14 results about "Forced outage" patented technology

The invention relates to the technical field of electric power calculation, and provides a capacity demand curve calculation method and device, a medium and equipment, and the method comprises the steps: obtaining unit parameters of a thermal power unit set and time sequence net load data in a target time period; the thermal power generating unit set comprises a plurality of thermal power generating units, and the unit parameters comprise the unit installed capacity, the equivalent forced outage rate and the operation cost of each thermal power generating unit; calculating the semi-invariant of the available capacity of each thermal power generating unit based on a semi-invariant formula and the unit installed capacity, the equivalent forced outage rate and the operation cost of each thermal power generating unit; calculating a capacity demand curve value of each installed capacity based on the time sequence net load data and semi-invariants of the installed capacity and the available capacity of each thermal power generating unit; and determining a capacity demand curve in the target time period. According to the method, the semi-invariant of the available capacity of the thermal power generating unit is calculated through the semi-invariant formula, so that the capacity demand curve value of each installed capacity is calculated, and the calculation accuracy of the capacity demand curve is improved.

The present invention relates to a quotation method for maximizing the benefit of a coal-fired unit on an electricity spot market. The technical solution is as follows: obtaining, by means of calculation, a fuel cost C1 of a unit, a start cost (comprising a fuel consumption fee C2 for starting and a maintenance fee C3 related to the starting of the unit), an opportunity cost C4 caused by an increase in an equivalent forced outage rate, and a fixed cost C5; and on the basis of the cost components of the unit, using a cost-plus pricing method to perform on-grid quotation. A variable cost and the fixed cost of the unit are comprehensively taken into consideration, such that the cost analysis is more comprehensive; and in view of routine thermal performance test results of the unit, by taking factors such as normal aging of the unit, a thermodynamic device defect and an operation parameter deviation into consideration, and on the basis of D+1 load scheduling, fuel costs of the unit under different loads can be known in advance.

The invention provides a method for predicting the lightning stroke fault probability of a power transmission line and evaluating the reliability of the power transmission line based on lightning weather information and a related device, and the method comprises the steps: preprocessing multi-source data (weather radar data, line parameters and topographic data), and outputting a standardized feature set; on the basis of the data set, the lightning current amplitude and distribution in the next one hour are predicted through a ConvLSTM model; determining discharge point coordinates by using amplitude distribution, and calculating a thunderbolt side distance; inputting the amplitude, the distance, the terrain and the line parameters into an XGBoost model, and outputting the section lightning stroke fault probability; and calculating the reliability indexes of the LOLP and the EENS by taking the probability as a forced outage probability and combining a Monte Carlo method. Through multi-source data fusion and space-time sequence modeling, the lightning stroke risk is accurately predicted, a scientific basis is provided for lightning protection design and operation and maintenance of a power system, and the operation reliability of a power grid is improved.

The application provides a catenary fault ranging method and device, a storage medium and an electronic device, and belongs to the field of power grid fault detection. The method comprises the following steps: dividing a to-be-detected line into m equal parts to obtain m intervals; calculating actual times of arrival of a traveling wave generated at a fault from an i-th interval to a first traveling wave fault ranging device and a second traveling wave fault ranging device; calculating a time difference value according to the first fault time, the second fault time and the actual times, wherein the time difference value has a linear relationship with each interval; determining a minimum value of the time difference value according to the linear relationship, and determining an interval corresponding to the minimum value as a fault interval. The device comprises a line equalization module, an actual time calculation module, a fault time calculation module, a time difference value calculation module and a fault interval calculation module. The application can realize accurate positioning, reduce forced outage time of a power transmission line, reduce losses and improve economic benefits.

The embodiment of the invention discloses a reliability evaluation method of a power system and related equipment, and relates to the technical field of reliability evaluation of the power system, and the method comprises the steps: building a capacity state combination table of the power system through obtaining the forced outage rate and available capacity of different types of units in the power system; therefore, the total available capacity of different unit type combinations and the probability corresponding to the capacity state are obtained, extra output uncertainty does not need to be considered, and the calculation complexity is remarkably reduced; according to the capacity state combination table and the load distribution curve, the load loss probability and the expected unsupplied power quantity of the power system in different capacity states are calculated, and the load loss probability and the expected unsupplied power quantity can visually present the reliability of the power system. Therefore, a dispatcher can accurately and intuitively obtain the reliability judgment result of the power system, and the dependence on a complex model is reduced.

