CN117934038A - Strategy calculation method for electric power spot transaction and auxiliary system thereof - Google Patents
Strategy calculation method for electric power spot transaction and auxiliary system thereof Download PDFInfo
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Abstract
The invention provides a strategy calculation method for electric power spot transaction and an auxiliary system thereof, which are suitable for new energy source allocation and storage to participate in the electric power spot transaction, wherein the strategy calculation method uses data of the daily market or simultaneously uses data of the daily market and data of the real-time market, and comprises the following steps: s 1, data acquisition and analysis; s 2, calculating an alternative charging plan; s 3, calculating an alternative discharge plan; s 4, calculating alternative charge and discharge plan cost and benefits; s 5, cross pairing screening charge and discharge plans; s 6, calculating whether the current income is greater than the single charge and discharge depreciation cost, and if so, executing a step S 7; if the charge and discharge depreciation cost is less than or equal to the single charge and discharge depreciation cost, the energy storage is not used for participating in the transaction at this time; s 7, adjusting a power predicted value. The calculation method and the auxiliary system thereof can recover the energy storage construction cost by utilizing market price fluctuation under the condition of not influencing service operation and accuracy of the power prediction system, thereby realizing the maximization of electricity selling income.
Description
Technical Field
The invention relates to the technical field of electric power spot transaction, in particular to a strategy calculation method and an auxiliary system thereof for electric power spot transaction suitable for new energy allocation and storage.
Background
With the global proposal of the 'double carbon' target, renewable energy sources mainly comprising wind and light energy sources are becoming an indispensable component in a novel energy system gradually, and the proportion of the renewable energy sources is increasing year by year. In 2022, the renewable energy source of China is newly increased by 1.52 hundred million kilowatts, which accounts for 76.2 percent of the electricity generator newly increased nationally. According to the state energy bureau 'new electric power system development blue book', the installation ratio of 2040 years new energy is estimated to be more than 50%, and the novel electric power system development blue book becomes a main body of an installation structure. The new energy generating capacity of 2060 is over 50 percent, which becomes the main body of the generating structure. However, due to the characteristics of the wind-light energy source including volatility, intermittence and randomness, the stable operation of the power grid is greatly challenged.
The energy storage can efficiently convert and store the input electric energy, and simultaneously can efficiently release the stored electric energy, flexibly and rapidly regulate and control the electric power, and the characteristics of quick response, large climbing rate and the like are utilized to track and plan the output, coordinate the power grid dispatching and the renewable energy prediction power, further ensure the safe and effective absorption of renewable energy for power generation of the power grid, so that a plurality of power grids are forced to allocate the energy storage for new energy grid connection, and the new energy investment cost is definitely increased.
Therefore, how to use the energy storage to the maximum extent for cost recovery, increasing the yield of the new energy station becomes the actual demand of a plurality of power generation enterprises, and patents in the aspect of energy storage transaction operation on the world at present mainly aim at the peak Gu Jiacha of independent energy storage at the user side to obtain the yield or perform energy consumption minimization optimization.
In view of this, the inventor of the present application devised a method for calculating a strategy for power spot transaction and an auxiliary system thereof, so as to overcome the above-mentioned technical problems.
Disclosure of Invention
The invention aims to overcome the defects that in the prior art, a plurality of grids are forced to allocate energy for new energy grid connection, and the investment cost of the new energy is increased, and provides a strategy calculation method and an auxiliary system thereof for electric power spot transaction applicable to new energy allocation and storage.
The invention solves the technical problems by the following technical proposal:
The invention provides a strategy calculation method for electric power spot transaction, which is suitable for new energy to participate in electric power spot transaction, and the strategy calculation method uses data of the market in the past or uses data of the market in the past and data of the market in real time at the same time, and is characterized in that the strategy calculation method comprises the following steps: s 1, data acquisition and analysis; s 2, calculating an alternative charging plan; s 3, calculating an alternative discharge plan; s 4, calculating alternative charge and discharge plan cost and benefits; s 5, cross pairing screening charge and discharge plans; s 6, calculating whether the current income is greater than the single charge and discharge depreciation cost, and if so, executing a step S 7; if the charge and discharge depreciation cost is less than or equal to the single charge and discharge depreciation cost, the energy storage is not used for participating in the transaction at this time; s 7, adjusting a power predicted value.
