Planning evaluation method and system for comprehensive energy efficiency power plant

Abstract

The invention discloses a planning evaluation method and system for a comprehensive energy efficiency power plant, and belongs to the technical field of electrical energy and potential evaluation. The method comprises the following steps: firstly, acquiring a multi-energy load curve of internal users of the integrated energy park, electricity purchase and gas purchase prices from an external market, a carbon transaction price and economic parameters of integrated energy equipment; secondly, constructing a comprehensive energy efficiency power plant planning evaluation double-layer model considering economy and low-carbon property, carrying out economy-based equipment optimization configuration analysis for comprehensive energy efficiency power plant equipment capacity planning on the upper layer, and establishing a carbon emission reduction oriented scheduling model for typical daily operation optimization of the comprehensive energy efficiency power plant on the lower layer; collaborative analysis of equipment capacity planning and operation optimization is realized; and finally, evaluating the equipment structure, the operation energy efficiency, the cost income and the low-carbon emission reduction index of the comprehensive energy efficiency power plant, determining an optimal planning scheme of the comprehensive energy efficiency power plant, and giving a comprehensive evaluation value so as to improve the resource allocation efficiency and the carbon emission control capability of the comprehensive energy efficiency power plant.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power energy and potential assessment, and particularly relates to a planning and assessment method and system for a comprehensive energy efficiency power plant. Background Art

[0002] Along with the development trend of "enterprises entering the park" in China, industrial parks have become an important part of China's economic development. Compared with traditional industrial parks, low-carbon and energy-saving industrial parks, relying on the (near) zero-carbon park of the integrated energy system, achieve local carbon neutrality with higher energy utilization efficiency and lower carbon emissions.

[0003] The integrated energy system needs to coordinate and plan various loads and equipment within the industrial park, and conduct scheduling to achieve the purpose of reducing planning costs and improving comprehensive energy efficiency. Among them, the planning model and plan need to consider the equivalent annual value of equipment investment, the annual operation and maintenance costs of equipment, the system's energy purchase cost, the carbon trading cost, etc.

[0004] Therefore, how to establish an optimized planning and investment for a comprehensive energy efficiency power plant based on the prediction of new energy output, load prediction, and various technical and economic parameters of equipment within the integrated energy park, and further evaluate the equipment structure, operation energy efficiency, cost-benefit, and low-carbon emission reduction indicators of the comprehensive energy efficiency power plant, and obtain the final evaluation value of the comprehensive energy efficiency power plant planning plan is an urgent problem to be studied. Summary of the Invention

[0005] The problem to be solved by the present invention is: to provide a planning and assessment method and system for a comprehensive energy efficiency power plant, which considers the load demand and equipment operation conditions within the comprehensive energy efficiency power plant, combines the electricity purchase, gas purchase, and carbon trading prices in the external market, constructs a two-layer optimization model for the planning and assessment of the comprehensive energy efficiency power plant, and realizes the improvement of the resource allocation efficiency and carbon emission control ability of the comprehensive energy efficiency power plant.

[0006] The present invention adopts the following technical solutions: a planning and assessment method for a comprehensive energy efficiency power plant, including the following steps:

[0007] S1. Collect the electricity purchase price, gas purchase price, carbon trading price from the integrated energy park to the external market, the technical and economic parameters of the integrated energy equipment, and the multi-energy load curves of internal users;

[0008] S2. Construct a two-layer model for the planning and assessment of the comprehensive energy efficiency power plant that takes into account both economy and low carbon;

[0009] The upper-layer model targets the equipment capacity planning of the comprehensive energy efficiency power plant, and aims to minimize the total investment cost within the planning period, and conducts equipment optimization configuration based on economy;

[0010] The lower-layer model aims at the typical daily operation optimization of an integrated energy-efficient power plant, establishes a dispatching model oriented to carbon emission reduction, and conducts coordinated control of equipment capacity planning and operation optimization with the goal of minimizing the typical daily operation cost considering carbon trading costs.

[0011] S3. Solve the optimal planning scheme of the integrated energy-efficient power plant, and evaluate the equipment structure, operation energy efficiency, cost-benefit, and low-carbon emission reduction indicators of the integrated energy-efficient power plant, including: constructing an index system for the integrated energy-efficient power plant, and establishing a multi-level and multi-dimensional index system from four dimensions of equipment structure, operation energy efficiency, cost-benefit, and low-carbon emission reduction to evaluate the integrated energy-efficient power plant.

[0012] S4. Determine the optimal planning scheme and comprehensive evaluation value of the integrated energy-efficient power plant, and improve the resource allocation efficiency and carbon emission control ability of the integrated energy-efficient power plant.

[0013] Preferably, in step S2, a two-layer model for planning and evaluation of an integrated energy-efficient power plant that takes into account both economy and low-carbon is constructed, including an upper-layer model and a lower-layer model.

[0014] The upper-layer model is based on equipment capacity planning for economy, with the goal of minimizing the total investment cost within the planning period, and decides the capacity of the waste heat boiler (WHB) and organic rankine cycle (ORC) equipment for retrofitting the combined heat and power equipment, and the capacity of newly invested photovoltaic, battery, heat pump, heat storage tank, and carbon capture system. The constraint conditions include: project investment upper limit constraint, capacity constraint under the maximum operation mode, and capacity constraint under the minimum operation mode.

[0015] The lower-layer model is based on typical daily optimization operation, with the goal of minimizing the typical daily operation cost considering carbon trading costs, decides the operation conditions of the internal equipment of the integrated energy-efficient power plant on a typical day, and transmits it back to the upper-layer model. The constraint conditions include two major categories: electric and thermal power balance constraint and equipment operation constraint.

[0016] Preferably, the objective function of the upper-layer model is to minimize the total investment cost within the planning period, which is expressed as:

[0017] F1 = min(C inv,y + C om )

[0018] In the formula, F1 is the upper-layer objective function; C inv,y is the equivalent annual value of equipment investment; y represents the number of years of the equipment life cycle; C om is the annual operation and maintenance cost of the equipment.

[0019] Among them, the calculation formula for the equivalent annual value of equipment investment is:

[0020] C inv,y = Ψ Y C inv

[0021]

[0022] Wherein, C inv is the equipment investment; Ψ Y is the capital recovery factor; k i is the quantity of the i-th type of equipment; is the investment cost per unit of the i-th type of equipment; S i is the capacity of the i-th type of equipment; Φ is the set of equipment types, and the investment equipment types are: combined heat and power, gas boiler, photovoltaic, battery, heat pump, heat storage tank, and carbon capture equipment.

[0023] The annual operation and maintenance cost of the equipment is expressed as:

[0024]

[0025] Wherein, N is the total number of typical day types; D n is the number of days corresponding to the typical day n; N is the total number of typical day types; is the operation and maintenance cost per unit of the i-th type of equipment.

[0026] Preferably, the constraint conditions of the upper-layer model include: project investment upper limit constraint, capacity constraint under the maximum operation mode, and capacity constraint under the minimum operation mode, which are expressed as:

[0027]

[0028] Wherein, C inv,max is the upper limit of the project investment amount; S PV is the power generation capacity of the photovoltaic equipment; S e,CHP and S h,CHP are the power supply and heat supply capacities of the combined heat and power (CHP) equipment respectively; S GB is the heat supply capacity of the gas boiler (GB) equipment; S HP is the heat supply capacity of the heat pump (HP) equipment; S ESS and S HST are the capacities of the battery and the heat storage tank; is the coefficient of the maximum discharge and heat release power of the battery and the heat storage tank and their corresponding capacities, representing the discharge and heat release capabilities of the battery and the heat storage tank; P e,load,max and P h ,load,max are the maximum peak values of the electrical and heat loads inside the system respectively; P e,load，min and P h,load,min are the minimum valley values of the electrical and heat loads inside the system respectively.

