Power grid dispatching control method and system considering demand side response resource potential

Abstract

The invention discloses a power grid dispatching control method and system considering demand side response resource potential. The method comprises the following steps: step 1, acquiring load information of various adjustable load resources on a demand side and power supply information of a power grid; 2, respectively calculating the load adjusting capability of each adjustable load resource according to the power utilization characteristics of each adjustable load resource, so as to obtain the response potential quantized value of each adjustable load resource; 3, based on the response potential quantized values of the various adjustable load resources, the demand side response resource potential is obtained through calculation; 4, according to the power supply load of the current power grid and the load demand of the demand side, power distribution network dispatching control is carried out in combination with the demand side response resource potential. According to the method, the response potential of various adjustable load resources on the demand side is quantified, so that the economical efficiency of power grid dispatching and the operation efficiency of the power grid are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power system demand side response, and in particular to a power grid dispatching control method and system taking into account the potential of demand side response resources. Background Art

[0002] With the continuous development of science and technology, people's demand for electricity continues to increase. The electricity demand side can be controlled according to actual needs, so as to achieve the optimization of economy and energy use while ensuring normal and reliable operation. Demand-side response is gradually becoming an organic part of power system and market operation. It can promote the further improvement of power grid operation management and enterprise management level, help power grid enterprises to continuously reduce production and operation costs, and optimize operation mode. At present, the research on demand-side response, such as the existing public literature on the design of smart grid power dispatching automation system for demand-side response, improves the power dispatching capacity of smart grid from the user side and the power supply side respectively. In the active response subsystem, incentives are used to guide demand-side resources to participate in power dispatching, and the controllability of load is improved while ensuring user comfort. However, the resource potential is not quantified, the calculation results are unstable, and the demand-side response cannot be accurately and effectively evaluated. Therefore, it is necessary to study and calculate typical demand-side response, and combine its actual work requirements on the demand side to obtain the quantified value of demand-side response resource potential, so as to promote the full utilization of power grid resources. Summary of the invention

[0003] In order to address the deficiencies in the prior art, the present invention provides a power grid dispatching control method and system that takes into account the resource potential of demand-side response resources, quantifies the resource potential of various adjustable load resources on the demand side, provides data support for promoting the optimal dispatching of power resources, and improves the economy of power grid dispatching and power grid operation efficiency.

[0004] The present invention adopts the following technical solution.

[0005] In a first aspect, the present invention provides a power grid dispatching control method considering the potential of demand-side response resources, the method comprising:

[0006] Step 1: Collect load information of various adjustable load resources on the demand side and power supply information of the power grid;

[0007] Step 2: According to the power consumption characteristics of various adjustable load resources, the load regulation capabilities of various adjustable load resources are calculated respectively to obtain the quantitative value of the response potential of various adjustable load resources;

[0008] Step 3: Based on the quantitative values ​​of the response potential of various adjustable load resources, the demand-side response resource potential is calculated;

[0009] Step 4: According to the current power supply load of the power grid and the load demand on the demand side, the distribution network dispatching control is carried out in combination with the demand side response resource potential.

[0010] Optionally, in step 1, the various types of adjustable load resources include charging piles, air conditioners, and energy storage power stations.

[0011] Optionally, step 2 includes: calculating the response load regulation capacity of the charging pile, the response load regulation capacity of the air conditioner, and the response load regulation capacity of the energy storage power station respectively by the following formula:

[0012]

[0013] P e-ad =k6%P e

[0014] Where P st-ad is the load regulation capability of the charging pile during the peak shaving period, T r is the peak shaving period set, N r is the number of peak shaving periods, P st (t) is the predicted load of the charging pile in period t; P c-ad is the air conditioning load adjustment capacity during the peak shaving period, k5 is the air conditioning load adjustment coefficient; P e-ad is the load regulation capability of the energy storage power station, k6 is the set energy storage power station response coefficient, P e is the rated capacity of the energy storage power station.

