Energy-assisted service-based charging method, system, device and storage medium

Abstract

The present invention provides a charging method, system, device and storage medium based on energy-assisted services, and relates to the technical field of distribution network transactions. The charging method based on energy-assisted services. Obtain user load data, real-time electricity price data, power grid data, moment information data of uncertain sources, uncertain range data of moment information, and generator climbing upper limit data; analyze the process of P2P transactions constituting a federal power plant in the entire distribution network, and establish an energy-assisted service two-stage economic dispatch optimization model; based on the energy-assisted service two-stage economic dispatch optimization model, derive the node marginal electricity price and the uncertain marginal electricity price, and explain the properties of the payment mechanism based on these two electricity prices; pass the acquired data as parameters into the energy-assisted service two-stage economic dispatch optimization model. This method can effectively optimize the electricity consumption behavior of each market participant while providing effective backup for the uncertain power generation and use in the entire power grid.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution network transactions, and in particular to a charging method, system, device and storage medium based on energy-auxiliary services. Background Art

[0002] In recent years, with the increasing popularity of distributed generation resources and the continuous advancement of information and communication technology, a form of distribution network trading based on P2P (Peer-to-Peer) has gradually become popular. This form of energy trading allows energy producers and consumers to directly trade electricity, thereby increasing the consumption rate of renewable energy at the user end. Since the market mechanism allows energy producers and consumers to set their own trading prices and trading volumes, each market participant can also maximize their own trading benefits. Most participants in P2P transactions consume energy locally, and few users need electricity from the upper power grid. Therefore, this trading scheme can reduce the transmission pressure of the transmission trunk line and the scheduling complexity of the upper power grid. In addition, the managers of the P2P market can further adjust the energy consumption of the entire market by adjusting the transaction price. Therefore, the entire P2P trading market can form a form of a federal power plant to participate in the auxiliary services in the upper power grid to meet the operation needs of the power grid while maximizing the individual interests of market participants. This form of federal power plant utilizes the external characteristics of the P2P market and has strong practical significance and economic value.

[0003] However, the existing charging methods effectively optimize the electricity consumption behavior of each market participant while providing effective backup for the uncertain power generation and consumption in the entire power grid. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the deficiencies of the prior art, the present invention provides a charging method, system, device and storage medium based on energy-ancillary services, which can effectively optimize the electricity consumption behavior of each market participant while providing effective backup for the uncertain power generation and consumption in the entire power grid.

[0006] (II) Technical solution

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0008] In a first aspect, a charging method based on energy-assisted services is provided, the method comprising:

[0009] Obtain user load data, real-time electricity price data, power grid data, moment information data of uncertain sources, uncertainty range data of moment information, and generator ramp upper limit data, and pass the acquired data as parameters into the energy-auxiliary service two-stage economic dispatch optimization model;

[0010] Analyze the process of P2P transactions constituting a federal power plant in the entire distribution network and establish a two-stage economic dispatch optimization model for energy-ancillary services;

[0011] Based on the energy-ancillary service two-stage economic dispatch optimization model, the node marginal electricity price and the uncertain marginal electricity price are derived, and the properties of the payment mechanism based on these two electricity prices are explained;

[0012] Based on the feasible region of economic dispatch, the concept of augmented absorption region is proposed to measure the dispatching capacity of federal power plants and verify the regulation capacity of each federal power plant and the uncertainty source of the whole system;

[0013] By substituting random sampling points in the uncertainty set into the hyperplane equation, it is verified that the absorption domain formed by each federal power plant absorbs the uncertainty domain;

[0014] The payments from various energy buyers and uncertain sources are sent to the federal power plants, financial transmission rights holders and power plants that provide ancillary services, completing the charging and payment of the entire federal power plant participating in the energy-ancillary services joint market.

[0015] Preferably, the user load data includes the annual load data of users in each community-level microgrid, and the minimum data collection interval is 15 minutes; the real-time electricity price adopts the national unified peak, valley and flat three-time electricity price; the grid data includes the connection relationship between each microgrid and the upper-level distribution network, the resistance and reactance values ​​of each branch, and the upper limit of the transmission power of each branch; the moment information of the uncertain source includes the probability density function, mathematical expectation and variance of the uncertain parameters; the uncertainty range of the moment information includes the variance and expected fluctuation range; the generator climbing upper limit includes the upper limit of the generator output power change at two adjacent time points.

