A power grid rotating reserve configuration method and system based on situation awareness

Abstract

This invention relates to a situational awareness-based method and system for configuring power grid spinning reserve, comprising: determining a probability distribution function of the power load deficit at each moment within a preset time period based on the actual operating power of the power grid at the current moment; determining the optimal configuration capacity of the power grid spinning reserve for the preset time period according to the probability distribution function of the power load deficit at each moment within the preset time period; and configuring the power grid spinning reserve for the preset time period according to the optimal configuration capacity. The technical solution provided by this invention allows the configured power grid spinning reserve to better compensate for power deficits caused by sudden power grid events, resulting in better stability during power grid operation.

Description

Technical Field

[0001] This invention relates to the field of power system automation, and more specifically to a method and system for configuring power grid spinning reserve based on situational awareness. Background Technology

[0002] To ensure the reliable operation of the power grid, spinning reserve is typically used to handle unexpected events. The amount of spinning reserve capacity not only affects the reliability of the power grid but also the economics of power system operation.

[0003] The traditional method for determining spinning reserve capacity is to set it based on a fixed percentage of the system load (e.g., 2%-4%), and require it to be no less than the maximum capacity of a single load in the system.

[0004] However, as the energy structure in the power grid becomes increasingly complex, this method ignores the changes in power grid supply and demand caused by factors such as the continuous changes in the output of new energy sources, transmission line overload, and power grid faults. It does not adequately consider the dynamic changes in the power grid operation process, and therefore it is difficult to match with the actual spinning reserve capacity demand and is not suitable for the current power grid.

[0005] Currently, no suitable technology has been proposed for the spinning reserve capacity of the current power grid. Summary of the Invention

[0006] To address the shortcomings of existing technologies, the present invention aims to provide a power grid spinning reserve configuration method based on situational awareness. The power grid spinning reserve configured by this method can better compensate for the power grid deficit caused by sudden power grid events, resulting in better stability during power grid operation.

[0007] The objective of this invention is achieved through the following technical solution:

[0008] This invention provides a power grid spinning reserve configuration method based on situational awareness, the improvement of which is that the method includes:

[0009] The probability distribution function of the power load deficit of the power grid at each time point within the preset time period is determined based on the actual operating power of the power grid at the current time.

[0010] The optimal configuration capacity of the grid spinning reserve for the preset time period is determined based on the probability distribution function of the grid load power deficit at each moment within the preset time period.

[0011] Configure the grid spinning reserve for the preset time period according to the optimal configuration capacity of the grid spinning reserve for the preset time period.

[0012] Preferably, the actual operating power of the power grid includes: the actual generator power generation power, the actual renewable energy power generation power, the actual load power, and the actual fault deficit power.

[0013] Furthermore, the probability distribution function for determining the power load deficit of the power grid at each moment within a preset time period based on the actual operating power of the power grid at the current moment includes:

[0014] The simulation of the power grid operation scenario for a preset time period is based on the actual operating power of the power grid at the current moment;

[0015] The power grid state transition matrix corresponding to each moment within the preset time period is determined based on the power grid operation status at each moment within the preset time period in the power grid simulation operation scenario.

[0016] The probability distribution function of the power load deficit of the power grid at each moment within the preset time period is determined based on the power grid state transition matrix corresponding to each moment within the preset time period.

[0017] Furthermore, determining the power grid state transition matrix corresponding to each moment within the preset time period based on the power grid operating state at each moment within the preset time period in the power grid simulation operation scenario includes:

[0018] The power grid state transition matrix P corresponding to the i-th time point within the preset time period is determined by the following formula. i :

[0019]

[0020] In the formula, Let S1 be the probability that the power grid operating state will change from S1 to S2 at the i-th time within the preset time period from time t, where i∈(1~N), N is the total number of times in the preset time period, S1 is the normal operating state of the power grid, S2 is the correctable operating state of the power grid, S3 is the emergency operating state of the power grid, t is the current time, and the i-th time within the preset time period is time t+i.

[0021] Wherein, the following formula is used to determine the

[0022]

[0023] In the formula, Let S be the number of power grid simulation scenarios where the power grid operating state is S1 at time t and the power grid operating state is S2 at the i-th time within a preset time period. Let t be the number of power grid simulation operation scenarios where the power grid operation state is S1 at time t.

