Energy efficiency evaluation method, device, electronic device and storage medium

Abstract

The present invention discloses a method, device, electronic device, and storage medium for energy efficiency evaluation, wherein the method comprises: obtaining first electricity consumption information of electricity consumption within a preset evaluation period, and determining an electricity consumption evaluation index value based on the first electricity consumption information; wherein the first electricity consumption information corresponds to the stored electricity information in the electricity storage unit, and the stored electricity information is electricity information based on solar energy conversion; determining theoretical load-side power information of each converter within the preset evaluation period, acting on the corresponding converter based on the theoretical load-side power information, determining load-related information and actual converter power information; determining a target energy efficiency evaluation value based on the electricity consumption evaluation index value, the load-related information, and the actual converter power information; and determining energy efficiency information based on the target energy efficiency evaluation value. The method solves the problems of inaccurate energy efficiency evaluation in the power grid system and the lack of effective energy efficiency evaluation methods, and achieves the effect of effectively evaluating the energy efficiency in the power grid system.

Description

Technical Field

[0001] Embodiments of the present invention relate to the technical field of power grid energy efficiency evaluation, and in particular to a method, device, electronic device, and storage medium for energy efficiency evaluation. Background Art

[0002] With the increasing popularity of renewable energy, the demand for new power flow allocation strategies in DC distribution systems has attracted extensive research.

[0003] In recent years, some studies have explored the evaluation and design optimization of DC distribution system equipment and analyzed the factors that influence the efficiency of specific equipment. Other studies have also proposed optimal bus voltage levels based on comparative analysis of different AC / DC distribution system topologies. However, current research has not yet determined the optimal energy efficiency of AC / DC systems in distribution networks. In other words, current research lacks an accurate evaluation method for this issue.

[0004] In order to solve the above problems, it is necessary to optimize the energy management system in the distribution network system and determine a more effective energy efficiency evaluation method for AC and DC systems. Summary of the Invention

[0005] The present invention provides a method, device, electronic device and storage medium for energy efficiency evaluation, so as to achieve the effect of effectively evaluating the energy efficiency in the power grid system.

[0006] In a first aspect, an embodiment of the present invention provides a method for energy efficiency evaluation, characterized by comprising:

[0007] Obtaining first electricity usage information of electricity consumption within a preset evaluation period, and determining an electricity consumption evaluation index value based on the first electricity usage information; wherein the first electricity usage information corresponds to stored electricity information in the electricity storage unit, and the stored electricity information is electricity information based on solar energy conversion;

[0008] Determining theoretical load-side power information of each converter within the preset evaluation time, and acting on the corresponding converter based on the theoretical load-side power information to determine load association information and actual converter power information;

[0009] Determining a target energy efficiency evaluation value based on the power consumption evaluation index value, load association information, and actual converter power information;

[0010] Energy efficiency information is determined based on the target energy efficiency evaluation value.

[0011] In a second aspect, an embodiment of the present invention further provides an energy efficiency evaluation device, characterized by comprising:

[0012] An electricity consumption evaluation index value determination module, configured to obtain first electricity consumption information of electricity consumption within a preset evaluation period, and determine an electricity consumption evaluation index value based on the first electricity consumption information; wherein the first electricity consumption information corresponds to stored electricity information in the electricity storage unit, and the stored electricity information is based on electricity energy converted from solar energy;

[0013] an information determination module, configured to determine theoretical load-side power information of each converter within the preset evaluation time period, and act on the corresponding converter based on the theoretical load-side power information to determine load association information and actual converter power information;

[0014] a target energy efficiency evaluation value determination module, configured to determine a target energy efficiency evaluation value based on the power consumption evaluation index value, load association information, and actual converter power information;

[0015] The energy efficiency information determination module is configured to determine energy efficiency information based on the target energy efficiency evaluation value.

[0016] In a third aspect, an embodiment of the present invention further provides an electronic device, comprising:

[0017] one or more processors;

[0018] a storage device for storing one or more programs,

[0019] When the one or more programs are executed by the one or more processors, the one or more processors implement the energy efficiency evaluation method as described in any one of the embodiments of the present invention.

[0020] In a fourth aspect, an embodiment of the present invention further provides a storage medium comprising computer-executable instructions, which, when executed by a computer processor, are used to perform the energy efficiency evaluation method as described in any one of the embodiments of the present invention.