[0016] Preferably, the establishment of the energy-auxiliary service two-stage economic dispatch optimization model is specifically as follows:

[0017] A distributed robust uncertainty set based on moment information is established to describe the range of variation of uncertain parameters.

[0018]

[0019] Among them, μ d,t is the uncertain variable at time t on node d, Pr{μ d,t}=1 means the total probability of the entire uncertain variable is 1, is the mathematical expectation of the uncertain variable, Σ d,t is the covariance of the uncertain variables, is the variance of the uncertain variable. This moment information specifies the expectation of the uncertain variable using a box uncertainty set and variance The range of changes are and [(σ 2 ) min ,(σ 2 ) max ];

[0020] The two-stage distributed robust economic dispatch objective model is:

[0021]

[0022] Among them, C i (.) is the cost function of power plant i, is the power generation of power plant i at time t, Indicates the upper limit of the cost corresponding to the uncertain parameter. is the power generation adjusted by power plant i at time t to neutralize the uncertain variation. Since the variation is related to the uncertain parameters, it is written in the expected form in the objective function. The deterministic part of this objective function is the first stage, and the uncertain part is the second stage. The deterministic and uncertain parts are added together to form a two-stage planning model.

[0023] The constraints of two-stage distributed robust economic dispatch are modeled as follows:

[0024]

[0025]

[0026]

[0027]

[0028]

[0029]

[0030]

[0031]

[0032]

[0033]

[0034] in, is the power generation of power plant i at time t, is the load power of load d at time t, They represent the lower and upper limits of power generation of power plant i at time t, They represent the lower and upper limits of the ramp power of power plant i at time t, respectively, l,d is the power transfer coefficient between line l and node d, is the injected active power of node d at time t, F l is the upper limit of power transmission of line l, is the value of the uncertain variable of node d at time t, is the power generation capacity adjusted by power plant i at time t to neutralize the uncertain variation, is the change in the power injected into node d caused by the uncertain variables, where the Greek letter after each constraint represents the Lagrangian dual variable of the corresponding constraint.

[0035] Preferably, the node marginal electricity price and the uncertain marginal electricity price specifically include:

[0036] Solving the partial derivative of the Lagrangian function for the energy-ancillary service two-stage economic dispatch optimization model gives the marginal price expression:

[0037]

[0038]

[0039]

[0040]

[0041] in, is the node marginal electricity price of the corresponding energy, is the uncertain marginal electricity price corresponding to the uncertain source, is the total amount to be paid for the uncertain source, The total amount that the electricity buyer needs to pay for electricity;

[0042] The uncertain parameters have the same sign as the uncertain marginal electricity price, i.e.

[0043]

[0044]

[0045] in, is the uncertain parameter of node d at time t, is the marginal electricity price corresponding to the node and time;

[0046] The break-even requirement for uncertain marginal electricity prices is

[0047]

[0048]

[0049]

[0050]

[0051]

[0052] in, The positive transmission margin reserved on line l for the holder of the financial transmission right, The negative transmission margin reserved for the holder of financial transmission rights on line l, is the total fee that the uncertain source needs to pay to the holder of the financial transmission right, The total amount that the uncertain source needs to pay to the federal power plant should be equal to the sum of the total amount that the uncertain source needs to pay to the holder of the financial transmission rights and the total amount that the uncertain source needs to pay to the federal power plant.

[0053] Preferably, the concept of augmented absorption domain is proposed based on the feasible domain of economic dispatch to measure the dispatching capacity of federal power plants and verify the regulation capacity of each federal power plant and the uncertainty source of the entire system, which specifically includes:

[0054] Reconstruct the feasible domain of the energy-ancillary service two-stage economic dispatch optimization model into a matrix form

[0055] ψ(μ):={x∣Pr(Ax+Bμ≤d)≥1-ò}

[0056] Wherein, x is a vector composed of deterministic variables, μ is a vector composed of uncertain variables, A, B and d are constant coefficient matrices corresponding to the constraints, respectively. The present invention sets the constraint as a chance constraint, that is, there is a 1-ò probability that the constraint is established;

[0057] The augmented absorption domain is defined as

[0058]

[0059] Among them, μ is the vector of uncertain variables. When the feasible domain is not an empty set, the corresponding uncertain variables are absorbable uncertain variables.

