Railway optical storage contract energy management system and income distribution method

Abstract

The invention provides a railway optical storage contract energy management system and an income distribution method. The system comprises a railway energy-saving control and energy management income distribution subsystem; a railway energy router of the railway energy-saving control subsystem is arranged between an alpha phase and a beta phase of a traction substation, and a new energy power generation system is connected with a converter of the railway energy router and provides energy for train traction operation; the energy storage system is used for storing surplus electric energy in the train operation process and providing electric energy for train traction when the traction load has an energy storage supply demand; the energy management income distribution subsystem comprises a metering module and an income balance operation module; the metering module is used for measuring the traction load of a traction substation, and the income balance operation module adopts the established game model to decide an income distribution scheme based on a metering result; by adopting the system, the problems of incomplete consideration factors and insufficient distribution balance in the prior art can be solved, and balanced and comprehensive income distribution is realized based on the income distribution game model.

Description

Technical Field

[0001] The present invention relates to the technical field of electrified railway optimization, and in particular to a railway photovoltaic energy storage contract energy management system and a revenue distribution method. Background Art

[0002] By connecting to new energy sources to recycle regenerative braking energy and reduce traction energy consumption, it can provide reliable support for the optimized operation of electrified railways. Contract energy management is a common energy-saving project investment model for energy-saving transformation projects. The services provided by energy-saving units can help energy-consuming units reduce energy waste, and their own income will also be guaranteed through contracts, achieving a win-win situation in terms of improving the energy-saving rate of energy-consuming projects and obtaining economic benefits for energy-saving units. It is a feasible energy-saving project for electrified railway projects, but most current studies only consider the overall economic benefit factors of electrified railway new energy systems. However, in actual energy-saving project projects, considering their investment attributes, there may be different stakeholders. The distribution of benefits of investment projects is a multi-party game problem. The current contract energy management cannot take into account the game equilibrium of multiple stakeholders in investment projects. It is inevitable that there are problems such as inaccurate metering systems and difficult to coordinate the distribution of benefits.

[0003] The information disclosed in the background technology section of the present invention is only intended to deepen the understanding of the general background technology of the present invention, and should not be regarded as acknowledging or suggesting in any form that the information constitutes the prior art known to those skilled in the art. Summary of the invention

[0004] In order to solve the above problems, the present invention provides a railway photovoltaic energy storage contract energy management system, which can overcome the problems of incomplete consideration of factors and insufficient distribution balance in the prior art, and realize balanced and comprehensive profit distribution based on the profit distribution game model; the system uses a railway energy router arranged between the α phase and the β phase of the railway traction substation to balance the power supply arm of the traction substation or transfer the new energy output to the power supply arm, and the new energy power generation system is connected to the converter of the railway energy router to provide energy for the train traction operation; the energy storage system is used to store surplus electric energy during the operation of the train, and provide electric energy for the train traction when there is a demand for energy storage supply in the traction load; the energy management profit distribution subsystem includes a metering module and a profit balance operation module; the metering module is used to measure the traction load of the traction substation, and the profit balance operation module adopts the established game model to decide the profit distribution plan based on the metering result; preferably, in one embodiment, the system includes: a railway energy-saving control subsystem and an energy management profit distribution subsystem;

[0005] The railway energy-saving control subsystem includes a railway energy router, an energy storage system and a new energy power generation system;

[0006] The railway energy router is arranged between the α phase and the β phase of the railway traction substation, and includes a converter, a transformer group and a reactor group, and is used to balance the power supply arm of the traction substation or transfer the output of new energy to the power supply arm;

[0007] The new energy power generation system is connected to the DC side of the converter via a converter to provide energy for train traction operations;

[0008] The energy storage system is connected to the converter of the railway energy router through a converter, and is used to store surplus electric energy during train operation and provide electric energy for train traction when there is a demand for energy storage supply for the traction load;

[0009] The energy management revenue distribution subsystem includes a metering module and a revenue balance calculation module;

[0010] The metering module includes a first metering unit arranged at the three-phase high-voltage side of the traction substation, a second metering unit arranged at the α phase of the traction substation, and a third metering unit arranged at the β phase of the traction substation, which are used to respectively measure the traction load at the high-voltage side of the traction substation after the new energy is connected, the α phase traction charge, and the β phase traction load;

[0011] The revenue balance calculation module is communicatively connected with the metering module, and is used to decide the target revenue distribution plan based on the metering result by adopting the established railway new energy contract energy management revenue distribution game model.

[0012] In an optional embodiment, the converter of the railway energy router adopts a three-port converter;

[0013] The transformer group of the railway energy router includes a first transformer connected between the left AC end of the converter and the α power supply arm of the traction substation and a second transformer connected between the right AC end of the converter and the β power supply arm of the traction substation;

[0014] The reactor group includes a first reactor connected between the left AC end of the converter and the α power supply arm of the traction substation and a second reactor connected between the right AC end of the converter and the β power supply arm of the traction substation.

[0015] Furthermore, in one embodiment, the energy storage system is connected to the DC side of the three-port converter via a direct-hook or bidirectional DC-DC converter; the surplus electric energy stored during the train operation process includes the electric energy fed back during regenerative braking and the surplus electric energy generated by the new energy power generation system.

