137 results about "Power generation scheduling" patented technology

The invention discloses a medium-term and long-term combined power generation optimal scheduling method and a medium-term and long-term combined power generation optimal scheduling system in a cascade reservoir group. The method comprises the following steps that: S1, a scheduling server establishes and stores three medium-term and long-term optimal scheduling models, namely a model of largest cascade power generation capacity, a model of largest cascade power generation capacity which gives consideration to guaranteed output, and a model of largest cascade energy storage; S2, the scheduling server selects an optimal medium-term and long-term optimal scheduling model according to a power generation optimal objective; S3, a data acquisition device acquires materials required for solving the models, and the scheduling server solves the medium-term and long-term optimal scheduling models by selecting algorithms; and S4, the scheduling server generates and outputs a medium-term and long-term power generation scheduling optimal scheme. By the method and the system, the phenomenon that a large quantity of optimization variables and constraint conditions of cascade reservoir optimal scheduling influence computational efficiency and result reasonability can be avoided; and an optimal medium-term and long-term combined power generation optimal scheduling scheme is obtained.

The invention provides an environmental economy power generation dispatching method. The environmental economy power generation dispatching method comprises the steps of establishing a multi-target scheduling model taking power output stability of a thermal power generating unit and a hydroelectric generating set into consideration, wherein the multi-target scheduling model comprises an objective function and a constraint condition; inputting preset a real-time system expected loss of a load; solving the Pareto optimality leading edge of environmental economy scheduling based on the multi-target particle swarm optimization to obtain the historical Pareto optimality solution set; calculating the satisfaction degree of Pareto optimality solutions and selecting the optimality solution with the highest satisfaction degree as the needed environmental economy power generation dispatching result. The environmental economy power generation dispatching method can provide a wind-fire-water coordinated optimized scheme containing operational risks, and is reasonable and practical.

The invention belongs to the technical field of electric power system dispatching automation and relates to a water, fire and light combined optimization power generation scheduling optimization method considering security constraints. According to the water, fire and light combined optimization power generation scheduling optimization method, the objective of the method is to realize minimum power generation cost of a system; comprehensive considerations are given to coordinated scheduling of hydroelectric, thermal power and photovoltaic power generator sets; all kinds of constraint conditions are considered, such that optimal computation is performed power generation scheduling of the generator sets; safe access of new energy such as photovoltaic power generation power can be ensured; the improvement of intelligent level and decision making ability of power generation scheduling after the access of the new energy can be facilitated; and through interactive iteration solution of two sub-problems of optimization calculation and safety correction, the power generation scheduling of the hydroelectric, thermal power and photovoltaic power generator sets, which satisfy a requirement for network safety, can be obtained, and therefore, the performability of the power generation scheduling can be ensured. The water, fire and light combined optimization power generation scheduling optimization method considering security constraints of the invention is advantageous in low calculation strength and strong adaptability, and is more suitable for being popularized and applied to scheduling mechanisms of which photovoltaic power generation power access power is larger in China.

The invention relates to an assessment method with the consideration to low-carbon scheduling and emission reduction benefit of carbon transaction, and the method comprises the steps: building a low-carbon power generation scheduling daily planning model, wherein the low-carbon power generation scheduling daily planning model comprises a carbon transaction model, a thermal power generating unit cost model with the consideration to the carbon transaction, a wind power cost model with the consideration to the carbon transaction, a low-carbon scheduling target function, and an emission reduction benefit calculation model; and obtaining the carbon emission with the consideration to the carbon transaction price and the emission reduction benefit, brought by the consideration of the carbon transaction cost, through the built model. The method can be used for providing an optimization control strategy for the daily power generation scheduling, reduces the carbon emission, improves the power generation proportion of clean energy, and quantifies the emission reduction benefit in a mode of low-carbon scheduling.

