Economic analysis method considering morphological evolution of power distribution network

Abstract

The invention discloses an economical efficiency analysis method considering distribution network morphological evolution, and relates to the technical field of distribution network optimization scheduling, and the method comprises the steps: S1, responding to the change of a distribution network organization structure, and obtaining an influence index of the operation energy efficiency of a distribution network; s2, constructing an operation energy efficiency evaluation system based on the influence indexes, and evaluating the energy efficiency level of the power distribution network; s3, establishing an economic operation model based on the influence indexes, and evaluating the influence of the morphological evolution of the power distribution network on the economy; and S4, establishing a comprehensive scoring system based on the energy efficiency level and the influence of the power distribution network form evolution on the economy, and completing the economy analysis of the power distribution network form evolution. The problem that it is difficult to consider both operation efficiency and cost in power distribution network form evolution analysis is solved, the comprehensiveness and accuracy of power distribution network form evolution analysis are remarkably improved, and the operation cost is effectively controlled while the operation efficiency is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network optimization dispatching, and in particular to an economic analysis method taking into account the evolution of distribution network morphology. Background Art

[0002] With the adjustment of energy structure and the rapid development of renewable energy, the form of distribution network is undergoing profound changes. Traditional distribution network is mainly based on centralized power generation, and electricity is transmitted from large-scale power plants to various power load points over long distances. However, with the widespread application of distributed photovoltaic, wind power and energy storage technologies, the distribution network has gradually shifted to a pattern where distributed power sources and centralized power sources coexist, and the flow of power has begun to change from a one-way transmission to a two-way interactive mode. This change makes the dynamic characteristics of power sources and loads more complex and diverse. In addition, the rapid growth of new loads such as electric vehicles and smart homes has further increased the volatility and unpredictability of power loads. In response to this evolution, the grid structure of the distribution network is also gradually developing from the traditional single radial shape to flexible interconnection and intelligence, aiming to improve the flexibility and adaptability of the distribution system.

[0003] However, the evolution of the distribution network has also caused many new problems and challenges. First, the large-scale access of distributed energy has led to a significant increase in load instability and increased power volatility, which has brought tremendous pressure to the dispatching and control of traditional distribution systems. During the period of large-scale power generation of distributed power sources, there may be an oversupply of power, while during the peak demand period, there is a problem of insufficient power supply, which seriously affects the stability and reliability of power supply. Secondly, the complexity of the grid structure increases the difficulty of system operation. With the introduction of flexible interconnection technology, the distribution network's ability to cope with external interference has been enhanced, but the operating cost of the system has also increased accordingly. Especially in the face of dynamic adjustment of multiple sources and multiple loads, how to maintain efficient operation while controlling costs has become a key issue in the current distribution network management. In the context of increasingly complex distribution network demand, traditional power supply efficiency evaluation methods and economic analysis tools are difficult to accurately reflect the dual impact of morphological evolution on the economy and operating efficiency of the distribution system, and cannot effectively control operating costs while ensuring operating efficiency.

[0004] Chinese patent, publication number: CN110490405B, publication date: February 3, 2023, discloses a transformer energy efficiency evaluation and analysis system, which is based on the network topology, load measurement data and investment cost data, and takes the maximization of the energy efficiency of the medium and low voltage distribution network under the constraints of power supply capacity and reliability as the objective function, and takes the medium voltage distribution line, distribution transformer and low voltage area as the boundary adjustment to perform transformer static energy efficiency evaluation, dynamic energy consumption evaluation and technical and economic evaluation, solving the problem of the difficulty of centralized energy efficiency evaluation and analysis for transformers. However, this scheme only analyzes the energy efficiency of the transformer based on the operation of the transformer, and does not consider the impact of the evolution of the distribution network form on the power supply and consumption efficiency of the distribution network and the economy of the distribution system from an overall perspective, and has poor adaptability.

