Multi-dimensional evaluation planning method and device for comprehensive energy system of thermal power plant

Abstract

The application relates to a multi-dimensional evaluation planning method and device for a thermal power plant comprehensive energy system, wherein the method comprises the following steps: taking a coal-fired generator set as a core energy conversion equipment, establishing multiple renewable fuel input options in addition to coal and multiple energy product supply options in addition to power; a multi-dimensional evaluation index system is established; a mathematical model of the thermal power plant comprehensive energy system is generated based on a pre-established thermal balance full working condition mathematical model library and a target configuration combination of the thermal power plant comprehensive energy system; and a final planning scheme and index evaluation condition of the thermal power plant comprehensive energy system are generated according to a configuration and equipment capacity meeting preset optimal conditions. According to the embodiment of the application, various indexes of the comprehensive energy system based on the thermal power plant are evaluated from multiple angles, and a multi-objective optimization method is adopted to establish an optimal method for comprehensive energy transformation of the coal-fired thermal power generator set, thereby providing an effective reference for engineering decision of the comprehensive energy transformation of the coal-fired thermal power generator set.

Description

Technical Field

[0001] This application relates to the field of integrated energy system technology, and in particular to a multi-dimensional evaluation and planning method and apparatus for integrated energy systems of thermal power plants. Background Technology

[0002] In recent years, the proportion of renewable energy power generation has been increasing year by year. Therefore, the annual utilization hours of thermal power units will decline significantly in the future. Most thermal power units will be in a low-load operation state for a long time, resulting in a significant decrease in unit efficiency and an increase in power generation costs year by year.

[0003] However, statistics show that approximately 50% of my country's current installed power capacity is still powered by coal-fired power units. This indicates a significant existing stock of coal-fired power units, which currently serve as a crucial safeguard against the intermittency and volatility of renewable energy sources, playing a vital role in stabilizing power supply. However, under the pressure of renewable energy development and the retirement of coal-fired power units, many of these units face survival difficulties. Continuing to rely solely on power supply services will be unsustainable due to high costs and will not meet the demands of my country's energy transition and energy conservation and emission reduction initiatives. Therefore, the successful transformation of these numerous coal-fired power units will be a key factor determining the success of the power industry's low-carbon transformation.

[0004] Thermal power plants in related technologies can leverage the development momentum and policy guidance of integrated energy services, combined with their own advantages, to build an integrated energy service system based on the source side of thermal power plants. By coupling various new energy conversion technologies and energy storage technologies, they can achieve multi-energy coupling and coordinated supply, comprehensive cascade utilization of energy, coupled utilization of renewable energy, and efficient utilization of electricity peak shaving and valley filling in the region. This can not only improve the profitability of thermal power plants themselves, but also reduce the energy costs of enterprises in the region and improve energy utilization efficiency, which is of great significance for improving the economic and environmental benefits of existing thermal power plants.

[0005] However, most of the related technologies focus on the design, composition, operation methods, and optimized operation methods (dispatch methods) of integrated energy systems with multiple energy inputs and outputs based on thermal power plants, but do not involve planning and evaluation, which reduces the efficiency and accuracy of evaluation and urgently needs to be improved. Summary of the Invention

[0006] This application provides a multi-dimensional evaluation and planning method and apparatus for integrated energy systems of thermal power plants, which addresses the problem that most related technologies focus on the design, composition, operation methods, and optimized operation methods (scheduling methods) of integrated energy systems with multiple energy inputs and outputs based on thermal power plants, but do not involve planning and evaluation, thus reducing the efficiency and accuracy of evaluation.

[0007] The first aspect of this application provides a multi-dimensional evaluation and planning method for a thermal power plant's integrated energy system, comprising the following steps: taking a coal-fired power generating unit as the core energy conversion equipment, establishing multiple renewable fuel input options other than coal and multiple energy product supply options other than electricity, and generating a target configuration combination based on the multiple renewable fuel input options and the multiple energy product supply options; establishing a multi-dimensional evaluation index system based on target energy efficiency indicators, target economic indicators, and target environmental indicators; generating a mathematical model of the thermal power plant's integrated energy system based on a pre-established mathematical model library of thermal balance under all operating conditions of the thermal power plant's integrated energy system and the target configuration combination; determining the supply capacity based on the multi-dimensional evaluation index system, preset constraints, and the mathematical model, and selecting feasible configurations based on the supply capacity, and determining the configuration and equipment capacity that meet preset optimal conditions based on the feasible configurations, and generating the final planning scheme and index evaluation status of the thermal power plant's integrated energy system based on the configuration and equipment capacity that meet the preset optimal conditions.

[0008] Optionally, in one embodiment of this application, the multiple renewable fuel input options include at least one of biomass gasification fuel, municipal solid waste gasification fuel, dried sludge co-firing, solid waste co-firing, and biomass co-firing.

[0009] Optionally, in one embodiment of this application, the multiple energy product supply options include at least one of direct steam supply, steam-driven absorption heat pump heating, steam-driven absorption chiller cooling, and heat network heat exchanger heating.

[0010] Optionally, in one embodiment of this application, the calculation formula for the target energy efficiency index is:

[0011]

[0012] Where Q represents energy output, S, C, and H subscripts represent the output of steam, cold, and hot energy products, respectively, P represents electricity output, and η represents the output of electricity. Boil B represents boiler efficiency, and B represents boiler fuel consumption.

[0013] The formula for calculating the target economic indicators is as follows:

[0014]

[0015] Where DPP is the dynamic payback period, CI and CO represent cash inflows and outflows, respectively, and r dis Here, y represents the discount rate, and y represents the number of years the project has been running.

[0016] The formula for calculating the target environmental protection index is as follows:

[0017]

[0018] Among them, Em coal and Em re These are the carbon dioxide emission factors for coal and renewable fuels, respectively; B is the boiler fuel consumption; and Q is... re η represents the renewable fuel energy input, t represents the average annual operating time, and η represents the energy input. Boil For the boiler efficiency, Δ c H s For the lower calorific value of coal, η re For the efficiency of renewable fuel conversion devices, h re This refers to the enthalpy value of renewable fuels.