[0024] Furthermore, if the power grid operating power at the i-th moment within a preset time period in the power grid simulation operation scenario satisfies P... t+i,L -P t+i,G -P t+i,NE +P t+i,fail ≤P n Then, the power grid operating state at the i-th moment within the preset time period in the power grid simulation operation scenario is S1;

[0025] If the power grid operating power at time i within a preset time period in the power grid simulation operation scenario satisfies P n <P t+i,L -P t+i,G -P t+i,NE +P t+i,fail ≤P e Then, the power grid operating state at the i-th moment within the preset time period in the power grid simulation operation scenario is S2;

[0026] If the power grid operating power at time i within a preset time period in the power grid simulation operation scenario satisfies P t+i,L -P t+i,G -P t+i,NE +P t+i,fail >P e Then, the power grid operating state at the i-th moment within the preset time period in the power grid simulation operation scenario is S3;

[0027] Among them, P e The load power deficit threshold that triggers emergency frequency control in the power system, P n To trigger the load power deficit threshold for power system frequency control, P t+i,L Let P be the load power of the power grid at the i-th time within a preset time period in the power grid simulation operation scenario. t+i,G Let P be the generator power output of the power grid at the i-th moment within a preset time period in the power grid simulation operation scenario. i,NE Let P be the renewable energy generation power of the power grid at the i-th time within a preset time period in the power grid simulation operation scenario. i,fail This represents the fault deficit power of the power grid at the i-th moment within a preset time period in a power grid simulation operation scenario.

[0028] Furthermore, the step of determining the probability distribution function of the power load deficit of the power grid at each moment within the preset time period based on the power grid state transition matrix corresponding to each moment within the preset time period includes:

[0029] The probability distribution function f of the power grid load deficit at time i within a preset time period is determined by the following formula. i (P LL ):

[0030]

[0031] In the formula, S(t) is the power grid operating state matrix at the current time t. Let be the probability distribution function of the possible load power deficit when the power grid is operating in state S1. Let be the probability distribution function of the possible load power deficit when the power grid is operating in state S2. Let P be the probability distribution function of the load power deficit that may occur when the power grid is operating in state S3. iLet N be the power grid state transition matrix corresponding to the i-th time point within a preset time period, where i ∈ (1~N) and N is the total number of time points in the preset time period.

[0032] Among them, the Let Gaussian distribution function have variance of 1 and expectation of 0. The variance is 1 and the expected value is P. n Gaussian distribution function, The variance is 1 and the expected value is P. e Gaussian distribution function, P e The load power deficit threshold that triggers emergency frequency control in the power system, P n The load power deficit threshold that triggers frequency control in the power system.

[0033] Furthermore, the power grid operating state matrix S(t) at the current time t is determined by the following formula:

[0034]

[0035] In the formula, S t Let S1 be the normal operating state of the power grid at the current time t, S2 be the correctable operating state of the power grid, and S3 be the emergency operating state of the power grid.

[0036] Wherein, if the load power deficit ΔP of the power grid at the current time t now,t ≤P n Then the power grid state S at the current time t t =S1; If the load power deficit P of the power grid at the current time t is... n <ΔP now,t ≤P e Then the power grid state S at the current time t t =S2; If the load power deficit ΔP of the power grid at the current time t is... now,t >P e Then the power grid state S at the current time t t =S3.

[0037] Preferably, determining the optimal configuration capacity of the grid spinning reserve for the preset time period based on the probability distribution function of the grid load power deficit at each moment within the preset time period includes:

[0038] The expected value of the probability distribution function of the power load deficit of the power grid at each moment within the preset time period is substituted into the capacity optimization calculation model of the spinning reserve. The model is solved using the particle swarm optimization algorithm to obtain the optimal configuration capacity of the power grid spinning reserve for the preset time period.

