83 results about "Running economy" patented technology

The article of footwear taught in the present invention includes a spring element that can provide improved cushioning, stability, and running economy. Unlike the conventional foam materials presently being used by the footwear industry, a preferred spring element is not substantially subject to compression set degradation and can provide a relatively long service life. The components of the article of footwear including the upper, insole, spring element, and sole can be selected from a range of options, and can be easily removed and replaced, as desired. Moreover, the present invention teaches a method of making a customized article of footwear, and also a way of doing retail and Internet business.

The present invention teaches a method of making a custom article of footwear. Further, the article of footwear can include a spring element that can provide improved cushioning, stability, and running economy. In addition, the components of the article of footwear can be selected from a wide range of options, and can be easily removed and replaced, as desired.

The invention discloses a two-stage coordinated optimization and control-based running method of a combined cooling heating and power supply type microgrid. The running method comprises the steps of 10) performing inter-day rolling dispatching of the combined cooling heating and power supply type microgrid, in which optimal dispatching is performed by taking minimum running cost of the combined cooling heating and power supply type microgrid as an optimal target and combining forecast renewable energy generation power and load demand according to a running constraint condition of the system, and rolling output of each equipment and electricity purchase or sale quantity from a power grid are determined; and 20) building a real-time dispatching module of the combined cooling heating and power supply type microgrid, correcting an inter-day rolling dispatching result by taking dispatching fluctuation penalty-based minimum running cost of the combined cooling heating and power supply type microgrid as the optimal target and combining the renewable energy generation power and a load demand real-time value according to a real-time running constraint condition, and determining real-time output of each equipment in the combined cooling heating and power supply type microgrid and an electricity purchase or sale quantity real-time value. By the running method, the purpose of running economy and stability of the combined cooling heating and power supply type microgrid is achieved.

The invention relates to a method for improving oxygen utilization rate of a supercritical water oxidation system. The method comprises the following steps of: injecting excessive oxygen and preheated organic waste liquid from the upper part of an evaporation wall reactor, mixing the oxygen and the organic waste liquid, performing supercritical water oxidation reaction on the mixture, and injecting evaporation water from the lateral surface of the evaporation wall reactor so as to form a supercritical temperature reaction area on the upper part and a sub-critical temperature salt dissolution area on the lower part in the reactor. When the reacted rest oxygen downwards flows to the sub-critical temperature salt dissolution area from the supercritical temperature reaction area, a part of oxygen is separated out and circulated to the supercritical temperature area on the upper part of the reactor to form internal circulation utilization of the oxygen; and the reacted fluid enters a high-pressure gas-liquid separator through condensation and pressure reduction, is dissolved into sub-critical water and carries the oxygen flowing out of the reactor, is separated by the high-pressure gas-liquid separator and then is re-injected to the reactor to form external circulation utilization. The method remarkably reduces the excessive oxygen amount coefficient by improving the utilization rate of the oxygen, and improves the running economy of the supercritical water oxidation system.

The invention relates to a multi-target synergic planning method considering a charging station and a distributed power supply for a power distribution network. The method comprises the steps of considering uncertainty of the distributed power supply, analyzing a wind light power generation output rule, and building a multi-scene distributed power supply and load model according to season and timesequence characteristic; building an electric vehicle road traffic network model, considering traffic flow distribution and traffic network layout, calculating traffic economic benefit according to traffic flow captured by an electric vehicle charging station and average waiting time of a user, and allowing the power distribution network to be coupled to the traffic network; and comprehensively considering the distributed power supply and electric vehicle charging site selection and sizing, and building a multi-target synergic planning model by planning lowest total cost and optimal network node voltage mass as an upper-layer target and minimum distributed power supply removal quantity expected value as a lower-layer target. By the method, the running economy and the electric energy quality of a power grid are improved, moreover, the traffic congestion caused by construction of the charging station is prevented, and the stability of the power system is improved.