[0021] The technical solution of this embodiment obtains first electricity consumption information for a preset evaluation period and determines an electricity consumption evaluation index value based on the first electricity consumption information. The obtained electricity consumption evaluation index value can be used as an economic benefit indicator for the renewable energy system. Based on the economic benefit index, the economic cost saved by the electricity provided by the renewable energy can be determined. The theoretical load-side power information of each converter within the preset evaluation period is determined. Based on the theoretical load-side power information, load-related information and actual converter power information are applied to the corresponding converters to determine the energy saving index of the electricity provided by the renewable energy system. This information can be used to evaluate the feasibility of power flow distribution in the power grid system and avoid additional energy loss. A target energy efficiency evaluation value is determined based on the electricity consumption evaluation index value, load-related information, and actual converter power information. Combining the economic benefit index and energy saving index, a comprehensive evaluation index is generated for evaluating the energy efficiency of the power grid system. Based on the target energy efficiency evaluation value, energy efficiency information is determined, and the AC and DC energy efficiency of the power grid system can be evaluated based on the energy efficiency information. This solves the problems of inaccurate energy efficiency evaluation and the lack of effective energy efficiency evaluation methods in power grid systems, achieving effective energy efficiency evaluation in power grid systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] To more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings introduced here only illustrate some of the embodiments to be described by the present invention, and are not exhaustive. A person skilled in the art can derive other drawings based on these drawings without inventive effort.

[0023] Figure 1 This is a flow chart of a method for energy efficiency evaluation provided in Example 1 of the present invention;

[0024] Figure 2 A schematic diagram of a function curve with different energy efficiency definitions provided in the second embodiment of the present invention;

[0025] Figure 3 This is a structural diagram of an energy efficiency evaluation device provided in Example 3 of the present invention.

[0026] Figure 4 This is a structural diagram of an electronic device provided in Example 4 of the present invention. DETAILED DESCRIPTION

[0027] The present invention will be further described in detail below with reference to the accompanying drawings and examples. It will be understood that the specific embodiments described herein are intended only to illustrate the present invention and are not intended to limit the present invention. It should also be noted that, for ease of description, the accompanying drawings only illustrate portions relevant to the present invention, not all structures.

[0028] Example 1

[0029] Figure 1 This is a flow chart of a method for energy efficiency evaluation provided in Example 1 of the present invention. This embodiment is applicable to the situation where the energy efficiency of an energy management system for renewable energy is evaluated. The method can be performed by an energy efficiency evaluation device, which can be implemented in the form of software and / or hardware. The hardware can be an electronic device, such as a mobile terminal or a PC.

[0030] like Figure 1 As shown, the method includes:

[0031] S110. Obtain first electricity usage information of electricity consumption within a preset evaluation period, and determine an electricity consumption evaluation index value based on the first electricity usage information; wherein, the first electricity usage information corresponds to the stored electricity information in the electricity storage unit, and the stored electricity information is electricity information based on solar energy conversion.

[0032] The preset evaluation duration can be understood as a pre-set duration for evaluating the first electricity usage information. For example, the preset evaluation duration can be set to correspond to peak or off-peak electricity usage periods, or to the duration corresponding to the photovoltaic system converting solar energy into electrical energy. The specific preset evaluation duration can be set based on actual circumstances. It should be noted that the renewable energy generation system includes a photovoltaic system, which utilizes the photovoltaic effect to directly convert solar energy into electrical energy and then stores the converted electrical energy in corresponding energy storage units. The first electricity usage information can be understood as the power output of the grid based on a distributed power source and distributed energy storage system, or as the power output of a microgrid based on the photovoltaic system. The photovoltaic system converts solar energy into electrical energy and stores it in the energy storage unit. When the electricity usage setting requires electrical energy, the energy in the energy storage unit can be preferentially used, without having to export electricity from the grid system to each electrical device. This can reduce renewable energy waste, fully utilize the energy utilization rate of renewable energy, and thereby improve the economic benefits of the renewable energy system. The electricity usage evaluation index value can be understood as a value that evaluates the economic benefits of the renewable energy system.

[0033] Specifically, existing renewable energy storage units typically draw low-priced electricity from the grid system when the grid price is at a low point, and then provide the stored electricity to power users when the price is at a peak. Alternatively, they focus on absorbing electricity when the storage unit is not fully charged or when the net energy value of the entire system is negative. However, such a design results in significant waste of renewable energy, fails to fully utilize renewable energy, reduces the system's energy efficiency, and places high economic demands. In this embodiment, the photovoltaic system typically converts solar energy into electricity when it can be collected during the day, and then preferentially provides the electricity stored in the storage unit to power users at night or when solar energy is insufficient, fully leveraging the power supply advantages of renewable energy while improving economic indicators. By obtaining first electricity consumption information for a preset evaluation period, and then determining an electricity consumption evaluation index value based on the first electricity consumption information, the energy saving ratio of renewable energy, i.e., electricity provided by the photovoltaic system, can be determined based on the electricity consumption evaluation index value. The first electricity consumption information corresponds to the stored electricity information in the storage unit, which is information based on electricity converted from solar energy.

[0034] Optionally, obtaining the first electricity usage information of the electricity consumption within a preset evaluation period and determining the electricity usage evaluation index value based on the first electricity usage information includes: obtaining the electric energy information used within the preset evaluation period and determining the first electricity usage information corresponding to the electric energy information; determining the electricity usage evaluation index value based on the first electricity usage information and the total electricity usage information within the preset evaluation period.

[0035] Among them, the total electricity consumption information can be understood as the power output of the power grid based on the conventional power system.

