579 results about "Power system scheduling" patented technology

A method of power system dispatch control solves power system dispatch problems by integrating a larger variety of generation, load and storage assets, including without limitation, combined heat and power (CHP) units, renewable generation with forecasting, controllable loads, electric, thermal and water energy storage. The method employs a predictive algorithm to dynamically schedule different assets in order to achieve global optimization and maintain the system normal operation.

The invention relates to an operation and safety monitoring simulation system for a power system, which comprises a power system full digital real-time simulation subsystem used for simulating the operation of a large-scale power system in real time and providing simulation data to other subsystems, a power market simulation subsystem used for simulating and training power market transaction, a PMU / WAMS subsystem used for carrying out real-time dynamic monitoring and analysis on a simulated power system, an SCADA / EMS subsystem used for monitoring and analyzing the simulated power system, a fault information management subsystem used for managing and comprehensively utilizing fault information, a power system dynamic safety assessment and early warning subsystem used for carrying out safety assessment and early warning on the current power system and carrying out safety verification on the operation mode of a future plan, a safety and stability control system performance test subsystem used for testing the performance of a protective relay device, a power system stabilizer (PSS) and other automated equipment as well as a safety and stability control system and equipment, a power system fault diagnosis subsystem used for carrying out on-line diagnosis and intelligent safety alarming on the fault of the simulated power system and providing a dispatching control decision under the fault condition, and a power system recovery control subsystem used for recognizing the state of the fault of the simulated power system, searching and inferring the power supply path of an outage region and providing a power grid recovery control strategy. The system can simulate the operation of a large-scale power grid in real time, and can be used for searching and comprehensively testing the technology and software of various power systems in dispatching, operation, control and other aspects.

The invention discloses a district power network equipment abnormal alarm signal association analysis and diagnosis method in the field of automation of scheduling of electric power systems. According to the method disclosed by the invention, the weather situation of a plant station region at which abnormal alarm information is located can be automatically identified so as to determine the information processing mode. The method disclosed by the invention has the beneficial effects that by realizing intelligent association analysis and auxiliary decision making of the equipment abnormal alarm information under the real-time state, and performing playback on historical alarm information and performing real-time treatment on manual set information under the research state, the abnormal treatment time is greatly reduced, the incidence of accidents is reduced, a real-time, rich and intelligent auxiliary decision-making support is provided for regulation and control staff, and the safe, high-quality, economical and stable operation of an electric fence is further ensured.

The invention relates to an electromobile charging path planning method based on an intelligent transportation system, belonging to the technical field of operation and control of electric systems. The electromobile charging path planning method comprises the following steps of: firstly, a traffic control center judges whether an electromobile needs to be charged according to information of the electromobile; if necessary, an owner is prompted to charge the electromobile; the traffic control center searches all charging stations in the maximum range of the electromobile as candidate charging stations and calculates the charging probability of the electromobile in each charging station; a charging load is predicated according to the charging probability and is transmitted to an electric system scheduling center, and the electric system scheduling center calculates the allowable maximum charging power of each charging station and transmits the allowable maximum charging power to the traffic control center; and the traffic control center transmits traveling and charging total time sequence obtained according to the maximum charging power to the owner. The electromobile charging path planning method provides an optimal charging path for the owner of the electromobile and improves the traveling efficiency of the owner. In addition, the operation requirements of the electric system are sufficiently considered in the selection of the charging stations, and therefore the safe operation of the electric system is guaranteed.

The invention discloses a cooperative control method for participating in the frequency modulation and pressure regulation of a power system by a wind storage cluster. The method comprises the following steps: using the over-speed control and pitch angle control of a wind turbine generator to preserve a part of active power and reactive power for the wind storage cluster as the frequency modulation and pressure regulation standby power of the power system in accordance with the active power and reactive power capacity standby requirements given by the operation condition of a wind power plant, wind speed and the scheduling of the power system; determining the size of the active power and reactive power given by the wind storage cluster in accordance with the state of the wind storage cluster when the frequency or voltage of the power system is fluctuated; and finally, by reference to the capacity limitation of a wind turbine generator and stored energy, determining the final output condition of the wind turbine generator and the stored energy. According to the cooperative control method provided by the invention, the condition that the wind storage cluster participates in the system frequency and voltage regulation, and the stability and electric energy quality of the power system can be effectively improved by less energy storage capacity allocation in the power system with higher wind power permeability.