According to one embodiment of the present invention, the step S 2 includes: according to the new energy short-term Power prediction curve of the trade date and the energy storage capacity of the new energy at the beginning of the trade date, the period of continuous charging and full filling is traversed and calculated at any time point of the trade date by using the Power Charging method , and N alternative charging plans are obtained.
According to one embodiment of the present invention, the step S 3 includes: and traversing and calculating a period of time when the energy storage capacity can be exhausted by continuous discharging with Power Discharge of electric power at any time point of the transaction day according to a new energy short-term Power prediction curve of the transaction day, the upper limit of the whole field output and the dischargeable quantity based on the energy storage capacity, and obtaining M alternative discharging plans.
According to one embodiment of the present invention, the policy calculation method uses data of the market in the past, and the step S 1 includes the steps of: s 11, acquiring a new energy short-term power prediction curve of a site transaction day declared to the power grid on a declaration day; s 12, generating a day-ahead market electricity price predicted value of a trade day based on the disclosure information of the power-saving trade center on the reporting day; s 13, acquiring basic information and parameters of the current energy storage equipment on a reporting day, judging whether the energy storage is in a normal working state, and calculating the storable energy storage capacity of the energy storage at the beginning of a transaction day.
According to one embodiment of the present invention, the step S 4 includes: and multiplying the electric quantity of the N alternative charging plans and the electric quantity of the time points covered by the M alternative discharging plans with the predicted day-ahead electricity price, accumulating and summing, and calculating to obtain the charging cost of each of the N alternative charging plans and the discharging income of each of the M alternative discharging plans.
According to one embodiment of the present invention, the step S 5 includes: and carrying out cross pairing on the N alternative charging plans and the M alternative discharging plans, simultaneously calculating net benefits, sequencing according to the magnitude of the net benefits, and combining the charging and discharging pairing with the maximum net benefits as a benefit acquisition strategy for participating in spot market.
According to one embodiment of the present invention, the step S 7 includes: according to the determined time point corresponding to the charging plan and the charging power, a new energy short-term power predicted value is regulated down; and (3) up-regulating the short-term power predicted value of the new energy according to the time point and the discharge power corresponding to the determined discharge plan.
According to one embodiment of the present invention, the policy calculation method uses both data of the day-ahead market and data of the real-time market, and the step S 1 includes the steps of: s 11', acquiring a new energy short-term power prediction curve of a site transaction day declared to the power grid on a declaration day; s 12', generating a day-ahead market electricity price predicted value and a real-time market electricity price predicted value of a trade day based on the disclosure information of the power-saving trade center on the reporting day; s 13', acquiring basic information and parameters of the current energy storage equipment on a reporting day, judging whether the energy storage is in a normal working state, and calculating the storable energy storage capacity of the energy storage at the beginning of a transaction day.
According to one embodiment of the present invention, the step S 4 includes: and multiplying the electric quantity of the N alternative charging plans and the electric quantity of the time points covered by the M alternative discharging plans, the predicted day-ahead electricity price and the predicted value of the real-time market electricity price respectively, accumulating and summing, and calculating to obtain the charging cost of each of the two groups of N alternative charging plans and the discharging income of each of the two groups of M alternative discharging plans.
According to one embodiment of the present invention, the step S 5 includes: and respectively carrying out cross pairing on the two groups of N alternative charging plans and the two groups of M alternative discharging plans, simultaneously calculating net benefits, sequencing according to the magnitude of the net benefits, and combining the charging and discharging pairing with the maximum net benefits into a benefit acquisition strategy of the energy storage day-ahead market and the real-time market.
According to one embodiment of the present invention, the step S 7 includes: judging whether daily charging or daily discharging exists according to the determined charging plan, and if so, carrying out corresponding adjustment: in the charging period, a short-term power predicted value of the new energy is regulated downwards according to the corresponding time point and charging power; and in the discharge period, the short-term power predicted value of the new energy is up-regulated according to the corresponding time point and the discharge power.
According to one embodiment of the present invention, the policy calculation method further includes the steps of: s 8, strategy pushing: pushing the adjusted short-term power prediction curve to a cloud of a power prediction system through the Internet; the energy storage charging and discharging plan is pushed to a station safety three-zone server through the Internet and is transmitted to a safety one-zone energy storage EMS system through a firewall and an isolation device.
