New energy station transaction method and device adaptive to access of green motor mechanism and phase modifier

Abstract

The invention provides a new energy station transaction method and device adaptive to access of a green motor mechanism and a phase modifier, and relates to the technical field of new energy. The method comprises the following steps: solving by taking the maximization of the delivery channel capacity as a target and taking the power generation constraint of a new energy station as a constraint condition, and generating a new energy station delivery channel capacity allocation strategy adaptive to the access demand of a phase modifier; constructing a Nash bargaining model incorporating the market benefit contribution degree by taking overall benefit optimization as a target and individual rationality constraint as a constraint condition, and solving the Nash bargaining model to generate a benefit distribution strategy; and taking the delivery channel capacity distribution strategy and the benefit distribution strategy of the new energy station as transaction strategies. By adopting the scheme, the capacity of a regional delivery channel is effectively improved, and fairness and reasonability of benefit distribution of market members participating in the electricity market are ensured.

Description

Technical Field

[0001] The present application relates to the field of new energy technology, and in particular to a new energy station trading method and device adapted to green electricity mechanism and phase shifter access. Background Art

[0002] New energy is of great significance to achieving sustainable development and responding to energy challenges due to its environmental protection, renewable, resource-rich, energy security and economic benefits. Accelerating the development and utilization of large-scale renewable energy is the only way for mankind to get rid of the energy crisis.

[0003] At present, new energy technology is in a stage of rapid development. While new energy technology is developing rapidly, it has also brought great changes to the power system. Under the background of vigorously promoting power market reform, the trading mechanism of the new power market has become a top priority. In the traditional power market trading strategy, the regional transmission channel capacity of new energy stations is often not fully utilized, and the configuration of phase-shifting units and the impact of participating in green power market trading on output are not fully considered. The resource allocation is not optimized, resulting in a reduction in the economic efficiency of the power system. On this basis, the distribution of benefits also lacks fairness and rationality, resulting in the disproportionate income of new energy stations and their actual contributions, which affects the enthusiasm of new energy stations to participate in the market. Therefore, there is an urgent need for a trading method for new energy stations that adapt to the green power mechanism and phase-shifting units. Summary of the invention

[0004] This application aims to at least to some extent solve the problem in the related technology that the capacity of regional transmission channels is often not fully utilized, and the configuration of phase-shifting units and the impact of participating in green electricity market transactions on output are not fully considered. The resource allocation is not optimized, resulting in reduced economic efficiency of the power system. On this basis, the distribution of benefits also lacks fairness and rationality, resulting in the income of new energy stations being disproportionate to their actual contributions, which affects the enthusiasm of new energy stations to participate in the market.

[0005] To this end, the first purpose of this application is to propose a new energy station trading method that adapts to the green electricity mechanism and phase-shifting phase access, which can not only effectively improve the capacity of regional transmission channels and improve the economy of the power system, but also ensure the fairness and rationality of the profit distribution of each station participating in the power market, and ensure the enthusiasm of market members to participate in power market transactions.

[0006] The second purpose of this application is to propose a new energy station trading device that is adapted to the green electricity mechanism and phase-shifting phase access.

[0007] The third objective of the present application is to provide a computer device.

[0008] A fourth object of the present application is to provide a non-transitory computer-readable storage medium.

[0009] To achieve the above-mentioned purpose, the first embodiment of the present application proposes a new energy station trading method adapted to the green electricity mechanism and phase-shifting phase access, the trading strategy includes a new energy station transmission channel capacity allocation strategy and a profit distribution strategy, the method includes:

[0010] The transmission channel capacity is maximized as the goal and the power generation constraints of the new energy station are used as constraints to solve the problem, and a transmission channel capacity allocation strategy for the new energy station that is adapted to the access needs of the phase-shifting device is generated. The transmission channel capacity is determined by the output value of the new energy station, and the output value of the new energy station is related to whether the phase-shifting device is configured and whether it participates in the green power market transaction.

[0011] With the goal of optimizing overall benefits and individual rationality constraints as constraints, a Nash bargaining model that incorporates market benefit contribution is constructed, and the Nash bargaining model is solved to generate a benefit distribution strategy.

[0012] The capacity allocation strategy and profit distribution strategy of the new energy station transmission channel are used as trading strategies.