[0060] Find the corresponding augmented absorption domain and construct the auxiliary problem as

[0061] min x,ζ 1 ζ

[0062]

[0063] ζ ≥ 0

[0064] Among them, ζ is the introduced auxiliary variable, E{x} is the expectation of the deterministic variable, is the expectation of the uncertain variable, is the 1-ò quantile of the uncertain variable under the worst distribution, δ μ is the standard deviation of the uncertain variable, and σ is the dual variable corresponding to the constraint. When the auxiliary variable ζ=0, the augmented absorption domain exists and is not an empty set;

[0065] In order to intuitively solve the hyperplane that constitutes the augmented absorption domain, the energy-ancillary service two-stage economic dispatch optimization model is reconstructed as

[0066]

[0067] (A)σ=0,-1≤σ≤0

[0068] Among them, the meanings of the variables are consistent with those of the corresponding variables in the energy-ancillary service two-stage economic dispatch optimization model. Since ζ = 0 is the existence condition of the absorption domain, the objective function of the dual problem can be used to construct the hyperplane of the augmented absorption domain. By continuously generating the hyperplane, the final set of equations for the augmented absorption domain can be obtained.

[0069] Preferably, the payment of each energy buyer and uncertain source obtained is sent to each federal power plant, financial transmission right holder and power plant providing auxiliary services, and the charging and payment of the entire federal power plant participating in the energy-auxiliary service joint market is completed, including:

[0070] The change in the augmented absorption domain before and after the federal power plant participates in ancillary services is calculated as

[0071]

[0072] in, is the sum of the absolute values ​​of the uncertain set poles when there is no federal power plant m participating, It is the sum of the absolute values ​​of the uncertainty set poles when all federal power plants participate in ancillary services.

[0073] Preferably, the payment of each energy buyer and uncertain source obtained is sent to each federal power plant, financial transmission right holder and power plant providing auxiliary services, and the charging and payment of the entire federal power plant participating in the energy-auxiliary service joint market is completed, and further includes:

[0074] The payment from the uncertain source to the federal power plant m is:

[0075]

[0076] in, Payment for ancillary services received for federal power plant m, η m is the coefficient corresponding to the federal power plant remuneration.

[0077] In a second aspect, a charging system based on energy-assisted services is provided, the system comprising:

[0078] An acquisition module is used to acquire user load data, real-time electricity price data, power grid data, moment information data of uncertain sources, uncertainty range data of moment information, and generator climbing upper limit data;

[0079] Model building module, used to analyze the process of P2P transactions constituting a federated power plant in the entire distribution network and to establish a two-stage economic dispatch optimization model for energy-ancillary services;

[0080] The transmission module transfers the acquired data as parameters into the energy-ancillary service two-stage economic dispatch optimization model;

[0081] A solution module is used to derive the node marginal electricity price and the uncertain marginal electricity price, and explain the nature of the payment mechanism based on these two electricity prices and the payments of various energy buyers and uncertain sources;

[0082] A verification module, used to verify the regulation capability of each federal power plant and the uncertainty sources of the entire system, and to verify the absorption domain formed by each federal power plant to absorb the uncertainty domain;

[0083] The integration module is used to send the solved payments of various energy buyers and uncertain sources to the federal power plants, financial transmission rights holders and power plants that provide auxiliary services, thereby completing the charging and payment of the entire federal power plant participating in the energy-ancillary service joint market.

[0084] In a third aspect, a device is provided, the device comprising:

[0085] one or more processors;

[0086] a memory for storing one or more programs,

[0087] When the one or more programs are executed by the one or more processors, the one or more processors are caused to execute the energy-assisted service-based charging method.

[0088] In a fourth aspect, a computer-readable storage medium storing a computer program is provided, and when the program is executed by a processor, the charging method based on energy-assisted services is implemented.