[0039] Furthermore, the objective function of the capacity optimization calculation model for rotating reserve is determined by the following formula:

[0040] minF=RSR +R EDNS

[0041] In the formula, F represents the total cost of configuring spinning reserves in the power grid, and R... SR The cost of configuring spinning reserve equipment for the power grid, R EDNS The spinning reserve capacity allocated to the power grid is insufficient to cope with the costs to the power grid in the event of a power grid emergency;

[0042] The constraints of the objective function of the rotating reserve capacity optimization calculation model are determined by the following formula:

[0043] P LL,i -P sr <P max

[0044] Among them, P LL,i Let P be the expected value of the probability distribution function of the power load deficit of the power grid at time i within a preset time period. max Let i be the maximum power deficit that the power grid can withstand under emergency conditions, i∈(1~N), and N be the total number of time periods in the preset time period;

[0045] Among them, the cost R of the grid when the spinning reserve capacity configured in the grid is insufficient to cope with grid emergencies is determined by the following formula. EDNS :

[0046]

[0047] In the formula, L dws P represents the grid cost caused by insufficient unit spinning reserve capacity. LL,τ Let P be the expected value of the probability distribution function of the power load deficit of the power grid at time τ within a preset time period. sr The capacity of the spinning reserve configured for the power grid, τ∈(1~ρ), where ρ is the capacity that satisfies P within a preset time period. LL,τ >P sr The total number of moments;

[0048] The equipment cost R for power grid configuration of spinning reserve is determined by the following formula. SR :

[0049] R SR =k SR ·P sr

[0050] In the formula, k SR The cost of preparing units for rotational backup.

[0051] This invention provides a power grid spinning reserve configuration system based on situational awareness, wherein the improvement is that the system includes:

[0052] The first determining module is used to determine the probability distribution function of the power load deficit of the power grid at each time within a preset time period based on the actual operating power of the power grid at the current time.

[0053] The second determining module is used to determine the optimal configuration capacity of the grid spinning reserve for the preset time period based on the probability distribution function of the grid load power deficit at each moment within the preset time period.

[0054] The configuration module is used to configure the grid spinning reserve for a preset period according to the optimal configuration capacity of the grid spinning reserve for a preset period.

[0055] Compared with the closest existing technology, the present invention has the following advantages:

[0056] The technical solution provided by this invention determines the probability distribution function of the power deficit of the power grid at each moment within a preset time period based on the actual operating power of the power grid at the current moment; determines the optimal configuration capacity of the power grid spinning reserve for the preset time period based on the probability distribution function of the power deficit of the power grid at each moment within the preset time period; and configures the power grid spinning reserve for the preset time period according to the optimal configuration capacity of the power grid spinning reserve for the preset time period. The power grid spinning reserve configured by this solution can better compensate for the power deficit of the power grid caused by sudden power grid conditions, resulting in better stability during power grid operation.

[0057] The technical solution provided by this invention can increase the flexibility of power grid configuration of spinning reserve and reduce the cost of power grid configuration of spinning reserve under the same conditions. Attached Figure Description

[0058] Figure 1 This is a flowchart of a power grid spinning reserve configuration method based on situational awareness;

[0059] Figure 2 This is a structural diagram of a power grid spinning reserve configuration system based on situational awareness. Detailed Implementation

[0060] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0061] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0062] This invention provides a power grid spinning reserve configuration method based on situational awareness, such as... Figure 1 As shown, the method includes:

[0063] Step 101. A probability distribution function for determining the load power deficit of the power grid at each time point within a preset time period based on the actual operating power of the power grid at the current time.

[0064] Step 102. Used to determine the optimal configuration capacity of the grid spinning reserve for the preset time period based on the probability distribution function of the grid load power deficit at each moment within the preset time period;

[0065] Step 103. Configure the grid spinning reserve for the preset time period according to the optimal configuration capacity of the grid spinning reserve for the preset time period.

[0066] Specifically, the actual operating power of the power grid includes: the actual generator power generation power, the actual renewable energy power generation power, the actual load power, and the actual fault deficit power.

[0067] In the preferred embodiment of the present invention, the actual power generation of the grid generators, the actual power generation of the grid new energy sources, the actual load power of the grid, and the actual fault deficit power of the grid all satisfy a Gaussian distribution.

[0068] Specifically, step 101 includes:

[0069] Step 101-1 is used to simulate the power grid operation scenario for a preset period based on the actual operating power of the power grid at the current moment;

[0070] Step 101-2 is used to determine the power grid state transition matrix corresponding to each moment within the preset time period based on the power grid operation state at each moment within the preset time period in the power grid simulation operation scenario.

[0071] Step 101-3 is used to determine the probability distribution function of the power load deficit of the power grid at each moment within the preset time period based on the power grid state transition matrix corresponding to each moment within the preset time period;

[0072] Steps 101-1 and 101-2 can be implemented using the Monte Carlo algorithm.

