Energy storage capacity configuration and regulation capability evaluation method considering new energy consumption and system peak regulation

Abstract

The invention provides an energy storage capacity configuration and regulation capability evaluation method considering new energy consumption and system peak regulation, and the method comprises the steps: obtaining a new energy output coincidence rate of a corresponding time period through historical operation data analysis based on a system power balance constraint; according to the actual operation experience, the output value of the new energy at the corresponding moment is calculated under the condition of considering the 95% confidence interval; then, analyzing that stored energy is charged in a low ebb load period and discharged in a high ebb load period, and further considering new energy power abandoning rate constraint and solving to obtain energy storage configuration capacity on the basis of ensuring that the stored energy has capacity in the low ebb load period of the second day to participate in peak regulation when the system electric power and electric quantity balance and the stored energy has capacity for charging in the low ebb load period of the second day; and finally, defining a new energy electric quantity consumption margin index and an energy storage participation peak regulation and new energy consumption margin index which are used for analyzing the new energy consumption margin of the system under the energy storage capacity configuration and evaluating the consumption capability of the system on the new energy in the next day.

Description

Technical Field

[0001] The present invention belongs to the field of energy storage technology, and specifically provides a method for evaluating energy storage capacity configuration and regulation capability taking into account new energy consumption and system peak regulation. Background Art

[0002] Large-capacity energy storage technology has become one of the key technologies used by many countries today to advance their carbon neutrality goals, and has been widely used in power grid transmission and distribution, ancillary services, renewable energy grid connection, distributed and microgrids, and user-side applications. The main functions of energy storage technology are grid peak regulation, loading, starting and relieving transmission congestion, delaying the upgrade of transmission and distribution networks; in terms of renewable energy grid connection, energy storage is mainly used to smooth renewable energy output, absorb excess power to reduce "wind and solar abandonment", and instant grid connection.

[0003] Energy storage capacity configuration analysis considering new energy consumption refers to the use of reasonable methods to determine the optimal energy configuration and operation strategy for new energy power generation and consumption, thereby improving the efficiency of new energy consumption, reducing energy waste, and optimizing the reliability and stability of power grid operation. Summary of the invention

[0004] In response to the above problems, the present invention provides a method for evaluating energy storage capacity configuration and regulation capacity that takes into account new energy consumption and system peak load regulation. This method is of great significance for the energy storage capacity configuration and new energy consumption analysis of the power system. At the same time, it can quantitatively analyze the new energy consumption capacity of the day and the new energy consumption capacity of the next day when the system is configured with energy storage.

[0005] In order to realize the above technical features, the purpose of the present invention is achieved as follows: considering the energy storage capacity configuration and regulation capacity evaluation method of new energy consumption and system peak load regulation, based on the system power balance constraint, the new energy output simultaneity rate of the corresponding period is obtained through historical operation data analysis, and the output value of the new energy at the corresponding time is calculated based on the actual operation experience and the 95% confidence interval is considered; Then, the energy storage is analyzed to charge during the off-peak load period and discharge during the peak load period, thereby ensuring that the system power is balanced and the energy storage has the capacity to charge and participate in peak load regulation during the off-peak load period of the next day. The energy storage configuration capacity is further solved by considering the constraint of the new energy abandonment rate. Finally, the new energy power consumption margin index and the energy storage participation in peak regulation and new energy consumption margin index are defined to analyze the system's new energy consumption margin under the energy storage capacity configuration and evaluate the system's ability to absorb new energy on the next day.

[0006] The system power balance constraint is specifically: (1) Where: Indicates the output power of the system thermal power unit; Indicates the output power of the system hydropower unit, Indicates the system's new energy output power; Indicates the system AC tie line power. When the value is positive, it indicates input to the system, and when it is negative, it indicates output from the system. Indicates the system DC power, Indicates system load; Indicates the system energy storage power. When the value is positive, it means the energy storage is in a charging state, and when it is negative, it means the energy storage is in a discharging state. Indicates the system abandoned power. When the output of renewable energy is large and the system cannot meet the power balance, the value is positive. All variables in formula (1) are time The time interval is 15 minutes, and there are 96 data points in a day. , .

