A future community green energy collaborative storage scheduling and interaction method based on a starting cost function

Abstract

The application discloses a future community green energy collaborative storage scheduling and interaction method based on a starting cost function. The application unifies the indicators of the energy storage device itself, such as temperature, service life, charge and discharge times, state of charge (SoC) depth, quantifies the indicators into economic costs, and constructs a starting cost function together with economic indicators such as green electricity use subsidies and tiered electricity prices, and uses the function as the basis for whether the energy storage device starts power supply, thereby effectively improving the green energy collaborative storage scheduling and interaction level of the micro-grid in the future community, park, campus, school district, and promoting the low-carbonization or even carbon-free transformation of future community management.

Description

Technical Field

[0001] This invention relates to the field of collaborative storage, scheduling and interaction of green energy in future communities, and in particular to a method for collaborative storage, scheduling and interaction of green energy in future communities based on a startup cost function. Background Technology

[0002] With the introduction of the "dual carbon" target, the application of green energy is rapidly permeating people's daily lives, and low-carbon future communities are increasingly becoming an important aspect of improving the urban and rural landscape and building community energy infrastructure. As community microgrid systems mature, these power network systems, which can operate independently or connected to the grid, increasingly utilize renewable energy technologies, making it possible to integrate renewable resources such as photovoltaics and small-scale wind power into communities. However, solar and wind power generation systems, due to their clean and renewable characteristics, are also increasingly being incorporated into community microgrid systems. But due to the influence of weather and environmental factors, their power supply is intermittent and fluctuating, thus failing to provide a continuous and stable power supply. This will reduce the operating efficiency of future community microgrid systems in two ways: firstly, when distributed power sources provide sufficient supply, a large amount of electrical energy will not be effectively utilized. Although energy storage devices can absorb some of the excess electricity at this time, their effect is limited and a large number of energy storage units are required, which greatly increases the investment and maintenance costs of the community microgrid system. On the other hand, when the distributed green power supply is insufficient, the load cannot get enough power and is restricted. In particular, when important loads such as elevators and fire-fighting equipment in the system are underpowered, the resulting losses will be more serious.

[0003] With the development of technology, many energy storage devices, such as electric vehicles, have the ability to reverse charge other devices. In addition, the existing energy storage devices such as batteries in the community microgrid system can be used for green energy collaborative storage scheduling and interaction, which is expected to solve this problem. Summary of the Invention

[0004] The purpose of this invention is to address the shortcomings of existing technologies by providing a future community green energy collaborative storage scheduling and interaction method based on a startup cost function. This method unifies the energy storage device's own performance indicators such as temperature, lifespan, charge / discharge cycles, and state-of-charge (SoC) depth, quantifying these into economic costs. These costs are then combined with green electricity subsidies and tiered pricing to form a startup cost function, which serves as the basis for determining whether the energy storage device should start supplying power. By rationally managing the charge / discharge states of the energy storage device, the utilization rate of green energy is significantly improved, while simultaneously maximizing the benefits of the energy storage device throughout its entire lifecycle. This method has higher scalability and practicality. Therefore, this invention adopts the following technical solution:

[0005] The specific steps of this invention are as follows:

[0006] (1) Sample at time interval Δt to obtain various state information of the community distributed power grid system at the current time, including the output power of each distributed green energy (DG) in the system, the power demand of each power load (L), the setting state of each energy storage device and its state of charge (SOC), and calculate the total output power of all distributed green energy (DG) and the total power demand of all power loads (L) in the system.

[0007] When the total output power of all distributed green energy (DG) devices in the system exceeds the total electricity demand of all electrical loads (L), then all energy storage devices in the system are treated as electrical loads. Actions are then taken based on the individual settings of each energy storage device and its current State of Charge (SoC). Specifically, if an energy storage device is currently set to "rechargeable" and its SoC is less than its maximum capacity threshold (SoC...), then... max That is, SoC < SoC max If the energy storage device is charged, it will function as an electrical device; otherwise, if its SoC state of charge is not less than its maximum capacity threshold (SoC... max That is, SoC ≥ SoC max In this case, the energy storage device is neither used to charge electrical equipment nor to discharge power.