[0013] The embodiment of the present application is adapted to the green electricity mechanism and the trading method of new energy stations connected to the phase shifter, proposes a new energy power market trading mechanism applicable to the phase shifter based on the cooperative game model, ensures the maximization of the capacity of the regional transmission channel, and realizes the economy of the regional new energy power system; proposes an interest incentive mechanism based on the Nash bargaining theory, by introducing the important indicator of market benefit contribution to determine the degree of improvement of the market value of each station, and distributes and settles the interests according to the actual contribution level of the station, and determines the settlement rule of the interest incentive mechanism, to ensure that the net income of the station after participating in the power market is non-negative, thereby ensuring the enthusiasm of market members to participate in the market; considering the determination of the conversion coefficient of the new energy station configured by the phase shifter, a new energy station channel allocation strategy that is flexibly adapted to the access demand of the phase shifter is proposed, and compared with the scenario where the phase shifter is not connected, the output of each new energy station and the new energy consumption are calculated, proving that the access of the phase shifter has a positive correlation with the improvement of the capacity of the regional transmission channel, which is of great significance for studying the formulation of the green electricity trading strategy for the new energy stations deployed with the phase shifter. This embodiment can not only effectively increase the capacity of regional transmission channels and improve the economy of the power system, but also ensure the fairness and rationality of the profit distribution of each station participating in the power market, and ensure the enthusiasm of market members to participate in power market transactions.

[0014] Optionally, in one embodiment of the present application, the transmission channel capacity is the sum of the output values ​​of all new energy stations, and the objective function for maximizing the transmission channel capacity is:

[0015]

[0016] in, Refers to the sum of the power generation of all stations at time t.

[0017] Optionally, in one embodiment of the present application, the process of determining the output value of the new energy station includes:

[0018] When at least one new energy station is short-circuited, resulting in a limited new energy acceptance capacity, the converted installed capacity is used to determine the benchmark output of the new energy station equipped with a phase-shifting device. The expression of the converted installed capacity is:

[0019] P c =P a ·η

[0020] Among them, P c To calculate installed capacity, P a is the actual installed capacity, η is the conversion factor;

[0021] When the new energy station equipped with phase regulator does not participate in the green electricity market transaction, the calculation formula of η is:

[0022]

[0023] Among them, P con is the power generation capacity of the wind farm / photovoltaic power station under the phase-shifting mode, P ncon The power generation capacity of the wind farm / photovoltaic power station in the phase-shifting shutdown mode;

[0024] When a new energy station equipped with a phase regulator participates in the green electricity market transaction, the calculation formula of η is:

[0025] η=η ge +(η con -1)

[0026] Among them, η ge is the green power trading conversion coefficient, η con is the phase regulator conversion factor.

[0027] Optionally, in one embodiment of the present application, the power generation constraints of the new energy station include station power generation power balance constraints, station power generation upper and lower limit power constraints, unit power generation upper and lower limit power constraints, energy storage element charging and discharging constraints, and cooperative game new energy consumption constraints.

[0028] Optionally, in one embodiment of the present application, the expression of the station power generation balance constraint is:

[0029]

[0030] in, is the power generation capacity of the new energy station at time t, is the power generation capacity of the i-th generator set of the new energy station at time t;

[0031] The expression of the upper and lower power constraints of the station power generation is:

[0032]

[0033] in, is the upper limit of the power generation of the new energy station at time t;

[0034] The expression of the upper and lower power constraints of the unit generation is:

[0035]

[0036] Among them, P k For the power generation of conventional units, is the upper and lower limits of the power generation of conventional generator sets, P g The power generated by the new energy unit, The upper limit of the power generation capacity of the new energy units;

[0037] The expression of the charge and discharge constraints of the energy storage element is:

[0038]

[0039] in, is the power generation of the generator set in the i-th new energy station at time t, is the discharge power of the energy storage element in the i-th new energy station at time t, is the charging power of the energy storage element in the i-th new energy station at time t;

[0040] The expression of cooperative game new energy consumption constraints is:

[0041]

[0042] in, is the power generation of the generator set in the i-th new energy station at time t, is the rated power of the generator set in the i-th new energy station at time t.

[0043] Optionally, in an embodiment of the present application, the market benefit contribution is the value of the electricity volume of the new energy station participating in the market, and the calculation process of the market benefit contribution includes:

[0044] The calculation formula for defining the contribution of new energy stations is:

[0045]

[0046] in, is the contribution of the i-th new energy station under scenario s and time t, is the market-clearing marginal price, Provide electricity for new energy stations to participate in the market;

[0047] The formula for calculating the total contribution of new energy stations to market transactions is:

[0048]

[0049] Among them, ω s is the probability of scenario s;

[0050] The expression for calculating the total contribution of all new energy stations is:

[0051]

[0052] The market benefit contribution of new energy stations can be expressed as the ratio of the total contribution of new energy stations participating in market transactions to the contribution of all new energy stations:

[0053]

[0054] Among them, C is the total contribution of new energy stations participating in market transactions, and ∑C is the total contribution of all new energy stations.

