44results about How to "Reduce the amount of abandoned air" patented technology

The invention discloses a power-to-gas (P2G) multi-source energy storage type microgrid day-ahead optimal economic dispatching method. The method comprises the steps of building a P2G multi-source energy storage type microgrid model by performing modeling on a P2G multi-source energy storage type microgrid by adopting an energy concentrator method, establishing a supply side matrix expression, a conversion component matrix expression and a load side matrix expression, simultaneously establishing a supply side matrix, a conversion component matrix and a load side matrix, and obtaining a matrix expression of an energy relationship of the P2G multi-source energy storage type microgrid; and establishing a day-ahead P2G multi-source energy storage type microgrid economic dispatching model, which comprises target functions, component models and constraints. According to the method, a second microgrid is added to a power storage and heat storage device on the basis of a first microgrid, so that the wind curtailment amount is slightly reduced, the system cost is also reduced, and the advantages of multi-source energy storage are reflected; and a third microgrid is added to a P2G device, so that the wind curtailment amount is greatly reduced, the utilization rate of a fan is increased to a great extent, and the unique advantages of the P2G multi-source energy storage in the aspect of wind energy absorption are proved.

The invention discloses a capacity optimization configuration method for a combined heat and power generation micro grid containing a heat pump. The method comprises a step 1 of establishing a micro-grid system model; a step 2 of introducing a heat pump into a combined heat and power generation micro grid and establishing an operation strategy of the combined heat and power generation micro grid containing the heat pump; a step 3 of establishing a capacity optimization configuration model of the combined heat and power generation micro grid containing the heat pump; a step 4 of solving the capacity optimization configuration model of the combined heat and power generation micro grid containing the heat pump by using a genetic algorithm. The method solves a problem that combined heat and power generation micro grid capacity optimization configuration in the prior art is not performed in the aspects of decreasing conventional energy sources, reducing wasted wind, and increasing system economic benefit so that a conventional system is high in using cost and poor in economic benefit.

The invention discloses a power grid multiple optimization scheduling method for enhancing wind power acceptance capability, which belongs to the technical field of wind power generation consumption and aims at solving the main technical problems of insufficient power peaking capacity in a load valley period due to random volatility and intermittency of wind power and bad influences of direct participation in system peaking by nuclear power. Through building a wind power model with wind power uncertainty output based on error growth and simultaneously giving a wind power curtailment amount calculation model, a wind power output condition is predicted; with nuclear power as basic load as an example (a main power generation energy source in a different area can be used as basic load), coordinated scheduling with thermal power, hydropower, energy storage and so on is carried out, through pre-scheduling and an actual scheduling model, the nuclear power can participate in peaking through energy storage in a maximum output optimization condition, energy transfer and peak load shifting are realized, output of a clean energy source is maximized, and the acceptance capability of the new energy source is increased.

The invention discloses an economical dispatching optimization method based on large-scale wind power integration. The method comprises the steps that 1, a wind power plant fuzzy output calculation model is established on the basis that a wind power pre-permeability calculation model is given and according to output prediction accuracy of a wind power plant; 2, a wind power plant energy storage cost calculation model and a wind power plant standby system cost calculation model are established by introducing a conversion coefficient; 3, based on regulating characteristics of an energy storage system and a standby system, a wind power plant wind curtailment compensation cost model and a wind power plant insufficient output penalty cost calculation cost are established; 4, a wind power integration economical dispatching model is optimized through combination with a thermal power generating unit output cost model. The dispatching model established through the method optimizes the conversion coefficient alpha, so that the saved cost of the system is maximized, and economy of system operation is improved; meanwhile, the wind curtailment volume is reduced, and the wind power accepting capacity of a power grid is improved.

The invention discloses a pneumoelectric interconnection system optimization operation method considering wind power uncertainty. The method comprises the steps: building a pneumoelectric interconnection system random optimization operation model through employing the minimization of the total operation cost of a pneumoelectric interconnection system as a target and combining with a set related operation constraint; aiming at the nonlinear power flow equation constraint of a natural gas network, adopting a linearization method for processing; describing the uncertainty of wind power output byusing a scene analysis method, generating a large number of wind power output scenes through a Monte Carlo simulation method, then applying a scene reduction method based on synchronous back substitution elimination to reduce the scenes to obtain a small number of representative scenes, and then converting the random optimization problem of the pneumoelectric interconnection system considering thewind power uncertainty into a mixed integer linear programming problem of a plurality of deterministic scenes to be solved. Under the condition that the wind power output is uncertain, the economicalefficiency and safety of the operation of the pneumoelectric interconnection system and the absorption capacity of the wind power are effectively improved through optimal scheduling.