The invention discloses a method and system for calculating the total mass of a vehicle. The method comprises the steps of obtaining first engine output powers respectively corresponding to multiple running speeds of the vehicle in a slope-free constant-speed running state to form a first two dimensional table, obtaining second engine output powers respectively corresponding to multiple running speeds of the vehicle in an accelerated or up-hill running state to form a second two dimensional table, and calculating the total mass of the vehicle according to the first two dimensional table and the second two dimensional table. The accuracy and confidence level of the total mass of the vehicle can be improved, and the running economy and safety of the vehicle can be also improved.

The invention discloses a high-elevation correction method for the lead critical coronal voltage of a 750kV transmission line, comprising the following steps of: (1) obtaining a test critical coronal voltage U test according to a corona loss measurement curve; (2) establishing a correction model for the critical coronal voltage of the 750kV transmission line; and (3) substituting the test critical coronal voltage U test in the step (1) to the correction model for the critical coronal voltage in the step (2) to obtain elevation correction voltage. The elevation correction method for the critical coronal voltage of the 750kV transmission line as stated in the claim 1 is characterized in that the elevation correction model for the critical coronal voltage of the 750kV transmission line is shown as follows: Ucorrection=Utest *eAH or Ucorrection=Utest / 1-BH, wherein Ucorrection is correction voltages at the same elevation; Utest is the test critical coronal voltage; H is the elevation height km of a test site; and A and B are elevation correction parameters. The elevation correction mode can be used for the elevation correction of the lead critical coronal voltage of the 750kV transmission line, thereby achieving the goals of optimizing the lead structure and the circuit design and improving the running economy of the 750kV transmission line.

The invention provides an active power control method of a wind power station for improving the power generation efficiency of the wind power station. The active power control method comprises the following steps: firstly, calculating the maximum theoretical generating power at the next moment of every wind power unit in the wind power station; coordinating and controlling by using long and short control periods, reasonably arranging the on-off of every wind power unit and controlling a target value to realize the optimized control of the reactive power output of the wind power field. According to the active power control method, in the long control period, the control target value distributed to the a blower is reasonable, and the control precision can be guaranteed; in the short control period, the active power of a part of wind power units can be quickly adjusted to eliminate the predict bias of the maximum theoretical generating power of the wind power unit and the fluctuation of the wind power, so that the active power output of the entire wind power station tightly follows the control target value, the power generating efficiency of the wind power station is improved greatly, and the running economy of the wind power unit is improved; the active power control method is applicable to perform the active power control on the wind power station including a stall type blower or a part of wind power units which can not participate in the active control under certain condition.

A dynamic reconstruction method considering distributed power supply and soft switch access for a power distribution network comprises the steps of building a source-load stochastic model, and performing stochastic power flow analysis on the power distribution network, wherein source-load stochastic model comprises a wind power generation system stochastic model, a solar photovoltaic power generation system stochastic model and a load stochastic model, and the stochastic power flow analysis of the power distribution network is based on a cumulant method; building an intelligent soft switch running model and a dynamic network reconstruction model, wherein the intelligent soft switch running model is expressed by capacity constraint of an intelligent soft switch converter, and the dynamic network reconstruction mathematical model comprises a target function and a constraint condition; and solving the built models by employing a genetic algorithm. The network reconstruction problem of thepower distribution network containing a distributed power supply and an intelligent soft switch is solved, a load among feeders of the power distribution network is balanced, the integral power flowdistribution of the system is improved, the overload is eliminated, the voltage level is improved, the electric energy quality and the power supply reliability are improved, the network loss is effectively reduced, and the running economy of the power distribution network is improved.

The invention discloses a multi-time scale demand response-based concentrated hybrid energy storage synergic control method. The multi-time scale demand response-based concentrated hybrid energy storage synergic control method comprises the following steps of S1, building a user multi-type demand power utilization characteristic model; S2, building a multi-time scale demand response model; and S3,determining a synergic control strategy of a concentrated hybrid energy storage system according to the multi-type demand power utilization characteristic model and the multi-time scale demand response model. According to the method, the charge-discharge strategy of the concentrated hybrid energy storage system is made according to the charge-discharge characteristics of the storage battery and the supercapacitor, the charge state and the user multi-type demand characteristic, the clean energy absorption is facilitated, the system running quality is optimized, and meanwhile, the running economy of the concentrated hybrid energy storage system is improved.

