30results about How to "Reduce curtailment" patented technology

The invention relates to the field of electric power system operation and control, in particular to an MPC-based wind power-photovoltaic-optothermal-thermal power combined power generation optimization scheduling method. The MPC-based wind power-photovoltaic-optothermal-thermal power combined power generation optimization scheduling method comprises the following steps: S1, prediction informationof a wind power-photovoltaic-optothermal-thermal power combined power generation system is obtained; S2, a heat-electricity conversion model of an optothermal power station is built; S3, a heat storage tank state prediction model of the optothermal power station is built; S4, an optimization scheduling model of the wind power-photovoltaic-optothermal-thermal power combined power generation systemis built; and S5, a rolling optimization scheduling method of the wind power-photovoltaic-optothermal-thermal power combined power generation system is provided. The invention aims to provide the MPC-based wind power-photovoltaic-optothermal-thermal power combined power generation optimization scheduling method, which is used for promoting coordinative optimization operation of a wind power plant,a photovoltaic power station, the optothermal power station and a thermal power unit, thereby reducing electric quantity of abandoned wind and abandoned light, and providing a reference for operationof a power grid.

The invention puts forward a photothermal power station with electric heating devices and a modeling and operation optimization method of the photothermal power station. A model is applicable to the independent operation photothermal power station, a multi-energy complementary system with wind power, photovoltaic and photothermal power generation functions and other scenes, and multiple operationconstraints are considered and comprise a thermal power balance constraint with hot salt tanks as nodes, a thermoelectric conversion relation constraint of the electric heating devices, a heat tank hourly heat accumulation state constraint, a constraint that stored heat is equal to released heat in a calculation cycle, a thermoelectric conversion constraint of a turbonator, a starting heat constraint and an electric power balance constraint of a steam turbine, a wind curtailment and photoelectric power constraint used for the electric heating devices, and other constraints. The mixed integer linear optimization technology is adopted to solve the optimization problem. By additionally installing an appropriate amount of electric heating devices in the photothermal power station, the electricquantity curtailment of new energy can be effectively reduced, the photothermal electric energy production is increased, and the operation economy of the photothermal power station and the multi-energy complementary system is improved.

The present invention discloses an electrified railway three-phase photovoltaic DC side energy storage system and a control method thereof. A three-phase access mode is used by a photovoltaic power generation system, and an energy storage device is connected to a photovoltaic direct-current side. The operating mode selection is carried out according to real-time detection data and a processing result, and combined with traction load characteristics, a strategy of self-generation and use and extra power for grid is used. When a traction load is detected, a self-generation and use mode is used,when the power is supplied to the load, extra electric energy is stored in energy storage equipment, and an effect of 'peak-load shifting' is achieved. When an electric arm idle load is detected, themode is switched to an extra power for grid mode, and photovoltaic and energy storage equipment transmits electric energy to a grid at the same time. The reasonable dissipation of photovoltaic energycan be realized, a discarded electric quantity is reduced, at the same time, a configured energy storage capacity is reduced, and the economic efficiency of the system is improved.

The invention provides a random scheduling optimization method for an electro-thermal coupling micro energy station, and the method comprises the steps: firstly, building a virtual micro energy station and an output model of the virtual micro energy station, wherein the virtual micro energy station comprises a power subsystem, a thermal subsystem and an energy storage subsystem; secondly, constructing a target function according to the operation income of the power subsystem, the thermal subsystem and the energy storage subsystem; constructing a risk function of virtual micro-energy station scheduling by using a CvaR method, and constructing a random constraint condition by using a robust random optimization theory; and finally, optimizing the random scheduling of the micro-energy stationby utilizing the maximization of the target function and the minimization of the risk function. The PBDR is implemented to realize optimal operation of the VEP, and the reasonable peak-valley price difference is set to stimulate the user to respond to the energy scheduling of the VEP so as to consume WPP, PV and SC clean energy output, reduce clean energy waste to the maximum extent, and obtain the maximum economic benefit of the VEP while minimizing the operation risk level.

