A method and system for site selection of a high-altitude area network-structured energy storage power station

Abstract

The application relates to the technical field of power system planning, and discloses a method and system for site selection of a network-constructed energy storage power station in a high-altitude area. The application comprises the following steps: obtaining the power of each node of the energy storage power station and the working time of each node; performing proportional calculation according to the power of each node and the working time of each node to obtain a load ratio; performing line loss calculation according to the load ratio to obtain line loss power; performing numerical comparison according to the line loss power to obtain an average loss value and a charging efficiency; performing operation according to the average loss value and the charging efficiency to obtain line energy consumption; performing line loss value iterative analysis operation according to the line energy consumption and the power of each node, and determining the site selection scheme when the line loss value reaches a minimum value as an optimal site selection scheme. The method considers the influence of special climate conditions in the high-altitude area on the operation efficiency of the energy storage power station, and can improve the operation efficiency of the energy storage power station.

Description

Technical Field

[0001] This invention relates to the field of power system planning technology, and in particular to a method and system for site selection of grid-type energy storage power stations in high-altitude areas. Background Technology

[0002] Currently, grid-connected energy storage power stations are energy storage systems that can actively participate in grid regulation and provide stable power supply. Through bidirectional regulation, they compensate participants in demand-side response, improve user dispatchability, enhance the self-healing and proactive management level of the distribution network, and increase the flexibility of grid dispatch and operation control. They play an important role, especially in renewable energy grid connection, grid peak-valley regulation, and emergency backup.

[0003] Site selection planning for grid-type energy storage power stations is a key research area. Improper site selection will affect the operational efficiency of energy storage power stations. Optimization planning requires consideration of various factors, such as power standards, terrain conditions, grid operation, and power load. For high-altitude areas, climate conditions, air density, high and low temperature characteristics, photovoltaic effects, and air humidity significantly impact the operational efficiency of energy storage stations. Climate conditions in high-altitude areas can affect the use of energy storage systems and even damage them. The air density in high-altitude areas is only 0.8-0.85 kg / m³, far lower than the 1.225 kg / m³ at sea level. Due to the reduced air density, power transmission in high-altitude areas faces more severe challenges.

[0004] In existing technologies, the key indicators in the site selection process based on the analytic hierarchy process are too subjective; the planning results based on the traditional multi-objective programming method lack consideration for the safety of the site selection; and in the process of building the optimization model, it is impossible to solve the optimal charging power of the energy storage system when the distance between the site selection sites is less than the minimum voltage margin, and the impact of power loss value is not considered in the site selection scheme.

[0005] In summary, existing site selection methods are difficult to meet the characteristics of high-altitude areas, and the site selection results do not closely match actual use, resulting in low site selection efficiency. Summary of the Invention

[0006] This invention provides a method and system for site selection of grid-type energy storage power stations in high-altitude areas, taking into account the impact of special climatic conditions in high-altitude areas on the operating efficiency of energy storage power stations in order to improve the operating efficiency of energy storage power stations.

[0007] Firstly, in order to solve the above-mentioned technical problems, the present invention provides a method for site selection of grid-type energy storage power stations in high-altitude areas, comprising:

[0008] Obtain the power and operating time of each node in the energy storage power station;

[0009] The load ratio is obtained by performing a proportional calculation based on the power of each node and the working time of each node.

[0010] Based on the load ratio, the line loss is calculated to obtain the line loss power;

[0011] Based on the power loss of the line, a numerical comparison is made to obtain the average loss value and charging efficiency.

[0012] The line energy consumption is calculated based on the average loss value and the charging efficiency.

[0013] Based on the line energy consumption and the power of each node, an iterative analysis of the line loss value is performed, and the location scheme when the line loss value reaches the minimum value is determined as the optimal location scheme.

[0014] As an optional implementation, obtaining the power and operating time of each node in the energy storage power station includes:

[0015] Obtain the voltage and ambient temperature values ​​for the planned energy storage power station;

[0016] Based on the voltage and ambient temperature values, power calculations are performed to obtain the power of each node;

[0017] Based on the ambient temperature value, temperature values ​​are determined to obtain the working time of each node;

[0018] The power of each node is calculated using the following formula:

[0019] ,

[0020] In the formula, Represents the i-th node Indicates the voltage value. This indicates the resistance value of the power lines in an energy storage power station at standard temperature. Indicates the temperature coefficient. Indicates ambient temperature. Indicates standard temperature. For planned transmission power.

[0021] As an optional implementation, the step of calculating the load ratio based on the power and operating time of each node includes:

[0022] The total power of the energy storage power station is obtained by summing the power values ​​of each node of the energy storage power station.

[0023] The load ratio is obtained by weighting the total power of the energy storage power station, the power of each node, and the working time of each node.

[0024] The load ratio is calculated using the following formula:

[0025] ,

[0026] ,

[0027] In the formula, This represents the power of the i-th node. This represents the working time of the i-th node. This represents the load ratio of the i-th node. This represents the total number of nodes.

[0028] As an optional implementation, the step of calculating line losses based on the load ratio to obtain line loss power includes:

[0029] Based on the temperature and voltage of the area where the energy storage power station is located, environmental matching is performed to obtain the power line efficiency;

[0030] Based on the power line efficiency and the load ratio, combined with the transformer efficiency, a product calculation is performed to obtain the line loss rate.