[0005] Chinese patent, publication number: CN111881616B, publication date: June 11, 2024, discloses an operation optimization method for an integrated energy system based on multi-agent game, by establishing a multi-scenario cooperative game model; establishing a multi-objective operation optimization model; and establishing a multi-agent interest distribution model. However, the scheme is mainly based on interest constraints, and establishes an optimization model with environmental benefits and economic benefits as objective functions; secondly, after establishing the optimization model, a benefit distribution model based on comprehensive contribution is established to ensure that cooperative operators can reasonably obtain the benefits of optimized operation; although the model reduces economic costs and pollutant emissions while ensuring the interests of multiple subjects by establishing a cooperative alliance, the scheme does not consider the overall operating efficiency level of the distribution network and the interconnected relationship between the economy, and cannot achieve a comprehensive evaluation of the operating efficiency and operating costs of the distribution network. Summary of the invention

[0006] The purpose of the present invention is to address the problem that it is difficult to balance operating efficiency and cost in conventional distribution network morphology evolution analysis; an economic analysis method taking into account the evolution of distribution network morphology is proposed, which evaluates the operating energy efficiency level under the evolution of distribution network morphology by analyzing the dynamic changes of the distribution network on both sides of the source and load and the evolution of the grid structure, and constructs an operating energy efficiency evaluation system to achieve accurate quantification and quantitative analysis of key influencing indicators; an operating energy efficiency evaluation economic model is constructed based on the quantification results, and multi-dimensional economic indicators are integrated to achieve a comprehensive analysis of operating costs; the comprehensiveness and accuracy of the distribution network morphology evolution analysis are significantly improved, thereby ensuring operating efficiency while effectively controlling operating costs.

[0007] In order to solve the above technical problems, the technical solution adopted by the present invention is: an economic analysis method taking into account the evolution of distribution network morphology, comprising the following steps: Step S1, in response to changes in the organizational structure of the distribution network, obtaining an influencing index of the distribution network operation energy efficiency; Step S2: constructing an operation energy efficiency evaluation system based on the influencing indicators to evaluate the energy efficiency level of the distribution network; Step S3: establishing an economic operation model based on the influencing indicators to evaluate the impact of the evolution of the distribution network on economic efficiency; Step S4: Establish a comprehensive scoring system based on the energy efficiency level and the impact of the distribution network morphology evolution on the economy, and complete the economic analysis of the distribution network morphology evolution.

[0008] In this scheme, by analyzing the evolution of the distribution network through the changes in the distribution network organizational structure, it is possible to identify and quantify the factors affecting the power supply and consumption energy efficiency of these changes, and then provide comprehensive information support for the construction of a power supply and consumption energy efficiency evaluation system (here is an operation energy efficiency evaluation system); by conducting power supply and consumption energy efficiency evaluation and analysis on the distribution network, it is possible to more accurately evaluate the correlation between the distribution network operation efficiency and cost, judge the energy efficiency level of the distribution network, and achieve quantitative evaluation of the influencing factors, so as to obtain quantitative data to accurately reflect the efficiency of the distribution network in the process of energy conversion, transmission and distribution, which is helpful to formulate targeted operation adjustment and optimization strategies according to the energy efficiency situation, thereby improving the power supply and consumption. The economy of electricity; by constructing an economic operation model under the power supply and consumption energy efficiency evaluation system, it is possible to comprehensively consider the contribution of various influencing factors to the overall operation efficiency of the distribution network, so as to realize a comprehensive quantitative analysis of the operation cost; finally, the comprehensive quantitative analysis of the energy efficiency level and the operation cost is integrated to construct a comprehensive scoring system, and the operation level score of the distribution network taking into account the operation efficiency and the operation cost is calculated, so as to realize the economic analysis taking into account the evolution of the distribution network form, solve the problem that it is difficult to take into account both the operation efficiency and the cost in the analysis process of the evolution of the distribution network form, and significantly improve the comprehensiveness and accuracy of the analysis of the evolution of the distribution network form, thereby ensuring the operation efficiency while effectively controlling the operation cost.

[0009] Preferably, the step S1 includes the following sub-steps: According to the changes in the source-load structure and grid structure of the distribution network, the impact of the evolution of the distribution network morphology on the operating energy efficiency is analyzed to determine the influencing indicators of the operating energy efficiency; The influencing indicators include at least: a line loss rate indicator, a power quality indicator and a system response flexibility indicator.