[0029] Preferably, the objective function of the lower-layer model is to minimize the operation cost of the system, which is expressed as:

[0030]

[0031] In the formula, F2 is the lower-layer objective function; C pur is the system's energy purchase cost; is the carbon trading cost; C CCER is the income from nationally verified voluntary emission reductions (CCER).

[0032] The system's energy purchase cost C pur includes the electricity purchase cost and the gas purchase cost, and its calculation formula is:

[0033]

[0034] In the formula, T is the total number of time periods per day, and t ∈ {T1, T2, T3} are the peak, flat, and valley time periods in the typical day n respectively; is the power purchased from the superior power grid at time period t in the typical day n; is the electricity purchase price at time period t in the typical day n; is the amount of natural gas purchased at time period t in the typical day n; is the natural gas price in the typical day n.

[0035] The carbon trading cost is expressed as:

[0036]

[0037] In the formula, is the carbon price per unit of carbon dioxide in the carbon market; is the amount of carbon emission rights purchased by the integrated energy efficiency power plant from the carbon trading market.

[0038] The CCER income C CCER is expressed as:

[0039] C CCER = π CCER D CCER

[0040] In the formula, π CCER is the unit carbon price in the CCER trading market; D CCER is the CCER certification quantity.

[0041] Preferably, the constraint conditions of the lower-layer model include two major categories: the electric-thermal power balance constraint and the equipment operation constraint;

[0042] The electric-thermal power balance constraint is expressed as:

[0043]

[0044] In the formula, are respectively the electric and thermal load powers at time period t in the typical day n of the integrated energy efficiency power plant; is the power generation power of photovoltaic at time t on a typical day n; is the power generation power of the CHP device at time t on a typical day n; is the electrical power of the energy storage device at time t on a typical day n; is the electrical power consumed by the carbon capture system at time t on a typical day n; is the electrical power consumed by the heat pump at time t on a typical day n; is the heat power provided by the gas boiler at time t on a typical day n; is the heat power provided by the CHP device at time t on a typical day n; is the heat power provided by the heat pump at time t on a typical day n; is the heat power of the heat storage tank at time t on a typical day n.

[0045] Integrate the operating constraints of various types of equipment in the energy-efficient power plant, including: the operating constraints of the CHP device, the operating constraints of the GB device, the operating constraints of the photovoltaic device, the operating constraints of the heat pump device, the operating constraints of the battery device, the operating constraints of the heat storage tank device, and the energy consumption constraints of the carbon capture system.

[0046] Among them, the operating constraint conditions of the CHP device are expressed as:

[0047]

[0048] In the formula, is the power supply and heat supply power of the CHP device at time t on a typical day n; is the power generation power of the gas turbine and the low-temperature waste heat power generation device at time t on a typical day n; is the heat generation power of the gas turbine at time t on a typical day n; S e,CHP 、S h,CHP are the power supply capacity and heat supply capacity of the CHP device respectively; S e ,GT 、S h,GT are the power supply capacity and heat supply capacity of the GT device respectively; S e,ORC is the power supply capacity of the ORC device; is the gas consumption of the CHP device at time t on a typical day n; is the proportion of the waste heat generated by the GT at time t on a typical day n allocated to the WHB for heat generation; β WHB is the heat conversion efficiency of the WHB; β e,GT 、β h,GT are the power generation and heat generation efficiencies of the GT respectively; is the calorific value of natural gas, taking 9.88kW·h / m 3 ; The proportion of the waste heat generated during the t period of the GT typical day n allocated to the ORC for power generation.

[0049] The operating constraint conditions of the GB device are expressed as:

[0050]

[0051] In the formula, is the heat generation power of the GB device during the t period of the typical day n; S GB is the capacity of the GB device.

[0052] The operating constraint conditions of the photovoltaic device are expressed as:

[0053]

[0054] In the formula, is the maximum value of the power that can be generated by the photovoltaic during the t period of the typical day n; S PV is the capacity of the photovoltaic.

[0055] The operating constraint conditions of the heat pump device are expressed as:

[0056]

[0057] In the formula, is the heat generation power of the heat pump during the t period of the typical day n; is the power consumption of the heat pump during the t period of the typical day n; β HP is the electro-thermal conversion coefficient of the heat pump; is the upper limit of the heat generation power of the heat pump.

[0058] The operating constraint conditions of the battery energy storage device are expressed as:

[0059]

[0060] In the formula, is the final charge-discharge power of the electrical energy storage during the t period of the typical day n; is the charge and discharge power of the electrical energy storage during the t period of the typical day n; is the charge-discharge state variable of the electrical energy storage during the t period of the typical day n; P ESS,ch,max 、P ESS,dis,max are the upper limits of the charge and discharge power of the electrical energy storage; β ESS,ch 、β ESS,dis are the charge and discharge efficiencies of the electrical energy storage.

[0061] The operating constraint conditions of the heat storage tank device are expressed as:

[0062]

[0063] In the formula, is the final heat storage and release power of the heat storage tank during period t of typical day n; is the heat storage and release power of the heat storage tank during period t of typical day n; is the heat storage and release state variable of the heat storage tank during period t of typical day n, which is a binary 0-1 variable; is the upper limit of the heat storage and release power of the heat storage tank; β HST,ch β HST,dis are the heat storage and release efficiencies of the heat storage tank.

[0064] The energy consumption constraint condition of the carbon capture system is expressed as:

[0065] 0 ≤ P t CCS,B ≤ P CCS,B,max

[0066] In the formula, P t CCS,B is the energy consumption power of the carbon capture stripping tower; P CCS,B,max is the power under the maximum operating condition of the carbon capture stripping tower.

[0067] Preferably, in step S3, the optimal planning scheme of the integrated energy efficiency power plant is solved, including the following sub-steps:

[0068] S3.1. In the double-layer planning optimization model of the integrated energy efficiency power plant, the upper-layer model is the equipment capacity planning based on economy. Its goal is to minimize the total investment cost during the planning period, determine the capacities of the equipment for transforming the combined heat and power equipment, and invest in the capacities of newly built photovoltaic, battery, heat pump, heat storage tank and carbon capture system, and transfer them to the lower-layer model as boundary conditions.

[0069] S3.2. The lower-layer model takes the planning capacities obtained by the upper-layer model as constraint conditions, takes the sum of the energy purchase cost and the carbon trading cost minus the CCER income as the minimum as the objective function, determines the internal equipment operation conditions of the integrated energy efficiency power plant under the typical day, and feeds back the system scheduling strategy and equipment operation conditions obtained by the lower-layer optimization to the upper-layer model.

[0070] S3.3. Interact and iterate between the upper and lower-layer optimization models. When the convergence condition is not reached, return to step S3.1. When the convergence condition is reached, output the optimal solution obtained by the model.

[0071] Preferably, in step S3, the equipment structure, operation energy efficiency, cost-benefit and low-carbon emission reduction indicators of the integrated energy efficiency power plant are evaluated, specifically including:

[0072] Construct an index system for the integrated energy efficiency power plant, and establish a multi-level and multi-dimensional index system from four dimensions of equipment structure, operation energy efficiency, cost income and low-carbon emission reduction to evaluate the integrated energy efficiency of the integrated energy efficiency power plant investment planning project, so as to comprehensively evaluate and analyze the integrated energy efficiency of the integrated energy efficiency power plant investment planning project.

[0073] Preferably, the equipment structure indicators for building a comprehensive energy efficiency power plant include: green energy penetration rate, proportion of electricity storage capacity, proportion of heat storage capacity, and proportion of green energy supply, which are used to measure the configuration of clean energy and energy storage equipment in the comprehensive energy efficiency power plant.

