173results about How to "Ensure safe and economical operation" patented technology

The invention discloses a thermoelectric power station automatic control system based on artificial intelligence. It includes dispersible control system, virtual DCS simulation system, program controlling system, monitoring information system and malfunction diagnosing and optimizing controlling system; the dispersible control system is connected with the virtual DCS simulation system and program controlling system; the program controlling system process the operating parameters of every machine group transmitted by dispersible control system, and at the same time transmits data to monitoring information system to display, then transmits malfunction diagnosing and optimizing controlling system to have equipment state monitoring, malfunction diagnosing and forewarns. The invention gathers automatic control, optimizing operation, security monitoring and malfunction diagnosing and forecast. It can improves the automated management level of the thermoelectric power station operation, and enhances enterprises' benefit. It has great economic and applied value in the producing process automatic control of the thermoelectric power station.

The invention relates to a method for setting accidence diagnose and accidence prediction, which comprises a real-time data interface and a processing module. It provides many kinds of data interfaces to collect and treat data. Wherein, the accidence diagnose and accident prediction module can real-time detect the state of device, and diagnose accidence to alarm and give treating advice; the process detecting, accidence diagnose, accidence analysis and prediction are based on real-time data, that used in process control system; it uses the real-time and history database system modules to provide to the data service of alarm processing module, and provide the quick search of real-time and history data via function type; the alarm unit comprises an alarm operation function treating unit, an alarm container and an alarm manage unit. The invention can integrate the process detection, accidence diagnose, accidence analysis prediction and on-line operation instruction.

The invention provides an active and reactive coordination optimization control method of a distributed photovoltaic power distribution network. The method comprises steps that S1, based on the model predictive control method, according to the control targets and the control variables of different time scales, the distribution network system control process is divided into the long time scale optimization control and the short time scale optimization control, and a long time scale optimization control model and a short time scale optimization control model are established; S2, solving problems of the long time scale optimization control and the short time scale optimization control are converted into second-order cone programming problems; and S3, the long time scale optimization control model is based on the photovoltaic output and the load demand forecasting information, and uses the multi-step rolling optimization to solve the active and reactive power output of each controllable device, and the short time scale optimization control model is used to calculate the active and reactive power increment of each controllable device in a rolling manner with the solving result of the long time scale optimization control model as the reference value.

The invention discloses an electric vehicle charging real-time optimization dispatching method. The technical scheme adopted by the invention is as follows: Net-Electrified Transportation CooperativeSystem Architecture Based on Vehicle Interaction; A micro traffic assignment model based on travel chain tracking is established to track and simulate the real-time information of driving behavior, location distribution, state of charge and charging demand of electric vehicle users. Charging station selection and navigation strategy; A two-layer real-time optimal dispatching model is constructed to determine the specific charging scheme of electric vehicles in each charging station, which takes into account the safety of distribution system and the waiting time of users. YALMIP/CPLEX efficientcommercial solver is used to solve the upper and lower level problems iteratively. The invention can not only alleviate the traffic jam near the charging station; But also can make the load distribute evenly, reduce the network loss and ensure the safe and economical operation of the power network; Also can meet the EV charging demand, improve customer satisfaction, and ultimately achieve the overall optimization of electrified transportation system operation, taking into account the interests of many aspects.

The invention discloses an optimal control method for a grinding process in a cement plant. By collecting grinding process signals and taking the advanced control as the core, the method realizes automatic control of material level and material level distribution, automatic control of circulating load and ventilation and also realizes optimization of material level of every bin in the mill, optimization of material velocity, optimization of circulating load and ventilation and also realizes output control of feed quantity, rotational speed of a powder-choosing machine and the rotational speed of a fan. The method optimizes the whole grinding process and realizes maximum time-production operation of the grinding process and minimum grinding unit consumption. At the same time, the failure of the grinding process is diagnosed, the safety of the grinding process is estimated, the grinding process is evaluated and analyzed, and the reasonable suggestion is given to the operation of the grinding process, thus assuring a continual, stable, safe and economical operation of the grinding process. The method can be widely used in the grinding process in the cement plant or in similar grinding processes in other fields.

The invention discloses a coordination and optimization control method for a multi-energy complement comprehensive energy system, optimization control for comprehensive energy system cooling heating and power energy flow is realized through a hierarchical regulatory mechanism, wherein a scheduling optimization layer serves operation cost minimization as a target, according to system operation constraint conditions, cooling heating and power load requirements are combined to perform current plan optimization, according to the current load plan obtained by the scheduling optimization layer, a coordination control layer combines current operation condition of the system to obtain a real-time cooling heating and power load instruction, and the coordination control layer transmits the instruction to an automatic control system of equipment relative to the comprehensive energy system through a real-time control layer. According to the invention, coordination dispatching and control of the comprehensive energy system in current and real time can be realized, negative influences for system optimization caused by energy demand uncertainty and load prediction error are eliminated, economic operation of the comprehensive energy system is realized, so that energy utilization rate of the system is improved.

