150 results about "Economic evaluation" patented technology

The invention discloses a land sedimentary basin deep saline water layer gas storage site selection method, which comprises the following steps of: preliminarily delineating a plurality of first candidate areas through judgment of basic geological conditions and hydrogeological conditions; further delineating a second candidate area through reservoir parameter quantitative evaluation, cover layer integrity evaluation, reservoir fracture connectivity evaluation and injection-production process pressure field change dynamic simulation; performing security assessment on the second candidate region; performing economic evaluation on the second candidate region; constructing an index system based on technical, safety and economic indexes, setting the weight of each index, and performing suitability scoring on each second candidate region; selecting the second candidate area with the suitability score meeting the requirement as a gas storage construction preselection point; and the built gas storage in the area adjacent to the gas storage building pre-selection point or the gas storage building pre-selection point verified to be qualified is selected as the gas storage to be put into use. The method can select a suitable site for large-scale safe natural gas storage, and is rapid and efficient to implement and suitable for popularization.

The invention relates to an economic evaluation method and system for in-situ conversion of medium and low-cooked shale, and belongs to the technical field of shale oil development. Comprising the following steps: 1) establishing a medium-low mature shale in-situ conversion geological model; 2) constructing a three-dimensional heat conduction equation, setting a definite solution condition, and solving the three-dimensional heat conduction equation in combination with the thermophysical parameters to obtain a temperature field on each time-space node in the medium-low mature shale in-situ conversion geological model; the method comprises the steps of (1) obtaining a dynamic hydrocarbon generation process, (2) obtaining a hydrocarbon generation kinetic parameter, (3) obtaining a total energy output, (5) obtaining a total energy input in a heating process, and (6) calculating an energy consumption ratio (ER), and carrying out economic feasibility evaluation of a shale in-situ conversion technology. The method can calculate a dynamic hydrocarbon generation process at any time and position in a shale bed in real time, and obviously improves the prediction precision of the hydrocarbon generation amount.

The invention discloses an office building energy-saving reconstruction method based on neural network optimization, and belongs to the field of office building energy conservation, and the method comprises the steps: carrying out the energy audit of a target building, and obtaining the field investigation data; calculating the field research data based on DeST software, and constructing a building energy consumption model; based on the building energy consumption model, performing energy consumption simulation on various external enclosure structure energy-saving reconstruction scheme combinations to obtain energy consumption data under different enclosure structure combinations; constructing an ANN neural network model, and inputting the historical data set into the ANN neural network model to obtain a prediction model; inputting the energy consumption data under different enclosure structure combinations into the prediction model to obtain an optimal energy-saving scheme; and performing technical economic analysis and environmental economic evaluation on the optimal energy-saving scheme, and generating an energy-saving transformation report.

The invention discloses a land value evaluation method and system based on multi-source heterogeneous data fusion, and relates to the technical field of land economic evaluation. The invention discloses a land value evaluation method and system based on multi-source heterogeneous data fusion. The method comprises four steps of multi-source data acquisition and preprocessing, standardized evaluation index quantification, index weighted fusion and value calculation, and value distribution diagram generation and output. Firstly, four types of data of background status, planning, market feedback and social perception are acquired and preprocessed; secondly, constructing a hierarchical index system to quantify indexes; determining a weight through an analytic hierarchy process and calculating a land value index according to a preset formula; and finally generating a value distribution diagram in a thermodynamic diagram form. The method realizes standardization, high efficiency and visualization of land value evaluation, can be applied to the fields of city updating, land market monitoring, government planning decision making and the like, and provides scientific support for related decision making.

The invention discloses a wind turbine generator life extension dynamic evaluation method and system based on multi-source data fusion, and belongs to the technical field of new energy. According to the method, multi-modal detection is carried out on key parts such as blades, a gearbox, a generator and a tower by collecting multi-source data such as basic parameters, historical operation data, environmental data and design files of a wind turbine generator, and residual life evaluation is carried out based on material performance, operation data and numerical simulation. And performing economic evaluation by combining cost-benefit analysis and investment payback period analysis, and finally comprehensively giving a life extension dynamic evaluation conclusion. The method solves the problems of data island, insufficient dynamic prediction capability, lack of economic analysis, low detection efficiency and the like in a traditional evaluation method, provides a scientific and comprehensive basis for the decision-making of the life extension of the wind turbine generator, and has remarkable economic benefits and engineering application values.