The invention discloses a method for improving the energy utilization rate of a multi-energy system with a hydrogen storage device, and belongs to the technical field of electric power systems and multiple energies. The method comprises the following steps: firstly, modeling wind power generation, photovoltaic power generation, fuel cell power generation, electricity-to-hydrogen conversion, energystorage and heat sources in the multi-energy system; then establishing an energy power balance model of the multi-energy system through an energy coupling relationship among multiple energy sources,and establishing an energy utilization power optimization model of the multi-energy system according to stable operation constraints of the hydrogen storage device; and finally, solving the energy utilization power optimization model of the multi-energy system by adopting a multi-objective differential evolution algorithm, obtaining the energy utilization amount of the multi-energy system in one year according to the typical daily multi-energy utilization amount, and obtaining the energy utilization amount improvement ratio of the hydrogen storage device in the multi-energy system. The improvement efficiency of energy utilization in the operation of the multi-energy system is judged by means of the hydrogen storage device, and the key of the hydrogen storage device to the improvement of the energy utilization rate of the multi-energy system is highlighted.

The invention discloses a real-time power generation plan optimization method considering northern Shaanxi cascade section limit linkage adjustment. The method comprises the following steps: based onvarious basic data of a real-time power generation plan, constructing a network-province two-stage real-time power generation plan coordination optimization model in a generalized tie line mode, and providing a unit initial plan value and a section initial tide value for joint optimization of the real-time power generation plan and Shaanbei cascade section limit. According to the method, based onvarious basic data of a real-time power generation plan, a unit initial plan and a section initial tidal current value, a real-time power generation plan optimization model considering northern Shaanxi cascade section limit linkage adjustment is constructed; an optimization target is introduced into the Shaanbei virtual subarea, so that the new energy wind curtailment amount is minimum; constraints such as a Shaanbei subarea cascade section and a the central Shaanxi plain subarea admitting ability are introduced into constraint conditions, combined optimization of unit output and stable section limits is achieved, the Shaanbei subarea new energy consumption potential of Shaanxi province is fully excavated, the utilization rate of the Shaanbei cascade section is increased, and the lean level of northwest regional power grid new energy scheduling is improved.

The invention relates to a photovoltaic energy storage system in a DC power distribution network and an operation control method thereof, and belongs to the technical field of power electronics. The system comprises the DC power distribution network, a photovoltaic power station module, a limited energy storage module, a grid connection module and a main control module. The grid connection module enables the photovoltaic power station module and the energy storage module, which are connected to a low-voltage DC bus, to be connected to a medium-voltage DC bus in the DC power distribution network; and the grid connection module comprises a DC solid-state transformer and a third DC circuit breaker. The main control module is used for finishing general communication control, maximum power point tracking MPPT of the photovoltaic power station module, charge and discharge control of the energy storage module, control of the grid connection module and on-off control of a photovoltaic energy storage system in the DC power distribution network. Through the system and the specific method, the problem of grid connection of a small / middle-power-level photovoltaic grid-connected power generation system is solved, photovoltaic utilization rate is improved, and the phenomenon of "photovoltaic power abandonment" is reduced.

The invention relates to an energy enrichment power grid power supply planning method and system. The method comprises first-stage planning processing and second-stage planning processing. The first-stage planning processing is characterized by based on a planning grid structure, taking the maximum line or section power flow as an optimization target, satisfying the voltage and frequency operationconstraint conditions, carrying out N1 and N2 stability check on network elements, and forming a power supply planning scheme meeting the safety and stability requirements of a power system; and thesecond-stage planning processing is characterized by on the basis that the first-stage power supply planning is feasible, establishing equivalent substitution relationships of various power supplies to optimize the configuration positions and the configuration number of different types of power supplies in the power supply layout planning, and then taking the minimum operation cost as an objectivefunction for the selected power supply layout planning scheme, and taking the resource constraints, the load requirements, the unit output characteristics and the operation cost characteristics as boundary constraints to analyze the new energy consumption level of an electric power and electric quantity balancing machine to thereby form an optimal layout scheme.