[0007] The output of new energy is usually the sum of wind power output and photovoltaic output, as shown in the following formula: (2) (3) (4) In the formula, Indicates the output value of wind turbine; Indicates the photovoltaic power generation output value; Indicates the output synchronization rate of the system wind turbines at the corresponding moment; Indicates the output synchronization rate of the system's photovoltaic power generation at the corresponding moment; Indicates the installed capacity of wind turbines in the system at the corresponding moment; Indicates the photovoltaic power generation installed capacity of the system at the corresponding moment. The above are all time function.

[0008] The main factors affecting the peak load regulation and new energy consumption under the system light load mode are the new energy output value, including: (1) Select the historical operation data of the typical load day corresponding to the system analysis, analyze the output simultaneity coefficients of wind turbines and photovoltaics, and arrange the output simultaneity coefficients at the corresponding time from large to small. The resulting array is shown in the following formula: (5) (6) In the formula, Represents the wind turbine output synchronization rate array after the historical data is rearranged; It represents the photovoltaic output synchronization rate array after the historical data is rearranged. Indicates the number of wind power output synchronization rate arrays i data, Indicates the number of PV output simultaneity rate arrays. j data, Indicates the number of data in the wind power output coefficient array, Indicates the number of data in the photovoltaic output coefficient array; (2) Take the 95% confidence interval and calculate the output coefficient of the wind turbine and photovoltaic at the corresponding time, as shown in the following formula: (7) (8) In the formula, express The output coefficient corresponding to the 95% confidence interval in the array is considered, express The output coefficient corresponding to the 95% confidence interval considered in the array.

[0009] For daily peak regulation, it is necessary to ensure that the energy storage is charged during the off-peak load period and discharged during the peak load period, thereby ensuring the power balance of the system and ensuring that the energy storage has the capacity to charge and participate in peak regulation during the off-peak load period of the next day: (9) Formula (9) represents the power surplus or deficit of the system without considering energy storage and power abandonment. In formula (9), the thermal power unit takes into account its deep regulation capability, that is, , Indicates the installed capacity of thermal power plants.

[0010] The constraints to meet the system's full-day power balance are as follows: (10) In the formula, Indicates the system surplus or deficit power. Indicates a time interval; When considering energy storage to participate in peak load regulation, the constraints shown in the following formula must be met, that is, the maximum value of energy storage discharge power must be greater than or equal to the maximum power gap value during the system peak load period; (11) In the formula, Indicates the maximum value of energy storage discharge power, Indicates the maximum power gap value during the system peak load period.

[0011] The energy storage capacity configuration must meet the power constraint conditions as shown below: (12) In the formula, Indicates the energy storage charging or discharging power, Indicates the conversion efficiency during the energy storage charging and discharging process.

[0012] After considering the participation of energy storage in regulation, the rate of abandoned electricity from new energy sources is further considered, as shown in the following formula: (13) (14) (15) In the formula, Indicates the amount of power wasted. Indicates the system power curtailment constraint ratio.

[0013] Defining the new energy power consumption margin index , as shown below: (16) In the formula, Indicates the maximum amount of abandoned electricity from new energy sources and the margin index of new energy power consumption The larger the value, the smaller the system's margin for absorbing new energy under the energy storage capacity configuration. When the value is greater than 1, it indicates that the system cannot meet the new energy absorption requirements at this time.

[0014] Define energy storage participation in peak load regulation and new energy consumption margin indicators , as shown in the following formula (17): (17) This value is used to evaluate the system's ability to absorb new energy on the next day. The smaller the value, the more the energy storage charging power can be released to the greatest extent on that day, providing capacity space for the absorption of new energy on the next day and having better peak-shaving capability.

