CN112242707B - Coordinated scheduling method and system for wind, fire, storage and direct current system - Google Patents
Coordinated scheduling method and system for wind, fire, storage and direct current system 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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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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
- H02J3/36—Arrangements for transfer of electric power between ac networks via a high-tension dc link
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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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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
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- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/60—Arrangements for transfer of electric power between AC networks or generators via a high voltage DC link [HVCD]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
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Abstract
The application relates to a coordination scheduling method and a system of a wind, fire, storage and direct current system, wherein the coordination scheduling method comprises the following steps: determining the optimal charge and discharge power of the energy storage system according to the wind power output of the wind-fire bundling and delivering system; determining the actual transmission power of the extra-high voltage direct current according to the rated transmission power of the extra-high voltage direct current, and determining the optimal thermal power output of the wind-fire bundling and transmitting system by utilizing the actual transmission power of the extra-high voltage direct current; and controlling the charge and discharge power of the energy storage system to be the optimal charge and discharge power, and controlling the thermal power output of the wind-fire bundling and delivering system to be the optimal thermal power output. The technical scheme provided by the application fully utilizes the charge-discharge and power response advantages of the energy storage system, brings the energy storage system into a schedulable peak regulation resource, ensures the stability of the output force of the wind, fire and storage combined system, and simultaneously improves the utilization rate of the direct current transmission channel and the wind power absorption capacity of the receiving end power grid.
Description
Technical Field
The application belongs to the field of coordinated scheduling of power systems, and particularly relates to a coordinated scheduling method and system of a wind system, a fire system, a storage system and a direct current system.
Background
With the increasing exhaustion of fossil energy and the increasing environmental pressure, strategic adjustment of energy structures is particularly important, and clean energy mainly comprising renewable energy is important in various energy development strategies.
In recent years, wind power development is rapid, however, wind power resources and loads are reversely distributed, the absorption capacity of a region with rich wind power resources tends to be saturated, a wind abandoning phenomenon is commonly generated, and an extra-high voltage direct current transmission mode with good controllability and large transmission capacity is a main means for carrying out large-scale wind power trans-regional transmission and absorption. The wind power output has the characteristics of fluctuation and intermittence, and in the process of carrying out extra-high voltage direct current transmission cross-region absorption, if the direct current channel singly transmits wind power, a certain amount of wind abandoning is caused due to the operation constraint of the circuit and the fluctuation of the wind power, and the utilization rate of the direct current transmission channel is not high. In order to better match with wind power delivery and absorption, the utilization rate of the direct current conveying channel is improved, and a wind fire bundling and delivery mode is adopted.
The controllability of thermal power generation is stronger than that of wind power generation, and the thermal power generation can be complementary with the wind power generation, so that the utilization rate and the stability of a direct current transmission channel are improved. The mode of bundling and delivering wind and fire requires that the thermal power has certain peak regulation capability, but the wind power resource enrichment area is generally low in load level, the power grid framework is weak, the peak regulation capability is weak, and the construction of a matched large-scale thermal power plant for meeting the regulation requirement of bundling and delivering wind and fire does not meet the original purpose of clean energy development and utilization. Therefore, in order to better match with wind and fire bundling and delivery, it is necessary to provide a coordinated scheduling method and system for improving wind power absorption capacity and the utilization rate of a direct current transmission channel.
Disclosure of Invention
Aiming at the defects of the prior art, the application aims to provide a coordinated scheduling method and a coordinated scheduling system for a wind, fire, storage and direct-current system for improving the wind power absorption capacity and the utilization rate of a direct-current transmission channel, which can utilize the charge-discharge and rapid power response characteristics of an energy storage system to carry out wind power output fluctuation adjustment in combination with thermal power, ensure the stability of the output power of the wind, fire and storage combined system, and improve the utilization rate of the direct-current transmission channel and the wind power absorption capacity of a receiving-end power grid.
The application aims at adopting the following technical scheme:
in a method for coordinated scheduling of wind, fire, storage and dc systems, the improvement comprising:
determining the optimal charge and discharge power of the energy storage system according to the wind power output of the wind-fire bundling and delivering system;
determining the actual transmission power of the extra-high voltage direct current according to the rated transmission power of the extra-high voltage direct current, and determining the optimal thermal power output of the wind-fire bundling and transmitting system by utilizing the actual transmission power of the extra-high voltage direct current;
and controlling the charge and discharge power of the energy storage system to be the optimal charge and discharge power, and controlling the thermal power output of the wind-fire bundling and delivering system to be the optimal thermal power output.
