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

Abstract

The invention relates to a multi-dimensional evaluation planning method and device for a thermal power plant integrated energy system, and the method comprises the steps: taking a coal-fired power generation unit as a core energy conversion device, and building a plurality of renewable fuel input alternative items except fire coal and a plurality of energy product supply alternative items except electric power; establishing a multi-dimensional evaluation index system; generating a mathematical model of the thermal power plant integrated energy system based on a pre-established thermal balance all-condition mathematical model library of the thermal power plant integrated energy system and the target configuration combination; and generating a final planning scheme and an index evaluation condition of the thermal power plant integrated energy system according to the configuration meeting the preset optimal condition and the equipment capacity. According to the embodiment of the invention, various indexes of the comprehensive energy system based on the thermal power plant are evaluated from multiple angles, and a multi-objective optimization method and the like are adopted, so that the optimization method for comprehensive energy transformation of the coal-fired thermal power generating unit is established, and effective reference is provided for engineering decision-making of comprehensive energy transformation of the coal-fired thermal power generating unit.

Description

Technical Field

[0001] The present application relates to the technical field of integrated energy systems, and in particular to a multi-dimensional evaluation planning method and device for an integrated energy system of a thermal power plant. Background Art

[0002] In recent years, the proportion of renewable energy power generation has increased year by year. Therefore, the annual utilization hours of thermal power units will drop significantly in the future. Most thermal power units will be in low-load operation for a long time, the unit efficiency will drop significantly, and the cost of power generation will increase year by year.

[0003] However, according to statistics, about 50% of my country's power installed capacity is still coal-driven thermal power units, and there is still a huge number of coal-fired thermal power units. At this stage, coal-fired thermal power is an important guarantee for dealing with the intermittent and volatile nature of renewable energy, and has played a huge role in stabilizing power supply. Under the impact of renewable energy and the pressure of coal-fired thermal power units being retired, a large number of coal-fired thermal power units are facing difficulties in survival. If coal-fired thermal power units continue to rely on simple power supply services, they will find it difficult to bear the high costs, and they will not be able to adapt to the actual needs of my country's energy transformation and energy conservation and emission reduction. Whether the transformation problem of a large number of coal-fired thermal power units can be solved will be one of the key factors that determine the success or failure of the low-carbon transformation of the power industry.

[0004] The thermal power plants in the relevant technologies can take advantage of the development momentum and policy orientation of integrated energy services, combine their own advantages, and build an integrated energy service system based on the source side of the thermal power plants. By coupling various new energy conversion technologies and energy storage technologies, they can achieve multi-energy coupling and coordinated supply, comprehensive energy cascade utilization, renewable energy coupling utilization and efficient utilization of electricity peak shaving and valley filling in the region. This can not only improve the profitability of the thermal power plants themselves, but also reduce the energy costs of enterprises in the region and improve energy utilization efficiency. It is of great significance to improving the economy and environmental protection of existing thermal power plants.

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

[0006] The present application provides a multi-dimensional evaluation planning method and device for an integrated energy system of a thermal power plant, in order to solve the problem that most of the related technologies consider the design, composition, operation method, optimized operation method (scheduling method) and other aspects of an integrated energy system based on multi-energy input and multi-energy output of a thermal power plant, but do not involve planning and evaluation, thereby reducing the evaluation efficiency and accuracy.

[0007] The first aspect of the present application provides a multidimensional evaluation planning method for an integrated energy system of a thermal power plant, comprising the following steps: taking a coal-fired power generation unit as a core energy conversion device, establishing a variety of renewable fuel input options other than coal and a variety of 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 multidimensional evaluation index system based on target energy efficiency indicators, target economic indicators and target environmental indicators; generating a mathematical model of the integrated energy system of the thermal power plant based on a pre-established mathematical model library of the full operating conditions of the thermal balance of the integrated energy system of the thermal power plant and the target configuration combination; determining the supply capacity based on the multidimensional evaluation index system, preset constraints and the mathematical model, and screening out feasible configurations based on the supply capacity, and determining a configuration and equipment capacity that meet preset optimal conditions based on the feasible configuration, and generating a final planning scheme and indicator evaluation of the integrated energy system of the thermal power plant based on the configuration and equipment capacity that meet the preset optimal conditions.

[0008] Optionally, in one embodiment of the present application, the plurality of renewable fuel input options include at least one of biomass gasification fuel, domestic waste gasification fuel, dried sludge co-combustion, solid waste co-combustion and biomass co-combustion.

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

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

[0011]

[0012] Where Q is the energy output, S, C, and H subscripts represent the output of steam, cold, and heat energy products, respectively, P is the power output, and η Boil is the boiler efficiency, B is the boiler fuel consumption;

[0013] The calculation formula of the target economic index is:

[0014]

[0015] Among them, DPP is the dynamic investment payback period, CI and CO represent cash inflow and outflow respectively, r dis is the discount rate, y is the number of years the project will operate;

[0016] The calculation formula of the target environmental performance index is:

[0017]

[0018] Among them, Em coal and Em re are the carbon dioxide emission factors of coal and renewable fuels, B is the boiler fuel consumption, Q re is the renewable fuel energy input, t is the annual average operating time, η Boil is the boiler efficiency, Δ c H s is the low calorific value of coal, η re is the efficiency of the renewable fuel conversion unit, h re is the enthalpy of renewable fuel.