The invention discloses a power transmission and transformation project economic evaluation method, system, equipment and medium fusing adaptive fuzzy entropy weighting and a multi-target grey wolf optimization algorithm, and belongs to the technical field of power system economic analysis, and the method comprises the steps: constructing an economic index system, building a fuzzy membership matrix, and calculating an index weight through combining fuzzy entropy and information entropy; a comprehensive weight is generated by adopting a self-adaptive fusion mechanism, then a multi-target weighted evaluation model is constructed, and finally multi-target search is performed by utilizing a swarm intelligence optimization algorithm. According to the invention, by constructing a self-adaptive weighting mechanism fusing the fuzzy entropy and the information entropy and combining the global search capability of the multi-target grey wolf optimization algorithm, multi-index weight dynamic optimization and multi-target cooperative solution in the economic evaluation of the power transmission and transformation project are realized; the method effectively overcomes the limitation of a traditional method in the aspects of weight distribution subjectivity, insufficient index coupling processing and multi-target balance, and forms a closed-loop evaluation system from index processing to intelligent decision making.

The invention discloses a site-level CCUS dynamic source-sink matching optimization method for an oil field enterprise, relates to the technical field of large-scale deployment of carbon capture, utilization and storage of the oil field enterprise, and particularly relates to the site-level CCUS dynamic source-sink matching optimization method for the oil field enterprise. Comprising the following steps: integrating a carbon source end full life cycle technical economy evaluation system and a storage target area'geology-potential-economy 'three-dimensional grading model to form a dynamic database; on the basis of the dynamic database, a mixed integer linear programming model fusing source sink dynamic priority coefficients is constructed, three scenes of cost minimization, oil displacement income maximization and carbon sink subsidy excitation are set, and a constraint system is coupled; according to the method, carbon source technology economic evaluation and storage target area three-dimensional grading are fused, the specific injection-production cycle, policy incentive and pipe network constraint of an oil field are converted into time-varying weight coefficients, traditional static optimization limitation is broken through, and site-level source-sink dynamic accurate matching is achieved.

The invention provides a comprehensive evaluation method and system for economical efficiency of an ammonia diesel dual-fuel generator, and relates to the technical field of generators, the method comprises the following steps: obtaining ammonia fuel and diesel mass flow and unit price in real time to generate fuel cost parameters, and combining a load state and power generation efficiency to construct a power generation income model; triggering a heat loss, ammonia escape and emission penalty calculation module based on the fuel cost and the power generation income to obtain a corresponding penalty value; and inputting the penalty values into an economic evaluation model for coupling calculation, generating economic benefit indexes, and feeding the economic benefit indexes back to a fuel proportioning controller for closed-loop optimization. According to the method, the operation benefit of the system is improved through multi-dimensional economic evaluation, the operation cost is reduced by 25%, ammonia escape is reduced by 50%, NOx emission is reduced by 40%, and the stability of the system is improved by 35%.

The invention discloses an energy storage system economy evaluation method and system and a storage medium, and belongs to the technical field of energy storage systems. Comprising the following steps: acquiring operation data, power market transaction data and equipment state data of an energy storage system in real time through a multi-source data acquisition module; a dynamic feature engineering module is used for screening key influence factors, and a comprehensive evaluation index system fusing market features, technical features and environment features is constructed; constructing an economy prediction model based on an LSTM neural network, inputting the data of the comprehensive evaluation index system into the economy prediction model, and outputting a multi-time scale economy evaluation result, including short-term income prediction, medium-term probabilistic income interval and long-term attenuation correction evaluation; and a revenue-risk balanced charging and discharging strategy is generated through a reinforcement learning algorithm, a strategy effect is rehearsed in a digital twin environment, and high-risk operation is dynamically adjusted. And the precision and adaptability of economic evaluation of the energy storage system can be remarkably improved.

The invention provides a comprehensive evaluation method, system and device based on single coke quality and mixed coke use and a readable storage medium, and the method comprises the steps: constructing a multi-layer progressive evaluation system from single coke quality evaluation to mixed coke performance prediction, and then to economical efficiency dynamic optimization; performing quantitative evaluation on the quality of the single coke through the basic evaluation layer to obtain a quality index; predicting a synergistic effect of various coke proportions through the mixing performance layer, and determining a mixing performance index; performing cost analysis on the proportioning scheme by combining an economic evaluation layer with price fluctuation to obtain a cost performance index; and a plurality of matching schemes are generated through the dynamic optimization layer, and an optimal solution meeting balance of quality, performance and cost is output.

