224results about How to "Good optimization result" patented technology

The invention provides an APSO (Adaptive Particle Swarm Optimization) algorithm-based electric vehicle fast charging station optimized siting and sizing method. According to the method of the invention, the range of the quantity of charging stations to be constructed in a planning area is obtained according to the estimated charging demand of the planning area and the maximum and minimum capacitylimit of single fast charging stations; whole society cost is taken as the objective function of a current scheme with a charging station service radius and the charging station maximum charging capacity adopted as constraint conditions; and the APSO algorithm is adopted to solve the siting models of different number of charging stations, and a scheme enabling the lowest whole society cost is adopted as an optimized siting scheme; and optimized sizing is performed on the scheme which has completed siting through adopting a queuing theory, so that the optimized siting and sizing of the fast charging stations can be realized. The computational efficiency of the method provided by the invention is higher than that of a traditional PSO (Particle Swarm Optimization) algorithm, and the optimization result of the method is also significantly better than that of the PSO algorithm.

The invention, which belongs to the power system scheduling automation technology field, aims at providing a set combination optimization method based on a BPSO and a Lagrange multiplier algorithm. An operation cost of a generator set is used as an optimized object and the BPSO and the Lagrange multiplier algorithm are combined. And the method comprises the following steps that: initial starting up and stopping matrixes are generated randomly; a matrix that does not satisfy a minimum starting up and stopping constraint condition is transformed; with regard to a starting up and stopping matrix that can satisfy a power constraint condition, the Lagrange multiplier algorithm is used to solve a power distribution scheme; a matrix adaptive value is calculated; an individual optimal value and a global optimal value are updated; a particle speed and a matrix element are updated; and an optimal power distribution matrix and an adaptive value are output after the iteration number is reached. According to the method provided in the invention, resource configuration capability of a power system can be effectively improved and set operation costs are reduced.

The invention provides a solar heat accumulating system and a seawater desalting system. The solar heat accumulating system comprises a heat collector, a heat accumulator and a heat using device, wherein the heat collector and the heat accumulator are communicated to form a circulating loop; the heat accumulator and the heat using device are communicated to form a circulating loop; a pipe, where the heat accumulator is located, is connected in parallel with a pipe, where the heat using device is located; the heat collector is used for absorbing energy from the sun and heating water in the heat collector; the heated water flows into the heat accumulator and the heat using device through a water outlet pipe respectively, and water flowing out of the heat accumulator and the heat using device enters the heat collector through a water return pipe for heat exchange. The invention provides the novel solar system and seawater desalting system, and the seawater desalting efficiency is improved through a heat accumulating function.

The invention provides a heat radiator and a combined heat and power generation system including the same. The heat radiator comprises a base tube and external fins, the external fins are sealed, the sealed external fins comprise fins and a sealing sheet for sealing the fins, and the distance between the sealing sheet and the base tube gets closer from the lower portion of the base tube to the upper portion of the base tube. According to the heat radiator and the combined heat and power generation system, the structure of the heat radiator is optimized, heat transfer efficiency of the heat radiator is maximized, energy is saved, and the purposes of environmental protection and energy saving are achieved.

The invention provides a solar heat collector and a seawater desalination system comprising the same. The solar heat collector comprises heat collection tubes, wherein every two adjacent heat collection tubes are connected by the aid of a heat collection plate, so that the multiple heat collection tubes and the adjacent heat collection plates form a tube-and-plate structure. A solar heat collector system comprises two tube-and-plate structures, a certain included angle is formed by the two tube-and-plate structures, the heat collection tubes have rectangular cross sections, and the heat collection plates are connected with corners of the rectangles. The novel solar heat collector and the seawater desalination system can improve the solar heat absorptivity, so that the desalination efficiency of the seawater desalination system can be improved.

The invention discloses a method and a system for planning an optimal route and an optimal driving mode of an electric automobile. The method comprises the following steps: based on reachability analysis, performing sieving so as to obtain a practicable route set of the electric automobile under different driving modes and a corresponding charging mode set; after a user weight coefficient is obtained, calculating evaluation indexes of each practicable route under different driving modes, wherein the user weight coefficient is the coefficient preset by a user or is the coefficient which is automatically obtained according to the driving habits of the user; and based on the calculated evaluation indexes, planning the optimal route and the optimal driving mode. Through the adoption of the method disclosed by the invention, according to the demand indexes of the user, the evaluation indexes of corresponding weighting are calculated, so that the optimal practicable route, and the optimal driving mode, namely the combination of a driving mode and an air conditioner mode are obtained through sieving; and automobile characteristics of the electric automobile can be sufficiently utilized, so that the optimal route planning result and the optimal driving mode planning result are obtained, the optimizing result is good, and the method can be widely applied in the control field of the electric automobile.

