106results about How to "Keep the economy running" patented technology

The invention discloses an optimum dual-inlet and dual-outlet steel ball coal grinding machine direct-blow type powder-preparation control method. The method obtains the material position of the coal grinding machine after carrying out soft-measurement processing by collecting the noise material position of the coal grinding machine, the material position of pressure difference, the current of the coal grinding machine, one-time air quantity, one-time opening of the hot wind door and the cold wind door of an inlet, inlet temperature and outlet temperature; the control comprises material position control, air quantity capacity control, bypass air quantity control and the temperature control of the inlet and the outlet; the material position is optimized and the best material position of the coal grinding machine is searched online so as to ensure the combustion safety of the boiler and coal powder supply quantity when the load of the boiler is adjusted. The boiler combustion is optimized: according to the boiler technology, the load and the running working conditions, the powder supply quantity and the ventilation quantity of each coal grinding machine are optimized and the combustion efficiency of the boiler is improved. Malfunction diagnosis, running evaluation and analysis are carried out to the system and reasonable suggestions are provided so as to ensure the system to run continuously, stably, safely and economically; the optimum dual-inlet and dual-outlet steel ball coal grinding machine direct-blow type powder-preparation control method is widely applied to the dual-inlet and dual-outlet steel ball coal grinding machine direct-blow type powder-preparation system or industrial similar systems in other industries.

The invention discloses an optimal control method for grinding and grading mineral powder, which is characterized in that: the grinding load and grinding concentration is obtained by sampling grinding-grading process signal, with the help of the advanced control and through testing the state in the grinder; the optimal grinding load, the optimal sand-returning ratio, the optimal grinding concentration and the optimal overflow concentration are obtained through the grinding load optimization, the sand-returning ratio optimization, the grinding concentration optimization and the overflow concentration optimization; the feeding quantity is obtained through the control algorithm of the feeding quantity ; the sand-returning water volume is obtained through the control algorithm of the sand-returning water volume; the discharging water volume is obtained through the control algorithm of the discharging water volume. The optimal control method has advantages that: the global optimization to the grinding-grading process is realized; and meanwhile the diagnosis is done to reveal the fault of the grinding-grading process; the appraisal and analysis is executed in the grinding-grading process; reasonable advice is come out; continuous, stable, safe and economic running is ensured; so the method is widely used in the grinding-grading process and similar wet milling process in other industry crafts.

The invention provides a standby and peak shaving auxiliary service cost allocation method facilitating new energy grid-connected consumption. The method comprises the steps that a target function and constraint conditions of a new energy grid-connected consumption model based on production simulation are determined; the standby auxiliary service cost spent after new energy grid connection is calculated; new energy wind turbine generator earnings are calculated; the standby auxiliary service allocated cost is calculated; the peak shaving auxiliary service allocated cost spent by wind power connection is calculated. According to the standby and peak shaving auxiliary service cost allocation method facilitating new energy grid-connected consumption, the consumption model taking the extra service cost spent by new energy grid connection into account is built, the standby and peak shaving auxiliary service cost spent by new energy in different situations is analyzed, and therefore the allocation scheme for the auxiliary service cost spent after new energy grid connection is provided; service providing initiative of a traditional power source is effectively improved, the benefits of a provider are ensured, wind or light abandoning is reduced, and economical operation of a system is ensured.

The present invention relates to a power distribution network reactive power compensation planning method. Through the setting of a reactive power compensation planning target, condition constraint and selected typical region calculation and the expansion to an entire network, the optimal compensation capacity and economic efficiency of reactive power compensation planning are obtained, the network loss is effectively reduced by using the reactive power compensation planning, the reasonable configuration of a reactive power compensation capacity is realized, and the safe and economic operation of a power system is ensured.

The invention discloses an optimization method of the day-ahead unit commitment of a thermal power system of a thermal power plant capable of operating under multiple states. The optimization method comprises the following steps: firstly, predicting the total power generation load of the system and the heat supply load of each thermal power plant on the next day; then, taking the minimum total power generation coal consumption of thermal power system on the next day as a target, and taking a situation that power supply and thermal energy supply are satisfied as a condition to establish an optimization model of the thermal power system unit commitment by simultaneously meeting constraints including the reserve requirements of the thermal power system, the electrothermal coupling characteristics of an extraction steam turbine of the thermal power plant and the thermal characteristics of a thermal storage tank; and finally, using an optimization algorithm to calculate to obtain a startup-shutdown plan of each thermal power unit, a power generation and steam extraction plan of a steam turbine of a heat supply unit and a thermal charging and discharging plan of the thermal storage tank in the thermal power plant on the next day so as to guarantee the economic operation of the thermal power system.