[0019] Optionally, in one embodiment of the present application, the supply capacity is determined according to the multidimensional evaluation index system, preset constraints and the mathematical model, including: establishing a judgment matrix based on the multidimensional evaluation index system, and determining the importance of each indicator according to the judgment matrix; establishing a single-ordered vector of each indicator weight level based on the importance of each indicator, and calculating the indicator weight after the single-ordered vector of each indicator weight level is tested; calculating the solution that meets the preset optimal condition in the Pareto dominated solution set based on the indicator weight, the preset constraints and the mathematical model, and determining the supply capacity according to the solution that meets the preset optimal condition.

[0020] The second aspect of the present application provides a multidimensional evaluation planning device for an integrated energy system of a thermal power plant, including: a combination generation module, which is used to establish a variety of renewable fuel input options other than coal and a variety of energy product supply options other than electricity with a coal-fired power generation unit 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; an establishment module, which is used to establish a multidimensional evaluation index system according to target energy efficiency indicators, target economic indicators and target environmental indicators; a model generation module, which is used to generate a mathematical model of the integrated energy system of the thermal power plant based on a pre-established mathematical model library of the full operating conditions of the thermal balance of the integrated energy system of the thermal power plant and the target configuration combination; an evaluation planning module, which is used to determine the supply capacity according to the multidimensional evaluation index system, preset constraints and the mathematical model, and to screen out feasible configurations according to the supply capacity, and to determine the configuration and equipment capacity that meet the preset optimal conditions according to the feasible configuration, and to generate the final planning scheme and indicator evaluation of the integrated energy system of the thermal power plant according to the configuration and equipment capacity that meet the preset optimal conditions.

[0021] Optionally, in one embodiment of the present application, the plurality of renewable fuel input options include at least one of biomass gasification fuel, domestic waste gasification fuel, dried sludge co-combustion, solid waste co-combustion and biomass co-combustion.

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

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

[0024]

[0025] Where Q is the energy output, S, C, and H subscripts represent the output of steam, cold, and heat energy products, respectively, P is the power output, and η Boil is the boiler efficiency, B is the boiler fuel consumption;

[0026] The calculation formula of the target economic index is:

[0027]

[0028] Among them, DPP is the dynamic investment payback period, CI and CO represent cash inflow and outflow respectively, r dis is the discount rate, y is the number of years the project will operate;

[0029] The calculation formula of the target environmental performance index is:

[0030]

[0031] Among them, Em coal and Em re are the carbon dioxide emission factors of coal and renewable fuels, B is the boiler fuel consumption, Q re is the renewable fuel energy input, t is the annual average operating time, η Boil is the boiler efficiency, Δ c H s is the low calorific value of coal, η re is the efficiency of the renewable fuel conversion unit, h re is the enthalpy of renewable fuel.

[0032] Optionally, in one embodiment of the present application, the evaluation planning module includes: an establishment unit, used to establish a judgment matrix based on the multidimensional evaluation index system, and determine the importance of each indicator according to the judgment matrix; a calculation unit, used to establish a hierarchical single-order vector of each indicator weight based on the importance of each indicator, and calculate the indicator weight after the hierarchical single-order vector of each indicator weight passes the test; a determination unit, used to calculate a solution that meets a preset optimal condition in the Pareto dominated solution set based on the indicator weight, the preset constraints and the mathematical model, and determine the supply capacity according to the solution that meets the preset optimal condition.

[0033] The third aspect of the present application provides an electronic device, comprising: 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 multidimensional assessment and planning method for the integrated energy system of a thermal power plant as described in the above embodiment.

[0034] The fourth aspect embodiment of the present application provides a computer-readable storage medium, which stores a computer program, and when the program is executed by a processor, it implements the above-mentioned multidimensional evaluation and planning method for the integrated energy system of a thermal power plant.

[0035] The fifth aspect of the present application provides a computer program product, which stores a computer program that, when executed by a processor, implements the above-mentioned multidimensional assessment and planning method for the integrated energy system of a thermal power plant.

[0036] The embodiment of the present application can evaluate various indicators of the comprehensive energy system based on thermal power plants from multiple perspectives, and adopt methods such as multi-objective optimization to establish the optimization method for the comprehensive energy transformation of coal-fired thermal power units, give the optimal solution for the optimization design of the system, and provide an effective reference for the engineering decision-making of the comprehensive energy transformation of coal-fired thermal power units, so as to guide relevant policy planners and engineering and technical personnel to plan and build comprehensive energy systems based on thermal power plants in a targeted manner. Thus, it solves the problem that most of the related technologies consider the design, composition, operation method, and optimized operation method (dispatching method) of the comprehensive energy system with multiple energy inputs and multiple energy outputs based on thermal power plants, but do not involve planning and evaluation, which reduces the problem of evaluation efficiency and accuracy.

