37results about How to "Improve consumption level" patented technology

The invention provides a distributed energy storage output scheduling optimization method, medium and system, and belongs to the technical field of distributed energy storage output scheduling, and the method comprises the steps: firstly, collecting the electrical parameters, load parameters, renewable energy power generation parameters and energy storage equipment parameters of a transformer area, and building an energy storage grid-connected equation set which comprehensively considers the factors; and predicting a load, renewable energy output and energy storage demand curve in a period of time in the future according to historical data. Then, a multi-time-period energy storage scheduling optimization model is constructed, and objectives comprise operation cost minimization, renewable energy consumption maximization and power grid fluctuation minimization; and solving the multi-objective optimization problem by adopting an improved particle swarm optimization algorithm to obtain a plurality of candidate schemes. And finally, comprehensively evaluating the candidate schemes by using a multi-objective decision-making method, and selecting an optimal energy storage scheduling scheme. The technical problem that in the prior art, only parameters of an energy storage system are considered, and influences of power grid input electrical parameters and load parameters are ignored is solved.

The invention discloses a multi-stage unit commitment method for a power system containing high-proportion new energy, and the method comprises the steps: constructing a unit commitment model covering a day-ahead stage and a real-time scheduling stage, describing the uncertainty of a new energy output prediction error through employing a fuzzy set based on Wasserstein measurement, introducing a hybrid approximation rule, and carrying out the prediction of a new energy output prediction error. The start-stop state of the quick start-stop unit is expressed as a linear function of a new energy output prediction error in a previous stage, the model is converted into a mixed integer linear programming problem easy to solve by using a duality theory, and a final unit combination scheme is obtained in combination with a rolling optimization framework and real-time new energy output prediction information; the method is simple and easy to implement, the system cost can be effectively reduced, the new energy consumption level is improved, the reliability and flexibility of the power system are enhanced, and technical support is provided for safe and economical operation of the high-proportion new energy power system.

The invention discloses a combined heat and power system and method for coupling thermochemical energy storage. According to the technical scheme, the combined heat and power system coupled with thermochemical energy storage comprises a thermochemical energy storage device, a compressed air energy storage device, a waste heat boiler and a steam turbine power generation device. In a low ebb of electricity utilization, heat storage is performed on the thermochemical energy storage device by adopting electric energy, and gas exhausted by the thermochemical storage tank is further stored by adopting a compressed air energy storage device; in the power utilization peak or peak, the compressed air energy storage device is started to release energy, the thermochemical energy storage device is started to release heat to the outside, high-temperature gas exhausted through heat release reaction is supplied to the waste heat boiler, steam generated by the waste heat boiler drives the steam turbine power generation device to generate power, and exhausted steam is used for supplying heat to the outside to achieve cogeneration. Thermochemical energy storage, compressed air energy storage, the waste heat boiler and steam turbine power generation are coupled for application, and the energy utilization efficiency of the thermochemical energy storage system is effectively improved.

The invention relates to a VSC-MTDC-containing AC / DC system safety control method and system under electric heating coordination, electronic equipment and a medium, and belongs to the field of power system engineering, and the method comprises the steps: constructing a VSC converter station steady-state power model, and giving a control mode of a VSC converter station and a control mode of a DC power grid; constructing an overhead conductor heat balance equation under electric heating coordination; taking an alternating current node voltage amplitude and a phase angle, a direct current node voltage and an alternating current and direct current overhead conductor temperature as state variables, and constructing an alternating current and direct current power grid electrothermal coupling power flow model containing the VSC-MTDC according to node power balance; and constructing a VSC-MTDC-containing AC-DC system correction control model under electric heating coordination and an AC-DC system prevention control model considering correction, and solving. According to the method, the maximum allowable current constraint of the overhead conductor is relaxed, the real loading capacity of the overhead conductor is fully exerted, and the safety and the economical efficiency of the VSC-MTDC-containing alternating current and direct current system control are better met.

