Method and system for site selection of network-building type energy storage power station in high-altitude area

Abstract

The invention relates to the technical field of power system planning, and discloses a method and a system for site selection of a network construction type energy storage power station in a high altitude area. The method comprises the following steps: acquiring the power and working time of each node of the energy storage power station; performing proportion calculation according to the power of each node and the working time of each node to obtain a load proportion; performing line loss calculation according to the load proportion to obtain line loss power; performing numerical comparison according to the line loss power to obtain an average loss value and charging efficiency; according to the average loss value and the charging efficiency, operation is carried out, and the line energy consumption is obtained; and according to the line energy consumption and the power of each node, carrying out line loss value iterative analysis operation, and determining the site selection scheme when the line loss value reaches the minimum value as the optimal site selection scheme. The method considers the influence of special climate conditions of 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] The present invention relates to the technical field of power system planning, and in particular to a method and system for site selection of a grid-type energy storage power station in a high-altitude area. Background Art

[0002] At present, the grid-connected energy storage power station is a kind of energy storage system that can actively participate in grid regulation and provide stable power supply. It compensates participants who respond on the demand side through two-way regulation, which can improve user dispatchability, improve the self-healing and active management level of the distribution network, and improve the flexibility of grid dispatching and operation control. It plays an important role in renewable energy grid connection, grid peak and valley regulation, and emergency backup.

[0003] Among them, the site selection planning of grid-type energy storage power stations is a key research direction. Improper site selection of energy storage power stations will affect their operating efficiency. When optimizing the planning, various factors need to be considered, such as power standards, terrain conditions, grid operation, power load, etc. For high-altitude areas, climate conditions, air density, high and low temperature characteristics, photovoltaics, air humidity, etc., have a great impact on the operating efficiency of energy storage stations. The climatic conditions in high-altitude areas will affect the use of energy storage systems and even damage them. The air density in high-altitude areas is only 0.8-0.85kg / m3, which is much lower than 1.225kg / m3 at sea level. Due to the decrease in air density, the air is thin, and power transmission in high-altitude areas faces more severe tests.

[0004] In the existing technology, the key indicators in the site selection process based on the hierarchical analysis method are too subjective; the planning results based on the traditional multi-objective planning method lack consideration of 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 site selection plan does not consider the impact of the power loss value.

[0005] In summary, the site selection methods in the prior art are difficult to meet the characteristics of high-altitude areas, and the site selection results are not highly consistent with actual use, resulting in low site selection efficiency. Summary of the invention

[0006] The present invention provides a method and system for selecting a site for a grid-type energy storage power station in a high-altitude area, which considers the influence of special climatic conditions in high-altitude areas on the operating efficiency of the energy storage power station to improve the operating efficiency of the energy storage power station.

[0007] In a first aspect, in order to solve the above technical problems, the present invention provides a method for selecting a site for a grid-type energy storage power station in a high altitude area, comprising:

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

[0009] Performing a proportional calculation based on the power of each node and the working time of each node to obtain a load ratio;

[0010] Calculating line loss according to the load ratio to obtain line loss power;

[0011] According to the line power loss, a numerical comparison is performed to obtain an average power loss value and a charging efficiency;

[0012] Performing calculations based on the average loss value and the charging efficiency to obtain line energy consumption;

[0013] According to the line energy consumption and the power of each node, an iterative analysis operation of the line loss value is performed, and the site selection scheme when the line loss value reaches the minimum value is determined as the optimal site selection scheme.

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

[0015] Obtain the voltage value and ambient temperature value of the planned energy storage power station;

[0016] Perform power calculation according to the voltage value and the ambient temperature value to obtain the power of each node;

[0017] According to the ambient temperature value, the temperature value is judged to obtain the working time of each node;

[0018] The power of each node is calculated by the following formula: , In the formula, Represents the i-th node Indicates the voltage value, Indicates the resistance value of the energy storage power station wire at standard temperature. represents the temperature coefficient, Indicates the ambient temperature, Indicates standard temperature, Transmit power for the plan.

[0019] As an optional implementation manner, performing a proportion calculation according to the power of each node and the working time of each node to obtain the load proportion includes:

[0020] According to the power of each node of the energy storage power station, numerical summation is performed to obtain the total power of the energy storage power station;

[0021] Performing weighted calculation according to the total power of the energy storage power station, the power of each node and the working time of each node to obtain the load ratio;

[0022] The load ratio is calculated by the following formula: , , In the formula, represents the power of the ith node, represents the working time of the i-th node, represents the load ratio of the i-th node, Indicates the total number of nodes.

[0023] As an optional implementation manner, performing line loss calculation according to the load ratio to obtain line loss power includes:

[0024] According to the temperature and voltage of the area where the energy storage power station is located, the environment is matched to obtain the power line efficiency;

[0025] According to the power line efficiency and the load ratio, combined with the efficiency of the transformer, a product operation is performed to obtain a line loss rate;

[0026] Performing a product operation according to the line loss rate and the total power of the energy storage power station to obtain the line loss power;

[0027] The efficiency of the transformer is determined by the type of transformer used.