[0055] Optionally, in one embodiment of the present application, the expression of the Nash bargaining model incorporating market benefit contribution is:

[0056]

[0057] Among them, Obj(f) is the objective function of the Nash bargaining model, r A,0 is the net income of the new energy station when it operates independently, r A is the net revenue function of the retailer, is the payment from the retailer to the i-th station, ψ ES It is a collection of new energy stations whose market benefit contribution is greater than 0. is the net cost of the new energy station when it operates independently. is the net cost function of the i-th station;

[0058] The expression of individual rationality constraint is:

[0059]

[0060] The Nash bargaining model has an analytical solution:

[0061]

[0062] The net income obtained by stations and electricity sellers from participating in the trading market is:

[0063]

[0064] Among them, CME i ·Δ is the income that the new energy station obtains from the cooperation surplus in proportion to its contribution to market benefits.

[0065] To achieve the above-mentioned purpose, the second embodiment of the present invention proposes a new energy station trading device adapted to the green electricity mechanism and phase-shifting phase access, wherein the trading strategy includes a new energy station transmission channel capacity allocation strategy and a profit distribution strategy, and the device includes:

[0066] The first strategy generation module is used to:

[0067] The transmission channel capacity is maximized as the goal and the power generation constraints of the new energy station are used as constraints to solve the problem, and a transmission channel capacity allocation strategy for the new energy station that is adapted to the access demand of the phase-shifting device is generated. The transmission channel capacity is determined by the output value of the new energy station, and the output value of the new energy station is related to whether the phase-shifting device is configured and whether it participates in the green power market transaction.

[0068] The second strategy generation module is used to:

[0069] With the goal of optimizing overall benefits and individual rationality constraints as constraints, a Nash bargaining model that incorporates market benefit contribution is constructed, and the Nash bargaining model is solved to generate a benefit distribution strategy.

[0070] Policy aggregation module for:

[0071] The new energy station transmission channel capacity allocation strategy obtained by the first strategy generation module and the profit distribution strategy obtained by the second strategy generation module are used as trading strategies.

[0072] To achieve the above-mentioned purpose, the third aspect of the present invention proposes a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the new energy station trading method adapted to the green electricity mechanism and phase-shifting phase access is implemented.

[0073] In order to achieve the above-mentioned objectives, the fourth aspect embodiment of the present invention proposes a non-temporary computer-readable storage medium. When the instructions in the storage medium are executed by a processor, the above-mentioned new energy station trading method adapted to the green electricity mechanism and phase-shifting phase access can be executed.

[0074] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0076] Figure 1 A flow chart of a new energy station trading method adapted to the green electricity mechanism and phase-shifting phase access provided in the first embodiment of the present application;

[0077] Figure 2 A schematic diagram of the structure of a new energy station trading device adapted to the green electricity mechanism and phase-shifting phase access provided in the second embodiment of the present application. DETAILED DESCRIPTION

[0078] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0079] The following describes the new energy station trading method and device adapted to the green electricity mechanism and phase-shifting phase access of the embodiment of the present application with reference to the accompanying drawings.

[0080] Figure 1 A flow chart of a new energy station trading method adapted to the green electricity mechanism and phase-shifting phase access provided in Example 1 of the present application, wherein the trading strategy includes a new energy station transmission channel capacity allocation strategy and a profit distribution strategy.

[0081] like Figure 1 As shown, the new energy station trading method adapted to the green electricity mechanism and phase-shifting access includes the following steps:

[0082] Step 101, taking the maximization of the transmission channel capacity as the goal and the power generation constraint of the new energy station as the constraint condition, a new energy station transmission channel capacity allocation strategy adapted to the phase-shifting phase access demand is generated.

[0083] Among them, the capacity of the transmission channel is determined by the output value of the new energy station, and the output value of the new energy station is related to whether it is equipped with a phase-shifting machine and whether it participates in the green electricity market transaction.

[0084] In this step, maximizing the capacity of the transmission channel refers to maximizing the capacity of the regional power transmission channel, that is, the sum of the output power of the new energy stations reaches the maximum. Taking this as the goal and considering the power generation constraints, the objective function can enable the new energy stations to efficiently transmit electric energy to the power grid. The power generation constraints include but are not limited to: station power generation balance constraints, station power generation upper and lower limit power constraints, unit power generation upper and lower limit power constraints, energy storage element charging and discharging constraints, and cooperative game new energy consumption constraints. Among them, the station power generation balance constraint is used to ensure that the total power generation of each station at each moment is equal to the sum of the power generation of each unit, the station power generation upper and lower limit power constraints are used to ensure that the power generation of each station is within the specified upper and lower limits, the unit power generation upper and lower limit power constraints are used to limit the power generation of conventional units and new energy units to be within the specified range, the energy storage element charging and discharging constraints are used to ensure that the charging and discharging behavior of the energy storage element complies with the regulations, and the cooperative game new energy consumption constraints are used to ensure that the new energy consumption complies with the regulations.