[0015] Optionally, the predicted load P of the charging pile in period t st The calculation formula of (t) is as follows:

[0016] P st (t) = n d k1[k2P1(t)+k3P2(t)+k4P3(t)]

[0017] Where n d is the total number of cars in the target area, k1 is the proportion of electric vehicles in the total number of cars, k2 is the proportion of electric vehicles charged in residential areas, k3 is the proportion of electric vehicles charged in work areas, k4 is the proportion of electric vehicles charged in commercial areas, P1(t) is the charging power of a single electric vehicle in residential areas during period t, P2(t) is the charging power of a single electric vehicle in work areas during period t, and P3(t) is the charging power of a single electric vehicle in commercial areas during period t; where k1, k2, k3, k4, P1(t), P2(t) and P3(t) all use the electric vehicle data corresponding to the previous similar situation day, and similar situation days are divided into holidays and working days.

[0018] Optionally, the calculation formula of the air conditioning load adjustable degree coefficient k5 is as follows:

[0019]

[0020] Where N c The number of days the air conditioner is used up to the current setting period. is the normalized value of the air conditioning load in the target area, is the average value of air conditioning load.

[0021] Optionally, in step 2, the expressions of the response potential quantization values ​​of the various adjustable load resources are as follows:

[0022] D st =a st ·P st-ad

[0023] D c =a c ·P c-ad

[0024] D e =a e ·P e-ad

[0025] Where D st is the quantitative value of the charging pile response resource potential, a st is the set charging pile responsiveness, 0≤a st ≤1;D c is the quantified value of the air conditioning load response resource potential, a c is the set air conditioning load responsiveness, 0≤a c ≤1;D e is the quantitative value of the energy storage power station response resource potential, a e is the set energy storage power station responsiveness, 0≤a e ≤1.

[0026] Optionally, in step 3, the expression of the demand-side response resource potential is as follows:

[0027] D=D st +D c +D e

[0028] Where D is the demand-side response resource potential, D st is the quantitative value of the charging pile response resource potential, D c is the quantified value of the air conditioning load response resource potential, D e Quantify the resource potential of energy storage power station response.

[0029] Optionally, in step 4, the step of performing distribution network dispatching control in combination with the demand-side response resource potential includes:

[0030] Step 4.1: Determine whether the current power grid power supply load is not lower than the demand side load demand value. If so, control the power grid to supply power to the demand side according to the original dispatch plan; if not, execute step 4.2;

[0031] Step 4.2: Calculate the difference between the power grid supply load and the demand side load demand value;

[0032] Step 4.3: Determine whether the difference between the power grid supply load and the demand side load demand value is greater than the demand side response resource potential,

[0033] If so, the power grid is controlled to increase power supply until the difference between the power supply load of the power grid and the load demand value on the demand side reaches the demand side response resource potential, and at the same time, the power load of various adjustable load resources is reduced, and the corresponding reduced power load is the response potential quantified value of each adjustable load resource, so as to make full use of the regulation potential of various adjustable load resources;

[0034] If not, then according to the quantitative value of the response potential of each adjustable load resource, the power load of the energy storage power station, the power load of the air conditioner and the power load of the charging pile are reduced in turn to meet the supply and demand balance.

[0035] In a second aspect, the present invention provides a power grid dispatching control system taking into account the potential of demand-side response resources, which is used to perform the steps of any method described in the first aspect of the present invention, and the system includes:

[0036] The collection module is used to collect load information of various adjustable load resources on the demand side and power supply information of the power grid;

[0037] A quantification module is used to calculate the load regulation capabilities of various adjustable load resources according to the power consumption characteristics of various adjustable load resources, so as to obtain the quantitative value of the response potential of various adjustable load resources;

[0038] A potential calculation module is used to calculate the demand-side response resource potential based on the response potential quantification value of various adjustable load resources;

[0039] The dispatching control module is used to perform distribution network dispatching control according to the current power supply load of the power grid and the load demand on the demand side, combined with the demand side response resource potential.

[0040] In a third aspect, the present invention provides a terminal, including a processor and a storage medium;

[0041] The storage medium is used to store instructions;

[0042] The processor is used to operate according to the instructions to execute the steps of any one of the methods described in the first aspect of the present invention.

[0043] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any one of the methods described in the first aspect of the present invention.

