47results about How to "Solve the problem of site selection" patented technology

The invention discloses an addressing and capacity configuration method used for a UPFC. A UPFC addressing and capacity configuration model with transient stability constraints is established, a difference evolution algorithm serves as a framework, and the installation position and the capacity of the UPFC are optimized; in addition, a centrality correction interior point method is adopted for carrying out optimization and fitness assessment on continuous variables of each difference evolution unit. The difference evolution algorithm is simple in operation, high in searching capability, fewer in adjusting parameters and suitable for mixed optimization, and the interior point method is good in convergence and strong in robustness, so that the provided mixed algorithm can well solve the problems of UPFC addressing and capacity configuration, the method is highly efficient and convenient, and the application prospect is good.

Embodiments of the invention disclose an express point address selection method and apparatus, and relate to the technical field of intelligent logistics. An address selection result of an express point can be automatically calculated, so that the problem of restriction by working experience of personnel is relieved. The method comprises the steps of performing analysis through an electronic map according to extracted order data, thereby obtaining coordinate points; clustering the order data according to the coordinate points, and determining order quantity information corresponding to the coordinate points; reading logistics data, and by utilizing the logistics data and the order quantity information, extracting the express point from the obtained coordinate points, wherein the logisticsdata at least comprises preset distribution radius information of the express points and distribution distance information corresponding to the coordinate points; and outputting the extracted expresspoint as the address selection result. The express point address selection method and apparatus is suitable for intelligent express point address selection.

The invention provides a chance constraint planning based optimal configuration method of a distributed energy source. The method comprises the following steps of building a comprehensive optimal configuration model of the distributed energy source; determining a chance constraint condition of the comprehensive optimal configuration model of the disturbed energy source; determining an energy storage system configuration principle of the comprehensive optimal configuration module of the distributed energy source; and figuring out the comprehensive optimal configuration model of the distributed energy source. With the method proposed by the invention, the acceptable capability of a power distribution net on the distrusted energy source is effectively improved, the energy efficiency target and the low carbon target of a planning scheme can be met, economic requirement also can be met, the problems of site selection and constant volume of the distributed energy sources in places with different resource levels and economic development degrees can be solved, the application of the distributed energy source at a large scale is ensured, and the environmental pollution and energy crisis caused by fossil energy can be effectively relieved.

The present invention discloses an optical fiber remote centralized timing system and method based on BD and GPS. The system comprises at least one satellite antenna, an active timing host and at least one active timing distribution unit. The satellite antenna is connected with the active timing host. The optical fiber remote centralized timing system based on BD and GPS is composed of a BD/GPS antenna, 1+1 primary and secondary units and the distribution unit, so as to improve accuracy and safety of base station timing. A photoelectric hybrid cable is adopted for transmission, which can transmit at least one kilometer. An optical fiber can be stretched to 20 kilometers if a manner of taking nearest electricity is adopted, thereby fundamentally solving the problem of affecting a base station location due to the limited transmission distance.

The present invention discloses a distributed power supply access power distribution network planning method. The method comprises: establishing the power distribution network extension planning model of a distributed power supply, wherein the power distribution network extension planning model is a mathematic model for the line operation cost, the distributed power supply construction cost and the purchasing electricity cost reduced through the reduction of the access of the distributed power supply, employing a genetic algorithm for solution, employing the adaptive genetic algorithm for planning of the distributed power supply, employing the genetic algorithm for extension planning of the network aiming at the individual of distributed power supply capacity and position generated by each generation in the genetic algorithm, adding the influence of the distributed power supply, and repairing non-feasible solution generated by the intersection and mutation operation in the genetic algorithm, and performing economic evaluation of the integrated planning result of the distributed power supply and the network. According to the actual condition of the distribution network structure and the capacity and the distribution position of the distributed power supply, and the problems of the planning of the distribution network, the site selection and the constant volume of the transformer station and the site selection of the distributed power supply are solved through adoption of the appropriate algorithm.