The invention also provides a strategy calculation auxiliary system for the electric power spot transaction, which is suitable for the new energy to be matched and stored for participating in the electric power spot transaction, and is characterized in that the auxiliary system uses the strategy calculation method for the electric power spot transaction, and the auxiliary system comprises the following components: the data acquisition module is used for data acquisition and analysis; the calculation module is used for calculating an alternative charging plan; calculating an alternative discharge plan; calculating alternative charge and discharge plan cost and benefits; the screening module is used for screening the charge-discharge plans in a cross pairing mode; the judging module is used for calculating whether the current income is greater than the single charge and discharge depreciation cost; and the adjusting module is used for adjusting the power predicted value.
The invention has the positive progress effects that:
The strategy calculation method and the auxiliary system thereof for the new energy matched storage to participate in the power spot transaction have the following advantages:
The strategy calculation method and the auxiliary system for the power spot transaction mainly aim at the fact that new energy is matched and stored to participate in the power spot transaction, and the transaction strategy (namely an energy storage charging and discharging plan) is automatically generated through the electricity price prediction and matching algorithm based on daily fluctuation of spot electricity price, so that the purposes of storing electricity when electricity price is low and discharging electricity when electricity price is high and recycling energy storage construction cost by utilizing market price fluctuation under the condition that service operation and accuracy of a power prediction system are not affected and the maximum electricity selling income is achieved.
Drawings
The above and other features, properties and advantages of the present invention will become more apparent from the following description of embodiments taken in conjunction with the accompanying drawings in which like reference characters designate like features throughout the drawings, and in which:
fig. 1 is a flow chart of a policy calculation method for power spot transaction according to the present invention.
Fig. 2 is a schematic diagram of a policy calculation assistance system for power spot transactions and an external system according to the present invention.
Detailed Description
In order to make the above objects, features and advantages of the present invention more comprehensible, embodiments accompanied with figures are described in detail below.
Embodiments of the present invention will now be described in detail with reference to the accompanying drawings. Reference will now be made in detail to the preferred embodiments of the present invention, examples of which are illustrated in the accompanying drawings. Wherever possible, the same reference numbers will be used throughout the drawings to refer to the same or like parts. Furthermore, although terms used in the present invention are selected from publicly known and commonly used terms, some terms mentioned in the present specification may be selected by the applicant at his or her discretion, the detailed meanings of which are described in relevant parts of the description herein. Furthermore, it is required that the present invention is understood, not simply by the actual terms used but by the meaning of each term lying within.
At present, the spot market in multiple places in China is in a centralized mode, double-deviation settlement is adopted, and the spot market is divided into a day-ahead market and a real-time market, so that energy storage trading strategies can be divided into two types, namely a charging and discharging strategy for obtaining benefits only in the day-ahead market and a charging and discharging strategy for obtaining benefits between the day-ahead market and the real-time market. Both strategies provided by the scheme adopt energy storage using frequency of one charge and one discharge, and deep charge and deep discharge are adopted. For accurate realization charge at low price, high price discharge sell, do not influence power prediction system operation and the purpose of rate of accuracy simultaneously, the following data need be used in this scheme implementation process: short-term power forecast values, energy storage working condition states and short-term electricity price forecast values.
As shown in fig. 1, the present invention provides a policy calculation method for electric power spot transaction, which is applicable to new energy allocation and storage to participate in electric power spot transaction, wherein the policy calculation method uses data of a day-ahead market or uses both data of the day-ahead market and data of a real-time market, and the policy calculation method comprises the following steps:
Step S 1, data acquisition and analysis.
Step S 2, calculating an alternative charging plan.
Step S 3, calculating an alternative discharge plan.
Step S 4, calculating alternative charge and discharge plan cost and benefit.
And step S 5, cross pairing screening charge and discharge plans.
Step S 6, calculating whether the current income is greater than the single charge-discharge depreciation cost, if so, executing step S 7; if the charge and discharge depreciation cost is less than or equal to the single charge and discharge depreciation cost, the energy storage is not used for participating in the transaction.
And step S 7, adjusting the power predicted value.
As shown in fig. 1, the method for calculating the strategy of the power spot transaction of the present invention further optionally includes:
Step S 8, strategy pushing.
The strategy calculation method of the power spot transaction comprises two preferred embodiments:
Example 1
Embodiment 1 is a policy calculation method for obtaining benefits in the day-ahead market by using data of the day-ahead market, which mainly comprises the steps of data obtaining and analyzing, algorithm implementation calculating and policy pushing, and specifically comprises the following steps:
step S 1, data acquisition and analysis, the step S 1 may preferably include the following steps:
And step S 11, acquiring a new energy short-term power prediction curve of the site trade day declared to the power grid on the declaration day.