[0036] Specifically, the electric energy provided by the microgrid to each power-consuming device is used as the first power consumption information, and the electric energy provided by the grid output of the conventional power system to each power-consuming device is used as the total power consumption information. As for the electricity price of each region, it remains basically stable most of the time. Therefore, the ratio of the grid output of the microgrid to the grid output of the conventional power system can be used as an evaluation standard. Based on this, the electric energy information used by each power-consuming device within the preset evaluation time can be obtained, and the first power consumption information corresponding to each power-consuming device and the total power consumption information corresponding to the electric energy information used by each power-consuming device within the preset evaluation time can be determined. Then, based on the ratio of the first power consumption information and the total power consumption information, the power consumption evaluation index value can be determined.

[0037] S120 , determining theoretical load-side power information of each converter within the preset evaluation time, and acting on the corresponding converter based on the theoretical load-side power information to determine load association information and actual converter power information.

[0038] The converter can be understood as the grid-connected converter in a photovoltaic system, which is used to convert the direct current (DC) electricity converted from solar energy in the photovoltaic system into alternating current (AC) electricity that can be directly used by electrical devices. The theoretical load-side power information can be understood as the maximum output power information corresponding to the converter. Load-related information can be understood as the load information of each electrical device. Load-related information can include power loss information of each electrical device, transmission power information during transmission, and converter power. Electrical devices can include air conditioners, refrigerators, heaters, or various electrical appliances. Actual converter power information can be understood as the usable power transmitted by the converter to each electrical device based on the power information corresponding to the solar panel.

[0039] Specifically, in a photovoltaic system, each converter typically operates in maximum power point tracking (MPPT) mode. The maximum power generated by the solar panels connected to each converter can be used as the theoretical load-side power information for each converter. This determined theoretical load-side power information for each converter can then be applied to each converter. In actual use, each converter is connected in parallel, allowing for power flow conversion between two voltage levels. The energy management system allocates power to each consumer. Based on the power allocation information for each consumer, the corresponding load-related information and actual converter power information can be determined.

[0040] Optionally, determining the theoretical load side power information of each converter within the preset evaluation time includes: optimizing the pre-constructed converter strategy model based on the pre-constructed Lagrangian function to obtain the target converter strategy model; determining the total power value based on the actual load side power value of each converter within the preset evaluation time, and determining the theoretical load side power information of each converter based on the total power value.

[0041] Among them, the constrained function optimization problem is converted into an unconditional function optimization problem through the Lagrangian function. In this embodiment, the pre-assembled converter strategy model is optimized using the Lagrangian function to obtain an optimized converter strategy model, and then the optimal solution for the load-side power value of each converter is determined based on the optimized model. The converter strategy model can be understood as a model that trains the relevant information of each converter in the photovoltaic system. The target converter strategy model can be understood as a model that optimizes the pre-built converter strategy model based on the pre-built Lagrangian function. The actual load-side power value can be understood as the power value of each electrical device during use, and the total power value can be understood as the sum of the actual load-side power values of each converter.

[0042] Specifically, each converter exists in a parallel structure in the photovoltaic system. To optimize each converter, a pre-built converter strategy model can be optimized using a pre-built Lagrangian function, and the optimized converter strategy model can be used as the target converter strategy model. The target converter strategy model can be used to obtain the actual load-side power value of each converter within a preset evaluation period. The total power value can then be obtained by summing the actual load-side power values. Based on the total power value, the theoretical load-side power information of each converter can be determined.

[0043] Optionally, the Lagrangian function is:

[0044]

[0045] Among them, x i Indicates the load side power value of the converter; Loss(x i ) represents the power loss value of the converter; g(x i ) is equivalent to S, which represents the sum of the powers of the individual converters; λ represents a local variable; N represents the number of converters; Denotes the Lagrangian function (x i ,λ)=∑Loss(x i )+λg(x i ) i Find extreme values; Denotes the Lagrangian function (x i ,λ)=∑Loss(x i )+λg(x i ) to find the extreme value of λ; Ans.x i Indicates that the solution result is the load side power value of the converter.

[0046] The converter strategy model is:

[0047]

[0048] Among them, Min∑Loss i Indicates the minimum power loss value of the converter; η i represents the transmission energy efficiency of the converter; g(x i ) is equivalent to S, which represents the sum of the power of each converter; x i Indicates the load side power value of the converter; num indicates the number of converters; K indicates the rated power of the converter; Indicates the unit power value of the converter.

[0049] Optionally, the obtaining of first electricity consumption information of electricity consumption within a preset evaluation period and determining an electricity consumption evaluation index value based on the first electricity consumption information includes: applying the theoretical load side information to the corresponding converter to determine the load consumption power of each device, the transmission power of the cable transmission, and the actual converter power information of each converter.

[0050] Specifically, when a photovoltaic system converts solar energy into electricity and transmits it to various electrical devices, each component, converter, and the cables involved in the transmission process require corresponding power. Theoretical load-side information can be applied to the corresponding converter to determine the load power consumption of each component, such as the load power consumption of air conditioners, heating equipment, and various electrical devices. The transmission power transmitted by the cable during the transmission process and the actual converter power information corresponding to each converter can also be determined.