The invention relates to the field of power grid generation planning and energy-saving running of thermal power generating units and discloses an energy-saving method for distributing load for thermal power generating units by combining dynamic unit combination with equation incremental rate method. Requirements of energy-saving generation dispatching of a power grid and practical running of the thermal power generating units are met, energy saving and consumption reduction of the power grid and reasonable adjustment of exertion of the thermal power generating units when load fluctuates are realized. The technical scheme includes that by means of dynamic unit combination, combination of the thermal power generating units involved in system load adjustment is determined, and exertion values of the units are determined by the equation incremental rate method taking exertion continuous periods constraint table and creep and descending speed constraint into consideration; unit exertion trend revising policies are introduced, unit exertion is revised according to difference between exertion adjustment trends and system load variation trends, and accordingly, a final load adjustment scheme is obtained. The problem that distribution results are not complied with practical running requirements when generation sequence and the equation incremental rate method are applied to load distribution is effectively solved, practicality and stability of the energy-saving method are verified by practical application, and the energy-saving method for distributing load for thermal power generating units by combining dynamic unit combination with equation incremental rate method has rational and practical reference significance in energy-saving generation dispatching of other power grids.

The invention relates to a multi-energy complementary coordinated power generation scheduling method based on a wind-light-water-fire storage combined system, which is characterized by comprising thefollowing steps of firstly, simulating a time sequence for producing the wind power/photovoltaic output by utilizing an improved Markov chain method; secondly, determining load requirements, minimum economic output of a thermal power generating unit and boundary conditions of forced output of a hydraulic power plant, and calculating a renewable energy power generation operation feasible region; then, preferentially arranging wind power and photovoltaic power generation in the renewable energy power generation operation feasible region, and formulating a water and electricity dispatching strategy on the basis of the wind power and photovoltaic power generation; and finally, comprehensively considering the operation cost of the thermal power generating unit and the energy storage operation cost considering life loss; formulating a thermal power generating unit and energy storage combined dispatching strategy with the minimum total operation cost of the thermal power generating unit and energy storage in the dispatching period as the target, solving a corresponding optimization objective function through a particle swarm algorithm, and then obtaining the wind-light-water-heat-storagecombined system dispatching strategy. The method has the advantages of scientificity, reasonableness, simplicity, applicability and the like.

The invention discloses a novel group searching method for optimal scheduling of cascade reservoir groups, and relates to the field of power generation scheduling of a hydropower system. An elite set dynamic updating strategy is combined with a neighborhood variation search mechanism, global search and local exploration are considered in a balanced manner in the method, and both the diversity of population and the convergence speed of the method are taken into consideration. The water level of a hydropower station serves as a state variable, an optimization target is to maximize the comprehensive generating capacity of the cascaded reservoir groups in a scheduling period, a certain amount of spider individuals are initialized, internal corporation of the sub-spider groups, marriage of heterosexual individuals, dynamic update of elite individuals and a neighborhood variation search strategy are implemented generation by generation, and an optimal scheduling strategy of the cascade reservoir groups is approached gradually. Dynamic update of the elite individuals can ensure that introduced elite spider population evolutes effectively, and the searching capability and the exploration capability of the method are balanced; the excellent individual neighborhood variation strategy can maintain the population diversity, and the calculation speed and the convergence speed of the method are improved; and the method has high population value and good application prospects.

The invention discloses a wind power prediction method. The method comprises the following steps: collecting sample data and processing; establishing a BP (Back Propagation) neural network model by using the processed sample data, and training the BP neural network model to obtain a final weight, a threshold value and a relative error sequence of a prediction value relative to a sample value; solving an initial prediction value of output power according to the weight and the threshold value after the training is completed; calculating a calculation relative error state corresponding to the initial prediction value of the output power by using a markov chain error correction model; combining the initial prediction value of the output power with the corresponding calculation relative error state to calculate corrected power. According to the method, the accuracy of wind power prediction is further improved, and an accurate wind power prediction value is provided for daily power generation scheduling and secure economic dispatch of a wind power generation power grid.

