164results about How to "Achieve economical operation" patented technology

The invention discloses a real-time monitoring method for the thermal efficiency and gas characteristics of a gas boiler. According to the method, basic gas characteristics are amended through real-time operating data of the boiler, so that real-time gas characteristics are obtained and applied to the calculation of the thermal efficiency of the gas boiler, and the real-time on-line monitoring of the thermal efficiency and the gas characteristics of the boiler is realized. The real-time monitoring method overcomes adverse effects caused by fluctuation of the gas characteristics on the calculation of the thermal efficiency of the boiler and is more accurate than a traditional method in which the thermal efficiency of the boiler is calculated by testing the gas characteristics regularly; an expensive on-line analyzer is not required to be additionally added on site, and the real-time monitoring method can be realized by fully utilizing existing conditions of a power plant and has good implementability and operability; and boiler operators can be guided by results in real time for optimization and adjustment, the economic operation of the boiler is facilitated, and the purpose of energy conservation and consumption reduction can be achieved.

The invention discloses a method for predicting a line loss rate of a power distribution network. The method comprises the steps of determining multiple electrical characteristic parameters, influencing the line loss rate, of the power distribution network, performing standardization processing on parameter values of the electrical characteristic parameters, and performing normalization processingon the line loss rate; by taking the parameter values of the electrical characteristic parameters as inputs of an input layer, and taking the value of the line loss rate as an output of an output layer, building an initial neural network model, wherein the initial neural network model comprises at least one hidden layer; determining the number of hidden layer nodes; by dynamically adjusting an inertial factor and a learning factor of a particle swarm algorithm, improving the particle swarm algorithm; by utilizing the improved particle swarm algorithm, optimizing a weight value and a thresholdvalue of the initial neural network model to determine an optimized neural network model; and inputting the electrical characteristic parameters of a power distribution network line to the optimizedneural network model, and predicting the line loss rate corresponding to the electrical characteristic parameters by utilizing the optimized neural network model.

The invention provides a hybrid drive waste heat utilization double-heat-pump system and a control method. The system comprises a hybrid drive gas heat pump system, a waste heat recycling water circulating system and an absorption type heat pump system. The hybrid power drive gas heat pump system comprises a gas engine, a motor, a stepless speed change device, a power coupling, an inverter, a lithium iron phosphate battery pack, a compressor, a four-way valve, the compressor and engagement and disengagement devices. By the adoption of the gas engine, in cooperation with the motor, after the power coupling stepless speed change, the compressor is driven to work, and the refrigeration/heating circulation of the heat pump system is achieved. After being recycled, low-grade high-temperature waste heat of an engine cylinder sleeve and exhaust is used as a power input source of the absorption type heat pump generator end, and separated supply of hot water and low-temperature water is achieved. By the adoption of the hybrid drive waste heat utilization double-heat-pump system and the control method, it can be guaranteed that the engine operates economically under different loads and the waste heat of the gas heat pump system is fully utilized, and the problem of the low waste heat utilization rate in summer is solved.

The invention belongs to the technical field of power systems and automation of the power systems, and discloses an emergency control optimization method of an electrolytic aluminum self-prepared power grid and based on transient state safety and stability. According to the method, safety and economy are combined, the method is used for making transient safety and stability control measures of the electrolytic aluminum self-prepared power grid, and reference is provided for safety and stability optimization control of an electrolytic aluminum production power supply system through time domain simulation and control cost function establishment.

The invention provides a regional integrated energy system energy storage configuration method considering an electric/thermal flexible load, and the method comprises the steps: firstly comprehensively analyzing the composition of the electric load and the thermal transmission characteristics of a heat supply system, and building an electric/thermal flexible load model; then, on the basis of the architecture of the known regional integrated energy system, establishing a model of each energy assembly, meanwhile, setting constraint conditions, including energy balance constraint, energy assembly output constraint, tie line transmission power constraint and energy storage constraint; secondly, considering system energy consumption, investment, operation and maintenance and compensation cost, and establishing an economic single-objective optimization model; and finally, based on the LINGO18.0 software, solving the established energy storage optimal configuration model to obtain the optimal output of each device and the optimal capacities of the storage battery and the heat storage tank. According to the method, the regional comprehensive energy system is subjected to energy storage optimization configuration, and the energy utilization efficiency is improved.

The invention discloses a CCHP type multi-time scale optimal scheduling method and system for micro grids. The multi-time scale optimal scheduling method comprises the steps of: firstly determining agrid compensation cost according to a switchable load and an adjustable load parameter from demand side response; respectively establishing operation gains according to a CCHP unit parameter, a lithium bromide absorption refrigeration unit and a phase-change energy storage device parameter, so as to establish a triple generation system operation gain; and finally establishing a system operation cost and a gain function, and carrying out optimal scheduling on a CCHP micro grid by adoption of a multi-time scale optimal scheduling strategy to ensure that the total cost is minimum. By adoption ofthe multi-time scale optimal scheduling method and system provided by the invention, electric vacancy can be effectively relieved, the reliability can be improved and the maximum utilization of renewable energy sources can be achieved.

