64results about How to "Improve consumption rate" patented technology

The invention relates to the field of short-term load prediction and power dispatching control of a power system, in particular to an energy output optimization dispatching method and system considering a random source load virtual power plant, and designs a virtual power plant double-layer optimization dispatching model. The lower-layer model constructs a user load prediction model of an improved Transform, and then a renewable energy output model is established by using a scene generation method; the upper layer model takes the power generation cost minimization of the wind-light storage and combustion virtual power plant as a target, considers constraint conditions such as gas turbine output power, ramp rate, energy storage charging and discharging power, electricity storage quantity and power balance, and proposes a single guide target function comparison algorithm considering random source load to carry out optimization solution on a virtual power plant optimization scheduling target function; and planning and deciding the output of each energy source in the next 24 hours. Experiments show that the new energy consumption level can be remarkably improved under the random source load condition, and better economic benefits are obtained while stable operation of a power distribution system is promoted.

The invention relates to a weight-losing enzyme and a preparation method thereof, and belongs to the technical field of biology, and the weight-losing enzyme comprises a fruit enzyme, a vegetable enzyme, a seed enzyme and a lotus leaf extract; the fruit enzyme is obtained by performing enzymolysis on mixed fruit pulp of apples, lemons, grapefruits and haws through pectinase, performing enzymolysis through pepsase and performing co-fermentation through bifidobacterium longum and lactobacillus acidophilus; the vegetable enzyme is obtained by performing enzymolysis on mixed vegetable pulp of wax gourd pulp, celery and spinach through pectinase, performing enzymolysis through pepsin and performing fermentation through lactobacillus plantarum and bifidobacterium adolescentis; the seed enzyme is obtained by carrying out trypsin enzymolysis on mixed powder of semen raphani and phaseolus calcaratus, then carrying out nattokinase enzymolysis and then fermenting with bifidobacterium breve; the lotus leaf extract is obtained by sequentially carrying out enzymolysis on lotus leaves through hemicellulase, snail protease and nattokinase. All the components are matched for use, so that the weight-losing food has the effects of promoting digestion, inhibiting fat absorption, regulating intestinal flora, promoting metabolism and the like, and has a good weight-losing effect.

The invention belongs to the technical field of island integrated energy systems, and particularly discloses a short-time scale low-carbon optimal scheduling method and system for an island integrated energy system, and the method comprises the steps: constructing an electricity-hydrogen-heat multi-energy coupled island integrated energy system model; constructing a real-time stepped carbon transaction model based on the interval to which the carbon emission quota participating in the carbon emission transaction belongs by using an island integrated energy system model; on the basis of a real-time stepped carbon transaction model, deviation penalty of new energy prediction is considered, one day is divided into n scheduling cycles, n is an integer larger than 1, a target function is constructed with the highest total income of a system as an optimization target, the optimization target is solved, and an optimized scheduling result is obtained. According to the invention, wind energy, solar energy, wave energy, stored energy, a photo-thermal power station and other energy sources are co-scheduled with electricity, hydrogen and water loads to form a dynamically balanced energy system; and high consumption and low carbon emission are kept as far as possible.

The invention provides a coordination control method and device for off-grid new energy hydrogen production, electronic equipment and a medium, and relates to the technical field of new energy hydrogen production. The coordination control method for off-grid new energy hydrogen production comprises the following steps: performing first coordination control on off-grid new energy hydrogen production based on a steady-state control mode under the condition that the actually measured current frequency of a system is within an adjustment dead zone range; under the condition that the current frequency of the system is not in the adjustment dead zone range, performing second coordination control based on the transient state control mode; after the second coordination control, under the condition that the current frequency of the system is not in the adjustment dead zone range, third coordination control is carried out on off-network new energy hydrogen production based on the emergency control mode; and after the third coordination control, under the condition that the current frequency of the system is not in the adjustment dead zone range, determining a to-be-cut power value of off-grid new energy hydrogen production according to an overcut principle. According to the method, the load adjusting characteristic of the hydrogen production electrolytic cell is considered, source-load interaction is achieved, and the absorption rate of new energy is increased.

