45results about How to "Reduce peak shaving pressure" patented technology

The invention provides a gridding coordinated planning method of composite energy multi-energy complementation. The method comprises following steps of acquiring current situations of the power grid and energy resource utilization condition information; initial dividing grids in a demonstration area, predicting load and composite energy demands, and correcting a grid division scheme of a geographical information system; formulating constraints and net rack planning rules, constructing a composite energy coordinated development basic model, and formulating a target net rack coordinated planningscheme; formulating a target net rack scheme of each level year and each long-range year, and carrying out composite energy coordinated planning operation management service platform construction; and carrying out economical benefit estimation and providing a demonstration region power distribution network composite energy coordinated development operation mode. According to the invention, the park can be quite properly and rationally planned; a composite energy planning optimal scheme can be obtained; by use of the gridding method of the geographical information system, coordinated planningis carried out, and energy interaction and gradient utilization are achieved; the peak adjusting pressure of the power grid is reduced; and the digestion ability for clean energy is improved.

The invention discloses a real-time power generation plan optimization method with consideration of depth peak regulation of a thermal power generating unit. The method comprises: various power system operation data needed by an existing real-time power generation plane model and related parameter information of depth peak regulation of a thermal power generating unit are obtained, wherein the related parameters include a depth peak regulation discrete output point, a discrete point price, a minimum depth peak regulation time length, and a minimum non-depth peak regulation time length; on the basis of the existing real-time power generation plan model, a related depth peak regulation constraint of the thermal power generating unit is introduced, and a real-time power generation plan optimization model with consideration of depth peak regulation of the thermal power generating unit is generated based on the data obtained at the previous step; and optimized calculation and security checking are carried out on the optimization model to obtain a real-time power generation plan. According to the invention, the output level of the thermal power generating unit in a depth peak regulation state can be optimized automatically based on the ultra-short-term system load and new energy changing situations; on the basis of real-time cooperation with other energy, the power usage demand of the system can be satisfied; and maximum receiving of the system new energy and peak regulation requirements can be met.

The invention discloses a new energy power generation grid-connection comprehensive peak regulation capacity assessment model based on demand side responses. The building processes of the model include the steps of (1) building a comprehensive peak regulation capacity assessment technology platform, wherein the comprehensive peak regulation capacity assessment technology platform is used for achieving acquisition, collection and calculation of peak regulation related data of the whole network, (2) building a peak regulation capacity index system, (3) building indexes related to specific peak regulation capacity and carrying out index statistics or calculation, and (4) on the basis of the peak regulation capacity index system, substituting the specific peak regulation capacity related indexes obtained in the step (3) to form the new energy power generation grid-connection comprehensive peak regulation capacity assessment model based on the demand side responses. The new energy power generation grid-connection comprehensive peak regulation capacity assessment model based on the demand side responses can overcome the defects that in the prior art, wind power output is poor in stability, high in peak regulation pressure and the like, and has the advantages of being good in stability of wind power output and low in peak regulation pressure.

The invention discloses a decision method for rolling optimization of wind and light storage cooperative scheduling. The decision method comprises the following implementation steps of: acquiring day-ahead prediction values of load, wind power of wind power farms and output power of photovoltaic power stations and data such as charging demand of each electric automobile recharging station; arranging a day-ahead plan of a next-day charging plan of each electric automobile recharging station, wherein the plan can meet energy demands of electric automobiles of each electric automobile recharging station and reduce the peak valley difference rate of equivalent load curves, so that the peak pitching pressure of the conventional machine sets is reduced, and the energy access level of renewable energy is improved; and continuously modifying the rolling of the charging plan of each electric automobile recharging station in rest time period of a current day in real time through the updated predication data acquired every hour such as the load, the wind power of the wind power farms and the output power of the photovoltaic power stations of the rest time period of the current day in the operation of the current day, so that the problem that an actual equivalent load curve smoothing effect of the current day is weakened by the charging plan of each electric automobile recharging station due to prediction errors is solved as possible.