The present invention discloses a time of use price optimization method for promoting wind power generation. The method comprises the following steps of (1) using a fuzzy semi-trapezoidal membership function method to divide peak and valley periods, (2) establishing a user response model, (3) establishing a time of use price optimization model for promoting wind power generation, and (4) using a genetic simulated annealing algorithm to find the optimal solution of the time of use price optimization model for promoting the wind power generation. According to the method, the purposes of reducing power generation cost, raising system reliability, reducing wind abandon amount and increasing social purpose can be realized.

The invention discloses a combined heat-power optimization scheduling method taking account flexibility of a heat supply network. Aiming at digging the source load power non-matching relation betweentwo ends of the heat supply network, through equaling the heat supply network to a generalized energy storage model, making description with a thermodynamic first order differential model and taking temperature as a characteristic quantity, a combined heat and power optimization model is constructed. The method includes steps of obtaining an electric heating operation external characteristic modelaccording to operation characteristics of an air exhaust type heat-power cogeneration unit; equaling the heat supply network as the generalized energy storage model and establishing an upper and lower limit constraint model for the characteristic quantity; according to the structure of the combined heat-power optimization operation system, obtaining a heat-power balance model of the whole system;establishing a standby constrain model; establishing a model taking the minimal cost of the combined heat-power system as a target optimization function; acquiring the minimal cost value of the combined heat-power system and corresponding air exhaust volume through solving the model by utilizing a Cplex algorithm in a GAMS optimization platform; outputting the optimization result and analyzing the result.

The invention discloses a wind power plant and power-to-gas plant and station collaborative location planning method. The method comprises the following steps: 1) establishing a mathematic model of a power-to-gas plant and station; 2) with historical wind speed time series being an original scene, carrying out clustering analysis on a large number of historical data by utilizing a density-based clustering algorithm to obtain a reduced wind power plant output scene; 3) according to the mathematic model obtained in the step 1) and the wind power plant output scene obtained in the step 2), and with net investment income maximization being an optimization objective, establishing a collaborative location planning mathematical model based on scene analysis; and 4) according to the steps 1)-3), solving the constructed collaborative location planning mathematical model of the wind power plant and the power-to-gas plant through an AMPL / BONMIN solver to obtain a planning result. The collaborative location planning method can take technical features of operation of the power-to-gas plant and station into consideration, can evaluate and analyze economy of the planning scheme and can effectively reduce system wind abandoning quantity.

The invention relates to a scheduling method for wind power and large-scale electric vehicle coordination optimization. The scheduling method comprises the steps of 1) building a wind power and large-scale electric vehicle coordination optimization scheduling model; 2) building an optimization model for enabling the operation cost of a traditional generator to be minimum in an upper-layer optimization model; 3) decomposing a robust unit combination main problem considering wind power uncertainty into a robust unit combination main problem and a wind electricity uncertainty verification sub-problem; 4) in a lower-layer optimization model, enabling a scheduling plan of an electric vehicle aggregator at each moment to be equal to a charging and discharging plan of total electric vehicles administrated by the electric vehicle aggregator, and giving charging and discharging constraints of the electric vehicles; 5) enabling an electric vehicle constraint sub-problem to receive an optimal solution transmitted by the robust unit combination main problem considering the wind power uncertainty; and 6) performing solving to obtain a scheduling scheme of wind power, the electric vehicles and thermal power. Compared with the prior art, the method has the advantages of being rapid and reliable, high in applicability, good in optimization effect and the like.