The invention relates to the technical field of multi-objective optimization operation of a hybrid pumping and storage-containing water-wind-solar complementary system, and discloses a hybrid pumping and storage optimization scheduling method and system considering peak regulation and risk avoidance. The method comprises the following steps: acquiring historical data of a cascade basin water-wind-light power station and a power grid load, generating scheduling initial data through prediction, and generating scheduling scene data capable of representing the uncertainty of new energy based on the scheduling initial data and a prediction error; constructing an optimization model, solving the optimization model, and based on the solution of the optimization model, generating scheduling instructions of the drainage basin cascade hydropower station and the hybrid pumped storage power station; through the optimization model, the risk of power abandoning and load losing at the hydropower side is minimized, collaborative optimization meeting the peak regulation requirement of the power grid side is achieved, the flexible regulation advantage of hybrid pumping and storage is brought into full play, and stable operation and reliability of the system are promoted; and through linear processing, the solving speed and precision are improved, the real-time calculation efficiency of the system is ensured, and making of a scheduling decision is more efficient.

The invention relates to the technical field of photovoltaic energy storage methods, and discloses a method for optimizing hybrid photovoltaic energy storage based on a Perturbobserve algorithm, which comprises a load, a photovoltaic power generation subsystem, an energy storage subsystem, a control and management system and a grid-connected system. The specific control method comprises the following steps: S1, obtaining an illumination intensity value within one day through a meteorological station, and obtaining a power grid net load value within one day through a voltage sensor and a current sensor; s2, taking economy optimization as a target, considering photovoltaic energy storage capacity constraints, and establishing an energy storage SOC control strategy target function; and S3, solving is carried out by using a PerturBobserve algorithm, and an optimal control pulse sequence is obtained. By optimizing the charging and discharging time and intensity of the energy storage battery, the consumption rate of photovoltaic power generation is maximized, the light abandoning phenomenon is reduced, and the energy loss in the charging and discharging process is reduced. Meanwhile, the PertuBobserve algorithm can avoid the excessive charging and discharging of the energy storage battery while considering the system load, prolongs the service life of the battery, and solves the problem of insufficient management of the service life of the battery in a traditional method.

The invention relates to a multi-target optimization scheduling method for a rural distributed integrated energy system. The method comprises the following steps: establishing an hour-level day-ahead optimization scheduling model by taking the minimum demand response scheduling cost as a target; solving the day-ahead optimal scheduling model by using a Pareto method, and seeking an optimal solution to obtain a day-ahead scheduling plan; establishing a minute-level intra-day optimization scheduling model by taking the minimum net load fluctuation as a target; and solving the intra-day optimal scheduling model to obtain an intra-day scheduling plan. According to the invention, through multi-objective optimization scheduling, the stability and reliability of overall power supply are improved; the requirement for stable operation of the system is met through adjustment of the flexible resources, and compared with a mode of starting and stopping a unit in a traditional method, flexible resource scheduling is more flexible and applicable; on the basis of meeting the power supply reliability of the power grid, load fluctuation can be reduced, the operation efficiency of various devices of the power grid is improved, various demand responses of a user side are effectively utilized, and the flexible development demand of the power grid in future is met.

The invention provides a wind, light, fire and nuclear storage integrated scheduling architecture based on a complex and uncertain environment of a cold region power grid, and relates to the technical field of power grid system processing, the architecture comprises a data acquisition and monitoring layer, an analysis and decision layer, a control execution layer and an evaluation and optimization layer, the anti-freezing and deicing technology of the power transmission line effectively improves the reliability of equipment in severe environments such as low temperature and ice and snow, guarantees the stability of power transmission of a power grid, reduces equipment faults and power failure accidents caused by cold environment factors, enhances the anti-risk capability of the whole power grid, and improves the safety of the whole power grid. According to the method, characteristics and complementary relations of multiple energy sources of wind, light, fire and nuclear storage are comprehensively considered, peak regulation and frequency modulation analysis and decision making and integrated regulation and control analysis and decision making are carried out, and by constructing a reasonable operation scene and a scheduling model, optimal configuration and cooperative operation of power generation resources can be achieved under different operation conditions.

