51results about How to "Improve wind power absorption capacity" patented technology

The invention, which belongs to the grid-connected optimization operation field of the new energy, relates to a combined system energy optimization method with consideration of wind power consumption; and thus in order to solve a wind curtailment problem, the combined system energy optimization method uses a cogeneration system based on combined operation of a wind power-electric energy storage-heat accumulating type electric boiler and takes economic optimum as an objective to reduce the wind-curtailment power effectively by increasing the load space. To be specific, the method comprises the following steps: (1), establishing an overall system framework including a conventional thermal power generating unit, a cogeneration unit, a wind turbine generator, an electric energy storage and heat accumulating type electric boiler; (2), carrying out comprehensive modeling of a cogeneration system; (3), establishing an optimal economic objective function; (4), establishing a power and heating power balancing relationship and operational constraints of all units during the operation period of the cogeneration cooperation system; and (5), carrying out optimization for active power outputs of all units. Therefore, development and utilization of the wind power are promoted; and power supply reliability of the power system is improved. The method can be applied to large-scale-wind-power-included provincial companies of all stages and has the broad application prospects.

The invention provides a wind power optimizing scheduling method based on power forecast, which is applied to a power scheduling operation schedule solution containing wind power. In the method, the power forecast curve of a wind power station are utilized; the peak regulation capacity and the safe and stable limit of a system are calculated, so that scheduling of total output of the wind power within the scheduling range is divided into restricted time interval scheduling and non-restricted time interval scheduling; for the non-restricted time interval scheduling, the error scope of the forecast power generation is considered based on a forecast power generation curve; and for the restricted time interval scheduling, wind power forecast errors are considered based on the restriction of the aggregate limit of the wind power stations and the forecast power generation output of each wind power station, thus optimizing power generation power limit value allocation of each wind power station, so that the system can maximally digest the wind power under the condition of meeting the requirement of safe and stable operation. A wind power scheduling curve is executed by the power generation of the wind power station so as to strength safety and stability of the power grid operation, intensify the digestion capacity of the wind power and maximally utilize the wind power.

The invention discloses a regional integrated energy system operation optimization method, which is applied to the technical field of new energy resources and microgrids. The regional integrated energy system operation optimization method comprises the steps of: firstly, establishing a regional integrated energy system operation optimization model of an objective function taking a maximum wind power consumption amount as an optimization object and taking a minimum operation cost of a regional integrated energy system as an optimization object; and secondly, restricting cold and thermoelectricload of the model, equipment operation, electric energy storage system and transferable load, and solving the objective function under the existing constraint conditions. The regional integrated energy system operation optimization method can exchange a small amount of load transfer cost for lower integrated energy system operation cost and higher wind power consumption capacity, and improves theoperating conditions of a controllable unit in the system.

The invention discloses a combined heat and power scheduling method for improving wind power consumption and based on a cooperative game. The combined heat and power scheduling method comprises the steps that a cooperative game model of a heat power plant, a wind power plant and a thermal power plant is constructed, and a participant operation strategy is given; then the expected economic benefitunder the cooperative game is analyzed; a maximum net benefit model of participants is established, and a benefit distribution model under the cooperative game is calculated; then a boiler start-stopcontrol strategy and a thermal storage device heat-storage heat-release model are constructed through the residual thermal space and the wind abandoning electric quantity; and finally, dynamic inertiaweight and a compression factor improved particle swarm optimization algorithm is introduced to solves the model. The combined heat and power scheduling method for improving the wind power consumption and based on the cooperative game can improve the benefit of the participants and improve the utilization rate of the wind power while ensuring the operational reliability of a system. In the cooperative game, the benefit of the participants can be improved and the wind power utilization rate is increased.