[0010] In this scheme, by analyzing the dynamic changes on both sides of the source and load, we can reveal the economic driving effect of these changes on the evolution of the distribution network morphology; by analyzing the evolution of the grid structure, we can more comprehensively evaluate the energy efficiency levels under different grid structures, thereby formulating a more reasonable distribution network planning and construction plan.

[0011] Preferably, step S2 includes the following sub-steps: Based on the influencing indicators, an operation energy efficiency evaluation system is constructed, and the influence of each influencing indicator on the operation energy efficiency of the distribution network is analyzed by using the hierarchical analysis method; The weights of the corresponding indicators are allocated based on the impact degree, and the energy efficiency level of the distribution network is evaluated by using the operation energy efficiency level function of the distribution network.

[0012] In this scheme, the influence of various influencing indicators on the energy efficiency of distribution network operation is analyzed through the hierarchical analysis method, that is, the quantitative evaluation of various influencing factors in the distribution network is carried out to ensure that the impact of morphological evolution on the efficiency and economy of power supply and utilization can be accurately reflected, thereby providing a scientific basis for the optimal design and operation of the distribution network.

[0013] Preferably, the use of the analytic hierarchy process to analyze the degree of influence of each of the influencing indicators on the energy efficiency of the distribution network operation includes: In the formula, p1 represents the sensitivity index of line loss rate, which reflects the influence of line loss rate change on energy efficiency, X1 represents the line loss rate, k2 represents the attenuation coefficient of voltage deviation, which reflects the influence of voltage deviation on energy efficiency, X2 represents the current voltage, V N represents the voltage before voltage regulation, L represents the total load, p3 represents the impact index of response flexibility, X3 represents the controllable load, f1 represents the impact degree of line loss rate index, f2 represents the impact degree of power quality index, and f3 represents the impact degree of response flexibility index.

[0014] Preferably, the calculation formula of the operating energy efficiency level function is as follows: Where EL is the operating energy efficiency level function, Z1 is the normalization factor used to adjust the overall score, and w i is the weight of the i-th indicator; f i (x i ) is the influence degree of the ith indicator.

[0015] Preferably, step S3 includes the following sub-steps: Calculate the operating cost corresponding to each indicator based on the dynamic changes of the influencing indicators in the evolution of the distribution network; A comprehensive operating cost evaluation function is constructed based on the operating cost fusion to obtain an economic operating model.

[0016] Preferably, the calculation formula of the operating cost is as follows: In the formula, r i,j is the resistance of line ij, is the square of the current of line ij at time t, ΔP dis,t is the load shedding at time t, Vj,i is the voltage value after voltage regulation, V N is the voltage value before voltage regulation, P ch (t) is the energy storage charging power at time t, P dis (t) is the energy storage discharge power at time t, P sop Transmit power for smart soft switch (SOP), is the line loss coefficient, c cut is the switching load factor, c V is the voltage regulation coefficient, c E is the energy storage charge and discharge coefficient, c S is the transmission cost coefficient of the smart soft switch (SOP), C loss is the loss cost caused by line loss rate, C cut is the switching equipment cost, C V is the voltage regulation cost caused by voltage deviation, C E is the energy storage charging and discharging cost, C S Transmission cost for smart soft switch (SOP).

[0017] Preferably, the calculation formula of the comprehensive operating cost evaluation function is as follows: Where C is the operation cost evaluation function, Z2 is the operation cost normalization factor, and T is the distribution network morphology evolution time period.

[0018] In this scheme, by constructing an economic operation model, it is possible to comprehensively consider economic indicators of multiple dimensions (such as cost, efficiency, reliability, etc.) to achieve a comprehensive quantitative analysis of operating costs, thereby comprehensively evaluating the economic performance of the distribution network in the process of power supply and use, and avoiding problems such as one-sided consideration of a single indicator and neglect of other important factors leading to poor economic analysis results; with the goal of achieving operating efficiency while effectively controlling operating costs as the system goal, after evaluating the energy efficiency level of the distribution network, it is necessary to further analyze the economic performance of each influencing indicator in the distribution network on this basis, so as to reduce operating costs, improve energy utilization efficiency, and thus increase economic benefits.