Preferably, the determining the optimal charge and discharge power of the energy storage system according to the wind power output of the wind-fire bundling and delivering system includes:
substituting the wind power output of the wind-fire bundling and sending system into a pre-established wind power maximization absorption model;
and solving the pre-established wind power maximization absorption model to obtain the optimal charge and discharge power of the energy storage system.
Further, an objective function in the pre-established wind power maximization absorption model is determined as follows:
in the formula ,F1 For abandoning wind of wind power system, P wpre·t Wind power output for t scheduling period, P wDC·t Wind power passing direct current power transmission for t scheduling period, P wlocal·t Locally consumed wind power for the t-th scheduling period, P ES·t Charging and discharging power of the energy storage system in the T scheduling period, beta is a wind abandoning punishment factor, and T is the total number of scheduling periods in the whole day;
determining a power balance constraint of the transmission power of the direct current transmission system in the pre-established wind power maximization absorption model according to the following steps:
in the formula ,PDC·t The power is actually transmitted for the extra-high voltage direct current of the t scheduling period,output of ith thermal power generating unit in t scheduling period, N G The number of the thermal power generating units matched with the extra-high voltage direct current is counted;
determining energy storage system operation constraints in the pre-established wind power maximization absorption model according to the following steps:
|P ES·t |≤P ESN
in the formula ,PESN For rated power of energy storage system, SOC 0 To the initial state of charge, SOC, of the energy storage system low As the minimum limit value of the charge state, SOC up Is the maximum limit value of the charge state, E N For the rated capacity of the energy storage system, et]To cut off the energy storage system charge and discharge to the t scheduling period,t＝1,2...T，P ES·j charging and discharging power T of energy storage system in jth scheduling period s Is the time interval of the scheduling period.
Preferably, the determining the actual transmission power of the extra-high voltage direct current according to the rated transmission power of the extra-high voltage direct current includes:
substituting the rated transmission power of the extra-high voltage direct current into a pre-established maximum utilization rate model of the extra-high voltage direct current channel;
and solving the pre-established maximum utilization rate model of the extra-high voltage direct current channel to obtain the extra-high voltage direct current actual transmission power.
Further, determining an objective function in the pre-established extra-high voltage direct current channel maximum utilization rate model according to the following formula:
in the formula ,F2 P is the power non-utilization DCN Is of extra-high voltageRated DC power supply, P DC·t The actual transmission power of the extra-high voltage direct current is the t scheduling period;
determining a power transmission balance constraint of a direct current transmission system in the pre-established ultra-high voltage direct current channel maximum utilization rate model according to the following steps:
in the formula ,PwDC·t Wind power for the t scheduling period is delivered by direct current,output of ith thermal power generating unit in t scheduling period, N G The number of the thermal power generating units matched with the extra-high voltage direct current is counted;
determining upper and lower limit constraints of direct current transmission power in the pre-established ultra-high voltage direct current channel maximum utilization rate model according to the following steps:
P DCmin ≤P DC·t ≤P DCmax
in the formula ,PDCmin A lower power limit for DC delivery; p (P) DCmax The upper limit of the power is transmitted for direct current;
determining a direct current operation adjustment constraint in the pre-established extra-high voltage direct current channel maximum utilization rate model according to the following steps:
in the formula, if P DC·t When the adjustment is performed, S DC·t =1, if P DC·t If not adjusted S DC·t ＝0，T on Minimum adjustment of the number of scheduling periods for DC, N DCdis The total time limit value is adjusted for the direct current in the dispatching day;
determining a direct current climbing power constraint in the pre-established ultra-high voltage direct current channel maximum utilization rate model according to the following steps:
in the formula ,PDC·t-1 The actual power is transmitted for the extra-high voltage direct current of the t-1 scheduling period,the upper limit of the DC climbing power is set; />Is the lower limit of the DC climbing power.
Preferably, the determining the optimal thermal power output of the wind-fire bundling and delivering system by using the extra-high voltage direct current actual delivery power includes:
determining the optimal thermal power output P of the wind-fire bundling and delivering system according to the following steps:
in the formula ,PDC·t Actual extra-high voltage direct current transmission power P for t scheduling period wDC·t The wind power for the t scheduling period is the power sent by direct current,the output of the ith thermal power generating unit in the t scheduling period; n (N) G The number of the thermal power generating units matched with the extra-high voltage direct current is counted;
wherein ,needs to meet-> and /> The lower limit of the output of the ith thermal power unit is +.>The upper limit of the output force of the ith thermal power generating unit is +.>The output of the ith thermal power generating unit in the t-1 scheduling period,the climbing power upper limit of the ith thermal power unit; />The climbing power lower limit of the ith thermal power generating unit.