According to the industrial park anti-countercurrent control method and system fused with the source storage adjustable margin, when a countercurrent risk exists, based on a flexible control target, layered adjustment values of distributed power supply output under an early warning level and an action level are determined; determining a hierarchical adjustment value of the energy storage power under the security level; under the safety level, if the countercurrent urgency index is not larger than 0, energy storage stops discharging, and if the countercurrent urgency index is within the energy storage power adjustable margin range, energy storage charging is controlled based on a layered adjustment value of the energy storage power adjustable margin range; under the early warning level, if the countercurrent urgency index is within the adjustable margin range of the output of the distributed power supply, the energy storage charging power is controlled to be maximum, and the output of the distributed power supply is controlled based on the hierarchical adjustment value of the output of the distributed power supply; under the action level, if the countercurrent urgency index is not within the adjustable margin range of the distributed power supply output and the energy storage power, executing the generator tripping operation of the distributed power supply; and the utilization efficiency and the economic benefit of distributed energy sources are maximized while the power of the park is ensured not to flow back.

The invention discloses a wind and light storage cooperative control system based on source load matching. The system aligns a source load storage network and communication information and carries out credible evaluation; wind, light and load are predicted, and uncertainty levels are given; calculating a matching degree and a short plate hot spot, and combining network side hard constraints such as voltage, power flow and reverse transmission to obtain an acceptable boundary; when the matching is qualified and the complementary energy is still available, identifying the complementary energy / energy shortage and the reason, quickly checking the transferable margin and loss by the edge, generating a routing plan containing retention time and action budget, and scheduling the stored energy and the flexible load in a rolling manner; meanwhile, the risk budget and standby are written back according to feasibility, prediction uncertainty and communication quality, gray release and automatic rollback are achieved in cooperation with degradation and playback scoring, and consumption and traceability are improved.

The invention belongs to the technical field of new energy monitoring, and discloses a new energy monitoring method and system based on a medium and low voltage power distribution network, and the method comprises the following steps: building an integrated model database based on the business architecture of a power distribution master station, collecting medium and low voltage integrated monitoring data, and storing the data in a database; importing the medium and low voltage integrated monitoring data into an integrated model database in an integrated importing mode; based on the medium and low voltage integrated monitoring data in the integrated model database, combining an artificial intelligence algorithm and a deep neural network prediction algorithm model, predicting the power generation condition of the distributed power supply, and analyzing the operation state of the power distribution network according to the prediction result; and on the basis of the operation state of the power distribution network, real-time scheduling control and display are carried out on source-network-load-storage multi-type resources through a power distribution master station service architecture. The electric power and electric quantity balance and the new energy consumption level of the electric power system are improved.

The invention belongs to the field of electric power system dispatching operation and control, and discloses an electric power system unit combination optimization dispatching method, device and equipment and a medium. The method comprises the following steps: acquiring a unit set G in a power system and characteristic parameters of each unit g in the unit set G; based on the characteristic parameters of each unit g, solving a pre-established power system unit combination model considering the multi-working-condition wide-power adjustment characteristics of the coal power unit, and obtaining a power system unit combination optimization scheduling result; and outputting the unit commitment optimization scheduling result of the power system. According to the invention, the supporting capability of the unit combination result on the multi-dimensional adjustment of the power system is enhanced; the method adapts to development and application of a novel power system.

The application provides a mobile energy storage planning and configuration method for an active power distribution network, comprising: establishing a charging and discharging model and a displacement model of the mobile energy storage; taking the maximum annual income of the mobile energy storage as an objective function, taking the maximum annual income of the mobile energy storage as an objective function, taking the distributed power output constraint, the mobile energy storage access power constraint, the power distribution network power flow constraint, the safety constraint, and the established charging and discharging model and displacement model of the mobile energy storage as constraint conditions, and establishing a mobile energy storage planning model for the active power distribution network; converting the mobile energy storage planning model for the active power distribution network into a mixed integer second-order cone model; and solving the mixed integer second-order cone model to obtain an optimal configuration scheme of the mobile energy storage. The application can improve the power fluctuation and the abandoned wind and light problems after the distributed power is connected to the power distribution network, and can maximize the investment income of the mobile energy storage under the premise of ensuring the safe operation of the power distribution network, thereby improving the economy of the power distribution network operation.