[0019] Preferably, step S4 includes the following sub-steps: Assigning weights to the operating energy efficiency level function and the operating cost evaluation function, establishing a comprehensive scoring system to calculate the total score of the operating energy efficiency and operating cost in the evolution of the distribution network; The calculation formula of the total score is as follows: In the formula, F(x i) is the total score, C(x) is the comprehensive operating cost evaluation function, EL is the operating energy efficiency level function, x is the target variable of the total score, w a is the weight of the operating energy efficiency level function, w b A weight is given to the comprehensive operating cost evaluation function.

[0020] Preferably, the target variables include at least the current magnitude, load switching amount, voltage value, energy storage charging, discharge efficiency and SOP transmission power of different lines in the distribution network.

[0021] In this scheme, a comprehensive scoring system is established to achieve all-round monitoring and evaluation of power supply and power consumption efficiency, ensure the reasonable allocation of resources during the operation of the distribution network, and minimize operating costs. Through the comprehensive operation cost evaluation function and the weight of the operation energy efficiency level function, the line current size, load switching, voltage value, energy storage charging, discharge efficiency and SOP transmission power are dynamically dispatched to obtain different loss costs and power supply and power consumption energy efficiency level scores, so as to calculate the total score, ensure the reliability, objectivity and accuracy of the total score, and provide data support for the realization of a comprehensive and efficient economic analysis of the evolution of the distribution network.

[0022] Beneficial effects of the present invention: 1. By evaluating and analyzing the power supply and consumption energy efficiency of the distribution network, we can more accurately evaluate the relationship between the distribution network's operating efficiency and cost, determine the distribution network's energy efficiency level, and achieve quantitative evaluation of influencing factors, thereby obtaining quantitative data to accurately reflect the efficiency of the distribution network in the process of energy conversion, transmission and distribution; 2. By constructing an economic operation model under the power supply and consumption energy efficiency evaluation system, the contribution of various influencing factors to the overall operation efficiency of the distribution network can be fully considered to achieve a comprehensive quantitative analysis of the operation cost; 3. Integrate the comprehensive quantitative analysis of energy efficiency level and operating cost to construct a comprehensive scoring system, calculate the operating level score of the distribution network taking into account the operating efficiency and operating cost, realize all-round monitoring and evaluation of power supply and power consumption energy efficiency, ensure the reasonable allocation of resources in the operation of the distribution network, minimize operating costs, and realize more reliable, accurate and specific economic analysis taking into account the evolution of the distribution network morphology, which significantly improves the comprehensiveness and accuracy of the analysis of the evolution of the distribution network morphology, thereby ensuring operating efficiency while effectively controlling operating costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Other features, objects and advantages of the present invention will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings. The drawings are only for the purpose of illustrating preferred embodiments and are not to be considered as limiting the present invention. Also, the same reference symbols are used throughout the drawings to represent the same parts.

[0024] Figure 1 The present invention is a flowchart of an economic analysis method taking into account the evolution of distribution network morphology according to an embodiment of the present invention.

[0025] Figure 2 This is an overall flow chart of the distribution network morphology evolution analysis according to an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific implementation method described herein is only an optimal embodiment of the present invention, which is only used to explain the present invention and does not limit the scope of protection of the present invention. All other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0027] Example 1: Figure 1 and Figure 2 As shown, an economic analysis method taking into account the evolution of distribution network morphology, step S1, in response to the change of the distribution network organizational structure, obtaining the influencing index of the distribution network operation energy efficiency.

[0028] Specifically, step S1 includes the following sub-steps: According to the changes in the source-load structure and grid structure of the distribution network, the impact of the evolution of the distribution network morphology on the operating energy efficiency is analyzed to determine the influencing indicators of the operating energy efficiency; Among them, the influencing indicators include at least: line loss rate indicator, power quality indicator and system response flexibility indicator.

[0029] In this embodiment, by analyzing the dynamic changes on both sides of the source and the load, such as the access of distributed renewable energy and the increase of DC loads such as electric vehicles, the economic driving effect of these changes on the evolution of the distribution network can be obtained. For example, the access of distributed renewable energy can reduce the transmission loss of the distribution network and improve the energy utilization efficiency, thereby bringing economic benefits. By analyzing the evolution of the grid structure, the energy efficiency level under different grid structures can be more comprehensively evaluated, so as to formulate a more reasonable distribution network planning and construction plan.