[0044] The beneficial effect of the present invention is that, compared with the prior art,

[0045] 1. The present invention aims at charging piles, air conditioners, and energy storage power stations among typical adjustable load resources on the demand side, and calculates the response load adjustment capacity of charging piles, air conditioners, and energy storage power stations in combination with the peak shaving period, respectively, to quantify the response potential of various adjustable load resources on the demand side, provide data support for promoting the optimal dispatch of power resources, and improve the operation efficiency of the power grid;

[0046] 2. While calculating the demand-side response resource potential taking into account the load regulation capability, the present invention combines the power supply conditions of the power grid to perform effective dispatching and control, maximizes the utilization of the regulation potential of various adjustable load resources on the demand side, realizes the reasonable optimization allocation of power resources, reduces the load pressure of the power grid during peak hours, improves the economy of power grid dispatching, and ensures the safety and stability of power grid operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 is a flow chart of a power grid dispatching control method considering the demand side response resource potential in the present invention;

[0048] Figure 2 This is a structural principle block diagram of a power grid dispatching and control system that takes into account the potential of demand-side response resources in the present invention. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The embodiments described in the present invention are only part of the embodiments of the present invention, not all of the embodiments. Based on the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the scope of protection of the present invention.

[0050] Embodiment 1:

[0051] Reference Figure 1 The embodiment of the present invention provides a power grid dispatching control method considering the potential of demand-side response resources, which specifically includes the following steps:

[0052] Step 1: Collect load information of various adjustable load resources on the demand side and power supply information of the power grid;

[0053] In this embodiment, various types of adjustable load resources include charging piles, air conditioners, and energy storage power stations. The collected information includes charging pile response load information, air conditioner load information, energy storage power station response load information, and power grid power supply load.

[0054] Step 2: According to the power consumption characteristics of various adjustable load resources, the load regulation capabilities of various adjustable load resources are calculated respectively to obtain the quantitative value of the response potential of various adjustable load resources;

[0055] Among them, the load regulation capabilities of various adjustable load resources include: charging pile response load regulation capability, air conditioning load regulation capability and energy storage power station response load regulation capability; the specific calculation processes are as follows:

[0056] Step 2.1: Calculate the charging pile response load regulation capability by the following formula:

[0057]

[0058] Where P st-ad is the load regulation capability of the charging pile during the peak shaving period, T r is the peak shaving period set, N r is the number of peak shaving periods, P st (t) is the predicted load of the charging pile in period t.

[0059] In a preferred but non-limiting embodiment, the predicted load P of the charging pile in period t is st The calculation formula of (t) is as follows:

[0060] P st (t) = n d k1[k2P1(t)+k3P2(t)+k4P3(t)]

[0061] Where n d is the total number of cars in the target area, k1 is the proportion of electric vehicles in the total number of cars, k2 is the proportion of electric vehicles charged in residential areas, k3 is the proportion of electric vehicles charged in work areas, k4 is the proportion of electric vehicles charged in commercial areas, P1(t) is the charging power of a single electric vehicle in residential areas during period t, P2(t) is the charging power of a single electric vehicle in work areas during period t, and P3(t) is the charging power of a single electric vehicle in commercial areas during period t; where; k1, k2, k3, k4, P1(t), P2(t) and P3(t) all use the electric vehicle data corresponding to the previous similar situation day, and similar situation days are divided into holidays and working days; for example, if the current day is Friday, the data corresponding to the time of last Friday is used.

[0062] Step 2.2: Calculate the air conditioning load regulation capacity by the following formula:

[0063]

[0064] Where P c-ad is the air conditioning load adjustment capacity during the peak shaving period, and k5 is the air conditioning load adjustment coefficient.

[0065] In a preferred but non-limiting embodiment, the calculation formula of the air conditioning load adjustable degree coefficient k5 is as follows:

[0066]

[0067] Where N c is the number of days the air conditioner is used within the current set period, is the normalized value of the air conditioner load in the target area, is the average value of the air conditioning load. In this embodiment, the cycle is set to 5 years. and The data are calculated based on the historical air-conditioning usage data of the target area in the previous five years.