[0031] The line loss power is obtained by multiplying the line loss rate and the total power of the energy storage station.

[0032] The efficiency of the transformer is determined by the type of transformer used.

[0033] As an optional implementation, the step of comparing the average loss value and charging efficiency based on the line loss power includes:

[0034] The average loss value is obtained by averaging the power loss of the line.

[0035] The charging efficiency is obtained by multiplying the power loss of the line and the charging parameters of the energy storage station.

[0036] As an optional implementation, the step of calculating the line energy consumption based on the average loss value and the charging efficiency includes:

[0037] Based on the charging efficiency, the charging and discharging efficiency is converted to obtain the output efficiency of the energy storage power station;

[0038] The energy consumption of the line is obtained by multiplying the output efficiency of the energy storage power station and the average loss value.

[0039] As an optional implementation, the step of performing iterative analysis of line loss values ​​based on the line energy consumption and the power of each node, and determining the location scheme when the line loss value reaches its minimum as the optimal location scheme, includes:

[0040] Based on the energy consumption of the line and the power of each node, power allocation is performed to obtain the starting power value of each node;

[0041] The maximum power of the line is obtained by comparing the power values ​​at the beginning of each node.

[0042] Based on the maximum power of the line and the unit resistance of the line between the energy storage power station and each node, the distance between the energy storage power station and each node is obtained.

[0043] Based on the distance between the energy storage power station and each node, numerical iteration is performed. When the line loss value reaches the minimum value, the site selection scheme at this time is determined to be the optimal site selection scheme.

[0044] The step of obtaining the distance between the energy storage power station and each node based on the maximum power of the line and the unit resistance of the line between the energy storage power station and each node includes:

[0045] The distance between the energy storage power station and each node is calculated using the following formula:

[0046] ,

[0047] In the formula, Let be the unit resistance of the line between the energy storage power station and node i. denoted as , representing the distance between the energy storage power station and node i.

[0048] As an optional implementation, the step of performing numerical iteration based on the distance between the energy storage power station and each node includes:

[0049] Numerical iteration is performed using the following formula:

[0050] ,

[0051] In the formula, This represents the energy consumption for the development of the i-th branch. Let i be the load ratio of the i-th branch. Let i be the working time of the i-th branch. Let be the loss value of the i-th line.

[0052] Secondly, the present invention provides a system for site selection of grid-type energy storage power stations in high-altitude areas, characterized in that it includes:

[0053] The data acquisition module is used to acquire the power and operating time of each node in the energy storage power station.

[0054] The load calculation module is used to perform proportional calculations based on the power of each node and the working time of each node to obtain the load ratio;

[0055] The power loss calculation module is used to calculate the line loss based on the load ratio to obtain the line loss power.

[0056] The charging efficiency calculation module is used to compare the values ​​based on the power loss of the line to obtain the average loss value and charging efficiency.

[0057] The energy consumption calculation module is used to perform calculations based on the average loss value and the charging efficiency to obtain the line energy consumption.

[0058] The scheme determination module is used to perform iterative analysis of line loss values ​​based on the line energy consumption and the power of each node, and to determine the optimal site selection scheme when the line loss value reaches the minimum value.

[0059] Thirdly, the present invention also provides a computer-readable storage medium comprising a stored computer program, wherein, when the computer program is executed, it controls the device containing the computer-readable storage medium to perform any of the above-described site selection method for a grid-type energy storage power station in high-altitude areas.

[0060] Compared with the prior art, the present invention has the following beneficial effects:

[0061] This invention first obtains the power and operating time of each node in an energy storage power station, which can be acquired through smart meters or power measurement devices. Next, it calculates the load ratio based on this data, i.e., the ratio of the power of each node to the total power. Then, it calculates line losses based on the load ratio, using formulas for active and reactive power losses to obtain the line loss power. Subsequently, it compares the line loss power values ​​to identify the maximum loss value and evaluates it in conjunction with charging efficiency. With the maximum loss value and charging efficiency, and considering the unit resistance of the power line, it obtains the line energy consumption value using the formula for calculating total line energy consumption. Combining the line energy consumption and the power of each node, it allocates line length to determine the power station site selection scheme. This invention provides a method and system for site selection of grid-type energy storage power stations in high-altitude areas to improve the operating efficiency of energy storage power stations, reduce line energy consumption, and consider the impact of special climatic conditions in high-altitude areas on the operating efficiency of energy storage power stations. Attached Figure Description

[0062] Figure 1 This is a schematic flowchart of the method for site selection of grid-type energy storage power stations in high-altitude areas provided in the first embodiment of the present invention;

[0063] Figure 2 This is a schematic diagram of the system structure for site selection of a grid-type energy storage power station in high-altitude areas, provided in the second embodiment of the present invention. Detailed Implementation

[0064] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0065] Currently, grid-connected energy storage power stations are energy storage systems that can actively participate in grid regulation and provide stable power supply. Through bidirectional regulation, they compensate participants in demand-side response, improve user dispatchability, enhance the self-healing and proactive management level of the distribution network, and increase the flexibility of grid dispatch and operation control. They play an important role, especially in renewable energy grid connection, grid peak-valley regulation, and emergency backup.