[0028] As an optional implementation manner, performing numerical comparison according to the line power loss to obtain an average power loss value and a charging efficiency includes:

[0029] According to the line power loss, average calculation is performed to obtain an average loss value;

[0030] According to the line power loss and the charging parameters of the power storage station, data multiplication operation is performed to obtain the charging efficiency.

[0031] As an optional implementation manner, performing calculation according to the average loss value and the charging efficiency to obtain the line energy consumption includes:

[0032] According to the charging efficiency, converting the charging and discharging efficiency to obtain the output efficiency of the energy storage power station;

[0033] According to the output efficiency of the energy storage power station and the average loss value, a data multiplication operation is performed to obtain the line energy consumption.

[0034] As an optional implementation manner, performing an iterative analysis operation of a line loss value according to the line energy consumption and the power of each node, and determining a site selection scheme when the line loss value reaches a minimum value as an optimal site selection scheme, includes:

[0035] According to the line energy consumption and the power of each node, power allocation is performed to obtain the starting power value of each node;

[0036] According to the power values ​​of the starting ends of the nodes, numerical comparison is performed to obtain the maximum power of the line;

[0037] According to 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;

[0038] According to the distance between the energy storage power station and each node, numerical iteration is performed, and 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;

[0039] The method 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:

[0040] The distance between the energy storage power station and each node is calculated using the following formula: , In the formula, is the line unit resistance between the energy storage station and node i, is the distance between the energy storage power station and node i.

[0041] As an optional implementation manner, performing numerical iteration according to the distance between the energy storage power station and each node includes:

[0042] The numerical iteration is performed by the following formula: , In the formula, represents the energy consumption of the i-th branch development, is the load ratio of the i-th branch, is the working time of the i-th branch, is the loss value of the ith line.

[0043] In a second aspect, the present invention provides a system for selecting a site for a grid-type energy storage power station in a high altitude area, characterized in that it includes:

[0044] A data acquisition module is used to obtain the power of each node and the working time of each node of the energy storage power station;

[0045] A load calculation module, used to perform a ratio calculation based on the power of each node and the working time of each node to obtain a load ratio;

[0046] A power loss calculation module, used to calculate line loss according to the load ratio to obtain line loss power;

[0047] A charging efficiency calculation module, used to compare the values ​​according to the line power loss to obtain an average loss value and a charging efficiency;

[0048] An energy consumption calculation module, used to perform calculations based on the average loss value and the charging efficiency to obtain line energy consumption;

[0049] The scheme determination module is used to perform an iterative analysis operation on the line loss value according to the line energy consumption and the power of each node, and determine the site selection scheme when the line loss value reaches the minimum value as the optimal site selection scheme.

[0050] In a third aspect, the present invention further provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute any one of the above-mentioned methods for site selection of a grid-type energy storage power station in a high-altitude area.

[0051] Compared with the prior art, the present invention has the following beneficial effects:

[0052] The present invention first obtains the power and working time of each node of the energy storage power station, and these data can be obtained through a smart meter or a power measurement device. Next, the present invention calculates the load ratio based on these data, that is, the ratio of the power of each node to the total power. Then, the present invention calculates the line loss according to the load ratio, and uses the calculation formula of active power loss and reactive power loss to obtain the line loss power. Subsequently, the present invention compares the line loss power numerically, finds the maximum loss value, and evaluates it in combination with the charging efficiency. With the maximum loss value and the charging efficiency, combined with the unit resistance on the wire, the line energy consumption value is obtained by the calculation formula of the total energy consumption of the line. Combined with the line energy consumption and the power of each node, the line length is allocated to determine the site selection plan of the power station. The present invention provides a method and system for site selection of a grid-type energy storage power station in a high-altitude area to improve the operating efficiency of the energy storage power station, reduce line energy consumption, and consider the impact of special climatic conditions in high-altitude areas on the operating efficiency of the energy storage power station. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a schematic flow chart of a method for site selection of a grid-type energy storage power station in a high altitude area provided by the first embodiment of the present invention;

[0054] Figure 2 It is a schematic diagram of the system structure for site selection of a grid-type energy storage power station in a high altitude area provided by the second embodiment of the present invention. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] At present, the grid-connected energy storage power station is a kind of energy storage system that can actively participate in grid regulation and provide stable power supply. It compensates participants who respond on the demand side through two-way regulation, which can improve user dispatchability, improve the self-healing and active management level of the distribution network, and improve the flexibility of grid dispatching and operation control. It plays an important role in renewable energy grid connection, grid peak and valley regulation, and emergency backup.

[0057] In one existing technology, the site selection planning of grid-type energy storage power stations is a key research direction. Improper site selection of energy storage power stations will affect their operating efficiency and waste investment. When optimizing the planning, various factors need to be considered, such as power standards, terrain conditions, grid operation, power load, etc. For high-altitude areas, climate conditions, air density, high and low temperature characteristics, photovoltaics, air humidity, etc., have a great impact on the operating efficiency of energy storage stations. The climatic conditions in high-altitude areas will affect the use of energy storage systems and even damage them. The air density in high-altitude areas is only 0.8-0.85kg / m3, which is much lower than 1.225kg / m3 at sea level. As the air density decreases and the air becomes thinner, power transmission in high-altitude areas will face more severe tests.