The invention relates to a method for analyzing the risk of closed loop operation in a power system, comprising the following steps: (1) acquiring an online power grid model and a data section; (2) setting a closed loop operation point; (3) automatically carrying out topology search of closed loop path in the whole network; (4) calculating the impedance of a closed loop interface; (5) calculating closed loop electric current on line; (6) analyzing and calculating power grid state after a loop is closed; (7) prompting the risk of the closed loop operation: a prompting message indicating whether the closed loop is reasonable or not is provided to the power system for dispatching and to the operating staff for reference based on the result calculated by the closed loop electric current, the closed loop flow and the power grid flow after the loop is closed and the topology search result of the closed loop path. Based on the invention, the closed-loop risk can be accurately analyzed so as to prompt the operating staff to avoid the false operations and ensure the operation safety.

The invention relates to a 3D-coordinated power grid energy management system and a power grid evaluation and control method, which belongs to the field of scheduling automation of power system. The system comprises a power grid model reconstruction sub-system, a power grid safety evaluation and alarm sub-system, an active frequency optimization control sub-system and a passive voltage optimization control sub-system, and a background calculation sub-system and a system foreground. The method comprises following steps: tracking isoline of an external power grid and automatically reconstructing a global power grid model; automatically executing online safety analysis integrated with static power grid, dynamic power grid, voltage stabilization, coordination of relay protection setting values, etc., and online recognizing the safety state of the power grid; alarming for normal unsafe condition, and carrying out prevention control; alarming for emergent conditions, and carrying out correction control calculation; and carrying out realtime active scheduling closed-loop control and passive voltage optimized closed-loop control under normal safety condition. The invention can achieve comprehensive and coordinated closed-loop control for the safety of the power grid, the economy and the electric energy quality.

The invention relates to a low-carbon dispatching method and device for an electric power system based on large-scale wind power grid connection. The low-carbon dispatching method comprises the following steps of: (1) collecting power grid data of a given power grid system in the next dispatching cycle by a dispatching system of the electric power system; (2) capturing active load distribution values of a wind power farm and each generator by a low-carbon dispatching system according to the power grid data collected by the dispatching system of the electric power system; (3) making a new power generation executing plan by the dispatching system of the electric power system according to the active load distribution values of the wind power farm and the generators, which are captured by the low-carbon dispatching system; and (4) sending the new power generation executing plan, which is made by the dispatching center of the electric power system, to the wind power farm and a thermal power plant by a power generation executing system so as to execute the plan. The invention has the following advantages that the economy of power production is considered, and moreover, the protection of ecological environment is paid more attention to at the same time; and requirements for energy-saving and emission reduction are met, and low-carbon power production is promoted.

The invention discloses an aggregation air conditioning load scheduling method based on temperature set value adjustment. The method comprises the following steps: (1) acquiring the temperature set value and outdoor temperature prediction value of each air conditioner aggregation group through a bilateral information channel; (2) adjusting and estimating the load increase / decrease scheme of each air conditioner aggregation group based on the temperature set values; (3) acquiring a load increase / decrease target issued by a superior scheduling department; (4) establishing an aggregation air conditioner scheduling decision model, and solving; (5) issuing an air conditioner control command through the bilateral information channel. By adopting the aggregation air conditioning load scheduling method, load increase / decrease service can be provided for electric power system scheduling on the premise of not influencing the user comfort by using air conditioning equipment of a user, so that the user turns from an electric energy user to a participant of an electric power system and participates in running of the electric power system; meanwhile, by using the method, technical guidance can be provided for the innovation of the scheduling mode of a power grid scheduling department.

The invention discloses a method for updating and using a secret key in a power grid SSL VPN. The method conducts double network combination on a quantum secret key distribution network and a power system dispatching data network, and aims to apply an unconditionally secure quantum secret key to a power grid in a double network combination mode, and the safety of power data transmission is guaranteed. The specific method that the two networks are combined is provided, three modes that the quantum secret key is applied to the power grid SSL VPN are achieved, and specific communication processes in the network after combination are achieved. The method for updating and using the secret key in the power grid SSL VPN has the advantages of being convenient and practical, saving in cost, and meanwhile capable of enhancing the safety of transmitting data.