[0037] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0039] Figure 1 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 the present application;

[0040] Figure 2 A schematic diagram of a possible configuration of a comprehensive energy system of a thermal power plant according to an embodiment of the present application;

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

[0042] Figure 4 A schematic diagram of a comprehensive energy system configuration of a thermal power plant according to an embodiment of the present application;

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

[0044] Figure 6 A schematic diagram of the structure of a multi-dimensional evaluation and planning device for an integrated energy system of a thermal power plant provided according to an embodiment of the present application;

[0045] Figure 7 It is a schematic diagram of the structure of an electronic device provided according to an embodiment of the present application. DETAILED DESCRIPTION

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

[0047] The following is a description of the multidimensional evaluation planning method and device of the comprehensive energy system of a thermal power plant of the embodiment of the present application with reference to the accompanying drawings. Most of the related technologies mentioned in the above background technology consider the design, composition, operation method, optimized operation method (dispatching method) and other aspects of the comprehensive energy system based on the multi-energy input and multi-energy output of the thermal power plant, but do not involve planning and evaluation, which reduces the problem of evaluation efficiency and accuracy. The present application provides a multidimensional evaluation planning method for the comprehensive energy system of a thermal power plant, in which various indicators of the comprehensive energy system based on the thermal power plant can be evaluated from multiple angles, and a multi-objective optimization method and other methods are adopted to establish an optimization method for the comprehensive energy transformation of coal-fired thermal power units, give the optimal solution for the optimization design of the system, and provide an effective reference for the engineering decision-making of the comprehensive energy transformation of coal-fired thermal power units, so as to guide relevant policy planners and engineering and technical personnel to plan and build a comprehensive energy system based on a thermal power plant in a targeted manner. Thus, it solves the problem that most of the related technologies consider the design, composition, operation method, optimized operation method (dispatching method) and other aspects of the comprehensive energy system based on the multi-energy input and multi-energy output of the thermal power plant, but do not involve planning and evaluation, which reduces the problem of evaluation efficiency and accuracy.

[0048] Specifically, Figure 1 A flowchart of a multi-dimensional evaluation and planning method for an integrated energy system of a thermal power plant provided in an embodiment of the present application.

[0049] Before introducing the multi-dimensional evaluation and planning method for the integrated energy system of a thermal power plant proposed in the embodiment of the present application, the relevant background is first introduced:

[0050] In recent years, the integrated energy system with multiple energy sources has become the focus of research. Integrated energy service is a new type of energy service mode to meet the diversified energy production and consumption of end users. It refers to a system that can supply steam, cold, heat, electricity and other forms of energy products to users in the region by one or a group of prime movers, providing users with "one-stop, all-round, customized" energy solutions, covering energy integration planning, construction, investment, operation and evaluation, etc., with the characteristics of high efficiency, integration and openness. In the process of planning, construction and operation, the integrated energy system organically coordinates and optimizes the production, transmission, distribution, conversion, storage and consumption of multiple energy sources to form an integrated energy production, supply and marketing system that meets the needs of multiple energy products such as cold, heat, electricity and steam. The integrated energy system can use advanced management methods and scientific and technological means to integrate different energy sources in the energy system, so that different energy subsystems can coordinate planning, complement each other, and thus realize the cascade utilization of energy and improve energy utilization efficiency.

[0051] Regional integrated energy systems are widely used in industries such as industry and construction. Compared with production-based systems, integrated energy systems have great advantages in terms of energy efficiency and economy. At present, social development has brought about an increase in energy consumption in various forms. For example, the food and chemical industries have a large demand for steam loads. The development of the Internet industry has brought about a large demand for data processing and storage, which has generated a large demand for electricity and cooling loads. In addition, the increase in urban scale has also brought about a greater demand for heating.

[0052] like Figure 1 As shown, the multidimensional evaluation planning method of the integrated energy system of the thermal power plant includes the following steps:

[0053] In step S101, with the coal-fired power generation unit as the core energy conversion equipment, a variety of renewable fuel input options other than coal and a variety of 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 the multiple energy product supply options.

[0054] During the actual implementation process, the embodiment of the present application can establish planning scheme options for an integrated energy system based on a thermal power plant according to the surrounding conditions of the thermal power plant, take the coal-fired power generation unit as the core energy conversion equipment, and combine the current renewable fuel input technology of the coal-fired thermal power unit to establish a variety of renewable fuel input options other than coal on the fuel input side of the coal-fired unit. Combined with the current steam extraction technology and various steam-driven energy conversion equipment, establish a variety of energy product supply options other than electricity on the energy product output side of the coal-fired unit, and generate a target configuration combination based on the multiple renewable fuel input options and the multiple energy product supply options.

[0055] For example, Figure 2 As shown in the figure, a power plant needs to supply steam, cold and heat at the same time in addition to power supply. Therefore, on the output side, steam is supplied directly, cold is supplied by single-effect or double-effect absorption refrigeration units, and heat is supplied by absorption heat pumps or heat network heat exchangers. According to the steam parameters required by each device, steam is extracted from a certain point in the power plant (here high-pressure cylinder exhaust steam, reheated steam and medium-pressure cylinder exhaust steam are selected) to drive the energy conversion equipment. Then there are 4 possible configurations on the output side (direct supply + single-effect absorption refrigerator + absorption heat pump, direct supply + single-effect absorption refrigerator + heat network heat exchanger, direct supply + double-effect absorption refrigerator + absorption heat pump, direct supply + double-effect absorption refrigerator + heat network heat exchanger), among which the original structure of the thermal power plant is as follows: Figure 3 As shown in Figure 2, the comprehensive energy system configuration of a thermal power plant is as follows: Figure 4 shown.

