127results about How to "Reduce wind curtailment" patented technology

The invention discloses a combined heat and power dispatching method for improving wind power dissipation, which relates to the field of large power grid dispatching. The invention calculates the initial carbon quota of the thermoelectric unit and the actual carbon quota. By comparing the continuous output of the thermoelectric unit due to the increase of the heat load, the excess heat load is supplied by the regenerative electric boiler. And then charging the electric energy storage through the abandoned wind. Then, in order to reduce the control difficulty of heat storage electric boiler andelectric energy storage system, the combined heat and power multi-agent model for load distribution and information transmission is established. Then an optimization model considering only the cost of coal consumption is established. Finally, the dynamic inertia weight and compression factor are introduced to improve the particle swarm optimization algorithm to solve the model. The method of theinvention enables the system to reduce the system cost and improve the utilization rate of wind energy under the condition of guaranteeing the operation reliability. The simulation with MATLAB 7.10 verifies the rationality and effectiveness of the method, and proves that the utilization ratio of wind power can be improved by using regenerative electric boiler to supply heat load and using abandoned air to charge electric energy storage.

The invention relates to the research field that a demander response participates in large-scale grid-connected wind power consumption, in particular to a large-scale grid-connected wind power consumption based on the demander response. The method comprises the steps of establishing high-energy-consumption enterprises of mining, metal smelting, petroleum processing, heating and the like nearby areas with rich wind power, utilizing adjustable and interruptible high-energy-consumption loads for participating in wind power pitch peaks, locally absorbing wind power resources, and avoiding large-scale and remote wind power transmission. Therefore, power grid losses are reduced, the power utilization cost of high-energy-consumption users is saved, output consumption of a wind power plant is increased, and occurrences of the wind abandoning phenomenon are reduced. The method can objectively and comprehensively reflect the output characteristics of large-scale power wind and the user power utilization load characteristics, the sizes of the adjustable and interruptible high-energy-consumption loads are accurately calculated, then the capacity of the newly-increased wind power consumption scale is determined, and the current large-scale wind power grid-connected consumption problem and the wind abandoning problem are solved.

The invention relates to an optimized operation method of a pumped-storage power station and wind power combined system and belongs to the field of optimized operation of power systems. The method includes: building an optimized operation model of the pumped-storage power station and wind power combined system based on a unit combination, which uses lowest grid generation cost as a target function, constraint conditions of power balance constraint, spinning reserve constraint, climbing ability constraint, unit characteristic constraint and pumped-storage power station constraint, and boundary conditions of a daily load curve, grid loss and power parameters; solving the model to obtain an operation scheduling command to allow optimized operation of the combined system. Wind power intermittence, volatility and prediction inaccuracy are fully considered, and the spinning reverse constraint is corrected to optimize the operation of the combined system; by the use of the method, evident benefits are brought to the pumped-storage power station, in terms of hump modulation and trough stuffing, wind power fluctuation balancing, wind curtailment reduction and system coal consumption reduction.

A coordination control method of wind accumulation is characterized in that according to response of wind turbine generation set rotor control, pitch control and energy storage control to the technical economic characteristics of time, rate of power, volume, cost and the like, operation status data of a wind power plant, a wind turbine generation set, an energy storage system and an electric power system can be collected in real time. The best operating economy of wind accumulation operation is chosen as an aim. The rotor speed of the wind turbine generation set, the pitch angle and the physics limit of the energy storage system are regarded as constraint conditions. Start order, output power, lasting time and quit order of the wind turbine generation set rotor, the winder turbine generation set pitch angle and the energy storage system are coordinately controlled. Wind accumulation frequency modulation requirements and a power grid dispatching power order of an electrical power system are satisfied with the lower volume of stored energy. A Wind discharging rate of wind generating is reduced and economic benefit of wind accumulation is improved.