The present invention relates to the supply-demand side combination random scheduling technology, especially to an optimal scheduling method considering wind power output and demand response nondeterminacy. The method comprises the step 1, based on an extension probabilistic sequence operation theory, establishing a probability model representing excitation load response nondeterminacy and price load response nondeterminacy, considering influence of the demand response nondeterminacy on cost; the step 2, in response to wind power fluctuation and randomness as background, constructing the current optimal scheduling model of an electric power system considering the wind power output and demand response nondeterminacy at the same time based on a risk constraint and risk cost theory; and step 3, converting a random optimization problem as a linear convex optimization problem for solution through conversion of a target function and a constraint condition. The method provided by the invention performs modeling and analysis aiming at demand response nondeterminacy and performs fine description of the nondeterminacy in the demand response process so as to provide practical reference for the scheduling of the electric power system and improve the stability of the electric power system.

The invention provides an identification method of transient state power-angle stable key transmission cross-section corresponding to an expected fault, belonging to the field of electric power systemdispatching automation. Based on a transient state power-angle stable quantitative analysis theory and method, namely extended equal-area criterion (EEAC), the method identifies the key transmissioncross-section corresponding to the expected fault to provide decision support for the electric power system dispatching operation and control. The method comprises the following steps: carrying out atime domain simulation in an expected fault scene based on the operation state, model and parameters of an electric fence; identifying a generator critical group with stable transient state power-angle by EEAC based on simulation track and calculating the participation factor of the generator; calculating the sensitivity to the cross-section components power change caused by the output of each generator in the generator critical group by a power flow sensitivity analysis method; and taking the sum of products of the participation factor in each generator of the generator critical group and corresponding sensitivity of the cross-section component as a judging indicator of the transient state stable key transmission cross-section corresponding to the fault.

A method of power system dispatch control solves power system dispatch problems by integrating a larger variety of generation, load and storage assets, including without limitation, combined heat and power (CHP) units, renewable generation with forecasting, controllable loads, electric, thermal and water energy storage. The method employs a predictive algorithm to dynamically schedule different assets in order to achieve global optimization and maintain the system normal operation.

The invention discloses a generation plan optimizing method in an intermittent energy and conventional energy coordinated dispatching mode, belonging to the technical field of power system dispatching automation. To minimize the generation cost of the system, the coordinated dispatching of an intermittent energy unit and a conventional energy unit is comprehensively considered, and various constraint conditions are taken into consideration to optimize the generation plan of a computing group, thereby ensuring the safe access of intermittent energy such as wind power and the like, and being favorable for improving the intelligence level and decision making ability of the generation dispatching after the access of the intermittent energy. Meanwhile, the method has the characteristics of low computing strength and strong adaptability, and is more suitable for the popularization and application of the dispatching mechanisms with relatively high wind power access power in our country.

The invention discloses a WARD equivalent expansion method based on sensibility in the electric power dispatching automation domain, which comprises the following steps: conveying real-time data from lower level electric network dispatching center to higher level electric network dispatching center; doing total network current calculation; calculating real-time external net equivalent model for each lower level electric network; sending the external net equivalent model to the lower level electric network dispatching center through remote data net; combining the received external net equivalent model of lower level electric network dispatching center self electric network with self interior electric network detail model; doing network analytic calculation of lower level electric network energy management system and artificial training system, wherein the system is periodic starting or automatic starting when the network structure changes. The invention adapts expansion WARD equivalent method of keeping buffer net, which is automatic formation through artificial assignment or sensitivity method.

The invention relates to a robust state estimation method in an electric power system based on exponential type objective function, belonging to the field of electric power system dispatching automation. The method comprises the following steps: building a new state estimation mathematical model of the exponential type objective function according to the electric network model of the actual electric network and real-time measuring data; estimating the busbar voltage and phase angle of the electric network, thus calculating the active power and reactive power of the circuit, a transformer, a generator, loads and other devices. The invention can automatically realize that the impact of measurement with big errors on the objective function tends to zero, while the impact of correct measurement on the objective function tends to one. Therefore, the state estimation algorithm proposed in the invention can process in the absence of bad data identification, thus the invention has convenient realization and high computing efficiency; furthermore, if the system is absent of bad data, the estimated performance in the invention is similar to the classical weighted least squares method.