In a coordinated scheduling system for wind, fire, storage and direct current systems, the improvement comprising:
the first determining unit is used for determining the optimal charge and discharge power of the energy storage system according to the wind power output of the wind-fire bundling and delivering system;
the second determining unit is used for determining the actual extra-high voltage direct current transmission power according to the rated extra-high voltage direct current transmission power;
the third determining unit is used for determining the optimal thermal power output of the wind-fire bundling and delivering system by utilizing the extra-high voltage direct current actual delivery power;
and the control unit is used for controlling the charge and discharge power of the energy storage system to be the optimal charge and discharge power and controlling the thermal power output of the wind-fire bundling and delivering system to be the optimal thermal power output.
Preferably, the first determining unit includes:
the first generation input module is used for substituting the wind power output of the wind-fire bundling and sending system into a pre-established wind power maximization absorption model;
the first acquisition module is used for solving the pre-established wind power maximization absorption model and acquiring the optimal charge and discharge power of the energy storage system.
Further, an objective function in the pre-established wind power maximization absorption model is determined as follows:
in the formula ,F1 For abandoning wind of wind power system, P wpre·t Wind power output for t scheduling period, P wDC·t Wind power passing direct current power transmission for t scheduling period, P wlocal·t Locally consumed wind power for the t-th scheduling period, P ES · t Charging and discharging power of the energy storage system in the T scheduling period, beta is a wind abandoning punishment factor, and T is the total number of scheduling periods in the whole day;
determining a power balance constraint of the transmission power of the direct current transmission system in the pre-established wind power maximization absorption model according to the following steps:
in the formula ,PDC·t The power is actually transmitted for the extra-high voltage direct current of the t scheduling period,output of ith thermal power generating unit in t scheduling period, N G The number of the thermal power generating units matched with the extra-high voltage direct current is counted;
determining energy storage system operation constraints in the pre-established wind power maximization absorption model according to the following steps:
|P ES·t |≤P ESN
in the formula ,PESN For rated power of energy storage system, SOC 0 To the initial state of charge, SOC, of the energy storage system low As the minimum limit value of the charge state, SOC up Is the maximum limit value of the charge state, E N For the rated capacity of the energy storage system, et]To cut off the energy storage system charge and discharge to the t scheduling period,t＝1,2...T，P ES·i charging and discharging power T of energy storage system in ith scheduling period s Is the time interval of the scheduling period.
Preferably, the second determining unit includes:
the second substitution module is used for substituting the rated transmission power of the extra-high voltage direct current into a pre-established maximum utilization rate model of the extra-high voltage direct current channel;
the second acquisition module is used for solving the pre-established maximum utilization rate model of the extra-high voltage direct current channel and acquiring the extra-high voltage direct current actual transmission power.
Further, determining an objective function in the pre-established extra-high voltage direct current channel maximum utilization rate model according to the following formula:
in the formula ,F2 P is the power non-utilization DCN Rated power for extra-high voltage direct current, P DC·t The actual transmission power of the extra-high voltage direct current is the t scheduling period;
determining a power transmission balance constraint of a direct current transmission system in the pre-established ultra-high voltage direct current channel maximum utilization rate model according to the following steps:
in the formula ,PwDC·t Wind power for the t scheduling period is delivered by direct current,output of ith thermal power generating unit in t scheduling period, N G The number of the thermal power generating units matched with the extra-high voltage direct current is counted;
determining upper and lower limit constraints of direct current transmission power in the pre-established ultra-high voltage direct current channel maximum utilization rate model according to the following steps:
P DCmin ≤P DC·t ≤P DCmax
in the formula ,PDCmin A lower power limit for DC delivery; p (P) DCmax The upper limit of the power is transmitted for direct current;
determining a direct current operation adjustment constraint in the pre-established extra-high voltage direct current channel maximum utilization rate model according to the following steps:
in the formula, if P DC·t When the adjustment is performed, S DC·t =1, if P DC·t If not adjusted S DC·t ＝0，T on Minimum adjustment of the number of scheduling periods for DC, N DCdis The total time limit value is adjusted for the direct current in the dispatching day;
determining a direct current climbing power constraint in the pre-established ultra-high voltage direct current channel maximum utilization rate model according to the following steps:
in the formula ,PDC·t-1 The actual power is transmitted for the extra-high voltage direct current of the t-1 scheduling period,the upper limit of the DC climbing power is set; />Is the lower limit of the DC climbing power.