[0030] It is understandable that understanding the evolution of the grid structure will help to formulate more reasonable distribution network planning and construction plans. With the access of new energy and the growth of load, the distribution network needs to be more flexible, strong and intelligent; by evaluating the energy efficiency level under different grid structures, the optimal grid structure solution can be selected to improve the economic efficiency of the distribution network.

[0031] Step S2: construct an operation energy efficiency evaluation system based on the influencing indicators to evaluate the energy efficiency level of the distribution network.

[0032] Specifically, step S2 includes the following sub-steps: Based on the influencing indicators, an operation energy efficiency evaluation system is constructed, and the analytic hierarchy process is used to analyze the influence of each influencing indicator on the operation energy efficiency of the distribution network; The weights of corresponding indicators are allocated based on the degree of influence, and the energy efficiency level of the distribution network is evaluated using the distribution network operation energy efficiency level function.

[0033] In this embodiment, the analytic hierarchy process is used to evaluate the energy efficiency of the distribution network. First, an index system that affects the energy efficiency of power supply and consumption is constructed, including but not limited to multiple dimensions such as line loss rate, voltage deviation, and system response flexibility; on this basis, the relative weights of different indicators are gradually established through historical data evaluation, and the analytic hierarchy process is used to calculate to determine the degree of influence of each indicator on the overall energy efficiency level of the distribution network.

[0034] Specifically, the hierarchical analysis method is used to analyze the impact of various influencing indicators on the energy efficiency of distribution network operation, including: In the formula, p1 represents the sensitivity index of line loss rate, which reflects the influence of line loss rate change on energy efficiency, X1 represents the line loss rate, k2 represents the attenuation coefficient of voltage deviation, which reflects the influence of voltage deviation on energy efficiency, X2 represents the current voltage, V N represents the voltage before voltage regulation, L represents the total load, p3 represents the impact index of response flexibility, X3 represents the controllable load, f1 represents the impact degree of line loss rate index, f2 represents the impact degree of power quality index, and f3 represents the impact degree of response flexibility index.

[0035] Furthermore, the calculation formula of line loss rate X1 and controllable load X3 is as follows: In the formula, r i,j is the resistance of line ij, is the square of the current of line ij at time t, P ij,t is the transmission power of line ij at time t, P dis (t) is the energy storage discharge power at time t, P ch (t) is the energy storage charging power at time t.

[0036] Specifically, the calculation formula of the operating energy efficiency level function is as follows: Where EL is the operating energy efficiency level function, Z1 is the normalization factor used to adjust the overall score, and w i is the weight of the i-th indicator; f i (x i ) is the influence degree of the ith indicator.

[0037] Specifically, w i The values ​​of are as follows: Among them, w1 is the line loss rate weight, w2 is the voltage deviation weight, and w3 is the response flexibility weight.

[0038] Step S3: Establish an economic operation model based on the impact indicators to evaluate the impact of the evolution of the distribution network on the economy.

[0039] Specifically, step S3 includes the following sub-steps: Calculate the operating cost corresponding to each indicator based on the dynamic changes of the indicators affecting the evolution of the distribution network; A comprehensive operating cost evaluation function is constructed based on the fusion of operating costs to obtain an economic operation model.

[0040] Specifically, the calculation formula for the operating cost is as follows: In the formula, r i,j is the resistance of line ij, is the square of the current of line ij at time t, ΔP dis,t is the load shedding at time t, V j,i is the voltage value after voltage regulation, V N is the voltage value before voltage regulation, P ch (t) is the energy storage charging power at time t, P dis (t) is the energy storage discharge power at time t, P sop Transmit power for smart soft switch (SOP), is the line loss coefficient, c cut is the switching load factor, c V is the voltage regulation coefficient, c E is the energy storage charge and discharge coefficient, c S is the transmission cost coefficient of the smart soft switch (SOP), C loss is the loss cost caused by line loss rate, C cut is the switching equipment cost, C V is the voltage regulation cost caused by voltage deviation, C Eis the energy storage charging and discharging cost, C S Transmission cost for smart soft switch (SOP).

[0041] Specifically, the calculation formula of the comprehensive operating cost evaluation function is as follows: Where C is the operation cost evaluation function, Z2 is the operation cost normalization factor, and T is the distribution network morphology evolution time period.

