A method for intelligent dispatching of power grid running in power tracking state of peak power supply

Abstract

The present invention discloses a method for intelligent dispatching of a power grid operating in a power tracking state of peak power supply, comprising the following steps: in the peak power supply mode, calculating the allowable range of total output; obtaining the cumulative amount of electricity stored by the energy storage power station within one day, and judging whether the cumulative amount of electricity stored within one day is greater than a preset multiple value of the rated capacity of the energy storage power station; if so, locking the energy storage and no longer adjusting the storage, and distributing it according to the first allocation principle; if not, entering the peak power supply mode, and distributing it according to the second allocation principle. The dispatching strategy of the present invention combines the goals of power tracking and peak power supply, and uses intelligent control strategies to achieve optimal power distribution and stable operation; the strategy is efficient, reliable and economical, and can adapt to the working conditions of the power grid; it effectively solves the limitations of traditional power grid dispatching, promotes large-scale grid connection and efficient utilization of new energy, and further promotes the sustainable development of the power system.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid dispatching, and in particular to an intelligent dispatching method for a power grid operating in a power tracking state of peak power supply. Background Art

[0002] With the widespread application and rapid development of renewable energy power generation technology, multi-source integrated power stations, especially wind, solar and storage integrated stations, play an increasingly important role in the power system. However, due to the intermittent and volatile characteristics of renewable energy and the uncertainty of grid load, achieving a high proportion of renewable energy grid connection, optimizing grid dispatching and maintaining stable operation of the power system face many challenges.

[0003] At present, the grid dispatching and control center usually subjectively assigns dispatching instructions to various new energy stations or energy storage stations to achieve a balance between power supply and demand. However, this traditional dispatching method has certain limitations and cannot fully consider factors such as the smoothing of power fluctuations, the extension of energy storage life, the maximization of power consumption, and the optimization of economic efficiency.

[0004] At present, there is a patent application (a method for optimizing the daily operation strategy of a wind-storage hybrid power station based on a genetic algorithm, publication number CN113361715A) that uses a method for optimizing the daily operation strategy of a wind-storage hybrid power station based on a genetic algorithm. However, the patent uses a genetic algorithm as an optimization algorithm, which has the following shortcomings: 1) Slow operation speed: Intelligent scheduling strategies usually require a large amount of data processing and calculation, which may lead to slow operation speed and difficulty in responding to actual working conditions in a timely manner, especially when rapid scheduling is required. 2) High processing complexity: The wind-solar-storage integrated station involves a variety of different energy sources and energy storage systems, which influence and restrict each other. The processing has certain complexity and uncertainty, and it is necessary to consider the influence of multiple factors, such as weather changes, load demand, etc. 3) Low data accuracy: Intelligent scheduling strategies need to rely on historical data and real-time data for analysis and prediction, but due to the influence of factors such as weather changes, there may be certain errors in data accuracy, which may lead to low accuracy of scheduling strategies. 4) Complex algorithm model: Intelligent scheduling strategies usually require the use of complex algorithm models for data analysis and prediction, which may lead to high complexity of the algorithm model and difficulty in understanding and explaining. 5) High cost: Intelligent dispatching strategies require the use of advanced technologies and equipment, such as high-performance computers and sensors, which may lead to high costs. 6) Peak power supply is not considered, and the integrated power generation system is used to provide peak power supply to the power grid at different times. Summary of the invention

[0005] The purpose of the embodiment of the present invention is to provide an intelligent dispatching method for a power grid operating in a power tracking state of peak power supply. The dispatching strategy combines the goals of power tracking and peak power supply, and uses an intelligent control strategy to achieve optimal power distribution and stable operation; it has high efficiency, reliability and economy, and can adapt to the working conditions of the power grid; it effectively solves the limitations of traditional power grid dispatching, promotes large-scale grid connection and efficient utilization of new energy, and further promotes the sustainable development of the power system.

[0006] To solve the above technical problems, an embodiment of the present invention provides a method for intelligent dispatching of a power grid running in a power tracking state of peak power supply, comprising the following steps:

[0007] Under the peak power supply mode, calculate the allowable range of total output;

[0008] Obtain the cumulative amount of electricity stored by the energy storage station within one day, and determine whether the cumulative amount of electricity stored within one day is greater than a preset multiple of the rated capacity of the energy storage station;

[0009] If so, the energy storage is locked and no longer adjusted, and the energy is allocated according to the first allocation principle;

[0010] If not, the system enters the peak power supply mode and distributes power according to the second distribution principle.