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, which belongs to the renewable-energy generated power prediction technology field, discloses a wind power prediction method based on an adaptive linear logic network. In the method, historical data of a wind power station is used to carry out adaptive training to the linear logic network, wherein the historical data comprises: historical output of a wind turbine and the historical meteorological data. In a real time usage process, the system carries out prediction to the generated power of the wind power station through collecting value meteorology forecast data, actual measured wind data and real time power generation power data. By using the method of the invention, a prediction wind power modeling process is simple. The process is easy for mathematical analysis. A prediction result is stable and reliable. A training speed is fast. On-line repetition training is supported and a requirement to an operational processor is low. The system can provide a basis for power grid to schedule and compile a wind power station power generation plan curve. When the wind power accesses to the electric power system, an electric power value in an electric power market can be optimized and simultaneously, a beneficial reference can be provided for operation and maintenance of the wind power station.

The invention provides a power generation cost optimization method for an iron and steel enterprise, and belongs to the technical field of comprehensive power saving in iron and steel enterprises. The power generation cost optimization method comprises the following steps: a dispatching cycle T which needs power generation cost optimization is determined, and power generation cost optimization parameters of a set are acquired; a network cross section used for planning a current power generation schedule is acquired; fuel cost of the generator set under the condition of coal gas blending combustion in the cycle is determined; according to the energy consumption of the set of the iron and steel enterprise, external electricity purchasing cost and an external power transmission income physical truth, an optimized dispatching model which aims for the lowest power generation cost of a whole system is established; results of self-generating set output, externally purchased electricity, externally transmitted electric quantity and the like of the iron and steel enterprise are obtained according to an optimization solution. The power generation cost optimization method for the iron and steel enterprise has the advantages of being capable of meeting requirements for production loads, generator set output, line transmission capacity and the like, guaranteeing safe and reliable operation of a grid of the iron and steel enterprise, further optimizing and adjusting self-generating electricity output and a proportional relation between self-generated electricity and externally purchased electricity in combination with a load prediction curve and a production and repair schedule, and enabling the generation cost of the iron and steel enterprise to be the lowest.

The invention discloses a photovoltaic micro-grid interval optimization scheduling method with multi-time scales, and belongs to the field of renewable energy source micro-grid techniques. The photovoltaic micro-grid interval optimization scheduling method comprises the following steps: by using an interval value description method, describing the intermittency of renewable energy and inaccuracy characteristics of load prediction; meanwhile, by adopting a dual-layer optimization strategy, providing active power instructions for operation of different micro-grid components within 24 hours of a former day and in real time (every 15 minutes); and because of a relatively large amount of indefinite factors in the operation process of a micro-grid and a limited rotation reserve capacity available inside a system, generally confirming positive and negative rotation reserve capacities purchased from a power distribution grid by the micro-grid according to a current scheduling plan, and coordinating operation of different components of the micro-grid. The photovoltaic micro-grid interval optimization scheduling method is capable of solving the problems that the current scheduling is deviated from actual operation situations and the like because of unbalanced micro-grid power, and has the advantages that real-time scheduling can be implemented to comply with the current rotation reserve plans, the plans can be adjusted according to real-time error situations, intermittent energy fluctuation can be balanced, and economic operation of the system can be ensured.

The invention discloses a novel driving system and method of a main feed water pump. The main feed water pump and a steam turbine are arranged in the same layer; an output shaft on the side of a head section of the steam turbine is successively connected with a clutch II, a speed-adjusting gear box, the main feed water pump, a clutch I and an electric motor; an output shaft on the side of the electric generator is successively connected with the clutch II, the speed-adjusting gear box, the main feed water pump, the clutch I and the electric motor. The novel driving system and method have the beneficial effects that reliable running of the main feed water pump at the starting stage of a machine group is ensured and economical running at normal running stage of the machine group is also ensured.

