Multi-index evaluation method and device for adjusting capacity of new energy power system

Abstract

The invention discloses a new energy power system regulation capability multi-index evaluation method and device, and the method comprises the following steps: analyzing regulation capability quantitative indexes which affect the up-regulation and down-regulation demands of a power system, and constructing a system regulation capability demand index system; analyzing various types of regulation resources for providing regulation capability for the power system, and constructing a supply index system considering the regulation capability of the power system; according to the regulation capability supply index system and the regulation capability demand index system, constructing a power system regulation capability quantitative evaluation index system, and carrying out power system regulation capability evaluation; comparing the evaluation result with a preset standard threshold value, and performing early warning according to a comparison result; the operation state of the power system can be monitored in real time, and potential problems in the power system can be found in time.

Description

Technical Field

[0001] The present invention relates to the technical field of quantitative evaluation of system regulation capability, and more specifically, to a multi-index evaluation method and device for regulating capability of a new energy power system. Background Art

[0002] A high proportion of renewable energy generation has become a globally recognized scenario for future power systems. Under this new situation, the characteristics of the power system have undergone major changes, further placing higher demands on the regulation capacity of the power system. Flexibility is not a new concept. Since the 21st century, "flexibility regulation capacity" has been widely used in the planning, operation and evaluation of power systems to characterize the ability to balance power supply and demand and respond to emergencies. The International Energy Agency (IEA) pointed out that the flexibility regulation capacity of the power system refers to the ability to quickly respond to predictable and unpredictable fluctuations on both the supply and demand sides, ensuring the reliable operation of the power system under the condition of high penetration of intermittent power sources. The inherent driving force of the research on flexibility regulation capacity is not only the demand for stable operation of the new power system, but also closely related to the interests of decision makers (economy, low carbon and adequacy). At present, low-carbon technologies represented by the use of renewable energy are driving the transformation of the energy system, which means that traditional thermal power units used for flexible regulation will gradually be replaced by photovoltaic and wind power units with power electronic interfaces. The balance of system supply and demand is shifting from "deterministic supply-side resources to deal with uncertain loads" to "dynamic matching of uncertain supply-side resources with uncertain demand-side resources". Therefore, the flexible regulation capacity of the power system will continue to decline. In addition, due to the construction of low-carbon power systems, energy structures and user behaviors have changed. Factors such as the uncertainty of renewable energy, load fluctuations, and market changes require the system to have higher response speed and regulation capabilities, which leads to an increasing demand for the regulation capacity of the power system. Therefore, the quantification and evaluation of regulation capacity is the main problem faced by the research on the regulation capacity of the power system, and it is also the theoretical basis for the planning, operation, and market mechanism research of the regulation capacity of the power system.

[0003] The conventional operation of the power system relies on configuring reserve capacity to ensure power balance, which limits uncertainty, resulting in high operating costs and low feasibility. The optimal dispatch of regulation resources considering the flexibility of supply and demand balance can meet the flexibility enhancement of different target orientations (economic, low-carbon and adequacy). In this process, evaluating the safety margin of supply and demand balance and determining different dispatch strategies are key factors affecting the accurate quantification of the regulation capacity of the power system. Therefore, it is necessary to tap the regulation potential of flexible resources, accurately quantify the regulation demand, establish a new balance mechanism between the supply and demand of regulation capacity, and scientifically evaluate the regulation capacity of the power system, so as to enhance the flexibility and robustness of the system in dealing with uncertainty, provide an important basis for future power system planning and operation, and contribute to the development of low-carbon power systems.

[0004] There are at least the following technical problems in the above-mentioned disclosed technical solutions: conventional operation relies on configuring backup capacity to ensure power balance, which limits uncertainty, resulting in high operating costs and low feasibility, and cannot comprehensively and flexibly evaluate and adjust the regulation capacity of new power systems. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, the present invention provides a multi-index evaluation method for the regulation capability of a new energy power system. Through multiple directions, the impact of the regulation capability of the power system is comprehensively evaluated, and potential insufficient regulation capability and risk points are identified, so that measures can be taken in advance to reduce the possibility of power outages, ensure the stability and reliability of the power system during high load and new energy boom periods, and solve the problem of being unable to accurately and effectively evaluate the adequacy of the power system.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The multi-index evaluation method for the regulation capability of the new energy power system includes the following steps:

[0008] Analyze the quantitative indicators of regulation capacity that affect the upward and downward regulation demand of the power system, and construct a system regulation capacity demand indicator system; wherein the system regulation capacity demand indicator system includes: system regulation capacity net load demand; adjusted system regulation capacity net load demand considering the probability distribution of system load output;

[0009] Analyze various types of regulating resources that provide regulating capabilities for the power system, and construct an indicator system that considers the supply of regulating capabilities for the power system; wherein the indicator system that considers the supply of regulating capabilities for the power system includes: an indicator system for the supply of regulating capabilities that can be provided by regulating resources on the power generation side, the load side, the energy storage side, and the power grid side;

[0010] According to the regulation capacity supply index system and regulation capacity demand index system, a quantitative evaluation index system for the regulation capacity of the power system is constructed to carry out the regulation capacity evaluation of the power system;

[0011] The evaluation result is compared with a preset standard threshold, and an early warning is issued according to the comparison result.

[0012] Furthermore, the quantitative evaluation index system of the power system regulation capability includes:

[0013] The regulation capacity supply indicators include: the potential flexibility regulation capacity of the system at a certain node Indicators for ensuring supply and consumption capacity

[0014] Regulation capacity demand indicators include: System regulation capacity net demand Average shortage of system regulation capacity Probability of insufficient system regulation capability

[0015] Furthermore, the net load requirement of the system regulation capacity is expressed as follows:

[0016]

[0017] In the formula, is the flexibility adjustment requirement of node n in time period t; is the net load demand of node n in time period t; is the upward flexibility adjustment requirement of node n in time period t, is the downward flexibility adjustment demand of node n in time period t; T is the number of divided time periods; is the load demand of node n in period t, and are the total wind power output and total photovoltaic output of node n in time period t respectively;

[0018] The above quantification of the flexibility regulation demand of the system in each period is based on the prediction of net load volatility. Taking into account the uncertainty of the prediction, the net load prediction set Ω is constructed, and the flexibility demand of time period t under a certain confidence level q is defined by the probability statistics method, as shown in the following formula:

[0019]

[0020] In the formula, is the system flexibility requirement under the confidence level q. When q = 1, it indicates that all flexibility adjustment requirements in the prediction set are met. Pr[·] is the probability of event occurrence. is the system flexibility regulation demand calculated under the net load forecast set Ω.

[0021] Furthermore, the net load demand of the adjusted system regulation capacity considering the system load output probability distribution is expressed as follows:

[0022] The quantification of the flexibility regulation demand of the system in each period is based on the prediction of net load volatility. Taking into account the uncertainty of the prediction, the net load prediction set Ω is constructed, and the flexibility demand of time period t under a certain confidence level q is defined by the probability statistics method, as shown in the following formula:

[0023]

[0024] In the formula, is the system flexibility requirement under the confidence level q. When q = 1, it indicates that all flexibility adjustment requirements in the prediction set are met. Pr[·] is the probability of event occurrence. is the system flexibility regulation demand calculated under the net load forecast set Ω.

[0025] Furthermore, the regulation capacity supply indicator system that can be provided by the regulation resources on the power generation side, load side, energy storage side and grid side includes:

[0026] On the power generation side, conventional power generation units such as thermal power and gas power can undertake the flexible adjustment task of smoothing the output fluctuation of renewable energy and meeting the sudden load demand while meeting the power demand on the load side. The flexible adjustment capacity supply of the power supply side regulation resources is mainly limited by its own technical indicators such as output range and climbing rate.

[0027] (1) Quantitative indicators of the flexibility regulation capability of the power supply side.

