34results about How to "Reduce planning costs" patented technology

The invention discloses an aircraft penetration trajectory planning method based on an RRT* algorithm and belongs to the field of aircraft trajectory planning. The implementation method disclosed in the present invention comprises the following steps: based on RCS data of an aircraft under different attitudes in a circumferential direction, a radar detection probability model is established to determine the probability that the aircraft is detected by radar during penetration processes; an aircraft penetration trajectory planning model is established based on a Dubins path; based on the RRT* algorithm and the aircraft penetration trajectory planning model, penetration trajectory planning is conducted, that is, the penetration trajectory planning is conducted based on combination of asymptotic optimality of the RRT* algorithm and a feature of a shortest Dubins path, the cost of aircraft penetration trajectory planning can be effectively reduced, an aircraft penetration trajectory can beobtained, and effective penetration of the aircraft can be achieved. Since no numerical integration method is needed for the Dubins path to solve a dynamic model, a principle to solve based on a geometric method, and therefore efficiency of the trajectory planning can be improved. The aircraft penetration trajectory planning method disclosed in the invention can be applied to stealth penetrationtrajectory planning of the aircraft, and is especially suitable for the stealth penetration trajectory planning of an airplane.

The present invention provides a parameter configuration method and an operation administration and maintenance server. The parameter configuration method includes: performing the area detection to a network access point, locating the area which the network access point belongs to; configuring the area configuration parameter for the network access point according to the area which the network access point belongs to; assigning the physical cell identifier (PCI) for the network access point. The present invention implements automatic configuration to the parameter of the network access point based on the area detection and automatic assignment to the PCI of the network access point, thus improving the rationality and veracity of the PCI assignment and reducing the assignment cost and the time for establishing the base station.

The invention relates to a method for establishing an active power distribution network planning model considering site selection and constant volume of an electric vehicle charging station. The method comprises: converting the traffic flow of the electric vehicle into a mobile charging demand in a traffic network on the basis of the site selection and constant volume of an electric vehicle charging station, and establishing an electric vehicle traffic network model based on an M/M/s queuing model and a closure site selection model in the traffic field; establishing a distributed power supply(including wind power and photovoltaic) and load model by adopting a time sequence method, and simulating the output or requirements of the distributed power supply and the load in different time sequence scenes; establishing an energy storage element model in the power distribution network based on an equivalent load thought; establishing an embedded layer planning model by taking the economy andreliability of a power distribution network and the maximum traffic flow intercepted by an electric vehicle charging station as targets. On the premise of optimizing system operation as much as possible in an inner layer, the construction cost input of an active power distribution network is fully improved in an outer layer, the overall economy of power distribution network planning is improved,and the voltage distribution of the power distribution network is improved.

The invention discloses a traffic network and electric automobile charging station coordination planning method and belongs to the traffic planning and electric automobile charging scheduling technology field. The method comprises steps that a coordination planning model taking highest traffic network reliability, highest user satisfaction and lowest electric automobile charging station investment construction cost as targets is established, firstly, an electric automobile charging station planning scheme preferably satisfying the highest user satisfaction and the lowest electric automobile charging station investment construction cost is determined under the maximum electric automobile latency constraint, secondly, a planning scheme of the traffic network is determined under the lowest total road reconstruction and electric automobile charging station investment construction cost constraint, lastly, a combined scheme capable of satisfying the highest user satisfaction, the lowest electric automobile charging station investment construction cost and the lowest road reconstruction lost can be acquired. The method is advantaged in that influence of the traffic network on electric automobile user charging selection is reduced, and dual-network planning cost is reduced.

The invention relates to a microgrid planning method considering load voltage characteristics and new energy strong uncertainty. The method comprises the steps of 1, establishing a new energy model; 2, establishing a power function load static characteristic model corresponding to each type of load; 3, establishing a microgrid planning comprehensive mathematical model considering load characteristics and new energy; 4, performing optimization solution by using an adaptive genetic algorithm; and finally, performing example simulation verification. Compared with a traditional microgrid planningmethod, the invention has the advantages that the load voltage characteristics and the strong uncertainty of new energy are considered at the same time, and microgrid characteristics and actual conditions are better met; requirements for reactive power output of new energy are provided, so that voltage fluctuation of the microgrid is smaller, and safe and stable operation of a microgrid system isguaranteed. According to the microgrid planning method with the minimum network loss and voltage fluctuation as the target, the planning cost of new energy can be reduced, the network loss of the microgrid can be reduced, and more economical operation of a microgrid system can be ensured.