[0016] Optionally, in one embodiment, the energy storage system adopts at least one of the following energy storage methods: lithium battery, super capacitor, flywheel.

[0017] In a preferred embodiment, the revenue balance calculation module is configured to calculate the maximum demand, electricity consumption and power factor with or without new energy access based on the measured traction charge, and calculate the monthly and annual electricity cost savings of the traction substation under new energy access.

[0018] Specifically, in an optional embodiment, the monthly and annual electricity cost savings of the traction substation under the access of new energy are calculated according to the following formula:

[0019] R T =B ele (E-E1)+12B cap (P avg.15min -P avg1.15min )

[0020] Where: B ele is the unit price of electricity; E is the annual power consumption before the access of new energy, E1 is the annual power consumption after the access of new energy, B cap is the basic electricity unit price; P avg.15min is the maximum demand before the new energy is connected, P avg1.15min It is the maximum demand after the access of new energy.

[0021] Furthermore, in one embodiment, the revenue balance calculation module is further configured to determine the target revenue distribution plan according to the following operations:

[0022] Establish a game model for the distribution of revenues of railway new energy contract energy management;

[0023] The initial investment cost of the energy-saving service company is adjusted with the goal of maximizing the net profit of the energy-consuming unit and the net profit and internal rate of return of the energy-saving service company, and the corresponding contract time and profit distribution ratio are determined.

[0024] In a preferred embodiment, in the railway new energy contract energy management income distribution game model, the net income Q of the energy-saving service company is represented by the following formula: E , the net income of the energy-consuming unit Q C And the internal rate of return IRR:

[0025]

[0026] Where: t represents the year, T c is the validity period of the contract, a is the profit distribution ratio of the energy-consuming unit, R T is the annual electricity savings, L is the initial investment cost of the energy-saving service company; C T is the annual operation and maintenance cost, k is the operation and maintenance growth coefficient, and n is the project cycle.

[0027] In an optional embodiment, the revenue balance calculation module performs model calculation according to the following steps:

[0028] Step a1: based on the set number of iterations and initial game operation parameters; the initial game operation parameters include the initial contract time and the initial profit distribution ratio;

[0029] Step a2: using an optimization algorithm to iteratively optimize the installed capacity of new energy, the capacity of railway energy routers and the energy storage capacity in the railway energy-saving control subsystem, and solving and calculating the corresponding net income, internal rate of return and initial investment cost of the energy-saving service company;

[0030] Step a3: Update the net income per energy user based on the initial investment cost;

[0031] Step a4: Adopting an optimization algorithm to maximize the net income of energy users, iteratively optimizing the calculation contract time and income distribution ratio;

[0032] The operations from step a2 to step a4 are executed repeatedly until the game equilibrium state is met, or the calculation is stopped when the set number of iterations is reached, and the final contract time and profit distribution ratio are output.

[0033] Based on the application aspects of the method described in any one or more of the above embodiments, the present invention also provides a revenue distribution method for a railway photovoltaic energy storage contract management system, which is applied to the system described in any one or more of the above embodiments; the method includes:

[0034] The railway energy router disposed between the α phase and the β phase of the railway traction substation is used to balance the power supply arm of the traction substation or transfer the output of new energy to the power supply arm;

[0035] The new energy power generation system provides energy for train traction operations;

[0036] The energy storage system stores the surplus electric energy during train operation and provides electric energy for train traction when there is a demand for energy storage supply in the traction load;

[0037] The metering module of the energy management revenue distribution subsystem is used to measure the traction load, α-phase traction charge and β-phase traction load on the high-voltage side of the traction substation after the access of new energy;

[0038] The revenue balance calculation module of the energy management revenue distribution subsystem is used to decide the target revenue distribution plan based on the measurement results and the established railway new energy contract energy management revenue distribution game model.

[0039] Compared with the closest prior art, the present invention also has the following beneficial effects:

[0040] The present invention provides a railway photovoltaic energy storage contract energy management system and a profit distribution method, the system comprising: a railway energy-saving control subsystem and an energy management profit distribution subsystem; a railway energy router of the railway energy-saving control subsystem is arranged between the α phase and the β phase of the traction substation, and a new energy power generation system is connected to the DC side of the converter through a converter to provide energy for train traction operation; an energy storage system is connected to the converter of the railway energy router through a converter to store surplus electric energy during train operation and provide electric energy for train traction when there is a demand for energy storage supply in the traction load; energy-saving operation control is achieved by setting up a new energy power generation system and an energy storage system, and at the same time, it can avoid interruption of train operation due to abnormality of the substation, save railway energy consumption, and improve the stability and reliability of railway transportation;

[0041] The energy management benefit distribution subsystem includes a metering module and a benefit balance calculation module; the metering module is used to measure the traction load of the traction substation, and the benefit balance calculation module uses the set railway new energy contract energy management benefit distribution game model to decide the target benefit distribution plan based on the metering result; based on the benefit distribution game model, a balanced and comprehensive benefit distribution is achieved, and the benefit needs of multiple stakeholders of energy-consuming units and energy-saving service companies are fully considered, so as to reliably achieve a win-win situation in terms of improving the energy-saving rate of energy-consuming projects and the economic benefits of energy-saving units.