[0051] S130 : Determine a target energy efficiency evaluation value according to the power consumption evaluation index value, load association information, and actual converter power information.

[0052] The target energy efficiency evaluation value may be understood as a value for evaluating the system energy efficiency of the energy management system of the converter.

[0053] Specifically, the target energy efficiency evaluation value can be determined by two parts, including the power consumption evaluation index value and the energy-saving index value corresponding to the load association information and the actual converter power information. The sum of the two index values is taken as the target energy efficiency evaluation value, and then the energy management system can be evaluated based on the target energy efficiency evaluation value.

[0054] Optionally, determining the target energy efficiency evaluation value based on the power consumption evaluation index value, load association information and actual converter power information includes: determining the converter index value based on the load association information, actual converter power information and the objective function; determining the target energy efficiency evaluation value based on the power consumption evaluation index value, converter index value and corresponding weight values.

[0055] In order to determine the optimal energy-saving evaluation index value for the system, different functions can be set to calculate the load-related information and actual converter power information in the system. The objective function can be understood as the function that best reflects the energy-saving effect among multiple pre-set functions. The converter index value can be understood as the energy-saving index value of the converter determined based on the objective function. When calculating the target energy efficiency evaluation value, it can be determined by the power consumption evaluation index value and the energy-saving index value corresponding to the load-related information and actual converter power information. The weight value can be understood as the proportion corresponding to the power consumption evaluation index value and the converter index value when calculating the target energy efficiency evaluation value.

[0056] Specifically, functions corresponding to different energy-saving index calculation methods are set, and the function that best reflects the energy-saving evaluation index is used as the objective function. The index values of each converter are then determined based on the objective function. Based on actual needs, different weights are assigned to the power consumption evaluation index and the converter index. The target energy efficiency evaluation value is determined based on the power consumption evaluation index, the converter index, and the corresponding weights.

[0057] Exemplarily, three different functions for calculating the energy efficiency of the energy system are set, namely, function y1, function y2 and function y3 represent the converter index values determined by different calculation methods. The corresponding energy efficiency growth curve can be determined according to the converter index values determined by each function. By comparison, it is found that function y2 is the most reasonable function for calculating the energy efficiency of the energy system, so function y2 can be used as the objective function.

[0058] Function y1, function y2, and function y3 can be specifically determined by the following formulas:

[0059]

[0060] Among them, P load Indicates the load power consumption of each device; P loss Indicates the power loss during transmission; P line Indicates the transmission power of the cable; P converter Indicates the actual converter power information corresponding to each converter; P input Indicates the input power of each converter.

[0061] Optionally, determining the converter index value based on the load-related information, actual converter power information and the objective function includes: determining the sum of the load-related information and the actual conversion power information as a first transition value; and determining the converter index value based on the load consumption power in the load-related information and the first transition value.

[0062] Here, taking function y2 as the objective function, the first transition value can be understood as the sum of the load association information and the actual conversion power information.

[0063] Specifically, a first transition value may be determined according to the sum of the load-related information and the actual conversion power information, and then the first transition value and the load consumption power in the load-related information are used as the converter index value.

[0064] S140: Determine energy efficiency information based on the target energy efficiency evaluation value.

[0065] The energy efficiency information may be understood as information reflecting the utilization rate of electric energy in the energy management system.

[0066] Specifically, the target energy efficiency evaluation value can be determined according to the following formula:

[0067]

[0068] Where E(t) represents the target energy efficiency evaluation value; μ represents the weight value; E represents the grid power generated by distributed power generation; E normal Indicates the amount of grid electricity generated by conventional power generation systems; P load Indicates the load power consumption of each device; P line Indicates the transmission power of the cable; P converter Indicates the actual converter power information corresponding to each converter.

[0069] According to the formula, the target energy efficiency evaluation value can be determined, and then based on the target energy efficiency evaluation value, the energy efficiency information of the energy management system can be determined.

[0070] The technical solution of this embodiment obtains first electricity consumption information for a preset evaluation period and determines an electricity consumption evaluation index value based on the first electricity consumption information. The obtained electricity consumption evaluation index value can be used as an economic benefit indicator for the renewable energy system. Based on the economic benefit index, the economic cost saved by the electricity provided by the renewable energy can be determined. The theoretical load-side power information of each converter within the preset evaluation period is determined. Based on the theoretical load-side power information, load-related information and actual converter power information are applied to the corresponding converters to determine the energy saving index of the electricity provided by the renewable energy system. This information can be used to evaluate the feasibility of power flow distribution in the power grid system and avoid additional energy loss. A target energy efficiency evaluation value is determined based on the electricity consumption evaluation index value, load-related information, and actual converter power information. Combining the economic benefit index and energy saving index, a comprehensive evaluation index is generated for evaluating the energy efficiency of the power grid system. Based on the target energy efficiency evaluation value, energy efficiency information is determined, and the AC and DC energy efficiency of the power grid system can be evaluated based on the energy efficiency information. This solves the problems of inaccurate energy efficiency evaluation and the lack of effective energy efficiency evaluation methods in power grid systems, achieving effective energy efficiency evaluation in power grid systems.