[0042] Step S4: Establish a comprehensive scoring system based on the impact of energy efficiency level and distribution network morphology evolution on economy, and complete the economic analysis of distribution network morphology evolution.

[0043] In this embodiment, through the integrated analysis of key influencing factors, the model can reveal the interactions and influences between different factors, thereby guiding the optimal configuration of distribution network resources. For example, by optimizing the use of switching equipment and the charging and discharging strategies of the energy storage system, the line loss rate can be reduced, the voltage quality can be improved, and the overall economy can be improved; by adjusting the voltage deviation, the user's electricity experience can be improved, and the losses caused by power supply quality problems can be reduced. By simulating the economic performance under different scenarios, a basis is provided for power grid planning and investment decisions.

[0044] Specifically, step S4 includes the following sub-steps: Assign weights to the operating energy efficiency level function and the operating cost evaluation function, and establish a comprehensive scoring system to calculate the total score of operating energy efficiency and operating cost in the evolution of distribution network morphology; The calculation formula of the total score is as follows: In the formula, F(x i ) is the total score, C(x) is the comprehensive operating cost evaluation function, EL is the operating energy efficiency level function, x is the target variable of the total score, w a is the weight of the operating energy efficiency level function, w b The weight of the function for comprehensive operating cost evaluation.

[0045] Specifically, the target variables include at least the current size, load switching amount, voltage value, energy storage charging, discharge efficiency and SOP transmission power of different lines in the distribution network.

[0046] Furthermore, the target variable is expressed as follows: x i =[I ij,t ,ΔP dis,t ,V j,t ,P ch (t),P dis (t),P SOP ].

[0047] Furthermore, based on the evaluation of various influencing factors combined with the operating cost evaluation function, the line current, load switching, voltage value, energy storage charging and discharging efficiency and SOP transmission power can be adjusted to change the operating efficiency of the distribution network and achieve economical operation.

[0048] In this embodiment, a comprehensive scoring system is established to realize all-round monitoring and evaluation of power supply and power consumption efficiency, ensure the reasonable allocation of resources in the distribution network during operation, and minimize operating costs. Through the comprehensive operation cost evaluation function and the weight of the operation energy efficiency level function, the line current size, load switching, voltage value, energy storage charging, discharge efficiency and SOP transmission power are dynamically dispatched to obtain different loss costs and power supply and power efficiency level scores, so as to calculate the total score, ensure the reliability, objectivity and accuracy of the total score, and provide data support for the realization of comprehensive and efficient economic analysis of the evolution of the distribution network form. In addition, the scoring system can also provide forward-looking guidance for the future evolution of the distribution network form, ensuring that the system maintains efficient, stable and economic operation when dealing with the changing power supply and load structure.

[0049] As a specific implementation method, take the IEEE33 node distribution system as an example. The distribution system includes several loads and distributed energy systems, energy storage devices, controllable loads and SOP transmission devices. Take 30 users with high voltage similarity within the range and the lines, loads, energy storage, and SOP transmission devices connected to them as examples. The initial voltage is 217V, and its line current I needs to be lower than 40A. The voltage needs to be within the range of 204V-235V, the energy storage charging and discharging power is within 100kw, and the maximum transmission capacity of SOP is 50kw. The parameters required in the model are taken as an example in the following table. A set of qualified random solutions is adopted, including line current, voltage after voltage regulation, energy storage charging and discharging power, SOP transmission power, and the adjustment time scale is set to 1 hour. The key parameters of each influencing indicator and the comprehensive scoring system are shown in Table 1. Table 1 Parameters of the comprehensive scoring system parameter Parameter name Numeric unit <![CDATA[P1]]> Line loss sensitivity index 2 <![CDATA[K2]]> Voltage deviation attenuation index 0.02 <![CDATA[P3]]> Response Flexibility Impact Index 1.2 <![CDATA[c1 loss ]]> Line loss cost coefficient 0.05 Yuan / kwh <![CDATA[c cut ]]> Load shedding cost coefficient 0.01 Yuan / kwh <![CDATA[c V ]]> Voltage regulation cost coefficient 0.005 Yuan / kwh <![CDATA[c E ]]> Energy storage charging and discharging cost coefficient 0.02 Yuan / kwh cs Sop transmission loss coefficient 0.01 Yuan / kwh <![CDATA[w1]]> Line loss index weight 0.4 <![CDATA[w2]]> Voltage deviation index weight 0.4 <![CDATA[w3]]> Response flexibility index weight 0.2 <![CDATA[w4]]> Energy efficiency level weight 0.3 <![CDATA[w5]]> Operating cost weight 0.7 α Crossover ratio 0.5 <![CDATA[Z1]]> Energy efficiency level normalization factor 1 <![CDATA[Z2]]> Operating cost normalization factor 60 r Line resistance 1 Ω According to the comprehensive scoring system analysis, within one hour, the line current I is 25.00A, the total resistance is 1Ω, the reference line transmission power benchmark value is 10kw, the line loss rate is 6.25%, the total load is 12kw, and the voltage after voltage regulation is V j,t 223.43V, average switching (controllable) load ΔP dis,t The average energy storage charging power P is 0.165kw, and the power supply efficiency level EL is 0.745. ch(t) is 30.19kW, and the energy storage discharge power P dis(t)The average transmission power P obtained by the intelligent soft switch (SOP) from the adjacent area is 51.34kW. sop The power consumption is 19.85kW, the total cost C is 9.15, and the comprehensive score is 0.292, which realizes the economic analysis taking into account the evolution of the distribution network.