[0042] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0044] Figure 1 It is a structural diagram of a railway photovoltaic energy storage contract management system provided by an embodiment of the present invention;

[0045] Figure 2 It is a schematic diagram of the equilibrium operation principle of the revenue distribution game model in the railway photovoltaic energy storage contract management system provided by the embodiment of the present invention;

[0046] Figure 3 It is a schematic diagram of a flow chart of optimizing and solving capacity by using NSGA-Ⅱ algorithm in a railway photovoltaic energy storage contract energy management system provided by an embodiment of the present invention;

[0047] Figure 4It is a flow chart of optimizing the calculation of contract time and profit distribution ratio by using improved particle swarm algorithm in the railway photovoltaic energy storage contract energy management system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0048] The following will describe the implementation methods of the present invention in detail in conjunction with the accompanying drawings and embodiments, so that the implementers of the present invention can fully understand how the present invention applies technical means to solve technical problems and achieve the implementation process of technical effects and implement the present invention specifically according to the above implementation process. It should be noted that as long as there is no conflict, the various embodiments and various features of the embodiments in the present invention can be combined with each other, and the technical solutions formed are all within the protection scope of the present invention.

[0049] Although the flowcharts describe the operations as sequential processes, many of the operations may be performed in parallel, concurrently, or simultaneously. The order of the operations may be rearranged. A process may be terminated when its operations are completed, but may also have additional steps not included in the accompanying drawings. A process may correspond to a method, function, procedure, subroutine, subprogram, etc.

[0050] Computer devices include user devices and network devices. Among them, user devices or clients include but are not limited to computers, smart phones, PDAs (Personal Digital Assistants), etc.; network devices include but are not limited to a single network server, a server group consisting of multiple network servers, or a cloud based on cloud computing consisting of a large number of computers or network servers. Computer devices can be run alone to implement the present invention, or they can be connected to the network and implement the present invention through interactive operations with other computer devices in the network. The network where the computer device is located includes but is not limited to the Internet, wide area network, metropolitan area network, local area network, VPN network, etc.

[0051] The terms "first", "second", etc. may be used herein to describe various units, but these units should not be limited by these terms, and these terms are used only to distinguish one unit from another unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items. When a unit is referred to as being "connected" or "coupled" to another unit, it can be directly connected or coupled to the other unit, or there can be intermediate units.

[0052] The terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments. Unless the context clearly indicates otherwise, the singular forms "one", "one" and "item" used herein are also intended to include plural numbers. It should also be understood that the terms "include" and / or "comprise" used herein specify the existence of stated features, integers, steps, operations, units and / or components, without excluding the existence or addition of one or more other features, integers, steps, operations, units, components and / or combinations thereof.

[0053] The rapid development of electrified railways has brought about increasingly serious carbon emissions and energy consumption problems. By accessing new energy sources to recycle regenerative braking energy and reduce traction energy consumption, it can provide reliable support for the optimized operation of electrified railways.

[0054] Contract energy management is a commonly used energy-saving project investment model for energy-saving renovation projects. The services provided by energy-saving units can help energy-consuming units reduce energy waste, and their own profits will also be guaranteed through contracts, achieving a win-win situation in terms of improving the energy-saving rate of energy-consuming projects and obtaining economic benefits for energy-saving units. It is a feasible energy-saving project for electrified railway projects, but most current studies only consider the overall economic benefit factors of electrified railway new energy systems. However, in actual energy-saving project projects, there may be different stakeholders considering their investment attributes, and the distribution of investment project benefits is a multi-party game issue. The current contract energy management cannot take into account the game equilibrium of multiple stakeholders in investment projects, and inevitably there are problems such as inaccurate metering systems and difficult to coordinate profit distribution methods.

[0055] In order to solve the above problems, the present invention provides a railway photovoltaic energy storage contract energy management system and a revenue distribution method, including a new energy power generation system, an energy storage system, a railway energy router and a metering system. The new energy power generation system provides energy for train traction, and the energy storage system is used to store the electric energy fed back to the traction network during train regenerative braking, provide electric energy for train traction when the traction load exceeds the preset power peak threshold, and absorb excess new energy electric energy. The railway energy router is used to transfer the new energy output, and the metering system is used to calculate the electricity cost saved by the traction substation. Then, a railway new energy contract energy management revenue distribution model is established. In the game model, the energy-consuming unit determines the contract time and revenue distribution ratio with the energy-saving service company with the goal of maximizing its own net profit. The energy-saving service company adjusts the initial investment cost to obtain the maximum net profit and internal rate of return. The two parties play a game and finally reach a game equilibrium. Considering the problem that the existing electrified railway new energy system has an imperfect multi-party economic benefit distribution system, the present invention can effectively solve the energy consumption metering and benefit distribution problems of railway contract energy management, and achieve a win-win effect for both parties in the game.

[0056] Next, the structural components, connection modes and functional principles of the system of the embodiment of the present invention are described in detail based on the drawings. Although the logical order of each operation is shown in the process of describing the operating principle of the system structure, in some cases, the operations shown or described can be performed in a different order than here.