The invention discloses a power generation scheduling method based on a high-dimension wind-electricity prediction error model and the dimensionality reduction technology. The method comprises steps of: acquiring history output data of each hour in one year of multiple wind power plant and corresponding point prediction data; using a mixed skewness model to carry out modeling on accumulated distribution functions of actual output and predicted output of each wind power plant; using the CDF of each wind power plant to convert the actual output value and the prediction value into data points distributed in 0-1 intervals; by matching all data points obtained in the previous step, finding out the optimal Copula function and carrying out parameter estimation; establishing high dimension condition probability model of multiple wind power plant prediction errors, and obtaining edge condition probability models subjected to dimensionality reduction trough edge conversion; and according to the edge condition probability models of the wind power plant prediction errors, calculating the current scheduling plan of the generator unit and the rotation standby capacity. Compared with the common gauss distribution and beta distribution, the power generation scheduling method is quite high in precision, and effects of relevance between multiple wind power plants can be considered.

The invention provides an economic operation real-time power generation dispatching and control method. The method comprises a rolling plan, including the steps of obtaining a difference value between ultra-short-period power generation demand forecasting of a first time frame and a day-ahead plan; if the difference value is greater than a preset value domain, correcting a unit output value; if the difference value is less than or equal to the preset value domain, obtaining a difference value between the ultra-short-period power generation demand forecasting of the t+1 time frame and the day-ahead plan until the difference value is greater than the preset value domain, and correcting the unit output value, wherein t is an integer greater than 1; obtaining a difference value between the ultra-short-period power generation demand forecasting of the t+2 time frame and the last corrected value; and if the difference value is greater than the preset value domain, correcting the unit output value. According to the scheme, the real-time dispatching and control for the power generation system are realized based on the difference value between the ultra-short-period power generation demand forecasting and the day-ahead plan, so that human intervention is greatly reduced, the working efficiency of dispatchers and the dispatching accuracy are improved, and the problem of low real-time property and low accuracy of the power dispatching in the prior art can be solved.

The invention relates to the field of new energy grid connection. The invention aims to provide a heterogeneous energy complementary power generation scheduling method based on grid-source mutual feedback. The method considers both the power supply side and the power grid side, and construct a heterogeneous energy complementary power generation short-term optimization scheduling model based on grid-source mutual feedback; and two targets with the maximum power-load matching degree and the minimum clean electric energy abandoning quantity are decomposed into sub-models, thereby reducing the solving difficulty, and improving the calculation efficiency; and new energy is consumed as much as possible under the condition that the power supply and the load are highly matched, and the cascade water and electricity abandoning amount is reduced, thereby maximizing the utilization of clean energy, and providing stable high-quality electric quantity for a power grid.

The invention discloses a multi-parameter optimized drawing method and system for annual regulation reservoir power generation scheduling graphs. The method comprises the following steps of: setting apower generation scheduling graph drawing parameter and setting a value range of the power generation scheduling graph drawing parameter; initializing a parameter of a particle swarm optimization algorithm and determining each generation of particle swarm according to the power generation scheduling graph drawing parameter and the value range, and drawing a candidate annual regulation reservoir power generation scheduling graph corresponding to each particle in each generation of particle swarm; carrying out combined power generation scheduling simulation run on the candidate annual regulation reservoir power generation scheduling graph corresponding to each particle in each generation of particle swarm through a cascade reservoir and a power station combined power generation scheduling model, and selecting a globally optimal solution of the final generation of particle swarm, namely, a candidate annual regulation reservoir power generation scheduling graph corresponding to a maximumannual mean power generation capacity of the cascade reservoir, as an optimum annual regulation reservoir power generation scheduling graph of a target reservoir. The method and system are capable ofcomprehensively reflecting the law of scheduling run and considering combined scheduling of cascade reservoirs so as to obtain simple and easy annual regulation reservoir power generation scheduling graphs.