The invention relates to the technical field of power system optimization operation, and discloses a cascade water-wind-light combined peak regulation method and system containing a hybrid water pumping station, and the method comprises the steps: obtaining the historical data of a cascade watershed wind-light power station, and predicting the scheduling data of the cascade watershed wind-light power station; an optimization model is constructed, and solving is carried out; and based on the solution of the optimization model, generating a scheduling instruction of the cascade watershed wind-solar power station. By optimizing the model, the adjusting efficiency of the hybrid pumped storage power station is effectively improved, and the hybrid pumped storage power station can flexibly participate in peak regulation of a power system. And meanwhile, the consumption rate of new energy such as wind power and photovoltaic energy is remarkably improved, and the phenomenon of electricity abandoning is reduced. And by reasonably controlling the operation of the thermal power generating unit, the dependence on thermal power is reduced, so that carbon emission is reduced, and environmental protection and sustainable development are promoted. In addition, by smoothing the residual load of the system, the load peak-valley difference is reduced, the stability of the power grid is enhanced, and the economic burden of system operation is reduced.

The invention discloses a control method and device of an air conditioner, cloud computing equipment, electronic equipment and a medium, power is supplied to a load through a power supply system, the power supply system comprises a photovoltaic device and a battery device, the load comprises the air conditioner, and the control method of the air conditioner comprises the steps that target data of the power supply system is obtained, the target data of the power supply system comprises photovoltaic power data of a photovoltaic device and battery data of a battery device; based on target data of the power supply system, determining a target interval in which the power of the photovoltaic device is located from the plurality of power intervals obtained by division; and on the basis of the target interval, the on-off state of the air conditioner is controlled so as to change the number of the air conditioners in the on-state, and / or the air outlet direction of the air conditioner is controlled. According to the control method of the air conditioner, the number of the air conditioners in the start-up state and the air outlet direction of the air conditioners are adjusted in combination with the interval where the power of the photovoltaic device is located, when the photovoltaic power is sufficient, the photovoltaic power consumption rate can be increased, and the air conditioner brings better temperature experience to a user by consuming the photovoltaic power.

The invention discloses a park network reconstruction method considering conditional value-at-risk. The method comprises the following steps: 1) constructing a park network reconstruction model considering distributed power supply and load uncertainty; 2) constructing a park conditional value-at-risk model based on a risk measurement theory, and adding the conditional value-at-risk model into the park network reconstruction model; 3) constructing a park network reconstruction model repair strategy constraint considering the conditional value-at-risk; and 4) solving the park network fault reconstruction optimization model to obtain an optimal reconstruction scheme of the park network. According to the method, the park network reconstruction optimization model considering the conditional value-at-risk is constructed, the park network optimal reconstruction scheme is obtained, and the safety and reliability of park system operation are improved.

The invention discloses a source network storage two-stage distributed robust operation method and system considering risk avoidance. The method comprises the following steps: acquiring operation data of a power system source network storage; establishing a source network storage mathematical model comprising a distributed power supply, a flexible multi-state switch and an energy storage system; constructing a source-network-storage two-stage distribution robust operation optimization model containing conditional value-at-risk, optimizing day-ahead operation into a first stage and intra-day real-time optimization into a second stage by the operation optimization model, and taking the sum of the first-stage operation cost, the second-stage adjustment cost and the conditional value-at-risk as a target function to obtain a source-network-storage two-stage distribution robust operation optimization model containing the conditional value-at-risk; constructing a probability distribution fuzzy set of the output prediction error of the distributed power supply based on the norm distance, and determining the boundary of the fuzzy set by using a data driving mode; and solving the two-stage distribution robust operation optimization model by using a column and constraint generation algorithm to obtain an operation scheduling scheme of the source network storage. The method can effectively improve the consumption rate of the distributed power supply, and has higher anti-risk capability.