[0050] Beneficial effects of the implementation example: by analyzing the evolution of the distribution network through changes in the distribution network's organizational structure, it is possible to identify and quantify the factors affecting the power supply and energy efficiency of these changes, thereby providing comprehensive information support for the construction of a power supply and energy efficiency evaluation system (here, an operating energy efficiency evaluation system); by conducting power supply and energy efficiency evaluation and analysis on the distribution network, it is possible to more accurately evaluate the correlation between the operating efficiency and cost of the distribution network, determine the energy efficiency level of the distribution network, and achieve a quantitative evaluation of the influencing factors, thereby obtaining quantitative data to accurately reflect the efficiency of the distribution network in the process of energy conversion, transmission and distribution, which is helpful to formulate targeted operation adjustments and optimizations according to the energy efficiency situation. strategy, thereby improving the economy of power supply and consumption; by constructing an economic operation model, the contribution of various influencing factors to the overall operation efficiency of the distribution network is comprehensively considered to achieve a comprehensive quantitative analysis of the operation cost; finally, the comprehensive quantitative analysis of the energy efficiency level and the operation cost is integrated to construct a comprehensive scoring system, and the operation level score of the distribution network taking into account the operation efficiency and operation cost is calculated, so as to achieve an economic analysis taking into account the evolution of the distribution network morphology, solve the problem that it is difficult to take into account both the operation efficiency and the cost in the analysis process of the evolution of the distribution network morphology, and significantly improve the comprehensiveness and accuracy of the analysis of the evolution of the distribution network morphology, thereby ensuring the operation efficiency while effectively controlling the operation cost.

[0051] The above specific embodiments are preferred embodiments of the present invention, and are not intended to limit the specific implementation scope of the present invention. The scope of the present invention includes but is not limited to the present specific embodiments. All equivalent changes made in accordance with the shape, structure, and method of the present invention are within the protection scope of the present invention.

Claims

1. An economic analysis method taking into account the evolution of distribution network morphology, characterized by: The steps include: Step S1, in response to changes in the organizational structure of the distribution network, obtaining an influencing index of the distribution network operation energy efficiency; Step S2: constructing an operation energy efficiency evaluation system based on the influencing indicators to evaluate the energy efficiency level of the distribution network; Step S3: establishing an economic operation model based on the influencing indicators to evaluate the impact of the evolution of the distribution network on economic efficiency; Step S4: Establish a comprehensive scoring system based on the energy efficiency level and the impact of the distribution network morphology evolution on the economy, and complete the economic analysis of the distribution network morphology evolution.

2. The economic analysis method taking into account the evolution of distribution network morphology according to claim 1 is characterized by: The step S1 includes the following sub-steps: According to the changes in the source-load structure and grid structure of the distribution network, the impact of the evolution of the distribution network morphology on the operating energy efficiency is analyzed to determine the influencing indicators of the operating energy efficiency; The influencing indicators include at least: a line loss rate indicator, a power quality indicator and a system response flexibility indicator.

