Energy management method, device and system based on optical storage direct flexible intelligent micro-grid

Abstract

The invention provides an energy management method, device and system based on an optical storage direct flexible intelligent micro-grid, and relates to the technical field of micro-grid management. The method comprises the following steps: when a target time period is a power utilization peak time period of a first preset month, determining the power utilization peak time period based on the charge capacity of an energy storage battery in the target time period, the output of fan equipment and photovoltaic equipment at a target moment, the charge capacity of an energy storage device at the target moment and the preset power consumption of a charging pile at the target moment; determining a discharging strategy according to a first preset electrical load in the intelligent micro-grid at the target moment; and when the target time period is the power utilization peak time period of a second preset month, determining a discharging strategy based on the charge capacity of the energy storage battery and the energy storage device in the target time period, the output of the fan equipment and the photovoltaic equipment at the target time, and a second preset power utilization load in the charging pile and the intelligent microgrid. The energy supply requirements of different loads can be met, and the energy utilization rate is increased.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of microgrid management, and particularly relates to an energy management method, device and system based on a light-storage-direct-flexible intelligent microgrid. BACKGROUND

[0002] An intelligent microgrid is a small-scale power generation and distribution system that combines distributed power sources, energy storage devices, loads, monitoring and protection devices, etc. It can achieve self-control, protection and management, and can interact and coordinate with the main power grid to improve energy utilization efficiency, power supply reliability and flexibility. It can operate independently in the event of power grid failure or supply-demand imbalance to provide stable power supply for local areas.

[0003] At present, with the continuous increase of distributed photovoltaic installed capacity in the park and the continuous reduction of energy storage battery cost, direct current power supply, energy storage battery and alternating current power supply have become the development direction of the current intelligent microgrid power supply system. By controlling the switching devices of the inverter bridge in the photovoltaic power generation module and the energy storage system, the switching and control of the AC / DC microgrid system can be realized, and the corresponding electric energy can be provided to the AC / DC load to make it operate normally.

[0004] However, the current intelligent microgrid only supplies power through an alternating current grid or a direct current grid, cannot realize AC / DC interaction, cannot meet the energy supply needs of different loads, and will lead to a decrease in energy utilization. SUMMARY

[0005] The present application provides an energy management method, device and system based on a light-storage-direct-flexible intelligent microgrid to solve the problem that the current intelligent microgrid management method cannot meet the energy supply needs of different loads.

[0006] In a first aspect, the present application provides an energy management method based on a light-storage-direct-flexible intelligent microgrid. The photovoltaic device, energy storage battery, piezoelectric footpath energy storage device and fan device in the intelligent microgrid are connected to the direct current bus through a converter, and the photovoltaic device, energy storage battery and fan device are connected to the alternating current bus through an inverter.

[0007] When the target period is the power consumption peak period of the first preset month, the discharge strategy is determined based on the state of charge of the energy storage battery in the target period, the output of the fan device and the photovoltaic device at the target time, the state of charge of the energy storage device at the target time, the preset power consumption of the charging pile at the target time, and the first preset power consumption load in the intelligent microgrid at the target time.

[0008] When the target period is a high electricity consumption period of a second preset month, a discharging strategy is determined based on the charge amount of the energy storage battery and the energy storage device at the target period, the output of the fan device and the photovoltaic device at the target time, the second preset electricity consumption load in the smart micro-grid, and the charging pile at the target time.

[0009] In some embodiments, the discharging strategy is determined based on the charge amount of the energy storage battery at the target period, the output of the fan device and the photovoltaic device at the target time, the charge amount of the energy storage device at the target time, the preset electricity consumption amount of the charging pile at the target time, and the first preset electricity consumption load in the smart micro-grid at the target time, and includes:

[0010] When the sum of the output of the fan device and the photovoltaic device at the target time and the charge amount of the energy storage device at the target time is greater than the first total electricity demand amount, the fan device, the photovoltaic device, and the energy storage device supply power to the smart micro-grid, and when there is remaining electricity and the energy storage battery is not at the maximum amount, the energy storage battery is charged; wherein the first total electricity demand amount includes the preset electricity consumption amount of the charging pile at the target time and the first preset electricity consumption load in the smart micro-grid at the target time.

[0011] When the sum of the output of the fan device and the photovoltaic device at the target time and the charge amount of the energy storage device at the target time is less than the first total electricity demand amount, and the sum of the output of the fan device and the photovoltaic device at the target time and the charge amount of the energy storage device and the energy storage battery at the target time is greater than the first total electricity demand amount, the fan device, the photovoltaic device, the energy storage device, and the energy storage battery supply power to the smart micro-grid, and the remaining electricity is sold to the power grid through the inverter.

[0012] In some embodiments, when the sum of the output of the fan device and the photovoltaic device at the target time and the charge amount of the energy storage device and the energy storage battery at the target time is less than the first total electricity demand amount, the fan device, the photovoltaic device, and the energy storage device supply power to the charging pile, and the power grid and the energy storage battery supply power to the air conditioner in the smart micro-grid.