The present invention discloses a medium- and long-term optimization scheduling method and system based on a short-term hydro-photovoltaic complementary strategy. The method includes: formulating a short-term hydro-photovoltaic complementary strategy based on historical operation data of a hydro-photovoltaic complementary power generation system, and extracting complementary power information in the short-term hydro-photovoltaic complementary process; further constructing a medium- and long-term hydro-photovoltaic complementary scheduling model; using an improved intelligent algorithm to solve the medium- and long-term hydro-photovoltaic complementary scheduling model, and the process introduces a boundary search optimization mechanism to globally optimize the medium- and long-term complementary scheduling boundary to obtain a medium- and long-term optimization scheduling method for a hydro-photovoltaic complementary power generation system. The present invention can further coordinate the spatiotemporal characteristics of hydropower, improve the storage and complementary efficiency of cascade reservoirs, effectively avoid the risk of power abandonment in the hydro-photovoltaic complementary process, and improve the power consumption efficiency of the medium- and long-term hydro-photovoltaic complementary power generation system. At the same time, it can smooth the random fluctuation amplitude of the photovoltaic short-term output process and improve the quality of power grid connection.

The invention discloses an operation state regulation and optimization method for a power distribution network containing a distributed power supply and a flexible load, and the method comprises the following steps: obtaining a topological structure and operation parameters of the power distribution network, and constructing a power distribution network operation state regulation model according to the topological structure and the operation parameters; on the basis of a power distribution network operation state regulation and control model, a traditional knowledge acquisition sharing algorithm is improved, and a spiral updating strategy is introduced to guide a search individual to approach a current candidate optimal solution along a spiral trajectory; and performing iterative solution on the operation state regulation and control model by using an improved knowledge acquisition sharing algorithm to obtain operation optimization configuration of the power distribution network. According to the method, the global search capability and the local convergence precision of the algorithm are remarkably improved, so that the operation optimization configuration can be quickly and accurately obtained, and the stability, the adaptability and the overall operation performance of the power distribution network when the power distribution network deals with renewable energy output fluctuation and load change are enhanced.

The invention discloses an annual hydropower and electric quantity distribution method and system considering monthly coordination, and relates to the field of medium and long term power and electric quantity balance analysis, and the method comprises the steps: obtaining wind power historical output curve information, considering the probability distribution characteristics of wind power output, solving upper and lower limit output values in a confidence interval, establishing an annual hydropower and electric quantity distribution model considering monthly coordination, and outputting a monthly decomposition result of hydropower and electric quantity; and carrying out statistics on the output condition at each moment, and calculating the renewable energy consumption condition. According to the method, the monthly coordination constraint of the reservoir is considered, and the monthly coordination effect of water resources all the year round is achieved; the mode that monthly loads in an existing annual electric power and electric quantity balance model are represented by single typical daily loads is adopted, and large-scale redundancy calculation in the whole time period is avoided while it is guaranteed that the result has a good application effect. And the result of the wind power output probabilistic model is fused into the hydroelectric power decomposition model, so that the adaptability of the hydroelectric power decomposition scheme to the new energy power system is improved.