The application discloses a general valve-based electronic device with an online maintenance function, which comprises a CPU unit with a redundant configuration, a triggering unit and a back-checking unit with a double-core design. The CPU unit is used for checking data of a control and protection device, receiving control commands and synchronization signals, sending state signals and tripping signals, and sending real-time states of the device and a valve group to a monitoring system. The triggering unit is used for communicating with a TE board in the valve group, sending triggering commands, and realizing control over the valve group. The back-checking unit is used for communicating with the TE board in the valve group, receiving states of the valve group, and realizing monitoring of the valve group. Through the redundant design on the hardware, the triggering pulse logic and the back-checking logic can be adjusted on the software, so that the triggering and control requirements of different power electronic devices are met. Meanwhile, the non-stop maintenance function of the primary system and the secondary system is realized through the test, maintenance and data blocking function design, so that forced outage accidents caused by the damage of single components are avoided.

The invention discloses a forced shutdown and station service power equivalent capacity evaluation method. The method comprises the following steps: acquiring original load data, setting power consumption simulation times, obtaining a probability density function through the original load data and the power consumption simulation times, and taking a random number of the probability density function as a response degree; calculating a demand response capacity and a response load curve according to the response degree, and judging whether a set power consumption simulation frequency is reached or not; when the set electricity consumption simulation times are reached, the demand response capacity and the response load curve are used as random samples, the demand response capacity confidence interval is calculated, the calculation result is output, the interval evaluation index of the load curve after response is obtained through interval number operation, and a reference basis is provided for more scientifically evaluating the demand response effect.

The present invention relates to a quotation method for maximizing the benefit of a coal-fired unit on an electricity spot market. The technical solution is as follows: obtaining, by means of calculation, a fuel cost C1 of a unit, a start cost (comprising a fuel consumption fee C2 for starting and a maintenance fee C3 related to the starting of the unit), an opportunity cost C4 caused by an increase in an equivalent forced outage rate, and a fixed cost C5; and on the basis of the cost components of the unit, using a cost-plus pricing method to perform on-grid quotation. A variable cost and the fixed cost of the unit are comprehensively taken into consideration, such that the cost analysis is more comprehensive; and in view of routine thermal performance test results of the unit, by taking factors such as normal aging of the unit, a thermodynamic device defect and an operation parameter deviation into consideration, and on the basis of D+1 load scheduling, fuel costs of the unit under different loads can be known in advance.

The present disclosure relates to the technical field of power calculation, and provides a capacity demand curve calculation method, device, medium and equipment, which comprises the following steps: obtaining unit parameters of a thermal power unit set and time-series net load data in a target time period; the thermal power unit set comprises multiple thermal power units, and the unit parameters comprise unit installed capacity, equivalent forced outage rate and operation cost of each thermal power unit; calculating semi-invariants of available capacity of each thermal power unit based on a semi-invariant formula and the unit installed capacity, equivalent forced outage rate and operation cost of each thermal power unit; calculating capacity demand curve values of each installed capacity based on the time-series net load data, the unit installed capacity and the semi-invariants of available capacity of each thermal power unit; and further determining a capacity demand curve in the target time period. The semi-invariants of available capacity of the thermal power unit are calculated by the semi-invariant formula, and then the capacity demand curve values of each installed capacity are calculated, thereby improving the calculation accuracy of the capacity demand curve.