[0085] Specific solution process:

[0086] A mathematical model can be constructed as an optimization model, and the objective function is to maximize the sum of the outputs of all new energy stations. in, Refers to the sum of the power generation of all stations at time t. And considering the impact of phase-shifting configuration, when a new energy station is equipped with a phase-shifting machine, its benchmark output will be determined according to the converted installed capacity. The converted installed capacity is equal to the product of the actual installed capacity and the preset conversion coefficient. The conversion coefficient is the phase-shifting machine conversion coefficient, which is used to characterize the impact of the phase-shifting machine configuration on the power generation capacity of the new energy station. It should be noted that it is usually a value greater than 1, indicating that after the phase-shifting machine is configured, the power generation capacity of the new energy station is improved. In addition, the conversion coefficient is also related to participation in green power market transactions. If not, the conversion coefficient is equal to the ratio of the power generation capacity of the wind farm / photovoltaic power station in the operational mode of the phase-shifting machine to the power generation capacity of the wind farm / photovoltaic power station in the shutdown mode. If participating, the conversion coefficient needs to introduce the green power trading conversion coefficient. The green power trading conversion coefficient is used to characterize the impact of participating in green power market transactions on the power generation capacity of the station. It should be noted that it is also usually a value greater than 1, indicating that after participating in green power transactions, the power generation capacity of the new energy station has increased. In order to add the effects of the two coefficients together when calculating the converted installed capacity and avoid double counting, it is necessary to subtract 1 from the sum of the two. This 1 actually refers to the original basic value without any adjustment. Therefore, the conversion coefficient at this time is equal to the sum of the green power trading conversion coefficient and the phase-shifting machine conversion coefficient minus 1.

[0087] Based on the above objective function that combines power generation constraints and considers whether to configure phase-shifting and whether to participate in green power market transactions, an accurate capacity allocation strategy for the new energy station transmission channel can be obtained.

[0088] Step 102, constructing a Nash bargaining model that incorporates market benefit contribution with the goal of optimizing overall benefits and individual rationality constraints as constraints, and solving the Nash bargaining model to generate a benefit distribution strategy.

[0089] In this step, the optimal overall benefit means that the distribution of benefits among all participants is fair and reasonable, which encourages all parties to actively participate in market transactions. Individual rationality constraints mean that the net benefit of each participant in the cooperation is not lower than the benefit when acting alone. In order to ensure the optimal overall benefit, the most important indicator is the market benefit contribution, which refers to the economic value of each new energy station to the market electricity supply, and is used to characterize the actual contribution of each station to the market in different scenarios and times. By quantifying the market benefit contribution, the value of each station can be evaluated more fairly and reasonably, and the benefits can be distributed accordingly. A contribution calculation formula can be defined in advance, such as in, is the contribution of the i-th new energy station under scenario s and time t, is the market-clearing marginal price, The market electricity volume of new energy stations is calculated by this formula to calculate the market benefit contribution of each new energy station, and combined with the total contribution of new energy stations in market transactions, the ratio of the contribution of each new energy station to the total contribution is obtained as the market benefit contribution.

[0090] After obtaining the market benefit contribution, the objective function of the Nash bargaining model can be constructed. The Nash bargaining model is a model in game theory, which is used to solve the problem of benefit distribution among multiple participants. It ensures that the net benefit of each participant in cooperation is not less than the benefit when acting alone, while maximizing the overall benefit. This embodiment determines the contribution ratio of each participant through the market benefit contribution, which can ensure fair and reasonable benefit distribution.

[0091] Specific solution process:

[0092] First, define net revenue and net cost, including the net revenue of the new energy station when it is independently operated, the net cost of the new energy station when it is independently operated, and the payment made by the electricity seller to each new energy station. Then, the Nash bargaining model is constructed based on the net revenue, net cost, the payment made by the electricity seller to each new energy station, and the market benefit contribution obtained. Its expression is as follows: Among them, Obj(f) is the objective function of the Nash bargaining model, r A,0 is the net income of the new energy station when it operates independently, r Ais the net revenue function of the retailer, is the payment from the retailer to the i-th station, ψ ES It is a collection of new energy stations whose market benefit contribution is greater than 0. is the net cost of the new energy station when it operates independently. is the net cost function of the i-th station. Finally, the above model is solved by the optimization algorithm to obtain the payment of each new energy station. Thus, the profit distribution strategy is obtained.

[0093] Step 103, using the new energy station transmission channel capacity allocation strategy and the profit distribution strategy as the transaction strategy.