[0071] Example 2

[0072] In a specific example, taking the use of renewable energy for photovoltaic system power generation as an example, compared with the traditional AC distribution system design, the various devices in the photovoltaic system are matched with the power storage unit, which can introduce the current in the power grid system from the load information side of each device to the power grid side, compensating for the difference between the load utilization curve and the solar energy curve caused by natural conditions. Multi-power converters are used to achieve the coupling of multi-branch and multi-level system topologies. Specifically, when solar energy can be collected during the day, the photovoltaic system can absorb solar energy as much as possible, convert solar energy into electrical energy and store it in the power storage unit, and then when electrical energy needs to be output, the electrical energy in the storage unit is used first, rather than obtaining electrical energy from the power grid side. The advantage of this setting is that it can give full play to the utilization rate of renewable energy power generation. As for the electricity prices in various regions, they remain stable most of the time, so it can be used. As the electricity consumption evaluation index value, E represents the grid power generated by distributed power generation; E normal Indicates the amount of grid electricity generated by conventional power generation systems. The power consumption evaluation index value of the energy management system in the photovoltaic system can be determined, and can also be understood as the economic benefit index value of the energy management system in the photovoltaic system.

[0073] At the same time, considering that most power electronic equipment in traditional power grid systems is close to the load, load-related converters are connected to consumer devices one by one, which means that they can only be optimized for single-converter mode. Photovoltaic converters, on the other hand, operate in maximum power point tracking mode to obtain the maximum power generated by the connected solar panels. Grid-connected converters are connected in parallel to convert large power flows between two voltage levels, and an energy management system is used for power distribution. Specifically, a converter strategy model is pre-built:

[0074]

[0075] Among them, Min∑Loss i Indicates the minimum power loss value of the converter; η i represents the transmission energy efficiency of the converter; g(x i ) is equivalent to S, which represents the sum of the power of each converter; x i Indicates the load side power value of the converter; num indicates the number of converters; K indicates the rated power of the converter; Indicates the unit power value of the converter.

[0076] Then, the pre-built Lagrangian function is used to optimize the pre-built converter strategy model, where the Lagrangian function is:

[0077]

[0078] Among them, xi Indicates the load side power value of the converter; Loss(x i ) represents the power loss value of the converter; g(x i ) is equivalent to S, which represents the sum of the powers of the individual converters; λ represents a local variable; N represents the number of converters; Denotes the Lagrangian function (x i ,λ)=∑Loss(x i )+λg(x i ) i Find extreme values; Denotes the Lagrangian function (x i ,λ)=∑Loss(x i )+λg(x i ) to find the extreme value of λ; Ans.x i Indicates that the solution result is the load side power value of the converter.

[0079] In order to obtain the converter index value, which can also be understood as the energy-saving index of the energy management system in the photovoltaic system, different energy-saving index calculation methods are first set to determine the optimal energy-saving index calculation method as the objective function. Specifically, the energy-saving index value can be calculated using three different energy-saving index functions, namely:

[0080]

[0081] Among them, P load Indicates the load power consumption of each device; P loss Indicates the power loss during transmission; P loss Indicates the transmission power of the cable; P converter Indicates the actual converter power information corresponding to each converter; P input Indicates the input power of each converter.

[0082] like Figure 2 As shown in the figure, by comparison, it is found that due to the overflow of on-site power generation and storage units, the initial value of function y3 is less than 1. This is why the values of function y1 and function y2 are equal to 1 when the system has no losses, while only the value of function y3 is relatively low. When the system power loss of the energy system is high, the value of function y1 gradually becomes negative, indicating that when photovoltaic power generation overflows, the power loss is greater than the load power, while the value of function y2 approaches 0. From the perspective of energy efficiency, function y2 is more reasonable and common. Therefore, function y2 is determined as the objective function, and the energy saving index value of the energy system can be determined based on the objective function.

[0083] Furthermore, the target energy efficiency evaluation value is determined based on the power consumption evaluation index value, the load association information, and the actual converter power information. Specifically, different weight values can be set for the power consumption evaluation index value and the converter index value.

[0084]

[0085] Where E(t) represents the target energy efficiency evaluation value; μ represents the weight value; E represents the grid power generated by distributed power generation; E normal Indicates the amount of grid electricity generated by conventional power generation systems; P load Indicates the load power consumption of each device; P line Indicates the transmission power of the cable; P converter Indicates the actual converter power information corresponding to each converter.

[0086] Finally, the energy efficiency of the photovoltaic system can be evaluated based on the determined target energy efficiency evaluation value.