[0011] Furthermore, the calculation formula for calculating the allowable range of the total output is:

[0012]

[0013] Among them, P fgbmax P is the upper limit of the total planned output to meet the fluctuation assessment requirements; fgbmin P is the lower limit of the total planned output to meet the fluctuation assessment requirements; max is the maximum value of actual output during the current assessment period; P min is the minimum value of the actual output during the current assessment period; Y is the fluctuation assessment range, P N is the total installed capacity of wind and solar power.

[0014] Furthermore, after calculating the allowable range of the total output, the method further includes:

[0015] When the power grid dispatching instruction is less than the lower limit value of the total planned output meeting the fluctuation assessment requirements, the power grid dispatching instruction is assigned the lower limit value of the total planned output meeting the fluctuation assessment requirements;

[0016] When the power grid dispatching instruction is greater than the upper limit value of the total planned output that meets the fluctuation assessment requirements, the power grid dispatching instruction is assigned the upper limit value of the total planned output that meets the fluctuation assessment requirements.

[0017] Furthermore, the locked stored energy is no longer adjusted, and is allocated according to a first preset allocation principle, including the following steps:

[0018] Determine whether the sum of the ultra-short-term reported power of wind and solar power is greater than the dispatch instruction value;

[0019] If yes, the allocation is performed according to the first preset allocation principle, which includes: a first equal proportion allocation principle, a first wind power priority principle, and a first photovoltaic priority principle;

[0020] If not, allocation is performed according to the second preset allocation principle.

[0021] Furthermore, the first proportional distribution principle is:

[0022] P f =[P fr / (P fr +P gr )]*P ref

[0023] P g =[P gr / (P fr +P gr )]*P ref

[0024] P b =0;

[0025] P 弃 =P fr +P gr -P ref

[0026] ΔP=0

[0027] The first wind power priority principle is:

[0028] P f =P fr

[0029] P g =P ref -P f

[0030] P b =0;

[0031] P 弃 =P ref -P f -P g

[0032] ΔP=0

[0033] The first photovoltaic priority principle is:

[0034] P g =P gr

[0035] P f =P ref -P g

[0036] P b =0;

[0037] P 弃 =P ref -P f -P g

[0038] ΔP=0

[0039] Among them, P b is the output power of the energy storage station, P b.c is the allowed charging power of energy storage, P f is the wind farm output power, P fr is the maximum power that can be generated by the wind farm, P gr is the maximum power that can be generated by the photovoltaic power station, P g is the output power of the photovoltaic station, P ref is the grid dispatch instruction, P 弃 is the amount of abandoned wind and solar power, and ΔP is the deviation between the actual output and the dispatch instruction.

[0040] Furthermore, the second preset allocation principle is:

[0041] P f =P fr

[0042] P g =P gr

[0043] P b =0;

[0044] P 弃 =0

[0045] ΔP=P ref -P f -P g

[0046] Among them, P b is the output power of the energy storage station, P f is the wind farm output power, P fr is the maximum power that can be generated by the wind farm, P gr is the maximum power that can be generated by the photovoltaic power station, P g is the output power of the photovoltaic station, P ref is the grid dispatch instruction, P弃 is the amount of abandoned wind and solar power, and ΔP is the deviation between the actual output and the dispatch instruction.

[0047] Furthermore, the entering the peak power supply mode and allocating according to the second allocation principle includes:

[0048] Determine whether the sum of the ultra-short-term reported power of wind and solar power is greater than the dispatch instruction value;

[0049] If so, the allowable charging power of the energy storage power station is calculated and allocated according to the comparison result between the state of charge of the energy storage power station and X3;

[0050] If not, the allowable discharge power of the energy storage power station is calculated and allocated according to the comparison result between the state of charge of the energy storage power station and X4.

[0051] Furthermore, the calculation formula for calculating the allowable charging power of the energy storage power station is:

[0052] P b.c =max{P fgb.min -(P fr +P gr ),P b.c.max};

[0053] Among them, P b.c P is the allowed charging power of energy storage; b.c.max P is the maximum charging power of energy storage at the current moment; fr is the maximum power that the wind farm can generate at the current moment; P gr It is the maximum power that the photovoltaic power station can generate at the current moment.

