A method for regulating multiple distributed energy sources in a regional power grid

Abstract

The application discloses a kind of regulation and control methods for multiple distributed energy in regional power grid.The load condition of the power supply area of the regional power grid is accurately collected, and the power output by each type of distributed power source in the power supply area of the regional power grid and the operating condition data of the distributed power source are received in real time, and then the power generated by the distributed power source is stored according to the energy demand in the region and the power supply condition of the regional power grid, or the stored power in the energy storage power station is released to provide the users in the regional power grid with the power. Thus, the application can improve the safety and reliability of energy supply, improve energy utilization efficiency, optimize energy structure, balance urban energy load peak-valley difference, and reduce energy-related environmental pollution.

Description

TECHNICAL FIELD

[0001] The present application relates to a regional power grid system, in particular to a method for regulating and controlling multiple distributed energy sources in a regional power grid. BACKGROUND

[0002] Renewable energy sources such as wind power and photovoltaic power have been widely concerned by countries around the world due to their environmental friendliness and renewability. However, their working states are greatly affected by environmental factors, and their uncertainty as primary energy sources can have certain impacts on the operation of power systems and power quality. How to alleviate the fluctuation of distributed energy sources, especially renewable distributed energy sources, in a regional power grid is a key in the regional power grid dispatching technology. In the application of regional power grids, the output scale of distributed power sources must be limited due to the inability to regulate each distributed power source to achieve the required stability. Even this can cause a serious wind curtailment and light curtailment phenomenon.

[0003] The distributed energy system (DES) is connected to the power grid and gas network to establish an energy network, which can realize regional interconnection of multiple energies. This system is also known as a distributed energy network system (DENS), which needs to adopt a certain autonomous dispatching and control strategy in the network system to realize the coordinated control of information and energy, thereby improving the stability, economy, and environmental benefits of the system.

[0004] However, the prior art usually only considers the controllable power sources, fixed loads, and energy storage facilities of each distributed energy system when determining the dispatching strategy, and the dispatching method cannot adjust the dispatching strategy according to the flexible changes in the load of the entire distributed energy network system. Moreover, due to the hysteresis of the dispatching relative to the real-time load of the power grid, this can result in low comprehensive utilization efficiency of energy and low accuracy of regulation and control in the distributed energy network system. SUMMARY

[0005] The present application provides a method for regulating and controlling multiple distributed energy sources in a regional power grid, which can improve the energy utilization efficiency, economy, and stability of the entire system by concentrating multiple small distributed power sources with complementarity in the same network. Different distributed power sources supply power in a staggered manner to make up for each other's shortcomings, so that the present application can better meet the power load demand and ensure the safe and stable operation of the power grid. The present application combines energy production and consumption together, directly supplies energy to users, and the remaining energy is used to meet the multiple energy demands of users such as cooling and heating through a distributed renewable energy system, which can further improve the comprehensive utilization efficiency of energy. The present application specifically adopts the following technical solutions.

[0006] First, in order to achieve the above object, a kind of regulation method for multiple distributed energy in regional power grid is proposed, and its steps include: first, the load condition of the power supply area of the regional power grid is accurately collected;The load condition includes the real-time load of the power supply area of the regional power grid and the average load of the power supply area of the regional power grid in different time periods within one year. Second, the power output by each type of distributed power in the power supply area of the regional power grid is received in real time, and the operating condition data of each type of distributed power is received. Third, according to the energy demand of the users in the regional power grid and the power supply condition of the regional power grid, the energy generated by the distributed power is stored or the energy stored in the energy storage power station is released to provide for the users in the regional power grid.

[0007] Optionally, in the above regulation method for multiple distributed energy in regional power grid, when the total output power of the distributed power cannot meet the energy demand of the users in the regional power grid after reaching the maximum value, the energy storage power station is controlled to output energy to make up for the shortage of load demand;Or the control unit is also used to control the energy storage power station to output energy to make up for the shortage of load demand under the condition that the operating conditions of each type of distributed power are not good and the energy storage power station has a certain margin. When the total output power of the distributed power exceeds the energy demand of the users in the regional power grid, the energy storage power station is controlled to store the energy generated by the distributed power.