[0013] In some embodiments, the power grid and the energy storage battery supply power to the air conditioner in the smart micro-grid, including:

[0014] When the charge amount of the energy storage battery is less than or equal to a preset electricity threshold, the power grid supplies power to the air conditioner in the smart micro-grid.

[0015] When the sum of the output of the fan device and the photovoltaic device at the target time and the charge amount of the energy storage device at the target time is greater than the preset electricity consumption amount of the charging pile at the target time, the fan device, the photovoltaic device, and the energy storage device charge the energy storage battery when the charge amount of the energy storage battery is less than or equal to a preset electricity threshold.

[0016] In some embodiments, based on the state of charge of the energy storage battery and the energy storage device at the target period, the output of the fan device and the photovoltaic device at the target time, the charging pile and the second preset power load in the smart microgrid, a discharging strategy is determined, comprising:

[0017] When the state of charge of the energy storage battery and the energy storage device at the target time is greater than the second power demand, the energy storage battery and the energy storage device supply power to the smart microgrid, and the fan device and the photovoltaic device sell electricity to the grid through the inverter; wherein the total second power demand includes the preset power consumption of the charging pile at the target time and the second preset power load in the smart microgrid at the target time;

[0018] When the state of charge of the energy storage battery is less than or equal to the preset power threshold, the fan device and the photovoltaic device charge the energy storage battery.

[0019] In some embodiments, when the state of charge of the energy storage battery and the energy storage device at the target time is less than the second power demand, and the sum of the state of charge of the energy storage battery and the energy storage device at the target time and the output of the photovoltaic device at the target time is greater than or equal to the second power demand, the energy storage battery and the energy storage device supply power to the smart microgrid, and the fan device sells electricity to the grid through the inverter; or

[0020] When the state of charge of the energy storage battery and the energy storage device at the target time is less than the second power demand, and the sum of the state of charge of the energy storage battery and the energy storage device at the target time and the output of the fan device at the target time is greater than or equal to the second power demand, the energy storage battery and the energy storage device supply power to the smart microgrid, and the photovoltaic device sells electricity to the grid through the inverter.

[0021] In some embodiments, when the sum of the state of charge of the energy storage battery and the energy storage device at the target time and the output of the photovoltaic device at the target time is less than the second power demand, and the sum of the state of charge of the energy storage battery and the energy storage device at the target time and the output of the fan device at the target time is less than the second power demand, the energy storage battery, the energy storage device, the photovoltaic device and the fan device jointly supply power to the smart microgrid.

[0022] In some embodiments, the first preset month is a month in which the indoor temperature is greater than the first preset temperature, the second preset month is a month in which the outdoor temperature is greater than the second preset temperature and less than the first preset temperature, and the first preset temperature is greater than the second preset temperature.

[0023] In a second aspect, the embodiments of the present application provide an energy management device based on a photovoltaic energy storage direct flexible smart microgrid. The photovoltaic device, the energy storage battery, the energy storage device of the piezoelectric walkway and the fan device in the smart microgrid are connected to the direct current bus through the converter, and the photovoltaic device, the energy storage battery and the fan device are connected to the alternating current bus through the inverter.

[0024] The first formulating module is configured to determine the discharging strategy based on the charge amount of the energy storage battery at the target period, the output of the fan device and the photovoltaic device at the target time, the charge amount of the energy storage device at the target time, the preset power consumption of the charging pile at the target time, and the first preset power consumption load in the smart micro-grid at the target time when the target period is the power consumption peak period of the first preset month.

[0025] The second formulating module is configured to determine the discharging strategy based on the charge amount of the energy storage battery and the energy storage device at the target period, the output of the fan device and the photovoltaic device at the target time, the charging pile, and the second preset power consumption load in the smart micro-grid when the target period is the power consumption peak period of the second preset month.

[0026] In a third aspect, an energy management system based on a light-storage-direct-flexible smart micro-grid is provided in the embodiments of the present application, which comprises a memory and a processor, the memory stores a computer program, and the processor implements the method in the first aspect or any possible implementation manner of the first aspect when executing the computer program.

[0027] In the embodiments of the present application, the charge amount of the energy storage battery at the target period, the output of the fan device and the photovoltaic device at the target time, the charge amount of the energy storage device at the target time, the preset power consumption of the charging pile at the target time, and the preset power consumption load of the air conditioner or the residents in the smart micro-grid at the target time are determined for the power consumption peak period of the preset month, and since the air conditioner is used in the high-temperature month, different discharging strategies for the power consumption peak of different preset months are needed. Therefore, a reasonable discharging strategy can be constructed based on the energy storage battery, the energy storage device, the fan device, the photovoltaic device, and the charging pile, which not only meets the daily life of the residents, but also improves the energy utilization rate and reduces the power consumption cost. BRIEF DESCRIPTION OF DRAWINGS

[0028] Figure 1 is an implementation flowchart of the energy management method based on the light-storage-direct-flexible smart micro-grid provided in the embodiments of the present application;