The invention discloses a micro-energy network shared energy storage configuration method and device and a storage medium. The method comprises the following steps: acquiring basic data of a micro-energy network and a shared energy storage system; constructing a double-layer optimization model based on the basic data, wherein the double-layer optimization model comprises an inner-layer optimization model and an outer-layer optimization model; according to the inner layer optimization model, the inner layer optimization problem is determined to minimize the annual operation cost under the given shared energy storage configuration; according to the outer-layer optimization model, determining that an outer-layer optimization problem is maximization of the consumption rate of photovoltaic power generation; and solving the double-layer optimization model based on the inner-layer optimization problem and the outer-layer optimization problem to obtain an energy storage configuration optimization scheme. According to the embodiment of the invention, the double-layer optimization model is constructed to optimize the operation of the micro energy grid and the shared energy storage system, the photovoltaic consumption rate can be effectively improved, the total cost can be reduced, a better energy storage configuration optimization scheme can be solved, and the energy storage optimization effect realized based on the energy storage configuration optimization scheme can be effectively improved.

The invention provides an optical storage DC flexible power distribution system and a regulation and control method thereof, and the system comprises a plurality of transformer area systems carried in a plurality of transformer area energy stations and a plurality of household subsystems carried in a plurality of household energy walls. The transformer area system comprises a static change-over switch, an isolation transformer, a bidirectional energy converter and the like. The transformer area system takes power from a power grid and supplies the power to a direct-current bus. The household subsystem comprises a photovoltaic module, an energy storage module, a charging pile, a direct-current load, an alternating-current load and an energy management system controller, and the household subsystem is connected to the direct-current bus; the plurality of transformer area systems are connected to the lower end of the static change-over switch, and the plurality of household subsystems are connected through a direct current bus. According to the optical storage direct flexible power distribution system provided by the embodiment of the invention, interaction between a power grid and a transformer area, between transformer areas, between transformer areas and users and between users can be perfectly adapted, multiple transformer areas are combined into a whole, the electric energy dispatching capability is improved, and work such as peak load shifting and response to a virtual power plant can be better realized.

The invention belongs to the technical field of coordinated operation of new energy and an energy storage system, particularly relates to a polar region field observation station two-stage distribution robust optimization method considering wind and light uncertainty, and solves the technical problem of how to realize coordinated operation of the new energy and the energy storage system through the two-stage distribution robust optimization method under an extreme climate condition. Based on thermal dynamic characteristics of a polar field observation station building and adjustability of the equipment operation environment temperature, an observation station model considering the equipment operation environment temperature is constructed, and the observation station model aims at minimizing carbon emission; secondly, considering the uncertainty of wind and light output and outdoor temperature, providing a polar region field observation station two-stage distribution robust optimization method considering the wind and light uncertainty, and flexibly adjusting and optimizing the conservative degree by setting uncertainty adjustment parameters; in addition, a hydrogen energy recovery model is added in research, and the comprehensive energy utilization rate of the observation station is further improved. Then, Camp is adopted; and the optimal solution of the original problem is obtained through CG algorithm iteration solution.

The invention discloses a coordinated operation optimization scheduling method and system based on wind-solar-storage complementary combined hydrogen production. Acquiring and processing operation data of the new energy power system to obtain wind and light output characteristics; establishing a source-load coordinated operation scheduling model of the electro-hydrogen system based on complementary characteristics of electro-hydrogen loads by combining wind and light output characteristics and an electrolytic cell adjusting range; a particle swarm optimization scheduling method is adopted for the source-load coordinated operation scheduling model of the electro-hydrogen system to find an optimal scheduling scheme; and calculating the new energy consumption rate and the equipment utilization rate of the optimal scheduling scheme, and completing the power system optimization scheduling based on the demand side response. Supply and demand balance of the electro-hydrogen system can be achieved, abandoned wind and abandoned light are reduced, the new energy consumption rate and the equipment utilization rate are improved, efficient scheduling is achieved, and the method has wide application prospects and use value.