The invention relates to an energy internet economy dispatching method of metering and heating and power multi-loading dynamic response. The energy internet economy dispatching method is characterizedby comprising the following steps of 1, building a dynamic response model of miniature energy internet demand-side heating and power loads; 2, constructing a miniature energy internet economy optimization dispatching model of metering and multi-loading dynamic response; 3, based on a quantum difference evolution algorithm, solving the miniature energy internet economy optimization dispatching model of the metering and multi-loading dynamic response in step 2. By means of the energy internet economy dispatching method of the metering and heating and power multi-loading dynamic response, the dispatching potential of the energy demand-side multisource loads and the cooperative complementation feature of the energy demand-side multisource loads with the energy supply side can be greatly tapped, thus the energy supply and demand cost of the miniature energy internet can be effectively lowered, and the running economy of the system is further improved.

The invention relates to a double-layer hierarchical optimization configuration method of an energy storage system in an active power distribution network. The double-layer hierarchical optimization configuration method comprises the steps of building an outer-layer planning model, wherein total investment cost is taken as a target, year is taken as minimum planning unit, and optimization objects are installation position and installation capacity of the energy storage system; and building an inner-layer running model, wherein optimal running economy is taken as a target, day / hour / minute is taken as minimum running unit, and an optimization object is a running control variable of storage energy. An optimal solution of the outer-layer planning model is figured out by mutual relation between the inner-layer running model and the outer-layer planning model, and optimization configuration of the energy storage system in the active power distribution network is further achieved. With regard to unfavorable influence of a distributed power supply on the power distribution network, two different time scale problems of running control and planning design are combined, so that the configuration of the energy storage system can be reasonably optimized, and the economy of the power distribution network is improved.

The invention discloses a multi-microgrid sequential grid-connection optimization scheduling method, apparatus and system. The method comprises the steps of establishing a constraint condition and anoptimization target, and building a multi-microgrid optimization model according to the constraint condition and the optimization target; according to the discreteness and continuity of variables, decomposing the multi-microgrid optimization model into a main problem and sub-problems; and according to microgrid parameters and electricity price information, solving the main problem and the sub-problems to obtain a scheduling plan. The method is mainly used for a centralized multi-microgrid energy management system, and aims to coordinate multi-microgrid energy trading, overcome disturbance of uncertain factors, improve running economy and energy utilization efficiency, and assist a system operator to make an optimal running decision.

The invention discloses a multi-microgrid connection line power optimization method based on a leader-follower game. The method considers a three-phase unbalance constraint of a system, a game theory is applied, a Stackelber master-slave dynamic game method is adopted, an optimized mathematical model of each main body in a multi-microgrid is built, the power of an upper-layer connection line of the multi-microgrid is jointly solved based on particle swarm optimization, and the unbalance degree of the power of the upper-layer connection line of the multi-microgrid is enabled to be smaller than 15%; a simulation example tests that the proposed method can conform to that the loss of each sub-microgrid is minimum on the condition the three-phase unbalance requirement of the system is satisfied; and the three-phase power of the power of a top-layer connection line of the multi-microgrid is unbalanced due to the problems of inconsistent power utilization habits of a user of each single-phase sub-microgrid and the like, and when the three-phase unbalance state of the system is serious, the loss of a power distribution and transformation line will be increased and even cannot normally run. By the multi-microgrid connection line power optimization method based on the leader-follower game, the running economy of the system can be improved on the basis that the three-phase unbalance degree of the system is enabled to conform to a certain condition.

The invention discloses an online evaluating method for the primary frequency modulation capacity of a turbine.The method includes the steps of obtaining the current main steam pressure of a running unit of the turbine and the current opening degree of an adjusting valve in real time; calculating the primary frequency modulation capacity under the rated main steam pressure corresponding to the current opening degree of the adjusting valve according to the relation between the adjusting valve opening degree under the rated main steam pressure of the unit of the turbine and the corresponding primary frequency modulation capacity, wherein the primary frequency modulation capacity is the load increment corresponding to the full opening degree of the adjusting valve; modifying the primary frequency modulation capacity under the rated main steam pressure into the primary frequency modulation capacity corresponding to the current main steam pressure according to the relation between the main steam pressure and the primary frequency modulation capacity, and determining the current primary frequency modulation capacity.By means of the method, the running economy and safety of a power grid are improved.The invention further discloses an online evaluating device for the primary frequency modulation capacity of the turbine.

