Energy optimization management system and method of optical storage direct-flexible integrated system

Abstract

The invention provides an energy optimization management system of an optical storage direct-current flexible integrated system, and relates to the technical field of optical storage direct-current flexible management, the energy optimization management system comprises an energy network total power distribution system, a plurality of regional power distribution systems and a plurality of optical storage flexible direct-current energy quantum stations, the energy network total power distribution system comprises a power distribution processing module, an optimization selection module and a threshold setting module, a macro base station A is configured in the regional power distribution system, and a macro base station B is configured in the optical storage flexible direct energy quantum station; the technical key points are as follows: by selecting one of a plurality of light-storage direct-flexible energy quantum stations with the smallest distance from a target area power distribution system for power supply, the effect of nearby power supply of the light-storage direct-flexible energy quantum stations can be achieved, and meanwhile, when the product difference of the length of a plurality of power supply lines and the unit power supply loss is greater than an energy loss allowable threshold N, the power supply line is switched off. The optical storage direct flexible energy quantum station with a long power supply line can be selected to supply power to a power distribution system in a target area, loss caused in the power transmission process is reduced to the maximum extent, and the effect of optimizing power transmission and use is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of light storage direct flexible management, and particularly relates to an energy optimization management system and method of a light storage direct flexible integrated system. BACKGROUND

[0002] Light storage direct flexibility is a term for the application of four technologies, namely, solar photovoltaic, energy storage, direct current distribution and flexibility, in the field of buildings. Light storage direct flexibility is an important pillar for the development of zero-carbon energy and is conducive to direct consumption of wind power and photovoltaic power.

[0003] The "light" in light storage direct flexibility refers to solar photovoltaic technology. Solar photovoltaic power generation is one of the main renewable power sources in the future, and the huge external surface of buildings is a spatial resource for the development of distributed photovoltaics.

[0004] The "storage" in light storage direct flexibility refers to energy storage technology. Battery energy storage technology has the advantages of fast response speed, high efficiency and low requirements for installation and maintenance. Emergency power supplies and uninterruptible power supplies in buildings have generally adopted electrochemical energy storage.

[0005] The "direct" in light storage direct flexibility refers to direct current technology. Compared with alternating current, direct current has the characteristics of simple form, easy control and high transmission efficiency, and is widely used in special systems such as aviation, communication and ships. In buildings, the purpose of using direct current power supply systems is to take advantage of the simple and easy-to-control characteristics of direct current to facilitate the flexible and efficient connection and regulation of distributed power sources such as photovoltaics and energy storage, and to realize large-scale building applications of renewable energy. At the same time, by taking advantage of the safety of low-voltage direct current, an intrinsically safe power environment is created.

[0006] The "flexible" in light storage direct flexibility refers to flexible power technology. Flexibility refers to the ability to actively change the power taken from the municipal power grid. Traditional building energy supply mainly solves the relationship between power supply and building energy use, while flexibility solves the coordination of power supply, distributed photovoltaics, energy storage and building energy use. Developing flexible technology is of great significance to solve the problem of peak power load and to match the form of high-proportion renewable power generation in the future.

[0007] The energy regulation method in the power system mainly relies on manual experience for energy allocation in the early stage. This method is extensive and inefficient. With the development of computer technology, various models such as linear programming, dynamic programming, and expert systems have emerged. This method can perform multi-time scale economic dispatch and improve the optimization level of regulation. With the progress of artificial intelligence technology, various intelligent optimization algorithms such as genetic algorithm, particle swarm optimization, deep learning, and alternating direction method of multipliers (ADMM) are widely used in energy regulation. This method can handle complex constraints and find better solutions.

[0008] The patent document with publication number CN119340952A discloses a kind of light storage direct flexible full direct current energy network and its energy optimization scheduling method. Multiple light storage direct flexible energy sub-stations are interconnected in sequence through circuit breakers and interconnected with full direct current energy network general distribution cabinet. The optimal control strategy formulated by full direct current energy network management system can realize direct energy interaction between each light storage direct flexible energy sub-station, and also realize energy interaction between each light storage direct flexible energy sub-station and full direct current energy network general distribution cabinet. Energy interconnection between adjacent light storage direct flexible systems is realized, and the utilization efficiency and flexible regulation capacity of renewable energy of light storage direct flexible system are improved. The electrolysis water hydrogen production system and hydrogen fuel cell power generation system adjust the full direct current energy network during peak and valley periods, separate the light storage direct flexible system from the alternating current power grid, avoid affecting the power grid during peak and valley periods, and convert green hydrogen into electrical energy in the whole process of hydrogen fuel cell power generation system. No carbon monoxide and carbon dioxide are produced, and the light storage direct flexible system achieves zero carbon emission in a true sense.

