CN113541133B

CN113541133B - Fine scheduling method for hybrid micro-grid

Info

Publication number: CN113541133B
Application number: CN202110826540.5A
Authority: CN
Inventors: 李寒江; 詹航; 夏翰林; 司萌; 刘霜; 李小菊; 李登峰; 杨旼才; 徐瑞林; 刘育明; 张颖; 宫林
Original assignee: Electric Power Research Institute of State Grid Chongqing Electric Power Co Ltd; State Grid Corp of China SGCC; State Grid Chongqing Electric Power Co Ltd
Current assignee: Electric Power Research Institute of State Grid Chongqing Electric Power Co Ltd; State Grid Corp of China SGCC; State Grid Chongqing Electric Power Co Ltd
Priority date: 2021-07-21
Filing date: 2021-07-21
Publication date: 2022-11-01
Anticipated expiration: 2041-07-21
Also published as: CN113541133A

Abstract

The invention discloses a hybrid micro-grid fine scheduling method, which comprises the following steps: determining units contained in the hybrid micro-grid, and establishing a topological structure; defining charge-discharge state switching logic of an energy storage unit in the hybrid microgrid and calculating the charge-discharge power; calculating power loss generated in the switching process of the inverter; calculating the energy cycle cost in the battery charging process and the electrolytic cell hydrogen production process; determining an optimal scheduling strategy of the charging process according to the cycle cost; calculating the cost consumed by the energy supply unit in the discharging process; the method can accurately calculate the cost of the energy storage battery, the hydrogen production process and other elements of the hybrid micro-grid, optimally distribute the charging and discharging of each energy storage unit, and cannot cause unnecessary economic loss or even influence the service life of energy storage equipment; meanwhile, the change efficiency between alternating current and direct current is effectively improved, and the economic cost is indirectly reduced.

Description

Fine scheduling method for hybrid micro-grid

Technical Field

The invention relates to the field of micro-grids, in particular to a fine scheduling method for a hybrid micro-grid.

Background

The hybrid micro-grid is a small power generation and distribution system formed by collecting a distributed power supply, an energy storage device, an energy conversion device and related load, monitoring and protection devices, and is an autonomous system capable of realizing self-control, protection and management; the existing hybrid alternating current-direct current micro-grid comprises various new energy power generation units and multi-form energy storage, and because the new energy power generation has uncertainty, in order to reduce the phenomena of wind and light abandonment, an energy storage battery and a hydrogen generation station are added into the micro-grid to store electric energy in the peak time period of the new energy power generation or provide electric energy for the power grid when the generated energy is insufficient. The consumption of different types of energy storage units during charging or discharging is related to various factors, so that a reasonable electric energy distribution strategy needs to be established to achieve optimal economic efficiency.

The current scheduling allocation scheme has the following defects: (1) Cost calculation of elements such as an energy storage battery and a hydrogen production process is not accurate enough, electric energy distribution in the charging and discharging process of an energy storage unit is unreasonable, unnecessary economic loss can be caused, and the service life of energy storage equipment is even influenced. (2) The hybrid microgrid is an alternating current-direct current hybrid system mostly, the influence of links and factors on conversion efficiency directly determines the size of surplus electric energy or shortage electric energy, the calculation of economic cost is influenced indirectly, and the influence factors are not introduced into a dispatching and distributing algorithm in the existing scheme.

Disclosure of Invention

The invention aims to: aiming at the existing problems, a hybrid micro-grid fine scheduling method is provided; the method solves the problem of inaccurate cost calculation of the hybrid micro-grid; the problem of unreasonable distribution of the charging and discharging process is solved.