The application discloses a power system time-sharing reliability calculation method and system based on medium and long term balance analysis, comprising: obtaining conventional unit installed capacity, forced outage rate and hourly start-stop plan, and simultaneously obtaining hourly load and new energy predicted output; determining the conventional unit in operation, and then performing convolution operation to obtain the available capacity distribution of the conventional unit in the period; sequentially performing joint convolution of the output of each state new energy and the available capacity distribution of the conventional unit in each hour, to form the probability distribution of the total available capacity of the system in the period; comparing the total available capacity probability distribution of each period with the load demand in the period, and calculating the expected value of LOLP and EENS in the period according to the probability of each new energy output state, to realize hourly evaluation. The application can integrate the time-varying start mode of the conventional unit, fully reflect the uncertainty of the new energy, make the reliability evaluation more close to the actual dispatching logic of the power system, and realize time sequence dynamic evaluation of the power supply reliability of the system.

The application discloses a kind of electric heat comprehensive energy system economy and adequacy fast evaluation method and system, based on the time series load curve of the evaluated electric heat comprehensive energy system in a period of time, form electric heat load joint distribution function;According to the working principle of coupling equipment in electric heat comprehensive energy system and electric heat output feasible region, the capacity and forced outage rate information of independent energy supply element are used to convolute correction to electric heat load joint distribution function, consider the energy coupling mechanism of coupling equipment, to solve the difficulty that traditional electric heat coupling equipment modeling is difficult to analyze internal energy conversion mechanism.Economy and adequacy evaluation of electric heat coupling equipment provide theoretical basis.The method of the application carries out fast evaluation to the planning and design scheme of electric heat comprehensive energy system, overcome the shortcomings that existing comprehensive energy system time series simulation evaluation method is difficult to meet the efficient computing demand, can not carry out theoretical analysis to the transformation of energy flow.

The invention discloses a load removal method and device under a cascading failure of a power system, electronic equipment and a storage medium, and belongs to the technical field of line failure removal, and the method comprises the steps: generating a plurality of outer-layer source load fluctuation scenes containing node load power and wind power plant output; in each outer-layer source load fluctuation scene, obtaining a random fault state of each element according to a forced outage rate of each element, and according to the random fault state and a reference operation state of the generator, taking the full-load cost of a power generation node and the minimum generator abandoning penalty as targets; constructing a target function of a corresponding load removal strategy and a corresponding constraint condition; and solving the target function under the constraint condition, and performing load removal according to a corresponding load removal strategy when the full-load cost of the power generation node and the generator abandoning penalty are minimum, so that the problem that the load removal cannot be realized under the cascading failure of the power system in the prior art can be solved.

The invention discloses an interconnection partition electric power system standby planning method for reliability evaluation based on unit fault probability approximation, and belongs to the technical field of electric power system standby planning. The method comprises the following steps: acquiring electric power parameters of all generator sets in each partition in the interconnected partition electric power system, line parameters of all tie lines in the interconnected partition electric power system, and installed capacity proportions of all generator sets in each partition in the interconnected partition electric power system; the electric power parameters comprise the forced shutdown rate of the unit and the rated capacity of the unit; and repeatedly executing the standby capacity updating operation until the reliability index corresponding to the current standby capacity meets a preset reliability target, and generating a decision value of the standby planning of the interconnected partition power system. According to the invention, the problem that the interconnection partition power system standby planning is not accurate enough in the prior art can be solved.

The invention discloses a main network key equipment outage scene generation and maintenance optimization method and system considering weather conditions and common-mode faults, and belongs to the technical field of long-term planning scene generation in a power system. The method comprises the following steps: comprehensively considering key influence factors; establishing a basic degradation model based on Weibull distribution, constructing a covariable function covering weather and common mode influence through a proportional risk model, and quantitatively evaluating the influence of various factors on the forced outage rate of key equipment; designing a recursive sampling algorithm based on a Monte Carlo method and inverse transformation sampling, and combining common-mode disturbance correlation to generate a plurality of random outage scenes meeting forced outage characteristics; on the basis, the equipment maintenance time sequence and resource allocation are jointly optimized by taking minimization of system loss load as a target; and finally, introducing a criticality index, identifying key equipment in the main network equipment, quantitatively evaluating maintenance priorities of the key equipment of the main network in different scenes, and proposing a maintenance scheduling strategy suggestion.