[0066] In existing technologies, site selection planning for grid-based energy storage power stations is a key research area. Improper site selection can negatively impact operational efficiency and waste investment. Optimization planning requires consideration of various factors, such as power standards, terrain conditions, grid operation, and power load. For high-altitude areas, climate conditions, air density, high and low temperature characteristics, photovoltaic effects, and air humidity significantly affect the operational efficiency of energy storage stations. Climate conditions at high altitudes can affect the use of energy storage systems and even damage them. The air density at high altitudes is only 0.8-0.85 kg / m³, far lower than the 1.225 kg / m³ at sea level. Due to the reduced air density, power transmission in high-altitude areas faces even more severe challenges.

[0067] When high-voltage transmission lines pass through areas with low altitudes and steep slopes, the temperature difference between high and low altitude regions is significant due to the different convection intensities, resulting in vertical convection. The presence of convective winds enhances vertical thermal convection, causing a change in the thermal balance of the transmission lines and raising their temperature.

[0068] To address the aforementioned problems, the following specific embodiments will provide a detailed introduction and explanation of a monitoring method for building curtain walls provided by the present invention.

[0069] Reference Figure 1 The first embodiment of the present invention provides a method for site selection of grid-type energy storage power stations in high-altitude areas, including the following steps:

[0070] S11, obtain the power and operating time of each node in the energy storage power station;

[0071] S12, calculate the load ratio based on the power of each node and the working time of each node;

[0072] S13, Calculate the line loss based on the load ratio to obtain the line loss power;

[0073] S14. Based on the power loss of the line, a numerical comparison is performed to obtain the average loss value and charging efficiency.

[0074] S15, calculate the line energy consumption based on the average loss value and the charging efficiency.

[0075] S16. Based on the line energy consumption and the power of each node, perform iterative analysis of line loss value, and determine the location scheme when the line loss value reaches the minimum value as the optimal location scheme.

[0076] It should be noted that the power of each node in the energy storage power station is obtained using an electricity meter. The electricity meter can measure the power value of each branch. Specifically, the power measurement function of the electricity meter is mainly reflected in its ability to monitor and record the active power and reactive power in the energy consumption in real time. The active power is determined by calculating the product of the effective values ​​of current and voltage. At the same time, the reactive power related to magnetic field energy exchange is measured, and then the power factor is calculated to provide a basis for billing for power suppliers and data support for users' energy saving and electricity management.

[0077] For example, the electricity meter used in this embodiment is a single-phase electricity meter, used to measure the electrical energy consumption in a single-phase circuit. The selected model is DD862-2. The DD862-2 type electricity meter has a medium level of measurement accuracy and is suitable for metering general household and commercial electricity consumption. In practical applications, an electricity meter with an accuracy class of 2 can meet the needs of most electricity consumption situations and ensure accurate measurement of electrical energy consumption.

[0078] This invention first obtains the power and operating time of each node in an energy storage power station, which can be acquired through smart meters or power measurement devices. Next, it calculates the load ratio based on this data, i.e., the ratio of the power of each node to the total power. Then, it calculates line losses based on the load ratio, using formulas for active and reactive power losses to obtain the line loss power. Subsequently, it compares the line loss power values ​​to identify the maximum loss value and evaluates it in conjunction with charging efficiency. With the maximum loss value and charging efficiency, and considering the unit resistance of the power line, it obtains the line energy consumption value using the formula for calculating total line energy consumption. Combining the line energy consumption and the power of each node, it allocates line length to determine the power station site selection scheme. This invention provides a method and system for site selection of grid-type energy storage power stations in high-altitude areas to improve the operating efficiency of energy storage power stations, reduce line energy consumption, and consider the impact of special climatic conditions in high-altitude areas on the operating efficiency of energy storage power stations.

[0079] In step S11, obtaining the power and operating time of each node in the energy storage power station includes:

[0080] Obtain the voltage and ambient temperature values ​​for the planned energy storage power station;

[0081] Based on the voltage and ambient temperature values, power calculations are performed to obtain the power of each node;

[0082] Based on the ambient temperature value, temperature values ​​are determined to obtain the working time of each node;

[0083] The power of each node is calculated using the following formula:

[0084] ,

[0085] In the formula, This represents the power of the i-th node. Indicates the voltage value. This indicates the resistance value of the power lines in an energy storage power station at standard temperature; for pure copper wire, it is 1.7 × 10⁻⁸ Ω·m. This indicates the temperature coefficient; for pure copper wire, it is 0.00393 / ℃. Indicates ambient temperature. This indicates the standard temperature, which is 25℃. For planned transmission power.

[0086] It should be noted that, based on the ambient temperature value, the temperature value is determined to obtain the working time of each node. When the ambient temperature is too harsh, the working time of the power grid needs to be adjusted. Specifically, when the temperature is below -40°C, current limiting is required to meet safety requirements.

[0087] It should be noted that the voltage value for the planned energy storage power station is determined by the user and can be 20kV; no specific limitation is made here. The ambient temperature value is obtained by measuring a thermometer.

[0088] In step S12, the calculation of the load ratio based on the power and operating time of each node includes:

[0089] The total power of the energy storage power station is obtained by summing the power values ​​of each node of the energy storage power station.

[0090] The load ratio is obtained by weighting the total power of the energy storage power station and the working time of each node.

[0091] The load ratio is calculated using the following formula:

[0092] ,

[0093] ,

[0094] In the formula, This represents the power of the i-th node. This represents the working time of the i-th node. This represents the load ratio of the i-th node. Indicates total power. This represents the total number of nodes.