[0019] Optionally, in one embodiment of this application, determining the supply capacity based on the multidimensional evaluation index system, preset constraints, and the mathematical model includes: establishing a judgment matrix based on the multidimensional evaluation index system, and determining the importance of each index based on the judgment matrix; establishing a single-order vector of weight hierarchy for each index based on the importance of each index, and calculating the index weights after the single-order vector of weight hierarchy passes the test; calculating solutions satisfying preset optimal conditions in the Pareto dominance solution set based on the index weights, the preset constraints, and the mathematical model, and determining the supply capacity based on the solutions satisfying the preset optimal conditions.

[0020] A second aspect of this application provides a multi-dimensional evaluation and planning device for a thermal power plant integrated energy system, comprising: a combination generation module, used to establish multiple renewable fuel input options (excluding coal) and multiple energy product supply options (excluding electricity) with coal-fired power generating units as the core energy conversion equipment, and to generate a target configuration combination based on the multiple renewable fuel input options and the multiple energy product supply options; a modeling module, used to establish a multi-dimensional evaluation index system based on target energy efficiency indicators, target economic indicators, and target environmental protection indicators; a model generation module, used to generate a mathematical model of the thermal power plant integrated energy system based on a pre-established mathematical model library of thermal balance under all operating conditions of the thermal power plant integrated energy system and the target configuration combination; and an evaluation and planning module, used to determine the supply capacity based on the multi-dimensional evaluation index system, preset constraints, and the mathematical model, and to screen feasible configurations based on the supply capacity, and to determine the configuration and equipment capacity that meet preset optimal conditions based on the feasible configurations, and to generate the final planning scheme and index evaluation status of the thermal power plant integrated energy system based on the configuration and equipment capacity that meet the preset optimal conditions.

[0021] Optionally, in one embodiment of this application, the multiple renewable fuel input options include at least one of biomass gasification fuel, municipal solid waste gasification fuel, dried sludge co-firing, solid waste co-firing, and biomass co-firing.

[0022] Optionally, in one embodiment of this application, the multiple energy product supply options include at least one of direct steam supply, steam-driven absorption heat pump heating, steam-driven absorption chiller cooling, and heat network heat exchanger heating.

[0023] Optionally, in one embodiment of this application, the calculation formula for the target energy efficiency index is:

[0024]

[0025] Where Q represents energy output, S, C, and H subscripts represent the output of steam, cold, and hot energy products, respectively, P represents electricity output, and η represents the output of electricity. Boil B represents boiler efficiency, and B represents boiler fuel consumption.

[0026] The formula for calculating the target economic indicators is as follows:

[0027]

[0028] Where DPP is the dynamic payback period, CI and CO represent cash inflows and outflows, respectively, and r dis Here, y represents the discount rate, and y represents the number of years the project has been running.

[0029] The formula for calculating the target environmental protection index is as follows:

[0030]

[0031] Among them, Em coal and Em re These are the carbon dioxide emission factors for coal and renewable fuels, respectively; B is the boiler fuel consumption; and Q is... re η represents the renewable fuel energy input, t represents the average annual operating time, and η represents the energy input. Boil For the boiler efficiency, Δ c H s For the lower calorific value of coal, η re For the efficiency of renewable fuel conversion devices, h re This refers to the enthalpy value of renewable fuels.

[0032] Optionally, in one embodiment of this application, the evaluation planning module includes: an establishment unit, configured to establish a judgment matrix based on the multidimensional evaluation index system, and determine the importance of each index according to the judgment matrix; a calculation unit, configured to establish a single-order vector of weight hierarchy for each index based on the importance of each index, and calculate the index weight after the single-order vector of weight hierarchy for each index passes the test; and a determination unit, configured to calculate the solution in the Pareto dominance solution set that satisfies the preset optimal conditions based on the index weights, the preset constraints, and the mathematical model, and determine the supply capacity according to the solution that satisfies the preset optimal conditions.

[0033] A third aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the multi-dimensional evaluation and planning method for a thermal power plant integrated energy system as described in the above embodiments.

[0034] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described multidimensional evaluation and planning method for an integrated energy system of a thermal power plant.

[0035] A fifth aspect of this application provides a computer program product that stores a computer program that, when executed by a processor, implements the above-described multidimensional evaluation and planning method for a thermal power plant's integrated energy system.

[0036] This application's embodiments can evaluate various indicators of integrated energy systems based on coal-fired power plants from multiple perspectives. It employs multi-objective optimization methods to establish an optimal method for the integrated energy retrofit of coal-fired power units, providing the optimal solution for the system's design. This offers a valuable reference for engineering decisions regarding the integrated energy retrofit of coal-fired power units, guiding relevant policy planners and engineers in the targeted planning and construction of integrated energy systems based on coal-fired power plants. This addresses the problem that most related technologies focus on the design, composition, operation methods, and optimized operation methods (scheduling methods) of integrated energy systems with multiple energy inputs and outputs based on coal-fired power plants, while neglecting planning and evaluation, thus reducing evaluation efficiency and accuracy.

[0037] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0038] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0039] Figure 1 This is a flowchart of a multi-dimensional evaluation and planning method for an integrated energy system of a thermal power plant, provided according to an embodiment of this application.

[0040] Figure 2 This is a schematic diagram of a possible configuration of an integrated energy system for a thermal power plant according to one embodiment of this application;

[0041] Figure 3 This is a schematic diagram of the original structure of a thermal power plant according to an embodiment of this application;

[0042] Figure 4 This is a schematic diagram of an integrated energy system configuration for a thermal power plant according to an embodiment of this application;

[0043] Figure 5 A detailed flowchart of a multi-dimensional evaluation and planning method for an integrated energy system of a thermal power plant according to an embodiment of this application;

[0044] Figure 6 This is a schematic diagram of the structure of a multi-dimensional evaluation and planning device for an integrated energy system of a thermal power plant, according to an embodiment of this application.

[0045] Figure 7 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of this application. Detailed Implementation

[0046] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0047] The following description, with reference to the accompanying drawings, illustrates a multi-dimensional evaluation and planning method and apparatus for integrated energy systems in thermal power plants, according to embodiments of this application. Addressing the issue that most related technologies mentioned in the background section focus on the design, structure, operation methods, and optimized operation methods (scheduling methods) of integrated energy systems based on the multi-energy input and multi-energy output of thermal power plants, without addressing planning and evaluation aspects, thus reducing evaluation efficiency and accuracy, this application provides a multi-dimensional evaluation and planning method for integrated energy systems in thermal power plants. This method can evaluate various indicators of integrated energy systems based on thermal power plants from multiple perspectives and employs multi-objective optimization methods to establish an optimal method for the integrated energy transformation of coal-fired power units, providing the optimal solution for the system's optimized design. This provides effective reference for engineering decisions regarding the integrated energy transformation of coal-fired power units, aiming to guide relevant policy planners and engineering technicians in the targeted planning and construction of integrated energy systems based on thermal power plants. Therefore, this solves the problem that most related technologies focus on the design, structure, operation methods, and optimized operation methods (scheduling methods) of integrated energy systems based on the multi-energy input and multi-energy output of thermal power plants, without addressing planning and evaluation aspects, thus reducing evaluation efficiency and accuracy.