[0087] The technical solution of this embodiment obtains first electricity consumption information for a preset evaluation period and determines an electricity consumption evaluation index value based on the first electricity consumption information. The obtained electricity consumption evaluation index value can be used as an economic benefit indicator for the renewable energy system. Based on the economic benefit index, the economic cost saved by the electricity provided by the renewable energy can be determined. The theoretical load-side power information of each converter within the preset evaluation period is determined. Based on the theoretical load-side power information, load-related information and actual converter power information are applied to the corresponding converters to determine the energy saving index of the electricity provided by the renewable energy system. This information can be used to evaluate the feasibility of power flow distribution in the power grid system and avoid additional energy loss. A target energy efficiency evaluation value is determined based on the electricity consumption evaluation index value, load-related information, and actual converter power information. Combining the economic benefit index and energy saving index, a comprehensive evaluation index is generated for evaluating the energy efficiency of the power grid system. Based on the target energy efficiency evaluation value, energy efficiency information is determined, and the AC and DC energy efficiency of the power grid system can be evaluated based on the energy efficiency information. This solves the problems of inaccurate energy efficiency evaluation and the lack of effective energy efficiency evaluation methods in power grid systems, achieving effective energy efficiency evaluation in power grid systems.

[0088] Example 3

[0089] Figure 3 The third embodiment of the present invention provides an energy efficiency evaluation device, which includes: an electricity consumption evaluation index value determination module 310, an information determination module 320, a target energy efficiency evaluation value determination module 330 and an energy efficiency information determination module 340.

[0090] The power consumption evaluation index value determination module 310 is configured to obtain first power consumption information of power consumption within a preset evaluation period and determine a power consumption evaluation index value based on the first power consumption information; wherein the first power consumption information corresponds to stored power information in the power storage unit, and the stored power information is based on power information converted from solar energy;

[0091] An information determination module 320 is configured to determine theoretical load-side power information of each converter within the preset evaluation period, and to determine load-related information and actual converter power information based on the theoretical load-side power information acting on the corresponding converter;

[0092] a target energy efficiency evaluation value determination module 330 for determining a target energy efficiency evaluation value based on the power consumption evaluation index value, load association information, and actual converter power information;

[0093] The energy efficiency information determination module 340 is configured to determine energy efficiency information based on the target energy efficiency evaluation value.

[0094] The technical solution of this embodiment obtains first electricity consumption information for a preset evaluation period and determines an electricity consumption evaluation index value based on the first electricity consumption information. The obtained electricity consumption evaluation index value can be used as an economic benefit indicator for the renewable energy system. Based on the economic benefit index, the economic cost saved by the electricity provided by the renewable energy can be determined. The theoretical load-side power information of each converter within the preset evaluation period is determined. Based on the theoretical load-side power information, load-related information and actual converter power information are applied to the corresponding converters to determine the energy saving index of the electricity provided by the renewable energy system. This information can be used to evaluate the feasibility of power flow distribution in the power grid system and avoid additional energy loss. A target energy efficiency evaluation value is determined based on the electricity consumption evaluation index value, load-related information, and actual converter power information. Combining the economic benefit index and energy saving index, a comprehensive evaluation index is generated for evaluating the energy efficiency of the power grid system. Based on the target energy efficiency evaluation value, energy efficiency information is determined, and the AC and DC energy efficiency of the power grid system can be evaluated based on the energy efficiency information. This solves the problems of inaccurate energy efficiency evaluation and the lack of effective energy efficiency evaluation methods in power grid systems, achieving effective energy efficiency evaluation in power grid systems.

[0095] Based on any optional technical solution in the embodiments of the present invention, optionally, the electricity consumption evaluation index value determination module includes:

[0096] a first power usage information determination submodule, configured to obtain power information used within a preset evaluation period and determine first power usage information corresponding to the power information;

[0097] The electricity consumption evaluation index determination module is used to determine the electricity consumption evaluation index value according to the first electricity consumption information and the total electricity consumption information within the preset evaluation time period.

[0098] Based on any optional technical solution in the embodiments of the present invention, optionally, the information determination module includes:

[0099] a target converter strategy model determination submodule, configured to optimize the pre-built converter strategy model based on a pre-built Lagrangian function to obtain a target converter strategy model;

[0100] The theoretical load side power information determination submodule is used to determine the total power value based on the actual load side power value of each converter within a preset evaluation time, and determine the theoretical load side power information of each converter based on the total power value.

[0101] Based on any optional technical solution in the embodiment of the present invention, optionally, the Lagrangian function is:

[0102]

[0103] Among them, x i Indicates the load side power value of the converter; Loss(x i ) represents the power loss value of the converter; g(x i ) is equivalent to S, which represents the sum of the powers of the individual converters; λ represents a local variable; N represents the number of converters; Denotes the Lagrangian function (x i ,λ)=∑Loss(x i )+λg(x i ) i Find extreme values; Denotes the Lagrangian function (x i ,λ)=∑Loss(x i )+λg(x i ) to find the extreme value of λ; Ans.x i Indicates that the solution result is the load side power value of the converter.

[0104] The converter strategy model is:

[0105]

[0106] Among them, Min∑Loss i Indicates the minimum power loss value of the converter; η i represents the transmission energy efficiency of the converter; g(x i ) is equivalent to S, which represents the sum of the power of each converter; x iIndicates the load side power value of the converter; num indicates the number of converters; K indicates the rated power of the converter; Indicates the unit power value of the converter.