[0073] Furthermore, step 101-2 is used for:

[0074] The power grid state transition matrix P corresponding to the i-th time point within the preset time period is determined by the following formula. i :

[0075]

[0076] In the formula, Let S1 be the probability that the power grid operating state will change from S1 to S2 at the i-th time within the preset time period from time t, where i ∈ (1~N), N is the total number of times in the preset time period, which can be 30, and the duration of the time interval can be 1 minute. S1 is the normal operating state of the power grid, S2 is the correctable operating state of the power grid, and S3 is the emergency operating state of the power grid. t is the current time, and the i-th time within the preset time period is time t+i.

[0077] Wherein, the following formula is used to determine the

[0078]

[0079] In the formula, Let S be the number of power grid simulation scenarios where the power grid operating state is S1 at time t and the power grid operating state is S2 at the i-th time within a preset time period. Let t be the number of power grid simulation operation scenarios where the power grid operation state is S1 at time t.

[0080] Wherein, if the power grid operating power at the i-th moment within a preset time period in the power grid simulation operation scenario satisfies P t+i,L -P t+i,G -P t+i,NE +P t+i,fail ≤P n Then, the power grid operating state at the i-th moment within the preset time period in the power grid simulation operation scenario is S1;

[0081] If the power grid operating power at time i within a preset time period in the power grid simulation operation scenario satisfies P n <P t+i,L -P t+i,G -P t+i,NE +P t+i,fail ≤P e Then, the power grid operating state at the i-th moment within the preset time period in the power grid simulation operation scenario is S2;

[0082] If the power grid operating power at time i within a preset time period in the power grid simulation operation scenario satisfies P t+i,L -P t+i,G -P t+i,NE +P t+i,fail >P e Then, the power grid operating state at the i-th moment within the preset time period in the power grid simulation operation scenario is S3;

[0083] Among them, P e The load power deficit threshold that triggers emergency frequency control in the power system, P n To trigger the load power deficit threshold for power system frequency control, P t+i,L Let P be the load power of the power grid at the i-th time within a preset time period in the power grid simulation operation scenario. t+i,GLet P be the generator power output of the power grid at the i-th moment within a preset time period in the power grid simulation operation scenario. i,NE Let P be the renewable energy generation power of the power grid at the i-th time within a preset time period in the power grid simulation operation scenario. i,fail This represents the fault deficit power of the power grid at the i-th moment within a preset time period in a power grid simulation operation scenario.

[0084] Furthermore, step 101-2 is used for:

[0085] The probability distribution function f of the power grid load deficit at time i within a preset time period is determined by the following formula. i (P LL ):

[0086]

[0087] In the formula, S(t) is the power grid operating state matrix at the current time t. Let be the probability distribution function of the possible load power deficit when the power grid is operating in state S1. Let be the probability distribution function of the possible load power deficit when the power grid is operating in state S2. Let P be the probability distribution function of the load power deficit that may occur when the power grid is operating in state S3. i Let N be the power grid state transition matrix corresponding to the i-th time point within a preset time period, where i ∈ (1~N) and N is the total number of time points in the preset time period.

[0088] Among them, the Let Gaussian distribution function have variance of 1 and expectation of 0. The variance is 1 and the expected value is P. n Gaussian distribution function, The variance is 1 and the expected value is P. e Gaussian distribution function, P e The load power deficit threshold that triggers emergency frequency control in the power system, P n The load power deficit threshold that triggers frequency control in the power system.

[0089] Furthermore, the power grid operating state matrix S(t) at the current time t is determined by the following formula:

[0090]

[0091] In the formula, S t Let S1 be the normal operating state of the power grid at the current time t, S2 be the correctable operating state of the power grid, and S3 be the emergency operating state of the power grid.

[0092] Wherein, if the load power deficit ΔP of the power grid at the current time t now,t ≤Pn Then the power grid state S at the current time t t =S1; If the load power deficit P of the power grid at the current time t is... n <ΔP now,t ≤P e Then the power grid state S at the current time t t =S2; If the load power deficit ΔP of the power grid at the current time t is... now,t >P e Then the power grid state S at the current time t t =S3.