[0048] Specifically, Figure 1 This is a flowchart illustrating a multi-dimensional evaluation and planning method for an integrated energy system of a thermal power plant, provided as an embodiment of this application.

[0049] Before introducing the multi-dimensional evaluation and planning method for integrated energy systems of thermal power plants proposed in the embodiments of this application, let's first introduce the relevant background:

[0050] In recent years, integrated energy systems that combine multiple energy sources have become a research focus. Integrated energy services are a new type of energy service designed to meet the diversified energy production and consumption needs of end users. They refer to systems capable of supplying users within a region with various forms of energy products, such as steam, cooling, heating, and electricity, from one or a group of prime movers. These systems provide users with "one-stop, comprehensive, and customized" energy solutions, encompassing energy integration planning, construction, investment, operation, and evaluation, and are characterized by high efficiency, integration, and openness. During the planning, construction, and operation of integrated energy systems, the production, transmission, distribution, conversion, storage, and consumption of multiple energy sources are organically coordinated and optimized to form an integrated energy production, supply, and sales system that meets the needs of various energy products, including cooling, heating, electricity, and steam. Integrated energy systems can utilize advanced management methods and scientific technologies to integrate different energy sources within the system, enabling coordinated planning and mutual support among different energy subsystems, thereby achieving cascaded energy utilization and improving energy efficiency.

[0051] Regional integrated energy systems have wide applications in industry, construction, and other fields. In terms of energy efficiency and economy, integrated energy systems have significant advantages over segmented energy systems. Currently, social development has led to an increase in energy consumption in various forms. For example, the food and chemical industries have large steam load demands, the development of the internet industry has brought about a large demand for data processing and storage, resulting in a large demand for electricity and cooling, and the increase in urban scale has also brought greater heating demands.

[0052] like Figure 1 As shown, the multi-dimensional evaluation and planning method for the integrated energy system of this thermal power plant includes the following steps:

[0053] In step S101, taking the coal-fired power generation unit as the core energy conversion equipment, multiple renewable fuel input options other than coal and multiple energy product supply options other than electricity are established, and a target configuration combination is generated based on the multiple renewable fuel input options and multiple energy product supply options.

[0054] In actual implementation, the embodiments of this application can establish alternative planning schemes for a comprehensive energy system based on the surrounding conditions of the thermal power plant. Taking the coal-fired power generating unit as the core energy conversion equipment, and combining the current renewable fuel input technology of the coal-fired power generating unit, multiple renewable fuel input options other than coal are established on the fuel input side of the coal-fired unit. Combining the current steam extraction technology and various steam-driven energy conversion equipment, multiple energy product supply options other than electricity are established on the energy product output side of the coal-fired unit. The target configuration combination is generated based on the multiple renewable fuel input options and the multiple energy product supply options.

[0055] For example, as follows Figure 2 As shown, a power plant needs to supply steam, cooling, and heat in addition to electricity. Therefore, on the output side, steam is supplied directly, cooling is supplied by single-effect or double-effect absorption chillers, and heat is supplied by absorption heat pumps or heat exchangers. Based on the steam requirements of each device, steam is extracted from a specific point in the power plant (here, high-pressure cylinder exhaust, reheat steam, and intermediate-pressure cylinder exhaust) to drive the energy conversion equipment. Thus, there are four possible configurations on the output side: (direct supply + single-effect absorption chiller + absorption heat pump, direct supply + single-effect absorption chiller + heat exchanger, direct supply + double-effect absorption chiller + absorption heat pump, direct supply + double-effect absorption chiller + heat exchanger). The original structure of the thermal power plant is shown below. Figure 3 As shown, the integrated energy system configuration of a thermal power plant is as follows: Figure 4 As shown.

[0056] Meanwhile, based on the needs of surrounding users, the required parameters for steam are 10-100 tons per hour, temperature 230 degrees Celsius, and pressure 1.2 MPa; cooling load is 0-50 MW and temperature 2 degrees Celsius; and heating load is 20-80 MW and temperature 95 degrees Celsius. These parameters will be used as constraints for subsequent calculations.

[0057] In addition, there is a large demand for biomass consumption in the vicinity of the power plant. Therefore, on the input side, there are two types of equipment: biomass gasification furnace and biomass co-firing, resulting in two possible configurations (coal-fired + biomass gasification furnace, and coal-fired + biomass co-firing). Through the combination of the input and output sides, there are a total of 8 possible integrated energy system configurations.

[0058] Meanwhile, based on the surrounding biomass supply situation, the biomass supply is 10-20 tons per hour, and the elemental analysis results are provided by the actual supply situation, which serves as a constraint for subsequent calculations.

[0059] The embodiments of this application can utilize multiple fuel inputs. The integrated energy system based on the thermal power plant can significantly absorb renewable fuels around the power plant, such as biomass, municipal waste, and dried sludge, reducing the consumption of fossil fuels such as coal and natural gas, improving the economic performance of the power plant, and meeting current environmental protection requirements. By supplying multiple energy products, it can simultaneously provide users with various forms of energy products such as cooling, heating, electricity, and steam. The integrated energy system based on the thermal power plant can meet the diverse energy needs of the surrounding industrial park, improve the energy efficiency level and comprehensive energy utilization rate of the thermal power plant, reduce energy efficiency losses caused by low-load operation, and increase economic benefits.

[0060] Optionally, in one embodiment of this application, the multiple renewable fuel input options include at least one of biomass gasification fuel, municipal solid waste gasification fuel, dried sludge co-firing, solid waste co-firing, and biomass co-firing.

[0061] In actual implementation, the embodiments of this application can form a variety of renewable fuel input options other than coal, based on biomass gasification fuel, municipal solid waste gasification fuel, dried sludge co-firing, solid waste co-firing, and biomass co-firing, thereby effectively reducing dependence on fossil fuels, treating waste, and realizing the recycling of resources.