The invention relates to a home user intelligent power use mode scheduling method. The method comprises the steps of constructing the classification model of a home user load, constructing the satisfaction model of a user to a home appliance, constructing a user power consumption cost model, constructing the overall average satisfaction model of the user, constructing an intelligent power dispatching overall model, and solving the constructed model through CPLEX and obtaining the scheduling scheme which is most suitable for a home user intelligent power use mode. Through the detailed classification of the home user load, the load can be reasonably and efficiently scheduled, a real-time power pricing mechanism is used to carry out requirement response of a user, on the basis of considering photovoltaic power generation, the problems of electricity cost and satisfaction concerned by the user are comprehensively considered, the economic efficiency of the user is improved.

The invention discloses a power generation and power consumption organizing method and device based on a peak regulation assistance service market. According to a daily delivery curve and peak regulation power consumption curves of a C-G direct trading contract submitted by a power consumer and declarations of wind power enterprises and thermal power generating units, a market clearing model containing power consumer peak regulation assistance is built, and after market clearing is conducted, the peak regulation power consumption curve of each low-ebb peak regulation period is obtained; finally, according to potential adjustable peak electric quantity of the thermal power generating units with the potential adjustable peak electric quantity and reduced abandoned wind electric quantity of the wind power generating units with the abandoned wind electric quantity being reduced, the problems that in an existing power consumer and electric generator set direct dealing mode, the customer lacks of participation in peak regulation assistance and the load peak regulation interruption involved range is narrow are solved. According to the method and the device, on the basis of conventional electricity market dealing, the power consumer can directly participate in the peak regulation assistance service market, the peak regulation potential of the consumer is stimulated, and the abandoned wind electric quantity of the whole power grid is reduced.

The invention relates to an electric vehicle charging station recommendation method considering multiple factors and multiple scenes, and belongs to the field of electric vehicle charging. The methodcomprises the steps of acquiring the current SOC and position of a vehicle of a user in real time; respectively entering an active recommendation mode and a passive recommendation mode according to whether a user initiates a charging recommendation request or not; in the active recommendation mode, when the current SOC of the vehicle is smaller than a set threshold value; or in the passive recommendation mode and when the user does not set the charging target, calculating and storing the score of each charging station according to the index value corresponding to each charging station and thecurrent weight corresponding to each index, and finally the charging station recommendation result of the user is obtained. Multiple factors are comprehensively considered, user preferences are combined, the distribution network load rate, the user behavior scene and the user application scene are considered, multiple targets such as the shortest user charging time, the lowest charging cost and the most balanced power grid load are achieved, and a recommendation scheme is intelligently provided for the user.

The invention discloses a short-term peak regulation scheduling collaborative optimization method and system for a cascade hydropower station group, and belongs to the fields of efficient water resource utilization and water and electricity dispatching. The method comprises the following steps of randomly generating an initial population, and then evaluating the fitness value of each individual and updating an individual extreme value and a global extreme value; utilizing the gauss neighborhood search to improve population global exploration capability, utilizing an elitist guiding strategy toenrich the evolution directions, utilizing a random variation strategy to improve the individual diversity, repeating the above process until a search stopping condition is met, and using a population global extreme value obtained when the maximum iteration number as an optimal scheduling process of the cascade hydropower station group. Compared with a traditional hydroelectric power dispatchingmethod, the method has the advantages of being high in convergence speed, low in programming implementation difficulty, high in global searching capacity and the like, a reasonable and feasible dispatching scheme can be rapidly obtained, and an effective method is provided for the short-term peak regulation dispatching of the cascade hydropower station group.

The invention discloses a coordinated peak regulation method for a cascade hydropower station group and a wind-solar power station in a high-hydropower-specific-gravity system, and considers the uncertainty of the output of the wind-solar power station, and utilizes the advantage that the output of the cascade hydropower station group is adjustable to stabilize the load fluctuation as much as possible and reduce the peak regulation pressure of a thermal power generating unit by increasing the capacity of the system for receiving the output of the wind-solar power station. A proposed coordinated peak regulation optimization operation strategy of the cascade hydropower station and the wind-solar power station gives consideration to the convenient solving of a model, and performs the linear processing on a nonlinear hydropower conversion function; by utilizing the advantage that the output of the cascade hydropower group is adjustable, the method improves the wind-solar receiving capability of the system, achieves the coordinated peak regulation of the cascade hydropower group and the wind-solar power station, and reduces the thermal power peak regulation pressure.