And S 12, generating a predicted value of the day-ahead market electricity price of the trade day based on the disclosure information of the power-saving trade center on the reporting day.
And step S 13, acquiring basic information and parameters of the current energy storage equipment on the reporting day, judging whether the energy storage is in a normal working state, and calculating the storable energy storage capacity of the energy storage at the beginning of the transaction day.
Further, step S 11 is preferably:
And D-1 day is a reporting day, and D is a trading day, wherein a station D day new energy short-term Power prediction curve Power fct (15 minutes is a point, 96 points prediction value) reported to the Power grid is obtained from the Power prediction system.
Step S 12 is preferably:
Day D-1 is based on the disclosure information of the power saving trading center, and a predicted value Price Day before fct (15 minutes, 96 points predicted value) of the market Price before day D is generated through a specific algorithm.
Step S 13 is preferably:
And acquiring basic information and parameters of the current energy storage equipment, such as charge and discharge Power batmax, SOC, SOH and other information, from the energy storage EMS system on day D-1. And judging whether the energy storage is in a normal working state, and calculating the storable energy storage capacity BatCapAva of the initial energy storage on the D day.
The algorithm performs the steps of:
Step S 2, calculating an alternative charging plan.
Step S 3, calculating an alternative discharge plan.
Step S 4, calculating alternative charge and discharge plan cost and benefit.
And step S 5, cross pairing screening charge and discharge plans.
Step S 6, calculating whether the current income is greater than the single charge-discharge depreciation cost, if so, executing step S 7; if the charge and discharge depreciation cost is less than or equal to the single charge and discharge depreciation cost, the energy storage is not used for participating in the transaction.
And step S 7, adjusting the power predicted value.
Wherein, the step S 2 may preferably include:
According to the new energy short-term Power prediction curve of the trade date and the energy storage capacity of the new energy at the beginning of the trade date, the period of continuous charging and full filling is traversed and calculated at any time point of the trade date by using the Power Charging method , and N alternative charging plans are obtained.
Further, the step S 2 preferably includes:
According to a D day 96 point new energy short-term Power prediction curve Power fct and a D day initial energy storage capacity BatCapAva, traversing and calculating a D day arbitrary time point to enable Power Charging method (when Power fct is smaller than or equal to Power batmax, power Charging method is equal to Power fct, when Power fct is larger than Power batmax, power Charging method is equal to Power batmax) to continuously charge for a fillable period, and obtaining N alternative charging plans. In particular, when the unit is scheduled for maintenance, or when the new energy power generation is expected to be too low, the subsequent calculation is stopped, that is, the alternative charging schedule needs to be at least 1 or more.
The step S 3 may preferably include:
And traversing and calculating a period of time when the energy storage capacity can be exhausted by continuous discharging with Power Discharge of electric power at any time point of the transaction day according to a new energy short-term Power prediction curve of the transaction day, the upper limit of the whole field output and the dischargeable quantity based on the energy storage capacity, and obtaining M alternative discharging plans.
Further, the step S 3 preferably includes:
According to a D day 96 point new energy short-term Power prediction curve Power fct, an integral field output upper limit Power satmax and the dischargeable amount based on the D day starting energy storage storable capacity BatCapAva, traversing and calculating the D day arbitrary time point to obtain M alternative discharge plans by continuously discharging the period of the energy storage electric quantity when Power satmax-Powerfct is smaller than or equal to Power batmax, power Discharge of electric power is equal to Power satmax-Powerfct, and when Power satmax-Powerfct is larger than Power batmax, power Discharge of electric power is equal to Power batmax.
The step S 4 may preferably include:
and multiplying the electric quantity of the N alternative charging plans and the electric quantity of the time points covered by the M alternative discharging plans with the predicted day-ahead electricity price, accumulating and summing, and calculating to obtain the charging cost of each of the N alternative charging plans and the discharging income of each of the M alternative discharging plans.
Further, the step S 4 preferably includes:
the electric quantity of the time points covered by the N alternative charging plans T Charging method and the M alternative discharging plans T Discharge of electric power is multiplied by the predicted day-ahead electricity Price Day before fct, accumulated and summed, and the charging cost C Charging method of each of the N alternative charging plans and the discharging income R Discharge of electric power of each of the M alternative discharging plans are calculated.
The step S 5 may preferably include:
And carrying out cross pairing on the N alternative charging plans and the M alternative discharging plans, simultaneously calculating net benefits, sequencing according to the magnitude of the net benefits, and combining the charging and discharging pairing with the maximum net benefits as a benefit acquisition strategy for participating in spot market.