[0057] Embodiment 1

[0058] Figure 1 The schematic diagram of the structure of the railway photovoltaic energy storage contract management system provided by the first embodiment of the present invention is shown. Figure 1 It can be seen that the system includes:

[0059] Railway energy-saving control subsystem and energy management benefit distribution subsystem;

[0060] The railway energy-saving control subsystem includes a railway energy router, an energy storage system and a new energy power generation system;

[0061] The railway energy router is arranged between the α phase and the β phase of the railway traction substation, and includes a converter, a transformer group and a reactor group, and is used to balance the power of the α phase and the β phase power supply arms or transfer the new energy output to the α phase and the β phase power supply arms;

[0062] The new energy power generation system is connected to the DC side of the converter via a converter to provide energy for train traction operations;

[0063] In the train control system, the renewable energy power generation system can usually only replace a small part of the electric energy, and most of the energy is still taken from the power grid. In actual application, the main logic is to give priority to the use of renewable energy power to power the relevant equipment in the train and the train operation to achieve the traction operation of the train. When the power of the renewable energy power generation system is not enough to power the relevant equipment in the train and the train operation, it will be supplemented by the power grid to power the train traction operation.

[0064] The energy storage system is connected to the converter of the railway energy router through a converter, and is used to store surplus electric energy during train operation and provide electric energy for train traction when there is a demand for energy storage supply for the traction load;

[0065] When the electricity generated by photovoltaic power generation > the train operating electricity + the electricity used by related equipment in the train, there will be excess new energy electricity, that is, the surplus electricity for operation. The excess new energy electricity = the electricity generated by photovoltaic power generation - the train operating electricity - the electricity used by related equipment in the train. Therefore, the energy storage system is used to absorb the excess new energy electricity for storage;

[0066] The energy management revenue distribution subsystem includes a metering module and a revenue balance calculation module;

[0067] The metering module includes a first metering unit arranged at the three-phase high-voltage side of the traction substation, a second metering unit arranged at the α phase of the traction substation, and a third metering unit arranged at the β phase of the traction substation, which are used to respectively measure the traction load at the high-voltage side of the traction substation after the new energy is connected, the α phase traction charge, and the β phase traction load;

[0068] The revenue balance calculation module is communicatively connected with the metering module, and is used to decide the target revenue distribution plan based on the metering result by adopting the set railway new energy contract energy management revenue distribution game model.

[0069] The railway photovoltaic energy storage contract energy management system provided by the present invention can carry out energy-saving control on railway voice, and obtain the electricity charges paid by the traction substation before and after the new energy is connected through the metering module; then, based on the established railway new energy contract energy management profit distribution game model, the energy-consuming unit determines the contract time and profit distribution ratio with the energy-saving service company, the energy-saving service company adjusts the initial investment cost, and the energy-consuming unit and the energy-saving service company conduct game calculations to finally reach a game equilibrium, solve the railway contract energy management profit distribution problem, and achieve a win-win situation for both parties in the game.

[0070] Preferably, in one embodiment, the converter of the railway energy router is a three-port converter.

[0071] The transformer group of the railway energy router includes a first transformer connected between the left AC end of the converter and the α power supply arm of the traction substation and a second transformer connected between the right AC end of the converter and the β power supply arm of the traction substation;

[0072] The reactor group includes a first reactor connected between the left AC end of the converter and the α power supply arm of the traction substation and a second reactor connected between the right AC end of the converter and the β power supply arm of the traction substation.

[0073] In an optional embodiment, the new energy power generation system is connected to the DC side of the three-port converter via a DC-DC (or AC-DC) converter to provide energy for train traction.

[0074] In one embodiment, the energy storage system is connected to the DC side of the three-port converter via a direct-hook or bidirectional DC-DC converter; the surplus electric energy stored during the train operation process includes the electric energy fed back during regenerative braking and the surplus electric energy generated by the new energy power generation system.

[0075] Specifically, in an optional embodiment, the energy storage system adopts at least one of the following energy storage methods: lithium battery, super capacitor, flywheel.

[0076] The metering module of the energy management revenue distribution subsystem includes a first metering unit arranged on the three-phase high-voltage side of the traction substation, a second metering unit arranged on the α phase of the traction substation, and a third metering unit arranged on the β phase of the traction substation, which are used to respectively measure the traction load P(t) on the high-voltage side of the traction substation after the new energy is connected, the α phase traction charge P(t), and the α phase traction charge P(t). α (t) and β phase traction load P β (t); based on the obtained traction load P(t) on the high voltage side of the traction substation and the α-phase traction charge P α (t) and β phase traction load P β (t) and other parameters can reliably judge the working condition of the train and analyze and determine the amount of electricity used by new energy sources for train operation and related equipment on the train.

[0077] The revenue balance calculation module is configured to calculate the maximum demand, electricity consumption (power consumption) and power factor with or without new energy access based on the measured traction charge, and calculate the monthly and annual electricity cost savings of the traction substation under new energy access. The power factor parameter is related to the decision-making of policies related to electricity fee penalties.

[0078] In the embodiment of the present invention, the traction substation adopts a two-part billing method, and the monthly and annual electricity cost savings of the traction substation under the access of new energy are calculated as follows:

[0079] R T =B ele (E-E1)+12B cap (P avg.15min -P avg1.15min )

[0080] Where: B ele is the unit price of electricity, the electricity fee that the train needs to pay for each kWh of electricity used; E is the annual power consumption before the connection of new energy, E1 is the annual power consumption after the connection of new energy, and B cap The basic unit price of electricity is usually calculated based on the capacity of the transformer or the required power of the equipment; P avg.15min is the maximum demand before the new energy is connected, P avg1.15min It is the maximum demand after the access of new energy.