[0107] Based on any optional technical solution in the embodiments of the present invention, optionally, the information determination module includes:

[0108] The power information determination submodule is used for the load-related information including: load consumption power and cable transmission power, and applies the theoretical load side information to the corresponding converter to determine the load consumption power of each device, the cable transmission power and the actual converter power information of each converter.

[0109] Based on any optional technical solution in the embodiments of the present invention, optionally, the power information determination submodule includes:

[0110] a converter index value determining unit, configured to determine a converter index value according to the load association information, actual converter power information, and an objective function;

[0111] The target energy efficiency evaluation value determining unit is configured to determine a target energy efficiency evaluation value according to the power consumption evaluation index value, the converter index value, and the corresponding weight value.

[0112] Based on any optional technical solution in the embodiments of the present invention, optionally, the target energy efficiency evaluation value determination unit includes:

[0113] a first transition value determining subunit, configured to determine a sum of the load association information and the actual conversion power information as a first transition value;

[0114] The converter index value determining subunit is configured to determine the converter index value based on the load power consumption in the load association information and the first transition value.

[0115] The energy efficiency evaluation device provided in the embodiment of the present invention can execute the energy efficiency evaluation method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0116] It is worth noting that the various units and modules included in the above-mentioned device are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the embodiments of the present invention.

[0117] Example 4

[0118] Figure 4 This is a structural diagram of an electronic device provided in Example 4 of the present invention. Figure 4 A block diagram of an exemplary electronic device 40 suitable for implementing exemplary embodiments of the present invention is shown. Figure 4 The electronic device 40 shown is only an example and should not limit the functionality and scope of use of the embodiments of the present invention.

[0119] like Figure 4 As shown, electronic device 40 is a general-purpose computing device. Components of electronic device 40 may include, but are not limited to, one or more processors or processing units 401, system memory 402, and a bus 403 connecting various system components (including system memory 402 and processing unit 401).

[0120] Bus 403 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. Examples of these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0121] The electronic device 40 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the electronic device 40, including volatile and non-volatile media, removable and non-removable media.

[0122] System memory 402 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 404 and / or cache memory 405. Electronic device 40 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 406 may be used to read and write non-removable, non-volatile magnetic media ( Figure 4 Not shown, often called a "hard drive"). Although Figure 4 Not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk"), and an optical drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 403 via one or more data media interfaces. System memory 402 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of various embodiments of the present invention.

[0123] A program / utility 408 having a set (at least one) of program modules 407 may be stored, for example, in system memory 402. Such program modules 407 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may include an implementation of a network environment. Program modules 407 generally perform the functions and / or methods of the embodiments described herein.

[0124] The electronic device 40 may also communicate with one or more external devices 409 (e.g., keyboard, pointing device, display 410, etc.), and may also communicate with one or more devices that enable a user to interact with the electronic device 40, and / or any device that enables the electronic device 40 to communicate with one or more other computing devices (e.g., network card, modem, etc.). Such communication may be performed through an input / output (I / O) interface 411. Furthermore, the electronic device 40 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through a network adapter 412. As shown, the network adapter 412 communicates with other modules of the electronic device 40 via the bus 403. It should be understood that although Figure 4 Not shown, other hardware and / or software modules may be used in conjunction with the electronic device 40, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0125] The processing unit 401 executes various functional applications and data processing by running programs stored in the system memory 402 , such as implementing the energy efficiency evaluation method provided by the embodiment of the present invention.

[0126] Example 5

[0127] A fifth embodiment of the present invention further provides a storage medium containing computer-executable instructions. When the computer-executable instructions are executed by a computer processor, the method for performing energy efficiency evaluation includes:

[0128] Obtaining first electricity usage information of electricity consumption within a preset evaluation period, and determining an electricity consumption evaluation index value based on the first electricity usage information; wherein the first electricity usage information corresponds to stored electricity information in the electricity storage unit, and the stored electricity information is electricity information based on solar energy conversion;

[0129] Determining theoretical load-side power information of each converter within the preset evaluation time, and acting on the corresponding converter based on the theoretical load-side power information to determine load association information and actual converter power information;

[0130] Determining a target energy efficiency evaluation value based on the power consumption evaluation index value, load association information, and actual converter power information;

[0131] Energy efficiency information is determined based on the target energy efficiency evaluation value.

[0132] The computer storage medium of the embodiment of the present invention may adopt any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or component, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, 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), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device.

[0133] A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0134] Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0135] The computer program code for performing the operations of the embodiments of the present invention can be written in one or more programming languages or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0136] Note that the above are only preferred embodiments of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments, and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments and may include many other equivalent embodiments without departing from the concept of the present invention. The scope of the present invention is determined by the scope of the appended claims.