The invention discloses a wind power-containing electric power system spinning reserve optimal configuration method considering demand response. The method comprises steps of 1, performing modeling analysis calculation according to uncertainty of wind power output and a load to obtain initial spinning reserve capacity of a power system; 2, performing calculation to obtain load side reduction spinning reserve capacity according to an interruptible load model and a translatable load model; 3, analyzing the initial spinning reserve capacity and the reduced spinning reserve capacity to determine the optimized spinning reserve capacity; and 4, solving the optimized spinning reserve demand by adopting a Matlab toolbox YALMIP programming solving method to obtain optimal configuration of the spinning reserve demand. The method is advantaged in that stable operation of the power grid is guaranteed, operation economic performance of an electric power system can be improved, the spinning reservecapacity is provided, wind power consumption is promoted, and high engineering applicability is achieved.

The invention discloses a DC sending-end hydropower station optimal scheduling method compatible with receiving-end power grid peak regulation requirements. The method comprises the steps: carrying out modeling construction on the hydropower short-term optimization scheduling problem to obtain a mathematical model; after calculation conditions are set, linearizing an objective function firstly, performing linearization processing on nonlinear objective constraints on the premise that precision is allowed, and then converting an original highly-non-convex mixed integer nonlinear programming model into a mixed integer linear programming model, and solving the model on the basis of the mixed integer linear programming model through employing an optimization solver. The model provided by theinvention has relatively high calculation efficiency; the formulated power transmission plan effectively responds to the peak regulation demand of each receiving-end power grid, the peak-valley difference of the power grid is remarkably reduced, the power transmission limitation of the direct-current tie line is met, the executability of the direct-current tie line plan is improved, and the trans-regional coordinated operation of the sending-end hydropower station, the high-voltage direct-current tie line and the receiving-end power grid is realized.

The invention discloses a new energy station energy storage configuration calculation method and system. The method comprises the steps: designing a standardized supply curve for different new energy installation scales, i.e., configuring a new energy station planned output curve after energy storage, and building a supply curve deviation degree index. By weighing the energy storage investment cost and the supply curve deviation cost, a new energy station energy storage configuration optimization model is established, the model can calculate the optimal capacity ratio between the new energy and the stored energy under the condition of the existing new energy installation scale and the load level of the power system, and on the premise of ensuring the energy storage investment economy, the peak regulation pressure of the new energy on the power system is reduced, and the new energy consumption is promoted.

The invention belongs to the technical field of power grids and particularly relates to a method for minimizing a peak-valley difference by coordinating an electric heat storage load with battery energy storage, and the power grids can minimize the peak-valley difference by coordinated operation of the electric heat storage load and the battery energy storage. The method includes the following steps: performing data acquisition; performing prediction calculation on a household load during a peak period; calculating influence of electricity price A on an added electric storage heat load at a valley moment; calculating charging and discharging coefficients of the battery energy storage; calculating charging and discharging time of a storage battery; and performing calculation on the method for minimizing the peak-valley difference according to the influence factors and period and valley moments. The method can alleviate the peak load regulating pressure of a unit, and can relieve outputof a heat power unit at the peak moment, so that the peak load regulating pressure of the heat power unit is reduced. A corresponding electricity price can be made from difference of electricity consumption in different periods, peak load shaving can be performed by combination of the storage battery, and the peak-valley difference is minimized.

The invention relates to a production running method of a power system. The production running method comprises the following contents of 1) respectively acquiring a day-ahead forecast load curve P<load[1*n]> of the power system, a day-ahead forecast daily output curve P<outp, NER[1*n]> of renewable power and day-ahead forecast daily output curves P<outp, oth[1*n]> of other types of power stations except a thermal power station, a pumped storage power station and the renewable power if daily data acquisition frequency of the power system is n; 2) calculating to obtain a daily net load curve P<load, net[1*n]> which is required to be borne by the thermal power station and the pumped storage power station; 3) calculating to obtain starting capacity required by a thermal power generation unit; 4) carrying out starting arrangement on the thermal power generation unit and further determining minimum output P<outp, thermal, min> of the thermal power generation unit on the basis that the starting capacity P<load, thermal> required by the thermal power generation unit is met; and 5) obtaining an abandoned power curve DeltaP<outp, NER[1*n]> of the renewable power according to the minimum output P<outp, thermal, min> of the thermal power generation unit, and carrying out energy-saving optimization on the daily running mode of the pumped storage power station. By the production running method, the high-proportion renewable power can be absorbed, the peak shaving pressure of the thermal power generation unit is reduced, and the purposes of energy saving and emission reduction are achieved.