[0081] In the embodiment of the present invention, considering that the energy-saving service company and the energy-consuming unit are the two major subjects of the contract energy management, in actual application, the energy-saving service company usually refers to the investment enterprise, and the energy-consuming unit refers to the railway traction power supply system, and the contract form adopted is the energy-saving benefit sharing type.

[0082] In a preferred embodiment, the present invention establishes a railway new energy contract energy management revenue distribution model based on the Stackelberg game. In the game model, the energy-consuming unit, as the upper-level leader, aims to maximize its own net profit and determines the contract time and revenue distribution ratio with the energy-saving service company. The energy-saving service company, as the lower-level follower, observes the contract time and revenue distribution ratio determined by the energy-consuming unit, adjusts the initial investment cost to obtain the maximum net profit and internal rate of return of the energy-saving service company, and feeds it back to the upper level. The two play a game and finally reach a game equilibrium.

[0083] The railway photovoltaic energy storage contract energy management system of the embodiment of the present invention adopts an energy-saving benefit-sharing contract energy management form;

[0084] The revenue balance calculation module is further configured to determine the target revenue distribution plan according to the following operations:

[0085] Establish a revenue distribution game model for railway new energy contract energy management, taking the contract time, revenue distribution ratio and the initial investment of the energy-saving service company as optimization variables;

[0086] The goal is to maximize the net profit of energy-consuming units, that is, the energy-consuming units maximize their own net profit, and adjust the optimization variables with the goal of maximizing the net profit and internal rate of return of the energy-saving service company, and finally determine the initial investment of the energy-saving service company that meets the optimization goals as well as the corresponding contract time and profit distribution ratio.

[0087] In the revenue distribution game model of railway new energy contract energy management, the net revenue Q of the energy-saving service company is represented by the following formulas: E , the net income of the energy-consuming unit Q C And the internal rate of return IRR:

[0088]

[0089] Where: t represents the year, T c is the validity period of the contract, a is the profit distribution ratio of the energy-consuming unit, R T is the annual electricity savings, L is the initial investment cost of the energy-saving service company; C T is the annual operation and maintenance cost, k is the operation and maintenance growth coefficient, and n is the project cycle.

[0090] Further, in one embodiment, if Figure 2 As shown, the specific solution steps of the profit distribution method are:

[0091] Step a1: Based on the set number of iterations G n and initial game operation parameters; the initial game operation parameters include the initial contract time T c and initial profit distribution ratio a;

[0092] Step a2: Adopting an optimization algorithm to iteratively optimize the installed capacity of new energy, the capacity of railway energy routers and the energy storage capacity in the railway energy-saving control subsystem, and solving and calculating the corresponding net income, internal rate of return and initial investment cost of the energy-saving service company; the energy-saving service company takes the maximum net income and internal rate of return as the goal according to the contract time and the profit distribution ratio, and preferably adopts a multi-objective genetic algorithm (NSGA-Ⅱ algorithm) to iteratively optimize the installed capacity of new energy, the capacity of railway energy routers and the energy storage capacity in the railway energy-saving control subsystem;

[0093] Step a3: The energy-saving service company feeds back the initial investment cost to the energy-consuming unit and updates the net income of the energy-consuming unit based on the initial investment cost;

[0094] Step a4: using an optimization algorithm to iteratively update the contract time and the profit distribution ratio with the goal of maximizing the net profit of the energy-consuming unit; optionally, using an improved particle swarm algorithm to update the contract time and the profit distribution ratio with the goal of maximizing the net profit;

[0095] The operations from step a2 to step a4 are executed repeatedly until the game equilibrium state is met, or the calculation is stopped when the set number of iterations is reached, and the contract time and profit distribution ratio are output.

[0096] Preferably, in the revenue distribution game model of railway new energy contract energy management, the solution process must at least meet the following constraints: contract time, revenue distribution ratio and initial investment cost constraints, energy-saving service company investment recovery period constraints, energy-saving service company net income constraints, contract time and revenue distribution ratio increase with the increase of initial investment cost, and the specific expression is:

[0097]

[0098] Where: T1 is the maximum contract time set by the energy user, T pp is the investment payback period of the energy-saving service company, T max The maximum investment payback period that the energy-saving service company can accept; * The industry benchmark rate of return.

[0099] Optionally, in one embodiment, Figure 3 As shown in the figure, when iteratively optimizing the installed capacity of new energy in the railway energy-saving control subsystem, the solution process of the multi-objective genetic algorithm is as follows:

[0100] Sa2-1, Initialize parameters, randomly generate N P Group capacity parameters, and calculate its net income and internal rate of return;

[0101] Sa2-2, through the binary tournament, select N from the current population P / 2 dominant individuals act as the parent population for inheritance and mutation operations, producing N P / 2 offspring populations, and calculate the net income and internal rate of return of each offspring population;

[0102] Sa2-3, N P / 2 offspring populations are combined with the current population to perform non-dominated sorting and crowding distance calculation, and N P Dominant individuals serve as the next generation population;

[0103] Sa2-4, stop calculation when the maximum evolutionary generation is reached, otherwise enter S22.