The technical scheme adopted by the invention is as follows:

a fine scheduling method for a hybrid micro-grid comprises the following steps: determining units contained in the hybrid micro-grid, and establishing a topological structure; defining charge-discharge state switching logic of an energy storage unit in the hybrid microgrid and calculating the charge-discharge power; calculating power loss generated in the switching process of the inverter; calculating the energy cycle cost in the battery charging process and the electrolytic cell hydrogen production process; determining an optimal scheduling strategy of the charging process according to the cycle cost; calculating the cost consumed by the energy supply unit in the discharging process; and determining an optimal scheduling strategy of the electric energy supply according to the consumption cost.

Further, the topology includes: the system comprises a photovoltaic unit, a wind power unit, a hydroelectric generation unit, an alternating current generator, an electrolytic bath, a hydrogen storage pool, an energy storage battery, a charging management module, an inverter, an alternating current system and an alternating current/direct current load.

Further, the charge-discharge state switching logic is as follows: firstly, the generated energy P of the DC side needs to be compared_re-DCAnd a DC load P_load-DCIf P is the size of_re-DCIf it is not enough, the AC side P is determined_re-ACAnd AC side load P_load-ACIf P is the size of_re-ACIs still insufficientThe energy storage unit needs to discharge to supplement the shortage of the electric energy; if P_re-ACIf the quantity of the renewable energy on the alternating current side is excessive, judging whether the quantity of the renewable energy on the alternating current side can meet the requirement on the direct current side, if the quantity of the renewable energy on the alternating current side meets the requirement on the direct current side, charging the battery, and if the quantity of the renewable energy on the alternating current side still remains, discharging the battery; when P is present_re-DCExcess of P_re-ACThe energy storage unit is charged when the requirement of the alternating current load is met; if P_re-ACAnd if the residual electric energy on the direct current side is insufficient, judging whether the residual electric energy on the direct current side can meet the shortage of the alternating current load, if the residual electric energy on the direct current side cannot meet the shortage of the alternating current load, the energy storage and discharge are needed to be used as supplement, and if the residual electric energy on the direct current side can meet the shortage of the alternating current load, the charging is carried out.

Further, the calculating the inverter switching power loss comprises calculating the on-off loss and the on-state loss of the switch; the breaking loss calculation formula is as follows:

the on-state loss calculation formula is as follows:

wherein, V_dsFor the voltage across the drain and source of the switching tube, I_dFor the current flowing through the switching tube, f_swTo the switching frequency, T₀One fundamental period.

Further, the method for calculating the cycle cost of the battery charging process comprises the following steps:

wherein C_batIs the collection cost of the battery house, C_NIs the nominal capacity of the battery, N_{bat_p}Is the number of parallel batteries, U_DCIs the DC bus voltage, N_cycleIs the average value of the life of the battery over the equivalent full cycle.

Further, the method for calculating the energy circulation cost in the hydrogen production process of the electrolytic cell comprises the following steps:

wherein L is_ElyzFor cell life, L_FCFor hydrogen fuel cell life, C_O&M-ElyzFor operating and maintenance costs of the cell, C_O&M-FCFor the cost of operating and maintaining the hydrogen fuel cell,C_elyzand C_FCThe purchase costs of the electrolyzer and the fuel cell, eta, respectively_FCFor the consumption of H per kg in hydrogen fuel cells₂The converted electric quantity, eta_ElyzIs H produced per degree of electricity consumed in the cell₂Amount of the compound (A).

Further, the method for determining the optimal scheduling strategy in the charging process comprises the following steps: calculating a critical power point through a relation curve chart among the energy cycle cost of the charging process, the energy cycle cost of the hydrogen production process of the electrolytic cell and the charging power, wherein the formula is as follows:

further, calculating the cost of the energy supply unit consumed during the discharging process includes: calculating the functional cost of the energy supply of the battery, wherein the formula is as follows:

wherein, F_DCThe proportion of the direct current load in the total load in each day is obtained by taking one year as a sample period; calculating the cost of energy supplied by the alternator according to the formula:

wherein, C_fuelRepresenting the price cost of the fuel of the generator, A and B being two coefficients of the consumption curve of the generator, C_O&M-genIs the cost of operation and maintenance of the generator, C_genIs the acquisition cost of the alternator, L_genIs the estimated life of the alternator; and calculating the energy supply cost of the hydrogen fuel cell for the load, wherein the formula is as follows:

or

Wherein C_H2The cost of purchasing hydrogen.