The invention belongs to the field of power generation scheduling of power systems and discloses a network province two-stage multi-power short-period coordination peak shaving method. On a network province two-stage coordination platform, the operation characteristics of different types of power sources such as water, fire, pumping storage and nuclear power can be given full play to on the basis of the daily load complementary characteristic of a plurality of provincial level power grids, and the peak shaving requirements of the multiple power grids are coordinately met. According to the technical scheme, an original problem is decomposed into a pumping storage sub-problem, a conventional hydropower sub-problem, a conventional thermal power sub-problem and a conventional nuclear power sub-problem which are independent of one another according to the types of the power sources, and a pumping storage heuristic search algorithm, a water and electricity hybrid dimensionality reduction algorithm and a thermal power load shedding peak shaving algorithm are adopted for solving the sub-problems; on the basis, system loads are used as correlation factors, the preceding algorithms and an internetwork electric power distribution quadratic programming method are coupled to form a coordination framework of the sub-problems, electric power distribution of power stations among the multiple power grids is adjusted through iteration, and the differential peak value load requirements of the multiple provincial level power grids are met. Through the method, the multiple power sources and the multiple power grids can efficiently and coordinately run, a regional power grid network debugging power source peak shaving effect can be played better compared with actual scheduling, and the method is efficient and practical.

The invention discloses an adaptive optimization method and system for power generation scheduling of a cascade hydropower system. The method comprises the steps of determining a constraint conditionset of each hydropower station; Setting calculation parameters and generating an initial population; Calculating the individual fitness and updating the historical position of the individual and the global optimal position of the population; Updating the position of each individual by adopting a standard sine-cosine algorithm; Adopting a population position center variation strategy to increase individual diversity, introducing a neighborhood search strategy to improve population global optimization capability, and utilizing a simplex dynamic search strategy to enhance algorithm convergence speed; And continuously updating the position of each individual through multi-round iteration, and taking the population global optimal position obtained in the last round as an optimal scheduling process. The Yangtze River basin engineering application result shows that the method has the advantages of being high in calculation precision, high in optimizing speed, high in searching capacity, highin robustness and the like, the overall power generation benefit of the cascade hydropower system can be remarkably improved, and the method has important engineering application value.

The invention provides a power system source-load-storage coordinated rolling scheduling method based on flexibility margin, and relates to the field of power generation scheduling of power systems. The method comprises the following steps: firstly, determining an uncertain interval of wind power output and load, and establishing a flexible supply capacity model corresponding to each flexible resource; on the basis, respectively establishing a power system flexibility demand capacity model and a flexibility supply capacity model, and determining a flexibility margin index; then establishing asource load storage day-ahead coordination scheduling model and solving; and in each rolling period in the day, establishing and solving a source load storage intra-day rolling scheduling model of therolling period, and finally obtaining a scheduling result of each intra-day rolling period. Flexible resources such as a wind turbine generator, a thermal power generating unit, a gas-electric unit,a pumped storage unit and an interruptible load are taken into consideration, actual engineering can be effectively met through the scheduling plan formulated by the invention, and the operation economy and reliability of a power system are optimized.

The invention relates to the technical field of mobile terminals, and provides a hydropower water release and additional issue transaction management method and system. The method includes the steps that a mathematic model aimed at least comprehensive power purchase cost, the minimum power consumption and the lowest pollution discharge level is built, and the model is a multi-target optimization model; by means of a linear weighting method, the multi-target optimization model is converted into a single-target optimization model with compressive cost as a target; a unit order table is built; a hydropower emergency transaction mode is built on the basis of the unit order table; water release power sharing is carried out according to the transaction mode, cost is calculated according to a water release power price, and a transaction is finished. According to the method, the mathematic model for energy-saving power generation scheduling suitable for trans-provincial area power market situations is built, the mathematic model integrates economic benefits and hydropower water release and additional issue. By means of a heuristic method, the mode suitable for hydropower emergency transactions of the central China area is designed, and transaction computation and control is carried out according to the mode.