[0062] Optionally, in one embodiment of this application, the multiple energy product supply options include at least one of direct steam supply, steam-driven absorption heat pump heating, steam-driven absorption chiller cooling, and heat network heat exchanger heating.

[0063] In actual implementation, the embodiments of this application can provide multiple energy product supply options other than electricity, such as direct steam supply, steam-driven absorption heat pump heating, steam-driven absorption chiller cooling, and heat network heat exchanger heating, thereby realizing multiple energy supply options other than electricity, and thus improving energy utilization efficiency and system flexibility.

[0064] In step S102, a multi-dimensional evaluation index system is established based on the target energy efficiency index, target economic index, and target environmental protection index.

[0065] It is understood that, taking into account the complexity of integrated energy systems, the embodiments of this application emphasize the importance of planning for integrated energy systems before construction, and require comprehensive consideration of multiple aspects such as thermal efficiency, economy, and environmental protection.

[0066] Specifically, the embodiments of this application can establish a multi-dimensional evaluation system, including three aspects: target energy efficiency indicators, target economic indicators, and target environmental protection indicators. By evaluating the indicators of the integrated energy system based on thermal power plants from multiple perspectives, and through multi-dimensional analysis, comprehensively, realistically, and accurately assessing the benefits of transforming a thermal power plant into an integrated energy system of a certain configuration, an evaluation theory for integrated energy systems of thermal power plants is established. This is conducive to engineering technicians quickly assessing the value of integrated energy transformation schemes for thermal power plants, and improving the efficiency and accuracy of evaluation.

[0067] In one embodiment of this application, an energy efficiency evaluation index based on the first law of thermodynamics can be used to analyze the energy utilization of a system. The energy efficiency index adopts the primary energy utilization rate index, which refers to the ratio of the energy of all energy products output by the system to the energy consumed by the system. This index can intuitively evaluate the energy utilization of the system. The calculation formula for the target energy efficiency index is as follows:

[0068]

[0069] Where PER is the primary energy utilization rate index, Q is the energy output (kW), the subscripts S, C, and H represent the output of steam, cold, and heat energy products, respectively, P is the electricity output (kW), and η Boil B represents boiler efficiency, and B represents boiler fuel consumption (including coal and renewable fuels) (kW).

[0070] The economic performance indicator uses the dynamic payback period, which represents the time required for net profit to recover the initial investment cost. This indicator can be used to assess the project's profitability and capital recovery. The formula for calculating the target economic performance indicator is as follows:

[0071]

[0072] Where DPP is the dynamic payback period, CI and CO represent cash inflows and outflows, respectively, and r dis y represents the discount rate, and y represents the number of years the project has been running.

[0073] The cash inflow CI is the annual total revenue ATI, which can be calculated using the following formula:

[0074] ATI = (C E Q E +C S Q S +C C Q C +C H Q H )t,

[0075] Among them, C S C C C H C E denoted as energy product prices, and t as the average annual operating time.

[0076] CO represents cash outflows, including:

[0077] 1) Capital expenditure (TCE) for the renovation of coal-fired power plants. This is a one-time expense and can be calculated using the following formula:

[0078] TCE = ∑IC + CTC + PC

[0079] Where IC represents the equipment purchase cost, CTC represents the contingency cost, and PC represents the licensing cost, it can be expressed as follows:

[0080] CTC=ε CTC ∑IC,

[0081] PC = ε PC ∑IC,

[0082] Where, ε CTC Expressed as the equipment failure cost ratio, ε PC This is expressed as the allowable cost rate for the equipment.

[0083] 2) Annual operating expenses (ATOE) can be calculated using the following formula:

[0084]

[0085] Where, ε FOE Expressed as the equipment operation and maintenance cost rate, C coal For coal prices, Δ c H s For the lower calorific value of coal, η Boil For boiler efficiency, Q re C represents the renewable fuel energy input (kW).re For renewable fuel prices, h re η is the enthalpy value of renewable fuels (kJ / kg). re Efficiency of renewable fuel conversion devices.

[0086] Environmental performance indicators are calculated using carbon dioxide emissions. The formula for calculating the target environmental performance indicator is as follows:

[0087]

[0088] Where Em is the annual carbon dioxide emissions, Em coal and Em re These represent the carbon dioxide emission factors for coal and renewable fuels, respectively; B represents boiler fuel consumption; and Q represents the carbon dioxide emission factor for renewable fuels. re η represents the renewable fuel energy input, t represents the average annual operating time, and η represents the energy input. Boil For boiler efficiency, Δ c H s For the lower calorific value of coal, η re For the efficiency of renewable fuel conversion devices, h re This refers to the enthalpy value of renewable fuels.

[0089] In step S103, a mathematical model of the integrated energy system of a thermal power plant is generated based on a pre-established mathematical model library of thermal balance under all operating conditions and a combination of target configurations.

[0090] In actual implementation, the embodiments of this application can generate a mathematical model of the integrated energy system of a thermal power plant based on a pre-established mathematical model library of thermal balance under all operating conditions and a combination of target configurations, thereby optimizing energy utilization efficiency and improving system flexibility and economy.

[0091] For example, consider a case configuration where the input side consists of a biomass gasifier and coal, and the output side consists of direct supply, a double-effect absorption chiller, and a heat exchanger.

[0092] 1. Establish a mathematical model for the integrated energy system.

[0093] The mathematical model for the heat balance of the integrated energy system of a thermal power plant under all operating conditions is as follows:

[0094] Based on the principles of energy conservation and mass conservation, the thermal balance matrix of the thermal power unit can be obtained, as shown in the following equation:

[0095] For regenerators 1 through 4:

[0096]

[0097] For regenerators 5-8:

[0098]

[0099] Where, α i The extraction coefficient, δ, is the proportion of extracted steam to feedwater flow. i , λ i The changes in enthalpy related to the inlet and outlet of the regenerative heater can be expressed as follows:

[0100] δ i =h wi -h w(i+1) ,

[0101]

[0102] λ i =h di -h d(i+1) ,

[0103] Among them, h wi The enthalpy of the outlet water (kJ / kg) and h of each stage of the regenerator heater i Extraction enthalpy (kJ / kg), h di The enthalpy of the condensate drain in each stage of the regenerator is given in kJ / kg.