[0093] Specifically, step 102 is used for:

[0094] The expected value of the probability distribution function of the power load deficit of the power grid at each moment within the preset time period is substituted into the capacity optimization calculation model of the spinning reserve. The model is solved using the particle swarm optimization algorithm to obtain the optimal configuration capacity of the power grid spinning reserve for the preset time period.

[0095] Furthermore, the objective function of the capacity optimization calculation model for rotating reserve is determined by the following formula:

[0096] minF=R SR +R EDNS

[0097] In the formula, F represents the total cost of configuring spinning reserves in the power grid, and R... SR The cost of configuring spinning reserve equipment for the power grid, R EDNS The spinning reserve capacity allocated to the power grid is insufficient to cope with the costs to the power grid in the event of a power grid emergency;

[0098] The constraints of the objective function of the rotating reserve capacity optimization calculation model are determined by the following formula:

[0099] P LL,i -P sr <P max

[0100] Among them, P LL,i Let P be the expected value of the probability distribution function of the power load deficit of the power grid at time i within a preset time period. max Let i be the maximum power deficit that the power grid can withstand under emergency conditions, i∈(1~N), and N be the total number of time periods in the preset time period;

[0101] Among them, the cost R of the grid when the spinning reserve capacity configured in the grid is insufficient to cope with grid emergencies is determined by the following formula. EDNS :

[0102]

[0103] In the formula, L dwsP represents the grid cost caused by insufficient unit spinning reserve capacity. LL,τ Let P be the expected value of the probability distribution function of the power load deficit of the power grid at time τ within a preset time period. sr The capacity of the spinning reserve configured for the power grid, τ∈(1~ρ), where ρ is the capacity that satisfies P within a preset time period. LL,τ >P sr The total number of moments;

[0104] The equipment cost R for power grid configuration of spinning reserve is determined by the following formula. SR :

[0105] R SR =k SR ·P sr

[0106] In the formula, k SR The cost of preparing units for rotational backup.

[0107] This invention provides a power grid spinning reserve configuration system based on situational awareness, such as... Figure 2 As shown, the system includes:

[0108] The first determining module is used to determine the probability distribution function of the power load deficit of the power grid at each time within a preset time period based on the actual operating power of the power grid at the current time.

[0109] The second determining module is used to determine the optimal configuration capacity of the grid spinning reserve for the preset time period based on the probability distribution function of the grid load power deficit at each moment within the preset time period.

[0110] The configuration module is used to configure the grid spinning reserve for a preset period according to the optimal configuration capacity of the grid spinning reserve for a preset period.

[0111] Specifically, the actual operating power of the power grid includes: the actual generator power generation power, the actual renewable energy power generation power, the actual load power, and the actual fault deficit power.

[0112] Specifically, the first determining module includes:

[0113] The simulation unit is used to simulate the power grid operation scenario for a preset period based on the actual operating power of the power grid at the current moment;

[0114] The first determining unit is used to determine the power grid state transition matrix corresponding to each moment within the preset time period based on the power grid operation state at each moment within the preset time period in the power grid simulation operation scenario.

[0115] The second determining unit is used to determine the probability distribution function of the power load deficit of the power grid at each moment within the preset time period based on the power grid state transition matrix corresponding to each moment within the preset time period.

[0116] Furthermore, the first determining unit is configured to:

[0117] The power grid state transition matrix P corresponding to the i-th time point within the preset time period is determined by the following formula. i :

[0118]

[0119] In the formula, Let S1 be the probability that the power grid operating state will change from S1 to S2 at the i-th time within the preset time period from time t, where i∈(1~N), N is the total number of times in the preset time period, S1 is the normal operating state of the power grid, S2 is the correctable operating state of the power grid, S3 is the emergency operating state of the power grid, t is the current time, and the i-th time within the preset time period is time t+i.

[0120] Wherein, the following formula is used to determine the

[0121]

[0122] In the formula, Let S be the number of power grid simulation scenarios where the power grid operating state is S1 at time t and the power grid operating state is S2 at the i-th time within a preset time period. Let t be the number of power grid simulation operation scenarios where the power grid operation state is S1 at time t.