The invention discloses an active power distribution network planning model construction method considering a data center. The method comprises the following steps: acquiring basic parameters; establishing an active power distribution network planning model considering the data center by using a two-stage stochastic optimization method; substituting the basic parameters into the model, and solving the model by adopting an improved group search optimization algorithm with the goal of minimizing the investment operation cost of the active power distribution network and improving the utilization rate of renewable energy sources and reducing the carbon emission, and outputting schemes of the selected model of the transformation line, the installation position of the intelligent electric meter, the installation position of the wind turbine generator, the number of started servers in each time period of the data center, the time dimension task migration quantity in the data center, the electricity purchase quantity of the distribution network, the actual output of the wind turbine generator, the energy storage charging power and the energy storage discharging power. According to the method, the time dimension transferable load of the data center and the flexible charging and discharging performance of the equipped energy storage equipment are considered, the planning cost of the active power distribution network can be effectively reduced, distributed energy consumption is promoted, and carbon emission is reduced.

A method for planning a hybrid power distribution network with renewable energy generation is provided, which includes an AC-DC hybrid power distribution network. The AC-DC hybrid power distribution network includes a DC part and an AC part. Both the AC part and the DC part can be connected to a renewable energy power generation device and a user load. The DC part and the AC part are connected through power electronic converter equipment. The AC part is also connected to an external power grid. The purpose of the invention is to provide a method for planning an AC-DC hybrid power distributionnetwork with renewable energy generation that can well take into account the operation cost of the renewable energy generation and the supply benefits of the hybrid power distribution network, takes into account the randomness of the renewable energy power generation output power, and takes into account the needs of the power distribution network to participate in external power market transactions.

The invention relates to a method specially used for drawing a datum plane of combined H-steel. The method includes the steps that first, a drawing device specially used for leading out datum lines of a middle flange plate is assembled; second, a drawing device specially used for leading out datum lines of side flange plates is assembled; third, datum lines of webs on the two sides of the middle flange plate of a combined H-steel component are drawn; fourth, the datum lines of the middle flange plate of the combined H-steel component are drawn; fifth, the datum lines of the upper half portions of the side flange plates are led out and drawn; sixth, the datum lines of the lower half portions of the side flange plates are led out and drawn; seventh, the datum lines of the lower portion of the middle flange plate of the combined H-steel component are drawn. The method specially used for drawing the datum plane of the combined H-steel is easy to machine and efficient in drawing, the drawing precision is improved, the drawing cost is reduced, and the assembly and installation quality of the component is effectively guaranteed.

The invention discloses an optical access network ODN intelligent clustering planning method for sparse user distribution, and belongs to the technical field of communication. The method specifically comprises the following steps of: firstly, for a certain planning area, randomly generating position coordinates of k initial centroids as second-level light splitting points on a wiring segment of an ODN by taking the geographic position of a user in the area as input; then, constructing a cost function T, and optimizing the number k of the initial centroids and position coordinates; thirdly, determining the position coordinates of first-level light splitting points and optimizing the position coordinates; according to the optimized positions of the second-level light splitting points and the first-level light splitting points, calculating the reserved length of an optical fiber, and completing the planning of the wiring segment; for feeder line segment planning of the ODN , determining a weight connectivity graph through a connectivity relationship between field areas, and searching for a minimum spanning tree by adopting a minimum spanning tree algorithm; finally, completing optical access network ODN planning of sparse users according to planning results of the wiring segment and the feeder line segment. According to the method, the top and the bottom are combined, and the optical fiber planning cost is reduced while optimal planning is realized.

The invention provides a power flow optimization method for a cold-heat-electricity integrated energy system. The power flow optimization method comprises the following steps: A, constructing a planning construction cost minimum objective function for the cold-heat-electricity integrated energy system; b, establishing an electric power system constraint model, a heat supply system constraint model, an energy station constraint model and a cold force load power constraint model as constraint conditions of the minimum objective function of the planning and construction cost; and C, solving the objective function with the minimum planning and construction cost according to the constraint conditions in the step B. According to the power flow optimization method for the cold-heat-electricity integrated energy system, load power balance of cold, heat and electricity and stable operation of the system can be met, it can be guaranteed that the overall planning cost of the system is minimum, and a basis is provided for achieving optimized operation of the system and the maximum economic benefit.

The invention discloses a gridding power distribution network frame planning method based on an improved Minty algorithm, relates to the technical field of power distribution network planning, and aims to generate all possible radial network structures in a grid through the improved Minty algorithm and obtain an optimal intra-grid network frame planning scheme after a tie line is determined. Therefore, power distribution network planning cost is effectively reduced, and economic benefits of power distribution network companies are improved. According to the method, a large number of sub-graphprocessing without the optimal planning scheme is effectively avoided by determining the edge which is certainly the branch, the calculation efficiency of grid structure planning in the grid based onthe Minty algorithm is improved, a plurality of planning schemes with low cost can be provided for planners to select, and the method is suitable for large-scale popularization and application in theindustry.