[0028]

[0029] In the formula, is the upward flexibility adjustment capability of unit i in period t; is the downward flexibility adjustment capability of unit i in period t; is the maximum ramp rate of unit i; is the maximum down-slope rate of unit i; is the output of unit i in period t; is the minimum technical output of unit i; The maximum technical output of unit i;

[0030] (2) On the load side, the loads participating in demand response can provide a certain system flexibility adjustment capability. The loads participating in demand response are divided into interruptible loads and transferable loads. Transferable loads can provide upward and downward flexibility adjustment capabilities, while interruptible loads can only provide upward flexibility adjustment capabilities:

[0031]

[0032] In the formula, and are the upward and downward flexibility adjustment capabilities of the transferable load at node n in time period t, respectively; is the upward flexibility adjustment capability of the interruptible load at node n in time period t; and are the maximum and minimum transferable loads of node n in time period t, respectively; is the transfer amount of transferable load to node n in time period t; and are the maximum interruptible load and the interrupted load of node n in time period t respectively;

[0033] (3) On the energy storage side, various types of energy storage devices play the role of "peak shaving and valley filling", improving the flexibility and regulation capabilities of the power system:

[0034]

[0035] In the formula, and are the upward and downward flexibility adjustment capabilities of energy storage s in time period t, respectively; and are the maximum powers for charging and discharging the energy storage s, respectively; and are the charging and discharging powers of energy storage s in time period t respectively; and are the storage capacity, storage lower limit and storage upper limit of energy storage s in time period t respectively; η s,c and η s,d are the charging and discharging efficiencies of the energy storage s, respectively;

[0036] By summarizing the flexibility adjustment capabilities of the power supply side, load side, and energy storage, the potential flexibility adjustment capability of the system at a certain node can be obtained, as shown in the following formula:

[0037]

[0038] In the formula, and are the upward and downward flexibility adjustment capabilities of the system at node n, respectively;

[0039] (4) On the grid side, unlike the power generation equipment at a certain node, the grid line does not provide direct flexibility regulation capability, but the regulation capability can be provided through the energy mutual assistance of the lines between nodes. This study conducts a separate analysis of this type of regulation capability that is not controlled by the node and requires consideration of the coordination and mutual assistance between nodes. If node n is a pure load node, the regulation capability provided by the line can be characterized by the following formula:

[0040]

[0041] Where, L max is the maximum transmission limit of line l, is the transmission capacity of time period t, are the potential regulation capabilities provided by the line at node n of the system.

[0042] Furthermore, the mathematical definitions of the various quantitative indicators of regulation capabilities are as follows:

[0043] (1) Net demand for system regulation capacity

[0044]

[0045] In the formula, To adjust net capacity requirements upward; To adjust net capacity requirements downward;

[0046] (2) Average shortfall in system regulation capacity

[0047]

[0048] In the formula, The average shortfall in upward adjustment capacity during the statistical period; T is the average shortfall in downward adjustment capacity during the statistical period; up and T down They are the total number of periods with insufficient upward and downward adjustment capacity during the statistical period;

[0049] (3) Probability of insufficient system regulation capability

[0050]

[0051] In the formula, and are the probabilities of insufficient upward and downward regulation capabilities of the system, respectively;

[0052] (4) Indicators of supply and consumption guarantee

[0053]

[0054] In the formula, The probability of wind and solar power abandonment, which represents the absorption capacity; is the load shedding probability, which represents the supply guarantee capability; is the load shedding power; It is the abandoned wind and solar power; Total renewable energy output.

[0055] Furthermore, based on the regulation capacity supply index system and the regulation capacity demand index system, a quantitative evaluation index system for the regulation capacity of the power system is constructed, and the method for evaluating the regulation capacity of the power system is as follows:

[0056] Based on the obtained supply and demand indicators of the power system regulation capacity, the dispatching personnel carry out system regulation capacity supply and demand adjustments, power system dispatching operations and optimal configuration.

[0057] The multi-index evaluation device for the regulation capability of new energy power system includes:

[0058] The system regulation capacity demand index system acquisition module is used to analyze the quantitative index of regulation capacity that affects the upward and downward regulation demand of the power system and construct the system regulation capacity demand index system; wherein the system regulation capacity demand index system includes: the net load demand of the system regulation capacity; the net load demand of the system regulation capacity after adjustment considering the probability distribution of the system load output;

[0059] A system regulation capacity supply index system acquisition module is used to analyze various types of regulation resources that provide regulation capacity for the power system and construct an index system that considers the regulation capacity supply of the power system; wherein the index system that considers the regulation capacity supply of the power system includes: a regulation capacity supply index system that can be provided by the regulation resources on the power generation side, the load side, the energy storage side, and the power grid side;

[0060] A power system regulation capability evaluation module is used to construct a power system regulation capability quantitative evaluation index system based on the regulation capability supply index system and the regulation capability demand index system, and to carry out power system regulation capability evaluation;

[0061] The early warning module is used to compare the evaluation result with a preset standard threshold value and issue an early warning based on the comparison result.