[0058] When high-voltage transmission lines pass through low-altitude, high- and steep-mountain areas, the temperature difference at different altitudes will be large due to the different convection intensities between high-altitude and low-altitude areas, thus generating vertical convection. The presence of convection wind will enhance thermal convection in the vertical direction, causing changes in the thermal balance on the transmission line and increasing the temperature of the line.

[0059] In order to solve the above problems, a monitoring method for a building curtain wall provided by the present invention will be introduced and explained in detail through the following specific embodiments.

[0060] Reference Figure 1 The first embodiment of the present invention provides a method for selecting a site for a grid-type energy storage power station in a high altitude area, comprising the following steps:

[0061] S11, obtaining the power of each node and the working time of each node of the energy storage power station;

[0062] S12, performing a ratio calculation according to the power of each node and the working time of each node to obtain a load ratio;

[0063] S13, calculating line loss according to the load ratio to obtain line loss power;

[0064] S14, performing numerical comparison according to the line power loss to obtain an average power loss value and a charging efficiency;

[0065] S15, performing calculations based on the average loss value and the charging efficiency to obtain line energy consumption;

[0066] S16, performing an iterative analysis operation on the line loss value according to the line energy consumption and the power of each node, and determining the site selection scheme when the line loss value reaches the minimum value as the optimal site selection scheme.

[0067] It should be noted that the power of each node of the energy storage power station is obtained by using an electric energy meter, which can be used to measure the power value on each branch. Specifically, the power measurement function of the electric energy meter is mainly reflected in its ability to monitor and record the active power and reactive power in the electric energy consumption in real time, and to determine the active power by calculating the product of the effective values ​​of the current and the voltage, while measuring the reactive power related to the magnetic field energy exchange, and then calculating the power factor, providing a billing basis for power suppliers and providing data support for users' energy saving and electricity management.

[0068] For example, the electric energy meter in this embodiment is a single-phase electric energy meter, which is used to measure the electric energy consumption in a single-phase circuit. The selected model is DD862-2. The measurement accuracy of the DD862-2 electric energy meter is at a medium level, which is suitable for measuring general household and commercial electricity consumption. In practical applications, an electric energy meter with a level 2 accuracy level can meet the needs of most electricity usage occasions and ensure accurate measurement of electric energy consumption.

[0069] The present invention first obtains the power and working time of each node of the energy storage power station, and these data can be obtained through a smart meter or a power measurement device. Next, the present invention calculates the load ratio based on these data, that is, the ratio of the power of each node to the total power. Then, the present invention calculates the line loss according to the load ratio, and uses the calculation formula of active power loss and reactive power loss to obtain the line loss power. Subsequently, the present invention compares the line loss power numerically, finds the maximum loss value, and evaluates it in combination with the charging efficiency. With the maximum loss value and the charging efficiency, combined with the unit resistance on the wire, the line energy consumption value is obtained by the calculation formula of the total energy consumption of the line. Combined with the line energy consumption and the power of each node, the line length is allocated to determine the site selection plan of the power station. The present invention provides a method and system for site selection of a grid-type energy storage power station in a high-altitude area to improve the operating efficiency of the energy storage power station, reduce line energy consumption, and consider the impact of special climatic conditions in high-altitude areas on the operating efficiency of the energy storage power station.

[0070] In step S11, the obtaining of the power of each node and the working time of each node of the energy storage power station includes:

[0071] Obtain the voltage value and ambient temperature value of the planned energy storage power station;

[0072] Perform power calculation according to the voltage value and the ambient temperature value to obtain the power of each node;

[0073] According to the ambient temperature value, the temperature value is judged to obtain the working time of each node;

[0074] The power of each node is calculated by the following formula: , In the formula, Represents the i-th node Indicates the voltage value, Indicates the resistance value of the energy storage power station wire at standard temperature. The resistance value of pure copper wire is 1.7×10^-8 Ω·m. Indicates the temperature coefficient. For pure copper wire, it is 0.00393 / ℃. Indicates the ambient temperature, Indicates standard temperature, which is 25°C. Transmit power for the plan.

[0075] It should be noted that, based on the ambient temperature value, the temperature value is judged to obtain the working time of each node. When the ambient temperature is too harsh, it is necessary to adjust the working time of the power grid. Specifically, when the temperature is below minus 40°C, current limiting is required to meet safety requirements.

[0076] It should be further noted that the voltage value for obtaining the planned energy storage power station is determined by the user and can be 20kV, which is not specifically limited here; the ambient temperature value is measured by a thermometer.