[0009] However, in the process of implementing the above technical solutions, it is found that the above technical solutions have the following technical problems:

[0010] The optimal control strategy formulated by the full direct current energy network management system of the light storage direct flexible full direct current energy network and its energy optimization scheduling method can realize direct energy interaction between each light storage direct flexible energy sub-station, and also realize energy interaction between each light storage direct flexible energy sub-station and full direct current energy network general distribution cabinet. The flexible regulation capacity of energy can be improved, but for actual photovoltaic power systems, due to different construction times and different distances from the same power consumption area, it is easy to cause large span power transmission and result in more loss. In the case of limited power production, the application efficiency of photovoltaic power is greatly reduced. SUMMARY

[0011] In order to overcome the existing light storage direct flexible full direct current energy network and its energy optimization scheduling method is limited by the construction time, the distance of the same power supply area, and the position of the power supply area, which is easy to cause large span power transmission and bring more loss, in the case of original power production limitation, which greatly reduces the application efficiency of photovoltaic power, the embodiment of the application provides a kind of energy optimization management system and method of light storage direct flexible integrated system, by selecting the minimum one of the distance between multiple light storage direct flexible energy sub-stations and target area power distribution system for power supply, the effect of light storage direct flexible energy sub-station near power supply can be achieved, at the same time, when the product difference of multiple power supply line length and unit power supply loss is greater than the energy loss allowable threshold N, the light storage direct flexible energy sub-station with longer power supply line can be selected to supply power to the target area power distribution system, which maximizes the loss caused by power transmission.

[0012] The technical solution adopted by the embodiment of the application to solve the technical problems is:

[0013] An energy optimization management system of a light storage direct flexible integrated system, comprising an energy network total power distribution system, a regional power distribution system and a light storage direct flexible energy sub-station, the regional power distribution system is provided with multiple, and is connected with the energy total power distribution system through a circuit breaker;

[0014] The light storage direct flexible energy sub-station is provided with multiple;

[0015] The energy network total power distribution system comprises a power distribution processing module, an optimization selection module and a threshold setting module, the regional power distribution system is configured with a macro base station A, and the light storage direct flexible energy sub-station is configured with a macro base station B;

[0016] The power distribution processing module is used to calculate the distance between the position of the power supply area and the position of the multiple energy sub-stations, and the energy loss state of power transmission in the independent transmission line;

[0017] The threshold setting module is used to set the upper limit value of the energy loss in the light storage direct flexible energy sub-station across the regional power distribution system according to the energy loss of power transmission in unit distance;

[0018] The optimization selection module is used to configure the light storage direct flexible energy sub-station on a single regional power distribution system for power supply, and coordinate multiple light storage direct flexible energy sub-stations for power distribution work between multiple regional power distribution systems;

[0019] The macro base station A and the macro base station B respectively perform network coverage on the regional power distribution system and the light storage direct flexible sub-station, and perform network communication between the two;

[0020] Among them, multiple light storage direct flexible energy sub-stations are connected with multiple regional power distribution systems through circuit breakers in a network state, and at least two light storage direct flexible energy sub-stations are connected on a regional power distribution system.

[0021] In a possible implementation, each of the plurality of light storage flexible energy quantum stations comprises a photovoltaic power generation unit, an electrochemical energy storage device, and an energy management unit.

[0022] In the calculation and prediction of the photovoltaic power generation state by using the photovoltaic power generation unit, without considering the influence of factors such as dust and aging, the maximum power point (MPP) model is used to calculate the power generation power, specifically as follows:

[0023]

[0024] wherein P max is the actual maximum power, P max，mic is the maximum power under standard test conditions (W), β p is the maximum power temperature coefficient (usually about -0.0045 / W℃);

[0025] After power generation by using the photovoltaic power generation unit, the electrochemical energy storage device is used for short-term energy management, specifically as follows:

[0026]

[0027] wherein V b is the battery terminal voltage, E is the open circuit voltage (related to SOC), I b is the charge and discharge current (negative for charging and positive for discharging), R0 is the ohmic resistance, R1 and C1 are the polarization resistance and capacitance;

[0028] The energy management unit provides electrical energy for the target object in the form of direct current supply and the form of converting direct current into alternating current by using an inverter according to the demand of the actual power consumption device and the demand of the regional power distribution system.

[0029] In a possible implementation, when the regional power distribution system is taken as the original point, the geographic location coordinates of the macro base station A corresponding to the regional power distribution system are marked as P0(x0, y0, h0), and the geographic location coordinates of the light storage flexible energy quantum station marked by the macro base station B are marked as P1(x1, y1, h1). For a plurality of light storage flexible energy quantum stations, the geographic location coordinates can be marked as P n ((x1, x2, …, x n ), (y1, y2, …, y n ), (h1, h2, …, h n ));

[0030] wherein x and y respectively represent the longitude and latitude values in the geographic coordinate system, and h represents the altitude value in the geographic coordinate system.