[0104] The output power P (kW) and boiler heat consumption B (kW) of a coal-fired power unit can be calculated using the following formula:

[0105]

[0106] in, For water supply flow rate (t / h), h0, h rh h CON These are the main steam enthalpy, reheat steam enthalpy rise, and exhaust steam enthalpy (kJ / kg), respectively. m =99% is the mechanical efficiency, η e =98.5% is the generator efficiency.

[0107] Among them, the reduction in steam extraction power from the integrated energy system is as follows:

[0108] ∑α IES h IES =α HPT Exhaust Steam h HPT Exhaust Steam +α Reheat Steam h Reheat Steam +α IPT Exhaust Steam h IPT Exhaust Steam ,

[0109] Reheat coefficient α rh :

[0110] α rh =1-α1-α2-α HPT Exhaust Steam ,

[0111] Exhaust coefficient α CON :

[0112]

[0113] HPT Exhaust, Reheat, and IPT Exhaust represent three extraction points: high-pressure cylinder exhaust, reheat steam, and intermediate-pressure cylinder exhaust, respectively. By combining the above formulas and inputting the extraction steam supply to the integrated energy system and the main steam flow rate, all operating parameters of the thermal power plant can be calculated.

[0114] On the input side, the renewable energy input model is as follows:

[0115] Q re =B-η Boil m coal Δ c H s ,

[0116] Among them, Q re For renewable fuel energy input (kW), m coal Coal consumption (kg).

[0117] Q re It can be represented as:

[0118] Q re =η re m re h re ,

[0119] Where, m re Renewable fuel consumption (kg).

[0120] On the output side, the output model for energy products is as follows:

[0121] The steam product output model is as follows:

[0122]

[0123] The output model for cooling products is as follows:

[0124]

[0125] The output model for heat products is as follows:

[0126]

[0127] Where Q is the energy product output (kW), η is the efficiency of the relevant equipment, α is the supply steam coefficient, and h is the supply steam enthalpy (kJ / kg).

[0128] Combining the above models, we obtain a mathematical model.

[0129] In step S104, the supply capacity is determined based on the multidimensional evaluation index system, preset constraints and mathematical model, and feasible configurations are selected based on the supply capacity. Based on the feasible configurations, the configurations and equipment capacities that meet the preset optimal conditions are determined, and the final planning scheme and index evaluation of the integrated energy system of the thermal power plant are generated based on the configurations and equipment capacities that meet the preset optimal conditions.

[0130] It is understood that the configuration that satisfies the preset optimal conditions in the embodiments of this application can be the optimal configuration.

[0131] As one possible approach, embodiments of this application may consider the corresponding constraints, and under the guidance of a multi-dimensional evaluation system, determine the supply capacity based on multi-objective optimization, analytic hierarchy process, and approximation of ideal solution ranking method, screen feasible configurations, and determine the optimal configuration and equipment capacity based on the feasible configurations.

[0132] In this embodiment, the Pareto dominant solution set can be calculated based on a multi-objective optimization algorithm under boundary condition constraints.

[0133] Based on the above multidimensional evaluation system and modeling results, the optimization objective and constraints are as follows:

[0134] The optimization objectives are to maximize overall energy efficiency, minimize the dynamic investment payback period, and minimize carbon dioxide emissions.

[0135]

[0136] Constraints are divided into parameter specification conditions and output boundary conditions:

[0137]

[0138] Where parm represents the parameter specification conditions, and T and p represent temperature and pressure, respectively.

[0139]

[0140] Here, up and low represent the upper and lower bounds, respectively.

[0141] The optimization algorithm (taking the second-generation fast non-dominated sorting genetic algorithm as an example) has the following computational logic:

[0142] 1) Initialization: Randomly generate an initial population and calculate the objective function value for each individual in the population.

[0143] 2) Non-dominated ranking: Individuals in the population are ranked according to non-dominance relationships. In this step, individuals are divided into several tiers, and individuals in each tier are not dominated by any other individuals in any tier. Dominance relationship is defined as follows: if individual A is not inferior to individual B in all objectives and is superior to individual B in at least one objective, then A is said to dominate B.

[0144] 3) Crowding distance calculation: Within each layer, the crowding distance of an individual is calculated, which is the distribution density of other individuals around that individual. This is estimated by calculating the neighbor distances of each individual at various objective function values. Crowding distance aims to maintain population diversity by preferentially selecting individuals with wider distributions for the next generation.

[0145] 4) Selection Operator: A binary tournament selection method is used, selecting individuals for crossover and mutation based on non-dominated ranking and crowding distance. Typically, two individuals are selected, and their non-dominated rankings are compared, with the one having the lower ranking given priority; if the rankings are the same, the one with the larger crowding distance is selected.

[0146] 5) Crossover and Mutation: Crossover and mutation operations are performed on selected individuals to generate new offspring. These operations are the main mechanisms used in genetic algorithms to explore the search space. Crossover operations are usually single-point or multi-point crossovers, while mutation may be a simple bit reversal.

[0147] 6) Environmental Selection: The parent and offspring generations are merged to form a population that is twice the size. The non-dominated ranking and crowding distance are used again to rank and select from the merged population, ultimately selecting the next generation. During the selection process, individuals with lower non-dominated ranking levels and larger crowding distances are preferentially retained.

[0148] 7) Termination Condition: The algorithm terminates if the preset number of generations or other termination conditions are reached. The non-dominated individuals in the current population are output as an approximate Pareto front dominance solution set.

[0149] Furthermore, embodiments of this application can combine the analytic hierarchy process (AHP) and the approximation ideal solution sorting method to determine the optimal configuration in the solution set, and generate a comprehensive energy system transformation and planning scheme for thermal power plants based on the optimal configuration and equipment capacity, as well as the status of various indicators at this time.

[0150] Based on the above results, this embodiment of the application obtains the calculated equipment capacity and various indicators under the configuration of a biomass gasification furnace + coal combustion on the input side and a direct supply + double-effect absorption chiller + heat network heat exchanger on the output side. This embodiment of the application ultimately calculates multiple possible configurations one by one to obtain a detailed plan under this requirement and quickly selects the optimal planning method.

[0151] It should be noted that the preset optimal conditions can be set by those skilled in the art according to the actual situation, and no specific restrictions are imposed here.