The invention belongs to the technical field of flue gas denitration and relates to a system for denitration by spraying ammonia gas in a large-sized boiler high-temperature flue gas area. A boiler comprises a horizontal flue and a vertical flue. The system comprises an SNCR (selective non-catalytic reduction) system provided with a reducing agent injector, the reducing agent injector is a spray pipe disposed on the transverse section of the horizontal flue, an input end of the spray pipe is connected with a reducing agent conveyer, the other end of the spray pipe is closed, and the wall of the spray pipe opposite to flue gas is provided with a spray hole. The invention also discloses a denitration process for denitration treatment using the system, the denitration treatment with the system gives high denitration rate and low ammonia escape quantity as well as full flue gas purification, this product is applicable to present coal-consuming boilers for thermal power generation, iron and steel, chemicals, cements and the like, and satisfactory NOx emission index of these boilers can be ensured.

The invention discloses an optimal scheduling system for a renewable energy microgrid. The system comprises a data acquisition module, a data storage module, a data modeling analysis module and a regulation interaction module, wherein the data acquisition module is used for storing acquired historical data in a relational database of the data storage module and sending the historical data to the data modeling analysis module; a data processing center in the data modeling analysis module is used for performing data modeling analysis on the historical data to generate a data record sheet, and outputting an energy consumption prediction result to the regulation interaction module; the regulation interaction module is used for formulating an optimal energy scheduling scheme by virtue of a control center of a renewable energy optimal scheduling system. The system is applicable to a microgrid runs in a grid connected or off-grid manner, the optimal scheduling requirement of a complex microgrid system with multiple kinds of energy coexisting is met, an optimal scheduling strategy is made, and the microgrid can run more economically and efficiently.

A self-adaptation excitation control method for a synchronous generator is characterized by including: preliminarily determining a stability domain of each control parameter according to the principle of satiability; combining MAGA (multi-agent genetic algorithm), CMAC (cerebellar model articulation controller) and a PID (proportional-integral-derivative) controller, and using global optimization capability of MAGA for optimization in determined stability domains of control parameters Kp, Ki, Kd, eta and alpha; obtaining the optimal control parameter combination according to certain control objective function minimum principles so as to realize synchronous generator self-adaptation excitation control. By using distributed control of a one-dimensional multi-agent control system, the control parameters can be harmonized and optimized, the problem that intelligent multi-parameter coupling and multiple control parameters are difficult to determine is solved, synchronous generator self-adaptation excitation control is achieved, operation and analysis of a control system are accelerated, and the synchronous generator can be operated economically while safe, stable, economical and reliable operation of a power grid is guaranteed.

The invention relates to a power supply network path planning system of a distribution unit area. The power supply network path planning system comprises a main station system; the main station system is connected with a plurality of field data collection terminals; and each field data collection terminal is further connected with a voltage acquisition meter and a current acquisition meter respectively. The power supply network path planning system of the distribution unit area, provided by the invention, adopts an information and power grid control technology; all the voltage acquisition meters and current acquisition meters in the distribution unit area continuously acquire data according to a layered and partitioned total idea and report the data to the field data collection terminals; then the data is reported to the main station system through the terminals; power distribution of a main line and each branch line in power distribution and power utilization processes of the distribution unit area and power loss of a network are automatically optimized through power distribution line data which is recorded by the main station system in advance, so that the optimization of a power supply network is realized and the line is lowered; economical operation of a power grid of the distribution unit area is guaranteed, energy saving and loss reduction are realized and the problem of eliminating low voltage is realized; and the voltage regulation and control capability of the power grid is improved and the power supply quality is improved.

The invention discloses a flow guide device in a direct air cooling branch-shaped exhaust duct system, which is applied in the field of heat energy power engineering. The device solves the problem of even flow distribution of steam exhaust of a steam turbine among various steam distribution pipes. The device prevents the danger of the freezing of a direct air cooled condenser which is possibly caused by the unreasonable design of the direct air cooling branch-shaped exhaust duct system, and ensures safe operation of the steam turbine in winter. The device ensures that a system prevents the pressure loss of water vapor from being overhigh and the supercooling area from being overlarge, prevents the reduction of heat exchange amount, and reduces the thermal efficiency of power plants when realizing the even distribution of the flow of water vapor. The device fully plays the cooling capacity of various parts of the direct air cooled condenser, and ensures that the steam turbine runs economically in other seasons. For realizing the even distribution of the flow of the water vapor, the distribution of the area of a diversion cross-section depends on the resistances of two branch pipe sections, and a branch pipe with a high resistance should obtain larger diversion area. The device is mainly used for steam diversion and cooling systems of power stations, petrochemical industry, and the like.