Preferably, the third determining unit is specifically configured to:
determining the optimal thermal power output P of the wind-fire bundling and delivering system according to the following steps:
in the formula ,PDC·t Actual extra-high voltage direct current transmission power P for t scheduling period wDC·t The wind power for the t scheduling period is the power sent by direct current,the output of the ith thermal power generating unit in the t scheduling period; n (N) G The number of the thermal power generating units matched with the extra-high voltage direct current is counted;
wherein ,needs to meet-> and /> The lower limit of the output of the ith thermal power unit is +.>The upper limit of the output force of the ith thermal power generating unit is +.>The output of the ith thermal power generating unit in the t-1 scheduling period,the climbing power upper limit of the ith thermal power unit; />The climbing power lower limit of the ith thermal power generating unit.
Compared with the closest prior art, the application has the following beneficial effects:
the technical scheme provided by the application aims at improving the wind power consumption and the utilization rate of the direct current transmission channel, considers the operation constraint of the direct current transmission system, the thermal power generating unit and the energy storage system, takes the minimum wind power waste air quantity and the highest utilization rate of the direct current transmission channel as objective functions, fully utilizes the advantages of the charge-discharge and power response characteristics of the energy storage system, breaks through the limitation that the extra-high voltage direct current only considers the traditional units such as matched thermal power and the like as scheduling resources, brings the energy storage system into the schedulable peak-shaving resources, realizes the joint stable operation of the wind power, the fire power, the storage and the direct current system through the joint optimization scheduling of the wind power, the fire power, the storage and the direct current system, effectively reduces the wind power waste electric quantity, improves the wind power consumption capability, fully utilizes the transmission capability of the direct current transmission channel, optimizes the operation curve of the direct current transmission system and improves the utilization rate of the direct current transmission channel.
Drawings
FIG. 1 is a flow chart of a coordinated scheduling method for wind, fire, storage and DC systems in an embodiment of the application;
fig. 2 is a schematic diagram of a coordinated dispatching system of wind, fire, storage and direct current systems according to an embodiment of the application.
Detailed Description
The following describes the embodiments of the present application in further detail with reference to the drawings.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The application provides a coordination scheduling method of a wind, fire, storage and direct current system, as shown in fig. 1, the method comprises the following steps:
step 101, determining optimal charge and discharge power of an energy storage system according to wind power output of a wind-fire bundling and delivery system;
step 102, determining the actual transmission power of the extra-high voltage direct current according to the rated transmission power of the extra-high voltage direct current, and determining the optimal thermal power output of the wind-fire bundling and transmitting system by utilizing the actual transmission power of the extra-high voltage direct current;
and 103, controlling the charge and discharge power of the energy storage system to be the optimal charge and discharge power, and controlling the thermal power output of the wind-fire bundling and delivering system to be the optimal thermal power output.
Further, the step 101 includes:
substituting the wind power output of the wind-fire bundling and sending system into a pre-established wind power maximization absorption model;
and solving the pre-established wind power maximization absorption model to obtain the optimal charge and discharge power of the energy storage system.
Specifically, the objective function in the pre-established wind power maximization absorption model is determined according to the following formula:
in the formula ,F1 For abandoning wind of wind power system, P wpre·t Wind power output for t scheduling period, P wDC·t Wind power passing direct current power transmission for t scheduling period, P wlocal·t Locally consumed wind power for the t-th scheduling period, P ES·t Charging and discharging power of the energy storage system in the T scheduling period, beta is a wind abandoning punishment factor, and T is the total number of scheduling periods in the whole day;
determining a power balance constraint of the transmission power of the direct current transmission system in the pre-established wind power maximization absorption model according to the following steps:
in the formula ,PDC·t The power is actually transmitted for the extra-high voltage direct current of the t scheduling period,output of ith thermal power generating unit in t scheduling period, N G The number of the thermal power generating units matched with the extra-high voltage direct current is counted;
determining energy storage system operation constraints in the pre-established wind power maximization absorption model according to the following steps:
|P ES·t |≤P ESN
in the formula ,PESN For rated power of energy storage system, SOC 0 To the initial state of charge, SOC, of the energy storage system low As the minimum limit value of the charge state, SOC up Is the maximum limit value of the charge state, E N For the rated capacity of the energy storage system, et]To cut off the energy storage system charge and discharge to the t scheduling period,t＝1,2...T，P ES·j charging and discharging power T of energy storage system in jth scheduling period s Is the time interval of the scheduling period.
Further, in step 102, determining the actual uhv dc power according to the rated uhv dc power includes:
substituting the rated transmission power of the extra-high voltage direct current into a pre-established maximum utilization rate model of the extra-high voltage direct current channel;
and solving the pre-established maximum utilization rate model of the extra-high voltage direct current channel to obtain the extra-high voltage direct current actual transmission power.