The invention discloses a wind power plant included multiple-target unit commitment optimization method considering the harmful gas discharge amount. The method adopts wind power interval prediction information to consider the wind power output uncertainty, establishes a multiple-target unit commitment optimization model with lowest conventional unit power generation cost and lowest harmful gas discharge amount and provides a novel multiple-target quantum disperse particle swarm optimization method to solve the model and obtain a Pareto optimal solution, and finally a decision maker compromises and selects a most suitable unit starting-stopping and load allocation plan according to the requirements for operation cost and environmental benefit. By adopting the method, access of a large-scale wind power plant can be coped, the economic benefit and environmental benefit are comprehensively considered on the unit commitment problem, the provided multiple-target quantum disperse particle swarm optimization method integrates the advantages of a quantum theory and classic disperse particle swarms, and a Pareto optimal basic concept is introduced to solve the multiple-target optimization problem. Compared with the prior art, the wind power plant included multiple-target unit commitment optimization method has the advantages of being high in convergence speed, high in computing efficiency and good in optimization result and is practical for solution of the unit commitment problem of a large-scale power grid.

The invention discloses a method for optimizing chromatograph operating parameters of a simulated mobile bed. According to the method, the target preference requirement of a chromatograph production process of the simulated mobile bed is introduced for guiding the optimization direction to optimize the purity and production rate of a simulated mobile bed product. Compared with an experimental optimizing method, the method saves a large amount of operating time and economic cost; compared with a common single-target optimizing method, the method more accords with the fact that the weight relationship between a plurality of production targets or targets in the practical production process of the simulated mobile bed; and compared with a common multi-target optimizing method, the method adds the production target preference of the simulated mobile bed according to real process, so that the obtained optimizing results are positioned within a target preference range, the pertinence of the optimizing results is improved and better working points are acquired.

The invention provides a Spacewire network delay testing and optimizing system. The Spacewire network delay testing and optimizing system comprises a human-computer interaction interface, a central processing unit, a two-way communication control link based on a PCI bus and a special Spacewire node controller. The central processing unit generates data packets according to configuration parameters input by a user through the human-computer interaction interface, the two-way communication control link based on the PCI bus transmits the data packets to the special Spacewire node controller, the special Spacewire node controller computes delay parameters of each data packet in a Spacewire network in real time, and the central processing unit globally optimizes the Spacewire network according to the delay parameters and provides the obtained optimization result to the human-computer interaction interface. According to the Spacewire network delay testing and optimizing system, a delay test of the Spacewire network is implemented, the tested delay parameters are accurate, the reliability is high, and the real time performance is strong; besides, the to-be-tested Spacewire network is optimized, and if the user optimizes the Spacewire network according to the optimization result, the efficiency of the Spacewire network can be effectively improved.

The invention provides a combined heat and power generation system with regulating valves adapting to changes. According to the combined heat and power generation system with the regulating valves adapting to the changes, the first regulating valve is arranged on a hot water supply pipe to regulate hot water entering into a heat exchanger; the second regulating valve is arranged on a water inlet pipeline of a radiator, data connection is conducted between a programmable logic controller and the first regulating valve as well as between the programmable logic controller and the second regulating value, and when the opening degree of the second regulating valve changes, the opening degree of the first regulating valve changes correspondingly to enable the hot water input into the heat exchanger to change correspondingly. According to the combined heat and power generation system with the regulating valves adapting to the changes, the heat exchange efficiency is maximized through the corresponding changes of the regulating valves, the energy is saved, and the purposes of protecting environment and saving energy are achieved.

The invention discloses an indoor positioning method based on a Bayesian iteration improved particle swarm optimization algorithm, which is called a BCLPSO algorithm for short, and comprises the following steps of: 1) acquiring a positioning database and acquiring unknown node measurement data di; 2) substituting into a BCLPSO algorithm for calculation, and executing initialization of a particle position vector and a speed vector; 3) calculating a learning probability Pci and acquiring an individual extreme value pbesti,d; 4) calculating a particle posterior probability Pit, and screening an optimal sample exemplart of a current group; 5) updating position vectors and velocity vectors of the particles; and 6) obtaining a convergence condition, judging an iteration process, and obtaining an optimization result. The method is applied to the technical field of indoor positioning, replaces a traditional KNN algorithm to be used for position estimation, solves the problem that the traditional KNN algorithm is prone to falling into a local optimal solution, can inherit and utilize historical information of each particle based on the BCLPSO algorithm, effectively retains diversity of a particle population, and prevents premature convergence caused by neglecting a potential optimal solution, the global optimal positioning point can be better found, and the positioning precision is improved.

The invention discloses a wind power layered smoothing system taking regard of response from a demand side, and a method thereof. The method comprises the following steps: 1) establishing a source-load-storage interactive layered smoothing model including a wind power time-of-use power price mathematical model, a charging and discharging state model for an energy storage device, a load layered optimization wind-power power smoothing model, and an energy storage device charging and discharging state optimization model; and 2) based on a PSO particle swarm optimization algorithm, calculating the models, and obtaining the optimal scheme for translatable load operation and scheduling and for energy storage device charging and discharging. The wind power layered smoothing system taking regard of response from a demand side, and the method thereof enable the load to effectively track a wind turbine generator system to output capacity, can reduce the volatility for outputting wind-power power on a junctor to smooth outputting of the wind-power power and improve the economical efficiency for power purchase in the system for users.