[0029] Figure 2 is a structural schematic diagram of the energy management device based on the light-storage-direct-flexible smart micro-grid provided in the embodiments of the present application;

[0030] Figure 3 is a schematic diagram of the energy management system based on the light-storage-direct-flexible smart micro-grid provided in the embodiments of the present application. DETAILED DESCRIPTION

[0031] The embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0032] With the continuous advancement of green, low-carbon, and clean energy, smart microgrids combining solar power, storage, and direct current (DC) have become a research hotspot. For example, based on campus energy usage characteristics and adhering to the principles of "resource-driven solar, demand-driven storage, and landscape integration," they can deploy clean energy and energy storage equipment such as rooftop distributed photovoltaics, photovoltaic umbrellas, landscape wind turbines, and piezoelectric walkways, as well as flexible loads such as air-source heat pumps and electric vehicle charging stations.

[0033] However, as described in the background, current smart microgrids rely solely on AC or DC grids for power supply, failing to achieve AC-DC interaction and unable to meet the energy supply needs of diverse loads. To address these issues, the present invention provides an energy management method, device, and system for a PV-storage-direct-flexible smart microgrid.

[0034] It should be noted that the smart microgrid of the present invention includes photovoltaic equipment, energy storage batteries, piezoelectric walkways, and wind turbines. The photovoltaic equipment can be distributed rooftop photovoltaics or photovoltaic umbrellas. These can directly convert solar radiation into electrical energy, which can be used to power nearby electrical devices locally via inverters or to power additional electrical devices via converters.

[0035] A piezoelectric walkway generates electricity from walking. When people walk on the walkway, the downward pressure on it causes the energy storage gear inside the walkway to rotate. The kinetic energy generated by this rotation is converted into electricity and stored in the piezoelectric walkway's energy storage device. The piezoelectric walkway will be installed in a busy playground. Each step generates approximately 2 watt-seconds (joules) of electricity. If each person walks 400 meters on the walkway, assuming 3,500 people walk, the electricity generated could power 10 playground landscape lights for two hours.

[0036] Based on the functional characteristics of each campus area, sub-microgrids were constructed for teaching, living, and leisure areas in three different areas: teaching buildings and laboratories, dormitories, and playgrounds. Within each sub-microgrid, clean energy sources such as photovoltaics, energy storage, and power consumption equipment are integrated through energy management devices. These energy management devices are flexibly interconnected via DC feeders to form a smart microgrid cluster, transforming the campus into a multifunctional complex integrating power generation, energy storage, power consumption, and regulation.

[0037] The energy management system is the management system of the solar-storage-direct-flexible smart microgrid, which can monitor and analyze the operating status of each device in the smart microgrid group in real time.

[0038] See also Figure 1 , which shows a flowchart of the implementation of the energy management method based on the solar-storage-direct-flexible smart microgrid provided by an embodiment of the present invention, and is detailed as follows:

[0039] S110. When the target period is the peak electricity consumption period of the first preset month, a discharge strategy is determined based on the charge of the energy storage battery during the target period, the output of the wind turbine equipment and the photovoltaic equipment at the target time, the charge of the energy storage device at the target time, the preset power consumption of the charging pile at the target time, and the first preset power load in the smart microgrid at the target time.

[0040] During off-peak periods, there's no profit to be made from the grid's peak-to-valley differences. Therefore, clean energy can be consumed and energy storage batteries can be charged during these periods. During off-peak periods, the electricity usage strategy adopted is relatively conventional. Therefore, the present invention only plans discharge strategies for peak periods to ensure profit can be made from the grid's peak-to-valley differences, reducing operating costs while balancing grid load and achieving friendly interaction with the grid.

[0041] In some embodiments, the first preset month may be a month with an indoor temperature greater than the first preset temperature, such as summer. Summer is peak season for air conditioning electricity consumption, so air conditioning electricity consumption needs to be adjusted to ensure a reasonable summer electricity consumption strategy. The first preset temperature here may be the temperature at which the air conditioner is turned on. The first preset electricity load here refers to the daily electricity consumption of residents and the amount of electricity required when the air conditioner is turned on. Daily electricity consumption does not include air conditioning electricity.

[0042] When the sum of the output of the wind turbine equipment and the photovoltaic equipment at the target time and the charge of the energy storage device at the target time is greater than the first total power demand, the wind turbine equipment, the photovoltaic equipment, and the energy storage device supply power to the smart microgrid, and when there is surplus power and the energy storage battery is not at maximum power, the energy storage battery is charged.

[0043] The first total electricity demand includes the preset electricity consumption of the charging pile at the target time and the first preset electricity load in the smart microgrid at the target time. The first preset electricity load is predicted based on the air conditioning and daily electricity consumption of residents in historical years.

[0044] When the difference between the sum of the wind turbine and photovoltaic system outputs at the target time and the energy storage device charge at the target time and the total first power demand is greater than 0, it indicates that there is surplus power. If the energy storage battery is not at its maximum charge at this time, the surplus power is used to charge the energy storage battery. This reduces the amount of power purchased from the grid and lowers the cost of electricity purchases.