[0031] In a possible implementation, the power distribution processing module calculates the straight-line distance between the regional power distribution system and the optical storage flexible direct energy quantum station through the geographical position of the macro base station A and the geographical position of the macro base station B, and synchronously calculates the distance between at least two optical storage flexible direct energy quantum stations and the regional power distribution system, specifically as follows:

[0032]

[0033] Wherein, d1, d2, …, d n The absolute value of the difference between each other, and compare with each other.

[0034] In a possible implementation, the power distribution processing module calculates the energy loss according to the line material for different regional power distribution systems, different optical storage flexible direct energy quantum stations, and different regional power distribution systems and the energy network total power distribution system, specifically as follows:

[0035] In a three-phase alternating current system, the three-line resistance is R, the three-phase active power delivered is P, the line voltage is U, and the power factor is Then:

[0036] Line current:

[0037]

[0038] Three-phase total resistance loss:

[0039]

[0040] In a possible implementation, the optimization selection module sets an allowed threshold value N for energy loss in the process of selecting an optical storage flexible direct energy quantum station to supply power for a regional power distribution system, in the form of the absolute value of the difference between d1, d2, …, d n The absolute value of the difference between each other, and compare with each other.

[0041] In a possible implementation, the threshold setting module, when calculating the energy loss allowable threshold N, records the basic value of energy loss per unit distance of the transmission line between the different light storage and flexible energy sub-stations and the single regional power distribution system as A, records the additional energy loss value caused by the distance difference between the different light storage and flexible energy sub-stations and the single regional power distribution system as B, records the basic value of energy loss per unit distance of the transmission line between the total energy grid and the regional power distribution system as C, records the distance difference between the transmission line between the total energy grid and the regional power distribution system and the nearest light storage and flexible energy sub-station and the single regional power distribution system as D, and obtains the energy loss allowable threshold N by using the following calculation method:

[0042] Energy loss case one: | minimum energy loss difference B - basic value of transmission line energy loss A * distance difference|;

[0043] Energy loss case two: | C * A - D * A|;

[0044] Wherein, the energy loss case one and the energy loss case two are compared, and the smaller value is selected as the energy loss allowable threshold N.

[0045] In a possible implementation, the total energy grid obtains the positions of the power consumption areas and the light storage and flexible energy sub-stations according to the historical power consumption recorded in the regional power distribution system, calculates the distances between the positions of the power consumption areas and the positions of the light storage and flexible energy sub-stations and the energy loss limited by the transmission path in the power transmission process, thereby setting the upper limit value of the allowable energy loss, calculates the maximum difference between each light storage and flexible energy sub-station and the nearest regional power distribution system, and selects the light storage and flexible energy sub-station for supplying power to the power consumption area.

[0046] In a possible implementation, the historical power consumption recorded in the power distribution system is combined with a linear regression model to predict the current regional power consumption, specifically as follows:

[0047] E = β0 + β1X1 + β2X2 + … + β n X n + ε;

[0048] Wherein, E is the total power demand; X1, X2, …, X n are influencing factors (such as the number of family members, the number of air conditioning units, the temperature, etc.); β0 is a constant term; β1, β2, …, β n are regression coefficients; and ε is a random error term.

[0049] An energy optimization management method of a light storage and flexible integrated system, comprising

[0050] S1: according to the regional historical power consumption, the power consumption of the region in the new period is predicted;

[0051] S2: the geographical positions of the regional power distribution systems and the plurality of light storage direct flexible energy sub-stations are obtained;

[0052] S3: the energy unit loss of the lines between different regional power distribution systems, different light storage direct flexible energy sub-stations, and different regional power distribution systems and the total power distribution system of the energy network is calculated;

[0053] S4: the distance between at least two light storage direct flexible energy sub-stations and the same regional power distribution system, and the distance between the total power distribution system of the energy network and the regional power distribution system is calculated;

[0054] S5: the energy loss corresponding to the distance difference between the plurality of light storage direct flexible energy sub-stations and the same regional power distribution system, and the energy loss between the light storage direct flexible energy sub-station and the regional power distribution system and the energy loss between the total power distribution system of the energy network and the regional power distribution system is calculated;

[0055] S6: the light storage direct flexible energy sub-station supplying power to the power consumption region is selected to supply power, or the light storage direct flexible energy sub-station and the total power distribution system of the energy network cooperate to supply power.