The invention discloses an industrial element association reasoning method based on a space-time knowledge graph. The method comprises the following steps: S1, encoding space-time characteristics of industrial association information; s2, constructing a spatio-temporal enhanced relation graph; s3, topological feature representation under the space-time condition; and S4, performing entity-level dynamic reasoning on the industrial elements. According to the method, the structural generalization ability of the pre-trained knowledge graph basic model is fused, a spatial-temporal feature coding mechanism is introduced, dynamic reasoning of industrial evolution paths in different regions and different periods is realized by constructing the relation graph with spatial-temporal attributes, and the method can be widely applied to scenes such as urban industrial planning, regional economic evaluation and industrial chain optimization and has a wide application prospect. The intelligent level of government decision-making and the efficiency of enterprise strategy deployment are improved, and accurate decision-making support is provided for industrial analysis, policy making and the like.

The invention relates to the technical field of metal material fracture resistance testing, in particular to a prediction method for fracture toughness of a polar region ship composite steel plate under different thicknesses, and the method comprises the following specific steps: S1, material selection and performance testing; s2, carrying out a fracture test; s3, modeling and simulation: performing modeling on the composite steel plate samples with different composite layer thicknesses, and performing fracture behavior simulation; s4, model establishment and parameter fitting; and S5, model verification and application. According to the method, the layer thickness ratio Rt is used as a key research parameter, the fracture toughness change rule of the polar ship composite steel plate under different composite layer thicknesses can be systematically represented, and the fracture toughness prediction model based on the layer thickness ratio is established, so that the problems of complexity and high cost caused by one-by-one test on all the composite layer thicknesses in a traditional method are effectively solved; therefore, the actual engineering requirements of rapid fracture resistance design and economic evaluation of the polar ship composite steel plate are met, the test quantity is small, the period is short, and the cost is low.

The embodiment of the invention discloses an economic evaluation method, device and equipment for a high-power lithium battery energy storage system and a medium. The method comprises the following steps: determining a battery dynamic equivalent cycle conversion factor based on a target energy storage battery; determining a system battery replacement cost parameter and an energy loss cost parameter according to the battery dynamic equivalent cycle conversion factor; determining a full life cycle cost model of the energy storage system based on the system battery replacement cost parameter and the energy loss cost parameter; according to the energy storage system full-life-cycle cost model and the energy storage system full-life-cycle income model, constructing an economy evaluation model; and based on the economy evaluation model, carrying out energy storage system full life cycle economy evaluation on the target energy storage system. According to the technical scheme of the embodiment of the invention, the accuracy of the full-life-cycle economic evaluation of the high-power lithium battery energy storage system can be improved.

The invention discloses a land-sea integrated full-process CO2 geological utilization and storage project technical economic evaluation method and tool. The method comprises the following steps: S1, evaluating and delimiting a full-process CO2 geological utilization and storage range; step S2, an evaluation process; s3, selecting a full-process CCUS technical scheme; and S4, carrying out full-process CCUS technical economic evaluation. The invention relates to the technical field of environmental science and engineering. According to the land-sea integrated full-process CO2 geological utilization and storage project technical economic evaluation method and tool, the problem of how to obtain information such as a technical scheme, cost budget, project layout and planning of a full-process CO2 geological utilization and storage project suitable for an enterprise or a technical and economic environment under the condition of lacking CO2 storage project experience and data is solved; and the feasibility of project development is provided.

The invention discloses an agricultural and pastoral area water network irrigation area project scale layout determination method and system. The method comprises the following steps: collecting agricultural and pastoral area data, gridding an agricultural and pastoral area, constructing a topographic feature matrix, calculating the rainfall of each grid, calculating an evapotranspiration value, performing water-soil balance calculation, extracting a plurality of drought centers and dividing the agricultural and pastoral area into a plurality of sub-areas; calculating the water inflow of each sub-region, drawing a water layer distribution diagram, determining a water intake, and constructing a water source engineering layout scheme of each sub-region; extracting a water source project water outlet of each sub-region, determining an irrigation system and constructing a drainage project in combination with irrigation area topographic data, and obtaining an irrigation area project layout scheme of each sub-region; an evaluation index system is constructed, an economic evaluation model is constructed, comprehensive benefit scores of the water network irrigation area project layout schemes are calculated, and the scheme with the highest score is the agricultural and pastoral area water network irrigation area project scale layout scheme. The water resource utilization efficiency is improved, and reasonable configuration and sustainable utilization of water resources in agricultural and pastoral areas are achieved.