The invention discloses a combined power generator set scheduling operation method. The method comprises the following steps that the number and the operation parameters of thermal power generator sets, wind turbine generator sets, nuclear power generator sets and pumped energy storage generator sets of an electric power system are acquired, and the load model and the wind power prediction data ofthe electric power system are acquired; an optimized set combined scheduling operation method model is established according to the number and the operation parameters of the thermal power generatorsets, the number and the operation parameters of the wind turbine generator sets, the number and the operation parameters of the nuclear power generator sets and the number and the operation parameters of the pumped energy storage generator sets in the electric power system and the load data and the wind power prediction data of the electric power system; and the set combined operation result of the maximized power grid revenue and the maximized wind power consumption is calculated according to the optimized set combined scheduling operation method model. The method is more favorable for powergrid scheduling so as to meet power grid revenue maximization and wind power consumption capability maximization.

The invention discloses an optimal scheduling method considering wind power-heat storage unit-electric boiler combined operation. The method comprises the steps of 1, establishing a wind power unit model, a thermal power unit model, a combined heat and power generation unit model, a heat storage unit model and an electric boiler model; 2, taking minimum system comprehensive cost as a target, constructing a wind power-heat storage unit-electric boiler combined operation optimization model, and configuring capacities of the heat storage unit and an electric boiler; 3, considering system constraints, unit constraints, heat storage and electric boiler constraints, predicting error cost constraints and environmental penalty cost constraints, and carrying out output configuration of each deviceof the system by taking lowest total cost of system operation as the target; and 4, when wind curtailment exists, enhancing the output of the heat storage and the electric boiler; and during valley wind, reducing heat storage and the output of the electric boiler, and increasing a wind power consumption capacity. In the method, the environmental penalty cost is added into the model, and a description method of thermal power and thermoelectric unit operation cost is improved so that a scheduling model is closer to an actual situation.

The invention relates to the technical field of wind power dissipation, in particular to a unit combination method considering deep peak load regulation of a thermal power unit under the condition ofgrid connection of wind power, in particular to a method for improving peak load regulation capacity of the thermal power unit under the condition of grid connection of wind power. Including: unit commitment algorithm; Objective function of unit commitment; Constraints of unit commitment; Solution of unit commitment; Operation Flow of Unit Commitment. Under the condition of large-scale wind powergrid connection, the invention considers that a certain reserve is reserved for the wind farm to balance the change of the wind power output. When the load is low, the conventional power plant unit has been adjusted to a lower output, if the wind farm output increases significantly at this time, the acceptance of wind power will be limited, resulting in wind power discarding limit. Genetic algorithm is used to find the global optimal solution, and the economy of deep peak shaving scheme is analyzed under the condition of large-scale wind power grid. Solve the problem of not abandoning the windabsorption, save the thermal power unit power generation cost, so that 'deep regulation absorption' is feasible.

The invention discloses an optimal tide calculation method for wind power plant connected VSC-HVDC which includes the following steps: establishing the active power output model of wind farm and considering the mathematical model of VSC-HVDC. The auto-regressive moving average model and the scene reduction strategy based on Kantorovich distance are adopted to simulate the uncertainty of the wind power, and a finite number of wind power scene sets are obtained according to the power model of the wind farm. An interior point method is used to analyze the finite set of wind power scenarios and the mathematical model of VSC- HVDC is used to calculate the optimal power flow, and the numerical characteristics of the output variables are obtained. The invention discloses a wind farm grid-connected VSC-HVDC optimal power flow computation method can effectively solve the problems that the existing technology can not obtain accurate digital characteristics of output variables, the computation process is complex and the computational efficiency is low. The embodiment of the invention also discloses an optimal tide calculation device for wind power plant connected VSC-HVDC.

The invention discloses a power transmission network frame planning method considering different functional attributes. The method comprises the following steps: constructing a new energy output and load model of a to-be-planned power grid according to acquired wind speed data; calculating to obtain a plurality of wind power output typical scenes; establishing a multi-target power transmission network structure planning model according to four functional attributes of new energy consumption, load center power supply, water and electricity delivery and channel interconnection of the power grid;solving the model according to the wind power average output per unit value in each typical scene, the average load size in each typical scene and the occurrence probability of each typical scene; obtaining a plurality of grid structure planning schemes, then calculating the closeness of each scheme by adopting a multi-objective decision-making method based on entropy weight, and taking the scheme with the maximum closeness as a target scheme. According to the design, different functional requirements of the power grid can be met, the power supply reliability, the wind power absorption capacity and the regional power grid power transmission capacity of the power grid are remarkably improved, and meanwhile the calculation time is shortened.