[0089] (III) Beneficial effects

[0090] The charging method, system, device and storage medium based on energy-ancillary services of the present invention can effectively optimize the electricity consumption behavior of each market participant while providing effective backup for the uncertain power generation and use in the entire power grid; the uncertain marginal electricity price is used to charge the uncertain sources in the entire power system, which ensures the balance of revenue and expenditure of the entire power market while stimulating the P2P market to spontaneously form federal power plants to participate in ancillary services; the proposed augmented absorption domain can quickly and accurately identify whether the system's backup capacity can accommodate the random variable distribution under the worst state, and has a high use value. BRIEF DESCRIPTION OF THE DRAWINGS

[0091] Figure 1 It is a schematic diagram of the process of the present invention;

[0092] Figure 2 A framework diagram of a federal power plant and power plants outside the microgrid and a superior power grid consisting of energy producers and consumers within each microgrid of the present invention;

[0093] Figure 3 A schematic diagram of the enhanced absorption domain proposed by the present invention;

[0094] Figure 4 This is a schematic diagram of the capital flow of the uncertain marginal electricity price and the node marginal electricity price of the present invention. DETAILED DESCRIPTION

[0095] The following will be combined with the accompanying drawings of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0096] Example

[0097] like Figure 1-2 As shown, an embodiment of the present invention provides a method comprising the following steps:

[0098] (1) Obtain user load data, real-time electricity price data, power grid data, moment information data of uncertain sources, uncertainty range data of moment information, and generator ramp upper limit data, and pass the obtained data as parameters into the energy-ancillary service two-stage economic dispatch optimization model; the power grid data includes not only the upper limit of the power grid transmission capacity, but also the resistance and reactance values ​​of each line in the power grid and the upper and lower limits of the voltage amplitude of each node.

[0099] Furthermore, the user load data includes the annual load data of users in each community-level microgrid, and the minimum data collection interval is 15 minutes.

[0100] Furthermore, the real-time electricity price adopts the national unified peak, valley and flat electricity prices.

[0101] Furthermore, the grid data includes the connection relationship between each microgrid and the upper-level distribution network, the resistance and reactance values ​​of each branch, and the upper limit of the transmission power of each branch.

[0102] Furthermore, the moment information of the uncertainty source includes the probability density function, mathematical expectation and variance of the uncertain parameters.

[0103] Furthermore, the uncertainty range of the moment information includes the variance and the expected fluctuation range.

[0104] Furthermore, the generator climbing upper limit includes an upper limit of the change in the generator output power at two adjacent time points.

[0105] (2) Analyze the process of P2P transactions constituting a federated power plant in the entire distribution network and establish a two-stage economic dispatch optimization model for energy-ancillary services;

[0106] (21) Because the amount of random optimization calculations is too large in the distribution network-level P2P transaction process, and it is difficult to obtain the exact distribution of uncertain parameters, robust optimization easily leads to overly conservative optimization results. Therefore, the present invention establishes the following distributed robust uncertainty set based on moment information to describe the range of variation of uncertain parameters:

[0107]

[0108] In the formula, μ d,t is the uncertain variable at time t on node d, Pr{μ d,t}=1 means the total probability of the entire uncertain variable is 1, is the mathematical expectation of the uncertain variable, Σ d,t is the covariance of the uncertain variables, is the variance of the uncertain variable. This moment information specifies the expectation of the uncertain variable using a box uncertainty set and variance The range of changes are and [(σ 2 ) min ,(σ 2 ) max ].

[0109] (22) The two-stage distributed robust economic dispatch objective can be modeled as follows:

[0110]

[0111] In the formula, C i (.) is the cost function of power plant i, is the power generation of power plant i at time t, Indicates the upper limit of the cost corresponding to the uncertain parameter. is the power generation adjusted by power plant i at time t to neutralize the uncertain variation. Since the variation is related to the uncertain parameters, it is written in the expected form in the objective function. The deterministic part of this objective function is the first stage, and the uncertain part is the second stage. The deterministic and uncertain parts are added together to form a two-stage planning model.

[0112] (23) The constraints of two-stage distributed robust economic dispatch can be modeled as follows:

[0113]

[0114]

[0115]

[0116]

[0117]

[0118]

[0119]

[0120]

[0121]

[0122]

[0123] In the formula, is the power generation of power plant i at time t, is the load power of load d at time t, They represent the lower and upper limits of power generation of power plant i at time t, They represent the lower and upper limits of the ramp power of power plant i at time t, respectively, l,d is the power transfer coefficient between line l and node d, is the injected active power of node d at time t, F l is the upper limit of power transmission of line l, is the value of the uncertain variable of node d at time t, is the power generation capacity adjusted by power plant i at time t to neutralize the uncertain variation, is the change in the power injected into node d caused by the uncertain variables. The Greek letters after each constraint represent the Lagrangian dual variables of the corresponding constraint.