Claims

1. A method for energy efficiency evaluation, characterized in that: include: Obtaining first electricity usage information of electricity consumption within a preset evaluation period, and determining an electricity usage evaluation index value based on the first electricity usage information; wherein the first electricity usage information corresponds to stored electricity information in the electricity storage unit, and the stored electricity information is information about electricity converted from solar energy; the first electricity usage information is the output electricity of a power grid based on a distributed power source and a distributed energy storage system, or the output electricity of a microgrid based on a photovoltaic system; and the electricity usage evaluation index value is a value for evaluating the economic benefits of the renewable energy system; Determining theoretical load-side power information of each converter within the preset evaluation time period, and applying the theoretical load-side power information to the corresponding converter to determine load-related information and actual converter power information; wherein the theoretical load-side power information is the maximum output power information corresponding to the converter; Determining a target energy efficiency evaluation value based on the power consumption evaluation index value, load association information, and actual converter power information; Energy efficiency information is determined based on the target energy efficiency evaluation value.

2. The method according to claim 1, characterized in that The obtaining of first electricity usage information of electricity usage within a preset evaluation period, and determining an electricity usage evaluation index value based on the first electricity usage information, includes: Acquire electric energy information used within a preset evaluation period, and determine first electric energy usage information corresponding to the electric energy information; An electricity consumption evaluation index value is determined based on the first electricity consumption information and the total electricity consumption information within the preset evaluation time period.

3. The method according to claim 1, characterized in that The determining of the theoretical load-side power information of each converter within the preset evaluation time period includes: Optimizing a pre-built converter strategy model based on a pre-built Lagrangian function to obtain a target converter strategy model; Based on the actual load-side power value of each converter within a preset evaluation time, a total power value is determined, and according to the total power value, theoretical load-side power information of each converter is determined.

4. The method according to claim 3, characterized in that The Lagrangian function is: Among them, x i Indicates the load side power value of the converter; Loss(x i ) represents the power loss value of the converter; g(x i ) is equivalent to S, which represents the sum of the powers of the individual converters; λ represents a local variable; N represents the number of converters; Denotes the Lagrangian function (x i ,λ)=∑Loss(x i )+λg(x i ) i Find the extreme value; λ L represents the Lagrangian function (x i ,λ)=∑Loss(x i )+λg(x i ) to find the extreme value of λ; Ans.x i Indicates that the solution result is the load side power value of the converter; The converter strategy model is: Among them, Min∑Loss i Indicates the minimum power loss value of the converter; η i represents the transmission energy efficiency of the converter; g(x i ) is equivalent to S, which represents the sum of the power of each converter; x i Indicates the load side power value of the converter; num indicates the number of converters; K indicates the rated power of the converter; Indicates the unit power value of the converter.

5. The method according to claim 1, wherein The load-related information includes: load consumption power and transmission power transmitted by the cable. The process of acting on the corresponding converter based on the theoretical load-side power information to determine the load-related information and actual converter power information includes: The theoretical load-side power information is applied to the corresponding converter to determine the load consumption power of each device, the transmission power of the cable transmission, and the actual converter power information of each converter.

6. The method according to claim 1, characterized in that The determining of a target energy efficiency evaluation value according to the power consumption evaluation index value, load association information, and actual converter power information includes: Determining a converter index value according to the load association information, actual converter power information, and an objective function; A target energy efficiency evaluation value is determined according to the power consumption evaluation index value, the converter index value and the corresponding weight value.

7. The method according to claim 6, characterized in that The determining of the converter index value according to the load association information, the actual converter power information and the objective function includes: Determining a sum of the load-related information and the actual conversion power information as a first transition value; The converter index value is determined based on the load consumption power in the load-related information and the first transition value.

8. An energy efficiency evaluation device, characterized in that: include: An electricity consumption evaluation index value determination module is configured to obtain first electricity consumption information regarding electricity consumption within a preset evaluation period, and determine an electricity consumption evaluation index value based on the first electricity consumption information; wherein the first electricity consumption information corresponds to stored electricity information in an electricity storage unit, and the stored electricity information is information about electricity converted from solar energy; the first electricity consumption information is the power output of a grid based on a distributed power source and a distributed energy storage system, or the power output of a microgrid based on a photovoltaic system; and the electricity consumption evaluation index value is a value for evaluating the economic benefits of a renewable energy system; an information determination module, configured to determine theoretical load-side power information of each converter within the preset evaluation time period, and determine load-related information and actual converter power information based on the theoretical load-side power information acting on the corresponding converter; wherein the theoretical load-side power information is the maximum output power information corresponding to the converter; a target energy efficiency evaluation value determination module, configured to determine a target energy efficiency evaluation value based on the power consumption evaluation index value, load association information, and actual converter power information; The energy efficiency information determination module is configured to determine energy efficiency information based on the target energy efficiency evaluation value.

9. An electronic device, characterized in that: The electronic device comprises: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the energy efficiency evaluation method according to any one of claims 1 to 7.

10. A storage medium containing computer-executable instructions, characterized in that: When the computer executable instructions are executed by a computer processor, they are used to perform the energy efficiency evaluation method according to any one of claims 1 to 7.

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