936 results about "Pumped-storage hydroelectricity" patented technology

The invention discloses a pumped storage power station operation trend early warning analysis method and system. The method comprises the following specific steps: S1, data collection and preprocessing; s2, feature selection and construction: screening key features of internal operation data by combining a principal component analysis method with a Lasso regression method; s3, constructing a prediction model: taking external environment factors as weight factors, adopting a deep learning model combining an attention mechanism and a bidirectional LSTM network, integrating an XGBoost model to perform training optimization to obtain the prediction model, and predicting various operation parameters of the power station; and S4, constructing a double-early-warning mechanism, setting an early-warning threshold value of each operation parameter of the power station based on an early-warning rule, comparing a prediction result of the prediction model constructed in the step S3 with the early-warning threshold value, and establishing an instant early-warning mechanism and a long-period early-warning mechanism at the same time. Accurate early warning of the operation trend of the pumped storage power station is realized, the operation and maintenance cost is saved, and the operation intelligence and reliability of an electrical system are improved.

The invention provides a watershed cascade water, wind, light and storage integrated scheduling operation simulation method considering long-short term nesting correction, and the method comprises the steps: constructing a watershed cascade water, wind, light and storage integrated medium-long term optimization scheduling model, and solving the model, thereby obtaining a water, wind, light and medium-long term scale electric quantity complementation scheduling scheme; and constructing a long-short-term nested correction model, and performing refined correction on each power supply output process of the watershed cascade water, wind, light and storage integrated multi-energy complementary base to obtain a water, wind, light and short-term scale electric power complementary scheduling scheme. On the basis of medium and long term optimization scheduling, a long-short term nested correction model is further constructed, and the random volatility of short-term wind and light output and the adjusting capacity of a short-term hydropower station and a pumped storage power station are fully considered. Effective undertaking of long-term absorption and short-term grid connection of the water, wind, light and storage integrated multi-energy complementary base under high-proportion new energy permeation is achieved, and the refined requirement of a multi-energy complementary dispatching system for evaluating indexes such as the new energy absorption rate is met.

The invention relates to the field of multi-energy complementary clean energy systems, in particular to a water-wind-light-storage multi-energy complementary clean energy base capacity configuration method and system, and the method comprises the following steps: collecting the related basic data of a hydropower station, wind power, photovoltaic, pumped storage and power transmission lines in a research area; analyzing and determining the wind and light electricity abandoning rate, the annual utilization hours of the power transmission channel comprehensive internet access channel, the comprehensive utilization demand of the reservoir and the pumping power limitation of the pumped storage power station; constructing a water-wind-light-storage multi-energy complementary clean energy base capacity configuration double-layer nested optimization model; and obtaining the optimal capacity configuration scheme of the clean energy base and the output process of each power supply under the capacity configuration scheme. Technical support can be provided for planning, development and construction of a watershed or regional water-wind-light-storage clean energy base, the wind-light-electricity absorption capacity of a hydropower station and a pumped storage power station is effectively improved, the wind-light-abandoning rate of a power grid is reduced, safe and stable operation of the power grid is guaranteed, and the energy conservation and emission reduction target of China is smoothly achieved.

The invention provides a pumped storage power station multi-element multi-target intelligent online site selection method and device and a storage medium. The method comprises the following steps: extracting a midpoint of each river network line segment as a candidate point to construct a candidate point set # imgabs0 #; the set # imgabs3 # is screened according to the water diversion distance # imgabs1 # and the water head parameter # imgabs2 #, and a set # imgabs4 # is obtained; verifying the dam length, the dam height, the reservoir capacity and the reservoir surface form of the candidate points in the set # imgabs5 # by using a multi-target constraint model to obtain a set # imgabs6 #; a candidate point # imgabs8 # is selected from the set # imgabs7 #, a candidate point # imgabs11 # matched with the candidate point # imgabs10 # in the set # imgabs9 # is screened out, and a set # imgabs12 # is obtained; and obtaining a candidate point, which is optimally matched with the candidate point # imgabs14 #, in the set # imgabs13 # through suitability analysis. The pumped storage power station online site selection method is optimized from the aspects of site selection efficiency, reservoir capacity calculation, homogeneous site optimization, site comprehensive evaluation and the like.