[0015] The present invention has the following beneficial effects: 1. The energy storage capacity configuration analysis considering the new energy consumption in the present invention refers to the use of reasonable methods to determine the best energy configuration and operation strategy for the new energy power generation and consumption, thereby improving the new energy consumption efficiency, reducing energy waste, and optimizing the reliability and stability of the power grid operation; the method proposed in the present invention is of great significance for the energy storage capacity configuration and new energy consumption analysis of the power system, and can also quantify the new energy consumption capacity of the day and the new energy consumption capacity of the next day under the condition of energy storage configuration of the system. DETAILED DESCRIPTION

[0016] Embodiment 1: The power balance constraint of this patent system is obtained by analyzing historical operation data to obtain the simultaneous output rate of new energy in the corresponding period, and the output value of new energy at the corresponding time is calculated based on actual operation experience and taking into account the 95% confidence interval. Then, the energy storage is analyzed to charge during the valley load period and discharge during the peak load period, so as to ensure that the energy storage has the capacity to charge and participate in peak load regulation on the basis of the system power balance and the valley load period of the next day. The energy storage configuration capacity is further solved by considering the constraint of the new energy abandonment rate. Finally, the new energy power consumption margin index and the energy storage participation in peak load regulation and new energy consumption margin index are defined to analyze the system's new energy consumption margin under the energy storage capacity configuration and evaluate the system's ability to absorb new energy on the second day.

[0017] 1. The system power balance constraint is as follows: (1) Where: Indicates the output power of the system thermal power unit; Indicates the output power of the system hydropower unit, Indicates the system's new energy output power; Indicates the system AC tie line power. When the value is positive, it indicates input to the system, and when it is negative, it indicates output from the system. Indicates the system DC power, Indicates system load; Indicates the system energy storage power. When the value is positive, it means the energy storage is in a charging state, and when it is negative, it means the energy storage is in a discharging state. Indicates the system abandoned power. When the output of renewable energy is large and the system cannot meet the power balance, the value is positive. All variables in formula (1) are time The time interval is 15 minutes, so there are 96 data points in a day. , .

[0018] 2. With the development of new energy, the randomness of the output of new energy units will bring challenges to the peak load regulation of the power system and the consumption of new energy. The output of new energy is usually the sum of wind power output and photovoltaic output, as shown in the following formula: (2) (3) (4) In the formula, Indicates the output value of wind turbine; Indicates the photovoltaic power generation output value; Indicates the output synchronization rate of the system wind turbines at the corresponding moment; Indicates the output synchronization rate of the system's photovoltaic power generation at the corresponding moment; Indicates the installed capacity of wind turbines in the system at the corresponding moment; Indicates the photovoltaic power generation installed capacity of the system at the corresponding moment. The above are all time function.

[0019] 3. According to historical operation data, under normal circumstances, there are typical values ​​for the output of hydropower units, AC interconnection line power and DC power, and thermal power units can be considered for deep regulation. Therefore, the main factor affecting the peak load regulation and new energy consumption under the system's small load mode is the new energy output value, including: (1) Select the historical operation data of the typical load day corresponding to the system analysis, analyze the output simultaneity coefficients of wind turbines and photovoltaics, and arrange the output simultaneity coefficients at the corresponding time from large to small. The resulting array is shown in the following formula: (5) (6) In the formula, Represents the wind turbine output synchronization rate array after the historical data is rearranged; It represents the photovoltaic output synchronization rate array after the historical data is rearranged. Indicates the number of wind power output synchronization rate arrays i data, Indicates the number of PV output simultaneity rate arrays. j data, Indicates the number of data in the wind power output coefficient array, Indicates the number of data in the photovoltaic output coefficient array; (2) Take the 95% confidence interval and calculate the output coefficient of the wind turbine and photovoltaic at the corresponding time, as shown in the following formula: (7) (8) In the formula, express The output coefficient corresponding to the 95% confidence interval in the array is considered, express The output coefficient corresponding to the 95% confidence interval considered in the array.

[0020] 4. In the future, the development of new energy, new energy consumption and peak load regulation are one of the main challenges facing the power system. Energy storage is one of the main means to alleviate the consumption and peak load regulation of new energy in the power system. For daily regulation and peak load regulation, it is necessary to ensure that energy storage is charged during the off-peak load period and discharged during the peak load period, thereby ensuring the balance of power and electricity in the system, and ensuring that energy storage has the capacity to charge and participate in peak load regulation during the off-peak load period of the next day: (9) Formula (9) represents the power surplus or deficit of the system without considering energy storage and power abandonment. In formula (9), the thermal power unit takes into account its deep regulation capability, that is, , Represents the installed capacity of thermal power plants. Currently, the deep regulation capacity of existing thermal power units is approximately 33%.