The invention discloses an electric heating energy storage poly-generation system comprising a heat pump system, a heat and cold storage system, a heat supply system, a refrigeration system and a power generation system. The heat pump system comprises a motor, a compressor, a heat storage heat exchanger and a cold storage heat exchanger. The heat and cold storage system comprises a high-temperature storage tank, a normal-temperature storage tank and a low-temperature storage tank. By means of the system, the renewable energy source electricity or electricity generated when the electrical network load is at the trough can be stored in the form of heat and coldness, and meanwhile, the stored heat or coldness can be used for conducting heating, refrigeration and power generation.

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 relates to a thermodynamic system for improving heat supply unit electric output adjusting capacity. The thermodynamic system is characterized in that main steam or reheating section steam is subject to temperature and pressure reduction to directly serve as heat source steam for industrial heat users; an absorption heat pump 23 of a first-stage heat exchange device serves as a heatsource of a first-stage heat exchange station 25 in the heating period to supply heat to heat users 29 and supplies cold to the users in the non-heat supply period; a high-pressure electric boiler 24of a second-stage heat exchange device improves the boiler water feeding temperature, reduces heat absorbed by boiler fed water in an economizer 4, accordingly improves the boiler tail smoke discharging temperature, and guarantees normal running of an SCR denitration device 5; and according to a three-stage heat exchange device, exhaust steam of a turbine intermediate pressure cylinder 8 serves asheat source steam of a third-stage heat exchange station 27, the unit heat load is guaranteed, and the heat using requirement of the heat users 29 is met. The electric output adjusting capacity of the heat supply unit can be improved, it is guaranteed that the unit heat supply capacity is not decreased under the low load running working conditions, pyroelectric decoupling is achieved, and the electric output adjusting capacity of the heat supply unit is improved.

The invention discloses a heating-power system joint economic scheduling method by using heating network energy storage features. Influences of heating network energy storage on a thermoelectric unitare analyzed; constraints when the heating network keeps safe and stable operation after the thermoelectric unit changes a heating supply extraction flow are determined; according to specific reasonsfor wind curtailment generation by a power system containing a high proportion of thermoelectric units, a heating-power system two-stage scheduling policy considering the heating network energy storage is made; the system safety risk cost caused by wind power uncertainty is calculated; and a heating-power system joint economic scheduling model in consideration of heating network heat storage and wind power uncertainty cost and with the minimum wind curtailment amount as a target is built; and a fast particle swarm optimization algorithm is adopted to solve the model. The method of the invention can improve the peaking capability of the thermoelectric unit, the two-stage thermoelectric unit scheduling policy is adopted according to the specific wind curtailment reasons of the system in theheating supply stage, and system wind curtailment is thus reduced; and during the thermoelectric unit scheduling process, the wind power uncertainty is quantified as the risk cost and is added to a scheduling objective function, and the system operation cost and the risk can be coordinated.

The invention discloses a coordinated scheduling method for an electricity-hydrogen multi-energy complementary DC microgrid, and the method is established based on the electricity-hydrogen multi-energy complementary DC microgrid, and comprises the following steps: initializing each system; performing the day-ahead prediction of the output of a renewable energy power generation system and the localload demand; performing day-ahead economic dispatching based on the predicted power, the electric energy storage system reserve SOC and the hydrogen energy system reserve SOHC; predicting photovoltaic, fan output and local load requirements in real time in an ultra-short period; and carrying out real-time rolling optimization on the day-ahead economic dispatching result according to the ultra-short-term prediction result. According to the invention, through day-ahead and online coordinated scheduling, the normal operation of the electricity-hydrogen multi-energy complementary DC microgrid isensured, the optimal operation of the system is ensured, and the influence caused by uncertainty is reduced; and the economy of the system is improved, and the working efficiency of the microgrid is improved.

The invention relates to a coordination method and system for a wind storage access network source. The method comprises the steps that the benefits of a wind storage combined system and a power gridare determined; the wind storage combined system and the power grid are taken as game participants, and the optimal coordination scheme of the wind storage access network source is determined according to a pre-built wind storage-network coordination planning game model; and the wind storage-network coordination planning game model is built according to the benefits of the wind storage combined system and the power grid. According to the invention, in the market environment, the dynamic game planning of both sides of the wind storage-network is conductive to improving the enthusiasm of the power grid to absorb wind power, and is conductive to avoiding the blind configuration of energy storage; and an improved scheme is provided for source network uncoordination in the current planning of awind storage combined power plant.