The invention provides a real-time dynamic measurement method for measuring radial clearance between a steam turbine rotor and a stator. The method is characterized in that the method comprises the steps of determining distance measurement devices for radial clearance, determining radial clearance between the rotor and the stator, determining the radial clearance between the rotor and the stator, determining the distance from an emitter to the surface of the rotor, calculating vertical offset amount of the rotor when the center of the rotor shifts, calculating horizontal offset amount of the rotor when the center of the rotor shifts, calculating the rotor offset amount at any position and calculating the radial clearance between the steam turbine rotor and the stator. The method can carry out dynamic measurement on the rotor labyrinth clearance and blade top labyrinth clearance of a running steam turbine accurately and quickly, thereby solving the problem that the measuring error of the radial clearance between the steam turbine rotor and the stator is large and the radial clearance cannot be measured online dynamically and accurately, ensuring safe and economical operation of the machine set and saving halt overhaul time.

The invention relates to an optimization method of spraying humidification system of a direct air condenser, which is used for improving the vacuum degree of the condenser and ensuring the safe and economic operation of a generator unit. The invention adopts the technical scheme that the working performance of the air condenser under a traditional spraying humidification system is simulated through numerical values, and the influence of the distance from a nozzle to a heat transferring surface, the mounting height and the spraying direction angle of the nozzle on the pressure of the air condenser is analyzed so that the optimal value ranges of the parameters are obtained and the optimal arrangement mode of the atomizing nozzle is confirmed. The invention is used for optimizing the distance from the nozzle to the heat transferring surface and the mounting height and the spraying direction angle of the nozzle through simulating the working performance of the air condenser under the traditional spraying humidification system through the numerical values so as to acquire the optimal value ranges of the parameters, confirm the optimal arrangement mode of the atomizing nozzle, improve the vacuum degree of the condenser to the maximum extent and ensure the safe and economic operation of the generator unit.

The invention belongs to a method for the on-line monitoring and alarming of a convection heating face flue gas temperature field of a power station boiler, which comprises the steps of calculating the average value of temperatures of furnace inner walls on inlet and outlet planes according to monitoring values of the temperatures of the furnace inner walls; additionally arranging flue gas temperature monitoring points at two sides; amending a flue gas average temperature; calculating the flue gas temperature of each point in the inlet and outlet planes of the heating faces, and the flue gas temperature of various planes vertical to the inlet and outlet planes of the heating faces; automatically generating a planar dynamic flue gas temperature colorful distribution diagram; and displaying in real time and providing site conditions and timely adjusting work conditions. The method disclosed by the invention realizes the accurate data monitoring and corresponding and visual diagram distribution display of flue gas temperature fields in the inlet and outlet planes and various longitudinal and horizontal planes vertical to the inlet and outlet planes of each convection heating face of superheater and reheater pipeline systems, provides direct data support for adjusting the burning work condition of the operation site of the power station boiler, and realizes the safe and economic operation of the convection heating faces of the superheater and reheater pipeline systems of the power station boiler.

The invention discloses an optimized operation method for an electric bus charging and battery swapping station. The optimized operation method for the electric bus charging and battery swapping station comprises the steps of firstly, establishing a vehicle battery swapping demand and battery pack charging demand model on the basis of a battery swapping rule; secondly, giving an evaluation index,establishing a battery pack evaluation system according to an entropy weight method and optimally matching a vehicle battery swapping demand and a battery pack charging demand to guarantee the balanced use of battery packs and prolong the service lives of the battery packs; and establishing a battery pack orderly charging double-layer optimized model in the electric bus charging and battery swapping station on the basis, and optimizing the battery swapping rule and a battery pack charging scheme in the electric bus charging and battery swapping station in a combined manner to obtain an optimalbattery swapping rule and an optimal charging scheme. Compared with a traditional operation method, the optimized operation method for the electric bus charging and battery swapping station has the advantage that adverse effect on a power grid due to large-scale access of the battery packs to the power grid is reduced on the basis of guaranteeing the safe and economic operation in the electric bus charging and battery swapping station.