The invention discloses a pumped storage power station development potential evaluation system based on reservoir geographic characteristics, and relates to the technical field of pumped storage power station site selection planning, and the method comprises the steps: obtaining the dam data and satellite remote sensing topographic data of a built reservoir, and screening the built reservoir as a lower reservoir of the pumped storage power station according to the reservoir capacity; for mountain land and flat land terrains, searching stations around a lower reservoir as an upper reservoir of the pumped storage power station according to the topographic data of the built reservoir dam; estimating the potential reservoir capacity and energy storage capacity of the upper reservoir, and calculating and developing the theoretical potential of the pumped storage power station; and excluding human activity areas, traffic facilities and water limited areas, and calculating and developing the achievable potential of the pumped storage power station. According to the method, technical support is provided for the development mode of the pumped storage power station in which the upper reservoir is additionally built based on the built reservoir in the large spatial scale, the problems that a traditional potential evaluation method is limited by a single terrain and low in efficiency are solved, and sustainable development of the pumped storage power station is promoted.

The invention provides a blast suppression method and system for an underground cavity of a pumped storage power station. The method comprises the following steps: configuring and deploying a multispectral gas sensor array; carrying out gas explosion limit calculation and risk assessment; calculating the risk level of explosion by using the prediction model; performing graded explosion suppression operation by using a graded explosion suppression execution module; combustible gas is guided to enter an inerting area by utilizing a space flow guide optimization module; and the ignition source blocking module is used for cooperative control to block an ignition source. The technical problems of low mixed gas explosion risk prediction and monitoring precision, low explosion suppression efficiency, slow response speed and relatively high operation and maintenance cost are solved.

The invention relates to the technical field of multi-objective optimization operation of a hybrid pumping and storage-containing water-wind-solar complementary system, and discloses a hybrid pumping and storage optimization scheduling method and system considering peak regulation and risk avoidance. The method comprises the following steps: acquiring historical data of a cascade basin water-wind-light power station and a power grid load, generating scheduling initial data through prediction, and generating scheduling scene data capable of representing the uncertainty of new energy based on the scheduling initial data and a prediction error; constructing an optimization model, solving the optimization model, and based on the solution of the optimization model, generating scheduling instructions of the drainage basin cascade hydropower station and the hybrid pumped storage power station; through the optimization model, the risk of power abandoning and load losing at the hydropower side is minimized, collaborative optimization meeting the peak regulation requirement of the power grid side is achieved, the flexible regulation advantage of hybrid pumping and storage is brought into full play, and stable operation and reliability of the system are promoted; and through linear processing, the solving speed and precision are improved, the real-time calculation efficiency of the system is ensured, and making of a scheduling decision is more efficient.

A rock mass mechanical parameter prediction method based on an underground powerhouse of a pumped storage power station relates to the technical field of mechanical parameter prediction, and comprises the following steps: identifying an embedding position and distribution characteristics of a sulfur-containing shale interlayer by constructing a three-dimensional geologic structure model and lithologic information of a construction area, and establishing a structural domain partition parameter prediction area system; constructing a nonlinear regression function model taking infrared spectrum characteristic factors and environment control parameters as input and taking elasticity modulus and the like as output by combining infrared spectrum characteristic data and a historical evolution track; the model is embedded into a regional system for dynamic assignment, and a parameter space-time change atlas is constructed; the laser point cloud data and the micro-seismic monitoring data are fused to invert the actual response of the surrounding rock; when the monitoring value deviates from the prediction map, triggering parameter degradation function re-calibration to complete parameter dynamic updating and prediction closed loop; according to the method, the accuracy of rock mass mechanical parameter prediction of the pumped storage power station underground powerhouse can be improved.