[0021] 5. The constraints for satisfying the system's full-day power balance are as follows: (10) In the formula, Indicates the system surplus or deficit power. Indicates a time interval; 6. When considering energy storage to participate in peak load regulation, the constraints shown in the following formula must be met, that is, the maximum value of energy storage discharge power must be greater than or equal to the maximum power gap value during the system peak load period; (11) In the formula, Indicates the maximum value of energy storage discharge power, Indicates the maximum power gap value during the system peak load period.

[0022] 7. The energy storage capacity configuration must meet the power constraint conditions as shown below: (12) In the formula, Indicates the energy storage charging or discharging power, Indicates the conversion efficiency during the energy storage charging and discharging process.

[0023] 8. After considering the participation of energy storage in regulation, the rate of abandoned electricity of new energy is further considered, as shown in the following formula: (13) (14) (15) In the formula, Indicates the amount of power wasted. Indicates the system power curtailment constraint ratio.

[0024] 9. Define the new energy power consumption margin index , as shown below: (16) In the formula, Indicates the maximum amount of abandoned electricity from new energy sources and the margin index of new energy power consumption The larger the value, the smaller the system's margin for absorbing new energy under the energy storage capacity configuration. When the value is greater than 1, it indicates that the system cannot meet the new energy absorption requirements at this time.

[0025] 10. Define energy storage participation in peak load regulation and new energy consumption margin indicators , as shown in the following formula (17): (17) This value is used to evaluate the system's ability to absorb new energy on the next day. The smaller the value, the more the energy storage charging power can be released to the greatest extent on that day, providing capacity space for the absorption of new energy on the next day and having better peak-shaving capability.

Claims

1. A method for evaluating energy storage capacity configuration and regulation capability considering new energy consumption and system peak load regulation, characterized by: Based on the system power balance constraint, the simultaneous output rate of new energy in the corresponding period is obtained through the analysis of historical operation data. Based on the actual operation experience and taking into account the 95% confidence interval, the output value of new energy at the corresponding time is calculated; Then, the energy storage is analyzed to charge during the off-peak load period and discharge during the peak load period, thereby ensuring that the system power balance and the energy storage capacity to charge and participate in peak load regulation during the off-peak load period of the next day are met. The energy storage configuration capacity is further solved by considering the constraint of the new energy abandonment rate. Finally, the new energy power consumption margin index and the energy storage participation in peak regulation and new energy consumption margin index are defined to analyze the system's new energy consumption margin under the energy storage capacity configuration and evaluate the system's ability to absorb new energy on the next day.

2. The energy storage capacity configuration and regulation capability evaluation method considering new energy consumption and system peak load regulation according to claim 1 is characterized in that: The system power balance constraint is specifically: （1） Where: Indicates the output power of the system thermal power unit; Indicates the output power of the system hydropower unit, Indicates the system's new energy output power; Indicates the system AC tie line power. When the value is positive, it indicates input to the system, and when it is negative, it indicates output from the system. Indicates the system DC power, Indicates system load; Indicates the system energy storage power. When the value is positive, it means the energy storage is in a charging state, and when it is negative, it means the energy storage is in a discharging state. Indicates the system abandoned power. When the output of renewable energy is large and the system cannot meet the power balance, the value is positive. All variables in formula (1) are time The time interval is 15 minutes, and there are 96 data points in a day. , .

3. The energy storage capacity configuration and regulation capability evaluation method considering new energy consumption and system peak load regulation according to claim 2 is characterized in that: The output of new energy is usually the sum of wind power output and photovoltaic output, as shown in the following formula: （2） （3） （4） In the formula, Indicates the output value of wind turbine; Indicates the photovoltaic power generation output value; Indicates the output synchronization rate of the system wind turbines at the corresponding moment; Indicates the output synchronization rate of the system's photovoltaic power generation at the corresponding moment; Indicates the installed capacity of wind turbines in the system at the corresponding moment; Indicates the photovoltaic power generation installed capacity of the system at the corresponding moment. The above are all time function.