The invention discloses a load distribution method for multi-line power restoration after a power distribution network fault. The method is a calculating method used for how to divide load in a non-failure power-losing district after the power distribution network fault is removed and distribute the load to multiple power supply paths to restore power supply. The load distribution steps are as follows: calculating the extreme load distribution ratio and the critical load sharing ratio which correspond to each power supply path; and confirming the optimal load distribution ratio. According to the method, least power loss of a non-power-losing district is aimed at to obtain the extreme load distribution ratio, the critical load sharing ratio is obtained through voltage and current safety restriction, the extreme load distribution ratio and the critical load sharing ratio are considered in a combined mode to adjust load distribution so as to meet safe economy requirements and obtain the optimal load distribution ratio, and therefore a reasonable and effective load distribution scheme is confirmed, and a power-losing district is divided, and network failure reconstruction is completed. The load distribution method for the multi-line power restoration after the power distribution network fault is simple, convenient and effective, is favorable to realizing quick fault restoration, and optimizes distribution network operation.

The invention discloses an optimized control method for the milling process in cement plant, which realizes the automatic control of the charge level and the distribution thereof, the automatic control of cycling load and the automatic control of ventilation quantity through collecting the milling process signal with the based on advanced control. The invention also realizes the optimizations of each charge level into the mill, the material flow rate, the cycling load and the ventilation quantity, thereby outputting and controlling the feeding quantity, the rotation speed of the power concentrator and the rotation speed of fan. The invention makes an integral optimization for the milling process and realizes the running when the milling process lies in the maximum state or the running under the minimum milling consumption. Meanwhile, the invention can diagnose the fault of the milling process, evaluate the safety of the milling process, value and analyze the running of the milling process and propose reasonable suggestions for the operation of milling process, thereby guaranteeing constant, stable, safe and economic running for the milling process. The invention can be widely applied to the milling process in cement plant or to the milling processes of other industries with similar techniques.

The invention discloses a digital electro-hydraulic adjusting system for steam turbine, comprising decentralized control system at each control point in unit, virtual controlling emulator system and program control system. By program control system actual running parameters of each unit transmitted by decentralized control system and purpose value in database are compared and parameters are corrected so that units are run under the best parameters and working conditions meanwhile datum are transmitted to monitoring system, and fault diagnosing and optimal controlling system so that fault diagnosing and prewarning are performed in time. Compared with prior technology, auto-controlling, optimal running, safety monitoring, fault diagnosing and forecasting are integrated so that automatic management level of power enterprise is improved. It is provided with large economical and practical value in automatic controlling for production process in power enterprise.

The invention discloses an energy-saving cooling method and an energy-saving cooling system for reducing exhaust steam pressure of an air-cooled unit in a power plant, which are used for solving the problem that power output of the air-cooled unit is blocked in summer. According to the method, the exhaust steam pressure of the air-cooled unit is reduced by setting refrigerating equipment and adopting the following measures: (a), the working solution of a water-ring vacuum pump is cooled by chilled water prepared by the refrigerating circulating equipment through a cooler, and the temperature of the working solution is reduced to a set value; (b), the industrial desalted water is cooled by the chilled water prepared by the refrigerating circulating equipment through the cooler, one part ofthe cooled industrial desalted water is used for evaporative cooling of the outlet air of an axial flow fan of the air-cooled unit through a nozzle, and the other part of the cooled industrial desalted water enters a steam turbine exhaust pipeline; and (c), the condensed water is divided into two parts through a condensed water pump, wherein one part of the condensed water enters a steam turbine heat regenerator and is delivered to a boiler, and the other part of the condensed water is cooled by the chilled water prepared by the refrigerating circulating equipment through the cooler, enters the steam turbine exhaust pipeline and is mixed with the exhaust steam to absorb latent heat of vaporization. By the improvement, the exhaust steam pressure of the air-cooled unit in the power plant can be effectively reduced, and safe and economic operation of the unit in summer is ensured.

The invention discloses a state detection and protection method for a circuit breaker opening and closing coil. The invention provides a state detection and protection system for a circuit breaker opening and closing coil, deduces a coil equivalent heating formula through theoretical calculation and coil opening and closing material analysis, and achieves the purpose of protecting the coil by cutting off the electrified loop before the coil reaches a heat melting point through the calculation of heat productivity. IGBT power electronic components are easy to damage after long-term operation, the service life of an IGBT is prolonged by combining with a relay, and the purpose of performing reliable operation and cutting off a loop reliably can be achieved; a theoretical basis is provided for the circuit breaker maintenance; the safe reliability of the circuit breaker opening and closing coil is improved; the safe operation capability of a transformer substation can be effectively improved, the field maintenance workload can be effectively reduced, and the economic benefit is remarkable; and the state detection and protection method guarantees the safe and economical operation of the transformer substation system, and improves the power supply reliability of the transformer substation.