The invention belongs to the technical field of steam turbines, and in particular relates to a system and method for monitoring and controlling the final safety flow rate of a steam turbine. Cylinder exhaust pressure value, and according to the pressure value, set the allowable low-pressure cylinder inlet steam parameter and/or low-pressure cylinder extraction parameter value range, and the actual value of the low-pressure cylinder inlet steam parameter and/or low-pressure cylinder extraction parameter The measured values ​​are compared, and when the actual measured value exceeds the allowable value range, the steam intake of the low-pressure cylinder of the steam turbine is adjusted so that the actual measured value is within the allowable value range. The invention effectively solves the problem of monitoring, adjusting and controlling the minimum safe flow rate of the final stage of a large steam turbine, can ensure the safe and economical operation of the unit, and the system has the characteristics of simple structure, safety and reliability.

The invention discloses an electric power system static state estimation method considering PMU branch current phasor. The method is characterized by, to begin with, listing measurement equations according to known data in a system; then, configuring a PMU device to the system according to a requirement for enabling the system to reach observability after calculation; and applying the data obtained by the PMU to the system. The method, mainly based on the PMU data and supplemented by supplement of SCADA data and PMU pseudo-measurement data obtained after measurement transformation as well as PMU-similar data to data of a PMU observability insufficient point, enables the system reach observability, so that the estimation precision of the system is improved. The method can obtain accurate data under the condition of configuring less PMU data, and by making full use of the PMU measurement data, can carry out state estimation better.

The invention discloses a short-circuit current suppression method considering unit start-stop and line switching, which comprises the following steps that firstly, a relational expression of an admittance matrix and short-circuit current is deduced by utilizing a relation between the node admittance matrix and a node impedance matrix and physical significance of node self-impedance; further the change of ground capacitance after the line is cut off and the influence of the switching line and the start-stop unit on the admittance matrix are considered to obtain a short-circuit current explicit expression; from the perspective of global optimization of the power grid, the influence of economy and current limiting measures on the aspects of system power flow, unit output and the like is comprehensively considered, and a mixed integer linear programming method considering explicit short-circuit current constraint is provided by taking the minimum power generation cost, unit start-stop cost and line switching cost as targets; and meanwhile, a day-ahead scheduling problem of a power system is combined, unit output arrangement and line switching are comprehensively optimized by considering short-circuit current constraints, and an optimal unit start-stop and line switching comprehensive scheduling operation scheme is given on the premise of ensuring economic operation.

The invention discloses a multi-energy complementary system day-ahead optimal scheduling method considering maximum new energy consumption. According to the method, aiming at a multi-energy complementary system day-ahead scheduling optimization problem considering new energy consumption, a multi-energy complementary system day-ahead scheduling optimization model is established by taking maximum wind power and photovoltaic power consumption as an objective and solved. The method comprises the specific steps of acquiring output prediction information and electric and thermal load day-ahead prediction information of wind, photovoltaic and other power generation equipment in a day-ahead system; establishing a multi-energy complementary system day-ahead optimal scheduling model considering maximum new energy consumption; and solving the model by using a differential evolution algorithm to obtain day-ahead output plans of various power supplies. According to the multi-energy complementary system day-ahead optimization scheduling method considering maximum new energy consumption, the operation characteristics of various power supplies are comprehensively considered, a day-ahead optimal scheduling plan with the maximum wind power and photovoltaic power consumption as the objective is made, and the consumption level of new energy is improved.

The invention provides a receiving-end power grid flywheel energy storage frequency modulation method and system based on frequency disturbance complementation and belongs to the technical field of receiving-end power grid energy storage frequency modulation control. The method comprises the following steps that: when it is judged that the remaining electric quantity SOCFES of a flywheel energy storage device is smaller than 100%, the required charging capacity HFES-C of the flywheel energy storage device is calculated in real time on the basis of the rated capacity HFES-N of the flywheel energy storage device; according to the frequency fluctuation of a receiving-end power grid, an integral electric quantity HPFC needing to be changed of a unit is calculated in real time; and flywheel energy storage frequency modulation control is performed according to the frequency disturbance condition of the receiving-end power grid, the required charging capacity HFES-C and the integral electricquantity HPFC needing to be changed. According to the method and system of the invention, different frequency modulation control modes are adopted for the flywheel energy storage device and the unit according to different power grid frequency disturbances; the actions of the unit at high frequency are reduced, the service life of equipment such as a unit valve is prolonged; rapid primary frequencymodulation can be achieved through the flywheel energy storage device, flywheel energy storage and economic operation of the comprehensive frequency modulation system of the unit are ensured, and flywheel energy storage and stable operation of the comprehensive frequency modulation system of the unit are achieved.