[0056] At the same time, according to the needs of surrounding users, the required steam parameters are 10-100 tons per hour, temperature of 230 degrees Celsius, pressure of 1.2 MPa, cooling load of 0-50 MW, temperature of 2 degrees Celsius, heating load of 20-80 MW, temperature of 95 degrees Celsius, which are used as constraints for subsequent calculations.

[0057] In addition, there is a large demand for biomass consumption around the power plant, so on the input side, there are two types of equipment: biomass gasifier and biomass co-combustion, so there are two possible configurations (coal-fired + biomass gasifier, coal-fired + biomass co-combustion). Through the combination of the input side and the output side, there are a total of 8 possible integrated energy system configurations.

[0058] At the same time, according to the surrounding biomass supply, the biomass supply is 10-20 tons per hour, and the element analysis is provided by the actual supply situation, which is used as a constraint for subsequent calculations.

[0059] The embodiments of the present application can be input by a variety of fuels. The integrated energy system based on the thermal power plant can largely absorb renewable fuels around the power plant, such as biomass, urban garbage, dried sludge, etc., reduce the consumption of fossil energy such as coal and natural gas, improve the economic performance of the power plant, and adapt to the current environmental protection requirements; through the supply of a variety of energy products, it can provide users with energy products in various forms such as cold, heat, electricity, and steam. The integrated energy system based on the thermal power plant can meet the various energy needs of the parks around the thermal power plant, improve the energy efficiency level and comprehensive energy utilization rate of the thermal power plant, reduce the energy efficiency loss caused by low-load operation, and increase economic benefits.

[0060] Optionally, in one embodiment of the present application, the plurality of renewable fuel input options include at least one of biomass gasification fuel, domestic waste gasification fuel, dried sludge co-combustion, solid waste co-combustion and biomass co-combustion.

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

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

[0063] In the actual implementation process, the embodiments of the present application can form a variety of energy product supply options other than electricity based on direct steam supply, steam-driven absorption heat pump heating, steam-driven absorption refrigerator cooling and heat network heat exchanger heating, thereby realizing a variety of energy supplies other than electricity, thereby improving energy utilization efficiency and system flexibility.

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

[0065] It is understandable that the embodiments of the present application take into account the complexity of the integrated energy system. The planning of the integrated energy system before construction is particularly important, and it is necessary to comprehensively consider multiple aspects such as the thermal efficiency, economy, and environmental protection of the system.

[0066] Specifically, the embodiment of the present application can establish a multi-dimensional evaluation system, including three aspects: target energy efficiency indicators, target economic indicators and target environmental protection indicators. The indicators of various aspects of the comprehensive energy system based on the thermal power plant are evaluated from multiple angles. Through multi-dimensional analysis, the various benefits of transforming the thermal power plant into a comprehensive energy system of a certain configuration are comprehensively, truly and accurately evaluated. An evaluation theory for the comprehensive energy system of the thermal power plant is established, which is conducive to engineering and technical personnel to quickly evaluate the value of the comprehensive energy transformation plan for the thermal power plant and improve the evaluation efficiency and accuracy.

[0067] Among them, in one embodiment of the present application, the energy efficiency evaluation index based on the first law of thermodynamics can analyze the energy utilization of the 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 of the target energy efficiency index is:

[0068]

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

[0070] The economic performance index adopts the dynamic investment payback period index, which indicates the time required for the net profit to recover the initial investment cost. It can evaluate the profitability and capital recovery of the project. The calculation formula of the target economic performance index is:

[0071]

[0072] Among them, DPP is the dynamic investment payback period, CI and CO represent cash inflow and outflow respectively, r dis is the discount rate, and y is the number of years the project will operate.

[0073] The cash inflow CI is the annual total income ATI, which can be calculated by 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 are the energy product prices respectively, and t is the annual average operating time.

[0076] CO is the cash outflow, including:

[0077] 1) Capital expenditure (TCE) for coal-fired power plant transformation. This cost is a one-time cost and can be calculated by the following formula:

[0078] TCE=∑IC+CTC+PC,

[0079] Among them, IC is the equipment purchase cost, CTC is the emergency cost, and PC is the license cost, which can be expressed as:

[0080] CTC=ε CTC ∑IC,

[0081] PC=ε PC ∑IC,

[0082] Among them, ε CTC Expressed as the failure cost ratio of the equipment, ε PC Expressed as the allowable cost rate of the equipment.

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

[0084]

[0085] Among them, ε FOE Expressed as the equipment operation and maintenance cost rate, C coal is the coal price, Δ c H s is the low calorific value of coal, η Boil is the boiler efficiency, Q re is the renewable fuel energy input (kW), Cre is the price of renewable fuel, h re is the enthalpy of renewable fuel (kJ / kg), η re for renewable fuel conversion unit efficiency.