Further, the method for determining the optimal scheduling strategy of the electric energy supply comprises the following steps: the optimal strategy is determined by a functional relationship between the cost of the energy supply unit and the discharge power.

In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:

1. the method can accurately calculate the cost of the energy storage battery, the hydrogen production process and other elements of the hybrid micro-grid, and can optimally distribute the charging and discharging of each energy storage unit so as to ensure the lowest cost, avoid unnecessary economic loss and even influence the service life of the energy storage equipment.

2. The invention also effectively improves the change efficiency between alternating current and direct current, and indirectly reduces the economic cost.

Drawings

The invention will now be described, by way of example, with reference to the accompanying drawings, in which:

fig. 1 is a flowchart of a fine scheduling method of a microgrid.

Fig. 2 is a topological structure diagram of a hybrid microgrid.

Fig. 3 is a flow chart of logic determination for charging and discharging the energy storage unit.

Fig. 4 is a voltage and current waveform diagram of the switching tube on and off process on a single bridge arm.

Fig. 5 is a graph of the energy cycle cost of the energy storage unit versus power during charging.

Fig. 6 is a graph of cost versus power for each energy supply unit during discharge.

Detailed Description

All of the features disclosed in this specification, or all of the steps in any method or process so disclosed, may be combined in any combination, except combinations of features and/or steps that are mutually exclusive.

Any feature disclosed in this specification (including any accompanying claims, abstract) may be replaced by alternative features serving equivalent or similar purposes, unless expressly stated otherwise. That is, unless expressly stated otherwise, each feature is only an example of a generic series of equivalent or similar features.

Example 1

A hybrid microgrid refined scheduling method, as shown in fig. 1, includes:

s1: and determining units contained in the hybrid microgrid and establishing a topological structure.

In the above step, the topological structure is as shown in fig. 2, and includes: the system comprises a photovoltaic unit, a wind power unit, a hydroelectric generation unit, an alternating current generator, an electrolytic bath, a hydrogen storage pool, an energy storage battery, a charging management module, an inverter, an alternating current system and an alternating current/direct current load; the photovoltaic unit and the wind power unit are connected with the electrolytic cell, the electrolytic cell is connected with the charging management module through hydrogen fuel cells of the hydrogen storage cell, and the charging management module is also connected with the energy storage cell, the rectifier AC/DC and the direct current load respectively; the hydroelectric power generation unit is connected with an alternating current generator, a rectifier AC/DC and an alternating current load; the inverter is respectively connected with an alternating current load and a direct current load.

In this embodiment, the basic control rules in normal operation are as follows: the renewable energy source generates priority supply load, if the energy generated by the renewable energy source exceeds the required load, the residual electric energy is used as charging power P_chargeFor charging batteries or for producing hydrogen in electrolysis cells, P_chargeMay also contain the residual P of the AC side power supply_re-ACThe direct current is converted to the direct current side to supply power to the energy storage unit; conversely, if the renewable energy cannot meet the demand on the load side, the insufficient amount of electricity is supplied from the battery, H₂Fuel cell generation, the electric energy being discharge power P_discharge。

S2: and defining the charge-discharge state switching logic of the energy storage unit in the hybrid microgrid and calculating the charge-discharge power.

As shown in FIG. 3, in the above steps, first, the amount of power generation P of renewable energy is compared on the DC side_re-DCAnd a DC load P_load-DCThe renewable energy source is photovoltaic and wind energy.