[0124] (3) Based on the distributed robust economic dispatch model, the present invention derives the node marginal electricity price and the uncertainty marginal electricity price, and explains the properties of the payment mechanism based on these two electricity prices;

[0125] (31) According to the definition of marginal price, the marginal electricity price is the amount of total cost corresponding to the increase of one unit load or uncertain variable. Therefore, the expression of marginal price can be obtained by solving the partial derivative of Lagrangian function for the energy-ancillary service two-stage economic dispatch optimization model. The model is as follows:

[0126]

[0127]

[0128]

[0129]

[0130] In the formula, is the node marginal electricity price of the corresponding energy, is the uncertain marginal electricity price corresponding to the uncertain source, is the total amount to be paid for the uncertain source, The total amount that electricity buyers need to pay for electricity.

[0131] (32) Existing literature has shown that the uncertain parameters have the same sign as the uncertain marginal electricity price, namely:

[0132]

[0133]

[0134] In the formula, is the uncertain parameter of node d at time t, is the marginal electricity price corresponding to the node and time. Because the two have the same sign, It is always established that the benefits obtained by federal power plants participating in ancillary services must be higher than those not participating in ancillary services, so every federal power plant will participate in ancillary services.

[0135] (33) The present invention assumes that the uncertain source needs to pay the ancillary service fee according to the uncertain marginal electricity price, and the electricity buyer needs to pay the electricity purchase fee according to the node marginal electricity price. Considering the existence of network congestion, the present invention considers that the holder of financial transmission rights will also reserve a part of the transmission margin for the uncertain source to balance the injection of uncertainty at each node in the network. Therefore, the balance of income and expenditure of the uncertain marginal electricity price is as follows:

[0136]

[0137]

[0138]

[0139]

[0140]

[0141] In the formula, The positive transmission margin reserved on line l for the holder of the financial transmission right, The negative transmission margin reserved for the holder of the financial transmission right on line l, so is the total fee that the uncertain source needs to pay to the holder of the financial transmission right, The total amount that the uncertain source needs to pay to the federal power plant should be equal to the sum of these two expenditures.

[0142] (4) In order to further verify whether the regulation capability of each federal power plant can neutralize the uncertainty source of the entire system, the present invention proposes a concept of augmented absorption domain based on the feasible domain of economic dispatch to measure the dispatch capability of the federal power plant;

[0143] (41) The feasible domain of the energy-ancillary service two-stage economic dispatch optimization model is reconstructed into a matrix form:

[0144] ψ(μ):={x∣Pr(Ax+Bμ≤d)≥1-ò}

[0145] In the formula, x is a vector composed of deterministic variables, μ is a vector composed of uncertain variables, A, B and d are constant coefficient matrices corresponding to the constraints respectively. The present invention sets the constraint as a chance constraint, that is, there is a 1-ò probability that the constraint is established, so the probability density under the worst distribution solved in the previous two stages of distributed robust optimization can be applied.

[0146] (42) Based on the feasible domain, the present invention defines the augmented absorption domain as follows:

[0147]

[0148] In the formula, μ is a vector of uncertain variables. When the feasible domain is not an empty set, the corresponding uncertain variables are absorbable uncertain variables. Figure 3 As shown in Figure 2, the augmented absorption domain is the range of uncertain variables that the system can absorb when considering the distribution of uncertain variables.

[0149] (43) In order to find the corresponding enhanced absorption domain, the auxiliary problem constructed in the present invention is as follows:

[0150] minx,ζ 1 ζ

[0151]

[0152] ζ ≥ 0

[0153] In the formula, ζ is the introduced auxiliary variable, E{x} is the expectation of the deterministic variable, min x,ζ 1 ζ is an equivalent transformation of the chance-constrained inequality in (41), is the expectation of the uncertain variable, is the 1-ò quantile of the uncertain variable under the worst distribution, δ μ is the standard deviation of the uncertain variable, and σ is the dual variable corresponding to the constraint. When the auxiliary variable ζ=0, the augmented absorption domain exists and is not an empty set.