[0086] The environmental performance index is calculated using carbon dioxide emissions. The calculation formula for the target environmental performance index is:

[0087]

[0088] Among them, Em is the annual carbon dioxide emissions, Em coal and Em re are the carbon dioxide emission factors of coal and renewable fuels, B is the boiler fuel consumption, Q re is the renewable fuel energy input, t is the annual average operating time, η Boil is the boiler efficiency, Δ c H s is the low calorific value of coal, η re is the efficiency of the renewable fuel conversion unit, h re is the enthalpy of renewable fuel.

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

[0090] During the actual implementation process, the embodiment of the present application can generate a mathematical model of the comprehensive energy system of a thermal power plant based on a pre-established mathematical model library of the full operating conditions of the thermal balance of the comprehensive energy system of a thermal power plant and a target configuration combination, thereby optimizing energy utilization efficiency and improving system flexibility and economy.

[0091] For example, take the case configuration: the input side is biomass gasifier + coal, and the output side is direct supply + double-effect absorption chiller + heat network heat exchanger.

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

[0093] The mathematical model of the heat balance of the comprehensive energy system of a thermal power plant under full working conditions is as follows:

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

[0095] For Regenerator 1 - Regenerator 4:

[0096]

[0097] For Regenerator 5 - Regenerator 8:

[0098]

[0099] Among them, α i is the extraction coefficient, i.e. the ratio of extraction steam to feed water flow, δ i , λ i is the enthalpy change related to the inlet and outlet of the regenerative heater, which 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 is the outlet water enthalpy of each level of regenerative heater (kJ / kg), h i is the extraction enthalpy (kJ / kg), h di is the hydrophobic enthalpy of each level of regenerative heater (kJ / kg).

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

[0105]

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

[0107] Among them, the reduction in work done by steam extraction in the comprehensive energy system is:

[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] Among them, HPT Exhaust, Reheat and IPT Exhaust represent three extraction points respectively: high-pressure cylinder exhaust, reheat steam and intermediate-pressure cylinder exhaust. By combining the above formula, inputting the extraction volume supplied to the integrated energy system and the main steam flow, 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 is the renewable fuel energy input (kW), m coal is the coal consumption (kg).

[0117] Q re It can be expressed as:

[0118] Q re =η re m re h re ,

[0119] Among them, m re is the renewable fuel consumption (kg).

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

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

[0122]

[0123] The cooling product output model is as follows:

[0124]

[0125] The heat product output model is as follows:

[0126]

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

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

[0129] In step S104, the supply capacity is determined according to the multidimensional evaluation index system, preset constraints and mathematical models, and feasible configurations are screened out according to the supply capacity, and the configuration and equipment capacity that meet the preset optimal conditions are determined according to the feasible configurations, and the final planning scheme and indicator evaluation of the comprehensive energy system of the thermal power plant are generated according to the configuration and equipment capacity that meet the preset optimal conditions.

[0130] It can be understood that the configuration that meets the preset optimal conditions in the embodiments of the present application may be the optimal configuration.

[0131] As a possible implementation method, the embodiment of the present application can take into account the corresponding constraints and, under the guidance of a multidimensional evaluation system, determine the supply capacity based on multi-objective optimization, hierarchical analysis method, and approximate ideal solution sorting method, screen feasible configurations, and determine the optimal configuration and equipment capacity based on the feasible configurations.

[0132] Among them, the embodiment of the present application can calculate the Pareto dominated solution set based on a multi-objective optimization algorithm under the constraints of boundary conditions.

[0133] According to the above multi-dimensional evaluation system and modeling results, the optimization objectives and constraints are:

[0134] The optimization goals are to maximize comprehensive energy utilization, minimize 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 is the parameter specification condition, T and p are temperature and pressure.

[0139]

[0140] Among them, up and low represent the upper bound and lower bound respectively.

[0141] The calculation logic of the optimization algorithm (taking the second-generation fast non-dominated sorting genetic algorithm as an example) is:

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

[0143] 2) Non-dominated sorting: Sort the individuals in the population according to the non-dominated relationship. In this step, the individuals are divided into several levels, and the individuals in each level are not dominated by other individuals in any level. The definition of dominance relationship is: if individual A is not inferior to individual B in all goals, and is superior to individual B in at least one goal, then A is said to dominate B.

[0144] 3) Crowding distance calculation: Within each layer, the crowding distance of an individual is calculated, that is, the distribution density of other individuals around the individual. This is estimated by calculating the distance between neighbors of each individual at each objective function value. The crowding distance aims to maintain the diversity of the population and give priority to individuals with a wider distribution to enter the next generation.

[0145] 4) Selection operator: Use binary tournament selection to select individuals for crossover and mutation based on non-dominated ranking and crowding distance. Usually, two individuals are selected, their non-dominated ranks are compared, and the one with the lower rank is given priority; if the ranks are the same, the one with the larger crowding distance is selected.

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

[0147] 6) Environmental selection: Merge the parent and offspring to form a population of doubled size. Use non-dominated sorting and crowding distance to sort and select the merged population again, and finally select the next generation of population. During the selection process, individuals with low non-dominated levels and large crowding distances are retained first.

[0148] 7) Termination condition: If the preset evolutionary generations or other termination conditions are reached, the algorithm terminates. The non-dominated individuals in the current population are output as the approximate Pareto front dominated solution set.