[0062] A computing device comprising:

[0063] one or more processing units;

[0064] A storage unit for storing one or more programs,

[0065] Wherein, when the one or more programs are executed by the one or more processing units, the one or more processing units execute the multi-index evaluation method for the regulation capability of the new energy power system as described above.

[0066] A computer-readable storage medium having a non-volatile program code executable by a processor, wherein when the computer program is executed by the processor, the steps of the multi-index evaluation method for regulating capability of a new energy power system as described above are implemented.

[0067] The multi-index evaluation method and device for regulating capability of a new energy power system of the present invention have the following beneficial effects:

[0068] 1. The present invention can monitor the operating status of the power system in real time through the quantitative evaluation method and device, which helps to timely discover potential problems in the power system, such as sudden load increase, equipment failure, etc., so as to take effective measures to intervene and avoid further deterioration of the problem;

[0069] 2. The present invention can optimize the configuration and dispatch of power resources by calculating and analyzing various indicators for evaluating the regulating capacity of the power system. In the context of the increasing proportion of renewable energy power generation, the method and device can more accurately predict the power generation and output of new energy, thereby reasonably arranging the power generation plans of traditional energy and new energy, and avoiding energy waste and the risk of over-reliance on a single energy source. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Figure 1 A flowchart of a multi-index evaluation method for regulating capability of a new energy power system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0071] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0072] Example 1

[0073] like Figure 1 As shown in FIG. 1 , the multi-index evaluation method for the regulation capability of the new energy power system includes the following steps:

[0074] Analyze the quantitative indicators of regulation capacity that affect the upward and downward regulation demand of the power system, and construct a system regulation capacity demand indicator system; wherein the system regulation capacity demand indicator system includes: system regulation capacity net load demand; adjusted system regulation capacity net load demand considering the probability distribution of system load output;

[0075] Analyze various types of regulating resources that provide regulating capabilities for the power system, and construct an indicator system that considers the supply of regulating capabilities for the power system; wherein the indicator system that considers the supply of regulating capabilities for the power system includes: an indicator system for the supply of regulating capabilities that can be provided by regulating resources on the power generation side, the load side, the energy storage side, and the power grid side;

[0076] According to the regulation capacity supply index system and regulation capacity demand index system, a quantitative evaluation index system for the regulation capacity of the power system is constructed to carry out the regulation capacity evaluation of the power system;

[0077] The evaluation result is compared with a preset standard threshold, and an early warning is issued according to the comparison result.

[0078] The quantitative evaluation index system of the power system regulation capability includes:

[0079] Net demand for system regulation capacity, average shortage of system regulation capacity, probability of insufficient system regulation capacity, and indicators of supply and absorption capacity.

[0080] The net load requirement of the system regulation capacity is expressed as follows:

[0081]

[0082] In the formula, is the flexibility adjustment requirement of node n in time period t; is the net load demand of node n in time period t; is the upward flexibility adjustment requirement of node n in time period t, is the downward flexibility adjustment demand of node n in time period t; T is the number of divided time periods; is the load demand of node n in period t, and are the total wind power output and total photovoltaic output of node n in time period t respectively;

[0083] The above quantification of the flexibility regulation demand of the system in each period is based on the prediction of net load volatility. Taking into account the uncertainty of the prediction, the net load prediction set Ω is constructed, and the flexibility demand of time period t under a certain confidence level q is defined by the probability statistics method, as shown in the following formula:

[0084]

[0085] In the formula, is the system flexibility requirement under the confidence level q. When q = 1, it indicates that all flexibility adjustment requirements in the prediction set are met. Pr[·] is the probability of event occurrence. is the system flexibility regulation demand calculated under the net load forecast set Ω.