If P_re-DCIf the power is insufficient, the alternating current side is judged to be the hydroelectric power generation amount P_re-ACAnd AC side load P_load-ACIf P is the size of_re-ACIf the shortage still exists, the energy storage unit needs to discharge to supplement the shortage of the electric energy, and the formula is as follows:

P_discharge＝(P_load-DC-P_re-DC)-(P_re-AC-P_load-AC)*η_AC/DC

if P_re-ACIf the renewable energy electric quantity on the alternating current side can meet the requirement on the direct current side, the battery is charged, and the formula is as follows:

P_charge＝(P_re-AC-P_load-AC)*η_AC/DC-(P_load-DC-P_re-DC)

otherwise, discharging is performed, and the formula is as follows:

P_discharge＝(P_load-DC-P_re-DC)-(P_re-AC-P_load-AC)*η_AC/DC

in the process, the efficiency eta of AC-DC conversion needs to be considered_AC/DC。

On the contrary, when P_re-DCExcess of P_re-ACWhen the requirement of the alternating current load is met, the energy storage unit is charged, and the formula is as follows:

P_charge＝(P_re-DC-P_load-DC)+(P_re-AC-P_load-AC)*η_AC/DC

if P_re-ACIf the residual electric energy of the direct current side can not meet the shortage of the alternating current load, the energy storage and discharge are needed to be supplemented if the residual electric energy of the direct current side can not meet the shortage, and the charging is carried out if the residual electric energy of the direct current side can meet the shortage, wherein the formula is as follows:

P_charge＝(P_re-AC-P_load-AC)-min[P_inv-max,(P_re-DC-P_load-DC)]*η_inv

however, in this process, the maximum active power P that the inverter can bear needs to be considered_inv-maxIf the amount of renewable energy exceeds P_inv-maxThe electric energy transmitted from the DC side to the AC side can only be P at most_inv-maxThe formula is as follows:

P_charge＝(P_re-DC-P_load-DC)-P_inv-max

if the residual amount of renewable energy does not exceed P_inv-maxThen charging is performed, and the formula is:

P_charge＝(P_re-DC-P_load-DC)-(P_load-AC-P_re-AC)/η_inv

s3: and calculating the power loss generated in the switching process of the inverter.

In the steps, a three-phase full-bridge inverter is adopted, a topological structure of the inverter comprises 6 switching tubes, the parameters of the switching tubes depend on the selected model, but the loss calculation mode is general; in this embodiment, power loss calculation is performed through the switching tube of a single bridge arm.

Since the on and off time of the switching tube cannot be 0, there are on and off losses, as shown in fig. 3, where t can be seen₁-t₂To the on-time, t₃-t₄For the off-time, the turn-on loss of its single switching tube is therefore:

in addition, due to the on-resistance R_ds(on)The switching tube also has on-state loss, and the formula is as follows:

v in the above formula_dsFor switching the voltage across the drain and source terminals of the tube, I_dFor the current flowing through the switching tube, f_swTo the switching frequency, T₀One fundamental period.

The total loss of the entire inverter can be approximately considered to be 6 times the loss of a single switching device, P_a＝6(P_ton+P_toff+P_on). In addition, the filter loss P of the inverter_LCan be obtained by a data manual, and the value of the data manual is related to the switching frequency; stray loss on the line is too trivial and neglected, and then the inverter efficiency eta_invCan be expressed as P- (P)_a+P_L)/P。

S4: and calculating the energy circulation cost in the battery charging process and the electrolytic cell hydrogen production process.

In the steps, the optimal scheduling strategy is derived according to the cycle cost of the two energy storage units at different charging and discharging powers

The first charging energy storage selection: on the premise of knowing the charging power, the cost C of the energy cycle process of charging the energy storage battery can be calculated through a formula_{cycle-battery}The formula is as follows:

wherein C is_batIs the collection cost of the battery house, C_NIs the nominal capacity of the battery, in Ah, N_{bat_p}Is the number of parallel cells, U_DCIs the DC bus voltage, N_cycleIs the average value of the life of the battery in the equivalent whole period; assuming that the battery can cycle through a certain and finite amount of energy, divided by its nominal capacity, gives an equivalent full-cycle average life; finally, eta_globalIs the overall efficiency of the cell, i.e. the round-trip efficiency; calculating C_{cycle-battery}While the oxygen content of the battery can be adjusted&M, i.e. the operation and maintenance cost, is regarded as a fixed value in a period of time, does not depend on the performance and the charging and discharging conditions of the battery, and therefore the influence thereof is ignored.

