711 results about "Pumped-storage hydroelectricity" patented technology

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 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 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 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 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 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 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.

The invention discloses a preparation process of a high-strength anti-crack and anti-seepage vertical shaft lining concrete material, which comprises the following steps: (1) uniformly mixing aggregate with a solution containing copper ions, drying to remove moisture, dropwise adding saturated lime water containing alkaline substances into the mixture, and drying to remove moisture to obtain pretreated aggregate; and (2) the pretreated aggregate is placed in a carbon monoxide atmosphere for reduction treatment, the reduction temperature is higher than the melting point of copper, and the surface modified aggregate is obtained after reduction treatment is completed. The surface modified coarse aggregate and the surface modified fine aggregate are respectively prepared according to the method. And (3) uniformly mixing the cement binding material, the surface modified coarse aggregate, the surface modified fine aggregate, the modified fiber, the solid waste-based powder filler, emulsified asphalt and a water reducing agent, adding mixing water, and uniformly mixing to obtain the concrete material. The concrete material disclosed by the invention has good mechanical strength and crack resistance and also has good water seepage resistance, and the service life of the pumped storage power station vertical shaft is effectively prolonged.

The invention provides a start control method, system and device for a pumped storage power station unit and a medium. Under the condition that a power grid and a static variable-frequency starting device have faults, in order to normally start a target unit, an auxiliary unit and various data judgment and corresponding modes of the target unit are controlled, operation in a back-to-back dragging mode is utilized, and the target unit is dragged by the auxiliary unit to start; therefore, the target unit is dragged and started to be merged into the power grid to execute the power function of pumped storage, and reliable power service can be provided when needed.

The invention provides an operation optimization method, device and equipment of a pumped storage power station and a storage medium, and relates to the technical field of operation optimization of a power system. The method comprises the following steps: taking the maximum expected revenue and the minimum participation risk when the pumped storage power station participates in an electric energy market and a frequency modulation auxiliary service market as an optimization target, and according to the expected revenue and the participation risk of the pumped storage power station at each moment in an optimization time period and a target function of the next moment corresponding to each moment, optimizing the optimization time period of the pumped storage power station; target functions of the pumped storage power station at all moments in the optimization time period are established respectively; and a constraint condition is established, iterative solution is performed on the target function at each moment based on the constraint condition, and optimal operation strategies of the pumped storage power station at different moments in the optimization time period are obtained, so that operation of the pumped storage power station is controlled according to the optimal operation strategies in the optimization time period. The operation strategy of the pumped storage power station can be prevented from falling into local optimum.

The invention provides a smooth non-uniform rational B-spline three-dimensional terrain entity fitting creation method and system, which are mainly applied to the field of pumped storage power station engineering and realize efficient conversion from a two-dimensional contour line to a smooth terrain entity. According to the method, a technical route of an NURBS terrain entity is finally generated by establishing a triangulation network curved surface, specifying a boundary, converting DEM data, creating a grid curved surface, extracting control points and fitting an NURBS curve in a UV direction. Converting the contour line into DEM data and creating a grid curved surface; extracting control points and respectively fitting NURBS curve groups according to U / V directions; a complete NURBS three-dimensional terrain entity is formed by enclosing the surface curved surface, the bottom plane and the four side curved surfaces. According to the method, on-demand adjustment of terrain precision can be achieved, the generated entity can be directly used for CAE simulation calculation and can be combined with a panel dam partition amount calculation algorithm, and the engineering design efficiency is improved.

The invention relates to the technical field of pumped storage power stations, in particular to a large-span pumped storage power station tunnel construction geological risk safety control method. The large-span pumped storage power station tunnel constructed in the inclined rock stratum in the trend is divided into three parts in the trend direction, firstly, the half side with the relatively high trend is grooved, then a low-trend area is excavated and supported in time, the inclined rock stratum outside the grooving area is made to conduct creep displacement towards the grooving area during the period, and the inclined rock stratum outside the grooving area is cut into the large-span pumped storage power station tunnel. The creep quantity of the rock stratum mostly occurs in the early stage which is just revealed, and the creep quantity of the inclined rock stratum in the high inclination area in the later stage can be reduced after the inclined rock stratum is constructed after a large amount of creep deformation. And then the residual creep deformation amount is obtained according to the creep characteristic curve of the inclined rock stratum, so that the high-inclination area is accurately expanded, and it is guaranteed that the tunnel section can still meet the requirement after final creep deformation of the inclined rock stratum. The method is particularly suitable for tunnel construction conditions that the tunnel section is large and inclined strata are affected by bias pressure, and construction is easy and beneficial to popularization.