[0095] It should be noted that the process of summing the power of each node in the energy storage power station to obtain the total power of the energy storage power station involves multiplying the power of each node by its corresponding node time and then summing the values ​​to obtain the total power.

[0096] In step S13, the calculation of line loss based on the load ratio to obtain the line loss power includes:

[0097] Based on the temperature and voltage of the area where the energy storage power station is located, environmental matching is performed to obtain the power line efficiency;

[0098] Based on the power line efficiency and the load ratio, combined with the transformer efficiency, a product calculation is performed to obtain the line loss rate.

[0099] The line loss power is obtained by multiplying the line loss rate and the total power of the energy storage station.

[0100] The efficiency of the transformer is determined by the type of transformer used.

[0101] It should be noted that, based on the temperature and voltage of the area where the energy storage power station is located, environmental matching is performed to obtain the power line efficiency, including:

[0102] By adjusting the resistivity of the conductors according to the ambient temperature and pressure, the efficiency of the power line can be affected.

[0103] It should be further noted that the effect of temperature on the resistivity of the conductor is expressed by the following formula:

[0104] ,

[0105] In the formula, Indicates the resistivity of the conductor. Represents the resistivity at a reference temperature (usually 0°C). It is the temperature coefficient of resistivity. It indicates the temperature in Celsius.

[0106] It should be further noted that the process of multiplying the transformer efficiency, the power line efficiency, and the load ratio to obtain the line loss rate includes:

[0107] ,

[0108] In the formula, This indicates the line loss rate. Indicates the efficiency of the transformer. Indicates the efficiency of power lines.

[0109] This indicates the load ratio, where the power line efficiency is determined by the selected voltage line; for example, the power line efficiency of pure copper wire is 99%.

[0110] It should be noted that the process of multiplying the line loss rate and the total power of the energy storage station to obtain the line loss power includes:

[0111] Multiply the total power of the energy storage power station by the line loss rate to obtain the line loss power.

[0112] In step S14, the step of comparing the average loss value and charging efficiency based on the line loss power includes:

[0113] The average loss value is obtained by averaging the power loss of the line.

[0114] The charging efficiency is obtained by multiplying the power loss of the line and the charging parameters of the energy storage station.

[0115] It should be noted that the step of calculating the average loss value based on the line loss power includes:

[0116] The total power loss is obtained by summing the power loss values ​​of the line. The average power loss is then obtained by dividing the total power loss by the planned number of nodes.

[0117] It should be noted that the step of multiplying the power loss of the line and the charging parameters of the energy storage station to obtain the charging efficiency includes:

[0118] The charging parameters of the energy storage station are determined by the type of energy storage station being built, and involve aspects such as installed capacity, rated charging and discharging power and electrochemical energy storage characteristics. These parameters can be set by the user and can be set to 98%, as long as they are reasonable. No specific limitations are made here.

[0119] In step S15, the calculation to obtain the line energy consumption based on the average loss value and the charging efficiency includes:

[0120] Based on the charging efficiency, the charging and discharging efficiency is converted to obtain the output efficiency of the energy storage power station;

[0121] The energy consumption of the line is obtained by multiplying the output efficiency of the energy storage power station and the average loss value.

[0122] It should be noted that the process of converting the charging and discharging efficiency based on the charging efficiency to obtain the output efficiency of the energy storage power station includes, for example, taking a conversion efficiency of 98.5% from the charging efficiency to the output efficiency of the energy storage power station, based on the power charging and discharging efficiency conversion system and the market production situation of PCS (energy storage converter).

[0123] It should be noted that the line energy consumption is obtained by multiplying the output efficiency of the energy storage power station and the average loss value. The line energy consumption is obtained by multiplying the output efficiency of the energy storage power station by the average loss value.

[0124] Step S16, which involves performing an iterative analysis of line loss values ​​based on the line energy consumption and the power of each node, and determining the optimal location scheme as the one where the line loss value reaches its minimum, includes:

[0125] Based on the energy consumption of the line and the power of each node, power allocation is performed to obtain the starting power value of each node;

[0126] The maximum power of the line is obtained by comparing the power values ​​at the beginning of each node.

[0127] Based on the maximum power of the line and the unit resistance of the line between the energy storage power station and each node, the distance between the energy storage power station and each node is obtained.

[0128] Based on the distance between the energy storage power station and each node, numerical iteration is performed. When the line loss value reaches the minimum value, the site selection scheme at this time is determined to be the optimal site selection scheme.

[0129] It should be noted that the step of obtaining the distance between the energy storage power station and each node based on the maximum power of the line and the unit resistance of the line between the energy storage power station and each node includes:

[0130] The distance between the energy storage power station and each node is calculated using the following formula:

[0131] ,

[0132] In the formula, Let be the unit resistance of the line between the energy storage power station and node i. denoted as , representing the distance between the energy storage power station and node i.

[0133] It should be noted that the step of calculating the optimal location scheme based on the distance between the energy storage power station and each node includes:

[0134] Based on the distance between the energy storage power station and each node, numerical iteration is performed to obtain the line loss value of energy consumption;

[0135] Based on the line loss value, a numerical judgment is made, and when the line loss value reaches the minimum value, the location scheme at this time is determined to be the optimal location scheme.