[0152] Optionally, in one embodiment of this application, determining the supply capacity based on a multidimensional evaluation index system, preset constraints, and a mathematical model includes: establishing a judgment matrix based on the multidimensional evaluation index system, and determining the importance of each index based on the judgment matrix; establishing a single-order vector for the weight hierarchy of each index based on the importance of each index, and calculating the index weights after the single-order vector for the weight hierarchy of each index passes the test; calculating the solutions in the Pareto dominance solution set that satisfy the preset optimal conditions based on the index weights, preset constraints, and the mathematical model, and determining the supply capacity based on the solutions that satisfy the preset optimal conditions.

[0153] It is understood that the solution that satisfies the preset optimal conditions in the embodiments of this application can be the optimal solution.

[0154] In actual implementation, the embodiments of this application can establish a judgment matrix based on a multi-dimensional evaluation index system, determine the importance of each index based on the judgment matrix, establish a single sorting vector of each index weight level based on the importance of each index, calculate the index weight after the single sorting vector of each index weight level passes the test, calculate the optimal solution in the Pareto dominance solution set based on the index weight, preset constraints and mathematical model, and determine the supply capacity based on the solution that satisfies the preset optimal conditions.

[0155] In this embodiment of the application, after obtaining the Pareto-dominated solution set, a set of mutually dominant optimal solutions is obtained. Therefore, it is necessary to select the optimal solution from this set. First, the analytic hierarchy process (AHP) is used to obtain the weights of each index. Then, these weights are combined with the approximation-ideal-solution ranking method to obtain the optimal solution. The detailed method is as follows:

[0156] 1) Establish a judgment matrix to determine the importance of each indicator and assess the importance among the three indicators, as shown below:

[0157]

[0158] In this matrix, W is the judgment matrix, and the three rows represent the weight vectors of the PER, DPP and Em indicators, respectively. PD represents the importance of the PER indicator relative to the DPP indicator, PE represents the importance of the PER indicator relative to the Em indicator, and DE represents the importance of the DPP indicator relative to the Em indicator.

[0159] 2) Consistency check: This checks the consistency of the judgment matrix. It ensures the logicality and consistency of the evaluation. The consistency check is performed by calculating the Consistency Index (CI) and the Consistency Ratio (CR), as shown below:

[0160]

[0161] Where, λ max Let be the largest eigenvalue of matrix W.

[0162]

[0163] Here, RI is the random consistency index, which is usually taken as 0.58 for a 3-order matrix like W.

[0164] If CR < 0.1, then consistency is acceptable.

[0165] 3) Calculate the weights. First, calculate the geometric mean of the indicators in each row, as shown below:

[0166]

[0167] The normalization of each indicator is its weight, as shown in the following formula:

[0168]

[0169] Where 'a' represents the weight of each indicator.

[0170] 4) Calculate the optimal solution in the Pareto-dominated solution set by approximating the ideal solution sorting method.

[0171] First, the Pareto optimal solution set is constructed as a decision matrix, where each row represents a Pareto dominant solution, and the three columns represent the PER, DPP, and Em indices, as shown below:

[0172]

[0173] Where A is the decision matrix, a nP a nD a nE These represent the magnitudes of the PER, DPP, and Em indices for the nth Pareto dominant solution, respectively.

[0174] Normalizing matrix A yields matrix A*, as shown below:

[0175]

[0176] Multiplying the A* matrix by the weights of each indicator yields the weighted decision matrix C, as shown below:

[0177]

[0178] Obtain the positive ideal solution c for each indicator * and negative ideal solution c 0 As shown below:

[0179] For the PER metric:

[0180] c* P =max[c 1P K c nP ]

[0181] c 0 P =min[c 1P K c nP ],

[0182] For the DPP indicator:

[0183] c * D =min[c 1D K c nD ]

[0184] c 0 D =max[c 1D K c nD ],

[0185] For the Em metric:

[0186] c * E =min[c 1E K c nE ]

[0187] c 0 E =max[c 1E K c nE ],

[0188] It should be noted that the smaller the DPP and Em indicators are, the better; therefore, the ideal solution is the minimum value.

[0189] Calculate the positive ideal solution c for each sample. * and negative ideal solution c 0 The distance is shown in the following formula:

[0190]

[0191] Finally, for each Pareto dominant solution, an evaluation reference value is obtained, as shown below:

[0192]

[0193] The maximum value in this reference is the optimal Pareto dominant solution, and the corresponding calculated data is the optimal configuration and equipment capacity of the integrated energy system of the thermal power plant under the multidimensional index.

[0194] This application's embodiments first determine the possible fuel supply configuration based on the fuel supply situation on the input side of the thermal power plant, and then determine the possible energy product output configuration based on the energy product demand situation on the output side, obtaining all configuration combinations. Further, based on the heat balance method, a mathematical model library for the entire system under all operating conditions is established. The models under this configuration combination are quickly combined into a comprehensive energy system model. Considering the corresponding constraints, under the guidance of a multi-dimensional evaluation system, the supply capacity is determined according to multi-objective optimization, analytic hierarchy process (AHP), and the approximation of ideal solution ranking method. Feasible configurations are screened, and finally, the detailed configuration for transforming the thermal power plant into a comprehensive energy system is determined, resulting in a transformation and planning scheme, as well as the various indicators at this point. This application comprehensively considers various indicators under a multi-dimensional evaluation system, various configuration situations under given fuel and demand conditions, and comprehensively considers the fuel supply and energy product demand around the power plant. It can help engineers quickly plan and construct a comprehensive energy system based on a thermal power plant, obtaining a comprehensive energy system that can maximize comprehensive benefits. Furthermore, this method can be used to transform various unspecified thermal power units and can be used to construct a comprehensive energy system based on a thermal power plant.

[0195] It should be noted that the preset optimal conditions can be set by those skilled in the art based on the actual situation, and no specific restrictions are imposed here.

[0196] Specifically, it can be combined with Figure 5 As shown, the working principle of the multi-dimensional evaluation and planning method for the integrated energy system of a thermal power plant in this application is explained in detail with a specific embodiment.

[0197] like Figure 5 As shown, embodiments of this application may include the following steps:

[0198] Step S501: Renewable fuels around the thermal power plant.

[0199] Step S502: Determine the options and constraints for renewable fuel input devices.

[0200] Step S503: Demand for energy products around thermal power plants.

[0201] Step S504: Determine the options and constraints for energy product supply equipment.

[0202] Step S505: Combine to obtain the integrated energy system configuration combination of thermal power plant: configuration 1, configuration 2, ..., configuration N.

[0203] Step S506: Model library pre-established: Mathematical model library for the thermal balance of the integrated energy system of thermal power plant under all operating conditions.

