63results about How to "Reduce spare capacity" patented technology

The invention discloses a method for accurately estimating wind power prediction error intervals. The method comprises the following steps: firstly, obtaining historical wind power data of a wind power plant; secondly, calculating wind power predication errors of all prediction points of the wind power plant, and establishing a wind power predication error distribution model; thirdly, establishing an error probability density function according to the distribution of the predication errors; fourthly, obtaining a confidence interval, meeting a certain confidence level, of the predication errors according to a given wind power predication value; and fifthly, calculating the shortest confidence interval through a Lagrange multiplier algorithm. On the basis of point predication, a probability density function of wind power prediction errors is obtained through interval prediction, and the confidence interval under a certain confidence level is calculated by a probability theory. In this way, the reliability of the interval to contain a wind power point predication value is determined, and the precision of wind power interval prediction is effectively improved.

The invention discloses a wind turbines input wind speed equivalent method taking into account the influence of wind direction, the method takes into account time-space correlations of wind speed and wind direction, and establishes an equivalent wind-input model of wind turbines. The technical scheme comprises the following steps of: grouping samples according to the mutability of wind speed and wind direction; establishing a synthesized wind speed model taking into account the influence of wind direction in each group of samples; modulating the synthesized wind speed model in each group by using the Markov chain to form wind speed time series; computing the output power of the wind turbines by adopting the synthesized wind speed model taking into account the influence of wind direction and a traditional wind speed model, and then comparing with the observed value of the output power of the wind turbines, thereby verifying the rationality of the method. The synthesized wind speed time series obtained by this method is not only helpful to evaluate the dynamic characteristics of a synchronized wind farm and the influence on power grid operation, but also reasonably arranges a production plan for the power grid dispatching department, and reduces system reserve capacity so as to provide accurate wind power data.

The invention provides a wind power plant energy storage volume configuration method capable of improving the dispatching economy of an electric power system. The method is characterized by comprising the contents of the definition of prediction errors and the error rate, the relationship among the system wind power standby volume, the energy storage system volume and the wind-power power prediction errors, wind power standby volume determination, energy storage volume determination, confidence degree definition and the like. An energy storage system is used for compensating the time period power shortage with greater wind-power power prediction errors for power and energy time transfer features and fast response capability, a target function with the minimum sum of the system standby volume cost and the configured energy storage volume cost is built, matlab programming is utilized for solving the energy storage system volume in the target function, the goal of greatly reducing the wind-power standby volume of the system at less energy storage volume configuration can be realized, and the operation economy of the system can be improved.

The invention discloses a short-term wind power prediction method based on a multi-channel convolutional neural network and a time convolutional network. The method comprises the steps of 1, extracting related features from wind power historical data and forming a sample set; 2, correcting the short-term prediction wind speed data in the sample set by using a multi-layer LSTM neural network model;3, performing normalization processing on the corrected sample set data, and dividing the sample set data into a training set and a test set; 4, respectively carrying out initialization setting on the three-channel CNNLSTM neural network and the TCN time convolution network, and respectively training the two networks by utilizing the training set; 5, respectively inputting the test set into the two neural network models, performing model fusion by using a weighted average method, and outputting a final prediction result; and 6, evaluating the prediction result according to various predefinedevaluation indexes. Experiments prove that the method has high accuracy and robustness for short-term wind power prediction.

The invention discloses a wind electricity power probability density predicting method based on a genetic algorithm and support vector quantile regression. The method is characterized by comprising the following steps: 1, acquiring data of output power of a wind electric field and carrying out data cleaning; a, carrying out normalization processing on sample data, and selecting data of training sets and testing sets; 3, establishing a support vector quantile regression model; 4, optimizing support vector quantile regression parameters by using the genetic algorithm; and 5, establishing a wind electricity power probability density predicting model to obtain a final wind electricity power predicting result. By the genetic algorithm, global searching can be implemented for optimization, wind electricity power predicting precision is improved, nondeterminacy of wind electricity power can be quantified, and basis is provided for safe and stable running of wind electricity connection.