The invention provides an intelligent integrated operation and maintenance and fault diagnosis system for a pumped storage power station, and relates to the technical field of energy equipment operation and maintenance, and the system comprises a multi-source data collection and fusion module which is used for collecting and fusing the operation state data of processing equipment; the intelligent fault diagnosis and prediction module is used for carrying out real-time fault diagnosis and prediction on the equipment; the intelligent operation and maintenance decision and management platform is used for carrying out real-time monitoring, operation and maintenance management and decision support on the equipment based on the fault diagnosis and prediction result; and the communication and safety guarantee module is used for guaranteeing communication smoothness and data safety of the system. Multi-source data acquisition and fusion, fault diagnosis and prediction and intelligent operation and maintenance decision and management are innovatively and organically combined, the problems of poor timeliness, data isolation and the like in traditional operation and maintenance are solved, and the diagnosis precision is improved through intelligent operation and maintenance decision closed-loop management and data fusion.

The invention discloses a short-term multi-objective optimal scheduling method for a hybrid pumped storage power station, which belongs to the technical field of optimal scheduling of a power system and comprises the following steps of: acquiring initial input data; taking minimization of residual load mean square deviation as a peak regulation target, and taking minimization of lower reservoir tail water level daily variable amplitude and minimization of lower reservoir dam water level daily variable amplitude as navigation targets to construct a multi-target optimization scheduling model; performing mutual exclusion processing on reversible unit power generation and water pumping flow constraints to generate an initial solution, correcting the initial solution, solving the multi-target optimization scheduling model to obtain a Pareto solution set, dividing a Pareto leading edge distribution space, and selecting a feasible scheduling scheme with the maximum peak valley difference reduction rate as an optimal scheduling scheme; and selecting a final scheduling scheme from all the subspaces. The problems that in the prior art, peak regulation operation and navigation demand dynamic matching is insufficient, and a multi-source constraint coupling processing mechanism is lacked are solved.

The invention discloses a dynamic planning method and system for peak clipping and valley filling scheduling of a pumped storage power station, and the method comprises the steps: extracting a historical typical scene according to the load and output historical data of a regional power grid, and drawing up a typical scene of load and new energy output based on future development planning; taking the minimum average absolute deviation of the residual load of the power grid as an optimization objective function, taking the power generation and pumping power of the pumped storage power station as decision variables, and constructing a peak clipping and valley filling scheduling model of the pumped storage power station; and based on the residual load typical prediction scene, a dynamic programming algorithm is adopted to optimize the power generation or pumping power process of the pumped storage power station in the scheduling period, and a scheduling scheme capable of stabilizing residual load fluctuation is compiled. The method can provide a scheduling scheme adaptive to the scheduling target demand for stabilizing the residual load fluctuation, reduces the influence of the new energy output fluctuation on the power grid, improves the operation stability of the thermal power generating unit through stabilizing the residual load process, and provides technical support for reducing the water abandoning, wind abandoning and light abandoning of the regional power grid.

The invention discloses an intelligent self-adaptive silt filtering system and method for a pumped storage power station, and belongs to the technical field of pumped storage power stations. The system comprises a multi-parameter water quality monitoring module, an intelligent self-adaptive filtering module, a hydraulic cyclone enhanced separation module, a self-cleaning and backwashing module and a central control and data processing module. According to the method, river sediment characteristics are monitored in real time, filtering parameters are dynamically adjusted through an artificial intelligence algorithm, efficient sediment interception is achieved by combining hydraulic cyclone separation and multi-stage filtering, the problem of filtering medium blockage is solved through a self-cleaning mechanism, and meanwhile the self-adaptive learning capacity is achieved so as to optimize system performance. The system can significantly improve the filtering efficiency, reduce energy consumption and operation and maintenance cost, adapt to complex water quality working conditions, and guarantee safe and stable operation of key equipment of the pumped storage power station.