[0074] Green electricity penetration rate A gre,s It is the ratio of the total capacity of green electricity equipment in the comprehensive energy efficiency power plant to the total capacity of energy supply equipment, expressed as:

[0075]

[0076] In the formula, S gre is the total capacity of green electricity equipment, in kW; S grid is the capacity of the tie line, in kW; S i is the capacity of equipment i, in kW; Φ is the set of equipment.

[0077] Energy storage plays an important role in the flexible regulation and operation of the comprehensive energy efficiency power plant. The proportion of electricity storage capacity A sto,e and the proportion of heat storage capacity A sto,h are respectively expressed as:

[0078]

[0079] In the formula, S ESS is the discharge capacity of electrical energy storage, in kW; is the power supply capacity of equipment i, in kW; S HST is the heat release capacity of the heat storage tank, in kW; is the heat supply capacity of equipment i, in kW.

[0080] The proportion of green electricity supply A gre refers to the proportion of the energy generated by green electricity equipment in the comprehensive energy efficiency power plant in the total energy generated by the comprehensive energy efficiency power plant, expressed as:

[0081]

[0082] In the formula, Q gre is the energy supply of green electricity equipment, in MJ; Q grid is the electricity purchased from the large power grid, in MJ; Q i is the energy supply of equipment i, in MJ; ε e is the conversion coefficient of unit electric energy, in MJ / kW·h.

[0083] Preferably, the operation energy efficiency indicators for building a comprehensive energy efficiency power plant include: energy conversion efficiency, electricity storage system efficiency, heat storage system efficiency, and total energy storage system efficiency, which are used to measure the operation of the comprehensive energy efficiency power plant.

[0084] The energy obtained within the integrated energy efficiency power plant system is the sum of the energy generated by the internal functional equipment of the system and the energy provided by the outside world. Based on the second law of thermodynamics, the conversion of energy of different qualities into heat energy is compared and analyzed to construct the energy conversion efficiency B eff Index, expressed as:

[0085]

[0086] In the formula, Q e is the electric energy consumed by a certain final product or service of the integrated energy efficiency power plant, with the unit of kW·h; Q h is the heat energy consumed by a certain final product or service of the integrated energy efficiency power plant, with the unit of MJ; q Low is the low calorific value of natural gas, with the unit of MJ / m 3 ; V g is the consumption of natural gas, with the unit of m 3 ; Q grid is the electricity purchased from the large power grid, with the unit of kW·h; ε e and ε h are the conversion coefficients of unit electric energy and heat energy respectively.

[0087] The efficiency B sto,e of the electric energy storage system is the ratio of the discharged electric quantity to the stored electric quantity of the electric energy storage system, expressed as:

[0088]

[0089] In the formula, S ESS,dis and S ESS,ch are the total discharged and charged electric quantities of energy storage respectively.

[0090] The efficiency B sto,h of the heat energy storage system is the ratio of the released heat to the stored heat of the heat energy storage system, expressed as:

[0091]

[0092] In the formula, S HTS,dis and S HTS,ch are the total released and stored heat quantities of the heat energy storage system respectively.

[0093] The total efficiency B sto of the energy storage system is the ratio of the sum of the energies released by the electric energy storage and heat energy storage systems to the sum of the stored energies, expressed as:

[0094]

[0095] Preferably, the cost-benefit indicators for building a comprehensive energy efficiency power plant include: investment transformation cost, operation and maintenance cost, energy purchase cost, carbon trading cost, energy sales revenue, and CCER revenue, which are used to measure the economy of the comprehensive energy efficiency power plant.

[0096] Preferably, the low-carbon emission reduction indicators for building a comprehensive energy efficiency power plant include: total carbon emission accounting, carbon emission value during equipment operation, carbon capture and emission reduction volume, CCER certification volume, emission into the atmosphere, carbon quota purchase volume, net carbon emission accounting, and carbon storage loss, which are used to measure whether the comprehensive energy efficiency power plant meets the characteristics of clean and low carbon.

[0097] Total carbon emission accounting It is the sum of the carbon dioxide emissions during the process of the comprehensive energy efficiency system consuming primary energy to generate energy and the carbon emissions corresponding to the purchased electricity, expressed as:

[0098]

[0099] In the formula, is the carbon dioxide emission factor for natural gas combustion; V g is the purchased natural gas volume; is the combined marginal carbon emission factor of the regional power grid where the comprehensive energy efficiency power plant is located; S e,buy is the purchased electricity volume.

[0100] Carbon emission value during equipment operation It is the total amount of carbon dioxide emissions during the process of the comprehensive energy efficiency system consuming primary energy to generate energy, expressed as:

[0101]

[0102] Carbon capture and emission reduction volume E CCS It is the amount of carbon dioxide sequestered by the carbon capture system, which is related to the power consumption of the carbon capture and desorption equipment, expressed as:

[0103]

[0104] In the formula, is the value of carbon dioxide that can be sequestered per unit of electricity consumed by the carbon capture and desorption equipment; S CCS,B is the power consumption of the carbon capture and desorption equipment.

[0105] CCER certification volume D CCER Expressed as:

[0106] D CCER = D CCER,CCS + D CCER,user

[0107] Emission into the atmosphere The amount of carbon dioxide directly discharged into the atmosphere by the carbon capture system of the integrated energy efficiency power plant, which is the amount of carbon dioxide emitted by the equipment of the integrated energy efficiency power plant minus the amount of carbon dioxide captured and stored, is expressed as:

[0108]

[0109] Net accounting carbon emissions D che,net It is the total carbon emissions accounted for by the integrated energy efficiency power plant minus the amount of carbon quota purchased in the carbon trading market, and is expressed as:

[0110]

[0111] Carbon storage loss D loss It is difficult to calculate by the direct method and is mostly calculated by the indirect method. Its value is equal to the difference between the equipment emissions and the sum of the carbon sequestration amount and the carbon amount discharged into the atmosphere, and is expressed as:

[0112]

[0113] Preferably, in step S4, to determine the comprehensive evaluation value of the integrated energy efficiency power plant, the combined weighting method is used to process various indicators of the integrated energy efficiency power plant to obtain the comprehensive evaluation value, including the following sub-steps:

[0114] S4.1. Use the analytic hierarchy process to determine the subjective weights U = [u1, u2,..., u n .

[0115] S4.2. Perform normalized data processing on the n indicators to obtain the normalized decision matrix Y = [y1, y2,..., y n , and use the entropy weight method to determine the objective weights V = [v1, v2,..., v n based on the normalized decision matrix Y.

[0116] S4.3. Use the least squares method to compromise between the subjective and objective weights to obtain the combined weight W = [w1, w2,..., w n , and the calculation formula is expressed as:

[0117]

[0118] S4.4. Based on the combined weight W, calculate the comprehensive evaluation value z i = Wy i .

[0119] The technical solution of the present invention also provides: An integrated energy efficiency power plant planning and evaluation system, including: a data acquisition module, a model building module, and an optimization solution module;

[0120] A data acquisition module, which is used to collect the multi-energy load curves of internal users in the integrated energy park, various physical parameters of the integrated energy equipment, and the electricity purchase, gas purchase prices, and carbon trading prices in the external market.

[0121] A model construction module, which is used to establish an integrated energy efficiency power plant planning and evaluation model. The model is a two-layer optimization model. The upper-layer model considers equipment capacity planning based on economy, and the lower-layer model considers the optimal operation of a typical day based on carbon emission reduction.

[0122] An optimization solution module, which is used to optimize and solve the optimal planning scheme of the integrated energy efficiency power plant according to the built-in program and obtain the comprehensive evaluation value of the integrated energy efficiency power plant.