[0094] In this step, according to the method of step 101, the transmission channel capacity allocation model is established and solved to generate the optimal transmission channel capacity allocation plan, and according to the method of step 102, the Nash bargaining model is established and solved to generate a fair and reasonable benefit distribution plan, and the summarized trading strategy is obtained to output the transmission channel capacity allocation results of each new energy station and the benefit distribution results of each new energy station. The generated transmission channel capacity allocation strategy and benefit distribution strategy are applied to actual operations. Thereby effectively improving the regional transmission channel capacity and ensuring the fairness and rationality of the benefit distribution of market members participating in the electricity market.

[0095] The embodiment of the present application is adapted to the green electricity mechanism and the trading method of new energy stations connected to the phase shifter, proposes a new energy power market trading mechanism applicable to the phase shifter based on the cooperative game model, ensures the maximization of the capacity of the regional transmission channel, and realizes the economy of the regional new energy power system; proposes an interest incentive mechanism based on the Nash bargaining theory, by introducing the important indicator of market benefit contribution to determine the degree of improvement of the market value of each station, and distributes and settles the interests according to the actual contribution level of the station, and determines the settlement rule of the interest incentive mechanism, to ensure that the net income of the station after participating in the power market is non-negative, thereby ensuring the enthusiasm of market members to participate in the market; considering the determination of the conversion coefficient of the new energy station configured by the phase shifter, a new energy station channel allocation strategy that is flexibly adapted to the access demand of the phase shifter is proposed, and compared with the scenario where the phase shifter is not connected, the output of each new energy station and the new energy consumption are calculated, proving that the access of the phase shifter has a positive correlation with the improvement of the capacity of the regional transmission channel, which is of great significance for studying the formulation of the green electricity trading strategy for the new energy stations deployed with the phase shifter. This embodiment can not only effectively increase the capacity of regional transmission channels and improve the economy of the power system, but also ensure the fairness and rationality of the profit distribution of each station participating in the power market, and ensure the enthusiasm of market members to participate in power market transactions.

[0096] The method for trading a new energy station adapted to the green power mechanism and phase-shifting phase access provided in the embodiment of the present application can also be used for allocating transmission channels of new energy stations adapted to the green power mechanism and phase-shifting phase access, and the trading is used as a specific application example. The method is executed by an electronic device.

[0097] The method includes three steps: building a regional new energy station cooperation system, formulating an interest incentive mechanism based on Nash bargaining theory, and proposing a new energy station channel allocation strategy that flexibly adapts to the access needs of phase-shifting devices. Step A: Taking the maximum capacity of the power transmission channel in the entire region as the goal, consider the upper and lower limits of thermal power, renewable energy, and fuel cell power generation, climbing constraints, and energy storage element charging and discharging power constraints. And combine the different consumption rates of new energy stations under cooperative game and non-cooperative game to model the regional transmission channel capacity allocation method. This model and comparison help to reasonably allocate the channels of the regional power system, and at the same time can quantify the impact of the cooperative game model on the economy of the power system. Step B: Considering that the interaction between each power station in the power system follows the principle of self-interest first, a set of interest incentive mechanisms that are in line with the interests of each station are formulated to ensure fair and reasonable benefit distribution, and at the same time encourage each station to actively participate in the cooperative game model. Step C: Considering the configuration of the phase-shifting machine, it can effectively increase the total capacity of the transmission channel and the consumption of new energy. A new energy station channel allocation strategy that flexibly adapts to the needs of the phase-shifting machine access is proposed, and compared with the scenario where the phase-shifting machine is not connected, the output of each new energy station and the consumption of new energy are calculated. Through the above steps, the economic efficiency of the regional power system and the enthusiasm of each station to participate in the power market transaction can be further improved.

[0098] In the embodiment of the present application, the specific model construction and solution method in step A is as follows:

[0099] Taking the maximization of the transmission channel capacity as the objective function, a regional new energy station cooperative game output model is constructed. The objective function is as follows:

[0100]

[0101] The transmission channel capacity is the sum of the output values ​​of the stations in the region, where Refers to the sum of the power generated by all stations at time t. The constraints that the model needs to meet are as follows:

[0102] The expression of the power balance constraint of the station is:

[0103]

[0104] In the formula, is the power generation of the station at time t, P t iRefers to the power generation power of the i-th generator unit of the power station at time t, It is the sum of the power generated by all the generator sets in the station at time t, and the two values ​​are equal.

[0105] The expression of the upper and lower power constraints of the station power generation is:

[0106]

[0107] In the formula, Refers to the upper limit of the power generation of the station at time t. The actual power generation value of the station at time t should be between 0 and the upper limit of power generation.

[0108] The expression of the upper and lower power constraints of the unit generation is:

[0109]

[0110] Where P k For the power generation of conventional units, Respectively refer to the lower and upper limits of the power generation of conventional generator sets. g The power generated by the new energy unit, Refers to the upper limit of the power generation of new energy units, and the lower limit of the power generation of new energy units is 0. The power generation value of the generator set should be between the lower limit and the upper limit.