[0086] The net load demand of the adjusted system regulation capacity considering the probability distribution of system load output is expressed as follows:

[0087] The quantification of the flexibility regulation demand of the system in each period is based on the prediction of net load volatility. Taking into account the uncertainty of the prediction, the net load prediction set Ω is constructed, and the flexibility demand of time period t under a certain confidence level q is defined by the probability statistics method, as shown in the following formula:

[0088]

[0089] In the formula, is the system flexibility requirement under the confidence level q. When q = 1, it indicates that all flexibility adjustment requirements in the prediction set are met. Pr[·] is the probability of event occurrence. is the system flexibility regulation demand calculated under the net load forecast set Ω.

[0090] In order to calculate the supply of flexible regulation capacity of the power system in various time periods, it is necessary to clarify the technical indicators of various types of flexible regulation resources and consider the transmission constraints of the power grid. By analyzing the upward and downward regulation capabilities of various types of regulation resources in the system in time period t, the theoretical supply level of flexibility regulation capacity of each node in the power system is finally summed up; considering various types of regulation resources in the power system, the system regulation capacity supply is divided into the power generation side, the grid side, the load side and the energy storage side for statistical calculation.

[0091] The regulation capacity supply indicator system that can be provided by the regulation resources on the power generation side, load side, energy storage side and grid side includes:

[0092] On the power generation side, conventional power generation units such as thermal power and gas power can undertake the flexible adjustment task of smoothing the output fluctuation of renewable energy and meeting the sudden load demand while meeting the power demand on the load side. The flexible adjustment capacity supply of the power supply side regulation resources is mainly limited by its own technical indicators such as output range and climbing rate.

[0093] (1) Quantitative indicators of the flexibility regulation capability of the power supply side.

[0094]

[0095] In the formula, is the upward flexibility adjustment capability of unit i in period t; is the downward flexibility adjustment capability of unit i in period t; is the maximum ramp rate of unit i; is the maximum down-slope rate of unit i; is the output of unit i in period t; is the minimum technical output of unit i; The maximum technical output of unit i;

[0096] (2) On the load side, the loads participating in demand response can provide a certain system flexibility adjustment capability. The loads participating in demand response are divided into interruptible loads and transferable loads. Transferable loads can provide upward and downward flexibility adjustment capabilities, while interruptible loads can only provide upward flexibility adjustment capabilities:

[0097]

[0098] In the formula, and are the upward and downward flexibility adjustment capabilities of the transferable load at node n in time period t, respectively; is the upward flexibility adjustment capability of the interruptible load at node n in time period t; and are the maximum and minimum transferable loads of node n in time period t, respectively; is the transfer amount of transferable load to node n in time period t; and are the maximum interruptible load and the interrupted load of node n in time period t respectively;

[0099] (3) On the energy storage side, various types of energy storage devices play the role of "peak shaving and valley filling", improving the flexibility and regulation capabilities of the power system:

[0100]

[0101] In the formula, and are the upward and downward flexibility adjustment capabilities of energy storage s in time period t, respectively; and are the maximum powers for charging and discharging the energy storage s, respectively; and are the charging and discharging powers of energy storage s in time period t respectively; and are the storage capacity, storage lower limit and storage upper limit of energy storage s in time period t respectively; η s,c and η s,d are the charging and discharging efficiencies of the energy storage s, respectively;

[0102] By summarizing the flexibility adjustment capabilities of the power supply side, load side, and energy storage, the potential flexibility adjustment capability of the system at a certain node can be obtained, as shown in the following formula:

[0103]

[0104] In the formula, and are the upward and downward flexibility adjustment capabilities of the system at node n, respectively;

[0105] (4) On the grid side, unlike the power generation equipment at a certain node, the grid line does not provide direct flexibility regulation capability, but the regulation capability can be provided through the energy mutual assistance of the lines between nodes. This study conducts a separate analysis of this type of regulation capability that is not controlled by the node and requires consideration of the coordination and mutual assistance between nodes. If node n is a pure load node, the regulation capability provided by the line can be characterized by the following formula:

[0106]

[0107] Where, L max is the maximum transmission limit of line l, is the transmission capacity of time period t, are the potential regulation capabilities provided by the line at node n of the system.