The invention relates to a coordinated optimization method, system and device for auxiliary services of a power grid and a medium. The method comprises the following steps: acquiring power grid auxiliary service demand parameters, distributed photovoltaic parameters and adjustable parameters; constructing a combined body model, and determining an auxiliary service curve and a prediction curve of each distributed photovoltaic parameter and adjustable parameter; determining an auxiliary peak regulation electric energy plan in a day-ahead stage and a combined body model participating in an auxiliary peak regulation service, and obtaining a first output curve of the combined body model participating in the auxiliary peak regulation service; determining an auxiliary frequency modulation electric energy plan of an intra-day stage and a complex model participating in an auxiliary frequency modulation service, and obtaining a second output curve of the complex model participating in the auxiliary frequency modulation service; and generating a control instruction according to the first output curve and the second output curve, and performing coordinated optimization control on the distributed photovoltaic and adjustable resources. Compared with the prior art, the method can improve the consumption level and the regulation and control capability of distributed photovoltaic and adjustable resources, and ensures the stable operation of a power grid.

This application provides a method, apparatus, and electronic equipment for optimizing the distributed energy storage configuration in a new energy base. The method includes: determining a set of candidate distributed energy storage ratios for the new energy base to be configured with an energy storage system; acquiring operational data of the new energy base within a preset time period; constructing an energy storage configuration optimization model; for each candidate distributed energy storage ratio, solving the problem based on the operational data and the energy storage configuration optimization model to determine the total high-voltage side power supply and total operation and maintenance cost corresponding to that ratio; determining a target distributed energy storage ratio from the set of candidate distributed energy storage ratios based on the total high-voltage side power supply and total operation and maintenance cost corresponding to each candidate distributed energy storage ratio; and configuring energy storage in the new energy base based on the target distributed energy storage ratio. This application achieves a reasonable distributed energy storage configuration without changing the total planned energy storage capacity of the base, reducing dependence on high-voltage side power supply.

The application discloses a substation openable capacity access evaluation method considering flexible resources, and belongs to the field of substation openable capacity evaluation. First, a substation openable capacity calculation model is established, then a substation optimization scheduling model considering flexible resources is established by considering energy storage systems and orderly charging of electric vehicles, the maximum value of the equivalent load of the substation is obtained, and finally, the substation openable capacity calculation model is solved. On the basis of the existing openable capacity research, the energy storage system is considered to participate in peak load shifting and valley filling, and the electric vehicles are considered to be orderly charged. The minimum peak-valley difference of the substation load and the lowest charging cost of the electric vehicle users are taken as the objective functions, the substation optimization scheduling model considering flexible resources is established, the effects of suppressing new energy power fluctuation, improving new energy consumption level and relieving peak shaving pressure are achieved, the power supply potential of the substation is fully tapped, the user side load peak is reduced, and thus the openable capacity of the substation is improved.

The invention discloses a water-light-storage multi-scene optimization control method and system, and relates to the technical field of clean energy power generation, and the method comprises the specific steps: carrying out the scene generation and scene reduction based on photovoltaic historical operation data and meteorological data, and obtaining a photovoltaic output value; in the power smoothing scene, inputting the photovoltaic output value into a pre-constructed water-light-storage power smoothing model which meets the hydraulic constraint and the unit characteristics of the water-light-storage system and takes maximization of the income of the water-light-storage system as a target; solving a water-light storage power smoothing model; and under the auxiliary service scene, inputting the output condition of each unit, the capacity utilization condition of the electrochemical energy storage device and the daily demand of the power grid into a pre-established energy storage capacity distribution model to obtain an optimal capacity distribution scheme. Intermittent and fluctuating solar energy can be effectively converted into stable and reliable electric energy to be output, the capacity utilization rate of an energy storage unit is increased, the light abandoning phenomenon is greatly reduced, and the economic benefit of the system is improved.

The application provides a wind-solar-thermal-storage-hydrogen system double-layer optimization scheduling method for deep regulation risk, constructs a system net load sequence and a dynamic risk potential field based on power system source network load storage data, establishes an upper layer optimization model, takes risk mitigation and regulation resource optimization allocation as targets, solves power distribution boundaries of each period, constructs a lower layer optimization scheduling model with the minimum system comprehensive operation cost as the target, solves the power distribution boundaries as constraints to obtain a scheduling scheme, performs risk identification and constraint checking on the scheme, if there is risk or the constraint is not satisfied, updates the risk potential field and the upper layer model according to the risk information and iterates, if there is no risk, the constraint is satisfied and the convergence condition is reached, the final scheme is output. The method can perceive deep regulation risk evolution, adaptively adjust resource priority, and utilize lower layer risk information closed loop correction, and can consider new energy consumption, thermal power deep regulation inhibition, energy storage life, P2G consumption and power grid safety.