Specifically, determining an objective function in the pre-established extra-high voltage direct current channel maximum utilization rate model according to the following formula:
in the formula ,F2 P is the power non-utilization DCN Rated power for extra-high voltage direct current, P DC·t The actual transmission power of the extra-high voltage direct current is the t scheduling period;
determining a power transmission balance constraint of a direct current transmission system in the pre-established ultra-high voltage direct current channel maximum utilization rate model according to the following steps:
in the formula ,PwDC·t Wind power for the t scheduling period is delivered by direct current,output of ith thermal power generating unit in t scheduling period, N G The number of the thermal power generating units matched with the extra-high voltage direct current is counted;
determining upper and lower limit constraints of direct current transmission power in the pre-established ultra-high voltage direct current channel maximum utilization rate model according to the following steps:
P DCmin ≤P DC·t ≤P DCmax
in the formula ,PDCmin A lower power limit for DC delivery; p (P) DCmax The upper limit of the power is transmitted for direct current;
determining a direct current operation adjustment constraint in the pre-established extra-high voltage direct current channel maximum utilization rate model according to the following steps:
in the formula, if P DC·t When the adjustment is performed, S DC·t =1, if P DC·t If not adjusted S DC·t ＝0，T on Minimum adjustment of the number of scheduling periods for DC, N DCdis The total time limit value is adjusted for the direct current in the dispatching day;
determining a direct current climbing power constraint in the pre-established ultra-high voltage direct current channel maximum utilization rate model according to the following steps:
in the formula ,PDC·t-1 The actual power is transmitted for the extra-high voltage direct current of the t-1 scheduling period,the upper limit of the DC climbing power is set; />Is the lower limit of the DC climbing power.
Specifically, in step 102, after determining the actual transmission power of the extra-high voltage direct current, determining the optimal thermal power output of the wind-fire bundling and delivering system by using the actual transmission power of the extra-high voltage direct current includes:
determining the optimal thermal power output P of the wind-fire bundling and delivering system according to the following steps:
in the formula ,PDC·t Actual extra-high voltage direct current transmission power P for t scheduling period wDC·t The wind power for the t scheduling period is the power sent by direct current,the output of the ith thermal power generating unit in the t scheduling period; n (N) G The number of the thermal power generating units matched with the extra-high voltage direct current is counted;
wherein ,needs to meet-> and /> The lower limit of the output of the ith thermal power unit is +.>The upper limit of the output force of the ith thermal power generating unit is +.>The output of the ith thermal power generating unit in the t-1 scheduling period,the climbing power upper limit of the ith thermal power unit; />The climbing power lower limit of the ith thermal power generating unit.
The application also provides a coordination scheduling system of the wind, fire, storage and direct current system, as shown in fig. 2, the coordination scheduling system comprises:
the first determining unit is used for determining the optimal charge and discharge power of the energy storage system according to the wind power output of the wind-fire bundling and delivering system;
the second determining unit is used for determining the actual extra-high voltage direct current transmission power according to the rated extra-high voltage direct current transmission power;
the third determining unit is used for determining the optimal thermal power output of the wind-fire bundling and delivering system by utilizing the extra-high voltage direct current actual delivery power;
and the control unit is used for controlling the charge and discharge power of the energy storage system to be the optimal charge and discharge power and controlling the thermal power output of the wind-fire bundling and delivering system to be the optimal thermal power output.
Further, the first determining unit includes:
the first generation input module is used for substituting the wind power output of the wind-fire bundling and sending system into a pre-established wind power maximization absorption model;
the first acquisition module is used for solving the pre-established wind power maximization absorption model and acquiring the optimal charge and discharge power of the energy storage system.
Specifically, the objective function in the pre-established wind power maximization absorption model is determined according to the following formula:
in the formula ,F1 For abandoning wind of wind power system, P wpre·t Wind power output for t scheduling period, P wDC·t Wind power passing direct current power transmission for t scheduling period, P wlocal·t Locally consumed wind power for the t-th scheduling period, P ES·t Charging and discharging power of the energy storage system in the T scheduling period, beta is a wind abandoning punishment factor, and T is the total number of scheduling periods in the whole day;
determining a power balance constraint of the transmission power of the direct current transmission system in the pre-established wind power maximization absorption model according to the following steps:
in the formula ,PDC·t The power is actually transmitted for the extra-high voltage direct current of the t scheduling period,output of ith thermal power generating unit in t scheduling period, N G The number of the thermal power generating units matched with the extra-high voltage direct current is counted;
determining energy storage system operation constraints in the pre-established wind power maximization absorption model according to the following steps:
|P ES·t |≤P ESN
in the formula ,PESN For rated power of energy storage system, SOC 0 To the initial state of charge, SOC, of the energy storage system low As the minimum limit value of the charge state, SOC up Is the maximum limit value of the charge state, E N For the rated capacity of the energy storage system, et]To cut off the energy storage system charge and discharge to the t scheduling period,t＝1,2...T，P ES·i charging and discharging power T of energy storage system in ith scheduling period s Is the time interval of the scheduling period.