[0154] (44) In order to intuitively solve the hyperplane that constitutes the augmented absorption domain, the present invention reconstructs the energy-ancillary service two-stage economic dispatch optimization model as follows:

[0155]

[0156] (A)σ=0,-1≤σ≤0

[0157] In the formula, the meaning of each variable is consistent with the corresponding variable in the energy-ancillary service two-stage economic dispatch optimization model. Since ζ = 0 is the existence condition of the absorption domain, the objective function of the dual problem can be used to construct the hyperplane of the augmented absorption domain. By continuously generating the hyperplane, the final set of equations for the augmented absorption domain can be obtained.

[0158] (5) After obtaining the corresponding hyperplane, the present invention can verify whether the absorption domain formed by each federal power plant can absorb the uncertainty domain in the present invention by substituting the random sampling points in the uncertainty set into the hyperplane equation.

[0159] (51) In order to reasonably allocate the fees paid by each uncertainty set in the present invention, the present invention calculates the change in the augmented absorption domain before and after the federal power plant participates in the auxiliary service as follows:

[0160]

[0161] In the formula, is the sum of the absolute values ​​of the uncertain set poles when there is no federal power plant m participating, It is the sum of the absolute values ​​of the uncertainty set poles when all federal power plants participate in ancillary services.

[0162] (52) Therefore, the uncertain source needs to pay the federal power plant m the following compensation:

[0163]

[0164] In the formula, Payment for ancillary services received for federal power plant m, η m is the coefficient corresponding to the federal power plant remuneration.

[0165] (6) Figure 4 As shown, the payments of various energy buyers and uncertain sources are sent to the federal power plants, financial transmission right holders and power plants that provide ancillary services, thereby completing the charging and payment of the entire federal power plant participating in the energy-ancillary service joint market.

[0166] The present invention is applicable to the distribution network with high penetration rate of distributed power sources. From the perspective of the distribution network, the external characteristics of the P2P trading market are applied to form a federal power plant to absorb the uncertainties in the system. From the perspective of the P2P market participants, they have completed the transaction, provided a guarantee for the safe and stable operation of the system, and can also obtain certain rewards from the uncertain source. Therefore, the present invention provides a new idea for P2P energy trading and effectively improves the local consumption rate of new energy.

[0167] Another embodiment of the present invention provides a charging system based on energy-assisted services in the above embodiment, the system comprising:

[0168] An acquisition module is used to acquire user load data, real-time electricity price data, power grid data, moment information data of uncertain sources, uncertainty range data of moment information, and generator climbing upper limit data;

[0169] Model building module, used to analyze the process of P2P transactions constituting a federated power plant in the entire distribution network and to establish a two-stage economic dispatch optimization model for energy-ancillary services;

[0170] The transmission module transfers the acquired data as parameters into the energy-ancillary service two-stage economic dispatch optimization model;

[0171] A solution module is used to derive the node marginal electricity price and the uncertain marginal electricity price, and explain the nature of the payment mechanism based on these two electricity prices and the payments of various energy buyers and uncertain sources;

[0172] A verification module, used to verify the regulation capability of each federal power plant and the uncertainty sources of the entire system, and to verify the absorption domain formed by each federal power plant to absorb the uncertainty domain;

[0173] The integration module is used to send the solved payments of various energy buyers and uncertain sources to the federal power plants, financial transmission rights holders and power plants that provide auxiliary services, thereby completing the charging and payment of the entire federal power plant participating in the energy-ancillary service joint market.

[0174] Another embodiment of the present invention provides a device, comprising:

[0175] one or more processors;

[0176] a memory for storing one or more programs,

[0177] When the one or more programs are executed by the one or more processors, the one or more processors are caused to execute the charging method based on energy-assisted services in the above-mentioned embodiments.

[0178] Yet another embodiment of the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the energy-assisted service-based charging method in the above-mentioned embodiment.