[0056] The beneficial effects of the present application are:

[0057] First, in the present scheme, by selecting the one with the minimum distance between the plurality of light storage direct flexible energy sub-stations and the target regional power distribution system for power supply, the effect of nearby power supply of the light storage direct flexible energy sub-station can be achieved. When the product difference of the length of the plurality of power supply lines and the unit power supply loss is greater than the energy loss allowable threshold N, the light storage direct flexible energy sub-station with longer power supply line can be selected to supply power to the target regional power distribution system, thereby minimizing the loss in the power transmission process;

[0058] Second, in the present scheme, when the plurality of target regional power distribution systems cannot meet the power consumption demand of the plurality of target regional power distribution systems, the total power distribution system of the energy network supplies power to the nearest one or several scattered power distribution systems based on the reference of the energy loss allowable threshold N, and the plurality of light storage direct flexible energy sub-stations supply power to the plurality of target regional power distribution systems in cooperation with each other, which can shorten the distance between the power supply end and the power consumption end to the greatest extent, reduce the loss of electric energy in the transmission process, and achieve the effect of optimizing the use of power transmission. BRIEF DESCRIPTION OF DRAWINGS

[0059] Figure 1 It is a schematic diagram of the frame structure of the energy optimization management system of the light storage direct flexible integrated system of the present application;

[0060] Figure 2A component connection schematic diagram of an energy optimization management system of a light storage direct flexible integrated system according to the present application;

[0061] Figure 3 A position schematic diagram of a macro base station in an energy optimization state of an energy optimization management system of a light storage direct flexible integrated system according to the present application;

[0062] Figure 4 A running logic flow schematic diagram of an energy optimization management system of a light storage direct flexible integrated system according to the present application;

[0063] Figure 5 A step diagram of an energy optimization management method of a light storage direct flexible integrated system according to the present application. DETAILED DESCRIPTION

[0064] The technical solution in the embodiments of the present application is to solve the problems in the above background art, and the general idea is as follows:

[0065] Embodiment 1

[0066] This embodiment introduces the specific structure of an energy optimization management system and method of a light storage direct flexible integrated system, and specifically refers to Figures 1-5 as shown, including an energy network total power distribution system, a plurality of regional power distribution systems and a plurality of light storage direct flexible energy sub-stations connected to the energy network total power distribution system through circuit breakers, the energy network total power distribution system including a power distribution processing module, an optimization selection module and a threshold setting module, the regional power distribution system is configured with a macro base station A, the light storage direct flexible energy sub-station is configured with a macro base station B, the plurality of light storage direct flexible energy sub-stations are connected to the plurality of regional power distribution systems in a mesh state through circuit breakers, and at least two light storage direct flexible energy sub-stations are connected to one regional power distribution system;

[0067] The power distribution processing module is used to calculate the distance between the power consumption area position and the plurality of energy sub-station positions, and the energy loss state of power transmission in the independent transmission line; the threshold setting module is used to set the upper limit value of the energy loss of the light storage direct flexible energy sub-station across the regional power distribution system according to the energy loss of power transmission per unit distance; the optimization selection module is used to configure the light storage direct flexible energy sub-station on a single regional power distribution system for power supply, and to coordinate the plurality of light storage direct flexible energy sub-stations for power distribution work between the plurality of regional power distribution systems; the macro base station A and the macro base station B perform network coverage on the regional power distribution system and the light storage direct flexible sub-station respectively, and perform network communication between the two;

[0068] Secondly, the plurality of light storage direct flexible energy sub-stations each include a photovoltaic power generation unit, an electrochemical energy storage device and an energy management unit, the energy management unit provides electric energy for the target object in the form of direct current power supply and the form of converting direct current into alternating current by an inverter according to the demand of the actual power consumption equipment and the demand of the regional power distribution system;

[0069] The light storage direct flexible energy quantum station uses the maximum power point (MPP) model to calculate the power generation under the premise of not considering the influence of factors such as dust and aging in calculating and predicting the photovoltaic power generation state of the photovoltaic power generation unit, and the specific process is as follows:

[0070]

[0071] Wherein, P max is the actual maximum power, P max，mic is the maximum power under standard test conditions (W), β p is the maximum power temperature coefficient (usually about -0.0045 / W℃);

[0072] After the photovoltaic power generation unit is used for power generation, the short-term energy management is carried out by the electrochemical energy storage device, and the specific process is as follows:

[0073]

[0074] Wherein, V b is the battery terminal voltage, E is the open circuit voltage (related to SOC), I b is the charge and discharge current (negative for charging and positive for discharging), R0 is the ohmic resistance, R1 and C1 are the polarization resistance and capacitance;

[0075] At the same time, the energy network total power distribution system obtains the position of the power consumption area and the position of the light storage direct flexible energy quantum station according to the historical power consumption recorded in the regional power distribution system, calculates the distance between the position of the power consumption area and the positions of multiple light storage direct flexible energy quantum stations and the energy loss limited by the transmission path in the power transmission process, thereby setting the upper limit value of the allowed energy loss, calculating the maximum difference between multiple light storage direct flexible energy quantum stations and the nearest regional power distribution system, and selecting the light storage direct flexible energy quantum station for supplying power to the power consumption area.