[0123] Compared with the prior art, the present invention adopts the above technical solutions and has the following technical effects:

[0124] 1. The planning and evaluation method of the integrated energy efficiency power plant of the present invention constructs a two-layer model for planning and evaluating the integrated energy efficiency power plant that takes into account both economy and low carbon, establishes an evaluation index system for the integrated energy efficiency power plant covering equipment structure, operation energy efficiency, cost-benefit, and low-carbon emission reduction indicators, and realizes the collaborative analysis of equipment capacity planning and operation optimization of the integrated energy efficiency power plant.

[0125] 2. The planning and evaluation system of the integrated energy efficiency power plant of the present invention provides a calculator for planning and evaluating the integrated energy efficiency power plant. By collecting the multi-energy load curves of internal users in the integrated energy park and various technical and economic parameters of the equipment, it plans to invest in the construction of an integrated energy efficiency power plant, evaluates the equipment structure, operation energy efficiency, cost-benefit, and low-carbon emission reduction indicators of the integrated energy efficiency power plant, and solves to obtain the comprehensive evaluation value of the planning scheme of the integrated energy efficiency power plant, which can provide a reference for the low-carbon transformation of industrial parks and realize the improvement of the resource allocation efficiency and carbon emission control ability of the integrated energy efficiency power plant. Description of the Drawings

[0126] Figure 1 Schematic flow chart of the planning and evaluation method of the integrated energy efficiency power plant of the present invention;

[0127] Figure 2 It is the structural block diagram of the planning and evaluation system of the integrated energy efficiency power plant of the present invention. Detailed Embodiment

[0128] To make the objectives, technical solutions, and advantages of the present invention clearer, the following further elaborates on the technical solutions of the application in conjunction with the accompanying drawings. The described embodiments are only a part of the embodiments related to the present invention. All non-innovative embodiments of other researchers in this field belong to the protection scope of the present invention. At the same time, for the step numbers in the embodiments of the present invention, they are only set for the convenience of elaboration and explanation, and no limitation is imposed on the order between the steps. The execution order of each step in the embodiments can be adaptively adjusted according to the understanding of those skilled in the art.

[0129] In an embodiment of the present invention, a planning and evaluation method for a comprehensive energy efficiency power plant is as Figure 1 shown and includes the following steps:

[0130] Step 1: Collect the electricity purchase price, gas purchase price, carbon trading price from the comprehensive energy park to the external market, the technical and economic parameters of the comprehensive energy equipment, and the multi-energy load curves of the internal users.

[0131] Step 2: Construct a two-layer model for planning and evaluation of a comprehensive energy efficiency power plant that takes into account both economy and low carbon. In the upper layer, conduct equipment optimization configuration analysis based on economy for the equipment capacity planning of the comprehensive energy efficiency power plant. In the lower layer, establish a scheduling model oriented to carbon emission reduction for the typical daily operation optimization of the comprehensive energy efficiency power plant to achieve collaborative analysis of equipment capacity planning and operation optimization.

[0132] Constructing a two-layer model for planning and evaluation of a comprehensive energy efficiency power plant that takes into account both economy and low carbon includes the following steps:

[0133] The objective function of the upper-layer model is to minimize the total investment cost during the planning period, expressed as:

[0134] F1 = min(C inv,y + C om )

[0135] In the formula, F1 is the upper-layer objective function; C inv,y is the equivalent annual value of equipment investment; y represents the number of years of the equipment life cycle; C om is the annual operation and maintenance cost of the equipment.

[0136] Among them, the calculation formula for the equivalent annual value of equipment investment is:

[0137] C inv,y = Ψ Y C inv

[0138]

[0139] In the formula, C inv is the equipment investment; Ψ Y is the capital recovery factor; ki is the quantity of the i-th type of equipment; is the investment cost per unit of the i-th type of equipment; S i is the capacity of the i-th type of equipment; Φ is the set of equipment types, and the investment equipment types are: combined heat and power, gas boiler, photovoltaic, battery, heat pump, heat storage tank, and carbon capture equipment.

[0140] The annual operation and maintenance cost of the equipment is expressed as:

[0141]

[0142] In the formula, N is the total number of typical day types; D n is the number of days corresponding to the typical day n; N is the total number of typical day types; is the operation and maintenance cost per unit of the i-th type of equipment.

[0143] The constraint conditions of the upper-layer model include the project investment upper limit constraint, the capacity constraint under the maximum operation mode, and the capacity constraint under the minimum operation mode, which are expressed as:

[0144]

[0145] In the formula, C inv,max is the upper limit of the project investment amount; S PV is the power generation capacity of the photovoltaic equipment; S e,CHP 、S h,CHP are the power supply and heat supply capacities of the combined heat and power (CHP) equipment respectively; S GB is the heat supply capacity of the gas boiler (GB) equipment; S HP is the heat supply capacity of the heat pump (HP) equipment; S ESS 、S HST are the capacities of the battery and the heat storage tank; is the coefficient of the maximum discharge and heat release power of the battery and the heat storage tank to their corresponding capacities, representing the discharge and heat release capabilities of the battery and the heat storage tank; P e,load,max 、P h ,load,max are the maximum electric and heat load peaks inside the system respectively; P e,load，min 、P h,load,min are the minimum electric and heat load valleys inside the system respectively.

[0146] The objective function of the lower-layer model is to minimize the operation cost of the system, which is expressed as:

[0147]

[0148] In the formula, F2 is the lower-layer objective function; C pur is the system energy purchase cost; is the carbon trading cost; C CCERFor the income of nationally certified voluntary emission reductions (CCER).

[0149] System energy purchase cost C pur Including the cost of purchasing electricity and the cost of purchasing gas, the calculation formula is:

[0150]

[0151] In the formula, T is the total number of time periods per day, and t ∈ {T1, T2, T3} are the peak, flat, and valley time periods in the typical day n respectively; is the electricity purchase power from the superior power grid in the t time period of the typical day n; is the electricity purchase price in the t time period of the typical day n; is the natural gas purchase volume in the t time period of the typical day n; is the natural gas price in the typical day n.

[0152] Carbon trading cost It is expressed as:

[0153]

[0154] In the formula, is the carbon price per unit of carbon dioxide in the carbon market; is the amount of carbon emission rights purchased by the integrated energy efficiency power plant from the carbon trading market.

[0155] CCER income C CCER It is expressed as:

[0156] C CCER = π CCER D CCER

[0157] In the formula, π CCER is the unit carbon price in the CCER trading market; D CCER is the CCER certification quantity.

[0158] The constraint conditions of the lower-level model include two categories: the electric and thermal power balance constraint and the equipment operation constraint. Among them, the electric and thermal power balance constraint is expressed as:

[0159]

[0160] In the formula, are the electric and thermal load powers in the t time period of the integrated energy efficiency power plant in the typical day n respectively; is the power generation power of the photovoltaic in the t time period of the typical day n; is the power generation power of the CHP equipment in the t time period of the typical day n; is the electric power of the energy storage equipment in the t time period of the typical day n; is the electric power consumed by the carbon capture system in the t time period of the typical day n; is the electric power consumed by the heat pump during period t on a typical day n; is the heat power provided by the gas boiler during period t on a typical day n; is the heat power provided by the CHP device during period t on a typical day n; is the heat power provided by the heat pump during period t on a typical day n; is the heat power of the heat storage tank during period t on a typical day n.

[0161] Furthermore, the operation constraint conditions of various types of equipment in the integrated energy efficiency power plant include the operation constraints of the CHP device, the GB device, the photovoltaic device, the heat pump device, the battery device, the heat storage tank device, and the energy consumption constraint of the carbon capture system.