The invention discloses a regional power grid source network load storage multivariate coordination ubiquitous scheduling control system, which comprises a decision-making layer, a micro-grid coordination control layer, and an equipment layer. The decision-making layer is used for acquires operation data of each control object device from the micro-grid coordination control layer, predicting renewable energy output and load requirements in a region, completing peak regulation and frequency modulation, reserve capacity coordination control and power transaction security check, carrying out day-ahead and intra-day collaborative optimization scheduling on each control object, and issuing a control target to the micro-grid coordination control layer. The micro-grid coordination control layer is used for realizing uploading of operation data of equipment in the micro-grid to the decision-making layer, realizing the internal coordination control and economic dispatch of the micro-grid, decomposing the decision-making layer control instruction and issuing the instruction to the equipment layer. The equipment layer is used for acquiring related equipment operation data and uploading the data to the micro-grid coordination control layer; executing a control instruction of the micro-grid coordination control layer; and island operation of the equipment in emergency is supported. According to the invention, global coordination optimization control under a multi-dimensional target can be realized, and the new energy acceptance capability and the power grid operation economy are improved.

The invention relates to an island microgrid multi-inverter control system with an active filtering function and a working method thereof. The island microgrid multi-inverter control system comprises a plurality of parallelly-connected inverters and linear and nonlinear loads. The working method includes the steps of harmonic extraction, active harmonic control, power droop control and voltage and current control. The island microgrid multi-inverter control system provides energy to the loads; if harmonic distortion rate of voltage and current of a microgrid common bus is overlarge, the inverters start an auxiliary function of active filtering; if the harmonic distortion rate of voltage and current of the microgrid common bus is within a reasonable range, the inverters cut off the auxiliary function of active filtering; start and cut-off of the active filtering auxiliary function of the inverters are completed seamlessly. The island microgrid multi-inverter control system has the active filtering function, so that harmonic current distortion rate and harmonic voltage distortion rate of the island microgrid common bus are lowered, and stability of voltage of a microgrid is guaranteed; spare capacity of active filtering equipment of the microgrid is reduced, and designing cost of a microgrid system is lowered.

The invention belongs to the field of dispatching of a power system, and particularly provides a chance constraint mixed integer programming-based wind-fire coordinated rolling dispatching method considering wind power characteristic with regard to influence of large-scale wind power randomness and fluctuation on making of a power system dispatching plan. According to the method, the wind power characteristic and the influence on making of a rolling dispatching plan are researched, a wind-fire coordinated rolling dispatching model considering the wind power characteristic is built, and a solution is figured out by combination of matlab and yamlip; By a rolling dispatching strategy, the standby capacity of the system is effectively reduced, the running cost of the system is reduced, the system economy is improved, the model considers a wind power ramping constraint, the harm of a wind power ramping accident can be effectively reduced, and the system safety is improved. On the basis of chance constraint mixed integer programming, the rolling dispatching method considering the wind power characteristic is proposed, the method which is proposed by the invention is further used for rolling dispatching of a wind-fire combined system, the safety and the economy of the system are effectively compatible, and the system dispatching difficulty caused by wind power grid connection on a large scale is reduced.

A neural network wind power forecasting method and system includes: collecting numerical weather forecasting data at forecasting time; the wind power prediction value is obtained by substituting the numerical weather forecast data into the prediction model constructed in advance. The prediction model is based on principal component analysis and neural network. The technical scheme of the inventioneffectively improves the prediction accuracy, shows that the method has certain feasibility and advancement in wind power prediction based on numerical weather prediction, and has certain advantagesin processing large sample data.

The invention discloses a method for predicating the temperature of a photovoltaic cell through photo-thermal property coupling. The method includes the following steps that in combination with actual time and irradiance information provided by TMY data obtained through standard measurement, vertical equivalence is performed on incident light of the photovoltaic cell module, and based on an atmospheric dispersion longitudinal transmission model method, a vertical equivalence incident spectrum of a disperse wavelength is obtained; in combination with a crystal silicon layer texture structure and photo-thermal coupling properties of the anti-reflection process of an ARC layer, the wavelength dispersion absorption coefficient of each layer of the layered structure of the photovoltaic cell is calculated to obtained the flux of radiation absorbed by each layer of the structure; a layered structure energy balance equation of the photovoltaic cell is established, and a photovoltaic cell layered structure working temperature sequence corresponding to a time sequence is obtained through iterative calculation. On the basis of the existing function of predicating the output power of the photovoltaic cell, the function of predicating the working temperature of the photovoltaic cell module is further achieved, so that the precision of predicating the output power of the photovoltaic cell module is easily improved, and accordingly the output power of the photovoltaic cell module is accurately predicated.