[0136] It should be further explained that the numerical iteration is calculated using the following formula:

[0137] ,

[0138] In the formula, This represents the energy consumption for the development of the i-th branch. Let i be the load ratio of the i-th branch. Let i be the working time of the i-th branch. Let i be the loss value of the i-th line; by transformation The minimum total line loss is obtained by measuring the distance in different directions, and this minimum value is then determined as the final location scheme.

[0139] It should be further explained that the total line loss value is the sum of the line loss values.

[0140] Compared with the prior art, the present invention has the following beneficial effects:

[0141] This invention provides a method and system for site selection of a grid-type energy storage power station in high-altitude areas. The method is executed by a controller and includes: acquiring the power and operating time of each node in the energy storage power station; performing proportional calculations based on the power and operating time of each node to obtain a load ratio; calculating line losses based on the load ratio to obtain line loss power; comparing the line loss power to obtain an average loss value and charging efficiency; performing calculations based on the average loss value and charging efficiency to obtain line energy consumption; and performing iterative analysis of line loss values ​​based on the line energy consumption and the power of each node, determining the site selection scheme at the minimum value as the optimal site selection scheme.

[0142] This invention first obtains the power and operating time of each node in an energy storage power station, which can be acquired through smart meters or power measurement devices. Next, it calculates the load ratio based on this data, i.e., the ratio of the power of each node to the total power. Then, it calculates line losses based on the load ratio, using formulas for active and reactive power losses to obtain the line loss power. Subsequently, it compares the line loss power values ​​to identify the maximum loss value and evaluates it in conjunction with charging efficiency. With the maximum loss value and charging efficiency, and considering the unit resistance of the power line, it obtains the line energy consumption value using the formula for calculating total line energy consumption. Combining the line energy consumption and the power of each node, it allocates line length to determine the power station site selection scheme. This invention provides a method and system for site selection of grid-type energy storage power stations in high-altitude areas to improve the operating efficiency of energy storage power stations, reduce line energy consumption, and consider the impact of special climatic conditions in high-altitude areas on the operating efficiency of energy storage power stations.

[0143] To facilitate understanding of the present invention, some preferred embodiments of the present invention will be described in further detail below.

[0144] In this embodiment, a site selection device for a grid-type energy storage power station in high-altitude areas is proposed. The device consists of the following key components: a data acquisition module, a load calculation module, a power loss calculation module, a charging efficiency calculation module, an energy consumption calculation module, a scheme determination module, and a system control center module. Specifically, the data acquisition module collects the power and operating time of each node in the energy storage power station, as well as voltage and ambient temperature values; the load calculation module calculates the load ratio based on the power and operating time of each node; the power loss calculation module calculates the line power loss based on the load ratio and environmental parameters (such as temperature and voltage); the charging efficiency calculation module calculates the average power loss and charging efficiency based on the line power loss and the charging parameters of the energy storage power station; the energy consumption calculation module calculates the line energy consumption based on the average power loss and charging efficiency; and the scheme determination module performs iterative analysis of the line power loss based on the line energy consumption and the power of each node. When the line power loss reaches its minimum value, the site selection scheme at that point is determined to be the optimal site selection scheme.

[0145] The plan is implemented through the following steps:

[0146] Step 1: Obtain the power and operating time of each node in the energy storage power station, including voltage and ambient temperature values, to provide basic data for subsequent load ratio calculation and line loss analysis, and to provide accurate power demand and operating characteristics for each node.

[0147] Step 2: Calculate the load ratio based on the power and operating time of each node. By applying the load ratio algorithm, and based on the characteristics of the power load, allocate the power load according to a certain ratio to achieve a balance between supply and demand in the power system.

[0148] Step 3: Calculate line loss based on load ratio and environmental parameters to obtain line loss power. Calculate line loss by considering the effect of temperature on conductor resistance and the calculation of active power loss.

[0149] Step 4: Compare the line loss power values ​​to obtain the average loss value and charging efficiency. The average loss value is obtained by analyzing the line loss power and calculating the mean, while the charging efficiency is calculated by considering the charging parameters of the energy storage power station.

[0150] Step 5: Calculate the line energy consumption based on the average loss value and charging efficiency. In this step, the line energy consumption of the energy storage power station is calculated using a charge / discharge efficiency conversion algorithm combined with the average loss value.

[0151] Step Six: Perform iterative analysis of line loss values ​​based on line energy consumption and power at each node. When the line loss value reaches its minimum, the optimal site selection scheme is determined. Through power allocation and numerical comparison, the maximum power of the line is determined. Then, combining this with the unit resistance, the distance between the energy storage power station and each node is calculated, ultimately determining the optimal site selection scheme.

[0152] Compared with the prior art, the present invention has the following beneficial effects:

[0153] This invention provides a method and system for site selection of a grid-type energy storage power station in high-altitude areas. The method is executed by a controller and includes: acquiring the power and operating time of each node in the energy storage power station; performing proportional calculations based on the power and operating time of each node to obtain a load ratio; calculating line losses based on the load ratio to obtain line loss power; comparing the line loss power to obtain an average loss value and charging efficiency; performing calculations based on the average loss value and charging efficiency to obtain line energy consumption; and performing iterative analysis of line loss values ​​based on the line energy consumption and the power of each node, determining the site selection scheme at the minimum value as the optimal site selection scheme.