The invention relates to a laminated and partitioned automatic current control method applicable to a multi-target power grid, and belongs to the technical field of automation of power system dispatching. The method comprises multi-region control, multi-target control and laminated and partitioned coordinated control of section current; a laminated and partitioned power grid current coordinated control system and an adaptive control strategy; a sorting and allocating strategy which is used for adjusting the output of machine sets in real time, comprehensively takes voltage class, power grid region and energy-saving dispatching principle into account, and comprises a sorting and allocating strategy of generator unit clusters of different voltage classes in different power grid regions and a sorting and allocating strategy of generator units of same voltage class in the same power grid region; and partitioned independent super-short-term load forecasting control carried out in each control region of the power grid. The laminated and partitioned automatic current control method disclosed by the invention can be flexibly applicable to various power grid operating modes, and ensures that the power grid runs stably in an important power supply section circuit overhauling mode; and a hydro-power generating unit and a thermal power generating unit are controlled to generate power more consistently, and the method provides a powerful technical support for energy-saving power dispatching.

The invention, which relates to the scheduling, operating, and planning field of the power system, discloses a short-term load prediction based on meteorological similar day and error correction. According to the invention, a meteorological factor regression analysis is carried out by using SPSS software; meteorological factors affecting a load most obviously in all seasons are selected; and weights of all factors are determined and are used as a basis for selecting a meteorological similar day. A historical prediction error data sample set is established; for a certain prediction day, an error data sample establishment set of a similar day is extracted, and a probability density distributed fitting model is established. An error fluctuation situation of a prediction point is analyzed to obtain a compensation value of a predicted error; and an error sample value closest to the error compensation value is selected as an error fitting value of this time and is superposed on the prediction value. Therefore, the prediction precision is improved.

The invention relates to an online evaluation approach to evaluate the maximum power supply capacity of urban power network, belonging to the technical field of advanced application of electric power system dispatching. The method employs data base connection modes(ADO and ODBC), reads the relative network topology and network nodes in EMS and analyses the topology of the urban power network by means of an adjacency matrix to build up a model for calculating the maximum power supply capacity of the urban power network; the model is a linear programming model based on DC power flow and takes the maximum load of the network as the target function, and power balance, rated capacities of the branch lines and power restriction of the nodes as the constraint condition. In the program, the linear programming is worked out through improved simplex method and error analysis is carried out to the result. The model has the advantages of big calculation speed and small calculation error as for light load network and is suitable for power networks that require repeated optimization and adjustment. Results from a great amount of calculation with the program show that the method is of efficacy and applicability.

The invention discloses a power-system economic dispatching method considering power grid topology optimization. A power-system dispatching model using active power of conventional generator sets and output component states of the power grid as decision making factors is provided by incorporating the power grid topology optimization into a power-system economic dispatching model and considering the power grid topology connectivity conditions. Topological connectivity is constrained based on the minimum cutset concept in graph theory so as to judge system topological connectivity. The provided model is solved by combination of genetic algorithm and linear programming primal-dual path following interior algorithm. Conventional generator sets and power grid topology can be preset, economical efficiency of power grid operation is improved on the premise of guaranteeing safety of power grid operation, balance capacity of load power of system generation is improved, renewable energy power generation can be accepted within a larger range, abandonment of renewable energy power generation or load shedding is effectively alleviated, and technical support is provided for intelligent development for power system dispatching.