[0054] Further, the allocation according to the comparison result between the state of charge of the energy storage power station and X3 includes:

[0055] When the state of charge of the energy storage power station is less than X3, allocation is performed according to a third preset allocation principle, which is:

[0056] P b =P b.c

[0057] P f =[P fr / (P fr +P gr )]*(P ref -P b )

[0058] P g =[P gr / (P fr +P gr )]*(P ref-P b );

[0059] P 弃 =P fr +P gr -P ref +P b

[0060] ΔP=P ref -P b -P f -P g

[0061] When the state of charge of the energy storage power station is greater than or equal to X3, allocation is performed according to a fourth preset allocation principle, wherein the fourth preset allocation principle includes: a second equal proportion allocation principle, a second wind power priority principle, and a second photovoltaic priority principle;

[0062] The second proportional distribution principle includes:

[0063] P f =[P fr / (P fr +P gr )]*P ref

[0064] P g =[P gr / (P fr +P gr )]*P ref

[0065] P b =0;

[0066] P 弃 =P fr +P gr -P ref

[0067] ΔP=P ref -P f -P g

[0068] The second wind power priority principle includes:

[0069] P f =P fr

[0070] P g =P ref -P f

[0071] P b =0;

[0072] P 弃=P ref -P f -P g

[0073] ΔP=P ref -P f -P g

[0074] The second photovoltaic priority principle includes:

[0075] P g =P gr

[0076] P f =P ref -P g

[0077] P b =0;

[0078] P 弃 =P ref -P f -P g

[0079] ΔP=P ref -P f -P g

[0080] Among them, P b is the output power of the energy storage station, P b.c is the allowed charging power of energy storage, P f is the wind farm output power, P fr is the maximum power that can be generated by the wind farm, P gr is the maximum power that can be generated by the photovoltaic power station, P g is the output power of the photovoltaic station, P ref is the grid dispatch instruction, P 弃 is the amount of abandoned wind and solar power, and ΔP is the deviation between the actual output and the dispatch instruction.

[0081] Further, the allocation according to the comparison result between the state of charge of the energy storage power station and X4 includes:

[0082] When the state of charge of the energy storage power station is less than X4, the energy storage power station is allocated according to the fifth preset allocation principle, which is:

[0083] P f =P fr

[0084] P g =P gr

[0085] P b=0;

[0086] P 弃 =0

[0087] ΔP=P ref -P f -P g

[0088] When the state of charge of the energy storage power station is greater than X4, allocation is performed according to the sixth preset allocation principle, which is:

[0089] P f =P fr

[0090] P g =P gr

[0091] P b =P b.disc ;

[0092] P 弃 =0

[0093] ΔP=P ref -P f -P g -P b

[0094] Among them, P b.disc is the allowed charging power of energy storage, P b is the output power of the energy storage station, P b.c is the allowed charging power of energy storage, P f is the wind farm output power, P fr is the maximum power that can be generated by the wind farm, P gr is the maximum power that can be generated by the photovoltaic power station, P g is the output power of the photovoltaic station, P ref is the grid dispatch instruction, P 弃 is the amount of abandoned wind and solar power, and ΔP is the deviation between the actual output and the dispatch instruction.

[0095] The above technical solution of the embodiment of the present invention has the following beneficial technical effects:

[0096] 1. Fast operation speed: The patented algorithm can respond quickly to actual working conditions, especially when fast scheduling is required;

[0097] 2. Low processing complexity: This patent has low complexity and can easily consider the influence of multiple factors, such as weather changes and load demand, to adjust the calculation method;

[0098] 3. High data accuracy: Since the data time interval required by this patent is short, the accuracy of the scheduling strategy is improved, making it more precise;

[0099] 4. Simple algorithm model: This patent adopts a simple algorithm model, making it easy to understand and implement;

[0100] 5. Peak power supply considerations: This patent takes into account the peak power supply situation and uses an integrated system to achieve the optimal output of the power grid during peak hours, thereby improving economic efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0101] Figure 1 It is a flow chart of a method for intelligent dispatching of a power grid operating in a power tracking state of peak power supply provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0102] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present invention. In addition, in the following description, the description of well-known structures and technologies is omitted to avoid unnecessary confusion of the concept of the present invention.

[0103] In a multi-source integrated power station, in order to track the grid dispatch instructions, it is usually necessary to adopt some intelligent control strategies, such as model predictive control, strategy mode based on multi-objective decision-making, and strategy mode based on machine learning, etc. These strategies can predict the power supply and demand in the future by analyzing historical data and real-time data, and calculate the optimal power allocation strategy to achieve stable operation and economy of the power system.