The invention discloses a two-stage optimization operation method and system for a scene analysis-based integrated energy system and the method comprises the steps: building a day-ahead stage optimization model based on the prediction reference value of each energy and load with the lowest day-ahead operation cost as an objective function; constructing an intra-day stage optimization model by taking the minimum increment expected value or the maximum decrement expected value of the day-ahead cost in an intra-day actual operation scene as an objective function; acquiring a global optimal operation scheme by the day-ahead stage optimization model and the intra-day stage optimization model; wherein an actual operation scene is cut down through a multi-parameter fast forward selection method so as to improve the optimization speed. The invention has the advantages of being high in optimization speed, good in economical efficiency, good in inclusiveness and the like.

The invention discloses a power generation and power consumption organizing method and device based on a peak regulation assistance service market. According to a daily delivery curve and peak regulation power consumption curves of a C-G direct trading contract submitted by a power consumer and declarations of wind power enterprises and thermal power generating units, a market clearing model containing power consumer peak regulation assistance is built, and after market clearing is conducted, the peak regulation power consumption curve of each low-ebb peak regulation period is obtained; finally, according to potential adjustable peak electric quantity of the thermal power generating units with the potential adjustable peak electric quantity and reduced abandoned wind electric quantity of the wind power generating units with the abandoned wind electric quantity being reduced, the problems that in an existing power consumer and electric generator set direct dealing mode, the customer lacks of participation in peak regulation assistance and the load peak regulation interruption involved range is narrow are solved. According to the method and the device, on the basis of conventional electricity market dealing, the power consumer can directly participate in the peak regulation assistance service market, the peak regulation potential of the consumer is stimulated, and the abandoned wind electric quantity of the whole power grid is reduced.

The invention discloses a straight condensing unit with phase change energy storage. The straight condensing unit comprises a steam turbine, a generator in transmission connection with a rotating shaft of the steam turbine, a condenser communicating with a main outlet of the steam turbine and a phase change energy storage device capable of exchanging heat of internal flowing fluid and storing heat. A high-temperature port of the phase change energy storage device communicates with a steam inlet of a steam pressure cylinder of the steam turbine, a low-temperature port of the phase change energy storage device is connected with a supply device used for conveying fluid into the low-temperature port, and the low-temperature port is further connected with an energy storage and drainage switching valve. According to the straight condensing unit with the phase change energy storage, the phase change energy storage device can separate out a part of high-heat high-pressure fluid for heat storage in the valley period of a power grid, energy is released in the peak period of the power grid, and then the energy enters the steam turbine to convert heat energy into rotating mechanical energy to be output, so that correction and compensation are carried out on the peak-valley period of power utilization of the power grid, and the peak regulation pressure is reduced; and meanwhile, the energy utilization efficiency is improved.

The invention discloses a source network load storage cooperation method and system. The source network load storage cooperative service system generates and sends a cooperative response instruction according to the predicted power cooperative capability of the client side source network load storage cooperative unit sent by the network controller, so that when the network controller determines that the power adjustment target value carried by the cooperative response instruction exceeds the maximum value of the current power cooperative capability of the client side source network load storage cooperative unit, the maximum value of the current power cooperation capability is taken as a power adjustment plan value, and then the source network load storage cooperation service system determines a response income prediction amount according to the power adjustment plan value; the source network load storage cooperative service system sends the power adjustment plan value and the responseincome prediction amount to the client of the client side source network load storage cooperative unit; and when response confirmation information sent by the client is received, the power adjustmentplan value is sent to the network controller, so that the network controller adjusts the power of the equipment in the client-side source network load storage cooperation unit according to the power adjustment plan value.