The invention discloses a method for optimizing the new energy capacity ratio in layers in a power grid. The method comprises the steps that iteration calculation is conducted on the inner layer and the outer layer, a calculation model is that time series modeling is conducted on output force of the inner layer on the basis that the characteristics of new energy of a region are considered, the optimal energy-saving emission reduction benefit of the power grid serves as a goal, the factors such as the load characteristic, the unit peak shaving characteristic and the thermoelectricity coupling characteristics of heat supply units of different types are comprehensively considered, and therefore an annual time series production analog simulation model related to new energy power generation is established; the outer layer is provided with a capacity ratio optimizing model, the energy-saving emission reduction benefit of the model of the inner layer serves as a fitness function, so that the individual optimizing direction is updated, the new energy power generation ratio capacity is determined, the blindness of random generation of new energy installed capacity is reduced, and the optimizing efficiency and the accuracy are improved. The method for optimizing the new energy capacity ratio in layers in the power grid can be applied to new energy capacity optimization of the province-level power grid and has important guiding significance in grid source planning and practical power system dispatch of the province (region) power grid with the requirements for new energy installed capacity planning and low carbon electric power.

The invention relates to an automatic generating method for a day-ahead plan power flow in a power grid and belongs to the technical field of electric power system scheduling automatization. According to the invention, problems generated by the day-ahead plan power flow are resolved into active subproblems and reactive subproblems which are solved step by step; the subproblems are converted into constraint non-linear optimization problems which are solved by an interior point algorithm; the active subproblems are adopted to preliminarily eliminate mismatching quantity between a system electric generating set power generation plan and bus load projection data and coordinate the inconsistency between the electric generating set power generation plan and a communication section power transmission plan; and the reactive subproblems and active readjustment procedures are adopted to further eliminate the mismatching quantity between a system generating power and a load power, and an active power transmitted by the communication section is controlled according to the plan, and as a result, a reasonable and majorizing day-ahead reactive voltage plan is obtained. According to the invention, a credible day-ahead plan AC power flow can be effectively provided for a day-ahead plan safe checking module. Therefore, the method has favorable reliability and practicability.

The invention relates to an evaluation model for evaluating the operation risk of the electrical network on the basis of a Bayesian network modeling method, and belongs to the technical field of scheduling automation of the power system. The method comprises that (1) a Bayesian formula based network model is established; and (2) the risk early-warning evaluation index and model are calculated. The evaluation model has the advantages that the electrical network risk early-warning evaluation model is based on the Bayesian network, the Bayesian network model has unique bidirectional inference technology, the operation risk of the electrical network is evaluated, influence of components on the operation risk of the electric network can be analyzed, weak links of the system are obtained, requirements for risk early-warning evaluation and analysis in practical electrical network service are met, and basis is provided for improvement of the system.

The present invention discloses a resource-load coordination operation and scheduling method taking regard of multi-time scale multi-type demand response. The method comprises: determining a PDR electricity price and a corresponding load capacity and the size of an A-class IDR according to a day-ahead scheduling plan model; determining a unit combination of a rapid start and stop unit and the sizeof a B-type IDR according to an intraday scheduling plan model, the PDR electricity price, the load capacity corresponding to the PDR electricity price and the size of the A-class IDR; and determining output of the rapid start and stop unit, a renewable energy source capacity, a power exchange capacity and the size of a C-class IDR according to a real-time scheduling plan model, the PDR electricity price, the load capacity corresponding to the PDR electricity price, the size of the A-class IDR, the unit combination of the rapid start and stop unit and the size of the B-type IDR. he resource-load coordination operation and scheduling method taking regard of multi-time scale multi-type demand response can effectively allow different types of demand response resources to positively participate electric power supply scheduling through consideration of three levels and aiming at the multi-time scale multi-type demand response resources to realize fine scheduling.

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 belongs to the technical field of electric power system dispatching automation and relates to a water, fire and light combined optimization power generation scheduling optimization method considering security constraints. According to the water, fire and light combined optimization power generation scheduling optimization method, the objective of the method is to realize minimum power generation cost of a system; comprehensive considerations are given to coordinated scheduling of hydroelectric, thermal power and photovoltaic power generator sets; all kinds of constraint conditions are considered, such that optimal computation is performed power generation scheduling of the generator sets; safe access of new energy such as photovoltaic power generation power can be ensured; the improvement of intelligent level and decision making ability of power generation scheduling after the access of the new energy can be facilitated; and through interactive iteration solution of two sub-problems of optimization calculation and safety correction, the power generation scheduling of the hydroelectric, thermal power and photovoltaic power generator sets, which satisfy a requirement for network safety, can be obtained, and therefore, the performability of the power generation scheduling can be ensured. The water, fire and light combined optimization power generation scheduling optimization method considering security constraints of the invention is advantageous in low calculation strength and strong adaptability, and is more suitable for being popularized and applied to scheduling mechanisms of which photovoltaic power generation power access power is larger in China.