The invention provides a source-network-load integrated economic dispatching method and system considering demand response, and the method comprises the steps: building a source-network-load integrated economic dispatching optimization model considering the demand response and the adjustment of a power grid topological structure, enabling the optimization model to take the minimum sum of power generation cost, demand response cost and wind curtailment cost as a target, converting the mixed integer nonlinear constraint condition in the optimization model into an equivalent mixed integer linearconstraint condition, and solving the converted mixed integer linear programming model by adopting a mixed integer linear programming method to obtain a final source-network-load integrated economic dispatching scheme. The method can be used for power system economic dispatching under large-scale wind power grid connection, the power transmission side power grid structure and the power utilizationside load power utilization demand are regarded as flexible resources capable of participating in dispatching to be integrated into a power generation dispatching plan, global optimal configuration of source network load resources is achieved, the wind power waste amount can be reduced, and the economical efficiency of system operation is improved.

The invention relates to a medium-and-long-term hidden random scheduling method for a cascade hydropower station of a combined wind power photovoltaic power station, and belongs to the technical fieldof hybrid energy system scheduling. According to the method, monthly runoff uncertainty is considered, and a scheduling model is fitted by using a radial basis function neural network through adoption of an implicit hidden random scheduling method. The model reasonably considers the wind power photovoltaic uncertainty and the impact of the reverse peak regulation phenomenon on the power grid, reserves sufficient standby for short-term wind and light uncertainty in medium and long-term scheduling, and allocates enough daily electric quantity to cope with the pressure of the reverse peak regulation phenomenon on the peak regulation of the power grid. The model result of the method is greatly different from the result without consideration of wind power photovoltaic short-term standby, the wind power photovoltaic output and the cascade hydropower station optimal scheduling information can be effectively utilized, and a reference basis with high operability is provided for scientific decision making of the cascade hydropower station under the condition of large-scale new energy grid connection.

The invention provides a system for generating hydrogen through a high-temperature solid electrolytic tank by means of thermal power plant peak load regulation electricity. The system for generating the hydrogen through the high-temperature solid electrolytic tank by means of the thermal power plant peak load regulation electricity comprises a power grid peak load regulation control system, a power transmission and distribution and electrolytic tank power supply system, a high-temperature solid electrolytic tank hydrogen generating system, an electrolytic tank high-temperature steam supplying system and a hydrogen collecting, purifying and outward transmission system. The power transmission and distribution and electrolytic tank power supply system is a newly added interval on an outgoing bus of a power plant. An electric switch is arranged on the interval. The electric switch is connected with a step-down transformer and an inverter on a power transmission network. The other end of the step-down transformer and the other end of the inverter are connected with the high-temperature solid electrolytic tank hydrogen generating system. In the electrolytic tank high-temperature steam supplying system, a power plant main steam bypass guides out high-temperature steam, and the high-temperature steam is supplied to the electrolytic tank. By the adoption of the system for generating the hydrogen through the high-temperature solid electrolytic tank by means of the thermal power plant peak load regulation electricity, electrolysis hydrogen generation is conducted through the thermal power plant peak load regulation electricity, the main steam of the power plant is guided out, electrically overheated and then conveyed into the electrolytic tank, the hydrogen generation efficiency of the solid electrolytic tank is improved, the peak load regulation electricity of the power plant is greatly utilized, and a valuable peak load regulation load is provided for the power plant.

The invention relates to the technical field of power generation, in particular to a comprehensive energy utilization system. The comprehensive energy utilization system comprehensively utilizes various energy sources to generate electric energy, so the power supply stability of a power supply side is improved, abandoned power is reduced, gradient utilization of the energy sources is realized, and the utilization efficiency of the energy sources is improved. And through short-term electricity consumption prediction on the electricity consumption load side, judgment and control on electricity consumption of the electricity consumption load side can be improved, and the stability of electric networks such as a power generation subsystem, an energy storage subsystem and a municipal power grid can be improved.