[0008] When the total output power of distributed green energy (DG) in the system is less than the total electricity demand of all electrical loads L, then each energy storage device in the system will be configured according to its own set state, its current SoC state of charge, and its startup cost function. To determine whether to act as a power source supplying reverse power to the system, the following conditions must be met: its own set state is "dischargeable" and its current SoC state of charge is greater than its minimum capacity threshold (SoC). min And less than its maximum capacity threshold (SoC) max And start the cost function It is a positive value, that is Then it is determined that the energy storage device can be used as a "dischargeable power source" to supply power to the system, and step (2) is executed;

[0009] Startup cost function of energy storage devices It can be represented as:

[0010]

[0011] Among them, the temperature lifetime cost function of energy storage equipment It can be represented as:

[0012]

[0013] Where Cost is the purchase price of the energy storage equipment; Δt is the system sampling time in hours; T is the current equipment temperature; and t(T) is the temperature lifespan curve function of the energy storage equipment. This function can be obtained using the least squares method based on the design temperature lifespan curve of the energy storage equipment. This curve is affected by factors such as the characteristics of the energy storage equipment itself and the operating environment temperature. It is originally provided by the equipment manufacturer and can be found in the appendix. Figure 2 As shown.

[0014] Charge and discharge cost function It can be represented as:

[0015]

[0016] Where Cost is the purchase price of the energy storage equipment; Times is the design charge / discharge cycle of the energy storage equipment. Let the charging cost function be... The discharge cost function is denoted by SoC; SoC ∈ [0, 100%] represents the current state of charge of the energy storage device. High ∈[0,100%] represents the highest lossless state of charge (SOC) under lossless operation conditions for the energy storage device. Low ∈[0,100%] represents the lowest state of charge of the energy storage device under non-destructive operating conditions.

[0017] Benefit function It can be represented as:

[0018]

[0019] Among them, f Total (Δt) is the total price function of community green energy electricity at the sampling time; Capacity is the total designed capacity of energy storage equipment; For charging revenue function; Let f be the discharge revenue function. Where f is the total price function of community green energy electricity consumption at the sampling time. Total (Δt) can be expressed as:

[0020] f Total (Δt)=f allowance (Δt)+f green (Δt)-f grid (Δt)

[0021] Among them, f allowance (Δt) represents the subsidy price for green energy at the sampling time; f green (Δt) represents the market price of green energy electricity at the sampling time; f grid (Δt) represents the market power supply price at the sampling time, which is usually represented by the tiered electricity price of the community.

[0022] When it is set to "dischargeable" and its SoC state of charge is greater than its minimum capacity threshold (SoC min And less than its maximum capacity threshold (SoC) max And start the cost function It is a positive value, that is Then it is determined that the energy storage device can be used as a "dischargeable power source" to supply power to the system, and (2) is executed.

[0023] (2) Energy storage devices classified as "dischargeable power sources" will be classified according to their... The values ​​are sorted from largest to smallest, and a discharge operation is performed until the "dischargeable" setting is changed, or the SoC state of charge is less than its minimum capacity threshold (SoC). min ), or It becomes a negative value, that is... Then the energy storage device stops supplying power to the system, and the next energy storage device in the queue continues to discharge until all energy storage devices in the system reach their discharge threshold. Until the current status is reached.

[0024] This invention, by designing and introducing a startup cost function, creatively unifies the energy storage device's own performance indicators such as temperature, lifespan, charge / discharge cycles, and state-of-charge (SoC) depth, quantifying them into economic costs. These costs are then combined with economic indicators such as green electricity subsidies and tiered electricity pricing to form the startup cost function, which serves as the basis for determining whether the energy storage device should start supplying power. This function has high practical rationality; a positive startup cost function indicates that discharging power into the system by the device is "cost-effective" for the device owner and beneficial to the entire future community microgrid system, making it an appropriate criterion. This invention is of significant importance and value in improving the level of green energy collaborative storage scheduling and interaction in microgrids in future communities, industrial parks, residential areas, and school campuses; enhancing people's green production and quality of life; promoting the transformation of future community management towards low-carbon or even carbon-free practices; and utilizing efficient green energy.

[0025] The main features of this invention are reflected in the following aspects:

[0026] (1) This invention unifies the energy storage device’s own indicators such as temperature, lifespan, number of charge and discharge cycles, and state of charge (SoC) depth, quantifies them into economic costs, and together with green electricity subsidies, tiered electricity prices and other economic indicators, it constitutes a startup cost function, and uses this function as the basis for whether the energy storage device starts to supply power.