The invention relates to the technical field of water conservancy and hydropower engineering, in particular to a flood drainage system and method for a pumped storage power station. The flood drainage system of the pumped storage power station comprises a flood drainage tunnel, an energy dissipation building, a stilling pool and a protection facility, the flood drainage tunnel comprises a gentle slope base layer and an abrupt slope base layer, the abrupt slope base layer is provided with an energy dissipation section in a calibration range of an outlet of the flood drainage tunnel, the energy dissipation section comprises a diffusion area and a broadening area, and the energy dissipation building comprises multiple energy dissipation steps. The multi-stage energy dissipation steps in the diffusion area are used for gradually changing the water flow velocity, the stilling pool is connected to an outlet of the flood drainage tunnel, and the protection facility is connected between an outlet of the stilling pool and an original riverbed covering layer. The upstream water flow passes through the multi-stage energy dissipation steps and the stilling pool to dissipate the energy of the water flow, and the energy-dissipated water flow is transited to the original riverbed covering layer through the protection facility, so that the influence on the downstream environment is reduced, and the original riverbed covering layer is protected.

The invention discloses a pumped storage power station trans-provincial capacity configuration method, device and equipment and a medium. The method comprises the following steps: collecting and arranging a grid structure, system total adjustable capacity, load and new energy prediction data of a regional power grid in a research level year; the regional power grid pumped storage capacity trans-provincial mutual aid research is carried out by taking reduction of the overall system operation cost and the new energy power abandoning rate of the regional power grid as the target, and a pumped storage power station trans-provincial capacity configuration model is established. Optimal configuration analysis is carried out by combining the newly-added total capacity of the pumped storage power station in regional power grid planning in a research level year, and an optimal configuration scheme of the newly-added pumped storage capacity among provinces is obtained. The regional power grid trans-provincial power transmission channel and the unified scheduling mechanism are utilized, optimal allocation of resources on the regional level is achieved through pumped storage trans-provincial mutual aid, the operation economical efficiency of the whole regional power grid can be improved, and the problem that pumped storage resources of all provinces are distributed unevenly is effectively solved.

The invention discloses a method for determining the axis direction of an underground powerhouse of a pumped storage power station and a construction method, and aims to solve the problem of balance between a dominant included angle theta between the axis of the powerhouse and the direction of a geological structure surface and a dominant included angle eta between the axis of the powerhouse and the direction of a maximum horizontal principal stress in an axis diagram mode. The information is displayed efficiently, accurately and clearly, and the field survey and application efficiency is improved; the balance point between the dominant included angle theta between the plant axis and the geologic structure plane direction and the dominant included angle eta between the plant axis and the maximum horizontal principal stress direction is calculated in a quantitative mode, so that the obtained plant axis direction is more accurate and objective.

The invention relates to a GIS-based site selection method for generally selecting a high depression as an upper reservoir of a pumped storage power station, and relates to the technical field of site selection of pumped storage power stations. Identifying and extracting depression as a generally selected site by using a maximum closed contour line; basic engineering attributes of the generally selected site are calculated; upper reservoir sites meeting the basic construction conditions are screened out according to terrain attributes; and carrying out scoring calculation on the optimal sites to obtain an optimal sequence. According to the method, the closed high-position depression meeting the construction requirement near the sufficient water source is screened out as the optimal site by utilizing important terrain indexes, and the shortest water delivery path and the optimal sequence of the upper reservoir and the lower reservoir are given, so that batch, accurate and rapid site selection is realized, and the site selection efficiency of the pumped storage power station is improved.

The invention discloses an intelligent scheduling method and system for improving quality and efficiency of a pumped storage power station, and the method comprises the steps: extracting a power grid load and a new energy output typical day scene based on power grid source load characteristics and new energy output characteristics, and determining a typical operation scene and an operation mode of the pumped storage power station; establishing a scheduling model which takes quality improvement and efficiency improvement as an optimization objective function and takes power generation and pumping power of the pumped storage power station as decision variables; and according to the equivalent load typical historical scene and the prediction scene, an intelligent evolutionary algorithm is adopted to optimize the power generation and pumping scheduling process of the pumped storage power station, and a scheduling scheme capable of improving quality and efficiency is compiled. According to the method, the operation scene of the pumped storage power station can be accurately extracted, the new energy grid-connected impact can be reduced while considerable economic benefits are brought, and technical support is provided for promoting new energy development and utilization and power system transformation.