The invention relates to an economic dispatching technology of a power system, in particular to a multi-source optimal dispatching method considering coordination of wind power, nuclear power and pumped storage. The method includes a step 1 of taking into account the cost of abandoning wind and the cost of peaking of nuclear power, and constructing a coordinated optimization model of wind core with multiple power sources; a step 2 of Linearizing the nuclear power peak shaving constraint by subdividing the nuclear power peak shaving depth, solve the scheduling model based on Cplex, and making the scheduling plan. By taking into account the cost of wind power and nuclear power peak load regulation, wind power and nuclear power are included in the coordinated dispatching, which can greatly alleviate the pressure of peak load regulation, reduce the frequent start-up and shutdown of conventional generating units, and improve the operation economy of the power system with wind power and nuclear power in the coastal area. By subdividing nuclear power peak shaving depth linearization nuclear power peak shaving constraint method, nuclear power peak shaving operation constraint linearizationis realized, so that the scheduling model can be solved efficiently based on commercial optimization solver Cplex, and an accurate optimal scheduling scheme can be obtained, which is helpful to reduce the system operation cost.

The invention discloses an operation method of an electricity-gas interconnection system including an electricity-to-gas transfer device. The method comprises the steps: establishing a multi-objectiveoptimization scheduling model with the minimum grid cost and the minimum discharge amount according to grid parameters; establishing a multi-objective optimization operation model with the minimum natural gas network cost and minimum carbon dioxide emission according to natural gas network parameters; and adjusting the output parameters of a gas turbine when the pressure of a node where the gas turbine is located is crosses the boundary. In addition, the present invention also discloses the electricity-gas interconnection system including the electricity-to-gas transfer device. The technicalscheme of the invention achieves the purposes of reducing wind abandonment and improving wind power consumption rate, achieves the stable, energy-saving, low-carbon and environment-friendly operationof the electricity-gas interconnection system, achieves the effective utilization of the wind energy under the background of the energy Internet and the clean low-carbon safe and efficient operation of the electricity-gas interconnection system.

The invention relates to a source network coordinated scheduling method for improving wind electricity admitting ability of power grid. Aiming at problems existing in large-scale wind electricity networking operation in China that transmittability of the power grid is limited and wind turbine generator preparing to enter network can not be scheduled to enter network. Steps are adopted that confirming transmit electricity space of a path of transmitting wind electricity, confirming relationship between the max generated power of wind electricity and installed capacity of wind electricity, ensuring that scheduling scheme of safe operation of the power grid is disposed conservatively and the like, so that under the condition of ensuring grid security, the transmittability of the power grid is used to the maximum, generated energy of wind turbine generator is increased obviously, and waste wind of the wind electricity is reduced. Economic benefit and environmental benefit of utilizing wind energy are improved.

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 provides a lateral error translation modification method of a wind electricity power forecast system. The method includes the steps that wind electricity power historical forecast and actual measurement data sequences are collected and are classified according to four seasons, and data of each season every year are divided into three kinds of power trend sections, that is a continuous power increasing section, a continuous power lowering section and an unchanged power section; duration time sequences of each power trend section are obtained according to power trend duration models, probability statistic analysis is carried out to obtain a macroscopic centralized distribution value, a wind electricity power forecast lateral error model is input to obtain a lateral error of each season every year, and a weighted average value of the lateral errors of each identical season of N years serves as a lateral error modification value of each season; translation modification is carried out on forecast power sequences supplied to power grid dispatching by the wind electricity power forecast system by means of the weighed average value, and the translation modification effect is evaluated on the whole. The method has common adaptability for power short-term or exceedingly-short-term forecast systems of wind electricity, photoelectricity and the like and can further improve precision of various power forecast systems.