[0204] Step S507: Establish a mathematical model of the integrated energy system based on configuration combinations.

[0205] Step S508: A multi-dimensional evaluation index system, including three aspects: energy efficiency index, economic index, and environmental protection index.

[0206] Step S509: Calculate the Pareto dominance solution set based on the multi-objective optimization algorithm.

[0207] Step S510: Importance judgment matrix for each indicator.

[0208] Step S511: Establish a single sorting vector for the weight hierarchy of each indicator based on the analytic hierarchy process.

[0209] Step S512: Consistency check passed.

[0210] Step S513: Obtain the optimal Pareto dominant solution based on the sorting method for approximating the ideal solution.

[0211] Step S514: Obtain the optimal equipment capacity under the current configuration.

[0212] Step S515: Filter the configuration combinations based on the magnitude of the indices.

[0213] Step S516: Optimal configuration and equipment capacity of the integrated energy system of thermal power plant under multi-dimensional indicators.

[0214] The multi-dimensional evaluation and planning method for integrated energy systems of thermal power plants proposed in this application can evaluate various indicators of integrated energy systems based on thermal power plants from multiple perspectives. It also employs multi-objective optimization methods to establish an optimal method for the integrated energy retrofit of coal-fired power units, providing the optimal solution for the system's optimized design. This offers a valuable reference for engineering decisions regarding the integrated energy retrofit of coal-fired power units, guiding relevant policy planners and engineers in the targeted planning and construction of integrated energy systems based on thermal power plants. This addresses the problem that most related technologies focus on the design, composition, operation methods, and optimized operation methods (scheduling methods) of integrated energy systems with multiple energy inputs and outputs based on thermal power plants, while neglecting planning and evaluation, thus reducing evaluation efficiency and accuracy.

[0215] Next, referring to the accompanying drawings, a multi-dimensional evaluation and planning device for an integrated energy system of a thermal power plant, according to an embodiment of this application, is described.

[0216] Figure 6 This is a schematic diagram of the structure of the multi-dimensional evaluation and planning device for the integrated energy system of a thermal power plant, according to an embodiment of this application.

[0217] like Figure 6 As shown, the multi-dimensional evaluation and planning device 10 for the integrated energy system of the thermal power plant includes: a combination generation module 100, a model building module 200, a model generation module 300, and an evaluation and planning module 400.

[0218] Specifically, the combination generation module 100 is used to establish multiple renewable fuel input options other than coal and multiple energy product supply options other than electricity, with coal-fired power generation units as the core energy conversion equipment, and to generate a target configuration combination based on the multiple renewable fuel input options and multiple energy product supply options.

[0219] Module 200 is established to create a multi-dimensional evaluation index system based on target energy efficiency indicators, target economic indicators, and target environmental protection indicators.

[0220] The model generation module 300 is used to generate a mathematical model of the integrated energy system of a thermal power plant based on a pre-established mathematical model library of thermal balance under all operating conditions and a combination of target configurations.

[0221] The evaluation and planning module 400 is used to determine the supply capacity based on a multi-dimensional evaluation index system, preset constraints and mathematical models, and to screen feasible configurations based on the supply capacity. Based on the feasible configurations, it determines the configurations and equipment capacities that meet the preset optimal conditions, and generates the final planning scheme and index evaluation of the integrated energy system of the thermal power plant based on the configurations and equipment capacities that meet the preset optimal conditions.

[0222] Optionally, in one embodiment of this application, the multiple renewable fuel input options include at least one of biomass gasification fuel, municipal solid waste gasification fuel, dried sludge co-firing, solid waste co-firing, and biomass co-firing.

[0223] Optionally, in one embodiment of this application, the multiple energy product supply options include at least one of direct steam supply, steam-driven absorption heat pump heating, steam-driven absorption chiller cooling, and heat network heat exchanger heating.

[0224] Optionally, in one embodiment of this application, the formula for calculating the target energy efficiency index is:

[0225]

[0226] Where Q represents energy output, S, C, and H subscripts represent the output of steam, cold, and hot energy products, respectively, P represents electricity output, and η represents the output of electricity. Boil B represents boiler efficiency, and B represents boiler fuel consumption.

[0227] The formula for calculating the target economic performance indicators is as follows:

[0228]

[0229] Where DPP is the dynamic payback period, CI and CO represent cash inflows and outflows, respectively, and r dis Here, y represents the discount rate, and y represents the number of years the project has been running.

[0230] The formula for calculating the target environmental performance indicators is as follows:

[0231]

[0232] Among them, Em coal and Em re These represent the carbon dioxide emission factors for coal and renewable fuels, respectively; B represents boiler fuel consumption; and Q represents the carbon dioxide emission factor for renewable fuels. re η represents the renewable fuel energy input, t represents the average annual operating time, and η represents the energy input. Boil For boiler efficiency, Δ c H s For the lower calorific value of coal, η re For the efficiency of renewable fuel conversion devices, h re This refers to the enthalpy value of renewable fuels.

[0233] Optionally, in one embodiment of this application, the evaluation planning module 400 includes: a setup unit, a calculation unit, and a determination unit.

[0234] The establishment unit is used to establish a judgment matrix based on a multi-dimensional evaluation index system, and to determine the importance of each index according to the judgment matrix.

[0235] The calculation unit is used to establish a single ranking vector of weight levels for each indicator based on the importance of each indicator, and to calculate the indicator weights after the single ranking vector of weight levels for each indicator passes the verification.

[0236] The determination unit is used to calculate the solutions in the Pareto dominance solution set that satisfy the preset optimal conditions based on the index weights, preset constraints and mathematical models, and to determine the supply capacity based on the solutions that satisfy the preset optimal conditions.

[0237] The explanation of the example also applies to the multi-dimensional evaluation and planning device for the integrated energy system of a thermal power plant in this embodiment, and will not be repeated here.

[0238] The multi-dimensional evaluation and planning device for integrated energy systems of thermal power plants proposed in this application can evaluate various indicators of integrated energy systems based on thermal power plants from multiple perspectives. It employs multi-objective optimization methods to establish an optimal method for the integrated energy retrofit of coal-fired power units, providing the optimal solution for the system's optimized design. This offers effective reference for engineering decisions regarding the integrated energy retrofit of coal-fired power units, aiming to guide relevant policy planners and engineers in the targeted planning and construction of integrated energy systems based on thermal power plants. This addresses the problem that most related technologies focus on the design, composition, operation methods, and optimized operation methods (scheduling methods) of integrated energy systems with multiple energy inputs and outputs based on thermal power plants, but neglect planning and evaluation, thus reducing evaluation efficiency and accuracy.