[0104] Taking the wind, photovoltaic and storage integrated station as an example, the dispatching strategy includes the following steps: First, collect necessary data by collecting real-time power generation, storage capacity and operating status of different energy sources such as wind power, photovoltaic power, and energy storage, as well as load demand information of the power grid. Next, through methods such as model predictive control, use historical data and real-time data to predict the power supply and demand in the future, and calculate the optimal power allocation strategy to form a power generation plan curve to achieve stable operation and economy of the power system. Then, according to the optimized power allocation strategy, combined with price factors such as electricity prices under peak power supply conditions, the power generation and storage capacity of different energy sources are allocated to the power grid to meet the load demand of the power grid. Finally, through real-time monitoring and feedback, the power allocation strategy is adjusted and optimized in real time to achieve closed-loop target control and ensure the stable operation of the power system.

[0105] By comprehensively considering factors such as the needs of grid load peaks, the energy reserves of energy storage systems, and market prices, the dispatch strategy can achieve flexible adjustment of total output to improve the reliability and economy of the power system.

[0106] Please refer to Figure 1 The embodiment of the present invention provides a method for intelligent dispatching of a power grid running in a power tracking state of peak power supply, comprising the following steps:

[0107] Step S100, in the peak power supply mode, calculating the allowable range of the total output.

[0108] Step S200, obtaining the cumulative amount of electricity stored by the energy storage station within one day, and determining whether the cumulative amount of electricity stored within one day is greater than a preset multiple value of the rated capacity of the energy storage station.

[0109] Step S300: If yes, the energy storage is locked and no longer adjusted, and the energy is allocated according to the first allocation principle.

[0110] Step S400: If not, enter the peak power supply mode and allocate according to the second allocation principle.

[0111] When the power grid is actually operating, the power grid dispatching center informs the energy storage station one day in advance that it needs to enter the peak power supply mode the next day. At 0:00 on the next day, the energy storage station will operate in the peak power supply mode. If the peak requirements have not been met on the day, the energy storage station should be charged as much as possible so that the energy storage can participate in the output to a greater extent during the peak period. The peak power supply mode is not turned on during a specific period of time, but is designed to be in this mode throughout the day. Therefore, this mode requires a charging link. The present invention optimizes the power grid dispatching instructions to achieve power tracking on the basis of reducing the deviation between the actual power generation power and the dispatching instructions, and comprehensively considers multiple factors such as the smoothing of power fluctuations, the extension of energy storage life, the maximization of power consumption and the optimization of economy when the power grid is operating in the peak power supply state, so as to ensure the stable operation and efficient operation of the power system.

[0112] Specifically, in step S100, the calculation formula for calculating the allowable range of the total output is:

[0113]

[0114] Among them, P fgbmax P is the upper limit of the total planned output to meet the fluctuation assessment requirements; fgbmin P is the lower limit of the total planned output to meet the fluctuation assessment requirements; max is the maximum value of actual output during the current assessment period; P min is the minimum value of the actual output during the current assessment period; Y is the fluctuation assessment range. Taking the assessment guidelines for the Northwest region as an example, it is recommended to take 10%; P Nis the total installed capacity of wind and solar power. At the same time, when calculating the first data of each assessment period, let P max =P min =P ref .

[0115] Furthermore, in step S100, after calculating the allowable range of the total output, the method further includes:

[0116] Step S110, when the power grid dispatching instruction is less than the lower limit value of the total planned output that meets the fluctuation assessment requirements, the power grid dispatching instruction is assigned the lower limit value of the total planned output that meets the fluctuation assessment requirements.

[0117] Step S120, when the power grid dispatching instruction is greater than the upper limit value of the total planned output that meets the fluctuation assessment requirements, the power grid dispatching instruction is assigned the upper limit value of the total planned output that meets the fluctuation assessment requirements.

[0118] Next, in order to enable the system to track power while smoothing power fluctuations, it is necessary to ref If P ref <P fgbmin , then let P ref =P fgbmin If P ref >P fgbmax , then let P ref =P fgbmax If P fgbmin <P ref <P fgbmax , no modification is made.