The invention discloses a wind power generation and adjustable load unified operation system. The system comprises a wind power generation unit, a power distribution network, a controlled load, a hybrid energy storage module and an energy optimization manager, wherein the wind power generation unit adopts a distributed small-sized wind power set or centralized high-capacity wind power set and is used for providing clean energy for the power distribution network; the controlled load is used for carrying out classification of an electric load, a heat load, other loads and the like according to load important influence degrees and performing local control through a load controlled terminal; the hybrid energy storage module is used for determining the proportion of a power type and an energy type according to the load important influence degrees and ensuring an important load to continuously supply power; and the energy optimization manger has the functions of load prediction, power generation prediction, data monitoring, power allocation, fault diagnosis, fault alarm and the like. Wind power fluctuation is suppressed to the greatest extent by fully utilizing the controlled load, and coordinated control operation between the wind power generation and the adjustable load is achieved.

The invention provides a frequency modulation optimization operation method based on participation of an energy storage system in large-scale offshore wind power. The method comprises the steps of selecting an offshore wind power plant with the built energy storage system in a certain coastal area, acquiring an offshore wind power prediction output value and energy storage system related parameters, and acquiring an energy market electricity price through a scene analysis method, constructing a frequency modulation auxiliary service optimization operation model in which the energy storage system participates in containing large-scale offshore wind power by taking maximum joint income of the offshore wind power and the energy storage system as a target, considering offshore wind power output uncertainty, and establishing offshore wind power output fuzzy opportunity constraints, adopting a method that offshore wind power and an energy storage system participate in an energy market and frequency modulation auxiliary service for optimization operation, and solving a model on the basis of an MATLAB optimization toolbox. According to the method, the output of the offshore wind power andenergy storage system is optimized, the offshore wind power wind curtailment amount can be effectively reduced, the total income and social benefits of combined operation of the offshore wind power and energy storage system are improved, and the investment recovery period of the energy storage system is shortened.

The invention provides a method and a device for controlling the coordinated operation of a wind power and solar power complementary system. A maximum power output predication value of wind power anda maximum power output predication value of solar power are calculated at first; then wind power output dispatch instruction values and solar power output dispatch instruction values at various moments are determined through a multi-target optimization module; and then the actual power of a wind power plant and the actual power of a solar power plant in the wind power and solar power complementarysystem are controlled according to the wind power output dispatch instruction values and the solar power output dispatch instruction values at the various moments. By adopting the method and the device provided by the invention, the grid connection of renewable energy sources is promoted, the abandoned air volume is reduced, and the benefits of the grid connection are increased; the maximizing ofthe benefits of the grid connection of the wind power and solar power complementary system and the variance of the grid-connected output power are coordinated better, and the grid connection of the renewable energy sources and the friendly operation of the relative power grid are facilitated.

The invention discloses an electrical internet distributed low-carbon economic dispatching method with demand response. The method comprises the following steps of establishing a stepped carbon transaction cost model corresponding to carbon transaction cost, establishing a P2G carbon transaction cost model corresponding to the earnings obtained by the carbon emission permit transaction market, according to the stepped carbon transaction cost model and the P2G carbon transaction cost model, establishing a comprehensive carbon transaction cost model to obtain a comprehensive carbon transaction cost, adjusting the load capacity according to the excitation type demand response to construct an IDR-DSM model, adjusting the load capacity according to the price type demand response to establish a PDR-DSM model, establishing a centralized low-carbon economic dispatching model representing the total operation cost on the premise of meeting the power grid operation constraint condition, the natural gas operation constraint condition and the power-gas coupling constraint condition, on the basis of the centralized low-carbon economic dispatching model, adopting an S-ADMM algorithm to solve and establish a completely distributed dispatching model, and ensuring the low-carbon economy of the network.

The invention relates to the technical field of tower elevator power supply in wind farm, in particular to a tower elevator power supply method and an energy storage system based on the utilization ofdiscarded wind, which utilizes the discarded wind power quantity to supply power to the tower elevator and uses the energy storage system as a supplementary power supply mode of the tower elevator when the discarded wind is insufficient. In order to optimize the energy storage system, a model of tower elevator energy storage system is established, and genetic algorithm (GS) is used to optimize the energy storage configuration. Based on the actual statistical data of a wind farm in Xinjiang, the amount of wind power discarded from the wind farm and the power of tower elevator are calculated. The energy storage capacity and charge-discharge power are calculated by numerical examples, and the parameters of the energy storage system are optimized to minimize the operating cost of the energy storage system, which verifies the feasibility of the tower elevator power supply mode scheme based on waste wind utilization. The invention solves the problem of high power consumption of the tower elevator, and achieves the purpose of saving energy and protecting environment.