Further, the second determining unit includes:
the second substitution module is used for substituting the rated transmission power of the extra-high voltage direct current into a pre-established maximum utilization rate model of the extra-high voltage direct current channel;
the second acquisition module is used for solving the pre-established maximum utilization rate model of the extra-high voltage direct current channel and acquiring the extra-high voltage direct current actual transmission power.
Specifically, determining an objective function in the pre-established extra-high voltage direct current channel maximum utilization rate model according to the following formula:
in the formula ,F2 P is the power non-utilization DCN Rated power for extra-high voltage direct current, P DC·t The actual transmission power of the extra-high voltage direct current is the t scheduling period;
determining a power transmission balance constraint of a direct current transmission system in the pre-established ultra-high voltage direct current channel maximum utilization rate model according to the following steps:
in the formula ,PwDC·t Wind power for the t scheduling period is delivered by direct current,output of ith thermal power generating unit in t scheduling period, N G The number of the thermal power generating units matched with the extra-high voltage direct current is counted;
determining upper and lower limit constraints of direct current transmission power in the pre-established ultra-high voltage direct current channel maximum utilization rate model according to the following steps:
P DCmin ≤P DC·t ≤P DCmax
in the formula ,PDCmin A lower power limit for DC delivery; p (P) DCmax The upper limit of the power is transmitted for direct current;
determining a direct current operation adjustment constraint in the pre-established extra-high voltage direct current channel maximum utilization rate model according to the following steps:
in the formula, if P DC·t When the adjustment is performed, S DC·t =1, if P DC·t If not adjusted S DC·t ＝0，T on Minimum adjustment of the number of scheduling periods for DC, N DCdis The total time limit value is adjusted for the direct current in the dispatching day;
determining a direct current climbing power constraint in the pre-established ultra-high voltage direct current channel maximum utilization rate model according to the following steps:
in the formula ,PDC·t-1 The actual power is transmitted for the extra-high voltage direct current of the t-1 scheduling period,the upper limit of the DC climbing power is set; />Is the lower limit of the DC climbing power.
Specifically, the third determining unit is specifically configured to:
determining the optimal thermal power output P of the wind-fire bundling and delivering system according to the following steps:
in the formula ,PDC·t Actual extra-high voltage direct current transmission power P for t scheduling period wDC·t The wind power for the t scheduling period is the power sent by direct current,the output of the ith thermal power generating unit in the t scheduling period; n (N) G The number of the thermal power generating units matched with the extra-high voltage direct current is counted;
wherein ,needs to meet-> and /> The lower limit of the output of the ith thermal power unit is +.>The upper limit of the output force of the ith thermal power generating unit is +.>The output of the ith thermal power generating unit in the t-1 scheduling period,the climbing power upper limit of the ith thermal power unit; />The climbing power lower limit of the ith thermal power generating unit.
It will be appreciated by those skilled in the art that 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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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 aspects of the present application and not for limiting the same, and although the present application has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the application without departing from the spirit and scope of the application, which is intended to be covered by the claims.