[0045] At this time, only the wind turbine equipment and photovoltaic equipment need to supply power to the AC bus side through the rectifier conversion device, and the battery does not supply power to the AC bus side, which can reduce the life damage of the battery caused by discharge and increase the electricity purchase cost.

[0046] However, when the sum of the output of the wind turbine equipment and the photovoltaic equipment at the target time and the charge of the energy storage device at the target time is less than the first total electricity demand, and the sum of the output of the wind turbine equipment and the photovoltaic equipment at the target time and the charge of the energy storage device and the energy storage battery at the target time is greater than the first total electricity demand, the wind turbine equipment, the photovoltaic equipment, the energy storage device and the energy storage battery will supply power to the smart microgrid, and the remaining power will be sold to the power grid through the inverter.

[0047] In this embodiment, when the sum of the output of the wind turbine and photovoltaic devices at the target time and the charge of the energy storage device and the energy storage battery at the target time is less than the first total power demand, the wind turbine, photovoltaic devices, and energy storage device supply power to the charging pile, while the grid and energy storage battery supply power to the air conditioner in the smart microgrid. Because the presence of the inverter constrains output power, when the sum of the output of the wind turbine and photovoltaic devices at the target time and the charge of the energy storage device and the energy storage battery at the target time is less than the first total power demand, the wind turbine, photovoltaic devices, and energy storage device supply power to the charging pile, ensuring that the electric vehicle charging pile does not need to purchase electricity from the grid and that the electric vehicle's charging needs are met. The grid and energy storage battery supply power to the air conditioner in the smart microgrid, ensuring normal operation of the air conditioner.

[0048] In this embodiment, when the grid and the energy storage battery are supplying power to the air conditioner in the smart microgrid, power is supplied from the grid when the energy storage battery charge is equal to or less than a preset power threshold. When the energy storage battery charge is equal to or less than the preset power threshold, discharging is stopped to ensure the minimum power output of the energy storage battery and thus its performance.

[0049] However, when the sum of the output of the wind turbine equipment and the photovoltaic equipment at the target time and the charge of the energy storage device at the target time is greater than the preset power consumption of the charging pile at the target time, then when the charge of the energy storage battery is less than or equal to the preset power threshold, the wind turbine equipment, the photovoltaic equipment, and the energy storage device will charge the energy storage battery.

[0050] S120. When the target period is the peak electricity consumption period of the second preset month, determine a discharge strategy based on the charge of the energy storage battery and the energy storage device during the target period, the output of the wind turbine equipment and the photovoltaic equipment at the target time, the charging piles, and the second preset power load in the smart microgrid.

[0051] In some embodiments, the second preset month is a month when the outdoor temperature is greater than the second preset temperature and less than the first preset temperature, and the first preset temperature is greater than the second preset temperature. The second preset month is spring or autumn, when air conditioning is not required and an air source heat pump is not required to heat the room.

[0052] It should be noted that the second preset power load here is the daily electricity consumption of residents. There is no need to turn on the air conditioner at this time, so the electricity consumption of the air conditioner is not included.

[0053] When the charge of the energy storage battery and energy storage device at the target time exceeds the second power demand, the energy storage battery and energy storage device supply power to the smart microgrid, and the wind turbine equipment and photovoltaic equipment sell electricity to the grid through the inverter. When the charge of the energy storage battery is less than or equal to the preset power threshold, the wind turbine equipment and photovoltaic equipment charge the energy storage battery.

[0054] The second total power demand includes the preset power demand of the charging pile at the target time and the second preset power load of the smart microgrid at the target time. When the charge of the energy storage battery and energy storage device at the target time exceeds the second power demand, the energy storage battery and energy storage device directly supply power to the smart microgrid, ensuring normal power supply for residents in the smart microgrid.

[0055] However, when the charge of the energy storage battery and the energy storage device at the target time is less than the second power demand, and the sum of the charge of the energy storage battery and the energy storage device at the target time and the output of the photovoltaic equipment at the target time is greater than or equal to the second power demand, the energy storage battery and the energy storage device will supply power to the smart microgrid, and the wind turbine equipment will sell electricity to the grid through the inverter.

[0056] Or when the charge of the energy storage battery and the energy storage device at the target time is less than the second power demand, and the sum of the charge of the energy storage battery and the energy storage device at the target time and the output of the wind turbine equipment at the target time is greater than or equal to the second power demand, the energy storage battery and the energy storage device will supply power to the smart microgrid, and the photovoltaic equipment will sell electricity to the grid through the inverter.

[0057] In this embodiment, when the sum of the charge of the energy storage battery and the energy storage device at the target time and the output of the photovoltaic device at the target time is less than the second power demand, and the sum of the charge of the energy storage battery and the energy storage device at the target time and the output of the wind turbine device at the target time is less than the second power demand, the energy storage battery, the energy storage device, the photovoltaic device and the wind turbine device jointly supply power to the smart microgrid.