[0077] In step S12, the load ratio is obtained by performing a proportional calculation based on the power of each node and the working time of each node, including:

[0078] According to the power of each node of the energy storage power station, numerical summation is performed to obtain the total power of the energy storage power station;

[0079] Performing weighted calculation according to the total power of the energy storage power station and the working time of each node to obtain the load ratio;

[0080] The load ratio is calculated by the following formula: , , In the formula, represents the power of the ith node, represents the working time of the i-th node, represents the load ratio of the i-th node, , Indicates the total number of nodes.

[0081] It should be noted that the total power of the energy storage station is obtained by numerically summing the power of each node of the energy storage station, which is obtained by multiplying the power of each node by the corresponding node time and then performing numerical addition calculation to finally obtain the total power.

[0082] In step S13, the line loss calculation is performed according to the load ratio to obtain the line loss power, including:

[0083] According to the temperature and voltage of the area where the energy storage power station is located, the environment is matched to obtain the power line efficiency;

[0084] According to the power line efficiency and the load ratio, combined with the efficiency of the transformer, a product operation is performed to obtain a line loss rate;

[0085] Performing a product operation according to the line loss rate and the total power of the energy storage power station to obtain the line loss power;

[0086] The efficiency of the transformer is determined by the type of transformer used.

[0087] It should be noted that according to 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:

[0088] According to the environmental conditions of temperature and pressure, the resistivity of the conductor is changed, affecting the efficiency of the power line.

[0089] It should be further explained that the effect of temperature on the resistivity of the conductor is expressed by the following formula: , In the formula, is the conductor resistivity, Indicates the resistivity at a reference temperature (usually 0°C), is the temperature coefficient of resistivity, Indicates temperature in Celsius.

[0090] It should be further noted that the line loss rate is obtained by performing a product operation based on the efficiency of the transformer, the efficiency of the power line and the load ratio, including: , In the formula, represents the line loss rate, represents the efficiency of the transformer, represents the power line efficiency,

[0091] Indicates the load ratio, where the power line efficiency is determined by the selected voltage line, such as the power line efficiency of pure copper wire is 99%.

[0092] It should be noted that the line loss power is obtained by performing a product operation based on the line loss rate and the total power of the energy storage power station, including:

[0093] Multiply the total power of the energy storage power station by the line loss rate to obtain the line loss power.

[0094] In step S14, the numerical comparison is performed according to the line power loss to obtain an average power loss value and a charging efficiency, including:

[0095] According to the line power loss, average calculation is performed to obtain an average loss value;

[0096] According to the line power loss and the charging parameters of the power storage station, data multiplication operation is performed to obtain the charging efficiency.

[0097] It should be noted that the average value calculation is performed according to the line loss power to obtain the average loss value; including:

[0098] According to the power loss values ​​of the lines, numerical sum is performed to obtain a total power loss value, and the total power loss value is divided by the number of nodes planned to be established to obtain an average loss value.

[0099] It should be noted that the data multiplication operation is performed according to the line loss power and the charging parameters of the power storage station to obtain the charging efficiency, including:

[0100] The charging parameters of the energy storage station are determined by the type of energy storage station established, involving aspects such as installed capacity, rated charge and discharge power, and electrochemical energy storage characteristics, and can be set by the user and can be 98%, which is reasonable and is not specifically limited here.

[0101] In step S15, the calculation is performed according to the average loss value and the charging efficiency to obtain the line energy consumption, including:

[0102] According to the charging efficiency, converting the charging and discharging efficiency to obtain the output efficiency of the energy storage power station;

[0103] According to the output efficiency of the energy storage power station and the average loss value, a data multiplication operation is performed to obtain the line energy consumption.

[0104] It should be noted that the charging and discharging efficiency conversion is performed according to the charging efficiency to obtain the output efficiency of the energy storage power station, including: illustratively, according to the power charging and discharging efficiency conversion system and the market PCS (energy storage inverter) production situation, the conversion efficiency from the charging efficiency to the output efficiency of the energy storage power station is converted to 98.5%.

[0105] It should be noted that, according to the output efficiency of the energy storage power station and the average loss value, data multiplication operation is performed to obtain the line energy consumption, and the line energy consumption is obtained by multiplying the output efficiency of the energy storage power station by the average loss value.

[0106] The step S16 of performing an iterative analysis operation of the line loss value according to the line energy consumption and the power of each node, and determining the site selection scheme when the line loss value reaches the minimum value as the optimal site selection scheme, includes:

[0107] According to the line energy consumption and the power of each node, power allocation is performed to obtain the starting power value of each node;

[0108] According to the power values ​​of the starting ends of the nodes, numerical comparison is performed to obtain the maximum power of the line;

[0109] According to 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;

[0110] According to the distance between the energy storage power station and each node, numerical iteration is performed, and when the line loss value reaches the minimum value, it is determined that the site selection scheme at this time is the optimal site selection scheme.

[0111] It should be noted that the distance between the energy storage power station and each node is obtained based on the maximum power of the line and the unit resistance of the line between the energy storage power station and each node, including:

[0112] The distance between the energy storage power station and each node is calculated using the following formula: , In the formula, is the line unit resistance between the energy storage station and node i, is the distance between the energy storage power station and node i.