3. The economic analysis method taking into account the evolution of distribution network morphology according to claim 1 is characterized by: The step S2 includes the following sub-steps: Based on the influencing indicators, an operation energy efficiency evaluation system is constructed, and the influence of each influencing indicator on the operation energy efficiency of the distribution network is analyzed by using the hierarchical analysis method; The weights of the corresponding indicators are allocated based on the impact degree, and the energy efficiency level of the distribution network is evaluated by using the operation energy efficiency level function of the distribution network.

4. The economic analysis method taking into account the evolution of distribution network morphology according to claim 3 is characterized by: The use of the analytic hierarchy process to analyze the degree of influence of each of the influencing indicators on the energy efficiency of the distribution network operation includes: In the formula, p1 represents the sensitivity index of line loss rate, which reflects the influence of line loss rate change on energy efficiency, X1 represents the line loss rate, k2 represents the attenuation coefficient of voltage deviation, which reflects the influence of voltage deviation on energy efficiency, X2 represents the current voltage, V N represents the voltage before voltage regulation, L represents the total load, p3 represents the impact index of response flexibility, X3 represents the controllable load, f1 represents the impact degree of line loss rate index, f2 represents the impact degree of power quality index, and f3 represents the impact degree of response flexibility index.

5. The economic analysis method taking into account the evolution of distribution network morphology according to claim 3 is characterized by: The calculation formula of the operating energy efficiency level function is as follows: Where EL is the operating energy efficiency level function, Z1 is the normalization factor used to adjust the overall score, and w i is the weight of the ith indicator; f i (x i ) is the influence degree of the i-th indicator.

6. The economic analysis method taking into account the evolution of distribution network morphology according to claim 1 is characterized by: The step S3 includes the following sub-steps: Calculate the operating cost corresponding to each indicator based on the dynamic changes of the influencing indicators in the evolution of the distribution network; A comprehensive operating cost evaluation function is constructed based on the operating cost fusion to obtain an economic operating model.

7. The economic analysis method taking into account the evolution of distribution network morphology according to claim 6 is characterized by: The calculation formula of the operating cost is as follows: In the formula, r i,j is the resistance of line ij, is the square of the current of line ij at time t, ΔP dis,t is the load shedding at time t, V j,i is the voltage value after voltage regulation, V N is the voltage value before voltage regulation, P ch (t) is the energy storage charging power at time t, P dis (t) is the energy storage discharge power at time t, P sop Transmit power for smart soft switch (SOP), is the line loss coefficient, c cut is the switching load factor, c V is the voltage regulation coefficient, c E is the energy storage charge and discharge coefficient, c S is the transmission cost coefficient of the smart soft switch (SOP), C loss is the loss cost caused by line loss rate, C cut is the switching equipment cost, C V is the voltage regulation cost caused by voltage deviation, C E is the energy storage charging and discharging cost, C S Transmission cost for smart soft switch (SOP).

8. The economic analysis method taking into account the evolution of distribution network morphology according to claim 7 is characterized by: The calculation formula of the comprehensive operating cost evaluation function is as follows: Where C is the operation cost evaluation function, Z2 is the operation cost normalization factor, and T is the distribution network morphology evolution time period.

9. An economic analysis method taking into account the evolution of distribution network morphology according to claim 5 or 8, characterized in that: The step S4 includes the following sub-steps: Assign weights to the operating energy efficiency level function and the operating cost evaluation function, and establish a comprehensive scoring system to calculate the total score of operating energy efficiency and operating cost in the evolution of distribution network morphology; The calculation formula of the total score is as follows: In the formula, F(x i ) is the total score, C(x) is the comprehensive operating cost evaluation function, EL is the operating energy efficiency level function, x is the target variable of the total score, w a is the weight of the operating energy efficiency level function, w b A weight is assigned to the comprehensive operating cost evaluation function.

10. The economic analysis method taking into account the evolution of distribution network morphology according to claim 9, characterized in that: The target variables include at least the current size, load switching, voltage value, energy storage charging, discharge efficiency and SOP transmission power of different lines in the distribution network.

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