The invention discloses a series-structure light-storing-type multi-micro-grid economical operation system and a method. The series-structure light-storing-type multi-micro-grid economical operation system comprises a primary system and a control system. The primary system is formed in the mode that two sub-micro-grids are connected in series through a grid-connection and off-grid switch K1, and the primary system comprises a photovoltaic power generation array, a storage battery and local loads. The control system is formed by sub-micro-grid controllers, photovoltaic controllers, energy storing controllers, load controllers and a communication network. According to the series-structure light-storing-type multi-micro-grid economical optimization method, a distributed model prediction control algorithm considering a peak-valley electricity price is adopted, and according to the source load characteristic and the operating characteristic in the multiple micro-grids, a micro-grid prediction model and an optimized objective function are established. The established series-structure light-storing-type multi-micro-grid economical operation system and the method have the important engineering application value in developing researching of planning, design, mode switching and optimizing operation of the light-storing-type multi-micro-grid system.

The invention discloses a complementary micro-grid economic operation evaluation method considering small hydropower stations. The method comprises the following steps of: calculating an optimum proportion of each distributed power supply in a complementary micro-grid which is formed by combination of different distributed power supplies and energy storage capacity that needs to be configured for the distributed power supply on the basis of a primal-dual interior-point algorithm by taking energy storage capacity, a micro-grid equipment installation cost and system operation and maintenance cost as objective functions, and taking system capacity, a distributed power generation proportion and storage battery charge-discharge characteristics as constraint conditions; and establishing complementary micro-grid economic operation evaluation indexes, and carrying out comparison and analysis on a obtained complementary micro-grid, so as to form an optimum complementary micro-grid economic operation mode. A result shows that the micro-grid operation economic benefit is optimal when the contributions of three distributed power supplies including wind, light and water are complementary.

The invention relates to an adjustable heat collecting device for collecting heat dissipated by a rotary kiln body. The device is formed by connecting a plurality of independent heat collection units, wherein each heat collection unit comprises a heat collecting cover, a bracket and a position adjusting system; the heat collecting cover comprises a heated surface, a heat preserving material, a frame, a protective shield and the like; brackets are arranged on two sides of the rotary kiln body, the brackets on one side are directly connected with heat collecting shields, while the position adjusting systems are arranged between the brackets on the other side and the heat collecting covers; and each position adjusting system consists of a support mechanism and an execution mechanism. The heat collected from the rotary kiln body and the temperature of a heating working medium can be adjusted through the change of positions of the heat collection units, the connecting assembly way between the units of the heat collecting device and the change of the number of switching so as to ensure that the reclaimed heat and the surface temperature of the rotary kiln body are in a safe range, guarantee safe operation of the rotary kiln, and realize harmonization and unification of equipment safety, operation economy and heat reclaiming maximization.

The invention relates to a micro-energy network multi-time scale optimization control method based on double-layer model predictive control. A micro-energy network is coupled with three energy sources of electricity, heat and gas, and electricity-to-gas and battery-supercapacitor hybrid energy storage equipment is integrated into the micro-energy net. The invention provides a multi-time scale optimization control method based on double-layer model predictive control aiming at the problem of low reliability of an optimization control result of a micro-energy network system caused by uncertain factors such as wind and light output and load demand, and the multi-time scale optimization control method comprises an upper layer of long-time scale rolling optimization and a lower layer of short-time scale real-time rolling adjustment. The upper layer makes a long-time scale scheduling plan through multi-step rolling solution by taking system operation economy optimization as a target and combining time-of-use electricity price and natural gas price; and the lower layer aims at tracking the upper layer scheduling plan, and a super capacitor is introduced to cope with short-time scale power fluctuation of wind, light and load. According to the method, economical and safe operation of the micro-energy network can be realized on the premise of ensuring the wind and light absorption capability of the micro-energy network.

The invention relates to gas water treatment method of Luqi furnace coal gas making. It includes the following steps: removing solution gas for high pressure gas liquor; removing solid matter to gain primary gas liquor; removing oil and suspended matter to gain the first stage gas liquor; processing by double mediums filter to gain the second stage gas liquor; stripping by medium pressure stripper to gain final gas liquor; discomposing vapor phase in Luqi furnace. The final gas liquor reclaims changing gas. The second stage reclaims wet gas, processes de-dusting humidifying for crude gas, and reclaims to clean rough gas. The invention increases gas liquor multiplexing ratio by comprehensive processing of multiple step processing and classification reclamation.