[0119] After calculating the total output allowable range, determine whether W b.all ≥K·W b , calculate the cumulative amount of electricity stored in one day, W b.all It is the integral value of historical energy storage charging and discharging. It can also be read directly from the energy storage power station. It represents the intensity of energy storage call in one day. b Represents the rated capacity of the energy storage station. K defaults to 2, which means that if the charge and discharge of the energy storage in one day exceeds K times the rated capacity, the energy storage will be locked and no longer adjusted. If the cumulative storage capacity does not reach K times the rated capacity, the peak power supply mode will be entered.

[0120] In a specific implementation of the embodiment of the present invention, the locked stored energy in step S300 is no longer adjusted, and is allocated according to the first preset allocation principle, including the following steps:

[0121] Step S310, determining whether the sum of the ultra-short-term reported power of wind and solar power is greater than the dispatch instruction value.

[0122] Step S320: If yes, then allocate according to the first preset allocation principle, the first preset allocation principle includes: a first equal proportion allocation principle, a first wind power priority principle, and a first photovoltaic priority principle.

[0123] Step S330: If not, allocate according to the second preset allocation principle.

[0124] If the charge and discharge amount of energy storage in one day is greater than K times the rated capacity, the energy storage will be locked and no longer adjusted. At this time, firstly, a logical judgment is made on whether the sum of the ultra-short-term reported power of wind and light is greater than the dispatch instruction value. If the sum of the ultra-short-term reported power of wind and light is greater than the dispatch instruction, then at this time the user can select the allocation principle according to the actual situation of the integrated station. The system defaults to the first proportional allocation principle.

[0125] Furthermore, the first proportional distribution principle is:

[0126] P f =[P fr / (P fr +P gr )]*P ref

[0127] P g =[P gr / (P fr +P gr )]*P ref

[0128] P b =0;

[0129] P 弃 =P fr +P gr -P ref

[0130] ΔP=0

[0131] The first wind power priority principle is:

[0132] P f =P fr

[0133] P g =P ref -P f

[0134] P b =0;

[0135] P 弃 =P ref -P f -P g

[0136] ΔP=0

[0137] The first photovoltaic priority principle is:

[0138] P g =P gr

[0139] P f =P ref -P g

[0140] P b =0;

[0141] P 弃 =P ref -P f -P g

[0142] ΔP=0

[0143] Among them, P b is the output power of the energy storage station, P b.c is the allowed charging power of energy storage, P f is the wind farm output power, P fr is the maximum power that can be generated by the wind farm, P gr is the maximum power that can be generated by the photovoltaic power station, P g is the output power of the photovoltaic station, P ref is the grid dispatch instruction, P 弃 is the amount of abandoned wind and solar power, and ΔP is the deviation between the actual output and the dispatch instruction.

[0144] Specifically, the second preset allocation principle is:

[0145] P f =P fr

[0146] P g =P gr

[0147] P b =0;

[0148] P 弃 =0

[0149] ΔP=P ref -P f -P g

[0150] Among them, P b is the output power of the energy storage station, P f is the wind farm output power, P fr is the maximum power that can be generated by the wind farm, P gr is the maximum power that can be generated by the photovoltaic power station, P gis the output power of the photovoltaic station, P ref is the grid dispatch instruction, P 弃 is the amount of abandoned wind and solar power, and ΔP is the deviation between the actual output and the dispatch instruction.

[0151] If the sum of the ultra-short-term reported power of wind and solar power is less than the dispatch instruction, the output will be distributed according to the above method.

[0152] At the same time, if the cumulative amount of electricity stored within a day is less than or equal to the preset multiple of the rated capacity of the energy storage power station, the peak power supply mode will be entered.

[0153] First, a logical judgment is made on whether the sum of the ultra-short-term reported power of wind and solar power is greater than the dispatch instruction value.

[0154] Specifically, the step S400 of entering the peak power supply mode and allocating according to the second allocation principle includes:

[0155] Step S410, determining whether the sum of the ultra-short-term reported power of wind and solar power is greater than the dispatch instruction value.

[0156] Step S420: If yes, the allowable charging power of the energy storage power station is calculated and allocated according to the comparison result between the state of charge of the energy storage power station and X3.

[0157] Step S430: If not, the allowable discharge power of the energy storage power station is calculated and allocated according to the comparison result between the state of charge of the energy storage power station and X4.