The invention provides a peak regulation and frequency modulation method and system for a power plant storage battery data center, and the method comprises the steps: S1, setting a storage battery operation mode according to whether a storage battery participates in the type of a power grid auxiliary service cooperatively developed by a power plant and a power grid; S2, according to the peak regulation and frequency modulation depth and load capacity E auxiliary of the power plant participating in the power grid auxiliary service, setting storage battery capacitance E sum data center or power consumption E data of the digital currency mining machine; and S3, enabling the storage battery and / or the power plant to supply power to the data center or the digital currency mining machine, and therefore, it is ensured that the data center or the digital currency mining machine operates for 24 hours. According to the peak regulation and frequency modulation method and system for the power plant storage battery data center, power storage and operation of the data center or the digital currency mining machine are carried out by utilizing low-price power of the power plant, and the peak capacity of the power plant is improved.

The invention provides a cluster output characteristic evaluation method for large-scale grid-connected new energy, and the method comprises the following steps: building evaluation indexes of three dimensions, namely output confidence, output fluctuation and load curve matching degree; and comprehensively evaluating the influence degree of the output of the new energy in the urban power grid on the electric power quantity and peak regulation balance of the urban power grid according to the evaluation indexes, and giving quantitative evaluation. The output confidence can provide data support for participation of new energy output in power balance of an urban power grid, and provide reasonable reference for setting of a new energy output level; the output fluctuation degree can provide data support for real-time dispatching unit output of a power grid, a dispatcher can conveniently pre-judge the maximum fluctuation of new energy output, and reference is provided for adjustment of a traditional unit; and the load curve matching degree can provide data support for peak regulation balance of a power grid, thermal power startup and shutdown are adjusted in time according to the peak-valley difference after the load curve is superposed with new energy output, peak regulation balance is guaranteed, and the abandoned electric quantity of the new energy is reduced.

The invention discloses a hydropower cluster sending-out net rack optimization method considering a clean energy utilization rate, and the method comprises the steps: calculating the membership degreeof an evaluation set to which each scheme belongs, and determining the sorting of alternative schemes; and S17, selecting a current optimal hydropower cluster sending-out scheme; S18, judging whethersystem safety and stability constraints are met or not; S19, judging whether severe fault checking can be passed or not; S20, judging whether channel constraints are satisfied; S21, deleting the current scheme from the alternative library; S22, judging whether an alternative scheme exists in the alternative library or not; s23, judging whether the hydropower cluster development scale and the commissioning time sequence can be optimized or not; and S24, under the constraint boundary condition, optimizing the hydropower cluster development scale and the commissioning time sequence; S25, optimizing partition balance, and changing the power flow direction; S26, analyzing and calculating the clean energy utilization rate of each planning level year; s27, judging whether the clean energy utilization rate constraint is met or not; s28, forming a hydropower cluster sending-out scheme; and S29, according to the existing power grid channel, obtaining a hydropower cluster sending-out grid frameoptimization scheme.

The invention relates to a medium- and long-term implicit random scheduling method for a cascade hydropower station combined with a wind power photovoltaic power station, and belongs to the technical field of hybrid energy system scheduling. The method considers the uncertainty of monthly runoff, and uses the radial basis neural network to fit the scheduling model through the implicit random scheduling method. The model of the present invention reasonably considers the uncertainty of wind power and photovoltaics and the impact of the reverse peak regulation phenomenon on the power grid, and considers the short-term wind and wind uncertainty in the medium and long-term dispatching to reserve sufficient reserves, and allocates enough daily electricity to deal with reverse regulation The pressure brought by the peak phenomenon to the peak regulation of the power grid. The model results of the present invention are very different from the results when short-term backup of wind power and photovoltaic power is not considered. The present invention can effectively utilize wind power photovoltaic output and cascade hydropower station optimization scheduling information, and provide scientific decision-making for cascade hydropower stations under the condition of large-scale new energy grid connection. An operable reference basis.