[0104] After obtaining the Pareto optimal solution, decision makers may need to select an optimal compromise solution based on the specific preferences of different applications. However, due to the inaccuracy of human judgment, it is usually impossible to clearly define what is really needed. Therefore, the fuzzy set δ i This problem is introduced here. i Define linear membership functions;

[0105] Sa2-5, the fuzzy set of Pareto solution set is calculated by membership function, and the expression is as follows:

[0106]

[0107] Among them, δ i represents a fuzzy set, h i represents the value of the i-th optimization objective function of the Pareto solution set, h i,max 、h i,min are the maximum and minimum values ​​of the i-th objective of the Pareto solution set, respectively.

[0108] Sa2-6. Calculate the fuzzy membership of the jth non-dominated solution in the Pareto solution set. The expression is as follows:

[0109]

[0110] Among them, N g To optimize the number of targets, the one with the largest fuzzy membership is the one to be solved; δ j represents the fuzzy membership of the jth non-dominated solution in the Pareto solution set, δ i,j represents the fuzzy set of the Pareto solution set of the i-th objective function in the j-th non-dominated solution, and J represents the number of non-dominated solutions.

[0111] As a preferred embodiment, see Figure 4 As shown, the solution process of the improved particle swarm algorithm in step Sa4 is:

[0112] Sa4-1, randomly generate N by particle swarm algorithm s Combine the contract time and profit distribution ratio to calculate and update the current maximum and global maximum of the net profit of the energy-consuming unit, the net profit of the energy-saving service company, the internal rate of return and the payback period;

[0113] Sa4-2, perform adaptive inertia weight calculation to update the inertia weight of each particle;

[0114] Sa4-3, update the particle position and perform adaptive mutation on the particles;

[0115] Sa4-4, calculate the net income of the energy-saving service company, and update the current maximum value and global maximum value of the objective function;

[0116] Sa4-5, determine the termination condition: if the number of iterations reaches the maximum number of generations, terminate the loop, otherwise enter S42.

[0117] The railway photovoltaic energy storage contract energy management system provided by the above embodiment of the present invention can solve the energy consumption metering problem of railway new energy contract energy management; based on the railway new energy contract energy management profit distribution game model, the balanced optimization calculation of profit distribution is realized, which effectively solves the railway new energy contract energy management profit distribution problem and achieves a win-win situation for both parties in the game.

[0118] In the railway photovoltaic energy storage contract energy management system provided by the embodiment of the present invention, each module or unit structure can operate independently or in combination according to the actual energy-saving system setting requirements and parameter solution requirements to achieve corresponding technical effects.

[0119] Embodiment 2

[0120] The system is described in detail in the embodiments disclosed in the above invention. Based on other aspects of the system described in any one or more embodiments, the present invention also provides a revenue distribution method for a railway photovoltaic energy storage contract management system, which is applied to the railway photovoltaic energy storage contract management system described in any one or more embodiments. Specific embodiments are given below for detailed description.

[0121] Specifically, the revenue distribution method of the railway photovoltaic energy storage contract management system provided in the embodiment of the present invention includes:

[0122] The railway energy router disposed between the α phase and the β phase of the railway traction substation is used to balance the power supply arm of the traction substation or transfer the output of new energy to the power supply arm;

[0123] The new energy power generation system provides energy for train traction operations;

[0124] The energy storage system stores the surplus electric energy during train operation and provides electric energy for train traction when there is a demand for energy storage supply in the traction load;

[0125] The metering module of the energy management revenue distribution subsystem is used to measure the traction load, α-phase traction charge and β-phase traction load on the high-voltage side of the traction substation after the access of new energy;

[0126] The revenue balance calculation module of the energy management revenue distribution subsystem is used to decide the target revenue distribution plan based on the measurement results and the established railway new energy contract energy management revenue distribution game model.

[0127] The railway photovoltaic energy storage contract energy management system used in the above method includes: a railway energy-saving control subsystem and an energy management income distribution subsystem;

[0128] The railway energy-saving control subsystem includes a railway energy router, an energy storage system and a new energy power generation system;

[0129] The railway energy router is arranged between the α phase and the β phase of the railway traction substation, and includes a converter, a transformer group and a reactor group, and is used to balance the power supply arm of the traction substation or transfer the output of new energy to the power supply arm;

[0130] The new energy power generation system is connected to the DC side of the converter via a converter to provide energy for train traction operations;

[0131] The energy storage system is connected to the converter of the railway energy router through a converter, and is used to store surplus electric energy during train operation and provide electric energy for train traction when there is a demand for energy storage supply for the traction load;

[0132] The energy management revenue distribution subsystem includes a metering module and a revenue balance calculation module;

[0133] The metering module includes a first metering unit arranged at the three-phase high-voltage side of the traction substation, a second metering unit arranged at the α phase of the traction substation, and a third metering unit arranged at the β phase of the traction substation, which are used to respectively measure the traction load at the high-voltage side of the traction substation after the new energy is connected, the α phase traction charge, and the β phase traction load;

[0134] The revenue balance calculation module is communicatively connected with the metering module, and is used to decide the target revenue distribution plan based on the metering result by adopting the established railway new energy contract energy management revenue distribution game model.

[0135] In an optional embodiment, the converter of the railway energy router is a three-port converter.