[0111] The expression of the charge and discharge constraint of the energy storage element is:

[0112]

[0113] In the formula, Refers to the power generated by the generator set in station i at time t, Refers to the discharge power of the energy storage element in station i at time t, Refers to the charging power of the energy storage element in station i at time t. This formula takes into account the charging and discharging power of the energy storage element. Charging is regarded as absorbing energy from the grid, and discharging is regarded as transmitting energy to the grid.

[0114] The expression of cooperative game new energy consumption constraint is:

[0115]

[0116] In the formula, Represents the real-time power of the new energy generator set at station i at time t, Represents the rated power of the new energy generator set at station i at time t. The cooperative game model adopts a balanced allocation strategy, that is, to ensure that the benefits of each participant are relatively equal, so the new energy consumption rate of each station should remain equal.

[0117] In the embodiment of the present application, step B specifically includes:

[0118] Firstly, the concept of market benefit contribution is introduced, and the actual contribution and value of each station in the power market transaction are clearly distinguished and evaluated by quantitative means. Then, a bargaining model incorporating market benefit contribution is constructed, aiming to accurately calculate and optimize the benefit distribution process between the electricity receiving company and the station. Through in-depth theoretical derivation, a scientific and reasonable benefit incentive mechanism is successfully formulated to ensure that both parties to the transaction can obtain fair and reasonable benefits based on their respective contributions.

[0119] 1) Calculation of market benefit contribution

[0120] The market benefit contribution is defined as the economic value of the electricity volume of the station participating in the market. The calculation formula is as follows.

[0121]

[0122] Where: is the benefit contribution of station i in scenario s and time period t, represents the market-clearing marginal price, is the amount of electricity that the station participates in the market, which can be positive or negative, so the absolute value of the electricity is taken in the above formula. This embodiment considers that both supply and demand generate value for the electricity market.

[0123] The total contribution of this station to market transactions and the total contribution of all stations are shown below.

[0124]

[0125] In the formula, C is the total contribution of the station to market transactions, and ∑C is the total contribution of all stations in the region to market transactions. s is the probability of scene s.

[0126] Therefore, the market benefit contribution of station i is CME i is the ratio of the total contribution of station i participating in market transactions to the contribution of all stations, that is,

[0127]

[0128] 2) Interest incentive mechanism

[0129] The settlement rules of the interest incentive mechanism can be obtained by optimizing and solving the following Nash bargaining model:

[0130]

[0131] Where Obj(f) is the objective function of the Nash bargaining model, r A,0 is the net income of the station when it operates independently, r Ais the net revenue function of the retailer. is the payment from the retailer to the station i, ψ ES It is a collection of stations whose market benefit contribution is greater than 0. The net cost of the station when it does not participate in the market and operates independently. is the net cost function of station i, CME i The market benefit contribution of station i.

[0132] In the above model, the optimization decision variables are x and the payment fee e that the electricity seller pays to the station. The goal of the model is to achieve the best overall benefit by maximizing the objective function. This function consists of two parts: the first part measures the change in the utility of the electricity seller before and after organizing the electricity market, reflecting the improvement of the efficiency of the electricity seller; the second part focuses on the difference in utility before and after the station participates in the market, reflecting the benefits obtained by the station from the market. In order to ensure the feasibility of the model and the active participation of market members, two key individual rational constraints are set, representing the individual rational principles of electricity sellers and stations. It ensures that both electricity sellers and stations can achieve cost reduction and benefit increase after participating in the electricity market, thereby ensuring the enthusiasm and willingness of market members to participate in the market.

[0133] Individual rationality constraints are as follows:

[0134]

[0135] The above Nash bargaining model has an analytical solution as follows:

[0136]

[0137] The model's interest incentive strategy clearly stipulates the two major components of station revenue: the first part It is the added value of individual operating costs directly caused by the station's participation in the electricity trading market, as compensation for its participation costs; the second part The revenue obtained by the station from the cooperation surplus is distributed in proportion to its energy contribution rate. The economic principle of this distribution mechanism has a double guarantee: first, it ensures that the lost revenue of each station participating in the cooperative system trading market is fully compensated to achieve incentives; second, based on the principles of fairness and efficiency, the social welfare growth brought about by the cooperation is shared according to the actual contribution of the station. In addition, the above rules also apply to stations that do not participate in market transactions. Since their contribution rate is 0 and the change in individual operating costs is 0, they do not enjoy any compensation.

[0138] From the interest incentive mechanism, we can know that the net income obtained by the station and the electricity seller after participating in the trading market is:

[0139]

[0140] Among them, ψ U is the power station collection, r A,1 is the net income of the electricity supplier after the station participates in the market, c U,1 is the net cost of the station after participating in the market. It can be seen that the net income of all stations and electricity sellers in the trading market is non-negative, thus ensuring the willingness of market members to participate.