[0158] Furthermore, the calculation formula for calculating the allowable charging power of the energy storage power station in step S420 is:

[0159] P b.c =max{P fgb.min -(P fr +P gr ),P b.c.max};

[0160] Among them, P b.c P is the allowed charging power of energy storage; b.c.max P is the maximum charging power of energy storage at the current moment; fr is the maximum power that the wind farm can generate at the current moment; P gr It is the maximum power that the photovoltaic power station can generate at the current moment.

[0161] Furthermore, the allocation in step S420 based on the comparison result between the state of charge of the energy storage power station and X3 includes:

[0162] Step S421: when the state of charge of the energy storage power station is less than X3, the energy is allocated according to the third preset allocation principle, which is:

[0163] P b =P b.c

[0164] P f =[P fr / (P fr +P gr )]*(P ref -P b )

[0165] P g =[P gr / (P fr +P gr )]*(P ref -P b );

[0166] P 弃 =P fr +P gr -P ref +P b

[0167] ΔP=P ref -P b -P f -P g

[0168] Step S422, when the state of charge of the energy storage power station is greater than or equal to X3, allocation is performed according to a fourth preset allocation principle, which includes: a second equal proportion allocation principle, a second wind power priority principle, and a second photovoltaic priority principle.

[0169] Specifically, the second proportional distribution principle includes:

[0170] P f =[P fr / (P fr +P gr )]*P ref

[0171] P g =[P gr / (P fr +P gr )]*P ref

[0172] P b =0;

[0173] P 弃 =P fr +P gr -P ref

[0174] ΔP=P ref -Pf -P g

[0175] Specifically, the second wind power priority principle includes:

[0176] P f =P fr

[0177] P g =P ref -P f

[0178] P b =0;

[0179] P 弃 =P ref -P f -P g

[0180] ΔP=P ref -P f -P g

[0181] Specifically, the second photovoltaic priority principle includes:

[0182] P g =P gr

[0183] P f =P ref -P g

[0184] P b =0;

[0185] P 弃 =P ref -P f -P g

[0186] ΔP=P ref -P f -P g

[0187] Among them, P b is the output power of the energy storage station, P b.c is the allowed charging power of energy storage, P f is the wind farm output power, P fr is the maximum power that can be generated by the wind farm, P gr is the maximum power that can be generated by the photovoltaic power station, P g is the output power of the photovoltaic station, P ref is the grid dispatch instruction, P 弃 is the amount of abandoned wind and solar power, and ΔP is the deviation between the actual output and the dispatch instruction.

[0188] Furthermore, the allocation in step S430 based on the comparison result between the state of charge of the energy storage power station and X4 includes:

[0189] Step S431: when the state of charge of the energy storage power station is less than X4, the energy is allocated according to the fifth preset allocation principle, which is:

[0190] P f =P fr

[0191] P g =P gr

[0192] P b =0;

[0193] P 弃 =0

[0194] ΔP=P ref -P f -P g

[0195] Step S432: when the state of charge of the energy storage power station is greater than X4, the energy is allocated according to the sixth preset allocation principle, which is:

[0196] P f =P fr

[0197] P g =P gr

[0198] P b =P b.disc ;

[0199] P 弃 =0

[0200] ΔP=P ref -P f -P g -P b

[0201] Among them, P b.disc is the allowed charging power of energy storage, P b is the output power of the energy storage station, P b.c is the allowed charging power of energy storage, P f is the wind farm output power, P fr is the maximum power that can be generated by the wind farm, P gr is the maximum power that can be generated by the photovoltaic power station, P g is the output power of the photovoltaic station, P ref is the grid dispatch instruction, P弃 is the amount of abandoned wind and solar power, and ΔP is the deviation between the actual output and the dispatch instruction.

[0202] In summary, the dispatching strategy of the present invention combines the goals of power tracking and peak power supply, and uses intelligent control strategies to achieve optimal power distribution and stable operation. The strategy is efficient, reliable and economical, and can adapt to the working conditions of the power grid. Through this invention, the limitations of traditional power grid dispatching can be effectively solved, the large-scale grid connection and efficient utilization of new energy can be promoted, and the sustainable development of the power system can be further promoted.