[0123] Wherein, if the power grid operating power at the i-th moment within a preset time period in the power grid simulation operation scenario satisfies P t+i,L -P t+i,G -P t+i,NE +P t+i,fail ≤P n Then, the power grid operating state at the i-th moment within the preset time period in the power grid simulation operation scenario is S1;

[0124] If the power grid operating power at time i within a preset time period in the power grid simulation operation scenario satisfies P n <P t+i,L -P t+i,G -P t+i,NE +P t+i,fail ≤P e Then, the power grid operating state at the i-th moment within the preset time period in the power grid simulation operation scenario is S2;

[0125] If the power grid operating power at time i within a preset time period in the power grid simulation operation scenario satisfies P t+i,L -P t+i,G -P t+i,NE +P t+i,fail >P e Then, the power grid operating state at the i-th moment within the preset time period in the power grid simulation operation scenario is S3;

[0126] Among them, P e The load power deficit threshold that triggers emergency frequency control in the power system, P n To trigger the load power deficit threshold for power system frequency control, P t+i,L Let P be the load power of the power grid at the i-th time within a preset time period in the power grid simulation operation scenario. t+i,G Let P be the generator power output of the power grid at the i-th moment within a preset time period in the power grid simulation operation scenario. i,NE Let P be the renewable energy generation power of the power grid at the i-th time within a preset time period in the power grid simulation operation scenario. i,fail This represents the fault deficit power of the power grid at the i-th moment within a preset time period in a power grid simulation operation scenario.

[0127] Furthermore, the second determining unit is used for:

[0128] The probability distribution function f of the power grid load deficit at time i within a preset time period is determined by the following formula. i (P LL ):

[0129]

[0130] In the formula, S(t) is the power grid operating state matrix at the current time t. Let be the probability distribution function of the possible load power deficit when the power grid is operating in state S1. Let be the probability distribution function of the possible load power deficit when the power grid is operating in state S2. Let P be the probability distribution function of the load power deficit that may occur when the power grid is operating in state S3. i Let N be the power grid state transition matrix corresponding to the i-th time point within a preset time period, where i ∈ (1~N) and N is the total number of time points in the preset time period.

[0131] Among them, the Let Gaussian distribution function have variance of 1 and expectation of 0. The variance is 1 and the expected value is P. n Gaussian distribution function, The variance is 1 and the expected value is P. e Gaussian distribution function, P e The load power deficit threshold that triggers emergency frequency control in the power system, P n The load power deficit threshold that triggers frequency control in the power system.

[0132] Furthermore, the power grid operating state matrix S(t) at the current time t is determined by the following formula:

[0133]

[0134] In the formula, S t Let S1 be the normal operating state of the power grid at the current time t, S2 be the correctable operating state of the power grid, and S3 be the emergency operating state of the power grid.

[0135] Wherein, if the load power deficit ΔP of the power grid at the current time t now,t ≤P n Then the power grid state S at the current time t t =S1; If the load power deficit P of the power grid at the current time t is... n <ΔP now,t ≤P e Then the power grid state S at the current time t t =S2; If the load power deficit ΔP of the power grid at the current time t is... now,t >P e Then the power grid state S at the current time t t =S3.

[0136] Specifically, the second determining module is used for:

[0137] The expected value of the probability distribution function of the power load deficit of the power grid at each moment within the preset time period is substituted into the capacity optimization calculation model of the spinning reserve. The model is solved using the particle swarm optimization algorithm to obtain the optimal configuration capacity of the power grid spinning reserve for the preset time period.

[0138] Specifically, the objective function of the capacity optimization calculation model for rotating reserve is determined by the following formula:

[0139] minF=R SR +R EDNS

[0140] In the formula, F represents the total cost of configuring spinning reserves in the power grid, and R... SR The cost of configuring spinning reserve equipment for the power grid, R EDNS The spinning reserve capacity allocated to the power grid is insufficient to cope with the costs to the power grid in the event of a power grid emergency;

[0141] The constraints of the objective function of the rotating reserve capacity optimization calculation model are determined by the following formula:

[0142] P LL,i -P sr <P max

[0143] Among them, P LL,i Let P be the expected value of the probability distribution function of the power load deficit of the power grid at time i within a preset time period. max Let i be the maximum power deficit that the power grid can withstand under emergency conditions, i∈(1~N), and N be the total number of time periods in the preset time period;

[0144] Among them, the cost R of the grid when the spinning reserve capacity configured in the grid is insufficient to cope with grid emergencies is determined by the following formula. EDNS :

[0145]

[0146] In the formula, L dws P represents the grid cost caused by insufficient unit spinning reserve capacity. LL,τ Let P be the expected value of the probability distribution function of the power load deficit of the power grid at time τ within a preset time period. sr The capacity of the spinning reserve configured for the power grid, τ∈(1~ρ), where ρ is the capacity that satisfies P within a preset time period. LL,τ >P sr The total number of moments;

[0147] The equipment cost R for power grid configuration of spinning reserve is determined by the following formula. SR :

[0148] R SR =k SR ·P sr

[0149] In the formula, k SR The cost of preparing units for rotational backup.