[0141] In the embodiment of the present application, step C specifically includes:

[0142] When the short-circuit ratio of multiple renewable energy stations restricts the ability to accept renewable energy, for renewable energy stations equipped with phase regulators, the active power control dispatching master station uses the converted installed capacity when determining its benchmark output. The following formula is the calculation formula for the converted installed capacity:

[0143] P c =P a ·η

[0144] Among them, P c To calculate installed capacity, P a is the actual installed capacity, η is the conversion factor, not less than 1. The conversion factor calculation method is as follows:

[0145]

[0146] Among them, P con is the power generation capacity of the wind farm / photovoltaic power station under the phase-shifting mode, P ncon It is the power generation capacity of the wind farm / photovoltaic power station when the phase regulator is out of operation. When the phase regulator of a wind farm / photovoltaic power station is out of operation or cannot provide inertia and short-circuit capacity support normally, η=1.

[0147] When a new energy station equipped with a phase-shifting device participates in the green electricity market transaction, the conversion factor for calculating the converted installed capacity is obtained by arithmetic addition of the green electricity transaction conversion factor and the phase-shifting device conversion factor. The calculation formula is as follows:

[0148] η=η ge +(η con -1)

[0149] Among them, η ge is the green power trading conversion coefficient, which is a value not less than 1, η con It is the phase-shifting conversion coefficient, which is updated by the dispatching agency based on changes in new energy installed capacity and grid structure.

[0150] In order to implement the above-mentioned embodiments, the present application also proposes a new energy station trading device that is adapted to the green electricity mechanism and phase-shifting phase access.

[0151] Figure 2A schematic diagram of the structure of a new energy station trading device adapted to the green electricity mechanism and phase-shifting phase access provided in Example 2 of the present application, wherein the trading strategy includes a new energy station transmission channel capacity allocation strategy and a profit distribution strategy.

[0152] like Figure 2 As shown, the device comprises:

[0153] The first strategy generating module 21 is used for:

[0154] The transmission channel capacity is maximized as the goal and the power generation constraints of the new energy station are used as constraints to solve the problem, and a transmission channel capacity allocation strategy for the new energy station that is adapted to the access demand of the phase-shifting device is generated. The transmission channel capacity is determined by the output value of the new energy station, and the output value of the new energy station is related to whether the phase-shifting device is configured and whether it participates in the green power market transaction.

[0155] The second strategy generating module 33 is used for:

[0156] With the goal of optimizing overall benefits and individual rationality constraints as constraints, a Nash bargaining model that incorporates market benefit contribution is constructed, and the Nash bargaining model is solved to generate a benefit distribution strategy.

[0157] The policy summary module 23 is used to:

[0158] The new energy station transmission channel capacity allocation strategy obtained by the first strategy generation module 21 and the profit distribution strategy obtained by the second strategy generation module 22 are used as trading strategies.

[0159] It should be noted that the above explanation of the embodiment of the new energy station trading method adapted to the green electricity mechanism and the access of the phase-shifting transformer also applies to the new energy station trading device adapted to the green electricity mechanism and the access of the phase-shifting transformer in this embodiment, and will not be repeated here.

[0160] In order to implement the above embodiments, the present invention further proposes a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method described in the above embodiments is implemented.

[0161] In order to implement the above embodiments, the present invention further proposes a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the method of the above embodiments is implemented.

[0162] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0163] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0164] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0165] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0166] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0167] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0168] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0169] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A new energy station trading method adapted to the green electricity mechanism and phase-shifting access, characterized in that: The transaction strategy includes a new energy station transmission channel capacity allocation strategy and a profit distribution strategy, and the method includes: The transmission channel capacity is maximized as the goal and the power generation constraint of the new energy station is used as the constraint condition to solve the problem, and the transmission channel capacity allocation strategy of the new energy station adapted to the access demand of the phase-shifting device is generated, wherein the transmission channel capacity is determined by the output value of the new energy station, and the output value of the new energy station is related to whether the phase-shifting device is configured and whether the green power market transaction is participated in; A Nash bargaining model incorporating market benefit contribution is constructed with the overall benefit optimization as the goal and individual rationality constraints as the constraints, and the Nash bargaining model is solved to generate the benefit distribution strategy; The new energy station transmission channel capacity allocation strategy and the profit distribution strategy are used as the trading strategy.

2. The method according to claim 1, characterized in that The transmission channel capacity is the sum of the output values ​​of all new energy stations. The objective function for maximizing the transmission channel capacity is: in, Refers to the sum of the power generation of all stations at time t.