[0162] Among them, the operation constraint conditions of the CHP device are expressed as:

[0163]

[0164] In the formula, is the power supply and heat supply of the CHP device during period t on a typical day n; is the power generation of the gas turbine and the low-temperature waste heat power generation device during period t on a typical day n; is the heat production power of the gas turbine during period t on a typical day n; S e,CHP 、S h,CHP are the power supply capacity and heat supply capacity of the CHP device respectively; S e ,GT 、S h,GT are the power supply capacity and heat supply capacity of the GT device respectively; S e,ORC is the power supply capacity of the ORC device; is the gas consumption of the CHP device during period t on a typical day n; is the proportion of the waste heat generated by the GT during period t on a typical day n allocated to the WHB for heat production; β WHB is the heat conversion efficiency of the WHB; β e,GT 、β h,GT are the power generation and heat production efficiencies of the GT respectively; is the calorific value of natural gas, taking 9.88kW·h / m 3 ; is the proportion of the waste heat generated by the GT during period t on a typical day n allocated to the ORC for power generation.

[0165] The operation constraint conditions of the GB device are expressed as:

[0166]

[0167] In the formula, The heat generation power of the GB device at time period t on a typical day n; S GB is the capacity of the GB device.

[0168] The operating constraint conditions of the photovoltaic device are expressed as:

[0169]

[0170] In the formula, is the maximum value of the available power that can be generated by the photovoltaic on a typical day n at time period t; S PV is the capacity of the photovoltaic.

[0171] The operating constraint conditions of the heat pump device are expressed as:

[0172]

[0173] In the formula, is the heat generation power of the heat pump at time period t on a typical day n; is the power consumption of the heat pump at time period t on a typical day n; β HP is the electro-thermal conversion coefficient of the heat pump; is the upper limit of the heat generation power of the heat pump.

[0174] The operating constraint conditions of the battery energy storage device are expressed as:

[0175]

[0176] In the formula, is the final charge-discharge power of the electrical energy storage at time period t on a typical day n; is the charge and discharge power of the electrical energy storage at time period t on a typical day n; is the charge-discharge state variable of the electrical energy storage at time period t on a typical day n, which is a binary 0-1 variable; P ESS,ch,max 、P ESS,dis,max are the upper limits of the charge and discharge power of the electrical energy storage; β ESS,ch 、β ESS,dis are the charge and discharge efficiencies of the electrical energy storage.

[0177] The operating constraint conditions of the heat storage tank device are expressed as:

[0178]

[0179] In the formula, is the final heat storage and release power of the heat storage tank at time period t on a typical day n; is the heat storage and release power of the heat storage tank at time period t on a typical day n; is the heat storage and release state variable of the heat storage tank at time period t on a typical day n, which is a binary 0-1 variable; is the upper limit of the heat storage and release power of the heat storage tank; β HST,ch 、βHST,dis For the heat storage and release efficiency of the heat storage tank.

[0180] The energy consumption constraint condition of the carbon capture system is expressed as:

[0181] 0 ≤ P t CCS,B ≤ P CCS,B,max

[0182] In the formula, P t CCS,B is the energy consumption power of the carbon capture desorption tower; P CCS,B,max is the power under the maximum operating condition of the carbon capture desorption tower.

[0183] Step 3: Solve the optimal planning scheme of the integrated energy efficiency power plant, and evaluate the equipment structure, operating energy efficiency, cost-benefit, and low-carbon emission reduction indicators of the integrated energy efficiency power plant.

[0184] (1) Solve the optimal planning scheme of the integrated energy efficiency power plant, which specifically includes the following steps:

[0185] In the bi-level programming optimization model of the integrated energy efficiency power plant, the upper-level model is the equipment capacity planning based on economy. Its goal is to minimize the total investment cost within the planning period, determine the capacity of each equipment for retrofitting the combined heat and power equipment, and invest in the capacity of newly built photovoltaic, battery, heat pump, heat storage tank, and carbon capture system, and transfer them as boundary conditions to the lower-level model.

[0186] The lower-level model takes the planning capacity obtained by the upper-level model as the constraint condition, and takes the minimum of the sum of the energy purchase cost and the carbon trading cost minus the CCER income as the objective function, determines the internal equipment operation situation of the integrated energy efficiency power plant under a typical day, and feeds back the system scheduling strategy and equipment operation situation obtained by the lower-level optimization to the upper-level model.

[0187] The upper and lower-level optimization models interact and iterate. When the convergence condition is not reached, return to Step 1. When the convergence condition is reached, output the optimal solution obtained by the model.

[0188] (2) Evaluate the equipment structure, operating energy efficiency, cost-benefit, and low-carbon emission reduction indicators of the integrated energy efficiency power plant, which specifically includes the following steps:

[0189] Construct an index system for the integrated energy efficiency power plant, and establish a multi-level and multi-dimensional index system from four dimensions: equipment structure, operating energy efficiency, cost-benefit, and low-carbon emission reduction to evaluate the integrated energy efficiency of the integrated energy efficiency power plant investment planning project, so as to comprehensively evaluate and analyze the integrated energy efficiency of the integrated energy efficiency power plant investment planning project.

[0190] Construct the equipment structure indicators of the integrated energy efficiency power plant, specifically including the green energy penetration rate, the proportion of electricity storage capacity, the proportion of heat storage capacity, and the proportion of green energy supply, which are used to measure the configuration of clean energy and energy storage equipment in the integrated energy efficiency power plant.

[0191] Green electricity penetration rate A gre,s It is the ratio of the total capacity of green electricity equipment to the total capacity of energy supply equipment in the integrated energy efficiency power plant, expressed as:

[0192]

[0193] In the formula, S gre is the total capacity of green electricity equipment, with the unit of kW; S grid is the capacity of the tie line, with the unit of kW; S i is the capacity of equipment i, with the unit of kW; Φ is the set of equipment.

[0194] Energy storage plays an important role in the flexible regulation and operation of the integrated energy efficiency power plant. The proportion of electricity storage capacity A sto,e and the proportion of heat storage capacity A sto,h are respectively expressed as:

[0195]

[0196] In the formula, S ESS is the discharge capacity of the electrical energy storage, with the unit of kW; is the power supply capacity of equipment i, with the unit of kW; S HST is the heat release capacity of the heat storage tank, with the unit of kW; is the heat supply capacity of equipment i, with the unit of kW.

[0197] The proportion of green electricity supply A gre refers to the proportion of the energy generated by green electricity equipment in the total energy generated by the integrated energy efficiency power plant, expressed as:

[0198]

[0199] In the formula, Q gre is the energy supply of the green electricity equipment, with the unit of MJ; Q grid is the electricity purchased from the large power grid, with the unit of MJ; Q i is the energy supply of equipment i, with the unit of MJ; ε e is the conversion coefficient of unit electric energy, with a value of 3.6, and the unit of MJ / kW·h.

[0200] Construct the operation energy efficiency indicators of the integrated energy efficiency power plant, specifically including the energy conversion efficiency, the electricity storage system efficiency, the heat storage system efficiency, and the total energy storage system efficiency, which are used to measure the operation of the integrated energy efficiency power plant.

[0201] The energy obtained within the integrated energy efficiency power plant system is the sum of the energy generated by the internal functional equipment of the system and the energy provided by the outside world. Based on the second law of thermodynamics, the conversion of energy of different qualities into heat energy is compared and analyzed, and the energy conversion efficiency B is constructed. eff The index is expressed as:

[0202]

[0203] In the formula, Q e is the electric energy consumed by a certain final product or service of the integrated energy efficiency power plant, with the unit of kW·h; Q h is the heat energy consumed by a certain final product or service of the integrated energy efficiency power plant, with the unit of MJ; q Low is the lower calorific value of natural gas, with the unit of MJ / m 3 ; V g is the consumption of natural gas, with the unit of m 3 ; Q grid is the electricity purchased from the large power grid, with the unit of kW·h; ε e , ε h are the conversion coefficients of unit electric energy and heat energy respectively.