[0076] The historical power consumption recorded in the power distribution system is combined with the linear regression model to predict the current regional power consumption, and the specific process is as follows:

[0077] E=β0+β1X1+β2X2+…+β n X n +ε;

[0078] Wherein, E is the total energy demand; X1, X2, …, X n are influencing factors (such as family population, air conditioner number, air temperature, etc.); β0 is a constant term; β1, β2, …, β n are regression coefficients; and ε is a random error term;

[0079] Furthermore, when multiple integrated photovoltaic-storage-DC-flexible power systems supply power to multiple regional power distribution systems (which serve as a unified power supply point for user clusters), the power distribution processing module uses the regional power distribution system as the origin. It labels the geographical coordinates of the corresponding macro base station A as P0(x0, y0, h0), while the geographical coordinates of the photovoltaic-storage-flexible-DC energy substations labeled by macro base station B are labeled as P1(x1, y1, h1). For multiple photovoltaic-storage-flexible-DC energy substations, their geographical coordinates can be denoted as P... n ((x1, x2, ..., x n ), (y1, y2, ..., y n ), (h1, h2, ..., h n ));

[0080] Where x and y represent latitude and longitude values ​​in the geographic coordinate system, and h represents altitude values ​​in the geographic coordinate system.

[0081] At the same time, in order to determine the straight-line distance between the power supply and receiving points, such as Figure 3 As shown, the power distribution processing module calculates the straight-line distance between the regional power distribution system and the photovoltaic-storage-flexible DC power substation based on the geographical locations of macro base station A and macro base station B, and simultaneously calculates the distance between at least two photovoltaic-storage-flexible DC power substations and the regional power distribution system, as detailed below:

[0082]

[0083] By calculating d1, d2, ..., d n By comparing the absolute values ​​of the differences between each pair of energy substations, the distances between multiple photovoltaic-storage-flexible DC power distribution substations and the same regional power distribution system can be determined, and the two photovoltaic-storage-flexible DC power distribution substations with the smallest distances can be identified.

[0084] Meanwhile, when multiple photovoltaic-storage-flexible power substations supply power from the main power distribution system of the energy grid to multiple regional power distribution systems, the power distribution processing module calculates energy losses based on the line materials between different regional power distribution systems, different photovoltaic-storage-flexible-flexible-flexible power substations, and between different regional power distribution systems and the main power distribution system of the energy grid, as detailed below:

[0085] In a three-phase AC system, the line resistance is R, the transmitted three-phase active power is P, the line voltage is U, and the power factor is . but:

[0086] Line current:

[0087]

[0088] Three-phase total resistance loss:

[0089]

[0090] Based on the above, the optimization selection module first sets the allowed threshold N for energy loss by the threshold setting module when selecting the optical storage flexible direct energy substation for the regional power distribution system to select the power supply. The absolute value of the difference between d1, d2, …, d n The absolute value of the difference between d1, d2, …, d

[0091] Wherein, the threshold setting module sets the basic value of energy loss in unit distance between different optical storage flexible direct energy substation and single regional power distribution system as A, and the additional energy loss value caused by the distance difference between different optical storage flexible direct energy substation and single regional power distribution system as B, and uses the following calculation method to obtain the energy loss allowed threshold N:

[0092] Energy loss allowed threshold N = | minimum energy loss difference B - transport line energy loss basic value A * distance difference |

[0093] On the basis of energy loss allowed threshold N, when the power supply line specifications between multiple optical storage direct flexible energy substation and target regional power distribution system are the same, and the construction time is basically the same, the one with the shortest distance between multiple optical storage direct flexible energy substation and target regional power distribution system is selected to supply power, which can achieve the effect of nearby power supply of optical storage direct flexible energy substation;

[0094] At the same time, when the power supply line specifications between multiple optical storage direct flexible energy substation and target regional power distribution system exist differences, and the construction time and the sequence exist (the power supply line laid in the same time period is not considered different specifications), with the help of energy loss allowed threshold N, when the product difference of multiple power supply line length and unit power loss is greater than energy loss allowed threshold N, the optical storage direct flexible energy substation with longer power supply line can be selected to supply power to the target regional power distribution system.