The invention relates to a fishing-light-storage complementary system operation double-layer optimization method, which comprises the steps of collecting parameter data of photovoltaic equipment and energy storage equipment, selecting bait casting equipment, an aerator and irrigation and drainage equipment as loads, and constructing a fishing-light-storage complementary system model; constructing a fishing light storage complementary system net load upper-layer objective function considering the light abandoning rate, and carrying out optimization solving to obtain the net load and the energy storage charging and discharging power of the system in each time period; performing grid-connected risk safety judgment on the photovoltaic system, and if the grid-connected risk safety is not met, increasing the light abandoning rate to perform optimization solution again; and if yes, constructing a fishery, photovoltaic and energy storage complementary system low-carbon economic operation lower-layer objective function which considers the lowest carbon emission and comprehensive operation cost, and performing optimization solution to obtain the output power of each photovoltaic device and energy storage device. Compared with the prior art, the photovoltaic absorption rate, the system operation economy and the energy utilization efficiency can be effectively improved and the carbon emission can be reduced on the premise of meeting constraints such as system load requirements and safe operation.

The device is mainly used in the technical field of electrolytic hydrogen production. The invention discloses a control method of an electrolytic hydrogen production system, which comprises the following steps of: firstly, acquiring an alternating current power signal by the system, and updating the conversion efficiency between alternating current and direct current in an electrolysis process; and then, according to the alternating current power and the updated conversion efficiency, direct current power required during electrolytic hydrogen production is calculated. In the electrolysis process, the system detects the pile parameters to determine the pile voltage, and calculates the required target current value based on the direct current power and the pile voltage. And finally, a control mode is set according to the target current value, and a control instruction is sent to the electrolytic hydrogen production system so as to control the production amount of hydrogen. According to the technical scheme, the dynamic adjustment capability of the system can be improved, power grid alternating current power changes can be quickly responded, and the utilization rate of renewable energy sources can be improved.

The invention provides a control method, device and equipment for a dual-fuel engine injection system and a medium, the dual-fuel engine injection system is used for injecting first fuel and second fuel into an engine, and at least one injection parameter value and at least one air inlet rate value are obtained; the injection parameter value is a first injection pulse width value of the first fuel and / or a second injection pulse width value of the second fuel; based on any injection parameter value and any air inlet rate value, the combustion performance value of mixed combustion of the first fuel, the second fuel and air in the engine is obtained; adjusting the injection parameter value and / or the air intake rate value based on the combustion performance value, the injection parameter value and the air intake rate value, attempting to optimize the combustion performance value; in the attempt optimization process of the combustion performance value, based on the optimized combustion performance value, a target injection parameter value is determined; and based on the target injection parameter value, the first fuel and the second fuel are injected into the engine, and the injection amount of the first fuel and the injection amount of the second fuel are adjusted.

The invention provides an island micro-grid source-load-storage co-integration optimization method containing frequency deviation constraint, and aims at minimizing the operation cost of an island micro-grid and maximizing the consumption of new energy. A source-load-storage coordinated operation model, a source-load-storage coordinated operation model containing frequency deviation, and a source-load-storage co-integration optimization operation model containing frequency deviation stability constraint are established. According to the coordination or co-integration optimization model containing the frequency deviation, the frequency deviation allowable range serves as an available resource in optimization scheduling, compared with a coordination operation model, the feasible solution range is enlarged, higher economical efficiency is achieved, the system operation cost is reduced, and the new energy consumption rate is increased; due to the constraint of the source-load-storage co-integration relationship, the co-integration model better ensures the frequency safety during the operation of the island microgrid than the coordination model, and the optimization extreme value is improved on the premise of ensuring the normal operation.

The invention provides a photovoltaic system power control method and device based on wireless charging of an electric vehicle, and the method comprises the steps: 1, building a transfer function model between a phase shift angle of the electric vehicle and the total current of a power utilization system, and determining the G order of the transfer function model; 2, identifying a model G parameter based on an auxiliary variable method; and step 3, designing an internal model controller based on the identified model G parameter, and adjusting the internal model controller according to the bus voltage to realize photovoltaic system power control. According to the invention, the wireless charging dynamic model of the electric vehicle is identified based on the auxiliary variable method. An internal model controller with the gain changing along with bus voltage under the condition of direct current bus voltage fluctuation is designed, so that the electric vehicle wireless charging system can restrain household rigid load switching and power fluctuation of photovoltaic power generation, balance between supply and demand of a household photovoltaic system is guaranteed, and the photovoltaic consumption rate is improved. The problem of flexible power adjustment of an electric vehicle wireless charging system in a household photovoltaic system is solved.