[0204] The efficiency B of the electrical energy storage system sto,e is the ratio of the discharged electricity of the electrical energy storage system to the stored electricity, and is expressed as:

[0205]

[0206] In the formula, S ESS,dis , S ESS,ch are the total discharged and charged electricity of the energy storage respectively.

[0207] The efficiency B of the heat energy storage system sto,h is the ratio of the released heat of the heat energy storage system to the stored heat, and is expressed as:

[0208]

[0209] In the formula, S HTS,dis , S HTS,ch are the total released heat and stored heat of the heat energy storage system respectively.

[0210] The total efficiency B of the energy storage system sto is the ratio of the sum of the energies released by the electrical energy storage and heat energy storage systems to the sum of the stored energies, and is expressed as:

[0211]

[0212] The cost-benefit indicators of the integrated energy efficiency power plant are constructed, including: investment transformation cost, operation and maintenance cost, energy purchase cost, carbon trading cost, energy sales revenue, CCER revenue, which are used to measure the economy of the integrated energy efficiency power plant.

[0213] Build low-carbon emission reduction indicators for an integrated energy efficiency power plant, including: accounting for the total carbon emissions, carbon emissions during equipment operation, carbon capture emission reduction, CCER certification volume, emissions into the atmosphere, carbon quota purchase volume, net accounting carbon emissions, and carbon storage loss, which are used to measure whether the integrated energy efficiency power plant meets the characteristics of clean and low carbon.

[0214] Accounting for the total carbon emissions It is the sum of the carbon dioxide emissions during the process of the integrated energy efficiency system consuming primary energy to generate energy and the carbon emissions corresponding to the purchased electric energy, expressed as:

[0215]

[0216] In the formula, is the carbon dioxide emission factor for natural gas combustion; V g is the purchased natural gas volume; is the combined marginal carbon emission factor of the regional power grid where the integrated energy efficiency power plant is located; S e,buy is the purchased electric energy volume.

[0217] Carbon emissions during equipment operation It is the total carbon dioxide emissions during the process of the integrated energy efficiency system consuming primary energy to generate energy, expressed as:

[0218]

[0219] Carbon capture emission reduction E CCS It is the amount of carbon dioxide sequestered by the carbon capture system and is related to the power consumption of the carbon capture and desorption equipment, expressed as:

[0220]

[0221] In the formula, is the value of carbon dioxide that can be sequestered per unit of power consumed by the carbon capture and desorption equipment; S CCS,B is the power consumption of the carbon capture and desorption equipment.

[0222] CCER certification volume D CCER Expressed as:

[0223] D CCER = D CCER,CCS + D CCER,user

[0224] Emissions into the atmosphere It is the amount of carbon dioxide directly emitted into the atmosphere by the carbon capture system of the integrated energy efficiency power plant through the flue gas diversion valve, and its value is the carbon dioxide emissions of the integrated energy efficiency power plant equipment minus the carbon dioxide sequestered by carbon capture, expressed as:

[0225]

[0226] Net accounting carbon emissions D che,net It is the total carbon emissions accounted for the integrated energy efficiency power plant minus the carbon quota purchased in the carbon trading market, expressed as:

[0227]

[0228] Carbon storage loss D loss It is difficult to calculate by the direct method and is mostly calculated by the indirect method. Its value is equal to the difference between the equipment emissions and the sum of the carbon sequestration amount and the carbon amount discharged into the atmosphere by the carbon capture system, expressed as:

[0229]

[0230] Step 4: Determine the comprehensive evaluation value of the integrated energy efficiency power plant. Use the combined weighting method to process various indicators of the integrated energy efficiency power plant and obtain the comprehensive evaluation value.

[0231] (1) Use the analytic hierarchy process to determine the subjective weights U = [u1, u2,..., u n of n indicators.

[0232] (2) Conduct normalized data processing on n indicators to obtain the normalized decision matrix Y = [y1, y2,..., y n . Based on the normalized decision matrix Y, use the entropy weight method to determine the objective weights V = [v1, v2,..., v n of n targets.

[0233] (3) Use the least squares method to compromise between the subjective and objective weights and obtain the combined weight W = [w1, w2,..., w n , and the calculation formula is expressed as:

[0234]

[0235] (4) Based on the combined weight W, calculate the comprehensive evaluation value z i = Wy i .

[0236] Based on the same inventive concept, the embodiment of the present invention also provides an integrated energy efficiency power plant planning and evaluation system, including: a data acquisition module, a model building module, and an optimization solution module.

[0237] The data acquisition module is used to collect the multi-energy load curves of internal users in the integrated energy park; the physical parameters of integrated energy equipment; the electricity purchase, gas purchase prices, and carbon trading prices in the external market.

[0238] A model construction module for establishing a comprehensive energy efficiency power plant planning and evaluation model. The model is a two-layer optimization model. The upper-layer model considers equipment capacity planning based on economy, and the lower-layer model considers the optimal operation of a typical day based on carbon emission reduction.

[0239] An optimization solution module for optimizing and solving to obtain the optimal planning scheme of the comprehensive energy efficiency power plant according to a built-in program and obtaining the comprehensive evaluation value of the comprehensive energy efficiency power plant.

[0240] Furthermore, the embodiments of the present application can be provided as a method or a computer program product. Therefore, the present application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present application can be implemented in various computer languages, for example, object-oriented programming languages such as Java and interpreted scripting languages such as JavaScript.

[0241] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the specified functions in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0242] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means implements the specified functions in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0243] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide for implementing the specified functions in Figure 1 one process or multiple processes and / or blocksFigure 1 Steps of functions specified in one or more boxes.

[0244] It should be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the existence of additional identical elements in the process, method, article or device comprising the said element.

[0245] The above are only the preferred embodiments of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and modifications can be made, and these improvements and modifications should also be regarded as the protection scope of the present invention.

Claims

1. A planning and evaluation method for a comprehensive energy efficiency power plant, characterized in that: The steps include: S1. Collect the electricity purchase price, gas purchase price, carbon trading price and technical and economic parameters of integrated energy equipment from the integrated energy park to the external market, as well as the multi-energy load curve of internal users; S2. Construct a two-layer model for comprehensive energy efficiency power plant planning and evaluation that takes into account both economy and low carbon; The upper model is aimed at the equipment capacity planning of comprehensive energy efficiency power plants, with the goal of minimizing the total investment cost within the planning period, and performs economically optimized equipment configuration; The lower-level model optimizes the typical daily operation of comprehensive energy efficiency power plants and establishes a carbon emission reduction-oriented dispatch model. It takes the minimum typical daily operating cost taking into account carbon trading costs as the goal, and conducts coordinated control of equipment capacity planning and operation optimization. S3. Solve the optimal planning scheme for the comprehensive energy efficiency power plant, evaluate the equipment structure, operating energy efficiency, cost-effectiveness, and low-carbon emission reduction indicators of the comprehensive energy efficiency power plant, and build an indicator system for the comprehensive energy efficiency power plant. Establish a multi-level and multi-dimensional indicator system to evaluate the comprehensive energy efficiency power plant from the four dimensions of equipment structure, operating energy efficiency, cost-effectiveness, and low-carbon emission reduction; S4. Determine the optimal planning scheme and comprehensive evaluation value of the comprehensive energy efficiency power plant to improve the resource allocation efficiency and carbon emission control capabilities of the comprehensive energy efficiency power plant.