[0149] Furthermore, the embodiment of the present application can combine the hierarchical analysis method and the approximate ideal solution sorting method to determine the optimal configuration in the solution set, and generate a comprehensive energy system transformation and planning plan for the thermal power plant based on the optimal configuration and equipment capacity, as well as the various indicators at this time.

[0150] Based on the above results, the embodiment of the present application obtains the equipment capacity calculated under the configuration of biomass gasifier + coal combustion on the input side and direct supply + double-effect absorption chiller + heat network heat exchanger on the output side, as well as the various indicators at this time. The embodiment of the present application finally calculates multiple configurations one by one, and can obtain a detailed plan under this demand, and quickly screen and obtain 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 actual conditions and are not specifically limited here.

[0152] Optionally, in one embodiment of the present application, the supply capacity is determined according to a multidimensional evaluation index system, preset constraints and a mathematical model, including: establishing a judgment matrix based on the multidimensional evaluation index system, and determining the importance of each indicator based on the judgment matrix; establishing a single-ordered vector of each indicator weight level based on the importance of each indicator, and calculating the indicator weight after the single-ordered vector of each indicator weight level is tested and passed; calculating the solution that meets the preset optimal conditions in the Pareto dominated solution set based on the indicator weight, preset constraints and the mathematical model, and determining the supply capacity according to the solution that meets the preset optimal conditions.

[0153] It can be understood that in the embodiments of the present application, the solution that meets the preset optimal conditions can be the optimal solution.

[0154] In the actual implementation process, the embodiments of the present application can establish a judgment matrix based on a multidimensional evaluation index system, and determine the importance of each indicator according to the judgment matrix, and establish a single-ordered vector of each indicator weight level based on the importance of each indicator, and after the single-ordered vector of each indicator weight level is tested and passed, calculate the indicator weight, calculate the optimal solution in the Pareto dominated solution set based on the indicator weight, preset constraints and mathematical model, and determine the supply capacity according to the solution that meets the preset optimal conditions.

[0155] Among them, after obtaining the Pareto dominated solution set, the embodiment of the present application can obtain a set of mutually dominated optimal solutions, so it is necessary to select the optimal solution from them. First, the hierarchical analysis method is used to obtain the weight of each indicator, and the weight is combined with the approximate ideal solution sorting method to obtain the optimal solution. The detailed method is as follows:

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

[0157]

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

[0159] 2) Consistency test, check the consistency of the judgment matrix. Ensure the logic and consistency of the evaluation. The consistency test is completed by calculating the consistency index (CI) and consistency ratio (CR), as shown below:

[0160]

[0161] Among them, λ max is the largest eigenvalue of the matrix W.

[0162]

[0163] Among them, RI is the random consistency index, which is usually 0.58 for a third-order matrix such as W.

[0164] If CR < 0.1, the 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 normalized index of each row is its weight, as shown in the following formula:

[0168]

[0169] Among them, a is 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. Each row in the matrix is ​​a Pareto dominant solution, and the three columns are PER, DPP and Em indicators, as shown below:

[0172]

[0173] Among them, A is the decision matrix, a nP 、a nD 、a nE They respectively represent the PER, DPP and Em indicators of the nth Pareto dominance solution.

[0174] The A matrix is ​​normalized to obtain the A* matrix, as shown below:

[0175]

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

[0177]

[0178] Get the positive ideal solution c for each index * and negative ideal solution c 0 , as shown below:

[0179] For the PER indicator:

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

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

[0182] For DPP indicator:

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

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

[0185] For the Em indicator:

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

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

[0188] It should be noted that the smaller the DPP index and the Em index, the better, so 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 as follows:

[0190]

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

[0192]

[0193] Among the reference values, the maximum value is the optimal Pareto dominant solution, and the corresponding calculated data is the optimal configuration and equipment capacity under the multi-dimensional indicators of the comprehensive energy system of the thermal power plant.

[0194] The embodiment of the present application can first determine the possible configuration of fuel supply according to the fuel supply situation on the input side of the thermal power plant, determine the possible configuration of energy product output according to the demand situation of energy products on the output side, and obtain all configuration combinations. Further, a mathematical model library of the system full working condition is established based on the heat balance method, and the models under the configuration combination are quickly combined into a comprehensive energy system model. Considering the corresponding constraints, under the guidance of the multidimensional evaluation system, the supply capacity is determined according to multi-objective optimization, hierarchical analysis method, and approximate ideal solution sorting method, and feasible configurations are screened. Finally, the detailed configuration of the thermal power plant transformation into a comprehensive energy system is determined, and the transformation and planning scheme, as well as the various indicators at this time, are obtained. The present application comprehensively considers various indicators under the multidimensional evaluation system, as well as various configuration situations under given fuel and demand, comprehensively considers the fuel supply and energy product demand around the power plant, and can help engineering and technical personnel quickly plan and build a comprehensive energy system based on a thermal power plant, and obtain a comprehensive energy system that can maximize the comprehensive benefits. Moreover, this method can be used to transform a variety of non-specific thermal power units and can be used to build a comprehensive energy system based on a thermal power plant.

[0195] It should be noted that the preset optimal conditions can be set by technicians in this field according to the actual situation and are not specifically limited here.

[0196] Specifically, it can be combined Figure 5 As shown, the working principle of the multidimensional evaluation planning method of the comprehensive energy system of a thermal power plant in the embodiment of the present application is described in detail with a specific embodiment.