The invention relates to the technical field of transformer scheduling, in particular to an oil-immersed transformer scheduling and response system and method for power grid stability, and the method comprises the following steps: synchronously collecting the real-time operation state data and environmental meteorological data of a transformer; dynamically correcting a heat dissipation coefficient of a transformer thermal model based on the real-time air pressure; a winding hot-spot temperature dynamic change track is generated through the transformer thermal model; based on the dynamic change track, the multi-dimensional dynamic hot redundancy is calculated in parallel; taking the multi-dimensional dynamic hot redundancy as a core constraint, performing rolling optimization scheduling through model prediction control, and generating a coordination control instruction of the transformer and the new energy station by taking maximization of the total consumption amount of the new energy and minimization of the load fluctuation of the transformer in a scheduling period as optimization objectives; and executing the coordination control instruction to dynamically adjust the operation state of the power grid. According to the invention, collaborative improvement of transformer dynamic load safety and new energy efficient consumption can be realized.

The invention relates to the field of power batteries, and discloses a method for promoting wind power consumption and carbon emission reduction by a power battery based on NSGA-II, and the method comprises the following steps: S1, collecting electricity-carbon information of the power battery, including thermal power information, wind power information, power battery information, load prediction information and power grid carbon emission intensity information; s2, constructing a target function of a model for promoting wind power consumption and carbon emission reduction by the power battery, and taking the minimum comprehensive carbon emission cost and the minimum wind curtailment cost as a target; s3, constructing operation constraint conditions of the model for promoting wind power consumption and carbon emission reduction by the power battery, wherein the operation constraint conditions comprise a power balance constraint condition, a thermal power generating unit power constraint condition, a wind power constraint condition and a power battery operation constraint condition; and S4, solving a model for promoting wind power consumption and carbon emission reduction by the power battery based on NSGA-II. The method has the advantages that the wind curtailment cost can be minimized while the load side carbon emission is reduced, and the method is of great significance in supporting power grid carbon emission reduction and improving the absorption level of new energy.

The invention relates to a rural hydrogen micro-grid planning method with optimal leveling cost per kilowatt-hour. The method comprises the following steps: step 1, establishing a rural micro-grid model considering an electricity-hydrogen deep coupling advantage; 2, establishing a rural micro-grid operation method considering hydrogen product transaction, and considering a load curve of a hydrogen fuel automobile in a rural hydrogen load application scene; 3, establishing a grid-connected rural hydrogen micro-grid collaborative planning method with the aim of leveling the optimal kilowatt-hour cost; the system has the advantages that distributed hydrogen production is achieved, the absorption rate is effectively increased, stable hydrogen load supply is formed, and the operation economical efficiency is improved.

The application discloses a kind of energy storage power duration curve estimation methods, specifically according to the following steps implementation: according to the planning level year load, wind power, photovoltaic output time series, conventional unit maximum, minimum adjustable, calculate new energy blocked output;Through day minimum energy storage capacity, calculate energy storage capacity minimum point, through minimum energy storage power and energy storage charge-discharge constraint condition, calculate energy storage capacity maximum point;Through energy storage capacity maximum point and minimum point, obtain energy storage power duration curve;According to the planning level year new energy utilization rate calculation error requirement, obtain equivalent energy storage capacity maximum value, obtain energy storage power duration approximate curve.The method disclosed by the application, by the calculation of equivalent energy storage capacity maximum point and energy storage capacity minimum point, can effectively explain the equivalent efficacy of various energy storage technologies in meeting new energy utilization rate index, and provides a theoretical analysis tool for the rational planning of various energy storage technologies.