The invention discloses an optimal scheduling model for a park-level comprehensive energy system. The optimal scheduling model comprises an energy supply technology module, which models the park energy supply technology from the aspects of energy production, conversion, conveying, storage and the like; a terminal energy demand module, which depicts three types of industries and three terminal energy demands of cooling, heating and power of lives of residents; and a system operation optimization module. According to the optimal scheduling model for the park-level comprehensive energy system provided by the invention, firstly, load shedding sequence processing can be carried out according to reliability requirements under extreme conditions such as energy supply shortage and the like, and the energy supply reliability of important users such as hospitals is guaranteed; secondly, energy storage can be carried out in the electricity low valley period, and the renewable energy consumption capacity of a system is increased; and finally, stored energy can be used for energy supply during the heat supply peak period to perform thermoelectric decoupling, so that the flexibility of the system is enhanced, and a better application prospect is brought.

The invention discloses an equivalent wind speed method for processing the static power equivalent dispersion problem of a wind power station and the method is characterized by comprising the following steps: analyzing the output dispersion of each wind turbine of the wind power station, carrying out the statistic processing on the actual running data of each wind turbine, analyzing the position differences of each wind turbine and the dispersion of the inside wind energy of the wind power stations which are mutually affected, searching the wind turbine which selects the integral running action and the inside dispersion of the wind power station by the smallest error in a circulating way; confirming the equivalent wind speed, when each wind turbine is arranged in a regular manner, carrying out statistic processing on the wind speed at the locations of the four vertex angles of the wind power station to work out the equivalent wind speed and taking the N times of the output power of the wind turbine under the drive of the equivalent wind speed as the arithmetic of the total output power of the wind power station; adopting an average absolute percentage error to carry out relative analysis on the output of the equivalent model of the wind power station and the actual output of the wind power station based on the error analyzing by using the equivalent wind speed to describe the static behavior equivalence of the wind power station, thus evaluating the precision of the method and the advantages relative to the traditional method.

The invention discloses a method for partitioning power supply areas based on a distribution network GIS system. According to the method, grids are used as the smallest load blocks; and based on selection of a core grid, load optimized power supply areas are implemented by taking the most uniform load of each power supply area as the target, taking limitation to a power supply radius as a constraint condition and merging and regulating a plurality of adjacent grids. The method has the advantage of being visual to display; the power supply areas are automatically partitioned by calculation according to actual load of power equipment in each grid; space distribution of an power supply load of a power distribution network is objectively and accurately reflected; by optimizing power supply partitioning, a position and a capacity-load ratio of a distribution and transformation device can be properly regulated and optimized, so that spare capacity is reduced; and objective and scientific technical supports are provided for planning and construction of the intra-area power distribution network.

The invention relates to a wind-solar complementary generation system. By a bran-new design framework, a photovoltaic power generation link is embedded into a wind power generation link, so that system output power fluctuation can be stabilized; a load in a microgrid can be adjusted; and the work efficiency of the generation system is effectively improved. The invention further relates to a control method for the wind-solar complementary generation system. The method comprises a combined control method for stabilizing power fluctuation and adjusting the load in the microgrid. By combination of a power prediction technology and a low-pass filter principle, the system generation power in the next 24 hours is predicted in advance by the perspectiveness of the prediction technology. Due to the uncertainty and the volatility of wind and solar radiation, a lot of high-frequency components exist in the actual generation power of the wind-solar complementary generation system. A predicted value is very close to an actual value, the high-frequency component in the predicted value is filtered out through a low-pass filter; and the processed predicted value is taken as a reference value of the system output power, so that the system generation power fluctuation can be effectively stabilized.

The invention discloses a battery power energy storing device for smoothing the output power of wind power generation, and in particular relates to a battery power energy storing system for smoothing the output power of the wind power generation. The battery power energy storing device for smoothing the output power of the wind power generation comprises an energy storing battery pack and a monitoring system, wherein the power storing battery pack and an output circuit of a wind-electricity system are connected to an AC bus in parallel. The battery power energy storing device is characterized in that a power distribution device is connected between the energy storing battery pack and the AC bus; and the monitoring system is connected with an electric power protection device. The battery power energy storing device coordinates the output power of the wind power generation so that the battery power energy storing device effectively reduces the impact and the influence on a power network during wind power integration, enhances the consistency between the wind-electricity output power and a prediction, and ensures the credibility of an electric power supply. The energy storing device also reduces the spare capacity of an electric system, enhances the running economy of the electric system and improves the wind-electricity receiving capacity of the electric system.