[0113] It should be noted that the distance calculation is performed based on the distance between the energy storage power station and each node to obtain the optimal addressing solution, including:

[0114] According to the distance between the energy storage power station and each node, numerical iteration is performed to obtain the line loss value of energy consumption;

[0115] A numerical judgment is performed based on the line loss value, and when the line loss value reaches the minimum value, it is determined that the site selection scheme at this time is the most optimal site selection scheme.

[0116] It should be further explained that the numerical iteration is calculated by the following formula: , In the formula, represents the energy consumption of the i-th branch development, is the load ratio of the i-th branch, is the working time of the i-th branch, is the loss value of the ith line; by transforming The minimum value of the total line loss is obtained at the distance in different directions, and this is then determined as the final site selection plan.

[0117] It should be further explained that the total line loss value is the sum of all line loss values.

[0118] Compared with the prior art, the present invention has the following beneficial effects:

[0119] The present invention provides a method and system for site selection of a grid-type energy storage power station in a high-altitude area. The method is executed by a controller, and includes: obtaining the power of each node and the working time of each node of the energy storage power station; performing proportional calculation according to the power of each node and the working time of each node to obtain the 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 calculation according to the average loss value and the charging efficiency to obtain line energy consumption; performing iterative analysis operation of line loss value according to the line energy consumption and the power of each node, and when the line loss value reaches a minimum value, determining that the site selection scheme at this time is the optimal site selection scheme.

[0120] The present invention first obtains the power and working time of each node of the energy storage power station, and these data can be obtained through a smart meter or a power measurement device. Next, the present invention calculates the load ratio based on these data, that is, the ratio of the power of each node to the total power. Then, the present invention calculates the line loss according to the load ratio, and uses the calculation formula of active power loss and reactive power loss to obtain the line loss power. Subsequently, the present invention compares the line loss power numerically, finds the maximum loss value, and evaluates it in combination with the charging efficiency. With the maximum loss value and the charging efficiency, combined with the unit resistance on the wire, the line energy consumption value is obtained by the calculation formula of the total energy consumption of the line. Combined with the line energy consumption and the power of each node, the line length is allocated to determine the site selection plan of the power station. The present invention provides a method and system for site selection of a grid-type energy storage power station in a high-altitude area to improve the operating efficiency of the energy storage power station, reduce line energy consumption, and consider the impact of special climatic conditions in high-altitude areas on the operating efficiency of the energy storage power station.

[0121] In order to facilitate the understanding of the present invention, some preferred embodiments of the present invention are further described below.

[0122] In this embodiment, a high-altitude grid-type energy storage power station site selection device is proposed, and the device consists of the following key parts: data acquisition module, load calculation module, loss power calculation module, charging efficiency calculation module, energy consumption calculation module, solution determination module, and system control center module. Among them, the data acquisition module is responsible for collecting the power and working time of each node of the energy storage power station, as well as the voltage value and ambient temperature value; the load calculation module calculates the load ratio according to the power and working time of each node; the loss power calculation module calculates the line loss power according to the load ratio and environmental parameters (such as temperature and voltage); the charging efficiency calculation module calculates the average loss value and charging efficiency according to the line loss power and the charging parameters of the energy storage power station; the energy consumption calculation module calculates the line energy consumption according to the average loss value and charging efficiency; the solution determination module performs iterative analysis of the line loss value according to the line energy consumption and the power of each node. When the line loss value reaches the minimum value, it is determined that the site selection plan at this time is the optimal site selection plan.

[0123] The scheme is executed by the following steps:

[0124] Step 1: Obtain the power of each node and the working time of each node of the energy storage power station, including voltage value and ambient temperature value, to provide basic data for subsequent load ratio calculation and line loss analysis, and provide accurate power demand and working characteristics of each node.

[0125] Step 2: Calculate the proportion of each node’s power and working time to get the load proportion. By applying the load proportion algorithm, based on the characteristics of the power load, the power load is allocated in a certain proportion to achieve the balance of supply and demand of the power system.

[0126] Step 3: Calculate the line loss based on the load ratio and environmental parameters to obtain the line loss power. Calculate the line loss by considering the effect of temperature on the conductor resistance and the calculation of the line active power loss.

[0127] Step 4: Compare the values ​​based on the line power loss to obtain the average loss value and charging efficiency. The average loss value is obtained by analyzing the line power loss and calculating the mean value, and the charging efficiency is calculated by considering the charging parameters of the energy storage power station.

[0128] 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 the charge and discharge efficiency conversion algorithm combined with the average loss value.

[0129] Step 6: Perform iterative analysis of line loss values ​​based on line energy consumption and the power of each node. When the line loss value reaches the minimum, the site selection scheme at this time is determined to be the optimal site selection scheme. The maximum power of the line is determined through power allocation and numerical comparison, and then the distance between the energy storage power station and each node is calculated in combination with the unit resistance, and the optimal site selection scheme is finally determined.