[0108] The mathematical definitions of the various quantitative indicators of regulatory capabilities are as follows:

[0109] (1) Net demand for system regulation capacity

[0110]

[0111] In the formula, To adjust net capacity requirements upward; To adjust net capacity requirements downward;

[0112] (2) Average shortfall in system regulation capacity

[0113]

[0114] In the formula, The average shortfall in upward adjustment capacity during the statistical period; T is the average shortfall in downward adjustment capacity during the statistical period; up and T down They are the total number of periods with insufficient upward and downward adjustment capacity during the statistical period;

[0115] (3) Probability of insufficient system regulation capability

[0116]

[0117] In the formula, and are the probabilities of insufficient upward and downward regulation capabilities of the system, respectively;

[0118] (4) Indicators of supply and consumption guarantee

[0119]

[0120] In the formula, The probability of wind and solar power abandonment, which represents the absorption capacity; is the load shedding probability, which represents the supply guarantee capability; is the load shedding power; It is the abandoned wind and solar power; Total renewable energy output.

[0121] Based on the regulation capacity supply index system and regulation capacity demand index system, a quantitative evaluation index system for the regulation capacity of the power system is constructed, and the regulation capacity evaluation of the power system is carried out to obtain the regulation capacity supply and demand situation table of the power system, so as to guide the dispatching personnel to carry out the adjustment of the supply and demand of the system regulation capacity, the dispatching operation and the optimal configuration of the power system.

[0122] The regulation capacity supply indicators include: the potential flexibility regulation capacity of the system at a certain node Indicators for ensuring supply and consumption capacity

[0123] Regulation capacity demand indicators include: System regulation capacity net demand Average shortage of system regulation capacity Probability of insufficient system regulation capability

[0124] Based on the dispatching personnel's experience in the dispatching and operation of the power system, a standard threshold for the regulation capacity supply and demand indicator is set, the evaluation result is compared with the preset standard threshold, and an early warning is issued based on the comparison result. If the probability of insufficient system regulation capacity is higher than 60%, a risk warning for improving the system regulation capacity supply is issued.

[0125] Example 2

[0126] This embodiment provides a multi-index evaluation device for regulating capability of a new energy power system, including:

[0127] The system regulation capacity demand index system acquisition module is used to analyze the quantitative index of regulation capacity that affects the upward and downward regulation demand of the power system and construct the system regulation capacity demand index system; wherein the system regulation capacity demand index system includes: the net load demand of the system regulation capacity; the net load demand of the system regulation capacity after adjustment considering the probability distribution of the system load output;

[0128] A system regulation capacity supply index system acquisition module is used to analyze various types of regulation resources that provide regulation capacity for the power system and construct an index system that considers the regulation capacity supply of the power system; wherein the index system that considers the regulation capacity supply of the power system includes: a regulation capacity supply index system that can be provided by the regulation resources on the power generation side, the load side, the energy storage side, and the power grid side;

[0129] A power system regulation capability evaluation module is used to construct a power system regulation capability quantitative evaluation index system based on the regulation capability supply index system and the regulation capability demand index system, and to carry out power system regulation capability evaluation;

[0130] The early warning module is used to compare the evaluation result with a preset standard threshold value and issue an early warning based on the comparison result.

[0131] A computing device is also provided, comprising:

[0132] one or more processing units;

[0133] A storage unit for storing one or more programs,

[0134] Among them, when the one or more programs are executed by the one or more processing units, the one or more processing units execute the multi-index evaluation method for the regulation capability of the new energy power system in this embodiment; it should be noted that the computing device may include but is not limited to a processing unit and a storage unit; technical personnel in this field can understand that the computing device includes a processing unit and a storage unit and does not constitute a limitation on the computing device, and may include more components, or a combination of certain components, or different components. For example, the computing device may also include input and output devices, network access devices, buses, etc.

[0135] A computer-readable storage medium having a non-volatile program code executable by a processor, wherein the computer program, when executed by the processor, implements the steps of the multi-index evaluation method for regulating capacity of a new energy power system in this embodiment; it should be noted that the readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof; the program contained on the readable medium may be transmitted by any appropriate medium, including, but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination thereof. For example, the program code for performing the operation of the present invention may be written in any combination of one or more programming languages, wherein the programming language includes an object-oriented programming language, such as Java, C++, etc., and also includes a conventional procedural programming language, such as C language or a similar programming language. The program code may be executed entirely on a user computing device, partially on a user device, as an independent software package, or entirely on a remote computing device or server. In cases involving a remote computing device, the remote computing device may be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., through the Internet using an Internet service provider).