The invention discloses a haze image medium transmission rate estimation and optimization method based on quick gaussian filtering. The method comprises the steps of estimation of a transmission rate and quick gaussian filter optimization of the transmission rate; the whole defogging flow comprises the steps that the minimum value is taken from three color values of each pixel point; a minimum value luminance diagram is obtained; the adjacent minimum value of each pixel point is obtained in the minimum value luminance diagram; a dark channel image is obtained; an average value of 0.1% of maximum gray scale pixels in a dark channel is selected as an atmospheric light value; a transmission image is computed according to the dark channel image; a transmission diagram is refined by adopting a quick gaussian filter; and a fogging imaging model is brought into to recover a fog-free scene. The method adopts a recurrence gaussian filtering method to optimize the transmission rate, so that an optimization result is good, and the method can be quickly achieved by adopting a programmable logic device.

The invention provides a loop heat pipe-type solar water heater system which comprises a thermal utilization device, wherein the thermal utilization device is hot water output equipment for providing a user with hot water and comprises a heat exchanger; the heat exchanger is connected with tap water; hot water from a solar water heater enters the heat exchanger to exchange heat with the tap water. The solar water heater provided by the invention is energy-saving, and higher in solar heat utilization capability.

The invention discloses an optimal scheduling method and system for a photovoltaic power system based on a flexible load. The response characteristics of the flexible load are combined, and the minimum operating cost, carbon emission penalty cost and lost load risk cost are taken as objective functions, so that the random fuzzy constraint conditions are determined, the photovoltaic output is predicted and a model is solved by adopting an improved bacterial colony chemotaxis algorithm based on a satisfaction method. The method or the system can meet the requirements for safe, economic and environment-friendly operation of an electric power system, the absorptive capacity of the photovoltaic system is greatly improved, the adopted algorithm has better convergence, the optimization result ismore ideal, and a reference is provided for a decision maker to carry out scheme decision.

The invention provides an intelligent blowdown boiler which comprises an automatic control blowdown system. The automatic control blowdown system is automatically controlled according to the amount of steam generated by the boiler and the amount of water input into the boiler. The water supply amount and the generated steam amount of each boiler are monitored in real time, so that the dynamic relation of the water supply amount and the generated steam amount is obtained, whether the blowdown system of the boiler works normally or not is judged, and waste of a large amount of heat energy waste caused by faults of the blowdown system of the boiler is avoided.

The invention provides a seawater desalination system with a loop heat pipe. The system comprises an evaporation chamber, an acidic gas storage tank, an alkaline solution container and a seawater storage tank. The evaporation chamber is provided with an exhaust port and is connected with the acidic gas storage tank and the alkaline solution container, a first pipeline connected with the seawater storage tank is arranged at the bottom of the evaporation chamber, the seawater storage tank is provided with a second pipeline connected with the evaporation chamber and used for conveying seawater to the evaporation chamber, the first pipeline and the second pipeline are provided with a first valve and a second valve respectively, a pipeline through which the evaporation chamber and the acidic gas storage tank is connected is provided with a third valve, and a pipeline through which the evaporation chamber is connected with the alkaline solution container is provided with a fourth valve. The evaporation chamber is vacuum in a chemical mode, cost is reduced, and seawater desalination performance and efficiency are improved.

The invention provides a boiler thermodynamic system. The boiler thermodynamic system comprises a central monitoring diagnostic system, a fuel conveying device and a plurality of boilers connected in parallel. Each boiler is in data connection with the central monitoring diagnostic system. The central monitoring diagnostic system is in data connection with each boiler and the fuel conveying device so that the fuel input amount of each boiler can be obtained in time. The central monitoring diagnostic system monitors the ton steam fuel consumption parameter of each boiler in real time according to the obtained mass of steam output by each boiler and the obtained fuel input amount of each boiler. The ton steam fuel consumption of each boiler is the ton steam fuel consumption index obtained by dividing the total amount of steam generated by the boiler during a certain period of time by the fuel input amount of the boiler during the period of time. By means of the boiler thermodynamic system, the thermodynamic system can keep running efficiently all the time, and energy waste can be avoided.

The invention provides an auxiliary heating solar energy system and a seawater desalination system. The system comprises a heat collector and a heat utilization device thereof, the heat collector is connected with the heat utilization device through a pipeline, the heat collector absorbs solar energy to heat water in the heat collector, the heated water enters the heat utilization device through a water outlet pipeline, and the water flowing out of the heat utilization device enters the heat collector again for heat exchange; the system is characterized in that the water in the pipeline of the heat utilization device enters and flows through an auxiliary heating device before entering the heat utilization device. According to the novel solar energy system and the seawater desalination system, auxiliary heating can be conducted when the solar energy lacks, and therefore the desalination efficiency of the seawater desalination system is improved.