[0068] Step 2.3: Calculate the load regulation capability of the energy storage power station by the following formula:

[0069] P e-ad =k6%P e

[0070] Where P e-ad is the load regulation capability of the energy storage power station, P e is the rated capacity of the energy storage power station, k6 is the set response coefficient of the energy storage power station, wherein the value of k6 in this embodiment is set to 90%.

[0071] Furthermore, in step 2 of this embodiment, the process of obtaining the quantitative value of the response potential of various adjustable load resources includes:

[0072] (1) Calculate the quantitative value of charging pile response resource potential:

[0073] D st =a st ·P st-ad

[0074] Where D st is the quantitative value of the charging pile response resource potential, a st is the set charging pile responsiveness, 0≤a st ≤1; considering the high uncertainty of the charging pile response, in this embodiment, the value of the charging pile responsiveness is preferably 20% to 60%.

[0075] (2) Calculate the quantitative value of air conditioning load response resource potential:

[0076] D c =a c ·Pc-ad

[0077] Where D c is the quantified value of the air conditioning load response resource potential, a c is the set air conditioning load responsiveness, 0≤a c ≤1;

[0078] In a preferred but non-limiting embodiment, when the average air conditioning set temperature in the target area changes by 1°C, the air conditioning load response a c Change 6%. That is, based on the rated load of the air conditioner, the air conditioner load response a increases by 1°C when the air conditioner temperature increases by c The change increases by 6%; for every 1℃ decrease in air conditioning temperature, the air conditioning load response a c Change decreased by 6%.

[0079] (3) Calculate the quantitative value of the energy storage power station response resource potential:

[0080] D e =a e ·P e-ad

[0081] Where D e is the quantitative value of the energy storage power station response resource potential, a e is the set energy storage power station responsiveness, 0≤a e ≤1. Since the energy storage power station has a fast response speed, in this embodiment, the value of the energy storage power station responsiveness is preferably 70% to 90%.

[0082] Step 3: Based on the quantitative values ​​of the response potential of various adjustable load resources, calculate the demand-side response resource potential: D = D st +D c +D e ;

[0083] Step 4: According to the current power supply load of the power grid and the load demand on the demand side, the distribution network dispatching control is carried out in combination with the demand side response resource potential.

[0084] As an embodiment of the present invention, the specific scheduling control steps in step 4 are as follows:

[0085] Step 4.1: Determine whether the current power grid power supply load is not lower than the demand side load demand value. If so, control the power grid to supply power to the demand side according to the original dispatch plan; if not, execute step 4.2;

[0086] Step 4.2: Calculate the difference between the power grid supply load and the demand side load demand value;

[0087] Step 4.3: Determine whether the difference between the power grid supply load and the demand side load demand value is greater than the demand side response resource potential,

[0088] If so, the power grid is controlled to increase power supply until the difference between the power supply load of the power grid and the load demand value on the demand side reaches the demand side response resource potential, and at the same time, the power load of various adjustable load resources is reduced, and the corresponding reduced power load is the response potential quantified value of each adjustable load resource, so as to make full use of the regulation potential of various adjustable load resources;

[0089] If not, then according to the quantitative value of the response potential of each adjustable load resource, the power load of the energy storage power station, the power load of the air conditioner and the power load of the charging pile are reduced in turn to meet the supply and demand balance.

[0090] As another embodiment of the present invention, on the basis of the above embodiment, the typical demand side response cost can also be calculated by the demand side response resource potential, so as to provide a reference basis for economical and effective dispatching and control of the power grid. The specific algorithm of the typical demand side response cost is:

[0091] C=C1+C2-(D st ·T st +D c ·T c +D e ·T e )·p·λ

[0092] Among them, C1 is the construction cost, C2 is the operating cost, p is the market electricity price, λ is the typical demand-side response incentive coefficient, T st is the charging pile response time, T c is the air conditioning response time, T ε is the energy storage response time; among them, the construction cost C1 includes the construction cost of charging pile response, air conditioning load, and energy storage response; the operating cost C2 is the working cost of charging pile response, air conditioning load, and energy storage response without peak shaving adjustment.