[0008] Optionally, in the above regulation method for multiple distributed energy in regional power grid, the distributed power included in the regional power grid includes any one or combination of wind turbine, photovoltaic array, small hydropower, biomass power generation device and tidal power generation device.

[0009] Optionally, in the above regulation method for multiple distributed energy in regional power grid, the specific steps of the third step include: step C1, obtaining the data of each type of distributed power in the regional power grid, including the total number of installed wind turbines n1, the total number of installed photovoltaic arrays n2, the total number of installed small hydropower n3, the installation marks of biomass power generation device n4, the installation marks of tidal power n5, the installation marks of combined cooling, heating and power supply n6, and the comprehensive cost C WT of each wind turbine, the comprehensive cost C PV of each photovoltaic array, the total cost c pv of unit capacity of photovoltaic cell, the total capacity p pv of each photovoltaic array, the comprehensive cost C SH of each small hydropower, the comprehensive cost C BP of biomass power generation, and the comprehensive cost C TE, the comprehensive cost C of the combined heat and power supply CCHP , the rated total capacity P of the energy storage device B , the comprehensive cost C of the unit capacity of the energy storage device B , and the comprehensive cost C of other distributed power sources in the regional power grid n . Step C2, calculating a target function minf according to the above data to control the output of the energy storage power station according to the target function minf. Wherein, the target function is obtained by weighted accumulation of the data of each type of distributed power source.

[0010] Optionally, in the above method for regulating multiple types of distributed energy sources in a regional power grid, in step C1, the comprehensive cost C of each group of photovoltaic arrays PV = p pv c pv . The target function minf in step C2 is minf = n1C WT +n2C PV +n3C SH +n4C BP +n5C TE +n6C CCHP +P B C B +C n .

[0011] Optionally, in the above method for regulating multiple types of distributed energy sources in a regional power grid, in step C1, the comprehensive cost C of other distributed power sources in the regional power grid n =C fn +C rn +C OMn , wherein C fn represents the initial investment cost of other distributed power sources in the regional power grid, C rn represents the replacement cost of other distributed power sources in the regional power grid, and C OMn represents the operation and maintenance cost of other distributed power sources in the regional power grid.

[0012] Optionally, in the above method for regulating multiple types of distributed energy sources in a regional power grid, step C2 includes a step of constraining the target function minf, which specifically includes: calculating the constraint condition of the target function minf while calculating the target function minf, and filtering the minimum value of the target function minf according to the constraint condition, and outputting the energy according to the working condition of the energy storage power station corresponding to the minimum value.

[0013] Optionally, in the method for regulating and controlling multiple distributed energy sources in a regional power grid, the constraint conditions are simultaneously satisfied: the loss of load rate is within 2%; the output power of each distributed power source is within the maximum output power range thereof; the energy storage power station does not reach the maximum charging state in the process of storing the electric energy generated by the distributed power sources, and the energy storage power station does not reach the maximum discharging state in the process of releasing the electric energy stored therein; and the sum of the output powers of the distributed power sources in the system per hour is not less than the total load demand at the corresponding time and meets the power generation requirement of the distributed power sources.

[0014] Advantages

[0015] The present application firstly accurately collects the load conditions of the power supply area of the regional power grid, and receives the output electric energy of each type of distributed power source in the power supply area of the regional power grid and the operating condition data of the distributed power sources in real time; and then stores the electric energy generated by the distributed power sources or releases the electric energy stored in the energy storage power station according to the energy demand in the region and the power supply condition of the regional power grid to provide the electric energy to the users in the regional power grid. Thus, the present application can improve the safety and reliability of energy supply, improve the energy utilization efficiency, optimize and adjust the energy structure, balance the peak-valley difference of urban energy load, and reduce the environmental pollution related to energy.