[0130] Compared with the prior art, the present invention has the following beneficial effects:

[0131] The present invention provides a method and system for site selection of a grid-type energy storage power station in a high-altitude area. The method is executed by a controller, and includes: obtaining the power of each node and the working time of each node of the energy storage power station; performing proportional calculation according to the power of each node and the working time of each node to obtain the 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 calculation according to the average loss value and the charging efficiency to obtain line energy consumption; performing iterative analysis operation of line loss value according to the line energy consumption and the power of each node, and when the line loss value reaches a minimum value, determining that the site selection scheme at this time is the optimal site selection scheme.

[0132] The present invention first obtains the power and working time of each node of the energy storage power station, and these data can be obtained through a smart meter or a power measurement device. Next, the present invention calculates the load ratio based on these data, that is, the ratio of the power of each node to the total power. Then, the present invention calculates the line loss according to the load ratio, and uses the calculation formula of active power loss and reactive power loss to obtain the line loss power. Subsequently, the present invention compares the line loss power numerically, finds the maximum loss value, and evaluates it in combination with the charging efficiency. With the maximum loss value and the charging efficiency, combined with the unit resistance on the wire, the line energy consumption value is obtained by the calculation formula of the total energy consumption of the line. Combined with the line energy consumption and the power of each node, the line length is allocated to determine the site selection plan of the power station. The present invention provides a method and system for site selection of a grid-type energy storage power station in a high-altitude area to improve the operating efficiency of the energy storage power station, reduce line energy consumption, and consider the impact of special climatic conditions in high-altitude areas on the operating efficiency of the energy storage power station.

[0133] In order to facilitate the understanding of the present invention, some preferred embodiments of the present invention are further described below.

[0134] Reference Figure 2 The second embodiment of the present invention provides a system for selecting a site for a grid-type energy storage power station in a high altitude area, comprising:

[0135] A data acquisition module is used to obtain the power of each node and the working time of each node of the energy storage power station;

[0136] A load calculation module, used to perform a ratio calculation based on the power of each node and the working time of each node to obtain a load ratio;

[0137] A power loss calculation module, used to calculate line loss according to the load ratio to obtain line loss power;

[0138] A charging efficiency calculation module, used to compare the values ​​according to the line power loss to obtain an average loss value and a charging efficiency;

[0139] An energy consumption calculation module, used to perform calculations based on the average loss value and the charging efficiency to obtain line energy consumption;

[0140] The scheme determination module is used to perform an iterative analysis operation on the line loss value according to the line energy consumption and the power of each node, and determine the site selection scheme when the line loss value reaches the minimum value as the optimal site selection scheme.

[0141] In one embodiment, the data acquisition module is used to acquire the power of each node and the working time of each node of the energy storage power station, including:

[0142] Obtain the voltage value and ambient temperature value of the planned energy storage power station;

[0143] Perform power calculation according to the voltage value and the ambient temperature value to obtain the power of each node;

[0144] According to the ambient temperature value, the temperature value is judged to obtain the working time of each node;

[0145] The power of each node is calculated by the following formula: , In the formula, Represents the i-th node Indicates the voltage value, Indicates the resistance value of the energy storage power station wire at standard temperature. The resistance value of pure copper wire is 1.7×10^-8 Ω·m. Indicates the temperature coefficient. For pure copper wire, it is 0.00393 / ℃. Indicates the ambient temperature, Indicates standard temperature, which is 25°C. Transmit power for the plan.

[0146] It should be noted that, based on the ambient temperature value, the temperature value is judged to obtain the working time of each node. When the ambient temperature is too harsh, it is necessary to adjust the working time of the power grid. Specifically, when the temperature is below minus 40°C, current limiting is required to meet safety requirements.

[0147] In one implementation, the load calculation module is used to perform a ratio calculation based on the power of each node and the working time of each node to obtain the load ratio, including:

[0148] According to the power of each node of the energy storage power station, numerical summation is performed to obtain the total power of the energy storage power station;

[0149] Performing weighted calculation according to the total power of the energy storage power station, the power of each node and the working time of each node to obtain the load ratio;

[0150] The load ratio is calculated by the following formula: , , In the formula, represents the power of the ith node, represents the working time of the i-th node, represents the load ratio of the i-th node, Indicates total power; Indicates the total number of nodes.

[0151] It should be noted that the total power of the energy storage station is obtained by numerically summing the power of each node of the energy storage station, which is obtained by multiplying the power of each node by the corresponding node time and then performing numerical addition calculation to finally obtain the total power.

[0152] In one implementation, the power loss calculation module is used to calculate the line loss according to the load ratio to obtain the line loss power, including:

[0153] According to the temperature and voltage of the area where the energy storage power station is located, the environment is matched to obtain the power line efficiency;

[0154] According to the power line efficiency and the load ratio, combined with the efficiency of the transformer, a product operation is performed to obtain a line loss rate;

[0155] Performing a product operation according to the line loss rate and the total power of the energy storage power station to obtain the line loss power;

[0156] The efficiency of the transformer is determined by the type of transformer used.