The invention discloses a control method, device and system for combined running of wind power equipment and thermoelectric equipment. The control method for combined running of the wind power equipment and the thermoelectric equipment comprises the steps of determining a constraint condition of a thermal power and an electric power of the thermoelectric equipment, a constraint condition of an electric powder of the wind power equipment and a constraint condition of the sum of electric powers of the wind power equipment and the thermoelectric equipment according to an equipment parameter; determining an energy storage constraint condition of a regional thermal network according to an energy storage parameter; determining the electric power of the wind power equipment and the thermal powerand the electric power of the thermoelectric equipment on the premise that the constraint conditions are conformed, the thermal load demand of the thermoelectric equipment is satisfied and maximum benefit of a wind power equipment and thermoelectric equipment combined running system is taken as a target; and sending a wind power output absorption instruction to the wind power equipment, and sending a dispatching instruction into the thermoelectric equipment. By the control method, the running flexibility of the equipment can be improved, wind power absorption is effectively facilitated, the wind abandoned quantity is reduced, and the economic benefit is improved.

The invention discloses a wind abandonment decrement method based on ultra-short-term wind abandonment curve prediction, and belongs to the active dispatching field of electric engineering. Environment data, wind generator data, load data and self-defined data which are related to wind abandonment quantity are monitored and recorded; and five important parameters, including a weak correlation environment prediction index, a strong correlation environment prediction index, a strong correlation wind generator prediction index, a region load correction total quantity and region load correction difference between peak and valley, are calculated according to the four types of data, and then a wind abandonment curve prediction function is established. By virtue of the curve prediction function,an effect of prediction precision adjustment can be realized by improving data measurement frequency and adjusting the prediction calculation time intervals; and by virtue of accurate prediction on the wind abandonment power of a wind power plant, basis is provided for power grid coordination dispatching, so as to optimize frequency modulation and spinning reserved capacity, perform online unit combination optimization and economic load dispatching, and reduce wind abandonment quantity.

The invention discloses a wind storage primary frequency modulation reserve capacity determination method based on a quartile proportion wind abandoning method. The method comprises the following steps: obtaining the maximum wind power generated power historical data in each time interval during one day in a wind power plant; arranging the data sequentially from small to large, and using the quartile method to divide the data into four parts; giving out the wind abandoning proportion coefficients of the four parts; calculating total reserve capacity provided by a wind storage system; considering the state-of-charge (SOC) of current stored energy, and calculating adjusting coefficient; after considering the stored energy, calculating the actual reserve capacity of the wind power plant according to the adjusting coefficients; and calculating the reserve capacity provided by the stored energy. According to the method, wind power and stored energy can be cooperative with each other to provide reserve capacity.

The invention discloses a multi-time scale economic dispatching method for an electric heating comprehensive system based on an improved VMD. The method comprises the steps of firstly improving the VMD into an adaptive decomposition method on the basis of a specified center frequency; then establishing a multi-time scale scheduling model of the electric heating comprehensive system containing thehybrid energy storage, determining a center frequency according to a wind power long-term trend and the response speed of an energy storage part and a thermal part, and carrying out three-layer decomposition on a wind power signal by adopting the improved VMD, wherein the first layer is matched with the wind power long-term trend and is used for formulating the unit start-stop and the unit and electric boiler preliminary output, the frequency of the second layer is adapted to the response speed of an energy type energy storage device and is used for determining a charging and discharging planof the energy storage device and the adjustment quantity of the unit and electric boiler, and the frequency of the third layer is adapted to a power type energy storage device and is used for making the charging and discharging plan of the power type energy storage device and correcting through an intraday and real-time scheduling model. By adopting the improved VMD, the wind curtailment amount and the load shedding amount can be effectively reduced.