The invention discloses a rotary blast hole drilling machine simulator and a control system and method thereof, and belongs to the technical field of vehicle control. The control method of the rotary blast hole drilling machine simulator comprises the steps that an input device inputs a control signal to the rotary blast hole drilling machine simulator; the control device sends a control signal to the display device according to the control signal input by the input device so that the display device can display the operation result of the rotary blast hole drilling machine simulator. And the display device realizes information display according to the input electric signal. The method has the beneficial effects that the operation scene and the control logic of the rotary blast hole drilling machine are restored, the simulation operation function in each environment can be reproduced, the operation feeling during drilling in a real scene is fully restored, an operator is helped to be quickly familiar with and master the operation skill in a safe and controllable environment, and the operation efficiency is improved. The operation experience in various complex environments is increased; and the relatively high consumption rate of related spare parts in the initial stage of operating the rotary blast hole drilling machine is effectively reduced.

The invention discloses an electrochemical energy storage power station operation control method suitable for spot transaction. The method comprises the following steps: collecting and processing original data; decomposing the data by using ensemble empirical mode decomposition, and training the decomposed signal by using a grey wolf-LSMT network; the prediction is corrected; establishing a power balance formula of the power grid based on the generative adversarial network; establishing a total objective function model, outputting a prediction scene of a total objective function by using a generator, generating a scene and performing scene reduction; and establishing constraint conditions. The LSMT and the grey wolf algorithm are used for real-time prediction, the objective function of the long-period income and the power grid stability index of the electrochemical energy storage power station is established through the generative adversarial network, the optimal control method of the electrochemical energy storage power station is found, the charging and discharging stability of the electrochemical energy storage power station is improved, the operation efficiency of a power plant power unit is optimized, and the power grid stability is improved. The economic benefit maximization is realized, the real-time dynamic balance between the supply and demand of the electrochemical energy storage power station and the power grid is realized, and the consumption rate of new energy is improved.

The invention relates to the technical field of energy system optimization control, and discloses an energy storage cooperation method, device and system of an energy system. The method comprises the following steps: acquiring energy state data of an energy system and corresponding system state data; performing data fusion on the energy state data and the corresponding system state data to obtain system situation data of the energy system; and performing energy scheduling on the energy system based on a preset scheduling mechanism according to the system situation data. According to the invention, the new energy consumption rate is improved, and the global collaborative optimization of the multi-energy system is realized.

The invention discloses a data center cluster online scheduling method and system, and the method comprises the steps: dividing workloads into interactive workloads and batch processing workloads through analyzing the energy consumption characteristics of the workloads in a data center, and respectively building a corresponding energy consumption model and a workload migration model; for distributed devices contained in a data center, corresponding operation models are respectively established, a data center cluster optimization scheduling model considering the electricity purchase cost, the device operation cost and the load migration cost is constructed, and for a data center cluster online optimization scheduling problem, a data center cluster optimization scheduling model considering the electricity purchase cost, the device operation cost and the load migration cost is established. The established data center cluster optimization scheduling model is expressed as a Markov decision process framework, and a reward function, a state space, an action space and a training environment of a data center cluster agent are designed. According to the method, online optimal scheduling of the data center cluster can be realized, and the method plays a crucial role in promoting energy structure transformation and accelerating renewable energy consumption.

The invention discloses a mining area integrated energy system optimization scheduling method coupling gravity energy storage and CCUS-P2G. The method comprises the following steps: constructing a mining area integrated energy system architecture containing gravity energy storage and CCUS-P2G coupling; a vertical shaft type gravity energy storage device model is established, and mutual conversion between electric energy and gravitational potential energy is achieved through vertical displacement of a weight; establishing a CCUS-P2G coupling model, and synthesizing methane from carbon dioxide captured by a CCUS device and hydrogen generated by an electrolytic bath in the two-stage P2G in a methane reactor; a mixing gas turbine model is established, methane generated according to the CCUS-P2G coupling model is mixed with gas in coal bed gas in the mining area, and gas meeting the combustion concentration requirement of a gas turbine is obtained; a system optimization scheduling model considering a stepped carbon transaction mechanism is constructed, and solving is carried out on the premise that system power balance constraints are met by taking the minimum total cost of the system as an objective function. The defects that in the prior art, the utilization rate of mining area associated energy is low, waste mine resources are wasted, and a single energy system cannot give consideration to low carbon and economical efficiency at the same time are overcome to a certain extent.