[0016] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the present application. BRIEF DESCRIPTION OF DRAWINGS

[0017] The accompanying drawings are included to provide a further understanding of the present application, and constitute a part of the specification, illustrate embodiments of the present application, and are used to explain the present application, and do not constitute a limitation of the present application. In the drawings:

[0018] Figure 1 is a schematic diagram of a constituting mode of a distributed power source in a regional power grid in an embodiment of the present application;

[0019] Figure 2 is a schematic diagram of a user electricity load curve in an embodiment of the present application;

[0020] Figure 3 is a diagram of annual distribution of wind speed in an embodiment of the present application;

[0021] Figure 4 is a diagram of annual distribution of light intensity in an embodiment of the present application;

[0022] Figure 5 is a step flow chart of a method for regulating and controlling distributed power sources in a regional power grid in an embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following will be combined with the accompanying drawings of the embodiments of the present application to make a clear and complete description of the technical solutions of the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the described embodiments of the present application, all other embodiments obtained by a person of ordinary skill in the art without any inventive effort belong to the scope of protection of the present application.

[0024] Those skilled in the art can understand that, unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meaning as commonly understood by a person of ordinary skill in the art to which the present application belongs. It should also be understood that terms such as those defined in a general dictionary should be understood to have meanings consistent with those in the context of the prior art, and should not be interpreted to have idealized or overly formal meanings unless otherwise defined.

[0025] Figure 1 A regional power grid to which the present application is applied includes any one or combination of a wind power generator, a photovoltaic array, a hydroelectric power device, a biomass power device, a tidal power device, and any one of or combination of a cold-heat-electricity triad as a distributed power source thereof.

[0026] The system composed of the distributed power source realizes accurate collection of load conditions of a power supply area of the regional power grid through a regional power grid load collection port; and realizes receiving of electric energy output by each type of distributed power source and operation condition data of the each type of distributed power source through a distributed power source interface.

[0027] The system further includes an energy storage power station, which is used to store the electric energy received by the distributed power source interface according to energy use requirements of users in the regional power grid and power supply conditions of the regional power grid, or release the electric energy stored in the energy storage power station to provide for use by the users in the regional power grid.

[0028] The energy storage power station is controlled by a control unit. The control unit is connected to the regional power grid load collection port, the distributed power source interface, and the energy storage power station; and the control unit is used to execute the steps to realize control of the energy storage power station. Figure 5 The steps are used to realize control of the energy storage power station.

[0029] Step 10) accurately collecting load conditions of the power supply area and making load prediction;

[0030] Step 20) grasping energy use requirements of users and obtaining different energy matching relationships according to different energy use requirements;

[0031] Step 30) further study the architecture of the multi-energy complementary power generation system, rationally configure different distributed power sources, and reduce the construction cost;

[0032] Step 40) study the energy management of the complementary power generation system, realize the dynamic optimization combination of the complementary distributed power equipment, reduce the system operation cost, and improve the operation quality of the power plant.

[0033] In order to maximize the use of renewable energy, it is necessary to introduce energy storage devices as an auxiliary means of power regulation in step 30), and then to obtain the combination of active power output of each generator set under natural resource conditions in a certain period of time, to realize multi-energy complementation. The steps of energy storage configuration include: step 301) determining the type and capacity of the energy storage power station in the regional power grid according to the size of the user electricity load, and considering the optimal configuration of the system taking the battery as an example; step 302) considering that when the total output power of the system reaches the maximum value, the load demand cannot be met, the shortage part of the load demand is provided by the battery. Step 303) consider that in the case of poor natural resource conditions, the load demand cannot be met, and the system will not be able to realize stable operation. At this time, it is necessary to ensure that the battery has a certain margin to facilitate the battery discharging for load power supply.