[0136] The transformer group of the railway energy router includes a first transformer connected between the left AC end of the converter and the α power supply arm of the traction substation and a second transformer connected between the right AC end of the converter and the β power supply arm of the traction substation;

[0137] The reactor group includes a first reactor connected between the left AC end of the converter and the α power supply arm of the traction substation and a second reactor connected between the right AC end of the converter and the β power supply arm of the traction substation.

[0138] Furthermore, in one embodiment, the energy storage system is connected to the DC side of the three-port converter via a direct-hook or bidirectional DC-DC converter; the surplus electric energy stored during the train operation process includes the electric energy fed back during regenerative braking and the surplus electric energy generated by the new energy power generation system.

[0139] Optionally, in one embodiment, the energy storage system adopts at least one of the following energy storage methods: lithium battery, super capacitor, flywheel.

[0140] In a preferred embodiment, the revenue balance calculation module is configured to calculate the maximum demand, electricity consumption and power factor with or without new energy access based on the measured traction charge, and calculate the monthly and annual electricity cost savings of the traction substation under new energy access.

[0141] Specifically, in an optional embodiment, the monthly and annual electricity cost savings of the traction substation under the access of new energy are calculated according to the following formula:

[0142] R T =B ele (E-E1)+12B cap (P avg.15min -P avg1.15min )

[0143] Where: B ele is the unit price of electricity; E is the annual power consumption before the access of new energy, E1 is the annual power consumption after the access of new energy, B cap is the basic electricity unit price; P avg.15min is the maximum demand before the new energy is connected, P avg1.15min It is the maximum demand after the access of new energy.

[0144] Furthermore, in one embodiment, the revenue balance calculation module is further configured to determine the target revenue distribution plan according to the following operations:

[0145] Establish a game model for the distribution of revenues of railway new energy contract energy management;

[0146] The initial investment cost of the energy-saving service company is adjusted with the goal of maximizing the net profit of the energy-consuming unit and the net profit and internal rate of return of the energy-saving service company, and the corresponding contract time and profit distribution ratio are determined.

[0147] In a preferred embodiment, in the railway new energy contract energy management income distribution game model, the net income Q of the energy-saving service company is represented by the following formula: E , the net income of the energy-consuming unit Q C And the internal rate of return IRR:

[0148]

[0149] Where: t represents the year, T c is the validity period of the contract, a is the profit distribution ratio of the energy-consuming unit, R T is the annual electricity savings, L is the initial investment cost of the energy-saving service company; C T is the annual operation and maintenance cost, k is the operation and maintenance growth coefficient, and n is the project cycle.

[0150] In an optional embodiment, the revenue balance calculation module performs model calculation according to the following steps:

[0151] Step a1: based on the set number of iterations and initial game operation parameters; the initial game operation parameters include the initial contract time and the initial profit distribution ratio;

[0152] Step a2: using an optimization algorithm to iteratively optimize the installed capacity of new energy, the capacity of railway energy routers and the energy storage capacity in the railway energy-saving control subsystem, and solving and calculating the corresponding net income, internal rate of return and initial investment cost of the energy-saving service company;

[0153] Step a3: Update the net income per energy user based on the initial investment cost;

[0154] Step a4: Adopting an optimization algorithm to maximize the net income of energy users, iteratively optimizing the calculation contract time and income distribution ratio;

[0155] The operations from step a2 to step a4 are executed repeatedly until the game equilibrium state is met, or the calculation is stopped when the set number of iterations is reached, and the final contract time and profit distribution ratio are output.

[0156] For the above-mentioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the order of the actions described, because according to the present invention, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0157] It should be pointed out that in other embodiments of the present invention, the method can also obtain a new revenue distribution method for the railway photovoltaic energy storage contract management system by combining one or several of the above-mentioned embodiments to achieve energy optimization control of railway operations.

[0158] It should be noted that, based on the method in any one or more of the above-mentioned embodiments of the present invention, the present invention also provides a storage medium, which stores program code that can implement the method as described in any one or more of the above-mentioned embodiments, and when the code is executed by the operating system, it can implement the profit distribution method of the railway photovoltaic energy storage contract management system as described above.

[0159] It should be understood that the embodiments disclosed in the present invention are not limited to the specific structures, processing steps or materials disclosed herein, but should be extended to equivalent substitutions of these features understood by ordinary technicians in the relevant field. It should also be understood that the terms used herein are only used for the purpose of describing specific embodiments and are not meant to be limiting.

[0160] The "one embodiment" mentioned in the specification means that a particular feature, structure or characteristic described in conjunction with the embodiment is included in at least one embodiment of the present invention. Therefore, the phrase "one embodiment" appearing in various places throughout the specification does not necessarily refer to the same embodiment.

[0161] Although the embodiments disclosed in the present invention are as above, the above contents are only embodiments adopted for facilitating the understanding of the present invention and are not intended to limit the present invention. Any technician in the technical field to which the present invention belongs can make any modifications and changes in the form and details of the implementation without departing from the spirit and scope disclosed in the present invention, but the patent protection scope of the present invention shall still be subject to the scope defined in the attached claims.