The invention discloses a new-energy connected-grid power control method based on prediction and adjustment performance and safety constraint and belongs to the technical field of electric-power system scheduling operation and control. According to control performance-price-ratio indexes of power-gird safety stability margin changes by new-energy-power-station connected-grid power control at a current moment, the new-energy connected-grid power control method divides new-energy power stations into a plurality of power-station groups which are approximate in control performance-price-ratio index so that a problem that grouping of the new-energy power stations according to the difference of connection power transmission channels can not reflect truly current transient and dynamic safety stability characteristics of a power grid is solved. The new-energy connected-grid power control method based on the prediction and adjustment performance and the safety constraint is capable of improving instantaneity, reliability and precision of new-energy power-station connected-grid active-power limitation and instantaneity, reliability and precision of new-energy power-station connected-grid active-power improvement and activeness of new-energy power-station connected-grid active-power prediction and control technology equipped level improvement.

The present invention discloses a wide-area distributed energy-storage system coordinated dispatching method by considering peak regulation and pressure regulation demands. The method comprises the steps of: obtaining power grid parameters and distributed energy storage parameters; taking the minimum of the sum of the routine thermal power generating unit operation cost and the node voltage deviation punishment cost as a target function; taking a wind turbine generator constraint, a system constraint and a battery energy storage system constraint as constraint conditions, and establishing a wide-area distributed energy-storage system coordinated dispatching model by considering the peak regulation and pressure regulation demands; in order to facilitate rapid and accurate solution of the model, employing a linearization tool as such as a big M method to perform voltage drop constraint, and performing linear processing of nonlinear form such as a voltage deviation penalty term in the target function; and finally, transferring a solution tool to solve the established model at a simulation calculation platform to obtain an electric power system dispatching scheme comprising distributedenergy storage.

The invention discloses a method for comprehensively optimizing energy storing power station planning and operating. The method comprises the first step of constructing a real-part matrix G and a virtual matrix B of a node admittance matrix used for carrying out load flow calculation according to network parameters of an electric power system and determining the upper limit value and the lower limit value of voltage of all nodes and the upper limit value and the lower limit value of all line power flow when the electric power system operates safely and stably, the second step of determining the upper limit value and the lower limit value of work output of a common electric generator, determining generating cost parameters of the common electric generator, determining the upper limit value and the lower limit value of the work output of a wind turbine generator or a wind power motor field and determining the penalty electricity price for draught fan fault according to the power source parameters of the electric power system, the third step of determining the capacity price, the power price and the average service life of an energy storage system and daily maintenance charge according to parameters of the energy storage system, the fourth step of determining the typical day wind power predicted data of the wind turbine generator or the wind power motor field, determining the day load data, determining the backup data of rotating of the electric power system and determining the transmission loss price of the electric power system according to scheduling operating data of the electric power system, and the last step of determining an inner layer optimization model and an outer layer optimization model according to the data collected in the first step, the second step, the third step and the fourth step.

The invention relates to an automatic power distribution network single line diagram drawing method based on an improved gravitation repulsion model and belongs to the technical field of electric power system dispatching automation. According to the method, firstly, all devices and connection relations which belong to one feeder line are read from a power grid public information model; all the read devices are abstracted into nodes, the connection relations between the devices are abstracted into lines, and a foundation network structure chart is completed; then, the device nodes are replaced with 8-node rectangular frames, and layout adjustment is performed on the structure chart by using the improved gravitation repulsion model; a final layout is generated through orthogonalization, intersection removal and connecting line contraction; finally, information including node positions, device types, device names and electrical attributes of the devices in the final layout are output to a single line diagram file, device diagrams replace the 8-node rectangular frames, and drawing of a power distribution network single line diagram is completed. The single line diagram drawn with the method has attractive and compact layout and lines do not intersect and overlap.