Claims (8)
1. A method for coordinated scheduling of wind, fire, storage and dc systems, the method comprising:
determining the optimal charge and discharge power of the energy storage system according to the wind power output of the wind-fire bundling and delivering system;
determining the actual transmission power of the extra-high voltage direct current according to the rated transmission power of the extra-high voltage direct current, and determining the optimal thermal power output of the wind-fire bundling and transmitting system by utilizing the actual transmission power of the extra-high voltage direct current;
controlling the charge and discharge power of the energy storage system to be the optimal charge and discharge power, and controlling the thermal power output of the wind-fire bundling and delivering system to be the optimal thermal power output;
the determining the actual extra-high voltage direct current transmission power according to the rated extra-high voltage direct current transmission power comprises the following steps:
substituting the rated transmission power of the extra-high voltage direct current into a pre-established maximum utilization rate model of the extra-high voltage direct current channel;
solving the pre-established maximum utilization rate model of the extra-high voltage direct current channel to obtain the extra-high voltage direct current actual transmission power;
determining an objective function in the pre-established extra-high voltage direct current channel maximum utilization rate model according to the following steps:
in the formula ,F2 P is the power non-utilization DCN Rated power for extra-high voltage direct current, P DC·t The actual transmission power of the extra-high voltage direct current is the t scheduling period;
determining a power transmission balance constraint of a direct current transmission system in the pre-established ultra-high voltage direct current channel maximum utilization rate model according to the following steps:
in the formula ,PwDC·t Wind power for the t scheduling period is delivered by direct current,output of ith thermal power generating unit in t scheduling period, N G The number of the thermal power generating units matched with the extra-high voltage direct current is counted;
determining upper and lower limit constraints of direct current transmission power in the pre-established ultra-high voltage direct current channel maximum utilization rate model according to the following steps:
P DCmin ≤P DC·t ≤P DCmax
in the formula ,PDCmin A lower power limit for DC delivery; p (P) DCmax The upper limit of the power is transmitted for direct current;
determining a direct current operation adjustment constraint in the pre-established extra-high voltage direct current channel maximum utilization rate model according to the following steps:
in the formula, if P DC·t When the adjustment is performed, S DC·t =1, if P DC·t If not adjusted S DC·t ＝0，T on Minimum adjustment of the number of scheduling periods for DC, N DCdis The total time limit value is adjusted for the direct current in the dispatching day;
determining a direct current climbing power constraint in the pre-established ultra-high voltage direct current channel maximum utilization rate model according to the following steps:
in the formula ,PDC·t-1 The actual power is transmitted for the extra-high voltage direct current of the t-1 scheduling period,the upper limit of the DC climbing power is set; />Is the lower limit of the DC climbing power.
2. The method of claim 1, wherein the determining the optimal charge-discharge power of the energy storage system based on the wind power output of the wind-fire bundling delivery system comprises:
substituting the wind power output of the wind-fire bundling and sending system into a pre-established wind power maximization absorption model;
and solving the pre-established wind power maximization absorption model to obtain the optimal charge and discharge power of the energy storage system.
3. The method of claim 2, wherein the objective function in the pre-established wind power maximization model is determined as follows:
in the formula ,F1 For abandoning wind of wind power system, P wpre·t Wind power output for t scheduling period, P wDC·t Wind power passing direct current power transmission for t scheduling period, P wlocal·t Locally consumed wind power for the t-th scheduling period, P ES·t Charging and discharging power of the energy storage system in the T scheduling period, beta is a wind abandoning punishment factor, and T is the total number of scheduling periods in the whole day;
determining a power balance constraint of the transmission power of the direct current transmission system in the pre-established wind power maximization absorption model according to the following steps:
in the formula ,PDC·t The power is actually transmitted for the extra-high voltage direct current of the t scheduling period,output of ith thermal power generating unit in t scheduling period, N G The number of the thermal power generating units matched with the extra-high voltage direct current is counted;
determining energy storage system operation constraints in the pre-established wind power maximization absorption model according to the following steps:
|P ES·t |≤P ESN
in the formula ,PESN For rated power of energy storage system, SOC 0 To the initial state of charge, SOC, of the energy storage system low As the minimum limit value of the charge state, SOC up Is the maximum limit value of the charge state, E N For the rated capacity of the energy storage system, et]To cut off the energy storage system charge and discharge to the t scheduling period,P ES·j charging and discharging power T of energy storage system in jth scheduling period s Is the time interval of the scheduling period.
4. The method of claim 1, wherein said determining an optimal thermal power output of said wind-fire bundling delivery system using said extra-high voltage dc actual delivery power comprises:
determining the optimal thermal power output P of the wind-fire bundling and delivering system according to the following steps:
in the formula ,PDC·t Actual extra-high voltage direct current transmission power P for t scheduling period wDC·t The wind power for the t scheduling period is the power sent by direct current,the output of the ith thermal power generating unit in the t scheduling period; n (N) G The number of the thermal power generating units matched with the extra-high voltage direct current is counted;
wherein ,needs to meet-> and /> The lower limit of the output of the ith thermal power unit is +.>The upper limit of the output force of the ith thermal power generating unit is +.>Output of ith thermal power generating unit in t-1 scheduling period>The climbing power upper limit of the ith thermal power unit; />The climbing power lower limit of the ith thermal power generating unit.