The invention discloses a deep processing method of urban recycled water by using it as industrial cycling cooling water comprising the steps of, the urban recycled water being collected and entering the recycled water pool, then entering pressure type mixer, entering into clarification tank, liming by wet method for softening, condensation, settlement and automatic de-sludging, the output water flowing into the circular double chamber filter, then entering clean water tank through pressure type mixer, the clean water being pumped to the cycling water pump discharge pressure tube after the compensator to be used for re-circulated cooling water system.

The invention, which belongs to the optimization operation field of the power system, discloses a linear approximation solution method of voltage and reactive power optimization of a distribution network. An active distribution network reactive power optimization module is established by using reactive power outputs of a distributed power supply and a discrete reactive power regulating device in a distribution network as state variables and using the operation transmission loss of the distribution network as an objective function; linearization is carried out on an active distribution network reactive power optimization module to obtain a linear approximation model; and alternate iteration is carried out on a loaf flow analysis and the linear approximation model to solve a solution approximating an original non-convex problem. According to the invention, for the distribution network design with loop network operation, the reactive power regulation capability of the distributed power supply can be fully utilized to realize coordinated cooperation with other reactive-load compensation devices; over-voltage and under-voltage problems caused by grid connection of a distributed power supply can be solved; the operation losses of the distribution network can be reduced; the capability of the distribution network for absorbing the distributed power supply can be improved; the safe and economic operation of the distribution network can be guaranteed; and the model solution becomes simple and reliable and no non-feasible solution is generated.

The invention discloses a power distribution network coordinated control method and belongs to the power distribution network control technical field. With the method adopted, the technical problem that a traditional power system reactive power optimization method cannot be applied to the optimization process of an optical storage system-containing power distribution network can be solved. The method of the invention includes the following steps that: a load probability model and a photovoltaic output probability model in a power distribution network are constructed according to network framework parameters, illumination intensity and load fluctuation parameters; a multi-objective probability optimal model of the distribution network is constructed according to the load probability model and the photovoltaic output probability model and based on the adjustment capacity of a reactive power compensation device, a photovoltaic inverter and an energy storage device; the Pareto optimal solution set of the multi-objective probability optimal model is obtained according to the multi-objective probability optimal model; the optimal compromise solution of the multi-objective probability optimal model is obtained according to the Pareto optimal solution set and the fuzzy set theory; and the power distribution network is controlled in a coordinated manner according to the optimal compromise solution. The power distribution network coordinated control method of the present invention is applied to the coordinated control of power distribution networks.

The invention discloses a robust optimization coordinated scheduling method for an alternating current-direct current hybrid microgrid. The method comprises the following steps: step 10) source load prediction data are acquired, and an uncertainty set is constructed; step 20) the objective function of an optimal scheduling model is obtained; step 30 ) the constraint conditions of the optimal scheduling model are established; and step 40) a robust optimization scheduling problem is solved: a column constraint generation algorithm is adopted to solve the robust optimization problem, and the robust coordinated operation mode of the alternating current-direct current hybrid microgrid is obtained. According to the method, a plurality of source load uncertainties in the alternating current-direct current hybrid microgrid are considered; the robust optimal scheduling of the alternating current-direct current hybrid microgrid can be realized; and guidance and assistance can be provided for theformulation of the operating modes of the alternating current-direct current hybrid microgrid.

The invention discloses a reactive voltage control sensitivity analysis method aiming at scaled wind power. The method comprises the following steps that a system sensitive equation is calculated; a Jacobi matrix including the studied node power or the voltage sensitivity information is calculated; the sensitivity control is carried out by aiming at the response features of each wind power plant. On the premise of ensuring the safe and economic operation of an electric network, the goals of greatly improving the receiving and sending capability of the electricity network on new energy sources, reducing the wind curtailment and improving the new energy online electricity quantity are achieved.

The invention discloses a sensitivity-based reactive compensation and location optimization method. The method is characterized by comprising the following steps: building a reactive voltage relational model; selecting reactive compensation nodes on the basis of the reactive voltage relational model so as to build a reactive compensation node selection optimization model; calculating optimized objective functions of all the reactive compensation nodes in the built reactive compensation node selection optimization model; selecting to add reactive compensation to the node which obtains the optimal objective function through calculation. Through location optimization of reactive compensation equipment, on the premise of guaranteeing safe and economical operation of a grid, the reception and delivery capabilities of the grid to a new energy are greatly improved, wind curtailment is reduced, and the purpose of improving the on-grid energy of the new energy is achieved.