The invention provides a pumped storage power station site selection method based on an improved analytic hierarchy process and related equipment. The method comprises the following steps: constructing a hierarchical structure model of pumped storage power station site selection; refining the criterion layer, comparing the relative importance of each factor of the criterion layer in pairs by adopting a scaling method of 1-6 and reciprocals thereof, and constructing an initial judgment matrix; constructing an entropy weight matrix by using an entropy weight method according to each factor; correcting the initial judgment matrix according to the entropy weight matrix to obtain a corrected judgment matrix; determining a weight value of each factor according to the correction judgment matrix and performing consistency verification; determining a scoring rule of each factor, calculating a score of each factor, and calculating a comprehensive score according to the score of each factor and the weight value; and determining an optimal power station site selection scheme according to the comprehensive score. The pumped storage power station site selection method based on the improved analytic hierarchy process and the related equipment provided by the invention are simple and convenient, and can effectively determine the optimal power station site selection scheme.

The invention discloses a pumped storage unit speed regulation control optimization method based on PID mu control of a tracking differentiator. The method comprises the steps that 1, a simulation model is built based on parameters of a pumped storage power station; 2, popularizing a PID control differential item from an integer order to a fractional order, and introducing a tracking differentiator to carry out smooth transition on a control signal; and step 3, optimizing the control parameters by adopting an intelligent algorithm. Through a good point set and a Levy flight improved dung beetle algorithm, an objective function is established through linear weighting of an ITAE index, an overshoot and a steady-state error. And 4, performing simulation verification. And performing simulation verification on each working condition of the pumped storage unit, and verifying a control effect through no-load and on-load rotating speed disturbance simulation under different water heads. The method provided by the invention is suitable for improving the control capability of the pumped storage unit under the background of a novel power system with new energy access, and has important significance for ensuring safe and stable operation of the power system.

The invention relates to the technical field of power systems, and discloses a dispatching optimization method, device and equipment for a thermal power-pumped storage power station and a medium. The method comprises the following steps: constructing a target function comprising a virtual start-stop cost item, an output stability index item, a daily operation water quantity unbalance penalty item and a thermal power plant daily operation power generation deviation penalty item; and adopting a preset optimization algorithm to carry out optimization solution on a scheduling optimization model formed by the target function, the power grid constraint condition, the pumped storage unit constraint condition and the thermal power unit constraint condition, and determining the corresponding scheduling scheme when the target function reaches the minimum as a target scheduling scheme so as to carry out scheduling on the corresponding thermal power plant and the pumped storage power station. According to the method, multiple factors such as virtual start-stop cost, output stability, water quantity imbalance and power generation deviation are comprehensively considered, the scheduling optimization model is solved by using the preset optimization algorithm, and efficient, economical and stable scheduling of the thermal power plant and the pumped storage power station is realized.

The invention discloses a planning and scheduling method and device for a pumped storage power station. The method comprises the steps that power grid power generation equipment information and power utilization type information are acquired; acquiring historical power generation electric quantity data and historical power utilization electric quantity data of the power grid; according to the historical power generation electric quantity data and the historical power utilization electric quantity data of the power grid, predicting and generating the power generation electric quantity and the power utilization electric quantity trend of the power grid; and generating a planning and scheduling scheme of the pumped storage power station and performing work scheduling. The historical power generation data of each power generation device in the power grid and the historical power utilization data of different power utilization types are acquired, the power generation quantity and the power utilization quantity trend of the power grid are acquired in combination with meteorological information, and the planning scheme of the pumped storage power station in the power grid is generated according to the power generation quantity and the power utilization quantity trend. And working scheduling of the pumped storage power station is carried out according to the planning scheme.

The invention discloses a power system hybrid energy storage capacity optimal configuration method and device and a medium, and relates to the technical field of power system optimal configuration, and the method comprises the steps: obtaining a net load time sequence of a power system, carrying out the preprocessing of the net load time sequence, and obtaining a preprocessed net load time sequence; processing the preprocessed net load time sequence by adopting a complete set empirical mode decomposition method to obtain a spectral characteristic curve; determining a target separation frequency based on the spectral characteristic curve by using a trial and error method, and determining frequency bands loaded by the pumped storage power station and the electrochemical energy storage power station in the power system based on the target separation frequency; and establishing a hybrid energy storage capacity optimal configuration model, and solving the hybrid energy storage capacity optimal configuration model to obtain an optimal configuration scheme of the pumped storage power station and the electrochemical energy storage power station. According to the invention, the adjusting capability of the energy storage system combining pumped storage and electrochemical energy storage is improved.