The invention provides a shank massaging mechanism of a foot bath device. The foot bath device is characterized in that the shank massaging mechanism is mounted at a rear mounting position in a barrel of the foot bath device; a long-strip-shaped massage transverse gear shaft is transversely and movably installed in a gear box installed on the front side of the rear bottom plate in the shank pressing and pinching mechanism, a left pressing and pinching assembly and a right pressing and pinching assembly are fixedly installed on the left side and the right side of the gear box and the left installation end and the right installation end of the massage transverse gear shaft, and eccentric sleeve assemblies are arranged in the pressing and pinching assemblies. Compared with the prior art, the shank pressing and pinching mechanism has the advantages that the eccentric sleeve assemblies of the left pressing and pinching assembly and the right pressing and pinching assembly are driven by the massage gear shaft to rotate; the four massage head assemblies of the left and right groups of pressing and kneading assemblies are eccentrically driven to perform eccentric inward clamping and kneading, and are opened and relaxed to perform massage actions on the shanks, so that the massage experience and the rehabilitation curative effect are better.

The invention discloses a scheduling method for energy selection, belongs to the field of energy scheduling, and aims to solve the problem that new energy power generation is blocked and a system fluctuates due to insufficient peak regulation capacity of a power grid caused by large increase of new energy and other energy. The method comprises the following steps: step 1, establishing a new energy scheduling model and a multi-energy scheduling model, and constructing a plurality of constraint conditions to constrain the multi-energy scheduling model; and 2, power between the power grid and the load is collected in real time, if the power is smaller than preset power, the new energy scheduling model is adopted to supply power to the power grid, and if the power is not smaller than the preset power, the multi-energy scheduling model is adopted to supply power to the power grid. The method is used for energy scheduling.

The invention belongs to the field of firework and firecracker materials, and particularly relates to a firework and firecracker building gypsum mold pressing lump and a preparation method thereof. The building gypsum prepared from ardealite is used as a main raw material instead of stone powder to produce and prepare the environment-friendly, degradable and high-temperature-resistant combined firework and firecracker molded lump, so that the influence of stone powder exploitation on the environment is avoided, an environment-friendly, economical and safe firework base solution is provided for firework and firecracker production enterprises, and the environment-friendly, degradable and high-temperature-resistant combined firework and firecracker molded lump has a wide application prospect. And green and high-quality development of firework enterprises is promoted. And meanwhile, technical support can be provided for resource utilization of the phosphogypsum, improvement of the consumption level of the phosphogypsum and continuous expansion of the application scene of the phosphogypsum.

The present invention belongs to the field of photovoltaic technology, and discloses a photovoltaic-storage integrated grid-connected device, including: a grid-connected converter, a photovoltaic control module, an energy storage control module and a controller, wherein the controller controls the coordinated operation of the grid-connected converter, the photovoltaic control module and the energy storage control module; when the voltage at the grid-connected point falls into the autonomous voltage control interval, the grid-connected converter operates in the autonomous voltage control mode, and adjusts the output power downward; the photovoltaic control module operates in the MPPT mode to achieve the maximum power tracking of the photovoltaic module; the energy storage control module is used to control the stability of the DC voltage bus, and the energy storage control module controls the energy storage battery to absorb the extra output of the photovoltaic module. The embodiment of the present invention significantly improves the absorption level of distributed photovoltaic on the user side by promoting the coordinated development of photovoltaic-energy storage on the user side, avoids the abandonment of light, enhances the power controllable capacity of the interconnection line in the high-proportion distributed photovoltaic area, and ensures the safe, reliable and clean operation of the power grid with a high proportion of renewable energy.