[0136] Finally, it should be pointed out that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them. Although the present invention has been described in detail with reference to the above embodiments, a person skilled in the art should understand that the technical solutions described in the above embodiments can still be modified, or some of the technical features can be replaced by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A multi-index evaluation method for the regulation capability of a new energy power system, characterized in that: The steps include: Analyze the quantitative indicators of regulation capacity that affect the upward and downward regulation demand of the power system, and construct a system regulation capacity demand indicator system; wherein the system regulation capacity demand indicator system includes: system regulation capacity net load demand; adjusted system regulation capacity net load demand considering the probability distribution of system load output; Analyze various types of regulating resources that provide regulating capabilities for the power system, and construct an indicator system that considers the supply of regulating capabilities for the power system; wherein the indicator system that considers the supply of regulating capabilities for the power system includes: an indicator system for the supply of regulating capabilities that can be provided by regulating resources on the power generation side, the load side, the energy storage side, and the power grid side; According to the regulation capacity supply index system and regulation capacity demand index system, a quantitative evaluation index system for the regulation capacity of the power system is constructed to carry out the regulation capacity evaluation of the power system; The evaluation result is compared with a preset standard threshold, and an early warning is issued according to the comparison result.

2. The multi-index evaluation method for regulating capability of a new energy power system according to claim 1 is characterized in that: The quantitative evaluation index system of the power system regulation capability includes: Adjustment capacity supply indicator: the potential flexibility adjustment capacity of the system at a certain node Indicators for ensuring supply and consumption capacity Adjustment capacity demand indicator: system adjustment capacity net demand Average shortage of system regulation capacity Probability of insufficient system regulation capability 3. The multi-index evaluation method for regulating capability of a new energy power system according to claim 1 is characterized in that: The net load requirement of the system regulation capacity is expressed as follows: In the formula, is the flexibility adjustment requirement of node n in time period t; is the net load demand of node n in time period t; is the upward flexibility adjustment requirement of node n in time period t, is the downward flexibility adjustment demand of node n in time period t; T is the number of divided time periods; is the load demand of node n in period t, P t n,wind and P t n,pv are the total wind power output and total photovoltaic output of node n in time period t respectively.

4. The multi-index evaluation method for regulating capability of a new energy power system according to claim 1 is characterized in that: The net load demand of the adjusted system regulation capacity considering the probability distribution of system load output is expressed as follows: The quantification of the flexibility regulation demand of the system in each period is based on the prediction of net load volatility. Taking into account the uncertainty of the prediction, the net load prediction set Ω is constructed, and the flexibility demand of time period t under a certain confidence level q is defined by the probability statistics method, as shown in the following formula: In the formula, is the system flexibility requirement under the confidence level q. When q = 1, it indicates that all flexibility adjustment requirements in the prediction set are met. Pr[·] is the probability of event occurrence. is the system flexibility regulation demand calculated under the net load forecast set Ω.