[0203] The embodiment of the present invention aims to protect a method for intelligent dispatching of a power grid running in a power tracking state of peak power supply, including the following steps: in the peak power supply mode, calculating the allowable range of total output; obtaining the cumulative amount of electricity stored by the energy storage power station within one day, and determining whether the cumulative amount of electricity stored within one day is greater than a preset multiple of the rated capacity of the energy storage power station; if so, locking the energy storage and no longer storing it, and distributing it according to the first distribution principle; if not, entering the peak power supply mode, and distributing it according to the second distribution principle. The above technical solution has the following effects:

[0204] 1. Fast operation speed: The algorithm of this patent can respond quickly under actual working conditions, especially when fast scheduling is required.

[0205] 2. Low processing complexity: This patent has low complexity and can easily consider the influence of various factors, such as weather changes and load demand, to adjust the calculation method.

[0206] 3. High data accuracy: Since the data time interval required by this patent is short, the accuracy of the scheduling strategy is improved, making it more precise.

[0207] 4. Simple algorithm model: This patent adopts a simple algorithm model, making it easy to understand and implement.

[0208] 5. Peak power supply considerations: This patent takes into account the peak power supply situation and uses an integrated system to achieve the optimal output of the power grid during peak hours, thereby improving economic efficiency.

[0209] It should be understood that the above specific embodiments of the present invention are only used to illustrate or explain the principles of the present invention, and do not constitute a limitation of the present invention. Therefore, any modifications, equivalent substitutions, improvements, etc. made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. In addition, the appended claims of the present invention are intended to cover all changes and modifications that fall within the scope and boundaries of the appended claims, or the equivalent forms of such scope and boundaries.

Claims

1. A method for intelligent dispatching of a power grid operating in a power tracking state of peak power supply, characterized in that: The steps include: Under the peak power supply mode, calculate the allowable range of total output; Obtain the cumulative amount of electricity stored by the energy storage station within one day, and determine whether the cumulative amount of electricity stored within one day is greater than a preset multiple of the rated capacity of the energy storage station; If so, the energy storage is locked and no longer adjusted, and the energy is allocated according to the first allocation principle; If not, the system will enter the peak power supply mode and allocate power according to the second allocation principle; The locked stored energy is no longer adjusted, and is allocated according to a first preset allocation principle, comprising the following steps: Determine whether the sum of the ultra-short-term reported power of wind and solar power is greater than the dispatch instruction value; If yes, the allocation is performed according to the first preset allocation principle, which includes: a first equal proportion allocation principle, a first wind power priority principle, and a first photovoltaic priority principle; If not, the allocation will be made according to the second preset allocation principle; The first proportional distribution principle is: P f =[P fr / (P fr +P gr )]*P ref P g =[P gr / (P fr +P gr )]*P ref P b ＝0； P 弃 =P fr +P gr -P ref ΔP=0 The first wind power priority principle is: P f =P fr P g =P ref -P f P b ＝0； P 弃 =P ref -P f -P g ΔP=0 The first photovoltaic priority principle is: P g =P gr P f =P ref -P g P b ＝0； P 弃 =P ref -P f -P g ΔP=0 Among them, P b is the output power of the energy storage station, P b.c is the allowed charging power of energy storage, P f is the wind farm output power, P fr is the maximum power that can be generated by the wind farm, P gr is the maximum power that can be generated by the photovoltaic power station, P g is the output power of the photovoltaic station, P ref is the grid dispatch instruction, P 弃 is the amount of abandoned wind and solar power, ΔP is the deviation between the actual output and the dispatch instruction; The second preset allocation principle is: P f =P fr P g =P gr P b ＝0； P 弃 ＝0 ΔP=P ref -P f -P g Among them, P b is the output power of the energy storage station, P b.c is the allowed charging power of energy storage, P f is the wind farm output power, P fr is the maximum power that can be generated by the wind farm, P gr is the maximum power that can be generated by the photovoltaic power station, P g is the output power of the photovoltaic station, P ref is the grid dispatch instruction, P 弃 is the amount of abandoned wind and solar power, ΔP is the deviation between the actual output and the dispatch instruction; Entering the peak power supply mode and allocating according to the second allocation principle includes: Determine whether the sum of the ultra-short-term reported power of wind and solar power is greater than the dispatch instruction value; If so, the allowable charging power of the energy storage power station is calculated and allocated according to the comparison result between the state of charge of the energy storage power station and X3; If not, the allowable discharge power of the energy storage power station is calculated and allocated according to the comparison result between the state of charge of the energy storage power station and X4.