The invention relates to the technical field of control, in particular to a coal power unit thermoelectric decoupling real-time optimization scheduling method and system based on model prediction control and a computer readable storage medium. The system comprises a data acquisition and processing layer used for acquiring key equipment data in real time through a data acquisition module and transmitting the key equipment data to a data preprocessing module for processing through a distributed control system, and a model prediction control core layer used for predicting the key equipment data through a constructed multivariable prediction model. Predicting equipment data of the cogeneration unit by taking the net power generation power, the heat supply load and the main steam pressure of the unit as controlled variables, generating an operation instruction based on a predicted equipment value, and performing prediction optimization on the unit instruction in a set period to obtain an optimal operation instruction; and the instruction execution and monitoring layer is used for sending the unit instruction to a corresponding control loop and monitoring key safety parameters of the unit in real time.

The invention belongs to the technical field of power grid dispatching, and particularly relates to a hydrogen energy generation-storage-transportation system coordinated optimization method, which comprises the following steps of: 1, establishing a hydrogen energy generation-storage-transportation coordinated optimization model; 2, establishing a hydrogen energy transportation path optimization model; 3, establishing a hydrogen energy system optimization model; 4, designing a two-stage robust model considering the wind and light uncertainty; 5, example analysis is conducted, the structure is reasonable, in the using process, the system operation cost is reduced by 13.98%, the carbon emission is reduced by 20.95%, the total operation cost of the mobile hydrogen energy system can be effectively reduced through the collaborative optimization method, and the flexibility of scheduling decision making is improved.

The present invention belongs to the technical field of coordinated optimization of integrated energy systems, and provides an integrated energy optimization scheduling method and system based on the dynamic characteristics of electrical and thermal networks, comprising the following steps: taking the minimum total operating cost of IES within the day-ahead scheduling period as the objective function, according to the constraints of the power system, the thermal network system, the gas network system and the operation flexibility, analyzing the relationship between the characteristics of the power grid and the dynamic characteristics of the gas and thermal networks, and jointly constructing an integrated energy optimization scheduling model taking into account the sub-hourly operation flexibility; taking the output power of the coupled units as the coupling variable, based on the integrated energy optimization scheduling model taking into account the sub-hourly operation flexibility, adopting a centralized solution method to perform optimization processing, and obtaining the optimal unit combination operation scheduling plan.

This invention discloses a control method for coordinated reuse of voltage and frequency regulation in distribution networks under high-proportion renewable energy conditions. It relates to the fields of distribution network operation optimization and power quality control, and includes steps S1 (preprocessing and resource modeling), S2 (layered architecture construction), S3 (local adaptive coupling control), S4 (regional coordinated optimization control), and S5 (global rolling correction control). This control method breaks down the resource barriers of traditional discrete control by integrating and coordinating the reuse of voltage and frequency regulation resources in the distribution network. It maximizes the utilization of redundant capacity in power electronic equipment, significantly improves equipment utilization, reduces redundant equipment configuration in the power grid, and lowers investment and maintenance costs. By setting multi-condition adaptive control logic and clear resource priority rules, it completely solves the frequency and voltage regulation conflict problem under high-proportion renewable energy scenarios, simultaneously improving the voltage and frequency stability of the distribution network and significantly improving power quality.

The invention provides a new energy ultrahigh-proportion power grid energy storage system optimal configuration scheduling method and system, and is applied to the technical field of energy storage system configuration. The method comprises the following steps: constructing a cost model of the energy storage system associated with capacity optimization of the energy storage system by considering the investment cost and the life cycle of the energy storage system; taking the maximization of the comprehensive benefit of a power grid as the target of an outer-layer configuration model, taking the minimization of the operation cost of a thermal power generating unit as the target of an inner-layer operation model, and constructing a double-layer optimization configuration model of the energy storage system based on the cost model of the energy storage system; and solving the double-layer optimization configuration model based on the obtained power generation power predicted value and the load power predicted value of each new energy station in the power grid in the future period to obtain an optimization result. According to the method, the problems that the peak regulation capability of the energy storage system in the power grid system with the ultrahigh new energy proportion is relatively weak, the wind and light abandoning rate is still relatively high, and the cost of the energy storage system participating in power grid dispatching is relatively high are solved.