595 results about "Pumped-storage hydroelectricity" patented technology

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.

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 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 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 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 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 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 discloses a pumped storage power station water turbine top cover bolt fault alarm system and an alarm method, relates to the technical field of fault monitoring, and is used for monitoring stress and temperature data of top cover bolts through grating stress sensors in the top cover bolts. The method comprises the following steps: performing feature extraction on stress and temperature data to obtain the feature quantity of each bolt, and storing the feature quantity of each bolt to a current cache region Ai of a feature quantity cache region; the working condition of each top cover bolt and the working condition of the unit in the cache region A (i-1) are judged according to the bolt characteristic quantity data of the current cache region Ai and the adjacent cache region A (i-1) and cache region A (i-2), the working state of each unit is judged according to the bolt characteristic quantity data and the working condition data in the cache region A (i-1), and an alarm signal is sent out. And meanwhile, a threshold prediction model is established according to the convolutional neural network to output the optimized latest alarm threshold and send the optimized latest alarm threshold to an early warning rule base.

The invention discloses a method for planning a road between an upper reservoir and a lower reservoir of a pumped storage power station based on an improved A * algorithm, and the method comprises the steps: S1, carrying out the rasterization of three-dimensional terrain point cloud data of a target region of the pumped storage power station, and generating a digital elevation model (DEM); s2, identifying a natural obstacle area in the target area, and generating an impassable area matrix map; s3, constructing a heuristic function comprehensively considering distance and gradient, an enhanced cost function and a multilayer neighborhood search strategy, performing path search based on an improved A * algorithm, and constructing an initial path; s4, performing optimization processing on the initial path to obtain a final path; and S5, superposing the optimized final path to an original terrain grid map for visualization, calculating and displaying key design indexes of the path, and assisting a designer to perform scheme comparison and selection and engineering decision. The method is high in intelligent degree, high in engineering adaptability and suitable for rapid line selection and optimization design of the upper and lower reservoir roads of the pumped storage power station in the complex mountainous area.

The invention relates to a runoff type pumped storage power station which comprises an upper reservoir, an upper water conveying pipeline, a lower reservoir, a lower water conveying pipeline, a pumping valve, a tail water valve, a tail water pipeline, a pump turbine, a downstream river channel and a plant. The pumped storage power station workshop is built on the downstream side of the lower reservoir; the upper reservoir, the upper water conveying pipeline, the water inlet ball valve, the pump turbine, the tail water valve and the tail water pipeline form a power generation channel; the lower reservoir, the lower water conveying pipeline, the water pumping valve, the pump turbine, the water inlet ball valve, the upper water conveying pipeline and the upper reservoir form a water pumping channel; the runoff volume of the lower reservoir meets the water consumption of pumped storage, and water media for pumped storage and power generation are not circulated. The lower reservoir hydropower station is combined to construct and share the lower reservoir, the water-turbine generator set of the hydropower station is used as a semi-synchronous starting power supply of the water pumping working condition of the pumped storage unit, the pumped storage unit pumps water from the pressurized water source of the lower reservoir, the suction height of the water pump turbine set is reduced, the engineering cost is reduced, and the overall energy efficiency is improved.

The invention discloses a short-term scheduling method for a cascade hybrid pumped storage power station based on pump station addition, which comprises the following steps of: adding an energy storage pump station between cascade series hydropower stations, and dynamically drawing up a reservoir capacity constraint by adopting a reservoir capacity dynamic control strategy considering the cascade hybrid pumped storage power station; constructing a cascade hybrid pumped storage power station short-term scheduling model based on the added energy storage pump station, wherein the cascade hybrid pumped storage power station short-term scheduling model takes the minimum mean square error of the residual load of a power grid as a target; solving the scheduling model based on an improved step-by-step optimization algorithm POA; and a comprehensive risk-benefit evaluation system is constructed, multi-dimensional targets of a system scheduling level and a power station operation level are considered, and the influence of additionally arranging an energy storage pump station on the risk and benefit of the power grid is deeply analyzed. The method can be used for guiding daily scheduling of the cascade hybrid pumped storage power station based on the additionally-arranged pump station, wind and light abandoning phenomena are reduced to the maximum extent while safe and stable operation of a power system is guaranteed, and the absorption capacity of wind and light resources and the power supply reliability of the power system are improved.

The invention discloses a pumped storage power station governor parameter optimization method and system, and relates to the technical field of pumped storage power station control, and the method comprises the steps: constructing a multi-dimensional evaluation system, and defining seven indexes of a unit safety class, a rotating speed response class and a power response class, which are used for comprehensively evaluating the power regulation performance; based on historical operation data of the power station, the occurrence probability of each initial working condition and load change is counted, a weighting factor matrix is generated, and weight contributions of high-frequency and extreme working conditions to an optimization target are quantified; and parameter optimization and decision making: simulating the performance of different speed regulator parameter combinations (KP = 0.1-1.9, KI = 0.1-0.7) under 30 typical working conditions by adopting a water-electro-mechanical coupling model, carrying out normalization and comprehensive scoring on simulation results based on a TOPSIS algorithm, and screening a parameter scheme with the highest total score. According to the method, the problems of single index and insufficient working condition adaptability in parameter selection of a traditional speed regulator can be solved, and collaborative improvement of unit safety and regulation stability is realized through multi-dimensional evaluation and probability-driven optimization.