[0154] This invention first obtains the power and operating time of each node in an energy storage power station, which can be acquired through smart meters or power measurement devices. Next, it calculates the load ratio based on this data, i.e., the ratio of the power of each node to the total power. Then, it calculates line losses based on the load ratio, using formulas for active and reactive power losses to obtain the line loss power. Subsequently, it compares the line loss power values ​​to identify the maximum loss value and evaluates it in conjunction with charging efficiency. With the maximum loss value and charging efficiency, and considering the unit resistance of the power line, it obtains the line energy consumption value using the formula for calculating total line energy consumption. Combining the line energy consumption and the power of each node, it allocates line length to determine the power station site selection scheme. This invention provides a method and system for site selection of grid-type energy storage power stations in high-altitude areas to improve the operating efficiency of energy storage power stations, reduce line energy consumption, and consider the impact of special climatic conditions in high-altitude areas on the operating efficiency of energy storage power stations.

[0155] To facilitate understanding of the present invention, some preferred embodiments of the present invention will be described in further detail below.

[0156] Reference Figure 2 The second embodiment of the present invention provides a system for site selection of grid-type energy storage power stations in high-altitude areas, comprising:

[0157] The data acquisition module is used to acquire the power and operating time of each node in the energy storage power station.

[0158] The load calculation module is used to perform proportional calculations based on the power of each node and the working time of each node to obtain the load ratio;

[0159] The power loss calculation module is used to calculate the line loss based on the load ratio to obtain the line loss power.

[0160] The charging efficiency calculation module is used to compare the values ​​based on the power loss of the line to obtain the average loss value and charging efficiency.

[0161] The energy consumption calculation module is used to perform calculations based on the average loss value and the charging efficiency to obtain the line energy consumption.

[0162] The scheme determination module is used to perform iterative analysis of line loss values ​​based on the line energy consumption and the power of each node, and to determine the optimal site selection scheme when the line loss value reaches the minimum value.

[0163] In one embodiment, the data acquisition module is used to acquire the power and operating time of each node in the energy storage power station, including:

[0164] Obtain the voltage and ambient temperature values ​​for the planned energy storage power station;

[0165] Based on the voltage and ambient temperature values, power calculations are performed to obtain the power of each node;

[0166] Based on the ambient temperature value, temperature values ​​are determined to obtain the working time of each node;

[0167] The power of each node is calculated using the following formula:

[0168] ,

[0169] In the formula, Represents the i-th node Indicates the voltage value. This indicates the resistance value of the power lines in an energy storage power station at standard temperature; for pure copper wire, it is 1.7 × 10⁻⁸ Ω·m. This indicates the temperature coefficient; for pure copper wire, it is 0.00393 / ℃. Indicates ambient temperature. This indicates the standard temperature, which is 25℃. For planned transmission power.

[0170] It should be noted that, based on the ambient temperature value, the temperature value is determined to obtain the working time of each node. When the ambient temperature is too harsh, the working time of the power grid needs to be adjusted. Specifically, when the temperature is below -40°C, current limiting is required to meet safety requirements.

[0171] In one embodiment, the load calculation module is used to perform a proportional calculation based on the power of each node and the operating time of each node to obtain the load ratio, including:

[0172] The total power of the energy storage power station is obtained by summing the power values ​​of each node of the energy storage power station.

[0173] The load ratio is obtained by weighting the total power of the energy storage power station, the power of each node, and the working time of each node.

[0174] The load ratio is calculated using the following formula:

[0175] ,

[0176] ,

[0177] In the formula, This represents the power of the i-th node. This represents the working time of the i-th node. This represents the load ratio of the i-th node. Indicates total power; This represents the total number of nodes.

[0178] It should be noted that the process of summing the power of each node in the energy storage power station to obtain the total power of the energy storage power station involves multiplying the power of each node by its corresponding node time and then summing the values ​​to obtain the total power.

[0179] In one embodiment, the power loss calculation module is used to calculate the line loss based on the load ratio to obtain the line loss power, including:

[0180] Based on the temperature and voltage of the area where the energy storage power station is located, environmental matching is performed to obtain the power line efficiency;

[0181] Based on the power line efficiency and the load ratio, combined with the transformer efficiency, a product calculation is performed to obtain the line loss rate.

[0182] The line loss power is obtained by multiplying the line loss rate and the total power of the energy storage station.

[0183] The efficiency of the transformer is determined by the type of transformer used.

[0184] It should be noted that the process of obtaining power line efficiency through environmental matching based on the operating environment of the power system includes:

[0185] By adjusting the resistivity of the conductors according to the ambient temperature and pressure, the efficiency of the power line can be affected.

[0186] It should be further noted that the effect of temperature on the resistivity of the conductor is expressed by the following formula:

[0187] ,

[0188] In the formula, Indicates the resistivity of the conductor. Represents the resistivity at a reference temperature (usually 0°C). It is the temperature coefficient of resistivity. It indicates the temperature in Celsius.

[0189] In one embodiment, the charging efficiency calculation module is used to perform numerical comparison based on the line loss power to obtain an average loss value and charging efficiency, including:

[0190] The average loss value is obtained by averaging the power loss of the line.

[0191] The charging efficiency is obtained by multiplying the power loss of the line and the charging parameters of the energy storage station.