[0058] In addition, the real-time charge of the energy storage battery during the target period, the output of the wind turbine equipment and photovoltaic equipment at the target time, the charge of the energy storage device at the target time, the preset power consumption of the charging pile at the target time, and the first preset power load in the smart microgrid at the target time can be input into the pre-built smart microgrid model, and the optimal charging and discharging strategy can be determined by solving the constructed smart microgrid model.

[0059] The smart microgrid model includes a charging and discharging model for the energy storage system, a charging and discharging strategy model for charging piles, and a photovoltaic output model. Constraints for this smart microgrid model include system power flow constraints, node power balance constraints, photovoltaic device energy constraints, and a maximum energy constraint for the energy storage system. The energy storage system includes batteries and energy storage devices.

[0060] Specifically, the charge-discharge model of the energy storage system can be expressed as:

[0061]

[0062] where SOC ESS (t) and SOC ESS (t-1) are the SOC values of the energy storage system at adjacent two time instants.

[0063] P ESS,ch (t) and P ESS,dis (t) are limited by the maximum power, satisfying the following constraints:

[0064]

[0065] SOC ESS (t) and SOC ESS (t-1) are the SOC values of the energy storage system at adjacent two time instants, T ad is the charging time or discharging time, and are 0-1 variables, η ESS,dis is the discharging efficiency of the energy storage system, P ESS,dis (t) is the discharging power of the energy storage system, η ESS,ch is the charging efficiency of the energy storage system, P ESS,ch (t) is the charging power of the energy storage system, Cap n is the target rated capacity of the energy storage system, and are the upper and lower limits of the energy storage system SOC value.

[0066] The charge-discharge strategy model of the charging pile is:

[0067]

[0068] where SOC ini is the SOC at the arrival time, Cap EV is the rated capacity of the electric vehicle battery, P EVC (t) and η EV are the charging power and charging efficiency of the electric vehicle at time t.

[0069] The photovoltaic output model is:

[0070]

[0071] where G c (t) is the solar irradiance at time t, G ris the standard solar irradiance required for the solar cell to generate electricity at rated power, γ is the power temperature coefficient of the solar cell, T(t) is the ambient temperature at time t, T r is the standard ambient temperature of the solar cell working at rated power, η is the loss correction coefficient, P sr is the light intensity.

[0072] In addition, the system power flow constraint is:

[0073]

[0074] Among them, P ij and Q ij is the injected active and reactive power from node i to node j, r ij and x ij is the line resistance and reactance from node i to node j, l ij is the square of the current amplitude from node i to node j after phase angle relaxation, v i is the voltage at node i, v j is the square of the voltage amplitude at node j after phase angle relaxation, v i is the lower limit of the square of the voltage amplitude at the i-th node, is the upper limit of the square of the voltage amplitude at the i-th node, is the upper limit of the current carrying capacity of the line between node i and node j, p is the net outflow power, is the hourly discharge amount of the energy storage device, is the hourly discharge amount of the energy storage battery, To purchase electricity hourly, It is the photovoltaic output data; For wind turbine equipment data, is the electricity stored in the hourly energy storage device, For the storage of energy in hourly energy storage batteries, is the electric load data, For hourly heating and power load, It is the hourly cooling electrical load.

[0075] The node power balance constraint is:

[0076] P in,i +P PV,m +P ESS,m -P out,i =0;

[0077] Q in,i +Q ESS,m -Q out,i -Q D,i =0;

[0078] Among them, P in,i and Q in,iP and Q are the active and reactive power flowing into node i, respectively, P out,i and Q out,i are the active and reactive power flowing out of node i, respectively, P PV,m and P ESS,m are the active power output of the distributed photovoltaic source and the active power output of the energy storage system at node i, Q ESS,m and Q D,i are the reactive power output of the energy storage system and the reactive power of the load at node i.

[0079] The energy constraint of the photovoltaic device is:

[0080] 0≤S PV ≤S PV,max ;

[0081] wherein S PV is the power generation capacity of the photovoltaic device, and S PV,max is the upper limit of the access capacity of the photovoltaic device.

[0082] The maximum energy constraint of the energy storage system is:

[0083] S min ≤S t ≤S max ;

[0084] wherein S min is the minimum energy storage capacity required for ensuring stable operation of important loads in the distributed photovoltaic system for 0.5 h when the system is off-grid, and S max is the maximum capacity of the energy storage system.

[0085] After the above intelligent microgrid model and the constraint conditions of the intelligent microgrid model are determined, the discharging strategy for different power consumption peaks can be determined.

[0086] Specifically, the model can be solved in MATLAB using the ipopt solving toolbox, or the improved non-inferior classification genetic algorithm can be used to solve the intelligent microgrid model and the constraint conditions of the intelligent microgrid model to obtain the discharging strategy for different power consumption peaks.