The invention discloses a heat supply network heat storage characteristic-based electric-thermal system joint economic dispatching method. The method comprises the following steps of: establishing a dispatching target function by considering wind electricity access risk cost and taking minimum wind curtailment as a main target under the premise of carrying out heat supply network heat storage characteristic-based wind electricity-included electric-thermal system combined economic dispatching to satisfy a heat supply demand; determining a system constraint condition, a thermal-electric unit constraint condition, a straight condensing unit constraint condition and a heat supply network state constraint of the dispatching target function; calculating a heat supply amount and a wind electricity output of a system at the current stage; judging whether wind curtailment is generated due to limited wind electricity access ability of the system; if the judging result is positive, carrying out regulation and control by obeying a principle of wind power-first net play and adopting a dispatching strategy of carrying out thermal-electric unit continuous regulation to decrease heat supply streamextraction capacity of the unit; and if the judging result is negative, carrying out regulation and control according to a dispatching strategy of calculating wind curtailment possibility according to wind power outputs at the last time period and the current time period.

The invention discloses a multi-objective optimization method for an offshore wind power hydrogen production and energy storage system, and belongs to the field of new energy. The method specifically comprises the following steps: determining that the offshore wind power hydrogen production and energy storage system takes reliability, economy and wind curtailment quantity as optimization targets, constructing a fitness function of multiple optimization targets, compiling a program code for solving the fitness function based on a multi-target particle swarm optimization algorithm in application software, running a program, and completing the optimization of the wind curtailment quantity. And obtaining a Pareto frontier curved surface of the multi-objective optimization problem, and determining an optimal solution of the capacity ratio according to the Pareto frontier curved surface graph and the preference for each objective. According to the multi-target capacity optimization method for the offshore wind power hydrogen production and energy storage system, a decision maker can determine the optimal capacity ratio of the system according to economy, reliability and wind curtailment preference.

The invention discloses an energy-storage-containing electricity-heat interconnection system coordinated scheduling method considering wind power uncertainty, and relates to the technical field of electricity-heat interconnection system optimized scheduling. The method comprises the following steps of: updating historical data of wind speed in each scheduling period, establishing a wind power prediction model based on Kalman filtering for predicting the wind speed, and converting the wind speed into wind power output according to a characteristic curve of the wind speed and the output; on the basis of a wind power prediction result, establishing a system coordinated scheduling model which includes an objective function and constraint conditions, and carrying out optimization scheduling is on system unit output and equipment states, wherein energy storage equipment participates in system scheduling according to different situations; and putting forward a self-feedback correction model, performing on-line prediction on wind power prediction errors through using the self-feedback correction model so as to correct a prediction result, and then correcting an optimization scheduling instruction of the system according to the corrected prediction result. On the premise that safe operation of the system is met, the wind curtailment amount and the system operation cost are reduced to the maximum extent.

The invention discloses a wind abandonment decrement method based on ultra-short-term wind abandonment curve prediction, and belongs to the active dispatching field of electric engineering. Environment data, wind generator data, load data and self-defined data which are related to wind abandonment quantity are monitored and recorded; and five important parameters, including a weak correlation environment prediction index, a strong correlation environment prediction index, a strong correlation wind generator prediction index, a region load correction total quantity and region load correction difference between peak and valley, are calculated according to the four types of data, and then a wind abandonment curve prediction function is established. By virtue of the curve prediction function,an effect of prediction precision adjustment can be realized by improving data measurement frequency and adjusting the prediction calculation time intervals; and by virtue of accurate prediction on the wind abandonment power of a wind power plant, basis is provided for power grid coordination dispatching, so as to optimize frequency modulation and spinning reserved capacity, perform online unit combination optimization and economic load dispatching, and reduce wind abandonment quantity.

Large-scale wind power, which is similar to a load, is generally connected to a main network. The large-scale wind power is divided into three output levels, namely a base load, a waist load and a peak load. The wind abandoning amounts of the three output levels are decreased from large to small, while the randomness thereof are increased from small to large. The output of the basic load is favorable for the safe operation of the main network, while the wind abandoning amount of the base load is too large. In order to reduce the wind abandoning amount and improve the static power-angle safetyof the main network, the invention provides the main network online safety scheduling method for large-scale wind power waist load access. According to the method, a wind power prediction value sequence is subjected to polynomial regression fitting, and a day-ahead wind power waist load output plan curve is obtained. For the situation that the deviation between the output plan and the actual windpower is large, a secondary frequency modulation 'optimized starting' curve family is provided, and an optimized starting time point of secondary frequency modulation of the frequency modulation unitis obtained. Based on an equivalent power angle index, an online optimization method for secondary frequency modulation of the frequency modulation unit is provided. The IEEE 39 example verifies the feasibility of the scheduling method. The method has practical significance for reducing the abandoned air volume and improving the safe operation level of the main network.