[0095] In some examples, an energy optimization management method of an optical storage direct flexible integrated system includes the following steps

[0096] S1: According to the historical electricity consumption of the region, the electricity consumption of the region in the new period is predicted;

[0097] S2: Obtain the geographical position of each regional power distribution system and multiple optical storage direct flexible energy substation;

[0098] S3: Calculate the energy unit loss of the line between different regional power distribution systems, different optical storage direct flexible energy substation, and different regional power distribution systems and energy network total power distribution system.

[0099] S4: Calculate the distance between the at least two optical storage and transmission energy quantum stations and the same regional power distribution system, and the distance between the energy grid total power distribution system and the regional power distribution system;

[0100] S5: Calculate the energy loss corresponding to the distance difference between the multiple optical storage and transmission energy quantum stations and the same regional power distribution system;

[0101] S6: Select the optical storage and transmission energy quantum station to supply power to the power consumption area, or the optical storage and transmission energy quantum station and the energy grid total power distribution system cooperate to supply power.

[0102] Example 2:

[0103] Based on Example 1, as shown in Figure 1 , Figure 2 and Figure 5 , this embodiment introduces another case of energy loss allowable threshold N. The energy grid total power distribution system obtains the position of the power consumption area and the position of the optical storage and transmission energy quantum station according to the historical power consumption recorded in the regional power distribution system, calculates the distance between the power consumption area position and the multiple optical storage and transmission energy quantum station positions, and the energy loss limited by the transmission path in the power transmission process, thereby setting the upper limit value of the allowable energy loss, calculating the maximum difference of the multiple optical storage and transmission energy quantum stations from the nearest regional power distribution system, and selecting the optical storage and transmission energy quantum station to supply power to the power consumption area.

[0104] The historical power consumption recorded in the power distribution system is combined with the linear regression model to predict the current regional power consumption, as follows:

[0105] E = β0 + β1X1 + β2X2 + … + β n X n + ε;

[0106] Where E is the total energy demand; X1, X2, …, X n are influencing factors (such as family population, air conditioner number, temperature, etc.); β0 is the constant term; β1, β2, …, β n are regression coefficients; and ε is a random error term.

[0107] When calculating the energy loss allowable threshold N, the threshold setting module records the basic value of energy loss in the unit distance of the transmission line between different optical storage and transmission energy quantum stations and a single regional power distribution system as A, records the basic value of energy loss in the unit distance of the transmission line between the energy grid total power distribution system and the regional power distribution system as C, records the distance difference between the energy grid total power distribution system and the regional power distribution system and the nearest optical storage and transmission energy quantum station and a single regional power distribution system as D, and uses the following calculation method to obtain the energy loss allowable threshold N:

[0108] The energy loss allowable threshold value N = |C*A - D*A|;

[0109] Wherein, by setting the energy loss allowable threshold value N for the light storage and flexible energy quantum station to supply power to the regional power distribution system, comparing the energy loss allowable threshold value N of the energy grid total power distribution system and the regional power distribution system, and the energy loss allowable threshold value N of the transmission line between the light storage and flexible energy quantum station and the regional power distribution system, the smaller value is selected as the energy loss allowable threshold value N;

[0110] In actual application process, the conventional case refers to example 1, and when a single light storage and flexible energy quantum station cannot meet the power demand of the regional power distribution system, according to the distance between the energy grid total power distribution system and the target regional power distribution system, and the transmission energy loss of the relative line, the light storage and flexible energy quantum station with power supply still has surplus is selected for comparison, if the transmission energy loss of the energy grid total power distribution system and the target regional power distribution system is greater than the energy loss allowable threshold value N, the light storage and flexible energy quantum station with the target regional power distribution system, the transmission energy loss of the target regional power distribution system is selected as the power supply selection;

[0111] If there are multiple target regional power distribution systems that cannot meet the power demand of multiple target regional power distribution systems, the energy grid total power distribution system supplies power to the nearest one or several scattered power distribution systems based on the reference of the energy loss allowable threshold value N, and multiple light storage and flexible energy quantum stations supply power to multiple target regional power distribution systems in coordination, which can shorten the distance between the power supply end and the power consumption end to the greatest extent, and reduce the loss of electric energy in the transmission process.