The invention discloses a current-voltage compensation system combining a compensation transformer and an energy storage module, and the system comprises a multi-tap compensation transformer module which is used for taking power from a power grid and then compensating the voltage of a power supply line so as to enable the voltage of the tail end of the line to meet the standard; an energy storagemodule which is connected with a three-phase line and a neutral line of a power supply line and is used for realizing peak-valley load adjustment; and a control module which is connected with the multi-tap compensation transformer module and the energy storage module and is used for detecting voltage and current information of the power supply line, generating a control instruction and controllingthe multi-tap compensation transformer module and the energy storage module according to the control instruction. The independent adjustment of the three-phase voltage can be realized, the adjustmentis bidirectional, the compensation transformer can be supported to work normally at the peak of power utilization through the peak regulation effect of the energy storage module, and the applicability is higher.

The invention discloses a decision method for rolling optimization of wind and light storage cooperative scheduling. The decision method comprises the following implementation steps of: acquiring day-ahead prediction values of load, wind power of wind power farms and output power of photovoltaic power stations and data such as charging demand of each electric automobile recharging station; arranging a day-ahead plan of a next-day charging plan of each electric automobile recharging station, wherein the plan can meet energy demands of electric automobiles of each electric automobile recharging station and reduce the peak valley difference rate of equivalent load curves, so that the peak pitching pressure of the conventional machine sets is reduced, and the energy access level of renewable energy is improved; and continuously modifying the rolling of the charging plan of each electric automobile recharging station in rest time period of a current day in real time through the updated predication data acquired every hour such as the load, the wind power of the wind power farms and the output power of the photovoltaic power stations of the rest time period of the current day in the operation of the current day, so that the problem that an actual equivalent load curve smoothing effect of the current day is weakened by the charging plan of each electric automobile recharging station due to prediction errors is solved as possible.

The invention discloses a wind power grid-connected accommodation method considering DC modulation, which specifically includes the following steps: Step 1, based on the operating characteristics of DC modulation, with the goal of minimizing the comprehensive operating cost of the "source-grid-storage" system, construct a "Source-grid-storage" coordination and interaction model of wind power, thermal power, DC modulation, and energy storage systems; step 2, based on wind power fluctuation characteristics, determine the wind power grid-connected consumption strategy for "source-grid-storage" coordination and interaction; step 3 , according to the linear programming simplex algorithm to solve the "source-network-storage" coordination interaction model; step 4, based on the solution results, output the optimal wind power consumption strategy for reference by dispatchers. The invention can fully release the wind power consumption potential of the power grid, reduce the wind power abandonment rate and the unit climbing pressure, improve the peak-shaving ability of the power grid, and reduce the impact of large-scale wind power grid integration on the power grid, which is of great significance to the safe and stable operation of the power grid and engineering practical value.

An embodiment of the present invention provides a method and a device for optimizing a transmission plan of a direct current channel. The method includes: using a sunrise force of a conventional generating unit in a sending terminal region to construct an expression function of the sending terminal region's downward peak shaving capability; using a sunrise force of a conventional generation unit in a receiving terminal to construct an expression function of the receiving terminal region's downward peak shaving capability; performing weighted summation of the expression function of the sending terminal region's downward peak shaving capability and the expression function of the receiving terminal region's downward peak shaving capability to construct a target function with the maximum comprehensive downward peak shaving capability as the target; determining the sending terminal region's daily load predicted value, the new energy sunrise force predicted value and the receiving terminal region's daily load predicted value; determining a planned value of a power transmission day from the sending terminal region to the receiving terminal region. In the embodiments of the present invention, the peak shaving resources of the power grids in the sending terminal region and the receiving terminal region are fully comprehensively planned and the peak shaving pressure in the sending terminal region due to the fluctuation of output of new energy sources is effectively reduced. When the output of new energy sources is relatively large, the new energy consumption of the sending terminal region and the new energy transportation proportion of the channel are improved.

The invention relates to the technical field of electric power automation, and provides a source network load storage interactive transaction method and system based on price excitation, and the method comprises the steps: carrying out the listing and picking of a first stage and a second stage to auction the electric quantity when the interactive transaction is carried out; after the interactive transaction is carried out, the electricity purchasing party carries out daily decomposition on the electric quantity obtained by the transaction according to the new energy processing prediction to obtain a daily target control curve; outside the interactive transaction time, the new energy power generator and the traditional power generator perform contract transaction through transaction types including medium-and-long-term market transaction and day-ahead market transaction; and after the time specified by the contract is over, the transaction center determines the electricity price according to the implementation degree of the electricity purchasing party for the daily target control curve and performs clearing. Adjustable resources on a user side can be mined through a marketization means, flexible and diverse transaction means are provided, and source network load storage interaction is guided, so that the new energy utilization rate is increased, and the peak regulation pressure of a power grid is reduced.