[0157] It should be noted that the environmental matching is performed through the operating environment of the power system to obtain the power line efficiency, including:

[0158] According to the environmental conditions of temperature and pressure, the resistivity of the conductor is changed, affecting the efficiency of the power line.

[0159] It should be further explained that the effect of temperature on the resistivity of the conductor is expressed by the following formula: , In the formula, is the conductor resistivity, Indicates the resistivity at a reference temperature (usually 0°C), is the temperature coefficient of resistivity, Indicates temperature in Celsius.

[0160] In one embodiment, the charging efficiency calculation module is used to perform numerical comparison according to the line loss power to obtain an average loss value and a charging efficiency, including:

[0161] According to the line power loss, average calculation is performed to obtain an average loss value;

[0162] According to the line power loss and the charging parameters of the power storage station, data multiplication operation is performed to obtain the charging efficiency.

[0163] In one implementation, 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:

[0164] According to the charging efficiency, converting the charging and discharging efficiency to obtain the output efficiency of the energy storage power station;

[0165] According to the output efficiency of the energy storage power station and the average loss value, a data multiplication operation is performed to obtain the line energy consumption.

[0166] In one embodiment, the solution determination module is used to perform an iterative analysis operation of the line loss value according to the line energy consumption and the power of each node, and determine the site selection solution when the line loss value reaches the minimum value as the optimal site selection solution, including:

[0167] According to the line energy consumption and the power of each node, power allocation is performed to obtain the starting power value of each node;

[0168] According to the power values ​​of the starting ends of the nodes, numerical comparison is performed to obtain the maximum power of the line;

[0169] According to 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;

[0170] According to the distance between the energy storage power station and each node, a distance calculation is performed to obtain an optimal addressing solution.

[0171] The method 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:

[0172] The distance between the energy storage power station and each node is calculated using the following formula: , In the formula, is the line unit resistance between the energy storage station and node i, is the distance between the energy storage power station and node i.

[0173] The method of performing numerical iteration according to the distance between the energy storage power station and each node, and determining that the site selection scheme at this time is the optimal site selection scheme when the line loss value reaches the minimum value, includes:

[0174] The numerical iteration is performed by the following formula: , In the formula, represents the energy consumption of the i-th branch development, is the load ratio of the i-th branch, is the working time of the i-th branch, is the loss value of the ith line.

[0175] Compared with the prior art, the present invention has the following beneficial effects:

[0176] The present invention first obtains the power and working time of each node of the energy storage power station, and these data can be obtained through a smart meter or a power measurement device. Next, the present invention calculates the load ratio based on these data, that is, the ratio of the power of each node to the total power. Then, the present invention calculates the line loss according to the load ratio, and uses the calculation formula of active power loss and reactive power loss to obtain the line loss power. Subsequently, the present invention compares the line loss power numerically, finds the maximum loss value, and evaluates it in combination with the charging efficiency. With the maximum loss value and the charging efficiency, combined with the unit resistance on the wire, the line energy consumption value is obtained by the calculation formula of the total energy consumption of the line. Combined with the line energy consumption and the power of each node, the line length is allocated to determine the site selection plan of the power station. The present invention provides a method and system for site selection of a grid-type energy storage power station in a high-altitude area to improve the operating efficiency of the energy storage power station, reduce line energy consumption, and consider the impact of special climatic conditions in high-altitude areas on the operating efficiency of the energy storage power station.

[0177] It should be noted that the high-altitude grid-type energy storage power station site selection device provided in an embodiment of the present invention is used to execute all the process steps of the high-altitude grid-type energy storage power station site selection method of the above embodiment. The working principles and beneficial effects of the two correspond one to one, and therefore will not be repeated here.

[0178] An embodiment of the present invention further 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, the steps in the above-mentioned method for selecting a site for a grid-type energy storage power station in a high-altitude area are implemented, such as Figure 1 Alternatively, when the processor executes the computer program, the functions of each module / unit in the above-mentioned device embodiments are realized, such as the load calculation module.

[0179] Exemplarily, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, which are used to describe the execution process of the computer program in the electronic device.

[0180] The electronic device may be a computing device such as a desktop computer, a notebook, a PDA, and a smart tablet. The electronic device may include, but is not limited to, a processor and a memory. Those skilled in the art will appreciate that the above components are merely examples of electronic devices and do not constitute a limitation on the electronic device. The electronic device may include more or fewer components than the above components, or may combine certain components, or different components. For example, the electronic device may also include input and output devices, network access devices, buses, etc.

[0181] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the electronic device, and uses various interfaces and lines to connect various parts of the entire electronic device.

[0182] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the electronic device by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0183] Wherein, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased 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 electric carrier signals and telecommunication signals.