[0034] The dynamic optimization process of the multi-energy complementary system in step 40) can include: step 401) establishing an objective function: the optimization design should meet the system performance indicators, and comprehensively consider the system investment, replacement, operation and maintenance cost, and environmental governance required cost, etc., with the minimum comprehensive cost as the objective function, which can be expressed as follows:

[0035] minf=n1C WT +n2C PV +n3C SH +n4C BP +n5C TE +n6C CCHP +P B C B +C n Formula (1)

[0036] In the formula, n1 is the total number of wind turbines, n2 is the total number of photovoltaic arrays, n3 is the total number of small hydropower installations, n4 indicates whether the biomass power generation device is installed, 1 for installation and 0 for non-installation, n5 indicates whether the tidal power is installed, 1 for installation and 0 for non-installation, n6 indicates whether the combined cooling, heating and power supply is installed, 1 for installation and 0 for non-installation; C WT is the comprehensive cost of each wind turbine, C PV is the comprehensive cost of each photovoltaic array, if c pv is the total cost of the photovoltaic cell unit capacity, p pv is the total capacity of each photovoltaic array, and CPV = p pv c pv , C SH is the comprehensive cost of each small hydropower, C BP is the comprehensive cost of biomass power generation, C TE is the comprehensive cost of tidal power generation, C CCHP is the comprehensive cost of combined cooling, heating and power; P B is the rated total capacity of the energy storage device, C B is the comprehensive cost of the unit capacity of the energy storage device, C n represents the comprehensive cost of other distributed power sources in the system. The comprehensive cost is the sum of the installed cost, replacement cost and operation and maintenance cost, i.e.:

[0037] C n = C fn + C rn + C OMn Equation (2)

[0038] In the formula, Cfn, Crn and COMn are the initial investment cost, replacement cost and operation and maintenance cost of the construction of different types of distributed small power sources, respectively.

[0039] Step 402) Establishing constraint conditions: In order to ensure the stable and reliable operation of the optimal configuration of the multi-energy complementary system, meet the demand of users for power supply, and achieve the objective function, the following constraint conditions also need to be met during operation:

[0040] Step 4021) Power supply reliability constraint: The loss of load probability is considered to take into account the outage probability of distributed power sources. The loss of load probability refers to the ratio of all lost load power to the total load demand power when the system power supply is insufficient. The loss of load probability is controlled within 2%, i.e.:

[0041] LOLP≤2% Equation (3)

[0042] Step 4022) Distributed power source operation constraint: The output power of each distributed power source must be within the maximum output power range, i.e.:

[0043] P DG ≤ P DGmax Equation (4)

[0044] Step 4023) Battery charging and discharging constraint: Considering the service life of the battery, the charging and discharging of the battery during system operation is strictly limited. When the battery reaches its maximum charging state, charging is stopped. When the battery reaches its maximum discharging state, discharging is stopped. Overcharging or overdischarging is not allowed, i.e.:

[0045] S SOCmin ≤ S SOC ≤ S SOCmaxEquation (5)

[0046] Step 4024) Power supply-demand balance constraint: the sum of the output power of the distributed power generation elements in each hour should be no less than the total load demand in the corresponding hour, i.e.

[0047] P DG,t ≥P L,t Equation (6)

[0048] The power supply-demand time step is 1 hour, so there are 8760 hours in a year. The sum of the total output power of the system at time t minus the power required by the load at time t gives the residual power of the system at time t, which is the power of the battery at time t when added to the residual power of the battery at time t-1, i.e.

[0049] P DG,t -P L,t +P B,t-1 =P B,T Equation (7)

[0050] In the equation, P DG,t is the total power generation of the system in the tth hour, P L,t is the load demand in the tth hour, P B,t-1 and P B,t are the charge capacities of the battery in the tth and t-1th hours, respectively. When P DG,t -P L,t > 0, it represents battery charging, and when P DG,t -P L,t < 0, it represents battery discharging. Iteration from 0 to t gives:

[0051]

[0052] In the equation, t = 1, 2, …, 8760, P B,0 is the charge capacity of the battery at time 0, i.e., the maximum capacity of the battery; is the sum of the power required by the load from time 0 to time t; is the sum of the power generated by the system from time 0 to time t.