[0027] (2) This invention improves the utilization rate of green energy by rationally arranging the charging and discharging states of energy storage devices; at the same time, it maximizes the benefits of energy storage devices throughout their entire life cycle.

[0028] (3) This method makes full use of the energy storage equipment and platforms that are widely available in future communities, and optimizes the community microgrid system without significantly increasing the cost of new construction, thus having higher scalability and practicality. Attached Figure Description

[0029] Figure 1 This is a flowchart of the collaborative storage scheduling and interaction method of the present invention.

[0030] Figure 2 A schematic diagram of the temperature life curve for battery design. Detailed Implementation

[0031] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined with each other as long as they do not conflict with each other.

[0032] Referring to the accompanying drawings, the specific steps of the future community green energy collaborative storage scheduling and interaction method based on the startup cost function provided by the present invention are as follows:

[0033] (1) Sample at time interval Δt to obtain various state information of the community distributed power grid system at the current time, including the output power of each distributed green energy (DG) in the system, the power demand of each power load (L), the setting state of each energy storage device and its state of charge (SOC), and calculate the total output power of all distributed green energy (DG) and the total power demand of all power loads (L) in the system.

[0034] When the total output power of all distributed green energy (DG) devices in the system exceeds the total electricity demand of all electrical loads (L), then all energy storage devices in the system are treated as electrical loads. Actions are then taken based on the individual settings of each energy storage device and its current State of Charge (SoC). Specifically, if an energy storage device is currently set to "rechargeable" and its SoC is less than its maximum capacity threshold (SoC...), then... max That is, SoC < SoC max If the energy storage device is charged, it will function as an electrical device; otherwise, if its SoC state of charge is not less than its maximum capacity threshold (SoC... max That is, SoC ≥ SoC max In this case, the energy storage device is neither used to charge electrical equipment nor to discharge power.

[0035] When the total output power of distributed green energy (DG) in the system is less than the total electricity demand of all electrical loads L, then each energy storage device in the system will be configured according to its own set state, its current SoC state of charge, and its startup cost function. To determine whether to act as a power source supplying reverse power to the system, the following conditions must be met: its own set state is "dischargeable" and its current SoC state of charge is greater than its minimum capacity threshold (SoC). min And less than its maximum capacity threshold (SoC) max And start the cost function It is a positive value, that is Then it is determined that the energy storage device can be used as a "dischargeable power source" to supply power to the system, and step (2) is executed;

[0036] Startup cost function of energy storage devices It can be represented as:

[0037]

[0038] Among them, the temperature lifetime cost function of energy storage equipment It can be represented as:

[0039]

[0040] Where Cost is the purchase price of the energy storage equipment; Δt is the system sampling time in hours; T is the current equipment temperature; and t(T) is the temperature lifespan curve function of the energy storage equipment. This function can be obtained using the least squares method based on the design temperature lifespan curve of the energy storage equipment. This curve is affected by factors such as the characteristics of the energy storage equipment itself and the operating environment temperature. It is originally provided by the equipment manufacturer and can be found in the appendix. Figure 2 As shown.

[0041] Charge and discharge cost function It can be represented as:

[0042]

[0043] Where Cost is the purchase price of the energy storage equipment; Times is the design charge / discharge cycle of the energy storage equipment. Let the charging cost function be... The discharge cost function is denoted by SoC; SoC ∈ [0, 100%] represents the current state of charge of the energy storage device. High ∈[0, 100%] represents the highest lossless state of charge (SOC) under lossless operation conditions for the energy storage device. Low ∈[0,100%] represents the lowest state of charge of the energy storage device under non-destructive operating conditions.

[0044] Benefit function It can be represented as:

[0045]

[0046] Among them, f Total (Δt) is the total price function of community green energy electricity at the sampling time; Capacity is the total designed capacity of energy storage equipment; For charging revenue function; Let f be the discharge revenue function. Where f is the total price function of community green energy electricity consumption at the sampling time. Total (Δt) can be expressed as:

[0047] f Total (Δt)=f allowance (Δt)+f green (Δt)-f grid (Δt)

[0048] Among them, f allowance (Δt) represents the subsidy price for green energy at the sampling time; f green (Δt) represents the market price of green energy electricity at the sampling time; f grid (Δt) represents the market power supply price at the sampling time, which is usually represented by the tiered electricity price of the community.