2. The method for intelligent dispatching of a power grid in a power tracking state of peak power supply according to claim 1, characterized in that: The calculation formula for the allowable range of the total output is: Among them, P fgbmax P is the upper limit of the total planned output to meet the fluctuation assessment requirements; fgbmin P is the lower limit of the total planned output to meet the fluctuation assessment requirements; max is the maximum value of actual output during the current assessment period; P min is the minimum value of the actual output during the current assessment period; Y is the fluctuation assessment range, P N is the total installed capacity of wind and solar power.

3. The intelligent dispatching method for power grid running in the power tracking state of peak power supply according to claim 2 is characterized in that: After calculating the allowable range of the total output, it also includes: When the power grid dispatching instruction is less than the lower limit value of the total planned output meeting the fluctuation assessment requirements, the power grid dispatching instruction is assigned the lower limit value of the total planned output meeting the fluctuation assessment requirements; When the power grid dispatching instruction is greater than the upper limit value of the total planned output that meets the fluctuation assessment requirements, the power grid dispatching instruction is assigned the upper limit value of the total planned output that meets the fluctuation assessment requirements.

4. The method for intelligent dispatching of a power grid in a power tracking state of peak power supply according to claim 1, characterized in that: The calculation formula for calculating the allowable charging power of the energy storage power station is: P b.c =max{P fgb.min -(P fr +P gr ),P b.c.max }; Among them, P b.c P is the allowed charging power of energy storage; b.c.max P is the maximum charging power of energy storage at the current moment; fr is the maximum power that the wind farm can generate at the current moment; P gr It is the maximum power that the photovoltaic power station can generate at the current moment.

5. The intelligent dispatching method for power grid running in the power tracking state of peak power supply according to claim 1, characterized in that: The allocating according to the comparison result between the state of charge of the energy storage power station and X3 includes: When the state of charge of the energy storage power station is less than X3, allocation is performed according to a third preset allocation principle, which is: P b =P b.c P f =[P fr / (P fr +P gr )]*(P ref -P b ) P g =[P gr / (P fr +P gr )]*(P ref -P b ); P 弃 =P fr +P gr -P ref +P b ΔP=P ref -P b -P f -P g When the state of charge of the energy storage power station is greater than or equal to X3, allocation is performed according to a fourth preset allocation principle, wherein the fourth preset allocation principle includes: a second equal proportion allocation principle, a second wind power priority principle, and a second photovoltaic priority principle; The second proportional distribution principle includes: P f =[P fr / (P fr +P gr )]*P ref P g =[P gr / (P fr +P gr )]*P ref P b ＝0； P 弃 =P fr +P gr -P ref ΔP=P ref -P f -P g The second wind power priority principle includes: P f =P fr P g =P ref -P f P b ＝0； P 弃 =P ref -P f -P g ΔP=P ref -P f -P g The second photovoltaic priority principle includes: P g =P gr P f =P ref -P g P b ＝0； P 弃 =P ref -P f -P g ΔP=P ref -P f -P g Among them, P b is the output power of the energy storage station, P b.c is the allowed charging power of energy storage, P f is the wind farm output power, P fr is the maximum power that can be generated by the wind farm, P gr is the maximum power that can be generated by the photovoltaic power station, P g is the output power of the photovoltaic station, P ref is the grid dispatch instruction, P 弃 is the amount of abandoned wind and solar power, and ΔP is the deviation between the actual output and the dispatch instruction.

6. According to the method for intelligent dispatching of a power grid in a power tracking state of peak power supply according to claim 1, the allocation is performed based on the comparison result between the state of charge of the energy storage power station and X4, comprising: When the state of charge of the energy storage power station is less than X4, the energy storage power station is allocated according to the fifth preset allocation principle, which is: P f =P fr P g =P gr P b ＝0； P 弃 ＝0 ΔP=P ref -P f -P g When the state of charge of the energy storage power station is greater than X4, allocation is performed according to the sixth preset allocation principle, which is: P f =P fr P g =P gr P b =P b.disc ; P 弃 ＝0 ΔP=P ref -P f -P g -P b Among them, P b.disc is the allowed charging power of energy storage, P b is the output power of the energy storage station, P b.c is the allowed charging power of energy storage, P f is the wind farm output power, P fr is the maximum power that can be generated by the wind farm, P gr is the maximum power that can be generated by the photovoltaic power station, P g is the output power of the photovoltaic station, P ref is the grid dispatch instruction, P 弃 is the amount of abandoned wind and solar power, and ΔP is the deviation between the actual output and the dispatch instruction.

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