The invention discloses a basin future hydroelectric power generation capacity prediction method and system considering climate change, and belongs to the field of hydrological forecasting and power generation scheduling crossover, and the method comprises the steps: predicting basin future rainfall and air temperature scenes through the combination of GCMs forecasting factors and a statistical downscaling model; collecting historical runoff data, inputting basin historical meteorological data and the historical runoff data into the VIC hydrological model, calibrating and checking model parameters of the VIC hydrological model to obtain a basin rainfall runoff model, and inputting predicted basin future rainfall and temperature scenes into the rainfall runoff model to obtain a basin section future runoff scene; and establishing a basin reservoir group combined power generation optimization scheduling model, inputting the basin section future runoff situation into the basin reservoir group combined power generation optimization scheduling model, and predicting the basin future hydropower generation capacity. Basin climate changes are considered, uneven basin underlying surface distribution is considered, and the problem of dimensionality disasters of large-scale reservoir group scheduling is relieved.

The invention provides a provincial power grid hedging electricity purchase optimization method. The method specifically comprises the steps of S1, acquiring data, wherein the data comprises load prediction data, the inter-provincial tradable electricity quantity, hydroelectricity prediction output, a local unit power generation schedule, an inter-provincial connecting line schedule and the like, S2, carrying out data analysis and processing, and calculating compressible space of a local thermal power unit in the next month, S3, building a provincial power grid hedging electricity purchase optimization model, and S4, designing a solving algorithm of the hedging electricity purchase optimization model. The step S4 further comprises the sub-steps of S4-1, calculating the lowest power generation capacity of the thermal power unit in the current month, and determining the electricity purchase optimization space, S4-2, comparing the inter-provincial transaction electricity price and the thermal power on-grid price with the transmission loss being considered, and carrying out rank ordering, and S4-3, firstly arranging uncontrollable power generation scheduling output and the lowest power generation of the thermal power unit with the insufficient section being undertaken by hydroelectricity, sequentially arranging thermal power and extra-provincial electricity according to a sequence from low to high of the on-grid price if the power is still insufficient, and ensuring the total power generation of various power supplies in the current month to meet an upper limit restriction until a load requirement is satisfied. The electricity purchase optimization method provided by the invention can significantly improve the on-grid proportion of clean power such as wind power and photovoltaic power, and the electricity purchase cost of a power grid company is reduced.

The invention belongs to the field of hydropower energy optimization, and particularly discloses a hydropower station group power generation scheduling rule extraction method. The method comprises thesteps of establishing an objective function by taking maximum annual power generation capacity of a hydropower station group as an objective and constraint conditions thereof, and performing solvingto obtain an output flow optimal solution of each reservoir in each time period; establishing a generalized regression network by taking the input flow and the reservoir water level corresponding to each time period of each reservoir as input and the output flow as output; and optimizing a generalized regression network smoothing factor to obtain a scheduling function by adopting a particle swarmmethod based on a community gravity center based on the known input flow and reservoir water level corresponding to each time period of each reservoir, the output flow optimal solution and the training error minimum target function. According to the method, deep learning and cascade hydropower station power generation scheduling are combined, the generalized regression network corresponding to thescheduling function is established, the cascade hydropower station power generation scheduling rule based on the community gravity center particle swarm and the generalized regression network is extracted, the defect that a basic traditional particle swarm algorithm is prone to falling into local optimum is overcome, and reliability is high.

A computer-implemented method of unit scheduling optimization for a hydroelectric plant in a bilateral market includes: minimizing flow of water through the hydroelectric plant to meet a generation schedule, wherein integer linear programming is used for the minimizing and a set of constraints used for the minimizing includes a minimum dissolved oxygen concentration downstream of the hydroelectric plant. The minimum dissolved oxygen concentration downstream of the hydroelectric plant may be at least 6.0 milligrams per liter. The hydroelectric plant may include at least two turbines disposed in the flow of water in a cascading arrangement.