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

The invention discloses an air source phase-change energy-storing floor air supply air-conditioning system and an energy-storing and energy-releasing method thereof. The output end of an air source cold / hot water unit is connected with the input end of a water pump; the output end of the water pump is connected with the input end of an electric valve; the output end of the electric valve is connected with the cold / hot water input end of an air conditioner tank; the cold / hot water output end of the air conditioner tank is connected with the input end of the air source cold / hot water unit; the first air output end of the air conditioner tank is connected with the air input end of a room through a first pipeline; the air output end of the room is connected with the first air input end of the air conditioner tank through a second pipeline; and the second air input end of the air conditioner is communicated with the atmospheric air. Cold air with a low temperature at night in transition seasons can be stored through the energy-saving characteristic of a phase-change energy-storing material and can be released in the daytime by using the day-night temperature difference in the transition seasons, and the aim of saving energy is fulfilled. Energy can be stored at night and can be released in the daytime by using the peak-valley electrovalence difference in non-transition seasons, so that peak and valley loads are adjusted, and the running economy of equipment is improved.

The invention relates to a combined heat and power generation-based photothermal power generation and thermoelectric unit combined peak adjustment optimization model. A process specifically comprisesthe steps of (1) analyzing a photothermal power generation running mechanism and building a simplified model according to an energy flow process; (2) building a steam extraction type thermoelectric unit running model; (3) building a combined heat and power generation running mode-based photothermal power station and thermoelectric unit combined system running model; and (4) according to unit running constraints in a system, building and solving a photothermal power generation peak adjustment optimization model. Compared with a conventional optimization model, heat balance constraints of the system, thermoelectric coupling constraints of a thermoelectric unit, running constraints of a photothermal power station and the like are added; the problem of wind abandoning in an off-peak time period of the power system during a winter heating stage is effectively solved; and the wind and power consumption level and the system running economy of the power system are improved.

The invention belongs to the technical field of power transmission scheduling, and particularly relates to a consistency algorithm-based generation-grid-load-storage collaborative optimization method.The method comprises the following steps of building a "generation-grid-load-storage" optimization scheduling model; and establishing a consistency algorithm-based collaborative optimization policy.The characteristics of coordinated interaction between power supplies, between the power supplies and grids and among the grids, loads and storage are comprehensively considered, and the "generation-grid-load-storage" coordinated interaction is adopted, so that a running mode and a technology of energy resource maximum utilization are realized, and the generation-grid-load-storage collaborative optimization problem is efficiently solved through a consistency algorithm. The method realizes real-time power balance while ensuring system running economy and maximizing social welfare, realizes maximum utilization of recyclable energy, reduces abandoned wind and light, and implements a green energy-saving scheduling concept.

A peak sheaving and valley filling method for a grid-connected microgrid containing a wind-light-storage-electric vehicle belongs to the field of power grid management. A microgrid management strategyis divided into a peak sheaving and valley filling stage and a power fluctuation suppression stage, peak and valley adjustment of a distributed renewable energy-containing microgrid connection line is achieved by matching of slow charging time of a translation electric vehicle and charging and discharging of a storage battery, and a high-frequency component and a low-frequency component in powerfluctuation are respectively suppressed by a supercapacitor and the storage battery and by considering short-term power fluctuation of the connection line caused by fast charging of the electric vehicle. By the method, energy optimization and coordination of the grid-connected microgrid containing the wind-light-storage-electric vehicle can be achieved, the electric energy quality of a circuit isensured, and the running economy of the microgrid is improved.