The invention relates to an ultra-short-term wind electricity power prediction method based on dynamic correlation characteristics and belongs to the technical field of wind electricity power prediction. The method furthest utilizes the dynamic correlation characteristics of a wind electricity power time sequence, and makes accurate predictions by fully utilizing the recent change characteristics of wind electricity power on the basis of mastering the change rules of wind electricity power at different moments. The method can perform rolling prediction of wind electricity power in 0-4 hours, with the time interval being 15 minutes. The prediction method can guarantee the safety and stability of the operation of power grids, improve the wind electricity absorption capability and operation management efficiency of power grid companies, promote energy conservation and emission reduction, and bring huge economic and social benefit and has a favorable application prospect.

The invention relates to a wind power dissipation scheduling method of cogeneration system based on electricity price-load linkage response. According to the method, a real-time electricity price mechanism is introduced, a new real-time electricity price is generated according to load change, the new real-time electricity price guides a power user to respond, load and real-time electricity price linkage response is achieved so as to guide the market behaviors among the main bodies of the power market and transfer the load across time periods. An electric boiler is installed in a heat load center so as to decouple the restraint of determining the electricity by heat, thereby reducing the heat energy loss in the transmission process. In the process of target optimization, the optimal coordination control of the daily load integral dynamic transfer across time periods and the thermal electrolytic coupling is achieved, so that the difference between the network cost and the auxiliary service cost of the abandoned wind is absorbed to the greatest extent, the wind energy is absorbed to the greatest extent, and meanwhile, the load peak-valley difference is reduced.

The invention relates to the technical field of virtual power plant optimization, in particular to a virtual power plant optimization scheduling method considering electricity-to-gas coordination, which comprises the following steps: introducing a carbon capture power plant electricity-to-gas gas unit coordinated operation framework into a virtual power plant, and constructing a virtual power plant system; performing combined scheduling operation of a carbon capture power plant, a waste incineration power plant and wind and light in a virtual power plant, optimizing a virtual power plant system by taking the carbon capture power plant and the waste incineration power plant as controllable units, and establishing a virtual power plant optimal scheduling model; and solving the virtual powerplant optimal scheduling model by adopting a reverse cotangent composite differential evolution algorithm. CO2 captured by carbon can be used as an electricity-to-gas raw material, and generated natural gas is supplied to a gas unit; and the carbon capture energy consumption and the flue gas treatment energy consumption are subjected to load transfer through combined scheduling so as to stabilizerenewable energy fluctuation, so that the wind power photovoltaic is indirectly schedulable and is flexibly utilized, and internal resources are more effectively utilized.

The invention relates to the technical field of electric power, in particular to a multi-energy system combined installation planning method based on global benefit maximization. The method comprisesthe steps of constructing a pumped storage power station joint planning model; solving the planning model by using a two-layer optimization method; and obtaining a system planning result by using a Cplex optimization software. According to the method, the wind power absorption capacity of the northern areas can be improved, the disturbance rejection capacity and the wind power absorption capacityof the system are improved on the premise of considering the company benefits and social benefits, and the peak regulation capacity of the system after wind power grid connection is improved. The method also consider the factors, such as the fluctuation of the system load and the wind power, a power supply structure, the power grid peak shaving capacity, the influence of the wind power on the peakshaving capacity after the power wind accesses in a power grid, etc., comprehensively, and can quantitatively evaluate the limitation degree of the power grid peak shaving on the wind power acceptance capacity. The method is helpful for meeting the energy-saving and environment-friendly, clean energy admission and other political demands in China, and can be used for improving the power grid power supply structure in China, reducing the power generation cost and improving the safe and stable operation capability of the power grid.

The invention discloses an overall process quantification assessment method of wind power priority scheduling evaluation. Through combining scheduling operation, new energy, a scheduling plan, a mode and working contents of each professional automation chamber and successively through wind resource evaluation, wind power prediction evaluation, a wind power plan and fire, water, and electricity adjustment plan evaluation, real-time operation evaluation and wind abandoning electricity limiting evaluation, wind power priority scheduling work is comprehensively evaluated and pre-evaluation in advance of the wind power priority scheduling work is realized. Through comprehensive analysis of current immediate assessment and post assessment, the wind power scheduling work is guided and a wind power absorption capability is increased.