[0112] In some examples, an energy optimization management method of a light storage and flexible integrated system includes the following steps

[0113] S1: According to the historical power consumption of the region, the new period prediction of the power consumption of the region is carried out;

[0114] S2: Obtain the geographical position of each regional power distribution system and multiple light storage and flexible energy quantum stations;

[0115] S3: Calculate the energy unit loss of the line between different regional power distribution systems, different light storage and flexible energy quantum stations, and different regional power distribution systems and the energy grid total power distribution system;

[0116] S4: Calculate the distance between at least two light storage and flexible energy quantum stations and the same regional power distribution system, and the distance between the energy grid total power distribution system and the regional power distribution system;

[0117] S5: calculating the energy loss between the optical storage flexible direct current energy substation and the regional power distribution system and the energy loss between the energy network total power distribution system and the regional power distribution system;

[0118] S6: selecting the optical storage flexible direct current energy substation to supply power to the power consumption area, or the optical storage flexible direct current energy substation and the energy network total power distribution system cooperate to supply power.

[0119] Finally, it should be noted that: apparently, the above examples are only for clearly illustrating the application, and not limited to the implementation. For those of ordinary skill in the art, on the basis of the above description, other different forms of changes or variations can also be made. Here, it is not necessary and impossible to exhaust all the implementations. The obvious changes or variations derived therefrom are still within the scope of the present application.

Claims

1. An energy optimization management system for a photovoltaic energy storage and direct flexible integrated system, the system comprising: a photovoltaic energy storage and direct flexible integrated system; a power management system; a power grid; and a power grid operator. The utility model relates to an energy grid total power distribution system, a regional power distribution system, a plurality of light storage flexible direct current energy sub-stations, and a power distribution processing module, an optimization selection module and a threshold setting module. The regional power distribution system is connected to the energy grid total power distribution system through a circuit breaker. The light storage flexible direct current energy sub-station is connected to the regional power distribution system through a circuit breaker. The power distribution processing module calculates the distance between the power consumption region and the plurality of energy sub-station positions and the energy loss state of power transmission in the independent transmission line. The threshold setting module sets the upper limit value of the energy loss in the light storage flexible direct current energy sub-station across the regional power distribution system according to the energy loss of power transmission per unit distance. The optimization selection module configures the light storage flexible direct current energy sub-station to supply power to a single regional power distribution system and coordinates the plurality of light storage flexible direct current energy sub-stations to perform power distribution work among the plurality of regional power distribution systems. The macro base station A and the macro base station B perform network coverage on the regional power distribution system and the light storage flexible direct current energy sub-station, respectively, and perform network communication between the two. The plurality of light storage flexible direct current energy sub-stations are connected to the plurality of regional power distribution systems through circuit breakers in a mesh state, and at least two light storage flexible direct current energy sub-stations are connected to a regional power distribution system. The plurality of light storage flexible direct current energy sub-stations each include a photovoltaic power generation unit, an electrochemical energy storage device, and an energy management unit. In the calculation and prediction of the photovoltaic power generation state using the photovoltaic power generation unit, the maximum power point (MPP) model is used for power generation power calculation without considering the influence of factors such as dust and aging.

2. The energy optimization management system of a light storage and direct flexible integrated system according to claim 1, wherein: After power generation using the photovoltaic power generation unit, the electrochemical energy storage device performs short-term energy management. The energy management unit provides electrical energy to the target object in the form of direct current power supply and the form of alternating current power supply obtained by converting direct current to alternating current through an inverter according to the demand of the actual power consumption equipment and the demand of the regional power distribution system. where P max is the actual maximum power, P max，mic is the maximum power under standard test conditions (W), β p is the maximum power temperature coefficient (typically about -0.0045 / W°C); Wherein, x and y respectively represent longitude and latitude values in a geographic coordinate system, and h represents an altitude value in a geographic coordinate system. wherein V b is the battery terminal voltage, E is the open circuit voltage (related to SOC), I b is the charge and discharge current (negative for charging, positive for discharging), R0 is the ohmic internal resistance, R1, C1 are the polarization resistance and capacitance; The power distribution processing module calculates the straight-line distance between the regional power distribution system and the light storage flexible direct current energy sub-station through the geographic position of the macro base station A and the geographic position of the macro base station B, and simultaneously calculates the distance between at least two light storage flexible direct current energy sub-stations and the regional power distribution system.

3. The energy optimization management system of a PV-battery-flexible integrated system of claim 1, wherein: The power distribution processing module marks the geographic location coordinates of the macro base station A corresponding to the regional power distribution system as P0(x0, y0, h0), and marks the geographic location coordinates of the light storage and flexible energy quantum station marked by the macro base station B as P1(x1, y1, h1). For a plurality of light storage and flexible energy quantum stations, the geographic location coordinates can be marked as P n ((x1, x2, …, x n ), (y1, y2, …, y n ), (h1, h2, …, h n )). The power distribution processing module calculates the energy loss according to the line material for different regional power distribution systems, different light storage flexible direct current energy sub-stations, and different regional power distribution systems and the energy grid total power distribution system.