Further, the step S 5 preferably includes:
The N alternative charging plans and the M alternative discharging plans are subjected to cross pairing (pairing is required to meet the actual scene requirement of charge-before-discharge, the charging plans and the discharging plans cannot overlap in a period), net benefits (net benefits = benefits of the discharging plans-cost of the charging plans) are calculated, sorting is carried out according to the magnitude of the net benefits, and the charging-discharging pairing combination with the largest net benefits is the trending strategy of the energy storage participating in the spot day-ahead market.
The purpose of said step S 6 is: and calculating whether the benefit can cover the energy storage depreciation cost, and if the benefit is larger than the single charge and discharge depreciation cost, continuing to execute the subsequent algorithm.
The step S 7 may preferably include:
According to the determined time point corresponding to the charging plan and the charging power, a new energy short-term power predicted value is regulated down; and (3) up-regulating the short-term power predicted value of the new energy according to the time point and the discharge power corresponding to the determined discharge plan.
The step S 7 can prevent the influence of the energy storage charging and discharging on the short-term power prediction accuracy.
The step of policy pushing comprises the following steps:
Step S 8, strategy pushing: pushing the adjusted short-term power prediction curve to a cloud of a power prediction system through the Internet; the energy storage charging and discharging plan is pushed to a station safety three-zone server through the Internet and is transmitted to a safety one-zone energy storage EMS system through a firewall and an isolation device.
Example 2
Embodiment 2 is a policy calculation method for obtaining benefits in the day-ahead real-time market by using data of the day-ahead market and data of the real-time market simultaneously, which mainly comprises the steps of data obtaining and analyzing, algorithm implementation calculating and policy pushing, and specifically comprises the following steps:
step S 1, data acquisition and analysis, the step S 1 may preferably include the following steps:
S 11', acquiring a new energy short-term power prediction curve of a site transaction day declared to the power grid on a declaration day;
S 12', generating a day-ahead market electricity price predicted value and a real-time market electricity price predicted value of a trade day based on the disclosure information of the power-saving trade center on the reporting day;
And step S 13', acquiring basic information and parameters of the current energy storage equipment on the reporting day, judging whether the energy storage is in a normal working state, and calculating the storable energy storage capacity of the energy storage at the beginning of the transaction day.
Further, step S 11' is preferably:
And D-1 day is a reporting day, and D is a trading day, wherein a station D day new energy short-term Power prediction curve Power fct (15 minutes is a point, 96 points prediction value) reported to the Power grid is obtained from the Power prediction system.
Step S 12' is preferably:
The D-1 day is based on the disclosure information of the power saving trading center, and the predicted value Price Day before fct of the market electricity Price before the D day and the predicted value Price Real time fct of the real-time market electricity Price (15 minutes, 96 points of predicted values) are generated through a specific algorithm.
Step S 13' is preferably:
And acquiring basic information and parameters of the current energy storage equipment, such as charge and discharge Power batmax, SOC, SOH and other information, from the energy storage EMS system on day D-1. And judging whether the energy storage is in a normal working state, and calculating the storable energy storage capacity BatCapAva of the initial energy storage on the D day.
The algorithm performs the steps of:
Step S 2, calculating an alternative charging plan.
Step S 3, calculating an alternative discharge plan.
Step S 4, calculating alternative charge and discharge plan cost and benefit.
And step S 5, cross pairing screening charge and discharge plans.
Step S 6, calculating whether the current income is greater than the single charge-discharge depreciation cost, if so, executing step S 7; if the charge and discharge depreciation cost is less than or equal to the single charge and discharge depreciation cost, the energy storage is not used for participating in the transaction.
And step S 7, adjusting the power predicted value.
Wherein, the step S 2 may preferably include:
According to the new energy short-term Power prediction curve of the trade date and the energy storage capacity of the new energy at the beginning of the trade date, the period of continuous charging and full filling is traversed and calculated at any time point of the trade date by using the Power Charging method , and N alternative charging plans are obtained.
Further, the step S 2 preferably includes:
According to a D day 96 point new energy short-term Power prediction curve Power fct and a D day initial energy storage capacity BatCapAva, traversing and calculating a D day arbitrary time point to enable Power Charging method (when Power fct is smaller than or equal to Power batmax, power Charging method is equal to Power fct, when Power fct is larger than Power batmax, power Charging method is equal to Power batmax) to continuously charge for a fillable period, and obtaining N alternative charging plans. In particular, when the unit is scheduled for maintenance, or when the new energy power generation is expected to be too low, the subsequent calculation is stopped, that is, the alternative charging schedule needs to be at least 1 or more.