The invention discloses a method for calculating the maximum transmission capacity of a transmission line of a wind farm, which includes acquiring historical data of an area to be analyzed; calculating the average temperature of the highest daily temperature in a historical month in the area to be analyzed; and calculating a temperature correction coefficient of the area to be analyzed; Obtain the maximum transmission capacity of the wind farm outgoing line in each month in the area to be analyzed. When the present invention calculates the transmission capacity of each month sent out by the wind farm, the maximum temperature of each month and the simultaneous rate of the wind farm can be considered comprehensively, and the limit value for the transmission capacity of the wind farm sent out by each month can be obtained, which can meet the actual engineering needs; and comprehensively Considering the maximum transmission capacity of the transmission line of the wind farm in different months, the maximum output power of the wind farm can be sent out, effectively reducing the power waste of the wind farm, which is conducive to the safe and stable operation of the power grid and the improvement of the power transmission efficiency of the transmission line; therefore, the method of the present invention is more efficient. It conforms to the actual operation status of the current wind farm, and has high reliability and good scientificity.

The invention discloses a new energy consumption-based power system adjustable load capacity optimization method. The method comprises the steps of obtaining operation data of a to-be-analyzed power system; constructing a target function by taking the minimum adjustable load capacity as a target on the premise that the new energy abandoned electric quantity meets a set requirement; constructing a constraint condition of the target function by taking an operation rule of the power system as a constraint; and solving the target function by adopting a linear interpolation method and combining a perturbation method to obtain a final power system adjustable load capacity optimization result. The method comprises the following steps: taking new energy abandoned electric quantity as a constraint condition, considering an energy storage system operation strategy dominated by time-of-use electricity price, and solving an adjustable load capacity minimum value which needs to be configured by the system; therefore, according to the method, the new energy consumption capability is improved, the new energy abandoned electricity quantity is effectively reduced, and the method is high in reliability, good in accuracy, objective and scientific.

The invention discloses a new energy station energy storage configuration method and device. The method achieves the target of improving the new energy consumption through analyzing the historical output sequence data of a new energy station, combining the utilization condition of a transmission channel of the new energy station, and determining the energy storage configuration of the new energy station from the two dimensions of charging and discharging duration and power. While the utilization rate of the power transmission channel is improved, the abandoned power of the new energy station is reduced, and the new energy consumption is facilitated.

The invention discloses a real-time power generation plan optimization method considering the linkage adjustment of the cascade section limit in northern Shaanxi, which includes: based on various basic data of the real-time power generation plan, constructing a two-level real-time power generation plan coordination optimization model of the grid and province under the generalized tie line mode, for The joint optimization of real-time power generation plan and northern Shaanxi cascade section quota provides unit initial plan value and section initial tidal current value; based on various basic data of real-time power generation plan, unit initial plan and section initial tidal current value, constructs the cascade section quota linkage in consideration of northern Shaanxi The adjusted real-time power generation plan optimization model, the optimization goal is introduced into the northern Shaanxi virtual zone to minimize the amount of new energy abandoned air, and the constraints are introduced into the cascading sections of the northern Shaanxi zone and the acceptance capacity of the Guanzhong zone to realize the joint optimization of unit output and stable section quotas, fully The potential of new energy consumption in the northern part of Shaanxi Province has been tapped, the utilization rate of cascade sections in northern Shaanxi has been improved, and the lean level of new energy dispatching in the northwest regional power grid has been improved.

The invention puts forward a photothermal power station with electric heating devices and a modeling and operation optimization method of the photothermal power station. A model is applicable to the independent operation photothermal power station, a multi-energy complementary system with wind power, photovoltaic and photothermal power generation functions and other scenes, and multiple operationconstraints are considered and comprise a thermal power balance constraint with hot salt tanks as nodes, a thermoelectric conversion relation constraint of the electric heating devices, a heat tank hourly heat accumulation state constraint, a constraint that stored heat is equal to released heat in a calculation cycle, a thermoelectric conversion constraint of a turbonator, a starting heat constraint and an electric power balance constraint of a steam turbine, a wind curtailment and photoelectric power constraint used for the electric heating devices, and other constraints. The mixed integer linear optimization technology is adopted to solve the optimization problem. By additionally installing an appropriate amount of electric heating devices in the photothermal power station, the electricquantity curtailment of new energy can be effectively reduced, the photothermal electric energy production is increased, and the operation economy of the photothermal power station and the multi-energy complementary system is improved.