[0049] When it is set to "dischargeable" and its SoC state of charge is greater than its minimum capacity threshold (SoC min And less than its maximum capacity threshold (SoC) max And start the cost function It is a positive value, that is Then it is determined that the energy storage device can be used as a "dischargeable power source" to supply power to the system, and (2) is executed.

[0050] (2) Energy storage devices classified as "dischargeable power sources" will be classified according to their... The values ​​are sorted from largest to smallest, and a discharge operation is performed until the "dischargeable" setting is changed, or the SoC state of charge is less than its minimum capacity threshold (SoC). min ), or It becomes a negative value, that is... Then the energy storage device stops supplying power to the system, and the next energy storage device in the queue continues to discharge until all energy storage devices in the system reach their discharge threshold. Until the current status is reached.

[0051] Those skilled in the art will readily understand that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A future community green energy collaborative storage scheduling and interaction method based on a startup cost function, characterized in that, Includes the following steps: (1) By time interval Sampling is used to obtain various state information of the community distributed power grid system at the current moment, including the output power of each distributed green energy source in the system, the electricity demand of each load, the setting status and charge status of each energy storage device, and to calculate the total output power of all distributed green energy sources and the total electricity demand of all loads in the system. When the total output power of all distributed green energy sources in the system exceeds the total electricity demand of all electrical loads, all energy storage devices in the system are treated as electrical loads. Then, actions are taken based on the individual settings and the current SoC (State of Charge) of each energy storage device. Specifically, if an energy storage device is currently set to "rechargeable" and its SoC is less than its maximum capacity threshold... Right now If the energy storage device is charged, it will function as an electrical device; otherwise, if its SoC state of charge is not less than its maximum capacity threshold, it will be charged. Right now In this case, the energy storage device is neither used to charge electrical equipment nor to discharge power. When the total output power of distributed green energy in the system is less than the total electricity demand of all electrical loads, each energy storage device in the system will be configured according to its own set state, its current SoC state of charge, and its startup cost function. To determine whether to act as a power source to supply reverse power to the system, the following conditions must be met: The system's own set state is "dischargeable" and its current SoC state of charge is greater than its minimum capacity threshold. And less than its maximum capacity threshold And start the cost function It is a positive value, that is If so, it is determined that the energy storage device can be used as a "dischargeable power source" to supply power to the system, and step (2) is executed. (2) Energy storage devices classified as "dischargeable power sources" shall be classified according to their... The values ​​are sorted from largest to smallest, and a discharge operation is performed until the "dischargeable" setting is changed or the SoC state of charge is less than its minimum capacity threshold. or It becomes a negative value, that is... If the energy storage device stops supplying power to the system, the next energy storage device in the sequence will continue discharging until all energy storage devices in the system reach their discharge threshold. up to the current state; Startup cost function of energy storage devices Represented as: in, For the temperature lifetime cost function of energy storage equipment; The charging and discharging cost function for energy storage devices; The benefit function for energy storage devices; Benefit function Represented as: in, Let the total price function of community green energy electricity consumption at the sampling time be denoted as ; Design the total capacity of the energy storage equipment; For charging revenue function; The discharge benefit function; Community green energy electricity total price function at sampling time Represented as: in, The subsidy price for green energy at the sampling time; The market price of green energy electricity at the time of sampling; The market power supply price at the sampling time is usually represented by the tiered electricity pricing system used in the community.

2. The future community green energy collaborative storage scheduling and interaction method based on a startup cost function as described in claim 1, characterized in that, Temperature lifetime cost function of energy storage devices Represented as: in, The purchase price of energy storage equipment; The unit is hours; The current device temperature; This is the temperature lifetime curve function for energy storage devices.

3. The future community green energy collaborative storage scheduling and interaction method based on a startup cost function as described in claim 1, characterized in that, Charge and discharge cost function Represented as: in, The purchase price of energy storage equipment; The design charge / discharge cycles for energy storage devices; Let the charging cost function be... The discharge cost function; This represents the current state of charge of the energy storage device. This represents the highest lossless state of charge under lossless operation conditions for energy storage devices. This represents the lowest state of charge for energy storage devices under non-destructive operating conditions.

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