The embodiment of the invention discloses a parallel operation method for transformers based on a current relay. Circuit breakers are connected between several sections of buses. A transformer is connected between a high-voltage power bus and each section of bus. The transformers have equal rated voltage, approximately same transformation ratio, same connection group mark number, approximately equal short-circuit impedance per-unit value and approximately same short-circuit impedance angle. The error of the transformation ratios of the transformers does not exceed +/-0.5%. The errors of the short-circuit impedance per-unit values and of the short-circuit impedance angles of the transformers do not exceed +/-10%. When the current of a first transformer exceeds 5% of the set value, a circuitbreaker QF2 is changed from a normally open state to a normally closed state, and a second transformer is energized and put into operation. When the current of the first transformer drops to the setvalue, the circuit breaker QF2 is reset, and the second transformer is out of operation. The method of the invention ensures that there is no loop current in the windings during no-load operation of the transformers, ensures that the load distribution is directly proportional to the capacity, improves the reliability of power supply, reduces the reserve capacity, and improves the operation efficiency.

The invention provides a regional power prediction method for a photovoltaic power station group. The method comprises the following steps of: computing power prediction accuracy indexes of regional photovoltaic power stations and coefficients of correlation between the actual output power of each photovoltaic power station in an area and the actual total output power of the area; selecting a representative photovoltaic power station, and computing weight coefficients of the representative photovoltaic power station; and computing a generation power prediction value of a regional photovoltaic power station group. A power network dispatching department can realize regional prediction of photovoltaic generated power on the basis that parts of the photovoltaic power stations accomplish photovoltaic generated power prediction functions, so a generation plan of the following day is made according to a regional prediction result, a power network dispatching mode is optimized in a regional range, the quality of electric energy is ensured, the spare capacity of a system is reduced, the operating cost of a power system is reduced, and smooth implementation of a national new energy strategy is facilitated.

The invention discloses an uncertain wind power output-based coordinated optimization method for wind power grid connection. The method comprises the following steps: collecting related parameters of a system; establishing a wind power prediction error calculation model and a wind power prediction error growth model, and obtaining uncertain wind power output according to the wind power prediction error growth model; on the basis of establishing a weight interval model that load can participate into scheduling and introducing a schedulable load and energy storage system, establishing a wind power cost model and establishing a coordinated optimization scheduling model for wind power grid connection of considering the schedulable load and energy storage system, and obtaining power output of various units within the scheduling period according to the optimization model; and calculating the wind curtailment rate of the system according to the power output of various units, and analyzing various costs and the standby condition of the system. According to the internet coordinated optimization model for wind power grid connection based on the uncertain wind power output and the schedulable load weight interval established by the method, the optimization scheduling scheme with obvious social and economic benefits is provided for scheduling personnel when solving the wind power integration problem.

The invention relates to a photovoltaic power station group output power transmission capacity static optimization method based on stored energy. In order to solve the problems that current photovoltaic power station group output power capacity is not reasonable in distribution and the using rate is low, the photovoltaic power station group output power transmission capacity static optimization method is based on photovoltaic power station active power output characteristics and load characteristics, factors such as power transmission earnings, power transmission line building cost, energy storage system cost, reduction of reserve capacity and environmental influences are comprehensively considered, an optimization function with maximization of the comprehensive investment revenue of a power transmission system as a target is built, and the photovoltaic power station output power transmission capacity is accordingly optimized. The photovoltaic power station group output power transmission capacity static optimization method has the advantages of being scientific, reasonable, high in applicability, maximized in comprehensive revenue and the like.

The invention provides a method for stabilizing and suppressing the power fluctuation of a flexible direct-current distribution network based on the combined use of an energy storage system and a converter station. The method includes the following steps that: the maximum value f (t) of the active power change of a first cycle is calculated through acquiring the active power PD and active power PS at two ends of the converter station at a time point t, the energy state (SOC) of the energy storage system and the PD of all sampling points in the first cycle before the time point t in real time; the constant power reference value Pref of the constant power converter station is set according to the capacity proportion of the converter station; and the output power PB of the energy storage system is adjusted according to the limiting exceeding situation of the power fluctuation f (t) and the energy state (SOC) of the energy storage system, and the above steps are executed circularly in a system operating cycle T. With the method adopted, under wind electricity, photovoltaic and load quick change conditions, the power fluctuation of the direct-current distribution network can be effectively suppressed and can be controlled to an allowable fluctuation range, and the safe and reliable operation of a system can be ensured.