4. The energy storage capacity configuration and regulation capability evaluation method considering new energy consumption and system peak load regulation according to claim 3 is characterized in that: The main factors affecting the peak load regulation and new energy consumption under the system light load mode are the new energy output value, including: (1) Select the historical operation data of the typical load day corresponding to the system analysis, analyze the output simultaneity coefficients of wind turbines and photovoltaics, and arrange the output simultaneity coefficients at the corresponding time from large to small. The resulting array is shown in the following formula: （5） （6） In the formula, Represents the wind turbine output synchronization rate array after the historical data is rearranged; It represents the photovoltaic output synchronization rate array after the historical data is rearranged. Indicates the number of wind power output synchronization rate arrays i data, Indicates the number of PV output simultaneity rate arrays. j data, Indicates the number of data in the wind power output coefficient array, Indicates the number of data in the photovoltaic output coefficient array; (2) Take the 95% confidence interval and calculate the output coefficient of the wind turbine and photovoltaic at the corresponding time, as shown in the following formula: （7） （8） In the formula, express The output coefficient corresponding to the 95% confidence interval in the array is considered, express The output coefficient corresponding to the 95% confidence interval considered in the array.

5. The energy storage capacity configuration and regulation capability evaluation method considering new energy consumption and system peak load regulation according to claim 4 is characterized in that: For daily peak regulation, it is necessary to ensure that the energy storage is charged during the off-peak load period and discharged during the peak load period, thereby ensuring the power balance of the system and ensuring that the energy storage has the capacity to charge and participate in peak regulation during the off-peak load period of the next day: （9） Formula (9) represents the power surplus or deficit of the system without considering energy storage and power abandonment. In formula (9), the thermal power unit takes into account its deep regulation capability, that is, , Indicates the installed capacity of thermal power plants.

6. The energy storage capacity configuration and regulation capability evaluation method considering new energy consumption and system peak load regulation according to claim 5 is characterized in that: The constraints to meet the system's full-day power balance are as follows: （10） In the formula, Indicates the system surplus or deficit power. Indicates a time interval; When considering energy storage to participate in peak load regulation, the constraints shown in the following formula must be met, that is, the maximum value of energy storage discharge power must be greater than or equal to the maximum power gap value during the system peak load period; （11） In the formula, Indicates the maximum value of energy storage discharge power, Indicates the maximum power gap value during the system peak load period.

7. The energy storage capacity configuration and regulation capability evaluation method considering new energy consumption and system peak load regulation according to claim 6 is characterized in that: The energy storage capacity configuration must meet the power constraint conditions as shown below: （12） In the formula, Indicates the energy storage charging or discharging power, Indicates the conversion efficiency during the energy storage charging and discharging process.

8. The method for evaluating energy storage capacity configuration and regulation capability considering new energy consumption and system peak load regulation according to claim 7 is characterized in that: After considering the participation of energy storage in regulation, the rate of abandoned electricity from new energy sources is further considered, as shown in the following formula: （13） （14） （15） In the formula, Indicates the amount of power wasted. Indicates the system power curtailment constraint ratio.

9. The energy storage capacity configuration and regulation capability evaluation method considering new energy consumption and system peak load regulation according to claim 8 is characterized in that: Defining the new energy power consumption margin index , as shown below: （16） In the formula, Indicates the maximum amount of abandoned electricity from new energy sources and the margin index of new energy power consumption The larger the value, the smaller the system's renewable energy absorption margin under the energy storage capacity configuration. When the value is greater than 1, it indicates that the system cannot meet the renewable energy absorption requirements at this time.

10. The energy storage capacity configuration and regulation capability evaluation method considering new energy consumption and system peak load regulation according to claim 9 is characterized in that: Define energy storage participation in peak load regulation and new energy consumption margin indicators , as shown in the following formula (17): （17） This value is used to evaluate the system's ability to absorb new energy on the next day. The smaller the value, the more the energy storage charging power can be released to the greatest extent on that day, providing capacity space for the absorption of new energy on the next day and having better peak-shaving capability.

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