The invention provides a wind farm power coordinative control method and system. The wind farm power coordinative control method is characterized in that the method includes steps: determining a reactive control work mode of a wind farm according to a power dispatching instruction; calculating a reactive loss of the wind farm; calculating a total reactive demand of the wind farm according to the reactive control work mode of the wind farm and the reactive loss of the wind farm; and distributing the total reactive demand of the wind farm according to a preset total reactive demand distributionrule of the wind farm, determining whether the total reactive demand of the wind farm exceeds a reactive output limit of a wind turbine generator system, bearing all the total reactive demand of the wind farm by the wind turbine generator system if not, and bearing the total reactive demand firstly by the wind turbine generator system and an excess portion by a reactive compensation device if yes.According to the technical method, the power grid friendliness of the wind farm is improved, the safe and stable operation level of the power grid of wind power massive centralized access regions isimproved, and the improvement of the wind power consumption capability of the power grid is promoted.

The invention relates to a micro-grid day-ahead optimal scheduling method considering risks. The method comprises the following steps: step 1, uncertainty modeling: establishing an uncertainty model of distributed power supply forced outage and wind power output power based on scene analysis, then selecting a synchronous back substitution elimination technology to carry out scene reduction, and carrying out clustering combination or elimination on a part of scenes with relatively low occurrence probability; step 2, optimization scheduling modeling; and step 3, carrying out simulation tests, setting beta values to be 0.1-0.9, and carrying out the simulation tests respectively to obtain a comparison table of system operation costs, risk values and total operation costs of different beta values, thereby obtaining the beta value with the minimum total operation cost. The invention relates to a micro-grid day-ahead optimization scheduling method of a microgrid considering risks, and provides a micro-grid day-ahead random optimization scheduling model considering risks, which is used for flexibly scheduling various energy sources in the microgrid. Meanwhile, the risk level coefficient isused for controlling the operation risk value of the microgrid day-ahead scheduling strategy. The validity of the proposed model is verified in a microgrid simulation system.

The invention provides a wind power cluster prediction method and device. The wind power cluster prediction method comprises the steps of selecting a numerical weather prediction point location according to a pre-divided wind farm region; building a regional power prediction model according to the numerical weather prediction point location; and calculating a power prediction value of the power grid according to the regional prediction model. The wind power cluster prediction device comprises a selection unit, a calculation unit and a modeling unit. The technical scheme provided by the invention can accurately and comprehensively predict the regional wind power, and provides reliable technical support for improving the wind power absorption capacity of the whole province.

The invention discloses an electric power system unit combination optimization method considering wind turbine generator frequency modulation control, and belongs to the field of electric power systems. According to the method, overspeed load shedding and virtual inertia control are adopted for a wind turbine generator, and fan frequency modulation factors are taken into consideration in dynamic frequency constraint power system unit combination strategy research. When the combination mode under the conventional constraint of a thermal power generating unit does not meet the frequency limit value requirement, the fan can be controlled within a fan load shedding constraint range, so that the wind turbine generator has the frequency modulation capability, and the system inertia is improved.

The invention belongs to the technical field of wind power absorption, and particularly relates to an intelligent layer control method of a large-scale electrical heat storage unit. In an electric-thermal coupling system, the running flexibility of a power system is effectively improved by a large-scale heat energy device, and the improvement of the wind power absorption capability of the system is achieved. The intelligent layer control method comprises the steps of electric heat storage unit layer control strategy, optimization problem building and example analysis. By control of the heat storage unit, local control and remote control strategy of the heat storage unit is achieved, a heat storage load is incorporated into daily dispatching plan at a power grid dispatching side, direct control of a power grid is achieved by an automatic power generation control, and an electrical heat comprehensive dispatching model of the power system containing a large-scale heat storage unit is built; and by actual data of the power grid, the improvement effect of the built model on the wind power absorption capability is simulated and analyzed, the running differences under different control strategies are compared and analyzed, the electric quantity benefit under the model is analyzed, so that effectiveness is verified.