The invention provides an optimization configuration method of an active filter. The optimization configuration method comprises the following steps of setting a target function according to influence on configuration of the active filter; setting a constraint condition conforming to optimization configuration of the active filter of an intelligent power distribution network; and performing optimization configuration on the active filter of the intelligent power distribution network by a configuration algorithm combined with a mode analysis method and a genetic algorithm. According to the optimization configuration method of the active filter, provided by the invention, a candidate position node of the active filter is determined by introducing the mode analysis method, the calculation quantity of the genetic algorithm for determining a configuration position of the active filter is reduced, and the problem that the genetic algorithm is easy to fall into local optimum is solved; and moreover, the operational speed of the optimization configuration method is fast, rapid convergence of the algorithm is facilitated, a better optimal solution can be found out, the optimal access position of the active filter can be effectively calculated, and the optimization configuration method has a good effect on improving the running economy of the system and improving the electric quality.

The invention discloses an installed power configuration optimization method for a regional type combined cooling heating and power system. Devices of the regional type combined cooling heating and power system include a prime motor, an absorption type heat pump unit, a compression heat pump unit, a compression water chilling unit, a gas boiler and a cold accumulation device. The configuration optimization method includes the steps of analyzing project information and loads, obtaining a summer plan, obtaining a winter plan, optimizing the cold accumulation device and outputting a result. According to the method, through the combination with the characteristics of the system loads and by taking the initial investment and running expenses of the system within a whole life cycle into consideration, the configuration of the installed power of all energy supply and storage devices in the regional type combined cooling heating and power system is optimized, the investment and running economy of the system are improved, the utilization rate of all the devices is increased, and the method has quite high popularization value.

The invention provides a system for increasing a pulverizing and drying output force during doped lignitous coal burning of a burning bituminous coal boiler, and relates to a doped lignitous coal burning system of the burning bituminous coal boiler in order to solve the problem that thermal power generation enterprises adopting the conventional doped lignitous coal burning mode has potential safety hazard and poor running economy. A primary air fan is communicated with the first section of a hot primary air pipeline through a cold primary air pipeline and a rotary air preheater; the first section of the hot primary air pipeline is communicated with a second section of the hot primary air pipeline through a connecting piece with a square top and a round bottom; the second section of the hot primary air pipeline is connected with a hot primary air female pipe through the third section of the hot primary air pipeline; the hot primary air female pipe is communicated with the hot primary air branch pipeline; the outlet of a micro-oil ignition small oil gun is communicated with the second section of the hot primary air pipeline; and at least one thermocouple is arranged on the second section of the hot primary air pipeline and the third section of the hot primary air pipeline. The system is used in the doped lignitous coal burning system of the burning bituminous coal boiler.

A test method for steam internal leakage quantity of a low-pressure bypass valve of a thermal generator set comprises the following steps of (1) selecting a set load for performing internal leakage test on a bypass voltage of a low-pressure cylinder; (2) determining a boundary condition of experiment; (3) obtaining steam parameter change conditions of a low-pressure bypass system before and afterdesuperheating water flow change by changing bypass desuperheating water flow of the low-pressure cylinder; (4) recording an experiment parameter of each working condition point, and forming originalexperiment data; and obtaining internal leakage steam flow of the low-pressure bypass valve by calculation. An energy balance, mass balance and same boundary loss item offset method is employed, the internal leakage steam flow of the low-pressure bypass valve of the thermal generator set is obtained by accurate and quantitative calculation of experiment, quantitative analysis and calculation is performed for the low-pressure bypass valve of the thermal generator set when internal leakage occurs, and the most direct data support is provided for power plant running economy and maintenance operation of the low-pressure bypass valve of a power plant.

The invention discloses a fling-cut switch array-based energy router and a fling-cut switch control method. The voltage and the current of all distributed power supplies and the load of all branches are monitored in real time with a digital signal processor as a core, an optimal circuit topology structure mode is determined through integrating the output ability, the real time price, the load characteristic and other factors of all the distributed power supplies, and the fling and cutting of fling-cut switches in a fling-cut switch array is adaptively controlled, so coordinative control of energy distribution is realized, and the micro-grid running economy is improved. The fling-cut switch is formed through parallel connection of a magnetic latching relay and a bidirectional silicon controlled rectifier, voltage zero-crossing flinging and current zero-crossing cutting are realized through the bidirectional silicon controlled rectifier, continuous load current goes through the magnetic latching relay, and the silicon controlled rectifier only works for a short time in circuit switching, so the problem of large loss of the silicon controlled rectifier due to long-term working is avoided, and the inrush current problem in flinging and arc generated in circuit breaking are avoided.