[0087] The energy management method for a PV-storage, direct-flexible smart microgrid provided in this embodiment calculates the charge of the energy storage battery during the target period of peak electricity consumption in a preset month, the output of the wind turbine and photovoltaic equipment at the target time, the charge of the energy storage device at the target time, the preset power consumption of the charging pile at the target time, and the preset power load of the air conditioner or residents in the smart microgrid at the target time. Because air conditioning is used in high-temperature months, different peak electricity consumption discharge strategies need to be determined for different preset months. This allows for the construction of a reasonable discharge strategy based on the energy storage battery, energy storage device, wind turbine, photovoltaic equipment, and charging pile, which not only meets the daily needs of residents but also improves energy utilization and reduces electricity costs.

[0088] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0089] The following are device embodiments of the present invention. For details not fully described therein, reference may be made to the corresponding method embodiments described above.

[0090] Figure 2 The following is a schematic diagram showing the structure of an energy management device based on a PV-storage-direct-flexible smart microgrid provided by an embodiment of the present invention. For ease of explanation, only the parts related to the embodiment of the present invention are shown, which are detailed as follows:

[0091] like Figure 2 As shown, based on the energy management device 200 of the photovoltaic storage direct-flexible smart microgrid, the photovoltaic equipment, energy storage battery, energy storage device of the piezoelectric walkway and wind turbine equipment in the smart microgrid are all connected to the DC bus through the converter, and the photovoltaic equipment, energy storage battery and wind turbine equipment are all connected to the AC bus through the inverter;

[0092] The first formulation module 210 is configured to determine a discharge strategy based on the charge of the energy storage battery during the target period, the output of the wind turbine and photovoltaic equipment at the target time, the charge of the energy storage device at the target time, the preset power consumption of the charging pile at the target time, and the first preset power load in the smart microgrid at the target time when the target period is the peak power consumption period of the first preset month;

[0093] The second formulation module 220 is used to determine a discharge strategy based on the charge of the energy storage battery and the energy storage device during the target period, the output of the wind turbine equipment and the photovoltaic equipment at the target time, the charging piles and the second preset power load in the smart microgrid when the target period is the peak power consumption period of the second preset month.

[0094] In one possible implementation, the first formulating module 210 is configured to, when the sum of the output of the wind turbine device and the photovoltaic device at the target time and the charge of the energy storage device at the target time is greater than a first total power demand, supply power to the smart microgrid from the wind turbine device, the photovoltaic device, and the energy storage device, and charge the energy storage battery when there is surplus power and the energy storage battery is not at maximum power. The first total power demand includes a preset power consumption of the charging pile at the target time and a first preset power load in the smart microgrid at the target time.

[0095] When the sum of the output of the wind turbine equipment and the photovoltaic equipment at the target time and the charge of the energy storage device at the target time is less than the first total electricity demand, and the sum of the output of the wind turbine equipment and the photovoltaic equipment at the target time and the charge of the energy storage device and the energy storage battery at the target time is greater than the first total electricity demand, the wind turbine equipment, the photovoltaic equipment, the energy storage device and the energy storage battery will supply power to the smart microgrid, and the remaining power will be sold to the power grid through the inverter.

[0096] In one possible implementation, the first formulation module 210 is used to, when the sum of the output of the wind turbine equipment and the photovoltaic equipment at the target time and the charge of the energy storage device and the energy storage battery at the target time is less than the first total power demand, the wind turbine equipment, the photovoltaic equipment, and the energy storage device supply power to the charging pile, and the power grid and the energy storage battery supply power to the air conditioner in the smart microgrid.

[0097] In one possible implementation, the first formulation module 210 is configured to supply power from the power grid to the air conditioner in the smart microgrid when the charge of the energy storage battery is less than or equal to a preset power threshold;

[0098] When the sum of the output of the wind turbine equipment and photovoltaic equipment at the target time and the charge of the energy storage device at the target time is greater than the preset power consumption of the charging pile at the target time, then when the charge of the energy storage battery is less than or equal to the preset power threshold, the wind turbine equipment, photovoltaic equipment and energy storage device will charge the energy storage battery.

[0099] In one possible implementation, the second formulating module 220 is configured to, when the charge of the energy storage battery and the energy storage device at the target time is greater than the second power demand, have the energy storage battery and the energy storage device supply power to the smart microgrid, and have the wind turbine device and the photovoltaic device sell power to the grid via the inverter; wherein the second total power demand includes the preset power consumption of the charging pile at the target time and the second preset power load in the smart microgrid at the target time;

[0100] When the charge of the energy storage battery is less than or equal to the preset power threshold, the wind turbine equipment and photovoltaic equipment charge the energy storage battery.