The invention discloses a parallel path planning method and system based on a double-layer index. The method comprises the following steps: firstly, constructing a double-layer index structure, wherein the double-layer index structure comprises a skeleton graph and a plurality of sub-graphs; secondly, according to a starting point and an ending point input by a user, calculating a reference route by utilizing the double-layer index structure; and finally, carrying out local route optimization on all the sub-graphs passed by the reference route. According to the method, the planned route is adjusted in time based on a double-layer index structure, the whole adjustment is implemented in a segmented manner in a local route optimization manner, the route planning cost is reduced, and the response speed is also improved.

The invention discloses a simulation system and method for a laser cutting production line. The system comprises a user interaction module and a simulation module. The user interaction module is used for sending production line configuration information and production order information input by a user to the simulation module and outputting simulation result information to the user after simulation is finished; the simulation module is used for generating a corresponding production line simulation model according to the production line configuration information, simulating the laser cutting machining process through the production line simulation model according to the production order information, and sending a simulation result to the user interaction module after simulation is finished; wherein the production line configuration information comprises the model and the planned position of each device in the production line; the production order information comprises plate processing time and marking time. The method is suitable for laser cutting production line planning, production line planning and verification cost can be reduced, and production line design efficiency is improved.

The invention discloses a method for determining a flood drainage pipeline of a smart city. The method comprises the following steps of obtaining a historical flood drainage parameter of a current first flood drainage pipeline of the smart city, and building a second flood drainage pipeline on a three-dimensional model which is a space model corresponding to the city, determining predicted flood drainage parameters of the second flood drainage pipeline according to the historical flood drainage parameters, and determining whether the second flood drainage pipeline is reasonably planned or notaccording to the predicted flood drainage parameters. The invention further discloses a device for determining the flood drainage pipeline of the smart city and a readable storage medium. Whether thesimulated flood drainage pipeline is planned reasonably or not is judged according to the currently constructed historical flood drainage parameters in the city, that is, whether the flood drainage pipeline is planned reasonably or not can be determined without constructing the planned flood drainage pipeline firstly, and the planning cost of the flood drainage pipeline is greatly reduced.

The invention provides a gas-electricity integrated pipe network collaborative planning method and device, electronic equipment and a storage medium. The method comprises the following steps that: onthe condition that the safe operation constraint of a power network, the safe operation constraint of a biogas network and the constraint of a biomass raw material transportation network are guaranteed, a multi-stage joint planning model with the minimum investment cost and the minimum operation cost as target functions is established, and in addition, the multi-stage joint planning model furthercomprises large-scale biogas engineering construction constraints, total gas production constraints, real-time gas production constraints and equipment investment constraints; and a collaborative planning scheme of the gas-electric integrated pipe network considering the regional biomass supply capacity is determined according to the multi-stage joint planning model. By reasonably selecting the site of the large-scale biogas engineering, the raw material transportation cost is reduced, the planning cost is reduced, the regional supply and demand balance is guaranteed, and the stable operationof the large-scale biogas engineering is promoted.

The invention relates to a passenger flow time sequence clustering optimization flight regulation and control method and system, and the method comprises the steps: S1, carrying out the grouping statistics according to flight historical orders, and obtaining flight data; S2, performing normalization processing on the flight data to obtain normalized flight data; S3, calculating KL divergences of the normalized flight data in pairs according to dates, and distributing the normalized flight data to a preset interval according to the KL divergences; and S4, clustering the normalized flight information of each interval to obtain the category of each piece of normalized flight information, and taking the category as reference information for optimizing flight regulation and control. According to the method provided by the invention, similar conditions of the aviation historical orders can be effectively mined, the similar conditions are provided for flight planning personnel as reference for optimizing flight regulation and control, the planning cost is saved, and the efficiency is improved.

The invention discloses a multi-objective optimization electric vehicle charging station planning method. Multiple objectives of the method mainly comprise population density, electric vehicle ownership, traffic conditions and power distribution capacity of a region. The method comprises the following steps: 1) determining the number of charging stations and charging piles which need to be planned; 2) dividing a demand domain for the region, wherein the demand domain is divided according to the vehicle density; 3) establishing a multi-objective function according to the population density, theelectric vehicle ownership, the traffic condition and the power distribution capacity of the region; 4) solving a demand margin value of each demand domain by utilizing a big data analysis method, and sorting the demand margin values of each demand domain from large to small; and 5) selecting several demand domains with the maximum demand domain degree values as charging station planning areas according to the number of the planned charging stations, and determining the number of the charging piles according to the demand domain degree value proportion of the selected demand domains. The charging station planning is simple and convenient, and the optimal scheme of the charging station planning layout can be quickly obtained.