The step S 3 may preferably include:
And traversing and calculating a period of time when the energy storage capacity can be exhausted by continuous discharging with Power Discharge of electric power at any time point of the transaction day according to a new energy short-term Power prediction curve of the transaction day, the upper limit of the whole field output and the dischargeable quantity based on the energy storage capacity, and obtaining M alternative discharging plans.
Further, the step S 3 preferably includes:
According to a D day 96 point new energy short-term Power prediction curve Power fct, an integral field output upper limit Power satmax and the dischargeable amount based on the D day starting energy storage storable capacity BatCapAva, traversing and calculating the D day arbitrary time point to obtain M alternative discharge plans by continuously discharging the period of the energy storage electric quantity when Power satmax-Powerfct is smaller than or equal to Power batmax, power Discharge of electric power is equal to Power satmax-Powerfct, and when Power satmax-Powerfct is larger than Power batmax, power Discharge of electric power is equal to Power batmax.
The step S 4 may preferably include:
and multiplying the electric quantity of the N alternative charging plans and the electric quantity of the time points covered by the M alternative discharging plans, the predicted day-ahead electricity price and the predicted value of the real-time market electricity price respectively, accumulating and summing, and calculating to obtain the charging cost of each of the two groups of N alternative charging plans and the discharging income of each of the two groups of M alternative discharging plans.
Further, the step S 4 preferably includes:
The electric quantity of the time points covered by the N alternative charging plans T Charging method and the M alternative discharging plans T Discharge of electric power are multiplied by the predicted day-ahead electricity Price Day before fct and the real-time market electricity Price predicted value Price Real time fct respectively, and the multiplied sum is accumulated, so that the charging costs C Day-ahead charging and C Real-time charging of the 2 groups (N groups) of alternative charging plans respectively and the discharging benefits R Day-ahead discharge and R Real-time discharge of the 2 groups (M groups) of alternative discharging plans respectively are calculated.
The step S 5 may preferably include:
And respectively carrying out cross pairing on the two groups of N alternative charging plans and the two groups of M alternative discharging plans, simultaneously calculating net benefits, sequencing according to the magnitude of the net benefits, and combining the charging and discharging pairing with the maximum net benefits into a benefit acquisition strategy of the energy storage day-ahead market and the real-time market.
Further, the step S 5 preferably includes:
The method comprises the steps of respectively carrying out cross pairing on 2 groups (N of each group) of alternative charging plans C Day-ahead charging and C Real-time charging and 2 groups (M of each group) of alternative discharging plans R Day-ahead discharge and R Real-time discharge (the pairing is required to meet the actual scene requirement of charge before discharge, the charging plans and the discharging plans cannot overlap in time period), simultaneously calculating net benefit (net benefit = benefit of the discharging plans-cost of the charging plans), and sequencing according to the size of the net benefit, wherein the charge and discharge pairing combination with the largest net benefit is an energy storage day-real-time market arbitrage strategy, and the energy storage repetition plan can be four cases of day-ahead charge day-ahead discharge, day-ahead charge real-time discharge, real-time charge day-ahead discharge and real-time charge real-time discharge.
The purpose of said step S 6 is: and calculating whether the benefit can cover the energy storage depreciation cost, and if the benefit is larger than the single charge and discharge depreciation cost, continuing to execute the subsequent algorithm.
The step S 7 may preferably include:
Judging whether daily charging or daily discharging exists according to the determined charging plan, and if so, carrying out corresponding adjustment: in the charging period, a short-term power predicted value of the new energy is regulated downwards according to the corresponding time point and charging power; and in the discharge period, the short-term power predicted value of the new energy is up-regulated according to the corresponding time point and the discharge power.
The step S 7 can prevent the influence of the energy storage charging and discharging on the short-term power prediction accuracy.
The step of policy pushing comprises the following steps:
Step S 8, strategy pushing: pushing the adjusted short-term power prediction curve to a cloud of a power prediction system through the Internet; the energy storage charging and discharging plan is pushed to a station safety three-zone server through the Internet and is transmitted to a safety one-zone energy storage EMS system through a firewall and an isolation device.