[0093] The beneficial effect of the present invention is that, compared with the prior art,

[0094] 1. The present invention aims at charging piles, air conditioners, and energy storage power stations among typical adjustable load resources on the demand side, and calculates the response load adjustment capacity of charging piles, air conditioners, and energy storage power stations in combination with the peak shaving period, respectively, to quantify the response potential of various adjustable load resources on the demand side, provide data support for promoting the optimal dispatch of power resources, and improve the operation efficiency of the power grid;

[0095] 2. While calculating the demand-side response resource potential taking into account the load regulation capability, the present invention combines the power supply conditions of the power grid to perform effective dispatching and control, maximizes the utilization of the regulation potential of various adjustable load resources on the demand side, realizes the reasonable optimization allocation of power resources, reduces the load pressure of the power grid during peak hours, improves the economy of power grid dispatching, and ensures the safety and stability of power grid operation.

[0096] Embodiment 2:

[0097] like Figure 2 As shown, the present invention provides a power grid dispatching and control system that takes into account the potential of demand-side response resources. The system is used to implement the steps of the method in the above-mentioned embodiment 1, and the system specifically includes:

[0098] The acquisition module is used to collect load information of various adjustable load resources on the demand side and power supply information of the power grid;

[0099] A quantification module is used to calculate the load regulation capabilities of various adjustable load resources according to the power consumption characteristics of various adjustable load resources, so as to obtain the quantitative value of the response potential of various adjustable load resources;

[0100] A potential calculation module is used to calculate the demand-side response resource potential based on the response potential quantification value of various adjustable load resources;

[0101] The dispatching control module is used to perform distribution network dispatching control according to the current power supply load of the power grid and the load demand on the demand side, combined with the demand side response resource potential.

[0102] The power grid dispatching and control system considering the potential of demand-side response resources provided in the embodiment of the present invention and the power grid dispatching and control method considering the potential of demand-side response resources provided in Example 1 are based on the same technical concept, and can produce the beneficial effects as described in Example 1. For the contents not described in detail in this embodiment, please refer to Example 1.

[0103] Embodiment three:

[0104] A terminal provided by an embodiment of the present invention includes a processor and a storage medium;

[0105] The storage medium is used to store instructions;

[0106] The processor is used to operate according to the instruction to execute the steps of the method according to any one of the first embodiments.

[0107] Embodiment 4:

[0108] An embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps of any method described in Embodiment 1 are implemented.

[0109] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0110] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples of computer-readable storage media (a non-exhaustive list) include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the foregoing. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0111] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0112] The computer program instructions for performing the operation of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. Computer-readable program instructions may be executed completely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be customized by utilizing the state information of the computer-readable program instructions, and the electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present disclosure.

[0113] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A power grid dispatching control method considering the potential of demand-side response resources, characterized in that: Methods include: Step 1: Collect load information of various adjustable load resources on the demand side and power supply information of the power grid; Step 2: According to the power consumption characteristics of various adjustable load resources, the load regulation capabilities of various adjustable load resources are calculated respectively to obtain the quantitative value of the response potential of various adjustable load resources; Step 3: Based on the quantitative values ​​of the response potential of various adjustable load resources, the demand-side response resource potential is calculated; Step 4: According to the current power supply load of the power grid and the load demand on the demand side, the distribution network dispatching control is carried out in combination with the demand side response resource potential.

2. The power grid dispatching control method considering the demand-side response resource potential according to claim 1 is characterized in that: In step 1, the various adjustable load resources include charging piles, air conditioners, and energy storage power stations.

3. The power grid dispatching control method considering the demand-side response resource potential according to claim 1 or 2, characterized in that: The step 2 includes: calculating the response load regulation capacity of the charging pile, the response load regulation capacity of the air conditioner and the response load regulation capacity of the energy storage power station respectively by the following formula: P e-ad =k6%P e Where P st-ad is the load regulation capability of the charging pile during the peak shaving period, T r is the peak shaving period set, N r is the number of peak shaving periods, P st (t) is the predicted load of the charging pile in period t; P c-ad is the air conditioning load adjustment capacity during the peak shaving period, k5 is the air conditioning load adjustment coefficient; P e-ad is the load regulation capability of the energy storage power station, k6 is the set energy storage power station response coefficient, P e is the rated capacity of the energy storage power station.