The invention provides a reservoir stage power generation scheduling rule extraction method. Stage influence factors are screened based on grey relational analysis, a multivariate nonlinear regressionmodel, a support vector machine model and a BP artificial neural network model are adopted to fit and then obtain a stage reservoir power generation scheduling function, and a Bayesian model averaging method is applied to perform multi-model weighted averaging to obtain a final stage reservoir power generation scheduling function. According to the invention, GRA is introduced into the reservoir scheduling rule simulation for influence factor screening, so redundant attributes are removed, the model complexity is reduced, and the model simulation efficiency is improved; GRA and EVA are combined to realize the stage extraction of reservoir power generation rules, so the inconsistency of the correlation between decision variables and the influence factors for different periods of reservoir scheduling is balanced, the uncertainty of a single model which may be caused by the model structure is balanced, and the model simulation precision is improved; the requirement for reservoir power generation scheduling rule extraction is met, and the benefits of determinacy optimization scheduling in the power generation process are well inherited.

The invention discloses a cascade reservoir power generation scheduling method and system, and belongs to the field of reservoir optimal scheduling. The method specifically comprises the following steps: determining a cascade reservoir reserved flood control reservoir capacity distribution method set by utilizing the size of the reserved reservoir capacity at the end of a cascade reservoir scheduling period; according to the reserved flood control reservoir capacities allocated to all the reservoirs, deducing the scheduling period end water level corresponding to the reserved flood control reservoir capacities through a reservoir water level reservoir capacity curve, and forming a cascade reservoir scheduling period end water level set; establishing a power generation scheduling model taking the maximum power generation capacity of the cascade hydropower station as a target by utilizing the initial water level and the final water level of the cascade reservoir scheduling period and thepower generation flow and constraint conditions of the reservoir; and solving the power generation scheduling model by adopting a deterministic optimization scheduling method, and screening out the optimal operation mode of the cascade reservoir. By converting the reserved flood control reservoir capacity of the cascade reservoir in the drainage basin dispatching period into the water level constraint at the end of the dispatching period, the power generation benefit of the cascade reservoir is maximized on the premise of guaranteeing flood control safety, and the flood control benefit and the power generation benefit are both considered.

The invention discloses a cascade reservoir short-term optimization scheduling method and system coupled with riverway hydrodynamic processes and belongs to the field of reservoir power generation scheduling in reservoir scheduling. The method comprises the steps that: S1, a one-dimensional hydrodynamic process calculation method is used for describing the hydraulic connection of a cascade reservoir, the maximum power generation capacity of a cascade hydropower station serves as an objective function, and a cascade reservoir short-term optimal scheduling coupling model based on hydrodynamic reservoir inflow evolution is constructed; and S2, for the hydraulic connection, the coupling model is solved by using a DPSA-POA algorithm, so that the optimal scheduling result of the cascade reservoir can be obtained, wherein the scheduling result comprises a dam upstream water level process, a reservoir discharge flow process and an output process. According to the method, the waterpower relationship of the cascade reservoir is described by using the riverway one-dimensional hydrodynamic process calculation method, so that the aftereffect influence of water flow hysteresis can be eliminated,the reservoir inflow process of the downstream reservoir can be calculated more accurately; and therefore, a reservoir water level result obtained by optimization is more reasonable, and cascade water energy utilization efficiency is improved.

The invention provides a thermal power generating unit monthly power generation plan optimization method considering new energy access, and relates to the field of power generation scheduling of a power system. The method comprises the following steps: firstly, acquiring information of each thermal power generating unit in a provincial power system, and establishing a monthly thermal power generating unit combination optimization model; making a monthly startup rule of the thermal power generating unit, and checking the maximum and minimum total output of the thermal power generating unit to obtain a monthly startup plan of the thermal power generating unit; solving the model to obtain a monthly output plan of the thermal power generating unit; optimizing a unit shutdown plan based on a monthly shutdown rule of the thermal power unit; and finally, obtaining a monthly power generation plan optimization scheme of the thermal power generating unit composed of the three plans. According tothe method, the monthly power generation plan meeting the actual engineering requirements can be efficiently calculated, the actual production requirements of power dispatching under tens of thousands of variable levels of provincial power companies are effectively met, and the method has important practical significance.