The invention discloses a quantitative evaluation method for secondary frequency modulation benefits of a pumped storage power station and related products. In the method, a power difference average value, a power difference standard deviation, penalty electric quantity, adjustment mileage and power delay time are used as evaluation indexes of the secondary frequency modulation performance of the pumped storage power station; the index set comprehensively considers generator set frequency modulation performance assessment policies implemented by the State Energy Administration East China Energy Supervision Office, American PJM power market performance and wide application experience in different regions in the world, covers existing indexes of different operation specifications of the State Grid of China, and improves the comprehensiveness and typical representativeness of evaluation results. When the secondary frequency modulation performance score of the pumped storage power station is determined according to the degradation degree, through the steps of constructing an index judgment matrix, calculating the index degradation degree, performing fuzzy judgment on a vector and the like, the thinking judgment process can be mathematized, the objectivity of a result is ensured through fuzzy processing, the structure is rigorous, the flexibility is good, and deviation of the overall evaluation result is avoided.

The invention provides a pumped storage power station seepage optimization method and system based on water level fluctuation data. The method comprises the following steps: firstly, based on a satellite geographic map and water depth data, constructing an upper reservoir three-dimensional structure model; then arranging water body particles in the model, and forming seepage holes according to the permeability coefficient to form a seepage field simulation model; then, through seepage simulation at different water levels, water particle flow characteristics of the surface edge of the reservoir are extracted; further comparing the simulation characteristics with the actual water flow characteristics, evaluating the credibility of the model according to the goodness of fit, and optimizing the model if the credibility does not reach the standard; and finally, performing seepage early warning analysis by using the optimization model. Through precise three-dimensional modeling, dynamic seepage simulation and feature matching verification, the accuracy of seepage prediction is improved, and a scientific basis is provided for safe operation of a power station.

The invention relates to the field of pumped storage power station engineering, in particular to an efficient ventilation, waste dissipation and cooling system and method for an underground cavern group, and the system comprises a distributed environment sensing network, a partitioned ventilation execution unit, a partitioned cooling execution unit and a control unit. The prediction model is adopted to predict the future environment or load change trend, and the system coordination control model evaluates the influence of a control instruction on the overall state of the system; by comprehensively considering a real-time measured value, a future predicted value and an evaluation result of a system coordination control model and considering multiple targets of an environment index and operation energy efficiency, an optimization control instruction capable of cooperatively regulating and controlling each partition execution unit is determined and executed.

The invention discloses a cross-provincial flexible scheduling method and system for a pumped storage power station, and the method comprises the steps: monitoring the operation state of each unit of the pumped storage power station in a region, and displaying the basic data and operation conditions of each unit on a front-end web page, and formulating a pumped storage calling method according to the capacity demand of each small region in the whole large region for the pumped storage power station and the available capacity of the inter-provincial tie line, and finally realizing rear-end data transmission and development and display of a front-end data simulation platform by using a Django framework. The method has the advantages that the current situation that pumped storage is ignored under the background of vigorous development of new energy is solved, meanwhile, the blank that pumped storage participates in trans-provincial calling is filled up, the energy calling process is visually displayed through the computer technology, and the pumped storage calling frequency and efficiency are improved.