[0192] In one embodiment, the energy consumption calculation module is used to perform calculations based on the average loss value and the charging efficiency to obtain the line energy consumption, including:

[0193] Based on the charging efficiency, the charging and discharging efficiency is converted to obtain the output efficiency of the energy storage power station;

[0194] The energy consumption of the line is obtained by multiplying the output efficiency of the energy storage power station and the average loss value.

[0195] In one embodiment, the scheme determination module is used to perform iterative analysis of line loss values ​​based on the line energy consumption and the power of each node, and to determine the location scheme when the line loss value reaches the minimum value as the optimal location scheme, including:

[0196] Based on the energy consumption of the line and the power of each node, power allocation is performed to obtain the starting power value of each node;

[0197] The maximum power of the line is obtained by comparing the power values ​​at the beginning of each node.

[0198] Based on the maximum power of the line and the unit resistance of the line between the energy storage power station and each node, the distance between the energy storage power station and each node is obtained.

[0199] Based on the distance between the energy storage power station and each node, distance calculations are performed to obtain the optimal site selection scheme.

[0200] The step of obtaining the distance between the energy storage power station and each node based on the maximum power of the line and the unit resistance of the line between the energy storage power station and each node includes:

[0201] The distance between the energy storage power station and each node is calculated using the following formula:

[0202] ,

[0203] In the formula, Let be the unit resistance of the line between the energy storage power station and node i. denoted as , representing the distance between the energy storage power station and node i.

[0204] The step of performing numerical iterations based on the distance between the energy storage power station and each node, and determining the optimal site selection scheme when the line loss value reaches its minimum, includes:

[0205] Numerical iteration is performed using the following formula:

[0206] ,

[0207] In the formula, This represents the energy consumption for the development of the i-th branch. Let i be the load ratio of the i-th branch. Let i be the working time of the i-th branch. Let be the loss value of the i-th line.

[0208] Compared with the prior art, the present invention has the following beneficial effects:

[0209] This invention first obtains the power and operating time of each node in an energy storage power station, which can be acquired through smart meters or power measurement devices. Next, it calculates the load ratio based on this data, i.e., the ratio of the power of each node to the total power. Then, it calculates line losses based on the load ratio, using formulas for active and reactive power losses to obtain the line loss power. Subsequently, it compares the line loss power values ​​to identify the maximum loss value and evaluates it in conjunction with charging efficiency. With the maximum loss value and charging efficiency, and considering the unit resistance of the power line, it obtains the line energy consumption value using the formula for calculating total line energy consumption. Combining the line energy consumption and the power of each node, it allocates line length to determine the power station site selection scheme. This invention provides a method and system for site selection of grid-type energy storage power stations in high-altitude areas to improve the operating efficiency of energy storage power stations, reduce line energy consumption, and consider the impact of special climatic conditions in high-altitude areas on the operating efficiency of energy storage power stations.

[0210] It should be noted that the high-altitude grid-type energy storage power station site selection device provided in this embodiment of the invention is used to execute all the process steps of the high-altitude grid-type energy storage power station site selection method in the above embodiment. The working principles and beneficial effects of the two are one-to-one, so they will not be described again.

[0211] This invention also provides an electronic device. The electronic device includes a processor, a memory, and a computer program stored in the memory and executable on the processor, such as an average calculation program. When the processor executes the computer program, it implements the steps in the above-described methods for site selection of grid-type energy storage power stations in high-altitude areas, for example... Figure 1 The step S11 shown. Alternatively, when the processor executes the computer program, it implements the functions of each module / unit in the above-described device embodiments, such as the load calculation module.

[0212] For example, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in the electronic device.

[0213] The electronic device may be a desktop computer, laptop, handheld computer, or smart tablet, etc. The electronic device may include, but is not limited to, a processor and memory. Those skilled in the art will understand that the above components are merely examples of electronic devices and do not constitute a limitation on the electronic device. It may include more or fewer components than described above, or combine certain components, or different components. For example, the electronic device may also include input / output devices, network access devices, buses, etc.

[0214] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the electronic device, connecting all parts of the electronic device via various interfaces and lines.

[0215] The memory can be used to store the computer programs and / or modules. The processor implements various functions of the electronic device by running or executing the computer programs and / or modules stored in the memory and by calling data stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as audio data, phonebook, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0216] Wherein, if the modules / units integrated in the electronic device are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electrical carrier signals and telecommunication signals.

[0217] It should be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the device embodiments provided by this invention, the connection relationships between modules indicate that they have communication connections, which can be specifically implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.

[0218] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. In particular, it should be noted that any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention for those skilled in the art.