5. The multi-index evaluation method for regulating capability of a new energy power system according to claim 1 is characterized in that: The regulation capacity supply indicator system that can be provided by the regulation resources on the power generation side, load side, energy storage side and grid side includes: (1) Quantitative indicators of power supply side flexibility regulation capability: In the formula, is the upward flexibility adjustment capability of unit i in period t; is the downward flexibility adjustment capability of unit i in period t; is the maximum ramp rate of unit i; is the maximum down-slope rate of unit i; is the output of unit i in period t; P i min is the minimum technical output of unit i; P i max The maximum technical output of unit i; (2) On the load side, the loads participating in demand response can provide a certain system flexibility adjustment capability. The loads participating in demand response are divided into interruptible loads and transferable loads. Transferable loads can provide upward and downward flexibility adjustment capabilities, while interruptible loads can only provide upward flexibility adjustment capabilities: In the formula, and are the upward and downward flexibility adjustment capabilities of the transferable load at node n in time period t, respectively; is the upward flexibility adjustment capability of the interruptible load at node n in time period t; and are the maximum and minimum transferable loads of node n in time period t, respectively; is the transfer amount of transferable load to node n in time period t; and are the maximum interruptible load and the interrupted load of node n in time period t respectively; (3) On the energy storage side, various types of energy storage devices play the role of "peak shaving and valley filling", improving the flexibility and regulation capabilities of the power system: In the formula, and are the upward and downward flexibility adjustment capabilities of energy storage s in time period t, respectively; and are the maximum powers for charging and discharging the energy storage s, respectively; and are the charging and discharging powers of energy storage s in time period t respectively; and are the storage capacity, storage lower limit and storage upper limit of energy storage s in time period t respectively; η s,c and η s,d are the charging and discharging efficiencies of the energy storage s, respectively; By summarizing the flexibility adjustment capabilities of the power supply side, load side, and energy storage, the potential flexibility adjustment capability of the system at a certain node can be obtained, as shown in the following formula: In the formula, and are the upward and downward flexibility adjustment capabilities of the system at node n, respectively; (4) On the grid side, the grid lines do not provide direct flexibility regulation capabilities. The regulation capability is provided through the energy mutual assistance of the lines between nodes. If node n is a pure load node, the regulation capability provided by the line can be characterized by the following formula: Where, L max is the maximum transmission limit of line l, is the transmission capacity of time period t, are the potential regulation capabilities provided by the line at node n of the system.

6. The multi-index evaluation method for regulating capability of a new energy power system according to claim 1 is characterized in that: The mathematical definitions of the various quantitative indicators of regulatory capabilities are as follows: (1) Net demand for system regulation capacity In the formula, To adjust net capacity requirements upward; To adjust net capacity requirements downward; (2) Average shortfall in system regulation capacity In the formula, The average shortfall in upward adjustment capacity during the statistical period; The average shortfall in downward adjustment capacity during the statistical period; T up and T down They are the total number of periods with insufficient upward and downward adjustment capacity during the statistical period; (3) Probability of insufficient system regulation capability In the formula, and are the probabilities of insufficient upward and downward regulation capabilities of the system, respectively; (4) Indicators of supply and consumption guarantee In the formula, The probability of wind and solar power abandonment, which represents the absorption capacity; is the load shedding probability, which represents the supply guarantee capability; is the load shedding power; It is the abandoned wind and solar power; Total renewable energy output.

7. The multi-index evaluation method for regulating capability of a new energy power system according to claim 1 is characterized in that: According to the regulation capacity supply index system and regulation capacity demand index system, a quantitative evaluation index system for power system regulation capacity is constructed, and the method for evaluating power system regulation capacity is as follows: Based on the obtained supply and demand indicators of the power system regulation capacity, the dispatching personnel carry out system regulation capacity supply and demand adjustments, power system dispatching operations and optimal configuration.

8. A multi-index evaluation device for regulating capability of a new energy power system, characterized in that: include: The system regulation capacity demand index system acquisition module is used to analyze the quantitative index of regulation capacity that affects the upward and downward regulation demand of the power system and construct the system regulation capacity demand index system; wherein the system regulation capacity demand index system includes: the net load demand of the system regulation capacity; the net load demand of the system regulation capacity after adjustment considering the probability distribution of the system load output; A system regulation capacity supply index system acquisition module is used to analyze various types of regulation resources that provide regulation capacity for the power system and construct an index system that considers the regulation capacity supply of the power system; wherein the index system that considers the regulation capacity supply of the power system includes: a regulation capacity supply index system that can be provided by the regulation resources on the power generation side, the load side, the energy storage side, and the power grid side; A power system regulation capability evaluation module is used to construct a power system regulation capability quantitative evaluation index system based on the regulation capability supply index system and the regulation capability demand index system, and to carry out power system regulation capability evaluation; The early warning module is used to compare the evaluation result with a preset standard threshold value and issue an early warning based on the comparison result.

9. A computing device, characterized in that: include: one or more processing units; A storage unit for storing one or more programs, Wherein, when the one or more programs are executed by the one or more processing units, the one or more processing units execute the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a non-volatile program code executable by a processor, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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