The invention discloses a system reserve capacity decision-making method with consideration of a demand response. On the basis of demand elasticity estimation, a user outage cost value of a user is estimated; and a system reserve cost value includes a capacity cost value and a real-time transfer power cost value and a system reserve cost value is estimated according to a capacity cost calculation model and a real-time transfer power cost calculation model. With a minimum sum of a user outage cost value and a system reserve cost value as an objective, a system optimal reserve capacity value is calculated by considering constraint conditions like system power balance, minimum reserve capacity limit, generator set output, upper and lower limits of spinning reserve, and system static safety. According to the system reserve capacity decision-making method, demand-side resources are introduced into standby resources, so that the reserve capacity of the power generation side can be reduced and the system equipment utilization rate can be increased.

The invention belongs to the technical field of power grids, and in particular relates to a peak load shaving lever control method based on battery energy storage. In a large number of storage battery-mounted power grid systems, a storage battery not only serves to store electrical energy, but also plays an irreplaceable role in alleviating peak load regulating of the power grids. The method includes the following steps: performing modeling on its own energy storage state of the storage battery; calculating reduced power generation capacity during a low valley period; calculating a lifted lowvalley value at a low valley moment; and calculating peak-shaving capacity, and overall peak load shaving capability in a system with rated storage energy power and capacity of the storage battery. Through control of a difference in power generation capacity at different stages and load conditions, charging and discharging time are calculated, the charging and discharging time are controlled to achieve a lever form, less battery storage energy is utilized to achieve a function of peak load shaving to a great extent, and so, under the premise of reducing the spare capacity of a unit, the reliability of power supply can be ensured, a lot of energy is saved, the peak load shaving capacity of the power grids is improved, a peak-to-valley difference is reduced, and the control of the power grids is more stable and reliable.

The invention provides a multifunctional dynamic wind energy power generation device which comprises a guide flow cover, a rotating buckle, a fan blade, a power generator, a base fixed structure, a reinforcing structure, a lifting device, a protection electric power storage box structure, an intelligent controlling device, a ground, a streetlamp, a lamp cover, a connecting sleeve rod, a fixed latch, a solar cell plate, a tail rod, a connection buckle, a tail wing, a tail rod pin shaft, a rotary body and a security alarm structure, wherein a wind energy data module, a communication system, a remote control positioning system and an expense calculation module are arranged in the intelligent controlling device. The multifunctional dynamic wind energy power generation device disclosed by the invention is easy to operate, and is high in intelligence; wind-light complementary control is carried out by the controller; multiple types of data can be integrated by the wind energy data module, so that spare capacity of power grid is reduced, and wind power generation has higher quality and values.

The invention relates to a lithium battery pack stepless active and passive equalization circuit and method. The circuit comprises an equalization direction selection circuit, a switch array and an LCresonance energy storage and energy transfer branch with three differentiated capacities, and the passive equalization circuit adopts a resistance shunt structure and comprises a measurement and control circuit composed of voltage, current and temperature. Temperature interference factors are added into the non-level active and passive equalization method, a dynamic double-threshold criterion with voltage, SOC and temperature as input quantities is obtained, and the active equalization circuit and the passive equalization circuit are respectively accessed by taking state of charge (SOC) as ademarcation standard, so that the purpose of reducing invalid cyclic charging and discharging times is achieved, the equalization efficiency is improved, and the reduction speed of the cycle service life of the lithium-ion battery pack is delayed. According to the invention, useless cyclic charging and discharging times can be reduced, the equalization time is shortened, the equalization time in acharging state is shortened by about 15% compared with a single threshold voltage equalization method, and the equalization time in a discharging state is shortened by about 19%.

The invention discloses an environment-friendly utilization method of a waste power battery of a new energy automobile. The method comprises the following steps of S1, screening waste power batteries,wherein the SOH of each screened waste power battery is not less than 50%; and S2, detecting the waste power batteries in Step S1, and recombining and integrating the waste power batteries meeting adetection standard to obtain a battery pack. The method is good in recycling effect.