The invention discloses an electric facility charging station site selection optimization method, a device and a storage medium and belongs to the field of electric facility charging station planningoptimization, and the method comprises the following steps: establishing an electric facility charging station site selection optimization model based on a plurality of constraint conditions which atleast comprise a cost constraint condition, a charging station capacity constraint condition and a coverage constraint condition; And solving the electric facility charging station site selection optimization model by adopting a genetic algorithm. According to the embodiment of the invention, the problem of site selection of the electric facility charging station can be solved, meanwhile, the minimum cost is ensured, and the coverage area is extended to the whole area to meet the requirements and convenience of drivers.

The invention discloses a multiport unified power quality conditioner (UPQC) applied to an active power distribution network and a method. A dynamic voltage restorer is arranged at a bus connection line for connecting adjacent buses; in multiple lines connected with the buses, the head end of each line is serially connected with a corresponding dynamic voltage restorer; each dynamic voltage restorer is in parallel connection with a DC link capacitor; one bus is connected with an active power filter, and the active power filter is connected with the dynamic voltage restorer for providing active power support for each dynamic voltage restorer; the dynamic voltage restorers at the lines comprehensively restore fall or temporary rise of voltage at each node; when transformers operate in a banked mode, output of the transformers is balanced via the dynamic voltage restorers at the bus connection lines; and the multiport unified power quality conditioner can be directly arranged inside a substation. The UPQC can effectively realize control on voltage deviation of each node of the line, power balancing when the transformers operate in a banked mode can be realized, and effective banked operation can be ensured.

The invention discloses a battery exchange station site selection and electric vehicle path planning method. The method includes: Firstly, generating an initial path plan and a battery exchange station site selection plan corresponding to the initial path plan; According to a preset probability, adopting a BPSO algorithm or a local search algorithm to solve an optimal battery exchange station siteselection plan; Solving an optimal path plan by adopting a variable domain search algorithm VMS; Judging whether a termination condition is met or not, when the termination condition is met, outputting an optimal battery exchange station site selection plan and a corresponding path plan, and if not, returning to continue iteration. According to the method, the Pareto optimality concept is appliedto the electric vehicle path model to improve the sequence selection efficiency of the battery exchange station, the global search capability is high, and local optimization can be avoided. And the method has good stability and convergence under two extended remedial measures, also has robustness under different remedial measures, and has good performance.

The invention belongs to the technical field of base station antennas, and especially relates to a miniaturized multi-system multi-band fusion base station antenna. The antenna comprises a bottom plate, and a reflecting plate I and a reflecting plate II are respectively arranged on two long edges of the bottom plate; a reflecting plate III is arranged on one short edge of the bottom plate; the bottom plate is provided with a first high-frequency radiation antenna array, a third high-frequency radiation antenna array, a first low-frequency radiation antenna array, a fifth high-frequency radiation antenna array, a sixth high-frequency radiation antenna array, a second low-frequency radiation antenna array, a fourth high-frequency radiation antenna array and a second high-frequency radiationantenna array which are sequentially arranged in the direction from the first reflecting plate to the second reflecting plate. Each array comprises a plurality of high-frequency oscillators I, high-frequency oscillators II, high-frequency oscillators III, high-frequency oscillators IV, high-frequency oscillators V, high-frequency oscillators VI, low-frequency oscillators I and low-frequency oscillators II which are arrayed into a straight line; and first long isolation strips are arranged between the first high-frequency radiation antenna array and the third high-frequency radiation antenna array and between the fourth high-frequency radiation antenna array and the second high-frequency radiation antenna array.

The invention discloses a building supply chain management method and device based on 4D BIM and RFID. The method comprises: acquiring to-be-tested construction project information at a construction site and supplier information for providing building materials for a to-be-tested construction project from a preset 4D BIM system; Obtaining the delivery distance between the supplier and the construction site from a preset RFID system, the delivery distance being used for calculating the delivery cost of each supplier; constructing a first supply chain cost model of a construction project to be tested by considering the delivery cost of building materials, the ordering cost of the building materials, the price cost of the building materials and the on-site inventory cost of the building materials; And calculating the optimal supply chain cost of the first supply chain cost model, and selecting a supplier conforming to the construction project to be tested and a corresponding supply quantity. The method provided by the invention can effectively solve the problems of reasonable selection of suppliers and orders thereof in the CSCM and reasonable construction of the collection and distribution center, and has high practicability.