The invention relates to a wide-load heat supply energy-saving system of a back pressure type small turbine drive water supply pump. The wide-load heat supply energy-saving system comprises a main turbine, a back pressure type small turbine, a water supply pump, a boiler reheater, a deaerator and a low-pressure heater. The steam discharge end of a high-pressure cylinder in the main turbine is connected with the steam inlet end of the boiler reheater, the first steam outlet end of the boiler reheater is connected with the steam inlet end of an intermediate-pressure cylinder, and then a reheating circuit is formed. The second steam outlet end of the boiler reheater is connected with the steam inlet end of the back pressure type small turbine, and then a heat supply circuit is formed. The power output end of the back pressure type small turbine is connected with the drive input end of the water supply pump, and then the water supply pump drive circuit is formed. The first steam discharge opening of the intermediate-pressure cylinder is connected with the steam inlet end of the deaerator through a heat return and steam extraction pipeline, the second steam discharge opening of the intermediate-pressure cylinder is connected with the steam inlet end of a low-pressure heater through a steam extraction pipeline, and then a heat return circuit is formed. A steam extraction and supplementation structure of the heat supply circuit is formed between all connecting pipelines of the low-pressure heater, a condensate water pipeline, the deaerator and the intermediate-pressure cylinder and a heat supply pipeline network. The wide-load heat supply energy-saving system has the advantages that the heat supply running economy is improved, and the high running adjustment flexibility and heat supply economy are achieved.

The invention provides a multi-objective optimization control method of a microgrid. The multi-objective optimization control method comprises the following steps of firstly, building an optimized objective function of the microgrid, wherein the objective function at least comprises an electric charge minimum objective function and a battery health state function; secondly, determining a charging-discharging power constraint, a charging-discharging frequency constraint and a total electric quantity storage constraint of an optimized energy storage battery of the microgrid; thirdly, figuring out the objective functions by a particle swarm optimization algorithm to obtain the optimal solution and the worst solution of each objective function; and finally, obtaining a weight coefficient of each objective function by a linear weighting sum method, and obtaining the optimal solution of multi-objective optimization control of the microgrid. Therefore, by the scheme, multi-objective optimization is carried out on the charge state and the service lifetime of an energy storage system, and the running economy of the microgrid can be effectively improved, and the energy storage service lifetime of the microgrid can be effectively prolonged.

The invention provides a load curve time frame division method suitable for reconfiguration of a power distribution network. The method comprises the steps of performing per-unit on a load; dividing a load curve time frame; calculating an equivalent load of the load curve time frame; calculating mode proximity; and determining an equivalent mode of a load curve. According to the technical scheme provided by the invention, time frame division is performed on the load curve by employing a method of fuzzy clustering and mode identification, equivalent processing on load data of a complicated power grid is completed, the load data volume is effectively compressed, the switch action time of dynamic reconfiguration of the power distribution network is reasonably determined, and the running economy and reliability of a power distribution system can be improved.

The invention proposes an optimization dispatching method of a wind power plant containing a distributed power flow controller. The optimization dispatching method comprises the steps of firstly, making a day-ahead dispatching plan by taking minimum power generation cost as a target according to a pre-built distributed power flow controller model and a constraint condition; secondly, correcting apower generation plane and a running control strategy of the distributed power flow controller in real time from a current time fracture surface to a next dispatching moment in real time according tothe day-ahead dispatching plane and wind power forecast error; and finally, making a real-time dispatching plan by taking lowest power generation cost within unit frame as an optimization target, anddispatching a wind power plant according to the real-time dispatching plane. The invention proposes the optimization dispatching method, which is economic, safe and more accurate, for the wind power plant; by making the reasonable power generation plan, the running economy of the system is improved, and an unnecessary wind abandoning phenomenon is reduced; the wind power absorption level and the power grid running economy are effectively improved, and a solution idea is provided for economic and safe dispatching running of a future power grid.