4. The energy optimization management system of a light storage and direct flexible integrated system according to claim 3, wherein: Line current: …； wherein d1, d2,..., d n The absolute values of the differences between each other are compared with each other.

5. The energy optimization management system of a PV-battery-flexible integrated system of claim 1, wherein: Three-phase total resistance loss: In a three-phase AC system, the three-phase line resistance is R, the three-phase active power delivered is P, the line voltage is U, and the power factor is Then: ​ ​ 6. The energy optimization management system of a PV-battery-flexible integrated system of claim 1, wherein: The optimization selection module sets an allowed threshold value N for energy loss by the threshold value setting module in the process of selecting the optical storage flexible direct current energy quantum station to supply power for the regional power distribution system, and compares the energy loss degree of the transmission line between the optical storage flexible direct current energy quantum station and the regional power distribution system and between the total power distribution system of the energy network and the regional power distribution system with the threshold value N in the form of the absolute value of the difference between each other to select the power supply line. n The optimization selection module sets an allowed threshold value N for energy loss by the threshold value setting module in the process of selecting the optical storage flexible direct current energy quantum station to supply power for the regional power distribution system, and compares the energy loss degree of the transmission line between the optical storage flexible direct current energy quantum station and the regional power distribution system and between the total power distribution system of the energy network and the regional power distribution system with the threshold value N in the form of the absolute value of the difference between each other to select the power supply line.

7. The energy optimization management system of a PV-battery-flexible integrated system of claim 6, wherein: The threshold setting module records the basic value of energy loss per unit distance in the transmission line between different light storage flexible energy quantum stations and a single regional power distribution system as A, records the additional energy loss value caused by the distance difference between different light storage flexible energy quantum stations and a single regional power distribution system as B, records the basic value of energy loss per unit distance in the transmission line between the total energy grid distribution system and the regional power distribution system as C, records the distance difference between the transmission line between the total energy grid distribution system and the regional power distribution system and the nearest light storage flexible energy quantum station and a single regional power distribution system as D, and uses the following calculation method to obtain the energy loss allowable threshold N: Energy loss case one: | minimum energy loss difference B - transmission line energy loss basic value A * distance difference|; Energy loss case two: | C * A - D * A|; Wherein, the energy loss case one and the energy loss case two are compared, and the smaller value is selected as the energy loss allowable threshold N.

8. The energy optimization management system of a PV-battery-flexible integrated system of claim 1, wherein: The total energy grid distribution system obtains the positions of the power consumption areas and the light storage direct flexible energy quantum stations according to the historical power consumption conditions recorded in the regional power distribution system, calculates the distances between the power consumption area positions and the positions of the multiple light storage direct flexible energy quantum stations and the energy loss limited by the transmission path in the power transmission process, thereby setting the upper limit value of the allowable energy loss, calculating the maximum difference between each light storage direct flexible energy quantum station and the nearest regional power distribution system, and selecting the light storage direct flexible energy quantum station for supplying power to the power consumption area.

9. The energy optimization management system of a PV-battery-flexible integrated system of claim 8, wherein: The historical power consumption conditions recorded in the power distribution system are combined with the linear regression model to predict the current regional power consumption conditions, specifically as follows: E = β0+ β1X1+ β2X2+... + β n X n + ε; where E is the total energy demand; X1, X2, …, X n are influencing factors (such as the number of family members, the number of air conditioning units, the temperature, etc.); β0is a constant term; β1, β2, …, β n are regression coefficients; and ε is a random error term.

10. An energy optimization management method of a photo-storage-straight-soft integrated system, which is implemented based on an energy optimization management system of a photo-storage-straight-soft integrated system according to any one of claims 1 to 9, characterized in that, Including: S1: According to the historical power consumption conditions of the region, the power consumption conditions of the new period of the region are predicted; S2: Obtain the geographical positions of each regional power distribution system and multiple light storage direct flexible energy quantum stations; S3: Calculate the energy loss per unit of different regional power distribution systems, different light storage direct flexible energy quantum stations, and different regional power distribution systems and the total energy grid distribution system; S4: Calculate the distance between at least two light storage direct flexible energy quantum stations and the same regional power distribution system, and the distance between the total energy grid distribution system and the regional power distribution system; S5: Calculate the energy loss corresponding to the distance difference between multiple light storage direct flexible energy quantum stations and the same regional power distribution system, and the energy loss between the light storage direct flexible energy quantum station and the regional power distribution system and the energy loss between the total energy grid distribution system and the regional power distribution system; S6: Select the light storage direct flexible energy quantum station for supplying power to the power consumption area, or the light storage direct flexible energy quantum station and the total energy grid distribution system cooperate to supply power.

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