And the second charging energy storage selection: calculating the cost C of the circular energy process of hydrogen production by the electrolytic cell and hydrogen as fuel_cycle-H2The formula is as follows:

from the cost calculation formula, it can be seen that, for the hydrogen energy storage cycle, the value is related to the charging power P_chargeThere is no correlation, since the cell L in the formula_ElyzAnd a hydrogen fuel cell L_FCLife of the electrolytic cell, and the cost of operating and maintaining the electrolytic cell C_O&M-ElyzAnd hydrogen fuel cellCost of operation and maintenance C_O&M-FCRegardless of the magnitude of the charging power. In the formula C_elyzAnd C_FCRespectively, the purchase costs of the electrolyzer and the fuel cell. Eta_FCRepresenting the consumption of H per kg in a hydrogen fuel cell₂The amount of electricity converted; eta_ElyzIs H produced per degree of electricity consumed in the cell₂Amount of the compound (A).

S5: and determining an optimized scheduling strategy of the charging process according to the cycle cost.

In the above steps, the method for determining the optimal scheduling strategy in the charging process comprises: calculating a critical power point through a relation curve graph between the energy cycle cost in the charging process, the energy cycle cost in the hydrogen production process of the electrolytic cell and the charging power, as shown in fig. 5, before the critical point, the optimal cost of using the battery as the energy storage is lower; on the contrary, hydrogen energy storage is preferred, and the calculation formula of the critical power point is as follows:

therefore, the optimal scheduling strategy of the charging process can be implemented by the following ways:

(1) If P_charge≤P_cr-chargeAnd then, the given electric energy in the micro-grid system is charged to the energy storage battery as much as possible, so that the storage of the electric energy is realized. If the cell is saturated, it continues to be used for H production in the cell₂。

(2) If P_charge>P_cr-chargeThen preferentially produce H in the electrolytic cell₂And storing the residual electric energy in the hydrogen storage tank, and charging the energy storage battery if the residual electric energy still exists.

In addition, if the electrolyzer unit is designed to have a minimum charging power P_min-ElyzThen P is_cr-chargeThe curve intersection point and P should be selected_min-ElyzOf (2), i.e. P_cr-charge＝max(P_cr-charge,P_min-Elyz)。

S6: and calculating the cost consumed by the energy supply unit in the discharging process.

In the above steps, the cost consumed by different units in the discharging process needs to be calculated, and when the electric energy provided by the renewable energy source in the system is insufficient, an energy storage battery, a hydrogen fuel cell or an alternating current generator can be selected to supply power to the load.

When the energy storage battery is used for supplying electric energy, when P is_dischargeOnce at all, its functional cost C_out-batteryThe calculation formula is as follows:

factor F is calculated in the formula_DCThe proportion of the direct current load in the total load in each day is shown by taking one year as a sample period, wherein C_batIs the collection cost of the battery house, C_NIs the nominal capacity, N, of the battery_{bat_p}Is the number of parallel batteries, U_DCIs the DC bus voltage, N_cycleIs the average value of the life of the battery, eta, over the equivalent full period_globalIs the overall efficiency of the cell, i.e., the round-trip efficiency. Since the direct current load and the alternating current load need to be distinguished from each other in the formula, the battery needs to be converted by the inverter to supply power to the alternating current load, which relates to the conversion efficiency eta of the inverter_inv。

Said F_DCThe calculation formula of (2) is as follows:

in the formula P_load-DCiThe magnitude of the day i DC load, P_load-ACiThe magnitude of the i day alternating load.