[0184] It should be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0185] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for site selection of a grid-type energy storage power station in a high altitude area, characterized in that: include: Obtain the power and working time of each node of the energy storage power station; Performing a proportional calculation based on the power of each node and the working time of each node to obtain a load ratio; Calculating line loss according to the load ratio to obtain line loss power; According to the line power loss, a numerical comparison is performed to obtain an average power loss value and a charging efficiency; Performing calculations based on the average loss value and the charging efficiency to obtain line energy consumption; According to the line energy consumption and the power of each node, an iterative analysis operation of the line loss value is performed, and the site selection scheme when the line loss value reaches the minimum value is determined as the optimal site selection scheme.

2. The method for site selection of a grid-type energy storage power station in high altitude areas according to claim 1, characterized in that: The obtaining of the power of each node and the working time of each node of the energy storage power station includes: Obtain the voltage value and ambient temperature value of the planned energy storage power station; Perform power calculation according to the voltage value and the ambient temperature value to obtain the power of each node; According to the ambient temperature value, the temperature value is judged to obtain the working time of each node; The power of each node is calculated by the following formula: ， In the formula, represents the power of the ith node, Indicates the voltage value, Indicates the resistance value of the energy storage power station wire at standard temperature. represents the temperature coefficient, Indicates the ambient temperature, Indicates standard temperature, Transmit power for the plan.

3. The method for site selection of a grid-type energy storage power station in high altitude areas according to claim 1, characterized in that: The performing proportional calculation according to the power of each node and the working time of each node to obtain the load proportion includes: According to the power of each node of the energy storage power station, numerical summation is performed to obtain the total power of the energy storage power station; Performing weighted calculation according to the total power of the energy storage power station, the power of each node and the working time of each node to obtain the load ratio; The load ratio is calculated by the following formula: ， ， In the formula, represents the power of the ith node, represents the working time of the i-th node, represents the load ratio of the i-th node, Indicates total power; Indicates the total number of nodes.

4. The method for site selection of a grid-type energy storage power station in high altitude areas according to claim 1, characterized in that: The calculating line loss according to the load ratio to obtain line loss power includes: According to the temperature and voltage of the area where the energy storage power station is located, the environment is matched to obtain the power line efficiency; According to the power line efficiency and the load ratio, combined with the efficiency of the transformer, a product operation is performed to obtain a line loss rate; Performing a product operation according to the line loss rate and the total power of the energy storage power station to obtain the line loss power; The efficiency of the transformer is determined by the type of transformer used.

5. The method for site selection of a grid-type energy storage power station in high altitude areas according to claim 1, characterized in that: The method of comparing the values ​​of the line power loss to obtain the average power loss value and the charging efficiency includes: According to the line power loss, average calculation is performed to obtain an average loss value; According to the line power loss and the charging parameters of the power storage station, data multiplication operation is performed to obtain the charging efficiency.

6. The method for site selection of a grid-type energy storage power station in high altitude areas according to claim 1, characterized in that: The performing calculation according to the average loss value and the charging efficiency to obtain the line energy consumption includes: According to the charging efficiency, converting the charging and discharging efficiency to obtain the output efficiency of the energy storage power station; According to the output efficiency of the energy storage power station and the average loss value, a data multiplication operation is performed to obtain the line energy consumption.

7. The method for site selection of a grid-type energy storage power station in high altitude areas according to claim 1, characterized in that: The iterative analysis operation of the line loss value is performed according to the line energy consumption and the power of each node, and the site selection scheme when the line loss value reaches the minimum value is determined as the optimal site selection scheme, including: According to the line energy consumption and the power of each node, power allocation is performed to obtain the starting power value of each node; According to the power values ​​of the starting ends of the nodes, numerical comparison is performed to obtain the maximum power of the line; According to 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; According to the distance between the energy storage power station and each node, numerical iteration is performed, and 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 method 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, is the line unit resistance between the energy storage station and node i, is the distance between the energy storage power station and node i.

8. The method for site selection of a grid-type energy storage power station in high altitude areas according to claim 7, characterized in that: The performing numerical iteration according to the distance between the energy storage power station and each node includes: The numerical iteration is performed by the following formula: ， In the formula, represents the energy consumption of the i-th branch development, is the load ratio of the i-th branch, is the working time of the i-th branch, is the loss value of the ith line.

9. A system for selecting a site for a grid-type energy storage power station in a high altitude area, characterized in that: include: A data acquisition module is used to obtain the power of each node and the working time of each node of the energy storage power station; A load calculation module, used to perform a ratio calculation based on the power of each node and the working time of each node to obtain a load ratio; A power loss calculation module, used to calculate line loss according to the load ratio to obtain line loss power; A charging efficiency calculation module, used to compare the values ​​according to the line power loss to obtain an average loss value and a charging efficiency; An energy consumption calculation module, used to perform calculations based on the average loss value and the charging efficiency to obtain line energy consumption; The scheme determination module is used to perform an iterative analysis operation on the line loss value according to the line energy consumption and the power of each node, and determine the site selection scheme when the line loss value reaches the minimum value as the optimal site selection scheme.

10. 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, the device where the computer-readable storage medium is located is controlled to execute a method for selecting a site for a grid-type energy storage power station in a high-altitude area as described in any one of claims 1 to 8.

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