[0053] Step 4025) Wind turbine power constraint: the power P WT of the wind turbine generator should satisfy its own power generation constraint.

[0054] 0≤P WT ≤P r Equation (9)

[0055]

[0056] The power generation of the wind turbine is related to the wind speed, v ct is the cut-in wind speed, v co is the cut-out wind speed, and vr For the rated wind speed, P r This is the rated power. When the wind speed is between v ct and v co When the wind turbine output power is between 1 and 2, it can be expressed as a function of wind speed η(v).

[0057] Step 4026) Photovoltaic array power generation constraints: Photovoltaic power generation should meet its power constraints.

[0058] 0≤P PV ≤P m Equation (11)

[0059] In the formula, P PV The photovoltaic power generation output is related to the light intensity and ambient temperature. m This represents the peak power of the photovoltaic array.

[0060] Step 403) Optimization Analysis Method: Using the power generation data of each distributed power source as the output variable, Equation (1) is the objective function, and Equations (3)-(11) are the constraints. The constraints of Equations (3)-(11) are functions of the electrical energy output by each type of distributed power source, the operating condition data of each type of distributed power source, and the working status of the energy storage manager. The optimal capacity configuration scheme for multi-energy complementarity can be obtained by calculating based on the constraints. For example, if there is only wind power generation and photovoltaic power generation in the system, the capacity of the battery is the load demand minus the power generation generated by the wind turbine and photovoltaic power source, which is still required. In equation (7), when t=1, the maximum battery capacity required at time 0-1 can be obtained; when t=2, the load demand, wind turbine output power, and photovoltaic output power of the first two times are superimposed, and the three superimposed values ​​are calculated according to equation (8) to obtain the maximum battery capacity required at time 0-2; and so on, the maximum battery capacity required at all times 0-3, 0-4...0-8760 can be obtained, and the maximum value is the maximum capacity that the battery should be configured with. When the number of wind turbines is 1 and the number of photovoltaic arrays is 1, it corresponds to the maximum capacity of one battery; when the number of wind turbines is 1 and the number of photovoltaic arrays is 2, it corresponds to the maximum capacity of one battery; similarly, different numbers of wind turbines and photovoltaic arrays correspond to different maximum battery capacities. If the range of the number of wind turbines and photovoltaic arrays is set to 0-50, there will be 2500 different maximum battery capacities. The comprehensive cost of each of these 2500 wind-solar-storage capacity configuration combinations is calculated, and the minimum value is the objective function value. Other distributed power sources follow the same optimization method, corresponding to the optimal combination of distributed power source capacity. The type and quantity of distributed power sources are typically estimated based on load demand and actual conditions.

[0061] by Figure 2 to Figure 4 The power grid operation status shown is an example.

[0062] The load demand and renewable energy resource situation of the urban cell in different time periods within a year can be optimized and analyzed by the method to maintain the stable operation of the regional power grid. The annual load situation of the cell is shown in Figure 2 The wind speed and light conditions are shown in Figure 3 Figure 4 The cost parameters related to each distributed power source are shown in Table 1:

[0063] Table 1: Statistical table of cost parameters related to each distributed power source

[0064] Type 30kw fan Solar cell Battery Equipment cost (yuan) 150,000 / unit 80,000 / kW 800 / kW Replacement cost (yuan) 120,000 / unit 60,000 / kW 500 / kW Maintenance cost (yuan) 400 / year 200 / year 200 / year

[0065] According to the actual situation of the cell, a 30kW wind turbine is selected, the cut-in wind speed is 3m / s, the unit photovoltaic array capacity is 7.5kW, and the battery group is selected as a lead-acid battery. The service life of the wind turbine is usually 20 years, the service life of the photovoltaic cell panel is usually 25 years, and the service life of the battery has a close relationship with its charging and discharging depth, cycle number and use environment temperature. Assuming that the service life of the battery is 10 years. Taking the system operation for 30 years as an example, the system costs are estimated, the wind turbine and photovoltaic cell panel need to be replaced once, and the battery needs to be replaced twice. Then:

[0066] The comprehensive cost of the wind turbine: C WT = 15000 + 12000 + 400 * 30 = 282000

[0067] The comprehensive cost of the photovoltaic cell panel: C PV = 8000 + 6000 + 200 * 30 = 20000

[0068] The comprehensive cost of the battery: C B = (800 + 500) * 2 + 200 * 30 = 8600

[0069] Assuming that the working point temperature of the photovoltaic cell is constant and equal to the battery temperature under standard reference conditions. V, G, L matrices represent the wind speed, light intensity and load change in a year; M, N represent the installation number of the wind turbine and photovoltaic, both are 50x50 matrices, z represents the system cost under each wind-light-storage combination, Z represents the minimum value of the cost corresponding to these combinations, that is, the minimum cost (objective function); x, y represent the corresponding wind turbine and photovoltaic number when the minimum cost is reached; P max(x,y) represents the maximum capacity of the battery corresponding to the minimum cost. The results are shown in Table 2

[0070] Table 2: Statistical table of optimization results

[0071] Type Fan units Photovoltaic array number Battery capacity (kW) Investment cost (ten thousand yuan) Optimization result 8 2 14.204 268

[0072] The output result of running the optimization algorithm is: x=8, y=2, z=2678200, Pmax=14.2040, that is, the optimal configuration is 8 30kW wind turbines, 2 groups of 7.5kW photovoltaic arrays, and one 14.2040kW maximum capacity lead-acid battery pack, and the minimum cost of the configuration is about 2.68 million yuan. It can be seen that the optimization algorithm has feasibility for solving the capacity optimization configuration problem of small distributed power supply.

[0073] In summary, the present application can:

[0074] 1) improve the safety and reliability of energy supply. The current domestic power supply system is a centralized power supply mode mainly based on large units, high voltage and long distance. If a fault occurs in the power grid, it will affect the stability of the entire power supply system, and in severe cases, it may cause the entire power grid to malfunction, resulting in large-scale power outages. Distributed energy and user side are close in distance, have few uncertain factors and high stability. Distributed energy can also provide power supply to nearby users when the main power grid fails, which improves the safety of the power grid to some extent.

[0075] 2) improve energy utilization efficiency. Take the natural gas combined cycle system for example. It converts part of the heat energy into mechanical energy by burning natural gas and transmits it to the steam turbine. The other part of the heat energy is used to heat water to make steam to drive the operation of the steam turbine. The steam from the steam turbine enters the chiller for refrigeration after doing work. The gas-steam cycle system realizes energy cascade utilization and waste heat recovery. At present, the highest efficiency of traditional thermal power generation is only 50% for ultra-supercritical units. If cogeneration is adopted, the energy utilization efficiency can reach more than 80%.

[0076] 3) optimize and adjust the energy structure. At present, coal-fired power generation accounts for 70% of the installed capacity in China. The fuel characteristics of distributed energy systems are mainly gas fuel and renewable energy, which fully utilizes various resources, including natural gas, biogas, biomass, solar energy, etc.

[0077] 4) balance the peak and valley difference of urban energy load. Because of its small size, compared with large traditional thermal power plants, distributed energy systems are more flexible in starting and stopping. In addition, in winter, it reduces the power load caused by using electric heating by providing heating to users. In summer, it can also provide cooling to users to reduce the power load caused by using air conditioning.

[0078] 5) reduce environmental pollution. The distributed energy system has almost zero solid waste emissions. The application of distributed power supply reduces CO2 emissions by more than 70%, NOx emissions by more than 80%, and land occupation and water consumption by more than 60%.

[0079] The above merely describes the embodiments of the present application, which are specific and detailed, but should not be understood as a limitation to the patent scope of the present application. It should be noted that, for those skilled in the art, without departing from the concept of the present application, several modifications and improvements can be made, which all belong to the protection scope of the present application.