The invention relates to a salt cavern integrated energy system full life cycle economic evaluation method, and the method comprises the steps: obtaining electric energy supply and demand data in a target region, and building a mathematical model of a salt cavern integrated energy system based on the electric energy supply and demand data and at least one salt cavern geological parameter; based on the mathematical model, an objective function is determined with the maximum comprehensive economic benefit in the whole life cycle, and a double-layer optimization model of the salt-cavern comprehensive energy system is established; and performing multi-scene evaluation by using a double-layer optimization model to perform modeling and optimization solution on each scene to obtain economy of the system in different scenes, and determining the optimal configuration of the salt cavern integrated energy system according to the economy of the system in different scenes. Therefore, the problems that the overall value is difficult to accurately evaluate and the scientificity of investment decision and the rationality of resource allocation are influenced due to the fact that a static analysis mode is adopted in related technologies and multiple factors such as related complex technologies, economy and environment are not fully considered are solved.

The invention relates to the technical field of regional economic evaluation, and discloses an evaluation method based on regional industrial economic collaborative development. The method comprises the following steps: constructing an evaluation index system including regional economic core indexes and industrial correlation indexes; collecting economic operation basic data of multiple industrial departments and carrying out standardized preprocessing according to an index system; calculating an inter-industry input-output association strength coefficient based on the standardized data, and establishing an industry association network topological graph; identifying a dominant industry and matched support industry set by using the topological graph; analyzing resource element flow data between the two, and quantifying an inter-industry collaborative complementary effect value; combining the correlation strength coefficient and the synergistic effect value to calculate a regional overall industry collaboration degree index; setting an evaluation benchmark and comparing, and judging a development grade; and outputting an evaluation report containing the topological graph, the collaboration degree index and the grade conclusion, and generating an industrial policy optimization adjustment suggestion list according to the evaluation report.

The invention discloses a parameter optimization method and device for oil reservoir development, equipment and a storage medium, and relates to the technical field of oil reservoir development. Comprising the steps that oil field geological parameters, well location and operation parameters, injection parameters and economic evaluation parameters are obtained and input into a numerical simulator to complete initialization, and oil reservoir state change data and development effect indexes are calculated; generating a first data set representing the corresponding relationship among the parameters, the oil reservoir state and the development effect by combining a particle swarm optimization algorithm; a second data set containing multiple expert tracks is obtained through screening and data enhancement processing, and the expert tracks reflect time sequence evolution of the oil reservoir state under the action of the injection parameters; inputting the expert track into a preset inverse reinforcement learning model, and screening a target expert track according to the strategy network update amplitude and the discriminator probability value; and finally, optimizing the input parameters based on the target expert trajectory to obtain optimal parameters. Intelligent optimization of oil reservoir parameters is realized, optimization efficiency and suitability are improved, and development benefits are guaranteed.

The invention belongs to the technical field of clean energy, particularly relates to a hydrogen production project economic evaluation method and system and electronic equipment, and aims to solve the problem that an existing hydrogen production project evaluation method is not accurate enough. The method comprises the following steps: acquiring each cash flow index influencing the corrected cash flow; analyzing the cash flow indexes of the tth year to obtain the correction probability of each cash flow index, and calculating the hydrogen production item correction cash flow of the tth year based on each cash flow index and the correction probability of each cash flow index; based on the corrected cash flow, calculating to obtain a corrected hydrogen production item net present value; and calculating the internal investment return rate of the corrected hydrogen production project based on the net present value of the corrected hydrogen production project. According to the method, the cost and income constituent elements of the hydrogen production project are comprehensively analyzed, the dynamic change condition of each actual influence factor is considered, and the obtained conclusion is more accurate and real.

The application discloses a kind of innovation chain and industry chain synergic diagnosis method and system of fusion multi-source data, belong to regional economic evaluation and artificial intelligence data processing technical field.The purpose is to solve the problem of existing evaluation method relying on single structured data, lack of depth decision-making ability.The method includes: collecting the scientific research and industrial structured index of target area and policy text unstructured data;Quantify policy synergy effectiveness index using natural language processing technology;Introduce market mechanism parameters, build a nonlinear double-track correction model to dynamically correct the original data, calculate the real fusion coordination degree;Based on the modified multi-dimensional characteristics, structured prompt words are constructed to drive the pre-trained large language model to automatically generate synergy short board diagnosis report and decision optimization suggestion.The application realizes the improvement of evaluation comprehensiveness and accuracy, reduces the influence of pseudo-fusion, realizes the integration of intelligent diagnosis of measurement-cause-suggestion.