The invention provides a pumped storage power station inclined shaft TBM and an expanding excavation mechanical construction method. The TBM comprises a shield body, a conical expanding excavation cutterhead is arranged at the front end of the shield body, a main drive is arranged in the shield body, the conical expanding excavation cutterhead is connected with the main drive through a main bearing, and a plurality of front supports and rear supports are arranged on the peripheral sides of the front end and the rear end of the shield body respectively; the shield body between the front support and the rear support is provided with a thrust oil cylinder and a driving support shoe, and the pumped storage power station inclined shaft TBM creeps and advances under the cooperation of the front support, the rear support, the thrust oil cylinder and the driving support shoe. Besides, by means of the mechanical construction method of the pilot shaft and TBM expanding excavation, the problems that construction guidance and the hole forming body type are not easy to control, the excavated hole is poor in flatness, poor in safety and the like existing in excavation of a drilling and blasting method can be solved, excavation of a traditional drilling and blasting method is eliminated, the hole forming quality is improved, disturbance to surrounding rock is reduced, and potential safety hazards are reduced; safe and efficient excavation of the water diversion inclined shaft in the pumped storage power station is guaranteed, and the construction period of key lines is shortened.

The invention relates to the technical field of pumped storage power stations, in particular to a pumped storage power station tunnel construction surrounding rock deformation safety control method which comprises the steps that firstly, a half side with the relatively low tendency is excavated, and an inclined rock stratum of the half side with the relatively high tendency is made to conduct creep displacement towards an excavated tunnel area; and then the half side with the relatively high tendency is constructed, so that the creep quantity of the half side in the later period can be reduced. The construction position of the half-side tunnel with the relatively high inclination is larger than the expected position of the tunnel, the excavated rock stratum is supported through the pipe shed pipe before excavation, and the inclined rock stratum can be prevented from sliding towards the excavated tunnel area under the action of the gravity of the inclined rock stratum through the supporting effect of the steel arch frame and the bottom plate steel frame in cooperation with the supporting effect of the steel arch frame and the bottom plate steel frame. According to the half-side tunnel with the relatively high inclination, the space between the steel arch and the second-layer steel arch is filled with broken stones to form a broken stone filling layer serving as a buffering layer of inclined rock layer creep deformation, and the influence of the creep deformation on the inner-layer steel arch is reduced. The method is particularly suitable for the conditions that the tunnel section is small and the deformation of the inclined rock stratum is relatively large under the influence of bias pressure, construction is easy, and popularization is facilitated.

The invention provides a pumped storage power station underground cavity TBM applicability evaluation method. The method comprises the steps that evaluation models of a target layer, a criterion layer, a sub-criterion layer and a scheme layer are established; and constructing a judgment matrix, determining a scoring rule, assigning a value to the judgment matrix, checking consistency, calculating weights, and carrying out correlation calculation on the weights of all layers to obtain a total applicability evaluation score of the TBM of the underground cavity of the pumped storage power station. The invention provides a pumped storage power station underground cavern TBM applicability evaluation method, which is a pumped storage power station underground cavern TBM applicability evaluation method based on an analytic hierarchy process and comprehensive qualitative and quantitative evaluation, fully considers project characteristics of different pumped storage power stations, quantitatively determines evaluation indexes and scoring rules, and improves the applicability of the pumped storage power station underground cavern TBM. And quantitative evaluation is carried out, a more reasonable scheme is obtained through weight quantification, and the purpose of improving the scientificity, rationality and accuracy of decision application is achieved.

The invention relates to a constant-pressure heat compensation compressed air energy storage system relying on a pumped storage power station and an operation method of the constant-pressure heat compensation compressed air energy storage system. The invention discloses a constant-pressure heat compensation compressed air energy storage system relying on a pumped storage power station. The constant-pressure heat compensation compressed air energy storage system comprises a constant-pressure compressed air energy storage subsystem and a water source heat pump subsystem. The constant-pressure compressed air energy storage subsystem comprises a constant-pressure compressor, a first heat exchanger, a constant-pressure air storage chamber, a second heat exchanger and a constant-pressure expansion machine which are sequentially connected through pipelines; the constant-pressure gas storage chamber is connected with an upper reservoir of the pumped storage power station through a pressure balance pipeline; the water source heat pump subsystem comprises a heat storage tank, a second heat exchanger, a heat pump expansion machine, a cold storage tank and a heat pump compressor which are sequentially connected through pipelines; the cold storage tank is connected with a lower reservoir of the pumped storage power station through a heat exchange pipeline; the constant-pressure compressed air energy storage subsystem and the water source heat pump subsystem are connected through a second heat exchanger and achieve energy interaction.