The invention provides an intelligent operation and maintenance method, device and system of a wind power plant. The method comprises the following steps: oil online monitoring data of a wind power unit, vibration online monitoring data, wind power plant SCADA system data, wind power plant test planning data and wind power plant polling planning data are received to build wind power plant operation and maintenance tasks; the tasks are distributed according to the wind power plant operation and maintenance tasks and wind power plant comprehensive condition information to determine the task sequence, the working time, workers and working measures of the wind power plant operation and maintenance tasks; task operation guidance information corresponding to the wind power plant operation and maintenance tasks to be performed is generated according to the wind power plant operation and maintenance tasks to be performed, and the task operation guidance information is sent to terminal equipment of the workers for displaying; wind power plant operation and maintenance task backfill data of the terminal equipment of the workers is received; and the calculation and the analyzed are performedaccording to the wind power plant operation and maintenance task backfill data to determine if equipment related to the wind power plant operation and maintenance tasks is failed.

The invention discloses an electric power system secondary frequency modulation method based on DFIG and a synchronous generator. According to a synchronous generator frequency deviation, a connectingline net exchange power and a wind power predication error, an ACE value of a power grid is calculated, and furthermore the active power adjustment amount of each modulated frequency is distributed according to a wind power field and synchronous generator secondary frequency modulation adjustment participation coefficient, thereby realizing coordinated secondary frequency modulation control between DFIG and the synchronous generator. According to the electric power system secondary frequency modulation method, based on traditional power grid AGC controlling, influence of the wind power predication error to the magnitude of ACE is considered, and active standby of the wind power field is taken into the power grid secondary frequency modulation. Based on the traditional secondary frequencymodulation, a secondary frequency modulation adjustment coefficient of the wind power field is defined so that coordinated secondary frequency modulation control of the DFIG and the synchronous generator is realized.

The invention provides a method of improving a wind power consumption capability, comprising the steps of: (1) calculating the wind abandoning power of each moment before wind power consumption; (2) setting a controllable load variation value of each moment; (3) calculating a load after demand side response; (4) calculating demand side response total benefits; (5) setting the rated power and rated capacity of an energy storage system; (6) calculating the output curve of the energy storage system at each moment; (7) calculating a wind power output curve after wind power consumption; (8) calculating the wind abandoning power of each moment after wind power consumption; (9) calculating the wind abandoning electric quantity after wind power consumption in a day; (10) calculating wind power electric field investment energy storage costs; and (11) calculating the controllable load variation value, and the energy storage system rated power and rated capacity. The method reduces wind abandoning to the maximum, increases a wind power consumption capability, and takes full advantage of wind resources.

The invention discloses a direct-driven permanent-magnetic wind power generation system active power dynamic control method under a voltage drop condition. The method includes the following steps that: grid-connection point voltage is acquired, and whether voltage drop occurs is judged; when voltage drop occurs, an active power automatic adjustment mode is enabled for a machine-side converter of a direct-driven permanent-magnetic wind power generation system, and wind turbine variable speed and variable pitch control is enabled so that a wind turbine can be prevented from entering a speed-limiting protection mode; voltage UGi and power angle theta i outputted by a network-side converter of the direct-driven permanent-magnetic wind power generation system are acquired, and active power outputted by the network-side converter is calculated; and the active power is adopted to set the active power output of the machine-side converter, and the active power output of the machine-side converter is adjusted through adopting a double-closed loop vector control mode in which a power outer loop and a current inner loop are adopted. With the method adopted, direct-current side overvoltage caused by energy accumulation at a direct-current side when rid-connection point voltage drops in a wind power plant can be avoided, and wind curtailment of a wind field can be decreased. The method has the advantages of fast response time, low implementation cost as well as being simple and reliable.