Supplied by an alternator, at a cost C_out-genThe calculation formula of (2) is as follows:

wherein C is_fuelRepresenting the price cost of the generator fuel, A and B are two coefficients of the generator consumption curve, considered knownIs determined. C_O&M-genIs the cost of operation and maintenance of the generator, C_genIs the cost of acquisition of the alternator, L_genIs the estimated life of the alternator. Similarly, the AC power supply needs to supply power to the DC load by AC/DC converting electric energy through the rectifier, and eta needs to be considered in the formula_AC/DC。

The load is supplied with energy by a hydrogen fuel cell, and if hydrogen gas as fuel is produced from an electrolytic cell and stored in a hydrogen storage tank, the cost of supplying the hydrogen fuel is fixed by the formula:

in the formula C_FCIs the purchase cost of the fuel cell, L_FCIs the fuel cell life, C_O&M-FCCosts for operating and maintaining the hydrogen fuel cell.

If there is no electrolyzer in the entire microgrid system and hydrogen is obtained from external sources, then its cost and P_dischargeCorrelation, the formula is:

wherein C is_H2Cost of hydrogen purchase, A_FC、B_FCIs the coefficient (which can be considered a constant) of the fuel cell consumption equation, F_DCIs DC load annual duty ratio, eta_invThe conversion efficiency of the inverter.

S7: and determining an optimal scheduling strategy of the electric energy supply according to the consumption cost.

In the above steps, the method for determining the optimal scheduling strategy of the electric energy supply comprises the following steps: by energy supply unit cost and discharge power P_dischargeAs a function of the power of 0 to P, as shown in fig. 6_d1When the interval is within, the energy storage battery is the optimal energy supply selection; when the power exceeds P_d1Then, the functional units are switched, and the specific selection depends on the energy supply cost of the hydrogen fuel and the energy supply cost of the alternating current motorSlope of the curve of this, P_d1Corresponding power point is P_d1genAnd P_d1FCThe smaller of these; there may also be a value P_d2Which is the intersection of the hydrogen curve and the ac machine curve.

Thus, the optimal scheduling strategy for discharge energization is:

(1)P_discharge<P_d1and the load is powered by the energy storage battery at the moment.

(2)P_d2<P_discharge<P_d1The load is composed of P_d1The lower value energy storage unit is responsible for energy supply.

(3)P_discharge>P_d2The load is then from P_d1The higher value energy storage unit is responsible for energy supply.

In this embodiment, if the power supplied by a single power supply unit is insufficient, the power supply is continued with a lower cost in the curve. In addition, depending on the slope of each curve, P may also appear_d2<P_d1In case of P_d1<P_dischargeIs responsible for P_d1The energy storage units with lower values supply energy.

The method can accurately calculate the cost of the elements such as the energy storage battery of the hybrid microgrid, the hydrogen production process and the like, and can optimally distribute the charging and discharging of each energy storage unit so as to ensure the lowest cost, avoid unnecessary economic loss and even influence the service life of the energy storage equipment; meanwhile, the change efficiency between alternating current and direct current is effectively improved, and the economic cost is indirectly reduced.

The invention is not limited to the foregoing embodiments. The invention extends to any novel feature or any novel combination of features disclosed in this specification, and to any novel method or process steps or any novel combination of steps disclosed.

Claims

1. A hybrid microgrid fine scheduling method is characterized by comprising the following steps: determining units contained in the hybrid microgrid, and establishing a topological structure; defining charge-discharge state switching logic of an energy storage unit in the hybrid microgrid and calculating the charge-discharge power; calculating power loss generated in the switching process of the inverter; calculating the energy cycle cost in the battery charging process and the electrolytic cell hydrogen production process; determining an optimized scheduling strategy of the charging process according to the cycle cost; calculating the cost consumed by the energy supply unit in the discharging process; determining an optimal scheduling strategy of the electric energy supply according to the consumption cost;

calculating the cost of energy supply unit consumption during discharge comprises: calculating the functional cost of the energy supply of the battery, wherein the formula is as follows:

wherein, C_fuelRepresenting the price cost of the fuel of the generator, A and B are two coefficients of the consumption curve of the generator, C_O&M-genIs the cost of operation and maintenance of the generator, C_genIs the cost of acquisition of the alternator, L_genIs the estimated life of the alternator; calculating the energy supply cost of the hydrogen fuel cell for the load, wherein the formula is as follows:

or

Wherein C is_H2The cost of purchasing hydrogen.