The invention relates to the technical field of electric digital data processing, in particular to an economic evaluation method for a compressed air energy storage system participating in wind and light absorption, which comprises the following steps of: respectively constructing mathematical models, a wind power uncertainty model and a photovoltaic uncertainty model of a plurality of components in the compressed air energy storage system; the wind and light uncertainty of the compressed air energy storage system is obtained, and compressed air energy storage and the wind and light uncertainty in the compressed air energy storage system are regarded as game subjects to obtain an optimal scheduling strategy of the compressed air energy storage system. And performing economic evaluation on the compressed air energy storage system in combination with the optimal scheduling strategy, the mathematical model, the plurality of constraint terms and the robust optimization cost to obtain an economic evaluation result of the compressed air energy storage system participating in wind and light absorption. Therefore, the technical problem that the compressed air energy storage system is difficult to effectively assess from the perspective of wind and light absorption due to the fact that an uncertainty model is rough and does not comprehensively consider the destructive effect of wind and light on a power grid is solved.

The invention belongs to the technical field of oil field economic evaluation, and discloses an evaluation method for ascertaining an undeveloped full life cycle reserve value. The method comprises the following steps: obtaining development data and public evaluation parameters of a target block; calculating an extracted yield value NPV1; calculating the value of unextracted reserves without risk consideration; calculating a reserve risk coefficient R1 and a yield risk coefficient R2; calculating an unextracted reserve value NPV2; and calculating the full life cycle reserve value of the target block. According to the method, full-life-cycle reserve value evaluation is fully considered, the application of the yield risk to the reserve value is considered, the two-point equation is adopted to calculate the reserve risk coefficient, and the method is very scientific and accurate.

The present invention provides a method, system, electronic device and medium for optimizing the configuration and economic evaluation of multiple energy storages, belonging to the technical field of power systems, and comprising the following steps: Step S1, obtaining the current situation of new energy installed capacity and future development trend information within the administrative region; Step S2, constructing an optimization configuration model for multiple energy storages; Step S3, solving the optimization configuration model for multiple energy storages to obtain the optimal configuration scheme for multiple energy storages; Step S4, conducting economic evaluation by combining two types of long-term and short-term energy storage regulation devices, namely pumped storage and electrochemical energy storage. By adopting the above-mentioned method, system, electronic device and medium for optimizing the configuration and economic evaluation of multiple energy storages, reasonably planning and investing in these two types of energy storage facilities not only helps to solve the problem of new energy surplus, but also can significantly reduce the dependence on thermal power units and smooth the annual net load curve, thereby improving the stability and economy of the power system.

The invention relates to the technical field of electric power systems and energy, and discloses an economic evaluation method and system for improving the consumption capability of a distributed power supply by an energy storage system. The method comprises the following steps: determining key economic indexes, collecting related data, constructing a simulation model and a scoring standard, then determining index weights by using an analytic hierarchy process and a CRITIC weight method, and combining the weights to calculate a comprehensive weight. And finally, constructing an economic evaluation model to evaluate a scheme for improving the distributed energy consumption capability of the energy storage system. According to the technical scheme, the environmental influence of the energy storage system is considered, the evaluation standard of the environmental carbon value is added into the economical efficiency evaluation model, the energy storage system can be promoted to achieve the dual-carbon target, and by evaluating the influence of the energy storage system on environmental carbon emission, the energy storage system can be promoted to develop in the more environment-friendly and more sustainable direction.

A micro-grid economic operation state evaluation method based on machine learning comprises the following steps: collecting micro-grid original operation data and performing data cleaning, normalization processing and principal component feature dimension reduction to extract key time sequence features reflecting economic fluctuations; a multi-dimensional economic evaluation index system covering conventional generating unit generation cost, grid interaction cost and energy storage aging cost is established; a long short-term memory network with attention mechanism is used to mine the deep correlation between time sequence features and operation state, and output economic evaluation values in each dimension; the economic evaluation values in each dimension are weighted and integrated based on the objective assignment method to calculate the overall economic state score of the system; the health interval of the micro-grid is judged in real time according to the comprehensive economic score, and a response mechanism is triggered for early warning. The method realizes real-time and high-precision evaluation and intelligent early warning of the economic state of the micro-grid operation, and improves the overall economic benefit of the system.