The invention provides a grid-connected power control strategy of an electric energy router for rail transit power distribution, and the method comprises the steps: firstly solving target smooth power under the maximum wind and light output according to a rear end point power smooth semi-compensation algorithm, and then solving an output power instruction corresponding to a wind and light distributed power supply; and finally, controlling the wind-solar distributed power supply to track the instruction power and stably outputting the instruction power, so that the grid-connected point power is smooth and fluctuation is reduced. According to the method, the back end point power smoothing semi-compensation algorithm with the sliding window length of 7 is adopted twice to smooth the grid-connected point power, after the algorithm is continuously applied twice, grid-connected point power smoothing can be well achieved, meanwhile, the distributed power supply can be fully utilized as much as possible, and the abandoned power quantity is reduced.

The invention discloses an energy storage and hydrogen production combined supply system and a coupling control method thereof, and a storage medium. The coupling control method comprises the following steps: receiving a scheduling signal; and adjusting first operation power of energy storage equipment and / or second operation power of hydrogen production equipment at least according to the scheduling signal, so that the sum of the first operation power and the second operation power is equal to target power indicated by the scheduling signal. According to the scheme, the service life of equipment can be prolonged while power auxiliary service is provided, the power consumption cost during charging and hydrogen production is low, new energy waste electricity can be reduced, and deployment of the energy storage and hydrogen production combined supply system is flexible.

The invention discloses a decomposition coordination optimization method for a water-light complementary scheduling large system, and the method comprises the steps: carrying out the quantitative analysis of the absorption condition of water-light power generation, including the calculation of water-light superposition output, and the calculation of the electric quantity of the water-light superposition output exceeding a power transmission channel in a photovoltaic overall fluctuation period, which is called overflow capacity G; when the water-light superposition output in the photovoltaic overall fluctuation period does not exceed the power transmission channel, calculating the residual space capable of increasing the output in the photovoltaic overall fluctuation period, and the space is called water capacity F; hydroelectric critical output information is calculated; and judging whether a water abandoning phenomenon occurs or not according to the optimal long-term hydropower scheduling, and carrying out coordinated optimization by adopting different scheduling models. According to the invention, on the basis of guaranteeing the annual energy output of hydropower, the hydropower electric quantity transfer in medium and long periods is realized, the channel is made if the photovoltaic power is large, and the channel is compensated if the photovoltaic power is small, thereby fully reducing the abandoned photovoltaic power and achieving the effect of optimal water-light absorption electric quantity.

The invention discloses a risk control-based new energy incorporation power system standby method and device, and the method comprises the steps: carrying out the discretization of a new energy incorporation standby proportion, and screening out a group of new energy incorporation standby proportions meeting a system loss load risk; and finding out the optimal solution from the group of solutionsby taking the minimum new energy power abandoning rate of the system as the target, and therefore, the inclusion mode can meet the system loss load risk control requirement and the target of the minimum new energy power abandoning rate at the same time. According to the method, new energy is brought into reserve in a certain mode, the starting mode of a conventional thermal power generating unit can be reduced, and therefore the maximum new energy consumption space of the system is increased, new energy abandoned electricity is reduced, and the new energy generating capacity in a power grid isimproved.

The invention discloses a method for optimizing a hydropower cluster sending network structure considering the utilization rate of clean energy, calculates the degree of membership of each scheme corresponding to the evaluation set to which it belongs, and determines the ranking of alternative schemes. S17: Select the current optimal hydropower cluster sending scheme. S18: Does the system meet the security and stability constraints? S19: Can it pass the serious fault check? 20: Is the channel constraint satisfied? S21: Delete the current solution in the candidate library. S22: Are there alternatives in the alternative library? S23: Can the development scale and commissioning sequence of hydropower clusters be optimized? S24: Under constrained boundary conditions, optimize the development scale and commissioning sequence of hydropower clusters. S25: Optimize partition balance and change power flow direction. S26: Analyze and calculate the clean energy utilization rate of each planning level year; S27: Determine whether the clean energy utilization rate constraint is satisfied? S28: Form a hydropower cluster transmission scheme; S29: Obtain an optimization scheme for the hydropower cluster transmission network structure based on the existing grid channels.