As described above, the strategy calculation method for electric power spot transaction mainly aims at the fact that new energy is matched and stored to participate in electric power spot transaction, and based on daily fluctuation of spot electricity price, a transaction strategy (namely an energy storage charge-discharge plan) is automatically generated through electricity price prediction and matching algorithm, so that electricity is stored when electricity price is low and discharged when electricity price is high in enterprise under the condition that service operation and accuracy of a power prediction system are not affected, and the purpose of maximizing electricity selling income is achieved by recovering energy storage construction cost through market price fluctuation.
The invention also provides a strategy calculation auxiliary system for the electric power spot transaction, which is suitable for the new energy source to participate in the electric power spot transaction, and the auxiliary system uses the strategy calculation method for the electric power spot transaction, and comprises the following steps:
and the data acquisition module is used for data acquisition and analysis.
The calculation module is used for calculating an alternative charging plan; calculating an alternative discharge plan; and calculating the cost and benefit of the alternative charge and discharge plans.
And the screening module is used for screening the charge and discharge plans in a cross pairing mode.
And the judging module is used for calculating whether the current income is greater than the single charge and discharge depreciation cost.
And the adjusting module is used for adjusting the power predicted value.
As shown in fig. 2, the relationship between the policy calculation auxiliary system and the external system for the power spot transaction is shown. The strategy calculation auxiliary system for the electric power spot transaction collects energy storage working condition information from an energy storage EMS system of a new energy station, and collects power prediction information from a wind/light power prediction system (cloud) so as to execute the steps of data acquisition, analysis and algorithm implementation calculation of the strategy calculation method for the electric power spot transaction.
The strategy calculation auxiliary system for the electric power spot transaction pushes an energy storage work plan to an energy storage EMS system of a new energy station; the strategy calculation auxiliary system for the electric power spot transaction pushes the modified power prediction value to the wind/light power prediction system (cloud), and the wind/light power prediction system (cloud) is used for lowering the modified power prediction value to the wind/light power prediction system (station end) of the new energy station.
As described above, the strategy calculation auxiliary system for electric power spot transaction utilizes the characteristics of the electric power spot transaction, such as the cooperation of new energy and storage, to participate in the electric power spot transaction, and automatically generates the transaction strategy (i.e. the energy storage charging and discharging plan) based on the daily fluctuation of spot electricity price through the electricity price prediction and matching algorithm, so as to achieve the purposes of storing electricity at low electricity price and discharging at high electricity price and recycling energy storage construction cost by utilizing market price fluctuation without affecting the service operation and accuracy of the power prediction system.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that these are by way of example only, and the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the principles and spirit of the invention, but such changes and modifications fall within the scope of the invention.
Claims (13)
1. The utility model provides a strategy calculation method of electric power spot transaction, is applicable to the new energy and joins in marriage and store and participate in electric power spot transaction, the data of market before the day of the strategy calculation method use, perhaps use data and real-time market before the day simultaneously of market, its characterized in that, the strategy calculation method includes the following steps:
S 1, data acquisition and analysis;
S 2, calculating an alternative charging plan;
S 3, calculating an alternative discharge plan;
s 4, calculating alternative charge and discharge plan cost and benefits;
s 5, cross pairing screening charge and discharge plans;
S 6, calculating whether the current income is greater than the single charge and discharge depreciation cost, and if so, executing a step S 7; if the charge and discharge depreciation cost is less than or equal to the single charge and discharge depreciation cost, the energy storage is not used for participating in the transaction at this time;
S 7, adjusting a power predicted value.
2. The method of policy calculation for power spot transactions according to claim 1, wherein said step S 2 includes:
According to the new energy short-term Power prediction curve of the trade date and the energy storage capacity of the new energy at the beginning of the trade date, the period of continuous charging and full filling is traversed and calculated at any time point of the trade date by using the Power Charging method , and N alternative charging plans are obtained.
3. The method of policy calculation for power spot transactions according to claim 2, wherein said step S 3 includes:
And traversing and calculating a period of time when the energy storage capacity can be exhausted by continuous discharging with Power Discharge of electric power at any time point of the transaction day according to a new energy short-term Power prediction curve of the transaction day, the upper limit of the whole field output and the dischargeable quantity based on the energy storage capacity, and obtaining M alternative discharging plans.