[0239] Figure 7 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include:

[0240] The memory 701, the processor 702, and the computer program stored on the memory 701 and executable on the processor 702.

[0241] When the processor 702 executes the program, it implements the multi-dimensional evaluation and planning method for the integrated energy system of a thermal power plant provided in the above embodiments.

[0242] Furthermore, electronic devices also include:

[0243] Communication interface 703 is used for communication between memory 701 and processor 702.

[0244] The memory 701 is used to store computer programs that can run on the processor 702.

[0245] The memory 701 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0246] If the memory 701, processor 702, and communication interface 703 are implemented independently, then the communication interface 703, memory 701, and processor 702 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 7 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0247] Optionally, in a specific implementation, if the memory 701, processor 702, and communication interface 703 are integrated on a single chip, then the memory 701, processor 702, and communication interface 703 can communicate with each other through an internal interface.

[0248] The processor 702 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0249] This embodiment also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described multi-dimensional evaluation and planning method for the integrated energy system of a thermal power plant.

[0250] This application also provides a computer program product storing a computer program that, when executed by a processor, implements the above-described multi-dimensional evaluation and planning method for a thermal power plant's integrated energy system.

[0251] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0252] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0253] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0254] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0255] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0256] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it includes one or a combination of the steps of the method embodiments.

[0257] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0258] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A multi-dimensional evaluation and planning method for a thermal power plant's integrated energy system, characterized in that, Includes the following steps: Using coal-fired power generating units as the core energy conversion equipment, establish multiple renewable fuel input options other than coal and multiple energy product supply options other than electricity, and generate a target configuration combination based on the multiple renewable fuel input options and the multiple energy product supply options; Establish a multi-dimensional evaluation index system based on target energy efficiency indicators, target economic indicators, and target environmental protection indicators; Based on the pre-established mathematical model library of thermal balance full-condition operation of integrated energy system of thermal power plant and the target configuration combination, a mathematical model of integrated energy system of thermal power plant is generated. The supply capacity is determined based on the multidimensional evaluation index system, preset constraints and the mathematical model, and feasible configurations are selected based on the supply capacity. The configurations and equipment capacities that meet the preset optimal conditions are determined based on the feasible configurations, and the final planning scheme and index evaluation of the thermal power plant's integrated energy system are generated based on the configurations and equipment capacities that meet the preset optimal conditions. The step of determining the supply capacity based on the multidimensional evaluation index system, preset constraints, and the mathematical model includes: Based on the aforementioned multidimensional evaluation index system, a judgment matrix is ​​established, and the importance of each index is determined according to the judgment matrix. Based on the importance of each indicator, a single ranking vector of the weight hierarchy of each indicator is established, and the indicator weight is calculated after the single ranking vector of the weight hierarchy of each indicator passes the test. Based on the index weights, the preset constraints, and the mathematical model, calculate the solutions in the Pareto dominance solution set that satisfy the preset optimal conditions, and determine the supply capacity based on the solutions that satisfy the preset optimal conditions.

2. The method according to claim 1, characterized in that, The multiple renewable fuel input options include at least one of biomass gasification fuel, municipal solid waste gasification fuel, dried sludge co-firing, solid waste co-firing, and biomass co-firing.

3. The method according to claim 1, characterized in that, The various energy product supply options include at least one of the following: direct steam supply, steam-driven absorption heat pump heating, steam-driven absorption chiller cooling, and heat network heat exchanger heating.

4. The method according to claim 1, characterized in that, The formula for calculating the target energy efficiency index is as follows: ， in, Q The values ​​for S, C, and H represent the output of energy products, specifically steam, cold, and heat, respectively. P For power output, η Boil For boiler efficiency, B This refers to boiler fuel consumption. The formula for calculating the target economic indicators is as follows: ， Where DPP is the dynamic payback period, CI and CO represent cash inflows and outflows, respectively. r dis For the discount rate, y The number of years the project has been in operation; The formula for calculating the target environmental protection index is as follows: ， in, Em coal and Em re These are the carbon dioxide emission factors for coal and renewable fuels, respectively. B This refers to the boiler's fuel consumption. Q re For renewable fuel energy input, t The average annual running time, η Boil For the boiler efficiency, Δ c H s It has the lower calorific value of coal. η re For the efficiency of renewable fuel conversion devices. h re This refers to the enthalpy value of renewable fuels.

5. A multi-dimensional evaluation and planning device for a thermal power plant's integrated energy system, characterized in that, The multi-dimensional evaluation and planning method for the integrated energy system of a thermal power plant as described in any one of claims 1-4 includes: The combination generation module is used to establish multiple renewable fuel input options other than coal and multiple energy product supply options other than electricity, with coal-fired power generation units as the core energy conversion equipment, and generate a target configuration combination based on the multiple renewable fuel input options and the multiple energy product supply options. A module is established to create a multi-dimensional evaluation index system based on target energy efficiency indicators, target economic indicators, and target environmental protection indicators; The model generation module is used to generate a mathematical model of the integrated energy system of a thermal power plant based on a pre-established mathematical model library of thermal balance under all operating conditions of the integrated energy system of a thermal power plant and the target configuration combination. The evaluation and planning module is used to determine the supply capacity based on the multi-dimensional evaluation index system, preset constraints and the mathematical model, and to screen out feasible configurations based on the supply capacity, and to determine the configuration and equipment capacity that meet the preset optimal conditions based on the feasible configurations, and to generate the final planning scheme and index evaluation status of the thermal power plant's integrated energy system based on the configuration and equipment capacity that meet the preset optimal conditions.

6. The apparatus according to claim 5, characterized in that, The multiple renewable fuel input options include at least one of biomass gasification fuel, municipal solid waste gasification fuel, dried sludge co-firing, solid waste co-firing, and biomass co-firing.

7. An electronic device, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the program to implement the multidimensional evaluation and planning method for an integrated energy system of a thermal power plant as described in any one of claims 1-4.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the multidimensional evaluation and planning method for the integrated energy system of a thermal power plant as described in any one of claims 1-4.

9. A computer program product, comprising a computer program, characterized in that, The computer program is executed to implement the multidimensional evaluation and planning method for the integrated energy system of a thermal power plant as described in any one of claims 1-4.

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