The invention discloses a microgrid operation method based on bid balance, comprising: acquiring, by microgrid bidding unit agents, microgrid internal cleared electricity, optimizing with the goal of achieving maximum value of a profit function, and seeking for a bidding function capable of acquiring optimal power generation; solving, by a microgrid bidding management agent, a new microgrid internal power price and generation scheduling scheme on condition of supply-demand balance according to the reported bidding function, issuing a new microgrid internal power price to all microgrid bidding unit agents, updating the profit function according to the new power price, re-deciding a bidding function, reporting again the bidding function to the bidding management agent in order to calculate a power price and generation distribution, repeating the above steps until the power price converges, and using a converged value as a microgrid internal clearing power price; determining the final internal clearing power price as a final microgrid power generation scheme. The power generation distribution scheme acquired herein allows power generation total cost of microgrid distributed power supplies to be optimized to arrive at economical operation of a microgrid.

The invention provides an independent microgrid photovoltaic output power prediction method. In consideration of the problems that when an existing photovoltaic prediction algorithm model training set is selected, weather types are classified indistinctly and differences exist in the data at the same time of different dates of the same weather type, a selection method based on similar time is provided, and the errors caused by differences existing in the same time of different dates of a similar day in a traditional prediction method is avoided. The invention further provides an independent microgrid energy regulation method. Based on a current running state of a microgrid, the energy regulation method conducts optimal operation on a microgrid running device, a reserve power supply bidding model is built, an optimal reserve power supply combination which needs to be put into use at the current dispatching moment is obtained through solving the reserve power supply bidding model by means of an intelligent optimization algorithm, and therefore it is avoided that power supply is delayed since a reserve power supply which is needed to outputting power at the next dispatching moment has a planned time of starting running, so the power supply reliability of an independent microgrid is guaranteed and the economic operation is achieved at the same time.

The present invention discloses an active distribution network operation planning optimization method taking regard of electricity price response at a demand side. The method comprises: setting basicparameters of a particle swarm optimization, and performing initialization of an active distribution network operation plan corresponding to each particle; calculating a load variable amount and a netload of each node according to a demand side electricity price response formula; performing electric power system trend calculation, obtaining an active power requiring purchasing from a major network of each head-end node at each moment, and performing load cutting or electricity discarding according to a power off-limit condition; and calculating total operation cost of the active distributionnetwork, and obtaining an optimal operation plan and the minimum operation cost of the active distribution network through iteration of the particle swarm optimization. The active distribution networkoperation planning optimization method taking regard of electricity price response at a demand side considers cooperation regulation of a supply side and a demand side to commonly bring storage battery energy storage and electricity price responses at the demand side into the active distribution network operation plan optimization and fully develop peak cutting and valley filling capability of two sides of a 'source charge' so that receiving of an intermittent power supply is improved, a operation cost of a power distribution network is reduced and the active distribution network operation planning optimization method taking regard of electricity price response at a demand side can be applied to various occasions for distribution network operation optimization.

The invention provides an optimized scheduling method and device for a micro-energy grid of an intelligent agricultural greenhouse. The method comprises steps as follows: a scheduling optimizing model of the micro-energy grid is established on the basis of energy flowing models of micro-energy in the micro-energy grid of the intelligent photovoltaic facility agricultural greenhouse with the purpose that the comprehensive operation cost of the micro-energy grid in a day is lowest; the scheduling optimizing model is solved with a dynamic learning factor type second-order oscillation cultural particle swarm algorithm, and the operation scheduling strategy of the micro-energy grid is obtained. According to the optimized scheduling method and device for the micro-energy grid of the intelligent agricultural greenhouse, the scheduling optimizing model is solved with the dynamic learning factor type second-order oscillation cultural particle swarm algorithm, so that the scheduling strategy is obtained, the method and the device have higher operating speed, higher global searching ability and better convergence, and economical operation of the micro-energy grid of the intelligent photovoltaic facility agricultural greenhouse can be realized.

The invention discloses an operating method for an energy storage power generation system capable of adjusting reactive power. According to the operating method, a power generation apparatus, a load unit, an energy storage apparatus and SVG equipment are monitored concurrently; the power fluctuation value of the energy storage power generation system is collected in time; and the power fluctuation value is taken as the information source to dynamically adjust the power of the energy storage apparatus so as to smoothen the power of the grid-connection point and to improve the economical operation of the energy storage power generation system.

The invention discloses a low-voltage power distribution network multi-end combined power supplying structure based on an IPFC. The structure comprises a first power supplying feeder line and a second power supplying feeder line. A double-power-supply automatic transfer switch ATS is connected between the first power supplying feeder line and the second power supplying feeder line. The first power supplying feeder line is serially connected with a coupling transformer. The second power supplying feeder line is parallelly connected with a coupling transformer. The interline power flow controller (IPFC) is connected between the two coupling transformers. The interline power flow controller (IPFC) is parallelly connected with the double-power-supply automatic transfer switch (ATS). The low-voltage power distribution network multi-end combined power supplying structure settles problems such as reactive power flow control shortage, low-voltage parallel power supplying reverse power operation and electromagnetic circulation in traditional power transmission line compensation control.