The invention relates to the technical field of heat energy power, in particular to a stepped steam generation device based on an ultrahigh-temperature heat pump, which comprises a high-temperature heat pump subsystem, a steam generation subsystem and a low-quality heat recovery subsystem, the high-temperature heat pump subsystem comprises a compressor, a motor, a high-temperature and high-pressure steam generator, a high-temperature heat regenerator, a medium-temperature and medium-pressure steam generator, a medium-temperature heat regenerator, a low-temperature heater, a low-temperature expansion machine, a low-temperature heat absorber and a medium-temperature heat absorber; the motor is connected with the compressor. Therefore, expansion work of a compressed gas working medium is effectively utilized, the temperature of an inlet of the low-temperature expansion machine is effectively reduced, the temperature of an outlet of the low-temperature expansion machine in the system is low, low-pressure steam condensation phase change heat absorption is achieved, low-temperature water is generated for storage and standby application, and multi-stage stepped energy storage is achieved. The steam turbine outlet dead steam energy is recycled to the maximum degree, and economic benefits are improved.

The invention belongs to the technical field of power grids, and in particular relates to a method for coordinating and maximizing the electric heat storage load and battery energy storage to reduce the peak-valley difference, which is to reduce the peak-valley difference of the power grid to the greatest extent through the coordinated operation of the electric heat storage load and battery energy storage Difference. The present invention includes data acquisition; forecast calculation of household load during peak hours; calculation of the influence of electricity price A on the increase of electric heat storage load at low valley times; calculation of battery energy storage charge and discharge coefficient; calculation of battery charge and discharge time; according to the above influencing factors and At peak and trough moments, it is calculated by minimizing the peak-to-valley difference. The invention can alleviate the peak regulation pressure of the unit, and can relieve the output of the thermal power unit at the peak time, so that the peak regulation pressure of the thermal power unit is reduced. It is possible to formulate corresponding electricity prices based on the difference in electricity consumption in different periods, and through the cooperation of batteries to cut peaks and add valleys, the difference between peaks and valleys can be minimized.

The invention discloses a control method for optimizing thermal power peak shaving through battery energy storage coordinated electric heating. In one embodiment of the invention, the control method comprises the following steps: in a peak period, judging whether the SOC (state of charge) of a battery energy storage system is greater than a preset SOC minimum value or not; if the SOC of the battery energy storage system is greater than the preset SOC minimum value, controlling a heat storage device to execute a heat release action to meet the thermal load demand, and controlling the battery energy storage system to discharge to increase the peak-valley price difference income; and if the SOC of the battery energy storage system is smaller than or equal to the SOC minimum value, controllingthe heat storage device to execute a heat release action to meet the heat load requirement, and meanwhile, controlling the battery energy storage system not to act. According to the embodiment of theinvention, by arranging a heat storage type electric boiler, the electric quantity can be consumed, and heat can be supplied in the heating period.

The invention relates to an air conditioning nonlinear group load operation active demand energy storage design method, belonging to the technical field of control system. In combination with the characteristics of start-up, operation and energy consumption of air conditioning nonlinear group load, considering the demand pressure of peak load regulation and dispatching reserve capacity, the methodproposes a scheme of energy storage participating in harmonic treatment and energy dispatching of nonlinear group load operation. At first, the power required for harmonic process is calculated on the basis of analyzing the harmonic component of the nonlinear group load operation; Secondly, in combination with the practical feasibility of energy-saving operation dispatching of multi-load and gridfault and peak-valley compensated energy active demand, the peak-valley compensated energy storage capacity is calculated. Finally, in combination with the above two functional requirements, the total energy storage capacity is configured, energy scheduling management design is performed. The invention has reasonable configuration of energy storage and reasonable dispatching strategy, and can realize active demand management of nonlinear group load operation.