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

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

[0199] Step S502: Determine renewable fuel input equipment options and constraints.

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

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

[0202] Step S505: obtain the comprehensive energy system configuration combination of the thermal power plant by combining: configuration 1, configuration 2, ..., configuration N.

[0203] Step S506: The model library is pre-established: a mathematical model library of the full-operating conditions of the thermal balance of the comprehensive energy system of the thermal power plant.

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

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

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

[0207] Step S510: importance judgment matrix of each indicator.

[0208] Step S511: Establish a hierarchical single ranking vector of each indicator weight based on the hierarchical analysis method.

[0209] Step S512: The consistency check passes.

[0210] Step S513: Obtain the optimal Pareto dominated solution based on the approximate ideal solution sorting method.

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

[0212] Step S515: Compare and select each configuration combination based on the index size.

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

[0214] According to the multi-dimensional evaluation and planning method of the comprehensive energy system of a thermal power plant proposed in the embodiment of the present application, various indicators of the comprehensive energy system based on the thermal power plant can be evaluated from multiple angles, and a multi-objective optimization method and other methods can be used to establish an optimization method for the comprehensive energy transformation of coal-fired thermal power units, and the optimal solution for the optimization design of the system can be given, so as to provide an effective reference for the engineering decision-making of the comprehensive energy transformation of coal-fired thermal power units, in order to guide relevant policy planners and engineering and technical personnel to plan and build a comprehensive energy system based on a thermal power plant in a targeted manner. Thus, the problem that most of the related technologies consider the design, composition, operation method, and optimized operation method (dispatching method) of the comprehensive energy system with multiple energy inputs and multiple energy outputs based on thermal power plants, but do not involve planning and evaluation, which reduces the problem of evaluation efficiency and accuracy.

[0215] Next, a multi-dimensional evaluation and planning device for a comprehensive energy system of a thermal power plant proposed in accordance with an embodiment of the present application will be described with reference to the accompanying drawings.

[0216] Figure 6 It is a structural schematic diagram of a multi-dimensional evaluation and planning device for a comprehensive energy system of a thermal power plant according to an embodiment of the present application.

[0217] like Figure 6 As shown, the multi-dimensional evaluation and planning device 10 for the integrated energy system of a thermal power plant includes: a combination generation module 100 , a 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 a variety of renewable fuel input options other than coal and a variety of energy product supply options other than electricity with a coal-fired power generation unit 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.

[0219] Establishing module 200 is used to establish a multi-dimensional evaluation index system according to target energy efficiency index, target economic index and target environmental index.

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

[0221] The evaluation and planning module 400 is used to determine the supply capacity based on the multi-dimensional evaluation index system, preset constraints and mathematical models, 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 indicator evaluation of the comprehensive energy system of the thermal power plant based on the configuration and equipment capacity that meet the preset optimal conditions.

[0222] Optionally, in one embodiment of the present application, the plurality of renewable fuel input options include at least one of biomass gasification fuel, domestic waste gasification fuel, dried sludge co-combustion, solid waste co-combustion and biomass co-combustion.

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

[0224] Optionally, in one embodiment of the present application, the calculation formula of the target energy efficiency index is:

[0225]

[0226] Where Q is the energy output, S, C, and H subscripts represent the output of steam, cold, and heat energy products, respectively, P is the power output, and η Boil is the boiler efficiency, B is the boiler fuel consumption;

[0227] The calculation formula of the target economic index is:

[0228]

[0229] Among them, DPP is the dynamic investment payback period, CI and CO represent cash inflow and outflow respectively, r dis is the discount rate, y is the number of years the project will operate;

[0230] The calculation formula for the target environmental performance index is:

[0231]

[0232] Among them, Em coal and Em re are the carbon dioxide emission factors of coal and renewable fuels, B is the boiler fuel consumption, Q re is the renewable fuel energy input, t is the annual average operating time, η Boil is the boiler efficiency, Δ c H s is the low calorific value of coal, η re is the efficiency of the renewable fuel conversion unit, h re is the enthalpy of renewable fuel.

[0233] Optionally, in one embodiment of the present application, the assessment planning module 400 includes: a establishing unit, a calculating unit and a determining unit.

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

[0235] The calculation unit is used to establish a single-order vector of each indicator weight level based on the importance of each indicator, and calculate the indicator weight after the single-order vector of each indicator weight level is tested and passed.

[0236] The determination unit is used to calculate the solution that meets the preset optimal condition in the Pareto dominated solution set based on the indicator weight, the preset constraint condition and the mathematical model, and determine the supply capacity according to the solution that meets the preset optimal condition.

[0237] The explanation of the embodiment is also applicable to the multi-dimensional evaluation and planning device of the comprehensive energy system of the thermal power plant of this embodiment, and will not be repeated here.