The invention provides a site selection method and system for a temporary distribution center, and relates to the technical field of logistics. According to the invention, the site selection of the temporary distribution center is combined with the path optimization problem, the site selection problem of the temporary distribution center is solved, the distribution path optimization problem is also solved, and the site selection cost of the temporary distribution center is the lowest and the distribution path is the shortest. The optimization of the distribution path (namely the transportationcost) is considered when the site selection of the temporary distribution center is carried out, and the selection of the temporary distribution center is continuously improved and optimized according to the direction of cost reduction, so that the reasonable site selection and path planning of the distribution center are obtained, and the cost is minimum.

The invention relates to the technical field of underground nuclear power plants, and discloses an underground nuclear power plant with a low-medium radioactive waste disposal system, which comprisesa power generation area and a waste disposal area, wherein the power generation area comprises a plurality of single-pile nuclear power systems, and each single-pile nuclear power system comprises a plurality of power plants, the waste disposal area comprises an SRTF site radioactive waste treatment facility which is connected with a power generation area traffic tunnel through a waste transfer tunnel, the bottom of the SRTF site radioactive waste treatment facility is provided with a discharge water tank communicated with a site waste water discharge system of the power generation area, the SRTF site waste discharge treatment facility is also connected with a low radioactive waste treatment tunnel, a medium radioactive waste disposal tunnel and a spent fuel dry storage area. The inventionfurther discloses a disposal method of the underground nuclear power station with the low-medium radioactive waste disposal system. According to the underground nuclear power station with the low-medium-radioactive waste disposal system and the disposal method thereof, the problem of site selection of the low-medium-radioactive disposal site is solved, meanwhile, the centralization of the waste disposal function is achieved, the excavation of a cave is reduced, and the problem of nuclear security in the process of outward transportation of radioactive waste is avoided.

The invention discloses a multi-scene multi-commodity chain convenience store site selection optimization method in a competitive environment, and the method comprises the following steps: determiningthe constraint of a chain convenience store site selection problem for the consideration of the travel cost of enterprise commodity distribution and vehicle dispatching; describing a store site selection process of the consumer by using a random utility theory, and determining influence factors and specific parameters influencing decision making of the consumer; establishing a multi-commodity chain convenience store site selection model under the constraint of the store number, and maximizing the store area popularity of a convenience store enterprise; considering the influence of the consumer characteristic difference on the convenience store site selection strategy, and establishing a multi-commodity chain convenience store site selection model based on user portrait subdivision in twotypical scenes; designing a linearization conversion method of a target function, and converting the nonlinear site selection model into a mixed integer programming model; searching basic parameters of a to-be-selected site, a competitive storefront position, consumer demands and other site selection problems; and performing calculating to obtain the optimal site selection point and the corresponding store area popularity in various scenes.

The invention discloses a method for predicting the business scale of a business hall by using big data, which is characterized in that the method counts the number of users who change their business habits within each distance step after each new business hall is completed in history. The proportion of the total number of users within the step length. Based on these changes, it is predicted that when the new business hall is completed in the future, the proportion of the number of users who change their business habits within each distance step is predicted. Based on the total probability formula, the proportion of the number of people who will go to the new business hall is calculated. The number of people handling business in the business hall. After adopting the method of the invention, the business scale of the new business hall can be effectively estimated, thereby reasonably providing a basis for determining the investment in construction and operation of the new business hall. The invention solves the problem of site selection for a new business hall, and the problem that when the site is selected for a new business hall, there is no reference basis for the business scale, and mistakes in input lead to the problem that the business hall is too large to cause waste or too small to meet the needs of residents in the area.