2. The comprehensive energy efficiency power plant planning and evaluation method according to claim 1 is characterized in that: The objective function of the upper model is to minimize the total investment cost within the planning period, which can be expressed as: F1=min(C inv,y +C om ) Where, F1 is the upper layer objective function; C inv,y is the equivalent annual value of equipment investment; y represents the number of years of equipment life cycle; C om The annual operation and maintenance cost of the equipment; The calculation formula for the equivalent annual value of equipment investment is: C inv,y =Ψ Y C inv In the formula, C inv For equipment investment; Y is the capital recovery factor; k i is the number of the i-th type of equipment; is the investment cost of a single unit of the i-th equipment; S i is the capacity of the i-th equipment; Φ is the set of equipment types, and the investment equipment types include: cogeneration, gas boiler, photovoltaic, battery, heat pump, heat storage tank and carbon capture equipment; The annual operation and maintenance cost of the equipment is expressed as: Where N is the total number of typical day types; D n is the number of days corresponding to typical day n; N is the total number of typical day types; is the single operation and maintenance cost of the i-th type of equipment.

3. The comprehensive energy efficiency power plant planning and evaluation method according to claim 2 is characterized in that: The constraints of the upper model include the upper limit constraint of project investment, the capacity constraint under the maximum operation mode, and the capacity constraint under the minimum operation mode, which are expressed as: In the formula, C inv,max S is the upper limit of the project investment amount; PV is the power generation capacity of the photovoltaic equipment; S e,CHP , S h,CHP are the power supply and heat supply capacity of the cogeneration equipment respectively; S GB is the heating capacity of the gas boiler equipment; S HP is the heating capacity of the heat pump equipment; S ESS , S HST is the capacity of the battery and heat storage tank; P is the coefficient of the maximum discharge and heat release power of the battery and heat storage tank and its corresponding capacity; e,load,max , P h,load,max are the maximum electrical and thermal load peaks within the system; P e,load，min , P h ,load,min They are the minimum electric and thermal load valley values ​​within the system respectively.

4. The comprehensive energy efficiency power plant planning and evaluation method according to claim 1 is characterized in that: The objective function of the lower model is to minimize the operating cost of the system, which is expressed as: Where F2 is the lower layer objective function; C pur The cost of purchasing energy for the system; is the carbon trading cost; C CCER Certify voluntary emission reduction benefits for countries; System energy purchase cost C pur , including the cost of purchasing electricity and gas, is expressed as: Where T is the total number of time periods per day, and t∈{T1,T2,T3} are the peak, flat, and valley time periods in a typical day n, respectively; The power purchased from the upper power grid during period t in a typical day n; is the electricity purchase price for the period t during the period n on a typical day; The amount of natural gas purchased during the period t in a typical day n; is the natural gas price on a typical day n; Carbon trading costs It is expressed as: In the formula, is the carbon price per unit of carbon dioxide in the carbon market; The amount of carbon emission rights purchased from the carbon trading market for comprehensive energy efficiency power plants; CCER income C CCER It is expressed as: C CCER =π CCER D CCER In the formula, π CCER is the unit carbon price in the CCER trading market; D CCER It is the CCER certified amount.

5. The comprehensive energy efficiency power plant planning and evaluation method according to claim 4 is characterized in that: The constraints of the lower model include: electric and thermal power balance constraints, and operation constraints of various types of equipment in the comprehensive energy efficiency power plant; The electrothermal power balance constraint is expressed as: In the formula, They are the electric and thermal load powers of the comprehensive energy efficiency power plant during the period t in a typical day n; is the power generated by photovoltaic power in the period t during a typical day n; is the power generated by the CHP equipment during period t in a typical day n; is the electric power of the energy storage device during the period t in a typical day n; is the electrical power consumed by the carbon capture system during time period t in a typical day n; is the electrical power consumed by the heat pump during period t in a typical day n; The thermal power provided by the gas boiler during the period of time n in a typical day; The thermal power provided by the CHP plant during the period t in a typical day n; The heat power provided by the heat pump during the period t in a typical day n; is the thermal power of the heat storage tank during period t in a typical day n; The operation constraints of various types of equipment in the comprehensive energy efficiency power plant, including: the operation constraints of CHP equipment, the operation constraints of GB equipment, the operation constraints of photovoltaic equipment, the operation constraints of heat pump equipment, the operation constraints of battery equipment, the operation constraints of heat storage tank equipment and the energy consumption constraints of carbon capture system; Among them, the operating constraints of the CHP equipment are expressed as: In the formula, The power and heating capacity of the CHP equipment during the period t in a typical day n; is the power generation of the gas turbine and low-temperature waste heat power generation device during the period t in a typical day n; is the heat generation power of the gas turbine during the period t in a typical day n; S e,CHP , S h,CHP They are the power supply capacity and heating capacity of CHP equipment respectively; S e,GT , S h,GT They are the power supply capacity and heating capacity of GT equipment respectively; S e,ORC Power supply capacity for ORC equipment; is the gas consumption of the CHP equipment during period t in a typical day n; is the proportion of waste heat generated by GT during period t of a typical day n allocated to WHB for heat generation; WHB is the thermal conversion efficiency of WHB; β e,GT , β h,GT They are the electricity and heat production efficiencies of GT respectively; is the calorific value of natural gas; is the proportion of waste heat generated by GT during period t in a typical day n that is allocated to ORC for electricity generation; The operating constraints of GB equipment are expressed as: In the formula, S is the heat generation power of GB equipment in the period t of a typical day n; GB GB device capacity; The operating constraints of the photovoltaic equipment are expressed as: In the formula, S is the maximum value of the power that can be generated by photovoltaic power in the period t of a typical day n; PV is the capacity of photovoltaic; The operating constraints of the heat pump equipment are expressed as: In the formula, is the heat production power of the heat pump during period t in a typical day n; is the power consumption of the heat pump during period t in a typical day n; β HP is the electric-to-heat conversion coefficient of the heat pump; is the upper limit of the heat generation power of the heat pump; The operating constraints of the battery equipment are expressed as: In the formula, is the final charge and discharge power of the energy storage during period t in a typical day n; is the charging and discharging power of the energy storage during period t in a typical day n; is the charge and discharge state variable of the energy storage in the t period of a typical day n, which is a binary 0-1 variable; P ESS,ch,max , P ESS,dis,max The upper limit of the charging and discharging power of the energy storage; β ESS,ch , β ESS,dis The charging and discharging efficiency of the electric energy storage; The operating constraints of the heat storage tank equipment are expressed as: In the formula, is the final heat storage and release power of the heat storage tank during period t in a typical day n; is the heat storage and heat release power of the heat storage tank during period t in a typical day n; is the heat storage and release state variable of the heat storage tank in the t period of a typical day n, which is a binary 0-1 variable; is the upper limit of the heat storage and release power of the heat storage tank; β HST,ch , β HST,dis The heat storage and release efficiency of the heat storage tank; The energy consumption constraint of the carbon capture system is expressed as: 0≤P t CCS,B ≤P CCS,B,max Where P t CCS,B P is the energy consumption of the carbon capture and analysis tower; CCS,B,max It is the power of the carbon capture and desorption tower under maximum operating conditions.

6. The comprehensive energy efficiency power plant planning and evaluation method according to claim 1 is characterized in that: Solving the optimal planning scheme for the comprehensive energy efficiency power plant includes the following sub-steps: S3.

1. In the two-layer model of comprehensive energy efficiency power plant planning and evaluation, the upper model is the equipment capacity planning based on economy, with the goal of minimizing the total investment cost within the planning period, and deciding the capacity of waste heat boilers and waste heat power generation equipment for transforming cogeneration equipment, and the capacity of investing in new photovoltaic, battery, heat pump, heat storage tank and carbon capture system, and passing it to the lower model as boundary conditions; S3.