The invention provides an anti-seepage structure, a pumped storage power station anti-seepage bottom plate and a construction method, and relates to the technical field of anti-seepage engineering.The structure comprises a joint core bottom plate, an auxiliary bottom plate and a connecting piece, and the periphery of the bottom of the joint core bottom plate extends in the horizontal direction to form protrusions; concave parts matched with the protrusions are arranged on the periphery of the bottom of the auxiliary bottom plate, the joint core bottom plate and the auxiliary bottom plate are connected through connecting pieces, and the protrusions are arranged in the concave parts. The construction efficiency can be effectively improved.

The invention belongs to the technical field of power grid peak regulation, and discloses a peak regulation method and system based on capacity increasing and power generation of a hydroelectric generating set, electronic equipment and a storage medium. The method comprises the following steps: acquiring historical load data and real-time load information of a power grid, and performing rolling prediction on the power demand of a future preset time period by adopting a time sequence prediction algorithm to obtain a prediction result of the peak regulation demand of the power grid; obtaining water inflow prediction data of the hydropower station, and establishing a collaborative optimization scheduling model of the hydropower station, the pumped storage power station and the thermal power generating unit in combination with a power grid peak regulation demand prediction result; and based on the collaborative optimization scheduling model and a power grid peak regulation demand prediction result, completing peak regulation based on capacity increasing and generation increasing of the hydroelectric generating set. According to the peak regulation based on capacity increasing and generation increasing of the hydroelectric generating set, the defects in the prior art are effectively overcome through the measures of improving the prediction accuracy, optimizing the scheduling strategy, enhancing the flexibility and the like, and a new solution is provided for peak regulation of a power system.

The invention relates to the technical field of pumped storage, and discloses a reservoir evaporation suppression device for a pumped storage power station, which detects the surface water temperature Ts and the deep water temperature Td in real time, forms a temperature difference delta T, and combines a preset temperature difference threshold value delta T0 as a starting judgment basis, so that the water temperature Ts and the deep water temperature Td are detected in real time, the temperature difference delta T is formed, and the water temperature Ts and the deep water temperature Td are started. It is ensured that the device only has significant temperature difference ([delta] Tgt; [Delta] T0) is started when evaporation is intensified. During starting, water flow introduced into the water inlet pipe can form upward flow, vertically uprush to the surface water body area and penetrate through the thermocline in the process, and during the process, low-temperature water in the deep water body area can be guided into the surface water body area due to the pressure difference effect, so that cross-layer heat exchange is achieved, and the water temperature of the surface water body area is reduced; water molecule kinetic energy is reduced from the physical level, surface water evaporation is remarkably reduced, surface water loss is reduced, the total amount of follow-up water supplementing is reduced, and then the water supplementing cost is reduced.

The invention discloses a new energy and pumped storage combined power generation system full life cycle carbon emission evaluation method, and relates to the technical field of power system carbon footprints. Comprising the following steps: firstly, obtaining and preprocessing carbon emission data of a new energy power station including a wind power station, a photovoltaic station and a pumped storage power station, and generating a training sample data set; then, a neural network model is established based on the data set, and training is carried out by taking power station construction feature data including the material consumption, the transportation distance and the equipment number as input and taking the carbon emission as a label; and then, inputting construction characteristic data and environmental parameters of the power station to be evaluated, and correcting a carbon emission predicted value. And finally, in combination with the dynamic growth index of the load demand of the power grid, calculating the full-life-cycle carbon emission, and realizing accurate evaluation. The method has the characteristics of systematicness, intellectualization and data driving, and is suitable for carbon emission management and optimization of a new energy and pumped storage combined power generation system.

The invention provides a pumped storage reservoir leakage parameterization investigation and arrangement method based on reservoir type classification, and the method comprises the steps: dividing a pumped storage power station reservoir into a plurality of reservoir types according to the position of the reservoir and the landform characteristics of a reservoir region; setting reservoir leakage investigation key parts; outputting a parameterized reservoir leakage exploration and drilling workload scheme by adopting a reservoir leakage exploration and drilling scheme parameterization algorithm according to the reservoir type, topographic features and reservoir leakage exploration key parts of each reservoir type; training and identifying library type classification, and constructing a library type data source; and carrying out reservoir leakage parameterized investigation arrangement based on the reservoir type. According to the invention, for leakage investigation elements emphasized during the investigation and design of the pumped storage power station, pumped storage reservoir type classification and leakage parameterization investigation are combined through intelligent identification and parameterization arrangement rules, the investigation and arrangement efficiency is improved, manual field climbing point selection is greatly reduced, and the working efficiency is improved. And the efficiency and the accuracy of reservoir leakage investigation arrangement work are improved.