[0238] According to the multi-dimensional evaluation and planning device of the comprehensive energy system of a thermal power plant proposed in the embodiment of the present application, various indicators of the comprehensive energy system based on the thermal power plant can be evaluated from multiple angles, and the optimization method of the comprehensive energy transformation of coal-fired thermal power units can be established by adopting methods such as multi-objective optimization, and the optimal solution of the system's optimization design can be given, so as to provide an effective reference for the engineering decision-making of the comprehensive energy transformation of coal-fired thermal power units, so as to guide relevant policy planners and engineering and technical personnel to plan and build a comprehensive energy system based on a thermal power plant in a targeted manner. Thus, the problem that most of the related technologies consider the design, composition, operation method, and optimized operation method (dispatching method) of the comprehensive energy system with multiple energy inputs and multiple energy outputs based on thermal power plants, but do not involve planning and evaluation, which reduces the problem of evaluation efficiency and accuracy.

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

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

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

[0242] Furthermore, the electronic device further comprises:

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

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

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

[0246] If the memory 701, the processor 702 and the communication interface 703 are implemented independently, the communication interface 703, the memory 701 and the processor 702 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 7 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

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

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

[0249] This embodiment also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the multi-dimensional evaluation and planning method for the integrated energy system of a thermal power plant as described above is implemented.

[0250] An embodiment of the present application also provides a computer program product, on which a computer program is stored, and when the program is executed by a processor, the multi-dimensional evaluation and planning method for the integrated energy system of a thermal power plant as described above is implemented.

[0251] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

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

[0253] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0254] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways as necessary and then storing it in a computer memory.

[0255] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0256] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0257] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0258] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A multidimensional evaluation planning method for a comprehensive energy system of a thermal power plant, characterized in that: The following steps are involved: Taking coal-fired power generation units as core energy conversion equipment, establishing multiple renewable fuel input options other than coal and multiple energy product supply options other than electricity, and generating target configuration combinations 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 thermal power plant comprehensive energy system heat balance full-operating condition mathematical model library and the target configuration combination, a mathematical model of the thermal power plant comprehensive energy system is generated; The supply capacity is determined according to the multidimensional evaluation index system, the preset constraints and the mathematical model, and feasible configurations are screened out according to the supply capacity, and the configuration and equipment capacity that meet the preset optimal conditions are determined according to the feasible configurations, and the final planning scheme and indicator evaluation of the comprehensive energy system of the thermal power plant are generated according to the configuration and equipment capacity that meet the preset optimal conditions.

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

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

4. The method according to claim 1, characterized in that: The calculation formula of the target energy efficiency index is: Where Q is the energy output, S, C, and H subscripts represent the output of steam, cold, and heat energy products, respectively, P is the power output, and η Boil is the boiler efficiency, B is the boiler fuel consumption; The calculation formula of the target economic index is: Among them, DPP is the dynamic investment payback period, CI and CO represent cash inflow and outflow respectively, r dis is the discount rate, y is the number of years the project will operate; The calculation formula of the target environmental performance index is: Among them, Em coal and Em re are the carbon dioxide emission factors of coal and renewable fuels, B is the boiler fuel consumption, Q re is the renewable fuel energy input, t is the annual average operating time, η Boil is the boiler efficiency, Δ c H s is the low calorific value of coal, η re is the efficiency of the renewable fuel conversion unit, h re is the enthalpy of renewable fuel.

5. The method according to claim 1, characterized in that The determining of the supply capacity according to the multi-dimensional evaluation index system, the preset constraints and the mathematical model includes: Based on the 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 each indicator weight level is established, and after the single ranking vector of each indicator weight level is tested and passed, the indicator weight is calculated; A solution satisfying a preset optimal condition in a Pareto dominated solution set is calculated based on the indicator weight, the preset constraint condition and the mathematical model, and the supply capacity is determined according to the solution satisfying the preset optimal condition.

6. A multi-dimensional evaluation and planning device for a comprehensive energy system of a thermal power plant, characterized in that: include: A combination generation module, for establishing a plurality of renewable fuel input options other than coal and a plurality of energy product supply options other than electricity with a coal-fired power generation unit as a core energy conversion device, and generating a target configuration combination according to the plurality of renewable fuel input options and the plurality of energy product supply options; Establish a module for establishing a multi-dimensional evaluation index system based on target energy efficiency indicators, target economic indicators and target environmental indicators; A model generation module, used to generate a mathematical model of the thermal power plant integrated energy system based on a pre-established thermal power plant integrated energy system heat balance full-operating condition mathematical model library and the target configuration combination; An evaluation and planning module is used to determine the supply capacity according to the multidimensional evaluation index system, preset constraints and the mathematical model, and to screen out feasible configurations according to the supply capacity, and to determine the configuration and equipment capacity that meet the preset optimal conditions according to the feasible configurations, and to generate the final planning scheme and indicator evaluation of the comprehensive energy system of the thermal power plant according to the configuration and equipment capacity that meet the preset optimal conditions.

7. The device according to claim 6, characterized in that The plurality of renewable fuel input options include at least one of biomass gasification fuel, domestic waste gasification fuel, dried sludge co-combustion, solid waste co-combustion and biomass co-combustion.

8. An electronic device, characterized in that: include: 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 multidimensional evaluation and planning method for the integrated energy system of a thermal power plant as described in any one of claims 1 to 5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement 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 to 5.

10. A computer program product, comprising a computer program, characterized in that The computer program is executed to implement the multi-dimensional evaluation planning method for the integrated energy system of a thermal power plant as described in any one of claims 1 to 5.

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