5. A coordinated scheduling system for a wind, fire, storage and direct current system, the coordinated scheduling system comprising:
the first determining unit is used for determining the optimal charge and discharge power of the energy storage system according to the wind power output of the wind-fire bundling and delivering system;
the second determining unit is used for determining the actual extra-high voltage direct current transmission power according to the rated extra-high voltage direct current transmission power;
the third determining unit is used for determining the optimal thermal power output of the wind-fire bundling and delivering system by utilizing the extra-high voltage direct current actual delivery power;
the control unit is used for controlling the charge and discharge power of the energy storage system to be the optimal charge and discharge power and controlling the thermal power output of the wind-fire bundling and delivery system to be the optimal thermal power output;
the second determination unit includes:
the second substitution module is used for substituting the rated transmission power of the extra-high voltage direct current into a pre-established maximum utilization rate model of the extra-high voltage direct current channel;
the second acquisition module is used for solving the pre-established maximum utilization rate model of the extra-high voltage direct current channel and acquiring the extra-high voltage direct current actual transmission power;
determining an objective function in the pre-established extra-high voltage direct current channel maximum utilization rate model according to the following steps:
in the formula ,F2 P is the power non-utilization DCN Rated power for extra-high voltage direct current, P DC·t The actual transmission power of the extra-high voltage direct current is the t scheduling period;
determining a power transmission balance constraint of a direct current transmission system in the pre-established ultra-high voltage direct current channel maximum utilization rate model according to the following steps:
in the formula ,PwDC·t Wind power for the t scheduling period is delivered by direct current,output of ith thermal power generating unit in t scheduling period, N G The number of the thermal power generating units matched with the extra-high voltage direct current is counted;
determining upper and lower limit constraints of direct current transmission power in the pre-established ultra-high voltage direct current channel maximum utilization rate model according to the following steps:
P DCmin ≤P DC·t ≤P DCmax
in the formula ,PDCmin A lower power limit for DC delivery; p (P) DCmax The upper limit of the power is transmitted for direct current;
determining a direct current operation adjustment constraint in the pre-established extra-high voltage direct current channel maximum utilization rate model according to the following steps:
in the formula, if P DCt When the adjustment is performed, S DC·t =1, if P DC·t If not adjusted S DCt ＝0，T on Minimum adjustment of the number of scheduling periods for DC, N DCdis The total time limit value is adjusted for the direct current in the dispatching day;
determining a direct current climbing power constraint in the pre-established ultra-high voltage direct current channel maximum utilization rate model according to the following steps:
in the formula ,PDC·t-1 The actual power is transmitted for the extra-high voltage direct current of the t-1 scheduling period,the upper limit of the DC climbing power is set; />Is the lower limit of the DC climbing power.
6. The coordinated scheduling system of claim 5, wherein the first determination unit comprises:
the first generation input module is used for substituting the wind power output of the wind-fire bundling and sending system into a pre-established wind power maximization absorption model;
the first acquisition module is used for solving the pre-established wind power maximization absorption model and acquiring the optimal charge and discharge power of the energy storage system.
7. The coordinated scheduling system of claim 6, wherein the objective function in the pre-established wind power maximization digestion model is determined as follows:
in the formula ,F1 For abandoning wind of wind power system, P wpre·t Wind power output for t scheduling period, P wDC·t Wind power passing direct current power transmission for t scheduling period, P wlocal·t Locally consumed wind power for the t-th scheduling period, P ES·t Charging and discharging power of the energy storage system in the T scheduling period, beta is a wind abandoning punishment factor, and T is the total number of scheduling periods in the whole day;
determining a power balance constraint of the transmission power of the direct current transmission system in the pre-established wind power maximization absorption model according to the following steps:
in the formula ,PDC·t The power is actually transmitted for the extra-high voltage direct current of the t scheduling period,output of ith thermal power generating unit in t scheduling period, N G The number of the thermal power generating units matched with the extra-high voltage direct current is counted;
determining energy storage system operation constraints in the pre-established wind power maximization absorption model according to the following steps:
|P ES·t |≤P ESN
in the formula ,PESN For rated power of energy storage system, SOC 0 To the initial state of charge, SOC, of the energy storage system low As the minimum limit value of the charge state, SOC up Is the maximum limit value of the charge state, E N For the rated capacity of the energy storage system, et]To cut off the energy storage system charge and discharge to the t scheduling period,P ES·i charging and discharging power T of energy storage system in ith scheduling period s Is the time interval of the scheduling period.
8. The coordinated scheduling system of claim 5, wherein the third determination unit is specifically configured to:
determining the optimal thermal power output P of the wind-fire bundling and delivering system according to the following steps:
in the formula ,PDC·t Actual extra-high voltage direct current transmission power P for t scheduling period wDC·t The wind power for the t scheduling period is the power sent by direct current,the output of the ith thermal power generating unit in the t scheduling period; n (N) G The number of the thermal power generating units matched with the extra-high voltage direct current is counted;
wherein ,needs to meet-> and /> The lower limit of the output of the ith thermal power unit is +.>The upper limit of the output force of the ith thermal power generating unit is +.>Output of ith thermal power generating unit in t-1 scheduling period>The climbing power upper limit of the ith thermal power unit; />The climbing power lower limit of the ith thermal power generating unit.
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