4. The method for calculating a strategy for a power spot transaction according to claim 3, wherein said strategy uses data of a market in the past, said step S 1 comprising the steps of:
S 11, acquiring a new energy short-term power prediction curve of a site transaction day declared to the power grid on a declaration day;
S 12, generating a day-ahead market electricity price predicted value of a trade day based on the disclosure information of the power-saving trade center on the reporting day;
S 13, acquiring basic information and parameters of the current energy storage equipment on a reporting day, judging whether the energy storage is in a normal working state, and calculating the storable energy storage capacity of the energy storage at the beginning of a transaction day.
5. The method for calculating a policy for power spot transactions according to claim 4, wherein said step S 4 includes:
and multiplying the electric quantity of the N alternative charging plans and the electric quantity of the time points covered by the M alternative discharging plans with the predicted day-ahead electricity price, accumulating and summing, and calculating to obtain the charging cost of each of the N alternative charging plans and the discharging income of each of the M alternative discharging plans.
6. The method for calculating a policy for power spot transactions according to claim 5, wherein said step S 5 includes:
And carrying out cross pairing on the N alternative charging plans and the M alternative discharging plans, simultaneously calculating net benefits, sequencing according to the magnitude of the net benefits, and combining the charging and discharging pairing with the maximum net benefits as a benefit acquisition strategy for participating in spot market.
7. The method for calculating a policy for power spot transactions according to claim 6, wherein said step S 7 includes:
According to the determined time point corresponding to the charging plan and the charging power, a new energy short-term power predicted value is regulated down; and (3) up-regulating the short-term power predicted value of the new energy according to the time point and the discharge power corresponding to the determined discharge plan.
8. The method for calculating a strategy for a power spot transaction according to claim 3, wherein the method for calculating a strategy uses both data of a day-ahead market and data of a real-time market, and the step S 1 includes the steps of:
s 11', acquiring a new energy short-term power prediction curve of a site transaction day declared to the power grid on a declaration day;
s 12', generating a day-ahead market electricity price predicted value and a real-time market electricity price predicted value of a trade day based on the disclosure information of the power-saving trade center on the reporting day;
S 13', acquiring basic information and parameters of the current energy storage equipment on a reporting day, judging whether the energy storage is in a normal working state, and calculating the storable energy storage capacity of the energy storage at the beginning of a transaction day.
9. The method for calculating the strategy of the power spot transaction according to claim 8, wherein said step S 4 includes:
and multiplying the electric quantity of the N alternative charging plans and the electric quantity of the time points covered by the M alternative discharging plans, the predicted day-ahead electricity price and the predicted value of the real-time market electricity price respectively, accumulating and summing, and calculating to obtain the charging cost of each of the two groups of N alternative charging plans and the discharging income of each of the two groups of M alternative discharging plans.
10. The method of policy calculation for power spot transactions according to claim 9, wherein said step S 5 includes:
And respectively carrying out cross pairing on the two groups of N alternative charging plans and the two groups of M alternative discharging plans, simultaneously calculating net benefits, sequencing according to the magnitude of the net benefits, and combining the charging and discharging pairing with the maximum net benefits into a benefit acquisition strategy of the energy storage day-ahead market and the real-time market.
11. The method of policy calculation for power spot transactions according to claim 10, wherein said step S 7 includes:
Judging whether daily charging or daily discharging exists according to the determined charging plan, and if so, carrying out corresponding adjustment: in the charging period, a short-term power predicted value of the new energy is regulated downwards according to the corresponding time point and charging power; and in the discharge period, the short-term power predicted value of the new energy is up-regulated according to the corresponding time point and the discharge power.
12. The method for policy calculation for power spot transactions according to claim 1, wherein said method for policy calculation further comprises the steps of:
S 8, strategy pushing: pushing the adjusted short-term power prediction curve to a cloud of a power prediction system through the Internet; the energy storage charging and discharging plan is pushed to a station safety three-zone server through the Internet and is transmitted to a safety one-zone energy storage EMS system through a firewall and an isolation device.
13. A policy calculation auxiliary system for a power spot transaction, adapted for a new energy source to participate in the power spot transaction, wherein the auxiliary system uses the policy calculation method for the power spot transaction according to any one of claims 1 to 12, the auxiliary system comprising:
The data acquisition module is used for data acquisition and analysis;
the calculation module is used for calculating an alternative charging plan; calculating an alternative discharge plan; calculating alternative charge and discharge plan cost and benefits;
the screening module is used for screening the charge-discharge plans in a cross pairing mode;
the judging module is used for calculating whether the current income is greater than the single charge and discharge depreciation cost;
And the adjusting module is used for adjusting the power predicted value.
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