3. The method according to claim 1, characterized in that The process of determining the output value of new energy stations includes: When at least one new energy station is short-circuited, resulting in a limited new energy acceptance capacity, the converted installed capacity is used to determine the benchmark output of the new energy station equipped with the phase-shifting device, wherein the expression of the converted installed capacity is: P.S c JP a ·η Among them, P c To calculate installed capacity, P a is the actual installed capacity, η is the conversion factor; When the new energy station equipped with phase regulator does not participate in the green electricity market transaction, the calculation formula of η is: Among them, P con is the power generation capacity of the wind farm / photovoltaic power station under the phase-shifting operation mode, P ncon The power generation capacity of the wind farm / photovoltaic power station in the phase-converter outage mode; When a new energy station equipped with a phase regulator participates in the green electricity market transaction, the calculation formula of η is: the=the ge +n con -1 Among them, η ge is the green power trading conversion coefficient, η con is the phase regulator conversion factor.

4. The method according to claim 1, characterized in that The power generation constraints of the new energy station include station power balance constraints, station power generation upper and lower limit power constraints, unit power generation upper and lower limit power constraints, energy storage element charging and discharging constraints and cooperative game new energy consumption constraints.

5. The method according to claim 4, characterized in that The expression of the station power balance constraint is: in, is the power generation capacity of the entire new energy station at time t, is the power generation capacity of the i-th generator set of the new energy station at time t; The expression of the upper and lower power constraints of the station power generation is: in, is the upper limit of the power generation of the new energy station at time t; The expression of the upper and lower power constraints of the unit power generation is: Among them, P k For the power generation of conventional units, is the upper and lower limits of the power generation of conventional generator sets, P g The power generated by the new energy unit, The upper limit of the power generation capacity of the new energy units; The expression of the energy storage element charge and discharge constraint is: in, is the power generation of the generator set in the i-th new energy station at time t, is the discharge power of the energy storage element in the i-th new energy station at time t, is the charging power of the energy storage element in the i-th new energy station at time t; The expression of the cooperative game new energy consumption constraint is: in, is the power generation of the generator set in the i-th new energy station at time t, is the rated power of the generator set in the i-th new energy station at time t.

6. The method according to claim 1, characterized in that The market benefit contribution is the value of the electricity volume of the new energy station participating in the market. The calculation process of the market benefit contribution includes: The calculation formula for defining the contribution of new energy stations is: in, is the contribution of the i-th new energy station under scenario s and time t, is the market-clearing marginal price, Provide electricity for new energy stations to participate in the market; The formula for calculating the total contribution of new energy stations to market transactions is: Among them, ω s is the probability of scenario s; The expression for calculating the total contribution of all new energy stations is: The market benefit contribution of new energy stations can be expressed as the ratio of the total contribution of new energy stations participating in market transactions to the contribution of all new energy stations: Among them, C is the total contribution of new energy stations participating in market transactions, and ∑C is the total contribution of all new energy stations.

7. The method according to claim 6, characterized in that The expression of the Nash bargaining model incorporating market benefit contribution is: Among them, Obj(f) is the objective function of the Nash bargaining model, r A,0 is the net income of the new energy station when it operates independently, r A is the net revenue function of the retailer, is the payment made by the retailer to the i-th station, Ψ ES It is a collection of new energy stations whose market benefit contribution is greater than 0. is the net cost of the new energy station when it operates independently. is the net cost function of the i-th station; The individual rationality constraint expression is: The Nash bargaining model has an analytical solution: The net income obtained by stations and electricity sellers from participating in the trading market is: Among them, CME i ·Δ is the income that the new energy station obtains from the cooperation surplus in proportion to its contribution to market benefits.

8. A new energy station trading device adapted to the green electricity mechanism and phase-shifting phase access, characterized in that: The transaction strategy includes a new energy station transmission channel capacity allocation strategy and a profit distribution strategy, and the device includes: The first strategy generation module is used to: The transmission channel capacity is maximized as the goal and the power generation constraint of the new energy station is used as the constraint condition to solve the problem, and the transmission channel capacity allocation strategy of the new energy station adapted to the access demand of the phase-shifting device is generated, wherein the transmission channel capacity is determined by the output value of the new energy station, and the output value of the new energy station is related to whether the phase-shifting device is configured and whether the green power market transaction is participated in; The second strategy generation module is used to: A Nash bargaining model incorporating market benefit contribution is constructed with the overall benefit optimization as the goal and individual rationality constraints as the constraints, and the Nash bargaining model is solved to generate the benefit distribution strategy; Policy aggregation module for: The new energy station transmission channel capacity allocation strategy obtained by the first strategy generation module and the profit distribution strategy obtained by the second strategy generation module are used as the transaction strategy.

9. A computer device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, a new energy station trading method adapted to the green electricity mechanism and phase-shifting device access as described in any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the new energy station trading method adapted to the green electricity mechanism and phase-shifting phase access as described in any one of claims 1 to 7 is implemented.

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