[0101] In a possible implementation, the second formulating module 220 is configured to: when the state of charge of the energy storage battery and the energy storage device at the target time is less than the second power consumption demand, and the state of charge of the energy storage battery and the energy storage device at the target time and the output of the wind turbine device at the target time are greater than or equal to the second power consumption demand, supply power to the smart microgrid by the energy storage battery and the energy storage device, and sell power to the power grid by the wind turbine device through the inverter; or

[0102] when the state of charge of the energy storage battery and the energy storage device at the target time is less than the second power consumption demand, and the state of charge of the energy storage battery and the energy storage device at the target time and the output of the wind turbine device at the target time are greater than or equal to the second power consumption demand, supply power to the smart microgrid by the energy storage battery and the energy storage device, and sell power to the power grid by the wind turbine device through the inverter; or

[0103] In a possible implementation, the second formulating module 220 is configured to: when the state of charge of the energy storage battery and the energy storage device at the target time and the output of the photovoltaic device at the target time are less than the second power consumption demand, and the state of charge of the energy storage battery and the energy storage device at the target time and the output of the wind turbine device at the target time are less than the second power consumption demand, supply power to the smart microgrid by the energy storage battery, the energy storage device, the photovoltaic device, and the wind turbine device.

[0104] In a possible implementation, the second formulating module 220 is configured to: the first preset month is a month in which the indoor temperature is greater than a first preset temperature, the second preset month is a month in which the outdoor temperature is greater than a second preset temperature and less than the first preset temperature, and the first preset temperature is greater than the second preset temperature.

[0105] Figure 3 is a schematic diagram of an energy management system based on a light-storage-direct-flexible smart microgrid provided by an embodiment of the present application. As shown in the figure, the electronic device 3 of the embodiment includes a processor 30 and a memory 31. The memory 31 stores a computer program 32. The processor 30 implements the steps in each of the method embodiments described above when executing the computer program 32. Alternatively, the processor 30 implements the functions of each module / unit in each of the device embodiments described above when executing the computer program 32. Figure 3

[0106] For example, the computer program 32 can be divided into one or more modules / units, which are stored in the memory 31 and executed by the processor 30 to complete the present application. The one or more modules / units can be a series of computer program instruction segments capable of completing a specific function, which are used to describe the execution process of the computer program 32 in the electronic device 3.

[0107] The electronic device 3 can include, but is not limited to, the processor 30 and the memory 31. Those skilled in the art can understand that the electronic device 3 can further include other components necessary for the present application, which are not shown in the figure. Figure 3 ​The electronic device 3 is merely an example and does not constitute a limitation on the electronic device 3, and can include more or fewer components than illustrated, or combine certain components, or different components, for example, the electronic device 3 can also include an input / output device, a network access device, a bus, etc.

[0108] For the convenience and brevity of description, only the above-mentioned division of each functional module / unit is exemplified, and in actual application, the above-mentioned functions can be completed by different functional modules / units according to needs. The above-mentioned modules / units can be realized in the form of hardware, software or a combination of hardware and software.

[0109] In the above embodiments, the description of each embodiment has its own emphasis, and the parts not described or recorded in a certain embodiment can be referred to the related description of other embodiments. If there is no special description and logical conflict, the terms and / or descriptions of different embodiments are consistent and can be mutually referred to, and the technical features in different embodiments can be combined to form new embodiments according to their inherent logical relationship.

[0110] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that the technical solutions recorded in the foregoing embodiments can still be modified, or some technical features can be replaced by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

Claims

1. An energy management method based on a solar-storage-direct-flexible smart microgrid, characterized in that: The photovoltaic equipment, energy storage battery, energy storage device of the piezoelectric walkway and wind turbine equipment in the smart microgrid are all connected to the DC bus through the converter, and the photovoltaic equipment, energy storage battery and wind turbine equipment are all connected to the AC bus through the inverter; When the target period is the peak electricity consumption period of the first preset month, a discharge strategy is determined based on the charge of the energy storage battery during the target period, the output of the wind turbine device and the photovoltaic device at the target time, the charge of the energy storage device at the target time, the preset power consumption of the charging pile at the target time, and the first preset power load in the smart microgrid at the target time; When the target period is the peak electricity consumption period of the second preset month, a discharge strategy is determined based on the charge of the energy storage battery and the energy storage device during the target period, the output of the wind turbine equipment and the photovoltaic equipment at the target time, the charging pile and the second preset power load in the smart microgrid.

2. The energy management method based on the PV-storage-direct-flexible smart microgrid according to claim 1 is characterized in that: The determining of the discharge strategy based on the charge of the energy storage battery during the target period, the output of the wind turbine device and the photovoltaic device at the target time, the charge of the energy storage device at the target time, the preset power consumption of the charging pile at the target time, and the first preset power load in the smart microgrid at the target time includes: When the sum of the output of the wind turbine device and the photovoltaic device at the target time and the charge of the energy storage device at the target time is greater than a first total power demand, the wind turbine device, the photovoltaic device, and the energy storage device supply power to the smart microgrid, and when there is surplus power and the energy storage battery is not at maximum power, the energy storage battery is charged; wherein the first total power demand includes the preset power consumption of the charging pile at the target time and the first preset power load in the smart microgrid at the target time; When the sum of the output of the wind turbine device and the photovoltaic device at the target time and the charge of the energy storage device at the target time is less than the first total electricity demand, and the sum of the output of the wind turbine device and the photovoltaic device at the target time and the charge of the energy storage device and the energy storage battery at the target time is greater than the first total electricity demand, the wind turbine device, the photovoltaic device, the energy storage device and the energy storage battery supply power to the smart microgrid, and the remaining power is sold to the power grid through the inverter.