[0150] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can 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, etc.) containing computer-usable program code.

[0151] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can 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, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0152] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0153] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0154] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A power grid spinning reserve configuration method based on situational awareness, characterized in that, The method includes: The probability distribution function of the power load deficit of the power grid at each time point within the preset time period is determined based on the actual operating power of the power grid at the current time. The optimal configuration capacity of the grid spinning reserve for the preset time period is determined based on the probability distribution function of the grid load power deficit at each moment within the preset time period. Configure the grid spinning reserve for the preset time period according to the optimal configuration capacity of the grid spinning reserve for the preset time period; The probability distribution function for determining the power load deficit of the power grid at each time point within a preset time period based on the actual operating power of the power grid at the current time includes: The simulation of the power grid operation scenario for a preset time period is based on the actual operating power of the power grid at the current moment; The power grid state transition matrix corresponding to each moment within the preset time period is determined based on the power grid operation status at each moment within the preset time period in the power grid simulation operation scenario. The probability distribution function of the power load deficit of the power grid at each moment within the preset time period is determined based on the power grid state transition matrix corresponding to each moment within the preset time period. The step of determining the probability distribution function of the power load deficit of the power grid at each moment within the preset time period based on the power grid state transition matrix corresponding to each moment within the preset time period includes: The probability distribution function f of the power grid load deficit at time i within a preset time period is determined by the following formula. ci (P LL ): In the formula, S(t) is the power grid operating state matrix at the current time t. Let be the probability distribution function of the possible load power deficit when the power grid is operating in state S1. Let be the probability distribution function of the possible load power deficit when the power grid is operating in state S2. Let P be the probability distribution function of the load power deficit that may occur when the power grid is operating in state S3. i Let N be the power grid state transition matrix corresponding to the i-th time point within a preset time period, where i ∈ (1~N) and N is the total number of time points in the preset time period. Among them, the Let Gaussian distribution function have variance of 1 and expectation of 0. The variance is 1 and the expected value is P. n Gaussian distribution function, The variance is 1 and the expected value is P. e Gaussian distribution function, P e The load power deficit threshold that triggers emergency frequency control in the power system, P n The load power deficit threshold that triggers frequency control in the power system; The step of determining the power grid state transition matrix corresponding to each moment within a preset time period based on the power grid operating state at each moment within a preset time period in the power grid simulation operation scenario includes: The power grid state transition matrix P corresponding to the i-th time point within the preset time period is determined by the following formula. i : In the formula, Let S1 be the probability that the power grid operating state will change from S1 to S2 at the i-th time within the preset time period from time t, where i∈(1~N), N is the total number of times in the preset time period, S1 is the normal operating state of the power grid, S2 is the correctable operating state of the power grid, S3 is the emergency operating state of the power grid, t is the current time, and the i-th time within the preset time period is time t+i. Wherein, the following formula is used to determine the In the formula, Let S be the number of power grid simulation scenarios where the power grid operating state is S1 at time t and the power grid operating state is S2 at the i-th time within a preset time period. Let t be the number of power grid simulation operation scenarios where the power grid operation state is S1 at time t.

2. The method as described in claim 1, characterized in that, The actual operating power of the power grid includes: the actual generator power generation power, the actual renewable energy power generation power, the actual load power, and the actual fault deficit power.