Claims

1. A railway photovoltaic energy storage contract energy management system, characterized in that: The system comprises: Railway energy-saving control subsystem and energy management benefit distribution subsystem; The railway energy-saving control subsystem includes a railway energy router, an energy storage system and a new energy power generation system; The railway energy router is arranged between the α phase and the β phase of the railway traction substation, and includes a converter, a transformer group and a reactor group, and is used to balance the power supply arm of the traction substation or transfer the output of new energy to the power supply arm; The new energy power generation system is connected to the DC side of the converter via a converter to provide energy for train traction operations; The energy storage system is connected to the converter of the railway energy router through a converter, and is used to store surplus electric energy during train operation and provide electric energy for train traction when there is a demand for energy storage supply for the traction load; The energy management revenue distribution subsystem includes a metering module and a revenue balance calculation module; The metering module includes a first metering unit arranged at the three-phase high-voltage side of the traction substation, a second metering unit arranged at the α phase of the traction substation, and a third metering unit arranged at the β phase of the traction substation, which are used to respectively measure the traction load at the high-voltage side of the traction substation after the new energy is connected, the α phase traction charge, and the β phase traction load; The revenue balance calculation module is communicatively connected with the metering module, and is used to decide the target revenue distribution plan based on the metering result by adopting the established railway new energy contract energy management revenue distribution game model.

2. The system according to claim 1, characterized in that The converter of the railway energy router adopts a three-port converter; The transformer group of the railway energy router includes a first transformer connected between the left AC end of the converter and the α power supply arm of the traction substation and a second transformer connected between the right AC end of the converter and the β power supply arm of the traction substation; The reactor group includes a first reactor connected between the left AC end of the converter and the α power supply arm of the traction substation and a second reactor connected between the right AC end of the converter and the β power supply arm of the traction substation.

3. The system according to claim 1, characterized in that The energy storage system is connected to the DC side of the three-port converter via a direct-hook or bidirectional DC-DC converter; the surplus electric energy stored during train operation includes the electric energy fed back during regenerative braking and the surplus electric energy generated by the new energy power generation system.

4. The system according to claim 1, characterized in that The energy storage system adopts at least one of the following energy storage methods: lithium battery, super capacitor, and flywheel.

5. The system according to claim 1, characterized in that The revenue balance calculation module is configured to calculate the maximum demand, electricity quantity and power factor with or without new energy access based on the measured traction charge, and calculate the monthly and annual electricity cost savings of the traction substation under new energy access.

6. The system according to claim 1, characterized in that The monthly and annual electricity cost savings of the traction substation under the access of new energy are calculated as follows: R T =B ele (E-E1)+12B cap (P avg.15min -P avg1.15min ) Where: B ele is the unit price of electricity; E is the annual power consumption before the access of new energy, E1 is the annual power consumption after the access of new energy, B cap is the basic electricity unit price; P avg.15min is the maximum demand before the new energy is connected, P avg1.15min It is the maximum demand after the access of new energy.

7. The system according to claim 1, characterized in that The revenue balance calculation module is further configured to determine the target revenue distribution plan according to the following operations: Establish a game model for the distribution of revenues of railway new energy contract energy management; The initial investment cost of the energy-saving service company is adjusted with the goal of maximizing the net profit of the energy-consuming unit and the net profit and internal rate of return of the energy-saving service company, and the corresponding contract time and profit distribution ratio are determined.

8. The system according to claim 1, characterized in that In the revenue distribution game model of railway new energy contract energy management, the net revenue Q of the energy-saving service company is represented by the following formulas: E , the net income of the energy-consuming unit Q C And the internal rate of return IRR: Where: t represents the year, T c is the validity period of the contract, a is the profit distribution ratio of the energy-consuming unit, R T is the annual electricity savings, L is the initial investment cost of the energy-saving service company; C T is the annual operation and maintenance cost, k is the operation and maintenance growth coefficient, and n is the project cycle.

9. The system according to claim 1, characterized in that The revenue balance calculation module performs model calculation according to the following steps: Step a1: based on the set number of iterations and initial game operation parameters; the initial game operation parameters include the initial contract time and the initial profit distribution ratio; Step a2: using an optimization algorithm to iteratively optimize the installed capacity of new energy, the capacity of railway energy routers and the energy storage capacity in the railway energy-saving control subsystem, and solving and calculating the corresponding net income, internal rate of return and initial investment cost of the energy-saving service company; Step a3: Update the net income per energy user based on the initial investment cost; Step a4: Adopting an optimization algorithm to maximize the net income of energy users, iteratively optimizing the calculation contract time and income distribution ratio; The operations from step a2 to step a4 are executed repeatedly until the game equilibrium state is met, or the calculation is stopped when the set number of iterations is reached, and the final contract time and profit distribution ratio are output.

10. A method for distributing revenue of a railway photovoltaic energy storage contract management system, characterized in that: The method is applied to the system according to any one of claims 1 to 9; the method comprises: The railway energy router disposed between the α phase and the β phase of the railway traction substation is used to balance the power supply arm of the traction substation or transfer the output of new energy to the power supply arm; The new energy power generation system provides energy for train traction operations; The energy storage system stores the surplus electric energy during train operation and provides electric energy for train traction when there is a demand for energy storage supply in the traction load; The metering module of the energy management revenue distribution subsystem is used to measure the traction load, α-phase traction charge and β-phase traction load on the high-voltage side of the traction substation after the access of new energy; The revenue balance calculation module of the energy management revenue distribution subsystem is used to decide the target revenue distribution plan based on the measurement results and the established railway new energy contract energy management revenue distribution game model.

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