Claims

1. A method for site selection of grid-type energy storage power stations in high-altitude areas, characterized in that, include: Obtain the power and operating time of each node in the energy storage power station; The load ratio is obtained by performing a proportional calculation based on the power of each node and the working time of each node. Based on the load ratio, the line loss is calculated to obtain the line loss power; Based on the power loss of the line, a numerical comparison is made to obtain the average loss value and charging efficiency. The line energy consumption is calculated based on the average loss value and the charging efficiency. Based on the line energy consumption and the power of each node, perform iterative analysis of line loss value, and determine the location scheme when the line loss value reaches the minimum value as the optimal location scheme. The step of calculating line loss based on the load ratio to obtain line loss power includes: Based on the temperature and voltage of the area where the energy storage power station is located, environmental matching is performed to obtain the power line efficiency; Based on the power line efficiency and the load ratio, combined with the transformer efficiency, a product calculation is performed to obtain the line loss rate. The line loss power is obtained by multiplying the line loss rate and the total power of the energy storage station. The efficiency of the transformer is determined by the type of transformer used. Among these, environmental matching is performed based on the temperature and voltage of the area where the energy storage power station is located to obtain the power line efficiency, including: The resistivity of the conductor can be changed according to the environmental conditions of temperature and pressure to affect the efficiency of the power line. The effect of temperature on the resistivity of the conductor is expressed by the following formula: ， In the formula, Indicates the resistivity of the conductor. Represents the resistivity at the reference temperature. It is the temperature coefficient of resistivity. It indicates the temperature in Celsius.

2. The method for site selection of grid-type energy storage power stations in high-altitude areas according to claim 1, characterized in that, The acquisition of the power and operating time of each node in the energy storage power station includes: Obtain the voltage and ambient temperature values ​​for the planned energy storage power station; Based on the voltage and ambient temperature values, power calculations are performed to obtain the power of each node; Based on the ambient temperature value, temperature values ​​are determined to obtain the working time of each node; The power of each node is calculated using the following formula: ， In the formula, This represents the power of the i-th node. Indicates the voltage value. This indicates the resistance value of the power lines in an energy storage power station at standard temperature. Indicates the temperature coefficient. Indicates ambient temperature. Indicates standard temperature. For planned transmission power.

3. The method for site selection of grid-type energy storage power stations in high-altitude areas according to claim 1, characterized in that, The calculation of the load ratio based on the power and operating time of each node includes: The total power of the energy storage power station is obtained by summing the power values ​​of each node of the energy storage power station. The load ratio is obtained by weighting the total power of the energy storage power station, the power of each node, and the working time of each node. The load ratio is calculated using the following formula: ， ， In the formula, This represents the power of the i-th node. This represents the working time of the i-th node. This represents the load ratio of the i-th node. Indicates total power; This represents the total number of nodes.

4. The method for site selection of grid-type energy storage power stations in high-altitude areas according to claim 1, characterized in that, The step of comparing the average loss value and charging efficiency based on the power loss of the line includes: The average loss value is obtained by averaging the power loss of the line. The charging efficiency is obtained by multiplying the power loss of the line and the charging parameters of the energy storage station.

5. The method for site selection of grid-type energy storage power stations in high-altitude areas according to claim 1, characterized in that, The step of calculating the line energy consumption based on the average loss value and the charging efficiency includes: Based on the charging efficiency, the charging and discharging efficiency is converted to obtain the output efficiency of the energy storage power station; The energy consumption of the line is obtained by multiplying the output efficiency of the energy storage power station and the average loss value.

6. The method for site selection of grid-type energy storage power stations in high-altitude areas according to claim 1, characterized in that, The step of performing iterative analysis of line loss values ​​based on the line energy consumption and the power of each node, and determining the location scheme that minimizes the line loss value as the optimal location scheme, includes: Based on the energy consumption of the line and the power of each node, power is allocated to obtain the starting power value of each node; The maximum power of the line is obtained by comparing the power values ​​at the beginning of each node. Based on the maximum power of the line and the unit resistance of the line between the energy storage power station and each node, the distance between the energy storage power station and each node is obtained. Based on the distance between the energy storage power station and each node, numerical iteration is performed. When the line loss value reaches the minimum value, the site selection scheme at this time is determined to be the optimal site selection scheme. The step of obtaining the distance between the energy storage power station and each node based on the maximum power of the line and the unit resistance of the line between the energy storage power station and each node includes: The distance between the energy storage power station and each node is calculated using the following formula: ， In the formula, Let be the unit resistance of the line between the energy storage power station and node i. Let be the distance between the energy storage power station and node i. This represents the maximum power of the line.

7. The method for site selection of grid-type energy storage power stations in high-altitude areas according to claim 6, characterized in that, The numerical iteration based on the distance between the energy storage power station and each node includes: Numerical iteration is performed using the following formula: ， In the formula, This represents the energy consumption for the development of the i-th branch. Let i be the load ratio of the i-th branch. Let i be the working time of the i-th branch. Let be the loss value of the i-th line.

8. A system for site selection of grid-type energy storage power stations in high-altitude areas, characterized in that, A method for site selection of grid-type energy storage power stations in high-altitude areas as described in any one of claims 1 to 7, comprising: The data acquisition module is used to acquire the power and operating time of each node in the energy storage power station. The load calculation module is used to perform proportional calculations based on the power of each node and the working time of each node to obtain the load ratio; The power loss calculation module is used to calculate the line loss based on the load ratio to obtain the line loss power. The charging efficiency calculation module is used to compare the values ​​based on the power loss of the line to obtain the average loss value and charging efficiency. The energy consumption calculation module is used to perform calculations based on the average loss value and the charging efficiency to obtain the line energy consumption. The scheme determination module is used to perform iterative analysis of line loss values ​​based on the line energy consumption and the power of each node, and to determine the optimal site selection scheme when the line loss value reaches the minimum value.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored computer program, wherein, when the computer program is executed, it controls the device containing the computer-readable storage medium to perform a site selection method for a grid-type energy storage power station in high-altitude areas as described in any one of claims 1 to 7.

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