3. The method as described in claim 1, characterized in that, If the power grid operating power at time i within a preset time period in the power grid simulation operation scenario satisfies P t+i，L -P t+i，G -P t+i，NE +P t+i，fail ≤P n Then, the power grid operating state at the i-th moment within the preset time period in the power grid simulation operation scenario is S1; If the power grid operating power at time i within a preset time period in the power grid simulation operation scenario satisfies P n <P t+i,L -P t+i,G -P t+i,NE +P t+i,fail ≤P e Then, the power grid operating state at the i-th moment within the preset time period in the power grid simulation operation scenario is S2; If the power grid operating power at time i within a preset time period in the power grid simulation operation scenario satisfies P t+i,L -P t+i,G -P t+i,NE +P t+i,fail >P e Then, the power grid operating state at the i-th moment within the preset time period in the power grid simulation operation scenario is S3; Among them, P e The load power deficit threshold that triggers emergency frequency control in the power system, P n To trigger the load power deficit threshold for power system frequency control, P t+i,L Let P be the load power of the power grid at the i-th time within a preset time period in the power grid simulation operation scenario. t+i,G Let P be the generator power output of the power grid at the i-th moment within a preset time period in the power grid simulation operation scenario. t+i,NE Let P be the renewable energy generation power of the power grid at the i-th time within a preset time period in the power grid simulation operation scenario. t+i,fail This represents the fault deficit power of the power grid at the i-th moment within a preset time period in a power grid simulation operation scenario.

4. The method as described in claim 1, characterized in that, The power grid operating state matrix S(t) at the current time t is determined by the following formula: In the formula, S t Let S1 be the normal operating state of the power grid at the current time t, S2 be the correctable operating state of the power grid, and S3 be the emergency operating state of the power grid. Wherein, if the load power deficit ΔP of the power grid at the current time t now,t ≤P n Then the power grid state S at the current time t t =S1; If the load power deficit P of the power grid at the current time t is... n <ΔP now,t ≤P e Then the power grid state S at the current time t t =S2; If the load power deficit ΔP of the power grid at the current time t is... now,t >P e Then the power grid state S at the current time t t =S3.

5. The method as described in claim 1, characterized in that, The step of determining the optimal configuration capacity of the grid spinning reserve for a preset time period based on the probability distribution function of the grid load power deficit at each moment within the preset time period includes: The expected value of the probability distribution function of the power load deficit of the power grid at each moment within the preset time period is substituted into the capacity optimization calculation model of the spinning reserve. The model is solved using the particle swarm optimization algorithm to obtain the optimal configuration capacity of the power grid spinning reserve for the preset time period.

6. The method as described in claim 5, characterized in that, The objective function of the capacity optimization calculation model for rotating reserve is determined by the following formula: minF=R SR +R EDNS In the formula, F represents the total cost of configuring spinning reserves in the power grid, and R... SR The cost of configuring spinning reserve equipment for the power grid, R EDNS The spinning reserve capacity allocated to the power grid is insufficient to cope with the costs to the power grid in the event of a power grid emergency; The constraints of the objective function of the rotating reserve capacity optimization calculation model are determined by the following formula: P LL,i -P sr <P max Among them, P LL,i Let P be the expected value of the probability distribution function of the power load deficit of the power grid at time i within a preset time period. max Let i be the maximum power deficit that the power grid can withstand under emergency conditions, i∈(1~N), and N be the total number of time periods in the preset time period; Among them, the cost R of the grid when the spinning reserve capacity configured in the grid is insufficient to cope with grid emergencies is determined by the following formula. EDNS : In the formula, L dws P represents the grid cost caused by insufficient unit spinning reserve capacity. LL,τ Let P be the expected value of the probability distribution function of the power load deficit of the power grid at time τ within a preset time period. sr The capacity of the spinning reserve configured for the power grid, τ∈(1~ρ), where ρ is the capacity that satisfies P within a preset time period. LL,τ >P sr The total number of moments; The equipment cost R for power grid configuration of spinning reserve is determined by the following formula. SR : R SR =k SR ·P sr In the formula, k SR The cost of preparing units for rotational backup.

7. A situation-aware-based power grid spinning reserve configuration system, used in the situation-aware-based power grid spinning reserve configuration method as described in claim 1, characterized in that, The system includes: The first determining module is used to determine the probability distribution function of the power load deficit of the power grid at each time within a preset time period based on the actual operating power of the power grid at the current time. The second determining module is used to determine the optimal configuration capacity of the grid spinning reserve for the preset time period based on the probability distribution function of the grid load power deficit at each moment within the preset time period. The configuration module is used to configure the grid spinning reserve for a preset period according to the optimal configuration capacity of the grid spinning reserve for a preset period.

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