaining supply index of each market.
S303, judging whether the market has the ability of market exercising according to the remaining supply index of each market main body.
And S304, dividing the declared capacity of the power generation main body into market competitive capacity and control capacity.
And S305, calculating market competition capacity constraint of the market body.
And S306, bringing the obtained product into a market clearing model and uniformly clearing the product.
In conclusion, the method and the device utilize the principle of incentive compatibility, restore the fair and fair competition order of the market by adjusting the competition capacity of the market, and are favorable for realizing the maximization of social welfare. Specifically, the surplus supply index is used for screening power generation subjects with large competitive capacity in the market and judging that the power generation subjects have market capacity, for example, in the case of supply and demand shortage, economic persistence or physical persistence may be carried out at the time of quotation, and the optimal clearing price of market scheduling is pushed up at the expense of partial electric quantity, so that excess profit is obtained. If the method of the embodiment of the application is adopted, if the market operating mechanism detects that some market members possibly use market power, the market competition capacity of the market members is adjusted according to the market remaining supply index, the electric quantity without the market power participates in the market competition, the rest part of the electric quantity does not participate in the market competition, but participates in the electric quantity supply and demand balance as a receiver of the market scheduling optimization price, and the power generation main body with the larger market share originally does not have the quantity capable of influencing the market pattern any more after being adjusted, so that the state of the market fair competition is restored; if the price is still quoted according to the original strategy of 'exchange for price', the competitive electric quantity can not be cleared with a high probability, so that the excess profit can not be obtained, and the self profit can be reduced. Therefore, after the method of the embodiment of the application is implemented, the main body with potential market force does not have the motivation of 'trading volume by price', and only quoted according to the real cost can give out more electric quantity and obtain more benefits.
According to the power system scheduling method based on the power generation capacity control in the market environment, the power generation competitive capacity of the market main body is controlled, the competitive capacity of the market main body with market capacity is reduced in advance, the market capacity is reduced, the fully competitive market environment is restored, and the volume and price result reflecting the market value is cleared.
Next, a power system scheduling apparatus based on power generation capacity control in a market environment proposed according to an embodiment of the present application is described with reference to the drawings.
Fig. 4 is a block diagram illustrating an electric power system scheduling apparatus based on power generation capacity control in a market environment according to an embodiment of the present application.
As shown in fig. 4, the power system scheduling apparatus 10 based on the generated power capacity control in this market environment includes: a calculation module 100, a detection module 200, an adjustment module 300 and an optimization module 400.
The calculating module 100 is configured to obtain power generation capacities of all market bodies, determine market power capacities of the market, and calculate market supply-demand ratios and remaining supply indexes of each market body;
the detection module 200 is configured to set a standard market remaining supply index of a fully competitive environment under guidance of a fully competitive supply-demand ratio to detect market force capability of each market subject; and
the adjusting module 300 is configured to adjust market competitive capacity of a market subject having market force capability according to a power generation capacity control strategy;
the optimization module 400 is configured to incorporate the optimized and adjusted capacity constraints of each market subject into a market scheduling optimization model, and perform the scheduling optimization of the whole network with the social welfare maximization as an optimization target.
Optionally, in some examples, the detection module is specifically configured to:
if the residual supply index of any market main body is smaller than the preset standard residual supply index, judging that the residual supply index of the market main body exceeds the standard and has market capacity;
if the residual supply index of the market main body is greater than or equal to the preset standard residual supply index, the market main body is qualified and does not have market capacity.
Optionally, in some examples, the adjusting module is specifically configured to:
and dividing the declared capacity of the market main body into market competition capacity and control capacity according to the supply-demand ratio of the standard residual supply index, so that the market competition capacity of each market main body is adjusted under the condition that all the market main bodies do not have market capacity.
Optionally, in some examples, the remaining supply index is calculated by:
wherein the content of the first and second substances,
remaining supply index, S, for market subject j0Total generation capacity, S, for all admitted market entitiesjGenerating capacity, D, of all admittance units i for the market subject j0Is the market total demand for the targeted trading period. Pi G maxRepresenting the power generation capacity of the unit i; omegajRepresenting a set of market subjects j.
Optionally, in some examples, the objective function of the power system schedule optimization is:
wherein N represents the total number of the units; t denotes the total number of time periods considered, Pi,tRepresenting the output of the unit i in the time t; ci,t(Pi,t) The operating cost of the unit i in the time period t is shown.
It should be noted that the foregoing explanation of the embodiment of the power system scheduling method based on power generation capacity control in a market environment is also applicable to the power system scheduling apparatus based on power generation capacity control in a market environment of this embodiment, and details are not repeated here.
According to the power system scheduling device based on the power generation capacity control in the market environment provided by the embodiment of the application, the power generation competitive capacity of the market body is controlled, so that the competitive capacity of the market body with market capacity is reduced in advance to reduce the market capacity, the fully competitive market environment is restored, and the volume and price result reflecting the market value is clarified.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "N" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more N executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of implementing the embodiments of the present application.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or N wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. A power system scheduling method based on power generation capacity control in a market environment is characterized by comprising the following steps:
acquiring the power generation capacity of all main bodies in the market, determining the market power consumption capacity of the market, and calculating the market supply-demand ratio and the residual supply index of each market main body;
setting a standard market surplus supply index of a fully competitive environment by taking a fully competitive supply-demand ratio as a guide so as to detect market force capability of each market main body; and
adjusting market competitive capacity of a market main body with market force capability according to a power generation capacity control strategy;
and (4) bringing the optimized and adjusted capacity constraints of each market main body into a market scheduling optimization model, and performing whole network scheduling optimization by taking social welfare maximization as an optimization target.