2. The lower model uses the planned capacity obtained by the upper model as a constraint condition, takes the cumulative value of the energy purchase cost and the carbon trading cost minus the CCER income as the minimum objective function, determines the internal equipment operation status of the comprehensive energy efficiency power plant on a typical day, and feeds back the system scheduling strategy and equipment operation status obtained by the lower optimization to the upper model; S3.3: The upper and lower layer models are interactively iterated and optimized. If the convergence condition is not met, the system returns to S3.

1. If the convergence condition is met, the optimal solution obtained by the model is output.

7. The comprehensive energy efficiency power plant planning and evaluation method according to claim 1 is characterized in that: Construct equipment structure indicators for comprehensive energy efficiency power plants, including green energy penetration rate, electricity storage capacity ratio, heat storage capacity ratio and green energy supply ratio, which are used to measure the configuration of clean energy and energy storage equipment in comprehensive energy efficiency power plants; Green electricity penetration rateA gre,s It is the ratio of the total capacity of green power equipment to the total capacity of energy supply equipment in the comprehensive energy efficiency power plant, expressed as: In the formula, S gre is the total capacity of green power equipment; S grid is the capacity of the interconnection line; S i is the capacity of device i; Φ is the device collection; Storage capacity ratio A sto,e and heat storage capacity ratio A sto,h Respectively expressed as: In the formula, S ESS is the discharge capacity of the electrical energy storage; is the power supply capacity of device i; S HST is the heat release capacity of the heat storage tank; is the heating capacity of equipment i; Green electricity supply ratioA gre The energy generated by green power equipment in the comprehensive energy efficiency power plant accounts for the proportion of the total energy generated by the comprehensive energy efficiency power plant, expressed as: In the formula, Q gre Provides energy for green power equipment; Q grid The amount of electricity purchased from the large power grid; Q i is the energy supply of device i; e is the conversion factor of unit electric energy; Constructing the operation energy efficiency index of comprehensive energy efficiency power plants, including: energy conversion efficiency, power storage system efficiency, heat storage system efficiency and total energy storage system efficiency, which are used to measure the operation of comprehensive energy efficiency power plants; The energy obtained in the comprehensive energy efficiency power plant system is the sum of the energy generated by the functional equipment inside the system and the energy provided to it by the outside world. Different qualities of energy are converted into heat energy for comparative analysis, and the energy conversion efficiency B is constructed. eff Indicators, expressed as: In the formula, Q e The amount of electrical energy consumed for the final product or service of the integrated energy efficiency power plant; Q h Thermal energy consumed for the final product or service of an integrated energy efficiency power plant; Low V is the lower calorific value of natural gas; g is the natural gas consumption; Q grid The amount of electricity purchased from the large power grid; e , ε h are the conversion coefficients of unit electrical energy and thermal energy respectively; Energy storage system efficiency B sto,e It is the ratio of the amount of electricity released by the energy storage system to the amount of electricity stored, expressed as: In the formula, S ESS,dis , S ESS,ch are the total discharge and charge power of energy storage respectively; Thermal storage system efficiency B sto,h is the ratio of the heat released by the heat storage system to the heat stored, expressed as: In the formula, S HTS,dis , S HTS,ch are the heat release and total heat storage of the heat storage system respectively; Energy storage system total efficiency B sto It is the ratio of the sum of energy released by the electric energy storage and heat storage system to the sum of stored energy, expressed as:

8. The comprehensive energy efficiency power plant planning and evaluation method according to claim 7 is characterized in that: Construct cost-benefit indicators for comprehensive energy efficiency power plants, including: investment and transformation costs, operation and maintenance costs, energy purchase costs, carbon trading costs, energy sales revenue, and CCER revenue, to measure the economic feasibility of comprehensive energy efficiency power plants; Construct low-carbon emission reduction indicators for comprehensive energy efficiency power plants, including: total carbon emission value, equipment operation carbon emission value, carbon capture emission reduction, CCER certification, emission into the atmosphere, purchase of carbon quota, net carbon emission, carbon storage loss, to measure whether the comprehensive energy efficiency power plant meets the clean and low-carbon characteristics; Calculating the total carbon emissions It is the sum of the carbon dioxide emitted in the process of consuming primary energy to generate energy by the comprehensive energy efficiency system and the carbon emissions corresponding to the purchased electricity, expressed as: In the formula, is the carbon dioxide emission factor of natural gas combustion; V g is the amount of natural gas purchased; is the combined marginal carbon emission factor of the regional power grid where the comprehensive energy efficiency power plant is located; S e,buy The amount of electricity purchased; Carbon emissions from equipment operation The total amount of carbon dioxide emitted in the process of consuming primary energy to generate energy for the comprehensive energy efficiency system is expressed as: Carbon capture emission reduction E CCS The amount of carbon dioxide stored by the carbon capture system is related to the power consumption of the carbon capture and analysis equipment and is expressed as: In the formula, The carbon dioxide value that can be stored per unit of electricity consumed by the carbon capture analysis equipment; S CCS,B The amount of electricity consumed by the carbon capture and analysis equipment; CCER certification quantity D CCER It is expressed as: D CCER =D CCER,CCS +D CCER,user Amount discharged into atmosphere The amount of carbon dioxide directly discharged into the atmosphere by the carbon capture system of the comprehensive energy efficiency power plant through the flue gas diversion valve. The value is the amount of carbon dioxide emitted by the comprehensive energy efficiency power plant equipment minus the amount of carbon dioxide stored by carbon capture, expressed as: Net carbon emissionsD che,net The total carbon emission value calculated for the comprehensive energy efficiency power plant minus the carbon quota purchased in the carbon trading market is expressed as: Carbon storage loss D loss Calculated by the indirect method, it is equal to the difference between the equipment emissions and the sum of the carbon stored in the carbon capture system and the carbon discharged into the atmosphere, expressed as:

9. The comprehensive energy efficiency power plant planning and evaluation method according to claim 1 is characterized in that: The various indicators of the comprehensive energy efficiency power plant are processed by the combined weighting method to determine the comprehensive evaluation value of the comprehensive energy efficiency power plant, including the following sub-steps: S4.

1. Use the analytic hierarchy process to determine the subjective weights of n indicators U = [u1, u2, ..., u n ]; S4.

2. Perform normalized data processing on n indicators to obtain a normalized decision matrix Y = [y1, y2, ..., y n ], based on the normalized decision matrix Y, the entropy weight method is used to determine the objective weights V of n targets = [v1, v2, …, v n ]; S4.3, using the least squares method, taking into account the subjective and objective weights, the combined weight W = [w1, w2, ..., w n ], the calculation formula is expressed as: In the formula, y i 、w i They represent the normalized data and combined weight of the i-th indicator respectively; S4.

4. Based on the combined weight W, the comprehensive evaluation value z of the comprehensive energy efficiency power plant is calculated. i =Wy i .

10. A comprehensive energy efficiency power plant planning and evaluation system, used to implement the comprehensive energy efficiency power plant planning and evaluation method according to any one of claims 1 to 9, characterized in that: include: Data collection module, model building module and optimization solution module; The data acquisition module is used to collect the multi-energy load curves of users within the integrated energy park, various physical parameters of integrated energy equipment, electricity and gas purchase prices, and carbon trading prices in the external market; The model building module is used to establish a comprehensive energy efficiency power plant planning and evaluation model, which is a two-layer optimization model. The upper model considers equipment capacity planning based on economy, and the lower model considers typical daily optimization operation based on carbon emission reduction; The optimization solution module is used to optimize and solve the optimal planning scheme of the comprehensive energy efficiency power plant according to the built-in program and obtain the comprehensive evaluation value of the comprehensive energy efficiency power plant.

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