72 results about "Forced outage" patented technology

Power industry boiler tube failures are a major cause of utility forced outages in the United States, with approximately 41,000 tube failures occurring every year at a cost of $5 billion a year. Accordingly, early tube leak detection and isolation is highly desirable. Early detection allows scheduling of a repair rather than suffering a forced outage, and significantly increases the chance of preventing damage to adjacent tubes. The instant detection scheme starts with identification of boiler tube leak process variables which are divided into universal sensitive variables, local leak sensitive variables, group leak sensitive variables, and subgroup leak sensitive variables, and which may be automatically be obtained using a data driven approach and a leak sensitivity function. One embodiment uses artificial neural networks (ANN) to learn the map between appropriate leak sensitive variables and the leak behavior. The second design philosophy integrates ANNs with approximate reasoning using fuzzy logic and fuzzy sets. In the second design, ANNs are used for learning, while approximate reasoning and inference engines are used for decision making. Advantages include use of already monitored process variables, no additional hardware and / or maintenance requirements, systematic processing does not require an expert system and / or a skilled operator, and the systems are portable and can be easily tailored for use on a variety of different boilers.

Power industry boiler tube failures are a major cause of utility forced outages in the United States, with approximately 41,000 tube failures occurring every year at a cost of $5 billion a year. Accordingly, early tube leak detection and isolation is highly desirable. Early detection allows scheduling of a repair rather than suffering a forced outage, and significantly increases the chance of preventing damage to adjacent tubes. The instant detection scheme starts with identification of boiler tube leak process variables which are divided into universal sensitive variables, local leak sensitive variables, group leak sensitive variables, and subgroup leak sensitive variables, and which may be automatically be obtained using a data driven approach and a leak sensitivity function. One embodiment uses artificial neural networks (ANN) to learn the map between appropriate leak sensitive variables and the leak behavior. The second design philosophy integrates ANNs with approximate reasoning using fuzzy logic and fuzzy sets. In the second design, ANNs are used for learning, while approximate reasoning and inference engines are used for decision making. Advantages include use of already monitored process variables, no additional hardware and / or maintenance requirements, systematic processing does not require an expert system and / or a skilled operator, and the systems are portable and can be easily tailored for use on a variety of different boilers.

The invention discloses a centralized feeder automation control method for demarcation fault processing. The method includes the implementation steps of 1) master station system setting: monitoring fault alarm signals of a demarcation switch and a centralized section switch by a distribution automation master station in real time and entering a fault processing program; 2) fault area isolation: tripping a substation outgoing breaker and tripping and locking the demarcation switch to achieve fault user isolation, and sending the fault alarm signals to the distribution automation master station by the demarcation switch and the centralized section switch; and 3) non-fault area power restoration: sending a 'remote closing' order to the substation outgoing breaker by the distribution automation master station for non-fault line power restoration. The method is simple in implementation steps, user phase fault can be processed rapidly, compatibility of centralized feeder automation with the demarcation switch during user phase fault processing is achieved, forced outage range is prevented from enlarging, and safety of a power transmission line is improved.

The invention discloses a wind power integrated power system spinning reserve optimizing method taking wind power overflow into consideration. The wind power integrated power system spinning reserve optimizing method taking wind power overflow into consideration comprises integrating a system uncertainty risk analyzing method and a cost-benefit analyzing method under multi-scenario probability to establish a unit commitment model taking wind power overflow into consideration, by improving a multi-scenario probability-based risk analyzing method capable of simultaneously taking load, wind power predication uncertainty and unit forced outage into consideration, can take the wind power overflow into consideration when computing system load loss risks, and by calculating the target of routine unit generation cost and minimum expected outage cost through cost-benefit analysis, obtains optimized spinning reserve capacity. The wind power integrated power system spinning reserve optimizing method takes wind power overflow into consideration and accordingly can comprehensively take system operation economical benefits into consideration during determining of system spinning reserve to achieve low operation cost.

The invention provides a wind power plant reliability modeling method with weather conditions taken into account. The method comprises the steps of initializing parameters, generating an hourly wind speed sequence of all wind power plants, calculating an hourly output power sequence during normal operation of all wind generation sets in each wind power plant, generating an hourly weather condition sequence of each wind power plant, generating an hourly operation state sequence of all the wind generation sets in each wind power plant, generating an hourly output power sequence of all the wind generation sets in each wind power plant, generating an hourly output power sequence of all the wind power plants, and establishing a multi-state model of all the wind power plants. Due to the fact that factors such as the correlation of the weather conditions of the multiple wind power plants, the influence of the weather conditions on the forced outage rate of the wind power plants and the related outage of the wind power plants under poor weather conditions are taken in account at the same time, the wind power plant model established through the method meets practical situations better.

The invention discloses a power grid fault modeling method under an extreme disaster condition. Based on a proportion risk model, the current external disaster environment, the adjacent element stateinfluence and other factors are considered; modeling analysis is carried out on the forced outage process of the power grid; a power grid fault model is constructed, random sampling of a fault sampleis completed, a dynamic disaster anticipated accident set is established according to a system operation state, disaster characteristics and a power grid equipment health state evaluation result, anda basis is provided for a power grid company to evaluate power supply safety and formulate a scheduling strategy according to actual disaster conditions.

The invention provides a method, a device and a terminal for prevention of burglary of a mobile terminal, and relates to the field of mobile terminals. A non-detachable battery is arranged in the mobile terminal. The method for prevention of burglary of the mobile terminal comprises the following steps of detecting whether alarm trigger conditions for triggering a burglar alarm are met at a mobile terminal side; if the alarm trigger conditions are met, controlling failure of a press type button of the mobile terminal; and obtaining an alarm signal and a preset volume value of the alarm signal, and outputting the alarm signal at the preset volume value through a speaker of the mobile terminal. When anti-theft software of the mobile terminal finds that a mobile phone is stolen, namely the alarm trigger conditions are met, failure of the press type button of the mobile terminal is controlled to prevent a burglar from forced outage to cause an owner to be unable to discover the burglar, meanwhile, the alarm signal is sent to force the burglar to throw the mobile phone away, and the alarm signal can be used for reminding a user to find the stolen mobile phone quickly.