The invention provides a power distribution method and system for a wind power cluster. The method comprises the following steps that: based on the grid-level dispatching instruction, the optimal windpower output of the wind farm cluster layer is determined by utilizing the preset active power coordinated distribution strategy; Based on the optimal wind power output of wind farm cluster layer, the optimal wind power output of sub-field layer is determined by using the pre-determined active power coordinated distribution strategy. Based on the optimal wind power output of the sub-field layer,the operation of the wind turbine control terminal in the unit layer is controlled. The active power output hierarchical distribution method of the invention combines the hierarchical thought of the large-scale system and considers the coordination and cooperation between different wind farms in the same area at the level of the wind power cluster, further realizes the relative minimization of thesystem network loss and improves the wind power consumption capacity at the same time.

The invention discloses an ultra-short-term wind power prediction method with adaptive time resolution. The ultra-short-term wind power prediction method comprises the following steps: calculating a hidden prediction error in a wind power prediction period, and establishing a corresponding error fluctuation amplitude and a fluctuation rate index to measure the fluctuation characteristic of the wind power prediction error; predicting wind power fluctuation to judge whether the time resolution needs to be adjusted or not; and then performing offline learning on historical data, performing groupdistance grouping on the adjustment coefficient and the fluctuation rate according to the learned numerical relationship between the adjustment coefficient and the fluctuation rate, and then performing adaptive ultra-short-term wind power prediction by adjusting the time resolution online. The ultra-short-term wind power prediction method can effectively reduce the wind power prediction error, especially has a good prediction effect on the minute-level violently fluctuating wind power, opens up a new idea for improving the wind power prediction precision, and facilitates the improvement of thesafety stability and wind power absorption capability of a wind power grid-connected power system.

The invention discloses a solid medium energy storage system and method based on fluidized bed heating. The solid medium energy storage system based on fluidized bed heating comprises a heating lifting chamber, a high temperature storage tank, a heat exchange device and a low temperature storage tank which are sequentially connected. High-temperature resistant solid particles such as sand are usedas an energy storage and heat exchange medium of the system. The heating lifting chamber is selected and used as a fluidized bed heating lifting device; and a heating air distribution device is arranged at the bottom of the heating lifting chamber. The upper part of the low temperature storage tank is provided with a feeding device, and the lower part is provided with an overflow port. A returning device is arranged between the low temperature storage tank and the heating lifting chamber. A cold state solid heat storage medium is fed into the low temperature storage tank through the feeding device, is fed into the heating lifting chamber from the low temperature storage tank through the returning device, and is fluidized and heated to become a high temperature solid heat storage medium, and the high temperature solid heat storage medium is stored in the high temperature storage tank. When the high temperature solid heat storage medium is needed, the high temperature solid heat storagemedium is subjected to heat exchange for utilization through the heat exchange device. A low temperature solid heat storage medium obtained after heat exchange is stored in the low temperature storage tank. The solid medium energy storage system has the advantages of simple technical requirements, high comprehensive utilization rate of energy sources and the like.

The invention discloses a wind-power-participation real-time control method. The method comprises the following steps of firstly, acquiring a net load increment prediction value and a target function value of a control unit; calculating a marginal cost target value of the control unit; then modifying a system power vacancy and an operation basic point; correcting operation basic points of an AGC set and a wind power plant and the system power vacancy; finally, determining whether the system power vacancy is zero and the target function value of each local control unit is not changed; and if the system power vacancy is not zero and the target function value of each local control unit is changed, returning to a step S1 and carrying out next iteration, and if the system power vacancy is zero and the target function value of each local control unit is not changed, according to a final result, correcting the operation basic points of the wind power plant and the AGC set. By using the method of the invention, through a wind power plant and AGC set distributed cooperation real-time control model, under large scale wind power integration, real-time control is performed, and the net load increment prediction value is distributed between a conventional AGC set and the wind power plant through an equal marginal cost rule so as to reduce system operation cost and increase a system wind power consumption capability.