[0179] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

Claims

1. A charging method based on energy-assisted services, characterized in that: The method comprises: Obtain user load data, real-time electricity price data, power grid data, moment information data of uncertain sources, uncertainty range data of moment information, and generator climbing upper limit data; Analyze the process of P2P transactions constituting a federal power plant in the entire distribution network and establish a two-stage economic dispatch optimization model for energy-ancillary services; The acquired data are passed as parameters into the energy-ancillary service two-stage economic dispatch optimization model; Based on the energy-ancillary service two-stage economic dispatch optimization model, the node marginal electricity price and the uncertain marginal electricity price are derived, and the properties of the payment mechanism based on these two electricity prices are explained; Based on the feasible region of economic dispatch, the concept of augmented absorption region is proposed to measure the dispatching capacity of federal power plants, verify the regulation capacity of each federal power plant and the uncertainty source of the whole system; By substituting random sampling points in the uncertainty set into the hyperplane equation, it is verified that the absorption domain formed by each federal power plant absorbs the uncertainty domain; The payments from various energy buyers and uncertain sources are sent to the federal power plants, financial transmission rights holders and power plants that provide ancillary services, completing the charging and payment of the entire federal power plant participating in the energy-ancillary services joint market.

2. A charging method based on energy-assisted services according to claim 1, characterized in that: The user load data includes the annual load data of users in each community-level microgrid, and the minimum data collection interval is 15 minutes; the real-time electricity price adopts the national unified peak, valley and flat three-time electricity price; the grid data includes the connection relationship between each microgrid and the upper-level distribution network, the resistance and reactance values ​​of each branch, and the upper limit of the transmission power of each branch; the moment information of the uncertain source includes the probability density function, mathematical expectation and variance of the uncertain parameters; the uncertainty range of the moment information includes the variance and expected fluctuation range; the generator climbing upper limit includes the upper limit of the change of the generator output power at two adjacent time points.

3. A charging method based on energy-assisted services according to claim 2, characterized in that: The establishment of the energy-ancillary service two-stage economic dispatch optimization model is specifically as follows: A distributed robust uncertainty set based on moment information is established to describe the range of variation of uncertain parameters. in, For Node d Last time t The uncertain variables, Indicates that the total probability of the entire uncertain variable is 1, is the mathematical expectation of the uncertain variable, is the covariance of the uncertain variables, is the variance of the uncertain variable; this moment information specifies the expectation of the uncertain variable using a box uncertainty set and variance The range of changes are and ; The two-stage distributed robust economic dispatch objective model is: in, For power plants i The cost function is For power plants i At the moment t The power generation capacity, Indicates the upper limit of the cost corresponding to the uncertain parameter. For power plants i At the moment t The power generation is adjusted to neutralize the uncertain variation. Since the variation is related to the uncertain parameters, it is written in the expected form in the objective function. The deterministic part of this objective function is the first stage, and the uncertain part is the second stage. The deterministic and uncertain parts are added together to form a two-stage planning model. The constraints of two-stage distributed robust economic dispatch are modeled as: in, For power plants i At the moment t The power generation capacity, For load d At the moment t The load power, Respectively represent power plants i At the moment t The lower and upper limits of power generation, Respectively represent power plants i At the moment t The lower and upper limits of the climbing power, For line l and nodes d The power transfer coefficient, For Node d At the moment t The injected active power, For line l The upper limit of power transmission, For Node d At the moment t The uncertain variable value, For power plants i At the moment t The power generation is adjusted to neutralize the uncertain changes. Nodes caused by uncertain variables d The variation of injected power, where the Greek letter after each constraint represents the Lagrangian dual variable of the corresponding constraint.

4. A charging method based on energy-assisted services according to claim 3, characterized in that: The node marginal electricity price and the uncertain marginal electricity price specifically include: Solving the partial derivative of the Lagrangian function for the energy-ancillary service two-stage economic dispatch optimization model gives the marginal price expression: in, is the node marginal electricity price of the corresponding energy, is the uncertain marginal electricity price corresponding to the uncertain source, is the total amount to be paid for the uncertain source, The total amount that the electricity buyer needs to pay for electricity; The uncertain parameters have the same sign as the uncertain marginal electricity price, i.e. in, For Node d At the moment t The uncertain parameters, is the marginal electricity price corresponding to the node and time; The break-even requirement for uncertain marginal electricity prices is: in, For the holders of financial transmission rights on the line l The positive transmission margin reserved on For the holders of financial transmission rights on the line l The negative transmission margin reserved on is the total fee that the uncertain source needs to pay to the holder of the financial transmission right, The total amount that the uncertain source needs to pay to the federal power plant should be equal to the sum of the total amount that the uncertain source needs to pay to the holder of the financial transmission rights and the total amount that the uncertain source needs to pay to the federal power plant.