The invention relates to the technical field of power system optimization operation, and discloses a cascade water-wind-light combined peak regulation method and system containing a hybrid water pumping station, and the method comprises the steps: obtaining the historical data of a cascade watershed wind-light power station, and predicting the scheduling data of the cascade watershed wind-light power station; an optimization model is constructed, and solving is carried out; and based on the solution of the optimization model, generating a scheduling instruction of the cascade watershed wind-solar power station. By optimizing the model, the adjusting efficiency of the hybrid pumped storage power station is effectively improved, and the hybrid pumped storage power station can flexibly participate in peak regulation of a power system. And meanwhile, the consumption rate of new energy such as wind power and photovoltaic energy is remarkably improved, and the phenomenon of electricity abandoning is reduced. And by reasonably controlling the operation of the thermal power generating unit, the dependence on thermal power is reduced, so that carbon emission is reduced, and environmental protection and sustainable development are promoted. In addition, by smoothing the residual load of the system, the load peak-valley difference is reduced, the stability of the power grid is enhanced, and the economic burden of system operation is reduced.

The invention provides a multi-task comprehensive utilization system and method for a low-water-head high-variable-amplitude pumped storage power station. The multi-task comprehensive utilization system comprises an upper reservoir, a lower reservoir, a diversion tunnel, a pumped storage unit, a communicating pipeline and a peripheral water distribution main line. The upper reservoir and the lower reservoir simultaneously have a water supply function and a function of guaranteeing operation and power generation of the pumped storage unit; monitoring water level changes of the upper reservoir and the lower reservoir in real time through an intelligent monitoring system to obtain a water head difference; the water quantity of the upper reservoir and the lower reservoir is dynamically dispatched according to the water head difference, the water supply requirements of areas around a project are met preferentially, and meanwhile safe and stable operation of a power grid is guaranteed as much as possible. According to the invention, a multi-objective genetic algorithm is used to optimize power generation, water supply and ecological benefit objectives; meanwhile, excavated earthwork is processed and treated to serve as building aggregate, the ecology is improved through the water surface of the power station, and local economy is promoted. According to the method, multi-task cooperation of water supply, power generation, aggregate supply, ecological improvement and economic development is achieved, the comprehensive benefits of engineering are improved, and sustainable development is promoted.

The invention relates to the field of hydropower engineering, and provides a water inflow prediction method for an underground powerhouse of a pumped storage power station in order to ensure the accuracy of a prediction result while realizing the usability of the prediction method. And a final water inflow prediction range is obtained according to the calculated three water inflow. The provided three water inflow calculation modes are easy to realize, and the calculation results of the three modes are integrated to obtain the final water inflow range, so that the accuracy of the prediction result is improved.

The invention discloses a space safety risk identification method and system in a pumped storage power station disaster scene, and the method comprises the steps: collecting the pre-disaster and post-disaster unmanned plane oblique photography data of a pumped storage power station, and constructing a three-dimensional point cloud model; key connection nodes are positioned in the three-dimensional point cloud model, and the space coordinate offset of each node is calculated; calling a historical claim settlement database, and constructing a three-dimensional deformation-economic cost mapping model; comparing the space coordinate offset with a three-dimensional damage deformation mode label in the three-dimensional deformation-economic cost mapping model by adopting a point cloud feature pyramid network, and outputting a hidden damage similarity index A; and activating the MEMS vibration sensor at the key node, calculating a loosening danger index B in combination with the similarity index A, and when the similarity index A and the loosening danger index B both exceed a preset threshold value, identifying the equipment node as an equipment node with a high chain collapse risk, and triggering a pre-compensation mechanism. According to the method, the recognition accuracy of the implicit structure damage can be remarkably improved.

The invention belongs to the technical field of pumped storage, and discloses a comprehensive evaluation method for the operation capability of a pumped storage unit in different power grid forms and a related device. The method comprises the steps of obtaining operation data of a pumped storage power station to be evaluated and data of a power grid where the pumped storage power station is located; based on the operation data of the pumped storage power station and the data of the power grid where the pumped storage power station is located, constructing a pumped storage power station multi-type regulation capability evaluation system in different power grid forms; and based on the pumped storage power station multi-type regulation capability evaluation system in different power grid forms, carrying out comprehensive quantitative evaluation on the regulation capability of the pumped storage power station, and obtaining a dynamic priority score of each unit in the to-be-evaluated pumped storage power station. According to the invention, comprehensive quantitative evaluation of the regulation capability of the power station is realized, and a scientific decision basis is provided for capacity planning, operation strategy optimization and multi-type energy storage collaborative scheduling of the pumped storage power station.

The invention provides a method for calculating a stable margin domain of isolated network operation regulation of a pumped storage power station, which comprises the following steps of: constructing a simulation model of the pumped storage power station in an isolated network mode, and deducing a comprehensive transfer function based on the model so as to obtain a margin stability characteristic equation of a pumped storage power station regulation system; by adjusting various parameters in the pumped storage power station, any two parameters are selected as coordinate axes in a rectangular coordinate system, and the stability margin domain of the pumped storage power station adjusting system under different stability margins is calculated by utilizing the Hellzz criterion; and fitting the time domain simulation curves of the pumped storage power station at different stability margin domain boundaries by adopting a power function. The method can quantify the stability margin of the power station when the power station encounters disturbance, identifies the stability boundary of the system under the ultralow frequency oscillation condition by analyzing the stability margin under different operation conditions, can effectively prevent and reduce the instability phenomenon, and improves the overall safety and reliability of the pumped storage power station.