The invention relates to an electrode type electric boiler configuration method for improving wind power absorbing capacity, characterized by, Based on the policy of regional peak shaving auxiliary service. The purpose of heat and power joint planning is to maximize the wind power consumption capacity by reasonably configuring electrode-type electric boilers to meet the load demand on the premiseof meeting the demand. The method can accurately calculate the configuration capacity of the maximum electrode type electric boiler in the region, and can take into account the wind power value underthe minimum energy consumption and the minimum coal consumption under the minimum air discarding quantity, so that the overall economic benefit is better. The electrode type electric boiler improves the regional wind power absorbing capacity and the economic benefit of the thermal power plant, and the wind power absorbing capacity is higher under the condition of guaranteeing the benefit of the wind farm to the maximum extent, which has the advantages of scientific and reasonable, strong applicability, good effect and so on.

The invention provides an orderly charging control method for electric vehicles in residential areas considering wind power consumption, and belongs to the technical field of electric vehicle charging and discharging. The method includes: determining the time granularity of electric vehicle charging power control, determining the current wind power output prediction curve, the current residential electric vehicle charging load prediction curve, the current residential non-electric vehicle electricity load power prediction curve, and power planning constraints; according to the prediction curve Calculate the electric vehicle charging load reference curve of the ideal wind power consumption in the community; in order to improve the wind power consumption and electric vehicle charging timeliness as the optimization goal, the differential evolution algorithm is used to calculate and optimize the electric vehicle charging power pre-distribution curve in the community; The electric vehicle charging power pre-distribution curve and the target electric vehicle charging time are used to allocate the charging power of each electric vehicle in real time. The invention can improve wind power consumption and relieve grid pressure.

The present invention provides a wind farm power coordinated control method and system, characterized in that the method includes: determining the reactive power control working mode of the wind farm according to the grid dispatching command; calculating the reactive power loss of the wind farm; Calculate the total reactive power demand of the wind farm according to the working mode and reactive power loss of the wind farm; allocate the total reactive power demand of the wind farm according to the pre-set allocation principle of the total reactive power demand of the wind farm, and judge whether the total reactive power demand of the wind farm is If the reactive power output limit of the wind turbine is exceeded, the total reactive power demand of the wind farm will be borne by the wind turbine. If it exceeds, the wind turbine will firstly bear it, and the excess part will be borne by the reactive power compensation device. The technical method provided by the invention improves the "grid friendliness" of the wind farm, improves the safe and stable operation level of the grid in areas where large-scale wind power is centrally connected, and promotes the improvement of the wind power consumption capacity of the grid.

The present application relates to a method, device, computer equipment and storage medium for evaluating the effect of a power generation right transaction. The method includes: correcting the wind power probability curve through an evaluation model to obtain a plurality of corrected wind power values ​​and a plurality of corrected wind power probability values; According to the multiple wind power probability values, the abandoned wind power after the transaction is calculated; the evaluation result is obtained according to the abandoned wind power before the transaction and the abandoned wind power after the transaction. By adopting this method, the effect of the power generation right transaction can be evaluated, and the wind power consumption capacity can be improved at the same time.

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.

The invention provides a new energy power grid scheduling method combined with an energy storage power station. The method comprises the steps of constructing a day-ahead scheduling model, obtaining aday-ahead scheduling result through the day-ahead scheduling model, and enabling the day-ahead scheduling result to comprise the charging and discharging capacity of a water pumping type storage power station, constructing an intra-day optimal scheduling model, acquiring an intra-day scheduling result through the intra-day optimal scheduling model, and enabling the intra-day scheduling result tocomprise the charging and discharging capacity of the electrochemical energy storage power station, and according to the day-ahead scheduling result and the intra-day scheduling result, scheduling thecharging and discharging capacity of the unit equipment and the energy storage power station in the new energy power grid. Based on scheduling of different time scales, the high-capacity and high-efficiency energy storage effect of the water pumping type energy storage power station is combined with the rapid adjustment effect of the electrochemical type energy storage power station, the scheduling accuracy and real-time performance are enhanced, and the wind power absorption capacity of a new energy power grid is improved.