5. A charging method based on energy-assisted services according to claim 4, characterized in that: The concept of augmented absorption domain is proposed based on the feasible domain of economic dispatch to measure the dispatching capacity of federal power plants, verify the regulation capacity of each federal power plant and the uncertainty sources of the entire system. Specifically, the following are included: Reconstruct the feasible domain of the energy-ancillary service two-stage economic dispatch optimization model into a matrix form in, is a vector of deterministic variables, is a vector of uncertain variables, , and are the constant coefficient matrices corresponding to the constraints respectively, and the constraints are set as chance constraints, that is, The probability that the constraint holds; The augmented absorption domain is defined as: in, is a vector of uncertain variables. When the feasible domain is not an empty set, the corresponding uncertain variables are absorbable uncertain variables. Find the corresponding augmented absorption domain and construct the auxiliary problem as follows: in, is the auxiliary variable introduced, is the expectation of a deterministic variable, is the expectation of the uncertain variable, is the uncertainty variable under the worst distribution Percentile, is the standard deviation of the uncertain variable, is the dual variable corresponding to the constraint; when the auxiliary variable When , the augmented absorption domain exists and is not an empty set; In order to intuitively solve the hyperplane that constitutes the augmented absorption domain, the energy-ancillary service two-stage economic dispatch optimization model is reconstructed as: Among them, the meanings of each variable are consistent with the corresponding variables in the energy-ancillary service two-stage economic dispatch optimization model. This is the existence condition of the absorption domain. The objective function of the dual problem can be used to construct the hyperplane that augments the absorption domain. , and the final set of equations for the augmented absorption domain can be obtained by continuously generating the hyperplane.

6. A charging method based on energy-assisted services according to claim 5, characterized in that: The payment of each energy buyer and uncertain source is sent to each federal power plant, financial transmission right holder and power plant providing auxiliary services, and the charging and payment of the entire federal power plant participating in the energy-auxiliary service joint market are completed, including: The change in the augmented absorption domain before and after the federal power plant participates in ancillary services is calculated as: in, No federal power plants m The sum of the absolute values ​​of the extreme points of the uncertain set when participating, It is the sum of the absolute values ​​of the uncertainty set poles when all federal power plants participate in ancillary services.

7. A charging method based on energy-assisted services according to claim 6, characterized in that: The payment of each energy buyer and uncertain source obtained by the solution is sent to each federal power plant, financial transmission right holder and power plant providing auxiliary services, and the charging and payment of the entire federal power plant participating in the energy-auxiliary service joint market is completed, which also includes: Federal Power Plant m The payment is: in, Federal Power Plant m Remuneration for ancillary services received, is the coefficient corresponding to the federal power plant remuneration.

8. A charging system based on energy-assisted services, characterized in that: The system comprises: An acquisition module is used to acquire user load data, real-time electricity price data, power grid data, moment information data of uncertain sources, uncertainty range data of moment information, and generator climbing upper limit data; Model building module, used to analyze the process of P2P transactions constituting a federated power plant in the entire distribution network and to establish a two-stage economic dispatch optimization model for energy-ancillary services; The transmission module transfers the acquired data as parameters into the energy-ancillary service two-stage economic dispatch optimization model; A solution module is used to derive the node marginal electricity price and the uncertain marginal electricity price, and explain the nature of the payment mechanism based on these two electricity prices and the payments of various energy buyers and uncertain sources; A verification module is used to verify the regulation capability of each federal power plant and the uncertainty source of the entire system, as well as the absorption domain formed by each federal power plant to absorb the uncertainty domain; The integration module is used to send the solved payments of various energy buyers and uncertain sources to various federal power plants, financial transmission right holders and power plants that provide auxiliary services, so as to complete the charging and payment of the entire federal power plant participating in the energy-ancillary service joint market; The system is used to implement a charging method based on energy-assisted services as described in any one of claims 1-7.

9. A charging device based on energy-assisted services, characterized in that: The device comprises: one or more processors; a memory for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors are caused to execute the energy-assisted service-based charging method as described in any one of claims 1-7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the program is executed by a processor, the charging method based on energy-assisted services as described in any one of claims 1 to 7 is implemented.

Images