Claims

1. A method for regulating multiple distributed energy sources within a regional power grid, characterized in that, include: The first step is to accurately collect the load information of the power supply area of ​​the regional power grid; wherein, the load information includes the real-time load of the power supply area of ​​the regional power grid and the average load of the power supply area of ​​the regional power grid at different times over the past year; The second step is to receive in real time the electrical energy output by various types of distributed power sources within the power supply area of ​​the regional power grid, as well as the operating condition data of each type of distributed power source. The third step is to store the electrical energy generated by the distributed power source or release the electrical energy stored in the energy storage station to users in the regional power grid, based on the energy demand of users in the regional power grid and the power supply status of the regional power grid. The specific steps of the third step include: Step C1: Obtain data on various types of distributed power sources within the regional power grid, including the total number of wind turbines installed (n1), the total number of photovoltaic arrays installed (n2), the total number of small hydropower installations (n3), a marker indicating whether biomass power generation devices are installed (n4), a marker indicating whether tidal power generation devices are installed (n5), and a marker indicating whether combined cooling, heating, and power (CCHP) systems are installed (n6). It also includes the comprehensive cost C of each wind turbine. WT The overall cost C of each photovoltaic array PV The total cost per unit capacity of photovoltaic cells, c pv The total capacity p of each photovoltaic array pv The comprehensive cost of each small hydropower station C SH The overall cost of biomass power generation C BP The overall cost of tidal power generation C TE The combined cost of C10,0 ... CCHP The rated total capacity P of the energy storage device B The comprehensive cost per unit capacity of energy storage devices, C B And the comprehensive cost C of other distributed power sources within the aforementioned regional power grid n ; Step C2: Calculate the objective function minf based on the above data and control the electrical energy output by the energy storage power station according to the objective function minf; wherein, the objective function is obtained by weighted summation of the data of the above-mentioned types of distributed power sources; The overall cost C of each photovoltaic array PV =p pv c pv ; The objective function in step C2 minf=n1C WT +n2C PV +n3C SH +n4C BP +n5C TE +n6C CHP +P B C B +C n ; The steps for constraining the objective function minf specifically include: While calculating the objective function minf, the constraints of the objective function minf are calculated, and the minimum value of the objective function minf is selected according to the constraints. The power station outputs electrical energy according to the working status of the energy storage station corresponding to the minimum value. The constraints are to be met simultaneously: the load failure rate is within 2%; the output power of each distributed power source is within its maximum output power range; the energy storage station does not reach its maximum charging state while storing the electrical energy generated by the distributed power source, and the energy storage station does not reach its maximum discharging state while releasing the electrical energy stored within it; the sum of the output power of each distributed power source in the system per hour is not less than the total load demand at that time and meets its own power generation requirements.

2. The method for regulating multiple distributed energy sources within a regional power grid as described in claim 1, characterized in that, In the third step, when the total output power of the distributed power source reaches its maximum value but still cannot meet the energy demand of users in the power grid of the region, the energy storage station is controlled to output electrical energy to fill the load demand shortfall; or the control unit is also used to control the energy storage station to output electrical energy to fill the load demand shortfall when the operating conditions of various types of distributed power sources are not good, and on the premise of ensuring that the energy storage station has a set margin; when the total output power of the distributed power source exceeds the energy demand of users in the power grid of the region, the energy storage station is controlled to store the electrical energy generated by the distributed power source.

3. The method for regulating multiple distributed energy sources within a regional power grid as described in claim 2, characterized in that, The distributed power sources included in the regional power grid it targets are: any one or a combination of wind turbines, photovoltaic arrays, hydropower, biomass power generation devices, and tidal power generation devices.

4. The method for regulating multiple distributed energy sources within a regional power grid as described in claim 3, characterized in that, In step C1, the comprehensive cost C of other distributed power sources within the regional power grid is... n =C fn +C rn +C OMn , where C fn C represents the initial investment cost of other distributed power sources within the regional power grid. rn C represents the replacement cost of other distributed power sources within the regional power grid. OMn This indicates the operation and maintenance costs of other distributed power sources within the regional power grid.

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