The invention relates to a scheduling method for coordinated optimization of wind power and large-scale electric vehicles, comprising the following steps: 1) constructing a coordinated optimization scheduling model of wind power and large-scale electric vehicles; The smallest optimization model; 3) Decompose the main problem of robust unit combination considering wind power uncertainty into the main problem of robust unit combination and the check sub-problem of wind power uncertainty; 4) In the lower optimization model, make each moment The scheduling plan of the electric vehicle aggregator should be equal to the charging and discharging plan of the total electric vehicles under its jurisdiction, and the charging and discharging constraints of electric vehicles are given; 5) The subproblem of electric vehicle constraints receives the main problem of robust unit combination considering the uncertainty of wind power The optimized solution delivered; 6) Solve to obtain the scheduling scheme of wind power, electric vehicles, and thermal power. Compared with the prior art, the present invention has the advantages of rapidity, reliability, strong applicability, good optimization effect and the like.

The invention belongs to the technical field of power system operation and control, and especially relates to a high-permeability wind power isolation grid frequency control method based on a polycrystalline silicon load. The method comprises the steps: carrying out the analysis of the growing process of polycrystalline silicon, building an electrical model of the polycrystalline silicon load, carrying out the fitting of voltage and current and the radius of a polycrystalline silicon rod through combining with the industrial data, and building a polycrystalline silicon load power characteristic model; obtaining a polycrystalline silicon load power control mathematic model according to the polycrystalline silicon load power characteristic model. The method can achieve the quick changing of the consumption power of the polycrystalline silicon load through changing a wave splicing voltage and wave splicing time under the condition of giving consideration to two limiting factors: incoming rate of cooling water and the temperature of the silicon rod. The method proposes a control strategy for the response of the polycrystalline silicon load to the fluctuation of the isolated grid power under the condition of giving consideration to the diversity of the polycrystalline silicon loads. The method takes a Chifeng isolated grid as the background, enables the isolated grid to maintain stable through load response power under the condition of extreme wind power fluctuation, and verifies the correctness of the proposed control strategy.

The present invention relates to the technical field of power supply for tower elevators in wind farms, in particular to a power supply method for tower elevators and an energy storage system based on the use of abandoned wind, which uses the amount of abandoned wind power to supply power for tower elevators and uses the energy storage system when the abandoned wind is insufficient The power supply mode used as a supplementary power supply for tower elevators. Aiming at optimizing the economical configuration of the energy storage system, a model of the tower elevator energy storage system was established, and the energy storage configuration was optimized using a genetic algorithm (GS). The actual statistical data of a wind farm in Xinjiang is used to statistically calculate the abandoned wind power of the wind farm and the power used by the tower elevator. The required configuration of energy storage power and charging and discharging power is calculated through calculation examples, and the parameters of the energy storage system are optimized to minimize the operating cost of the energy storage system. The invention solves the problem of high power consumption of the tower elevator and achieves the purpose of saving energy and protecting the environment.

The invention discloses an economic quantitative model for evaluating the improvement degree of a power distribution network project on the operation performance of a power distribution network. The model is used for evaluating the improvement degree of the operation performance of the power distribution network project based on project investment cost so as to help investors to analyze the cost performance of a target power distribution network project and the overall profitability of the society. The model comprises benefit increase brought by power grid performance improvement in four aspects of power distribution network power supply reliability improvement, power grid improvement, power supply capability enhancement and energy utilization enhancement caused by a power distribution network project, and project investment construction cost and later operation and maintenance cost. Economic quantitative analysis is performed on the power grid operation performance improvement broughtby the project based on the economic cost of the distribution network project so that the defect that the actual economic 'benefit' of the distribution network project is difficult to quantify due tothe fact that the performance improvement in the technical aspect of the project and the investment cost in the economic aspect are separately compared by the existing model can be compensated.