2. The hybrid microgrid refined scheduling method of claim 1, wherein the topology includes: the system comprises a photovoltaic unit, a wind power unit, a hydroelectric generation unit, an alternating current generator, an electrolytic bath, a hydrogen storage pool, an energy storage battery, a charging management module, an inverter, an alternating current system and an alternating current/direct current load.

3. The hybrid microgrid fine scheduling method of claim 1, wherein the charge and discharge state switching logic is as follows: firstly, the generated energy P of the DC side needs to be compared_re-DCAnd a DC load P_load-DCIf P is the size of_re-DCIf it is not enough, the AC side P is determined_re-ACTo the AC side load P_load-ACIf P is the size of_re-ACIf the energy is still insufficient, the energy storage unit needs to discharge to supplement the shortage of the electric energy; if P_re-ACIf the renewable energy is excessive, judging whether the renewable energy electric quantity on the alternating current side can meet the requirement on the direct current side, if so, charging the battery, otherwise, discharging; when P is present_re-DCIs excessive and P_re-ACThe energy storage unit is charged when the requirement of the alternating current load is met; if P_re-ACAnd if the residual electric energy on the direct current side is insufficient, judging whether the residual electric energy on the direct current side can meet the shortage of the alternating current load, if the residual electric energy on the direct current side cannot meet the shortage of the alternating current load, the energy storage and discharge are needed to be used as supplement, and if the residual electric energy on the direct current side can meet the shortage of the alternating current load, the charging is carried out.

4. The hybrid microgrid fine scheduling method of claim 1, wherein the calculating inverter switching power losses includes calculating on-off losses and on-state losses of switches; the breaking loss calculation formula is as follows:

the on-state loss calculation formula is as follows:

5. The hybrid microgrid fine scheduling method of claim 1, wherein the method for calculating the cycle cost of the battery charging process comprises:

wherein C_batIs the collection cost of the battery house, C_NIs the nominal capacity, N, of the battery_{bat_p}Is the number of parallel cells, U_DCIs the DC bus voltage, N_cycleIs the average value of the life of the battery over the equivalent full cycle.

6. The hybrid microgrid refined scheduling method of claim 1, wherein the method for calculating the energy cycle cost in the hydrogen production process of an electrolytic cell comprises:

wherein L is_ElyzFor cell life, L_FCFor hydrogen fuel cell life, C_O&M-ElyzFor operating and maintenance costs of the cell, C_O&M-FCCost of operating and maintaining for hydrogen fuel cells, C_ElyzAnd C_FCThe purchase costs of the electrolyzer and the fuel cell, eta, respectively_FCFor the consumption of H per kg in hydrogen fuel cells₂The converted electric quantity, eta_ElyzIs H produced per degree of electricity consumed in the electrolytic cell₂Amount (v).

7. The hybrid microgrid refined scheduling method of claim 1, wherein the method for determining the optimized scheduling strategy in the charging process is as follows: calculating a critical power point through a relation curve chart among the energy cycle cost of the charging process, the energy cycle cost of the hydrogen production process of the electrolytic cell and the charging power, wherein the formula is as follows:

8. the hybrid microgrid refined scheduling method of claim 1, wherein the method for determining the optimal scheduling strategy of the electric energy supply is as follows: the optimal strategy is determined by a functional relationship between the cost of the energy supply unit and the discharge power.