2. The method of claim 1, wherein said detecting market force capability of each market entity comprises:
if the residual supply index of any market main body is smaller than the preset standard residual supply index, judging that the residual supply index of the market main body exceeds the standard and has market capacity;
and if the residual supply index of the market main body is greater than or equal to the preset standard residual supply index, the market main body is qualified and does not have market capacity.
3. The method of claim 1, wherein adjusting market competitive capacity of market-capable market entities according to a power generation capacity control strategy comprises:
and dividing the declared capacity of the market main body into market competition capacity and control capacity according to the supply-demand ratio of the standard residual supply index, so that the market competition capacity of each market main body is adjusted under the condition that all the market main bodies do not have market capacity.
4. The method of claim 1, wherein the residual supply index is calculated by the formula:
wherein the content of the first and second substances,
remaining supply index, S, for market subject j0Total generation capacity, S, for all admitted market entitiesjGenerating capacity, D, of all admittance units i for the market subject j0Is the market total demand for the targeted trading period. Pi GmaxRepresenting the power generation capacity of the unit i; omegajRepresenting a set of market subjects j.
5. The method of claim 1, wherein the objective function for power system scheduling optimization is:
wherein N represents the total number of the units; t denotes the total number of time periods considered, Pi,tRepresenting the output of the unit i in the time t; ci,t(Pi,t) The operating cost of the unit i in the time period t is shown.
6. A power system scheduling device based on power generation capacity control in a market environment is characterized by comprising the following steps:
the computing module is used for acquiring the power generation capacity of all main bodies in the market, determining the market power consumption capacity of the market, and computing the market supply-demand ratio and the residual supply index of each market main body;
the detection module is used for setting a standard market surplus supply index of a fully competitive environment by taking the fully competitive supply-demand ratio as a guide so as to detect the market force capability of each market main body; and
the adjusting module is used for adjusting market competitive capacity of a market main body with market force capacity according to a power generation capacity control strategy;
and the optimization module is used for bringing the optimized and adjusted capacity constraints of each market main body into a market scheduling optimization model and carrying out whole-network scheduling optimization by taking the social welfare maximization as an optimization target.
7. The apparatus according to claim 6, wherein the detection module is specifically configured to:
if the residual supply index of any market main body is smaller than the preset standard residual supply index, judging that the residual supply index of the market main body exceeds the standard and has market capacity;
and if the residual supply index of the market main body is greater than or equal to the preset standard residual supply index, the market main body is qualified and does not have market capacity.
8. The apparatus of claim 6, wherein the adjustment module is specifically configured to:
and dividing the declared capacity of the market main body into market competition capacity and control capacity according to the supply-demand ratio of the standard residual supply index, so that the market competition capacity of each market main body is adjusted under the condition that all the market main bodies do not have market capacity.
9. The apparatus of claim 6, wherein the remaining supply index is calculated by the formula:
wherein the content of the first and second substances,
remaining supply index, S, for market subject j0Total generation capacity, S, for all admitted market entitiesjGenerating capacity, D, of all admittance units i for the market subject j0Is the market total demand for the targeted trading period. Pi GmaxRepresenting the power generation capacity of the unit i; omegajRepresenting a set of market subjects j.
10. The apparatus of claim 6, wherein the objective function for power system schedule optimization is:
wherein N represents the total number of the units; t denotes the total number of time periods considered, Pi,tRepresenting the output of the unit i in the time t; ci,t(Pi,t) The operating cost of the unit i in the time period t is shown.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030182250A1 (en) * | 2002-03-19 | 2003-09-25 | Mohammad Shihidehpour | Technique for forecasting market pricing of electricity |
| CN108022178A (en) * | 2017-11-16 | 2018-05-11 | 清华大学 | The electricity that market supply and demand is adjusted based on remaining supply index goes out clearing method and device |
| CN111047473A (en) * | 2019-12-26 | 2020-04-21 | 广东电网有限责任公司管理科学研究院 | Electric power spot market prediction method, device, terminal and storage medium |
| CN111445154A (en) * | 2020-03-31 | 2020-07-24 | 广东电网有限责任公司电力调度控制中心 | Power market resource self-scheduling optimization method, system and equipment |
| CN111461774A (en) * | 2020-03-27 | 2020-07-28 | 南方电网科学研究院有限责任公司 | Power transmission network management system considering market power |
| CN111797892A (en) * | 2020-05-21 | 2020-10-20 | 国电南瑞科技股份有限公司 | Electric power market generator market force monitoring method based on random forest regression |
-
2020
- 2020-10-28 CN CN202011176043.7A patent/CN112350308A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030182250A1 (en) * | 2002-03-19 | 2003-09-25 | Mohammad Shihidehpour | Technique for forecasting market pricing of electricity |
| CN108022178A (en) * | 2017-11-16 | 2018-05-11 | 清华大学 | The electricity that market supply and demand is adjusted based on remaining supply index goes out clearing method and device |
| CN111047473A (en) * | 2019-12-26 | 2020-04-21 | 广东电网有限责任公司管理科学研究院 | Electric power spot market prediction method, device, terminal and storage medium |
| CN111461774A (en) * | 2020-03-27 | 2020-07-28 | 南方电网科学研究院有限责任公司 | Power transmission network management system considering market power |
| CN111445154A (en) * | 2020-03-31 | 2020-07-24 | 广东电网有限责任公司电力调度控制中心 | Power market resource self-scheduling optimization method, system and equipment |
| CN111797892A (en) * | 2020-05-21 | 2020-10-20 | 国电南瑞科技股份有限公司 | Electric power market generator market force monitoring method based on random forest regression |
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