The invention discloses a garbage land deployment modeling method based on urban population movement. The method comprises the following steps of: firstly, collecting and preprocessing population of community points and related data of garbage yield to obtain an original data set; then establishing a grey prediction model and introducing a multiple linear regression model to predict the garbage yield; and finally, according to the prediction result of the garbage yield, combining the garbage yield over the years in the original data set, carrying out capacity threshold evaluation on the garbage stations governing the community point, thus achieving effective utilization of the garbage stations and balanced capacity load. According to the method, the grey prediction model and the multiple regression model are combined, the prediction effect is improved, meanwhile, the prediction result and historical data are integrated to obtain capacity threshold evaluation, effective utilization of urban garbage station construction resources and capacity load balancing can be achieved, the garbage station site selection problem is well solved, and the environment influence caused by garbage treatment is avoided while the living requirements of residents in surrounding communities are met as much as possible.

The invention discloses an electric power system edge cloud data center site selection method and device, equipment and a medium. The method comprises the steps of acquiring electric power system siteinformation; modeling the power system station to obtain a station model; constructing a site selection optimization variable according to the site model; constructing a site selection cost objectivefunction according to the site model parameters and the site selection optimization variables; constructing a site selection constraint condition according to the site model parameters and the site selection optimization variable; linearizing the site selection cost objective function and the site selection constraint condition, and converting a site selection problem into a linearized problem; and solving the linearization problem to obtain the number of the edge cloud data centers, the site selection positions of the edge cloud data centers and a communication connection construction schemeso as to form a power system edge cloud data center optimization site selection scheme. The problem of site selection of the edge cloud data center for the power system service is solved, and the economy of operation and construction of the edge cloud data center can be effectively improved.

The invention belongs to the technical field of spaceborne synthetic aperture radar signal processing, and particularly relates to an arrangement method of a multi-ground calibration station used for geosynchronous synthetic aperture radar (GEOSAR) phase calibration. The method comprises the steps that station arrangement circles/ station arrangement arcs of the multi-ground calibration station used for GEOSAR phase calibration are selected; a rough station address of the multi-ground calibration station is selected; and the rough station address of the multi-ground calibration station is optimized. With application of the method, the address selection problem of the multi-ground calibration station of a geosynchronous orbit SAR phase calibration system can be solved in a targeted way, and the requirement of phase calibration of a GEOSAR specific observation target can be met through resource optimization configuration of limited land span of our country.

The invention relates to the technical field of underground nuclear power plants, and discloses a double-reactor T-shaped nuclear power plant group integrally provided with a low-intermediate-level waste disposal field. The plant group comprises a disposal field, two reactor plant cavities and a combined plant cavity; the combined plant cavity comprises a safety plant, a fuel plant, a safety plantand a nuclear auxiliary plant which are sequentially arranged from outside to inside along the space of the underground cavity; the disposal field communicates with the nuclear auxiliary plant; eachof the reactor plant cavities is connected with an electric plant cavity and a pressure relief cavity; the reactor plant cavities, the electric plant cavities and the pressure relief cavity are all indouble-reactor T-shaped mirror arrangement with the axes of the combined plant cavity as a center; and the reactor plant cavities are both connected with fuel plant, the safety plants and the nuclearauxiliary plant. According to the double-reactor T-shaped nuclear power plant group integrally provided with the low-intermediate-level waste disposal field, the whole excavation amount of underground cavities is reduced, the problem of disposal of low-intermediate-level wastes after operation and decommissioning of nuclear power plants is solved, and whole economy is improved.

The invention provides a power grid side energy storage power station locating and sizing optimization method based on a particle swarm algorithm, and the method comprises the steps: firstly building a topological graph with a power grid transformer substation as a node, and carrying out the pre-locating according to the network loss sensitivity variance of each node; and then, by taking the new energy consumption percentage, the node voltage fluctuation and the annual cost as objective functions, distributing weights by adopting an entropy weight method, simplifying a multi-objective solving problem into a single objective, and completing addressing and sizing optimization of the energy storage power station through a particle swarm algorithm. Stability and economical efficiency of a power grid are improved, and scientific basis and technical guidance are provided for guiding construction of an energy storage power station.