4. The power grid dispatching control method considering the demand-side response resource potential according to claim 3 is characterized in that: The predicted load P of the charging pile in period t st The calculation formula of (t) is as follows: P st (t)=n d k1[k2P1(t)+k3P2(t)+k4P3(t)] Where n d is the total number of cars in the target area, k1 is the proportion of electric vehicles in the total number of cars, k2 is the proportion of electric vehicles charged in residential areas, k3 is the proportion of electric vehicles charged in work areas, k4 is the proportion of electric vehicles charged in commercial areas, P1(t) is the charging power of a single electric vehicle in residential areas during period t, P2(t) is the charging power of a single electric vehicle in work areas during period t, and P3(t) is the charging power of a single electric vehicle in commercial areas during period t; where k1, k2, k3, k4, P1(t), P2(t) and P3(t) all use the electric vehicle data corresponding to the previous similar situation day, and similar situation days are divided into holidays and working days.

5. The power grid dispatching control method considering the demand-side response resource potential according to claim 3 is characterized in that: The calculation formula of the adjustable degree coefficient k5 of the air conditioning load is as follows: Where N c The number of days the air conditioner is used up to the current setting period. is the normalized value of the air conditioning load in the target area, is the average value of air conditioning load.

6. The power grid dispatching control method considering the demand-side response resource potential according to claim 3 is characterized in that: In step 2, the expressions of the response potential quantization values ​​of the various adjustable load resources are as follows: D st =a st ·P st-ad D c =a c ·P c-ad D e =a e ·P e-ad Where D st is the quantitative value of the charging pile response resource potential, a st is the set charging pile responsiveness, 0≤a st ≤1;D c is the quantified value of the air conditioning load response resource potential, a c is the set air conditioning load responsiveness, 0≤a c ≤1;D e is the quantitative value of the energy storage power station response resource potential, a e is the set energy storage power station responsiveness, 0≤a e ≤1.

7. The power grid dispatching control method considering the demand-side response resource potential according to claim 6 is characterized in that: In step 3, the expression of the demand-side response resource potential is as follows: D=D st +D c +D e Where D is the demand-side response resource potential, D st is the quantitative value of the charging pile response resource potential, D c is the quantified value of the air conditioning load response resource potential, D e Quantify the resource potential of energy storage power station response.

8. The power grid dispatching control method considering the demand-side response resource potential according to claim 1 is characterized in that: In step 4, the step of performing distribution network dispatching control in combination with the demand-side response resource potential includes: Step 4.1: Determine whether the current power grid power supply load is not lower than the demand side load demand value. If so, control the power grid to supply power to the demand side according to the original dispatch plan; if not, execute step 4.2; Step 4.2: Calculate the difference between the power grid supply load and the demand side load demand value; Step 4.3: Determine whether the difference between the power grid supply load and the demand side load demand value is greater than the demand side response resource potential, If so, the power grid is controlled to increase power supply until the difference between the power supply load of the power grid and the load demand value on the demand side reaches the demand side response resource potential, and at the same time, the power load of various adjustable load resources is reduced, and the corresponding reduced power load is the response potential quantified value of each adjustable load resource, so as to make full use of the regulation potential of various adjustable load resources; If not, then according to the quantitative value of the response potential of each adjustable load resource, the power load of the energy storage power station, the power load of the air conditioner and the power load of the charging pile are reduced in turn to meet the supply and demand balance.

9. A power grid dispatching and control system considering the potential of demand-side response resources, running the power grid dispatching and control method considering the potential of demand-side response resources as claimed in any one of claims 1 to 8, characterized in that: The system includes: The collection module is used to collect load information of various adjustable load resources on the demand side and power supply information of the power grid; A quantification module is used to calculate the load regulation capabilities of various adjustable load resources according to the power consumption characteristics of various adjustable load resources, so as to obtain the quantitative value of the response potential of various adjustable load resources; A potential calculation module is used to calculate the demand-side response resource potential based on the response potential quantification value of various adjustable load resources; The dispatching control module is used to perform distribution network dispatching control according to the current power supply load of the power grid and the load demand on the demand side, combined with the demand side response resource potential.

10. A terminal comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the method according to any one of claims 1-8.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

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