The invention belongs to the technical field of power dispatching and operation, and particularly provides a negative electricity price scene-oriented source-grid-load-storage collaborative interaction and marginal cost optimization system and method, and the method comprises the steps: monitoring the state of a power market through a data collection module, predicting the supply and demand conditions of the system, and judging that there is a negative electricity price risk; calculating real-time marginal cost of the schedulable resources, wherein the real-time marginal cost comprises power generation resource marginal cost, energy storage resource marginal cost and load regulation marginal cost; establishing an optimization model by taking the minimization of the total marginal cost of the system as a target, and solving to obtain an optimal scheduling scheme of each resource; converting the optimal scheduling scheme into a specific control instruction, issuing the specific control instruction to each resource main body of a source, a network, a load and a storage, and executing power generation adjustment, charging and discharging or load interruption operation; and monitoring the execution effect of each resource instruction and the actual clearing electricity price of the market in real time, calculating the execution deviation, and carrying out rolling correction in the next optimization period. According to the invention, early warning of the negative electricity price risk can be realized, and global optimization scheduling is carried out on the source network load storage resources.

The invention relates to a cluster division method of a building direct current interconnection power distribution system for photovoltaic consumption rate improvement. The cluster division method comprises the following steps: acquiring building group data; obtaining a spanning tree representing the interconnection condition in the cluster; calculating the interest-considered interconnection cost of the spanning tree, and generating a cluster division result, an interconnection condition and a maximum photovoltaic consumption rate when the fitness is optimal; and (3) changing the interest rates and the energy storage coefficients, returning to the step (2), generating a cluster division interconnection diagram under different interest rates and different energy storage coefficients, and analyzing the influence of the interest rates and the energy storage coefficients on the cluster division result and the maximum photovoltaic consumption rate when the fitness is optimal. According to the method, the advantage of iterative optimization of the particle swarm algorithm and the advantage of uniform cluster division of the K-means algorithm are combined, cluster division can be more uniform, the electricity purchase demand of the building for the power grid is reduced, the consumption rate of photovoltaic energy is improved to the maximum extent, and the load demand, namely the peak load, of the power utilization peak period of the building is reduced.

The invention relates to a compact railway energy regulation and control complex and a control method thereof, the compact railway energy regulation and control complex comprises a converter unit with an intermediate frequency transformer as a core, and a magnetic field hedging decoupling inductor of the intermediate frequency transformer and a filter capacitor form a secondary harmonic filter branch on the direct current side of the converter unit. And second harmonic components at the direct current side of each current conversion unit in the single-phase current conversion system are filtered out. The compact railway energy regulation and control complex uses control methods such as double-phase displacement control and passive control, can accurately control power flow distribution of two power supply arms, realizes primary side three-phase current balance control of a traction transformer, and uses a control method based on an integral linear secondary regulator LQRI to carry out comprehensive regulation and control of energy. The voltage fluctuation of the feeder line side can be effectively inhibited, and the comprehensive energy utilization rate and the new energy consumption rate of the electric railway system are improved. Due to the existence of the intermediate frequency transformer, compared with an electric energy regulation and control device taking a traditional railway power regulator as a basic topology, the compact railway energy regulation and control complex has higher integration level.

An electric power generation engine (2) of a series hybrid vehicle has a compressor (15) on an upstream side of a throttle valve (21) of an intake passage (12), and has a negative pressure generation valve (27) of a butterfly valve type on an upstream side of the compressor (15). In an EV mode in which a combustion operation of the engine (2) is stopped, energization to an electric actuator of the negative pressure generation valve (27) is stopped (time t6-t7). The negative pressure generation valve (27) is kept in a fully open state by a pressing force of a return spring. In order to suppress a collision against a fully open limiter, after a prescribed opening degree (θpre) before opening to a full opening, the negative pressure generation valve (27) is gently opened to a position of a full opening (θmax) limited by the fully open limiter (time t2-t6).