The invention provides a crowd health-oriented environment risk dynamic regulation and control method and a storage medium, relates to the field of public health, and systematically integrates macroscopic environment monitoring and demographic statistics data, multi-pollutant air quality health indexes and individual-level longitudinal queue data. A multi-pollutant air quality health index is used as priori knowledge through a constructed fusion module, an individual-level causal model is processed, a processed health risk function is coupled with a pollution control marginal cost function and refined health economic evaluation parameters, and a comprehensive optimization function is constructed. And performing probabilistic representation and propagation on uncertainty of all key parameters in the target function, finally solving to obtain a control threshold range with a confidence interval, re-substituting the optimized control threshold into the multi-pollutant air quality health index calculation framework, evaluating the risk level change of the multi-pollutant air quality health index calculation framework under a historical reference, and calculating the multi-pollutant air quality health index. And an empirical support from historical data is provided for the rationality and feasibility of an optimization result.

The embodiment of the invention relates to the technical field of seismic reservoir prediction, and particularly discloses a seismic reservoir prediction result evaluation method, which comprises the following steps: collecting and integrating historical data of a target seismic reservoir, generating standard acquisition data and a seismic reservoir prediction map, selecting a plurality of verification points, and performing error comparison verification. Geological constraint matching and reservoir simulation analysis are carried out on the seismic reservoir prediction map, and a confidence assessment level is generated and displayed; through collection and integration of historical data, construction of a seismic reservoir prediction map, acquisition of actual drilling data, error comparison verification, geological constraint matching and economic evaluation, comprehensive assessment analysis and generation of a confidence assessment level, a prediction result can be systematically, quantitatively, comprehensively and accurately assessed, and the accuracy of the prediction result is improved. The uncertainty risk of oil-gas exploration decision making is reduced, and the problems of resource waste, low development efficiency and the like are avoided.

The application provides a wind-solar-hydrogen storage system collaborative planning and economic evaluation method and device, belonging to the technical field of new energy and hydrogen energy system planning. The method: obtains input data of wind power and photovoltaic, processes known output or resource data mode according to the data type of the application scene, generates annual time sequence output sequence, and configures the operation time interval of the chemical device; determines the optimization variable, the objective function and the constraint condition based on the annual output sequence and the operation time interval, constructs a full-industry-chain collaborative optimization mathematical model; calls a solver to solve the model, obtains a capacity configuration scheme, links the dynamic financial parameters in the built-in database, uses a preset financial evaluation rule to calculate the economic evaluation index of the whole life cycle; and visually displays the capacity configuration scheme and the economic evaluation index of the whole life cycle. The application realizes full-industry-chain collaborative optimization and intelligent diagnosis through double-mode data and dynamic attenuation simulation.

This invention discloses a method and system for collaborative diagnosis of innovation chains and industrial chains that integrates multi-source data, belonging to the fields of regional economic evaluation and artificial intelligence data processing technology. It aims to address the problem that existing evaluation methods rely on single structured data and lack in-depth decision-making capabilities. The method includes: collecting structured indicators of scientific research and industry in the target region and unstructured data of policy texts; quantifying the policy synergy effectiveness index using natural language processing technology; introducing market mechanism parameters to construct a nonlinear dual-track correction model to dynamically correct the original data and calculate the true degree of fusion and coordination; constructing structured prompt words based on the corrected multi-dimensional features to drive a pre-trained large language model to automatically generate a collaborative weakness diagnosis report and decision optimization suggestions. This invention improves the comprehensiveness and accuracy of evaluation, reduces the impact of pseudo-fusion, and achieves integrated intelligent diagnosis of measurement, attribution, and suggestions.

The application discloses a kind of pumped storage power station weekly regulation external economic benefit intelligent evaluation method, belong to electric power system economic evaluation technical field.The technical problem to be solved is that existing method lacks the modeling ability of weekly regulation time scale, external economic benefit has not formed unified evaluation system, weight determination relies on artificial experience, qualitative index lacks standardization quantization method, and the stability of evaluation result is insufficient.The technical solution points are to construct a multi-level evaluation index system for weekly regulation, to establish a weekly scale operation scheduling model for pumped storage-power generation-backup coordination to quantify each index, to determine the comprehensive weight by using a three-source fusion game weighting method combining AI virtual expert, AHP subjective weighting and entropy weight method objective weighting, to obtain the comprehensive evaluation result by combining fuzzy comprehensive evaluation model, and finally to output comparative analysis and optimal decision suggestion under different operation modes.