3. The energy management method based on the PV-storage-direct-flexible smart microgrid according to claim 2 is characterized in that: When the sum of the output of the wind turbine device and the photovoltaic device at the target time and the charge of the energy storage device and the energy storage battery at the target time is less than the first total power demand, the wind turbine device, the photovoltaic device, and the energy storage device supply power to the charging pile, and the power grid and the energy storage battery supply power to the air conditioner in the smart microgrid.

4. The energy management method based on the PV-storage-direct-flexible smart microgrid according to claim 3 is characterized in that: The power grid and the energy storage battery supply power to the air conditioner in the smart microgrid, including: When the charge of the energy storage battery is less than or equal to a preset power threshold, power is supplied from the power grid to the air conditioner in the smart microgrid; When the sum of the output of the wind turbine device and the photovoltaic device at the target time and the charge of the energy storage device at the target time is greater than the preset power consumption of the charging pile at the target time, and when the charge of the energy storage battery is less than or equal to the preset power threshold, the wind turbine device, the photovoltaic device and the energy storage device charge the energy storage battery.

5. The energy management method based on the PV-storage-direct-flexible smart microgrid according to claim 1 is characterized in that: The determining of the discharge strategy based on the charge of the energy storage battery and the energy storage device during the target period, the output of the wind turbine device and the photovoltaic device at the target time, the charging pile and the second preset power load in the smart microgrid includes: When the charge of the energy storage battery and the energy storage device at the target time is greater than the second power demand, the energy storage battery and the energy storage device supply power to the smart microgrid, and the wind turbine device and the photovoltaic device sell electricity to the power grid via the inverter; wherein the second total power demand includes the preset power consumption of the charging pile at the target time and the second preset power load in the smart microgrid at the target time; When the charge of the energy storage battery is less than or equal to a preset charge threshold, the wind turbine device and the photovoltaic device charge the energy storage battery.

6. The energy management method based on the PV-storage-direct-flexible smart microgrid according to claim 5 is characterized in that: When the charge of the energy storage battery and the energy storage device at the target time is less than the second power demand, and the sum of the charge of the energy storage battery and the energy storage device at the target time and the output of the photovoltaic device at the target time is greater than or equal to the second power demand, the energy storage battery and the energy storage device supply power to the smart microgrid, and the wind turbine device sells electricity to the power grid through the inverter; or When the charge of the energy storage battery and the energy storage device at the target time is less than the second power demand, and the sum of the charge of the energy storage battery and the energy storage device at the target time and the output of the wind turbine device at the target time is greater than or equal to the second power demand, the energy storage battery and the energy storage device supply power to the smart microgrid, and the photovoltaic device sells electricity to the power grid through the inverter.

7. The energy management method based on the PV-storage-direct-flexible smart microgrid according to claim 6 is characterized in that: When the sum of the charges of the energy storage battery and the energy storage device at the target time and the output of the photovoltaic device at the target time is less than the second power demand, and the sum of the charges of the energy storage battery and the energy storage device at the target time and the output of the wind turbine device at the target time is less than the second power demand, the energy storage battery, the energy storage device, the photovoltaic device and the wind turbine device jointly supply power to the smart microgrid.

8. The energy management method based on the PV-storage-direct-flexible smart microgrid according to claim 1 is characterized in that: The first preset month is a month when the indoor temperature is greater than the first preset temperature, the second preset month is a month when the outdoor temperature is greater than the second preset temperature and less than the first preset temperature, and the first preset temperature is greater than the second preset temperature.

9. An energy management device based on a solar-storage-direct-flexible smart microgrid, characterized in that: The photovoltaic equipment, energy storage battery, energy storage device of the piezoelectric walkway and wind turbine equipment in the smart microgrid are all connected to the DC bus through the converter, and the photovoltaic equipment, energy storage battery and wind turbine equipment are all connected to the AC bus through the inverter; a first formulation module, configured to determine a discharge strategy based on the charge of the energy storage battery during the target period, the output of the wind turbine device and the photovoltaic device at the target time, the charge of the energy storage device at the target time, the preset power consumption of the charging pile at the target time, and the first preset power load in the smart microgrid at the target time, when the target period is the peak power consumption period of the first preset month; The second formulation module is used to determine a discharge strategy based on the charge of the energy storage battery and the energy storage device during the target period, the output of the wind turbine equipment and the photovoltaic equipment at the target time, the charging pile and the second preset power load in the smart microgrid when the target period is the peak power consumption period of the second preset month.

10. An energy management system based on a solar-storage-direct-flexible smart microgrid, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method according to any one of claims 1 to 8 is implemented.

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