The invention discloses a reactive voltage control sensitivity analysis method aiming at scaled wind power. The method comprises the following steps that a system sensitive equation is calculated; a Jacobi matrix including the studied node power or the voltage sensitivity information is calculated; the sensitivity control is carried out by aiming at the response features of each wind power plant. On the premise of ensuring the safe and economic operation of an electric network, the goals of greatly improving the receiving and sending capability of the electricity network on new energy sources, reducing the wind curtailment and improving the new energy online electricity quantity are achieved.

The invention provides a power planning method and device for a power distribution network, equipment and a computer readable storage medium. The power planning method comprises the steps that (1) the abundance and peak load regulation margin of a main transformer, a generator set and a power load outside a system are determined; (2) a probability corresponding to the abundance is predicted, and an abundance probability table is formed according to the abundance and the corresponding probability; (3) power balance calculation is performed according to the abundance probability table to obtain values of main transformer capacity, installed capacity and new energy set capacity needing to be increased outside the system; (4) power balance calculation is performed according to the abundance probability table to obtain off-grid capacity of the main transformer and capacity which should be generated by the generator set outside the system; (5) prediction is performed according to historical data to obtain a probability corresponding to the peak load regulation margin, a peak load regulation margin probability table is formed according to the peak load regulation margin and the corresponding probability, and the electric quantities of wind curtailment and light curtailment are obtained through calculation; and (6) a power load curve is corrected, so that the electric quantities of the wind curtailment and the light curtailment are smaller than a predetermined value.

The invention discloses a peak clipping and valley filling optimization scheduling method for a distributed energy storage power station during photovoltaic grid connection. The optimization scheduling method comprises the following steps: 1, obtaining wind power plant group prediction information, distributed photovoltaic prediction information, load prediction information and distributed energystorage power station charge capacity information; 2, calculating a daily net load value, establishing a target function by taking the minimum daily net load variance as a target to optimize the charging and discharging power of the distributed energy storage power station, and forming a day-ahead charging and discharging plan of the distributed energy storage power station; and 3, based on the system economy and the wind power priority scheduling principle, bringing the day-ahead charging and discharging plan of the distributed energy storage power station into system power balance constraint, and establishing an objective function by taking the lowest system operation cost as a target to optimize the output of the wind power plant group and the output of the conventional unit so as to form output plans of the wind power plant group and the conventional unit. According to the invention, the net load peak-valley difference caused by distributed photovoltaic grid connection is reduced through the energy storage power station, and the power grid regulation capability is improved.

The invention relates to a unit combination calculation method considering large-scale wind power consumed by electric vehicles. A wind curtailment cost model and a direct purchase model of wind powerand a charging and discharging cost model and a battery aging cost model of electric vehicles are established by taking the emergency demand response of conventional thermal power generating units, awind power plant, plug-in electric vehicles and a load side as a research object, a demand response model is established, a unit combination model considering large-scale wind power consumed by electric vehicles with the objective of minimum total operation cost of the system is established on the basis, and the problem is solved by an optimization algorithm based on teaching and learning. According to the invention, the charging and discharging power, the charging and discharging efficiency, the battery aging cost and the corresponding total charging and discharging cost of plug-in electricvehicles are studied, the influence of participation of the electric vehicles in scheduling on the total operation cost of the system is analyzed, and the self-elasticity and mutual elasticity of theload are considered in the demand response, so that an emergency demand response plan is formulated, the total operation cost of the system can be remarkably reduced, and the load curve is optimized.

The invention discloses a day-ahead scheduling optimization method for a micro-energy network with electricity-heat-gas combined supply, mainly solving the problems of randomness and uncertainty of intermittent energy sources such as wind power and the like in the prior art. The day-ahead scheduling optimization method comprises the following steps: (S1) establishing a double-layer robust optimization scheduling model; (S2) optimizing a scheduling objective function on the basis of the established double-layer robust scheduling mode; (S3) establishing constraint conditions of double-layer robust optimization scheduling; and (S4) solving the model by using a column sum constraint generation algorithm. According to the scheme, the micro-energy grid can meet various loads, so that the robustness of the model is realized, and the practicability is higher, and the economic benefit is better, and the day-ahead scheduling optimization method has very high practical value and promotional value.