The invention relates to a fast wind power capacity reliability calculating method based on a reliability function. The fast wind power capacity reliability calculating method comprises the following steps: 1) acquiring capacity and forced outage rate of each generator unit in an electrical power system; 2) calculating a unit outage capacity table in the electrical power system; 3) calculating the reliability function of the system; 4) acquiring a hour-class load curve in an assessment target year, a total installed capacity of a wind farm in the electrical power system, and a hour-class wind power output curve in the assessment target year; 5) setting an initial value of wind power capacity reliability; 6) calculating a weighting factor for each hour; 7) calculating wind power capacity reliability in current iteration; 8) according to a wind power capacity reliability result obtained in the current iteration and a capacity reliability result in last iteration, judging whether the iteration is convergent, if so, determining that the current iteration is the wind power capacity reliability result, otherwise, returning to the step 6). The fast wind power capacity reliability calculating method is relatively small in calculation error; by the fast wind power capacity reliability calculating method, the wind power capacity reliability can be accurately calculated in various electrical power systems and under various wind power conditions.

The invention relates to a micro-grid day-ahead optimal scheduling method considering risks. The method comprises the following steps: step 1, uncertainty modeling: establishing an uncertainty model of distributed power supply forced outage and wind power output power based on scene analysis, then selecting a synchronous back substitution elimination technology to carry out scene reduction, and carrying out clustering combination or elimination on a part of scenes with relatively low occurrence probability; step 2, optimization scheduling modeling; and step 3, carrying out simulation tests, setting beta values to be 0.1-0.9, and carrying out the simulation tests respectively to obtain a comparison table of system operation costs, risk values and total operation costs of different beta values, thereby obtaining the beta value with the minimum total operation cost. The invention relates to a micro-grid day-ahead optimization scheduling method of a microgrid considering risks, and provides a micro-grid day-ahead random optimization scheduling model considering risks, which is used for flexibly scheduling various energy sources in the microgrid. Meanwhile, the risk level coefficient isused for controlling the operation risk value of the microgrid day-ahead scheduling strategy. The validity of the proposed model is verified in a microgrid simulation system.

The invention discloses a stray inductance detection device of a laminated busbar. The structure of the device comprises a detection device body, a wiring test interface, a rubber backing ring, a pulse generation bottom box, an adapter frame, a pulse line protection rod, a laminated busbar mounting frame, an anti-electric shock lifting plate and an automatic power-off protection device capable ofigniting and extinguishing arc. The front surface of the detection device body is provided with the wiring test interface and is connected with the wiring test interface in an embedded manner, the upper surface of the rubber backing ring is connected with the lower surface of the detection device body in an attached manner, the pulse generation bottom box is installed on the lower surface of the rubber backing ring, and the adapter frame is arranged on the right surface of the detection device body in a welded manner. Sulfur hexafluoride gas blows to transversely blow and cool an electric arcfor arc extinguishing, the fault that the electric arc on the inner side of the device burns out a wire is avoided, meanwhile, due to insufficient arc extinguishing strength, the device is stopped byguiding forced outage, and fire disasters caused by electric sparks generated on the inner side of the device are prevented.

The invention discloses a method for quickly diagnosing abnormal DC voltage measurement of a converter station. The method comprises the following steps of S1: in a bipolar full-voltage operating modeof a DC system, collecting DC voltages UdH, UdM and UdN, DC current Id, high-end valve group inverter primary AC power Pacv1 and low-end valve group inverter primary AC power Pacv12, and calculatingthe pole DC power Pdc and the sum of two valve group inverter primary AC powers Pac of pole; S2: when the absolute value of UdN is greater than 0.5kV, determining that the UdN measurement is abnormal;when the absolute value of UdN is less than or equal to 0.5kV and the AC / DC power deviation, that is, the absolute value of Pdc-Pac is greater than 12MW, determining that the UdH measurement is abnormal; and when the absolute value of UdN is less than or equal to 0.5kV and the AC / DC power deviation, that is, the absolute value of Pdc-Pac is less than or equal to 12MW, determining that the UdM measurement is abnormal. The invention can detect abnormal faults in DC voltage measurement and determine specific fault measurement points in advance before an alarm is issued by the control and protection system, and can judge faults with abnormally large or small DC voltage measurements, effectively avoids the occurrence of forced DC shutdown events, and ensures the safe and stable operation of the DC transmission system.

The invention discloses a chemical mechanical system using an electromagnetically driven reactor. A first reactor is electromagnetically driven. A vertical agitator comprises a magnetic driver, a vertical agitating shaft and a vertical agitating paddle, the vertical agitating paddle is disposed on the vertical agitating shaft, the magnetic driver is connected to the vertical agitating shaft and drives the vertical agitating shaft to rotate, and the first reactor is provided with a pressure gauge connector, a thermocouple and a burst valve so that forced outage and pressure relief are realizedunder conditions of too high temperature and too high pressure and production process safety is guaranteed.

A household distribution box comprises a distribution box case; two service lines introduced from a transformer into the distribution box case of a consumer; three main lines installed in the distribution box case and provided with two lines and a second service line; two sub-lines installed in the distribution box case and formed by branching the second service line among the main lines into two lines; a first circuit breaker installed in the distribution box case; a second circuit breaker installed in the distribution box case; and a controller connected to the first circuit breaker.