5results about How to "Reduce curtailment" patented technology

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 relates to the technical field of power system safety, and provides a power distribution system safety operation optimization method and system based on low inertia. The invention discloses a power distribution system safe operation optimization method based on low inertia. The method comprises the following steps: constructing an evaluation model based on a minimum inertia demand by taking minimization of the total operation cost of a system as an optimization target; under a set constraint condition, solving the evaluation model based on the minimum inertia demand by using a grey wolf algorithm to obtain a minimum inertia demand value at each moment; in the process of searching the minimum inertia demand value at each moment, the grey wolf algorithm adopts a convergence factor to determine a search area; the convergence factor is represented as the fractional order power of the ratio of the difference value of the maximum number of iterations and the current number of iterations to the maximum number of iterations. Response reliability of the system to sudden disturbance can be improved.

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 invention discloses an off-grid wind-light-hydrogen-ammonia integrated system and a scheduling method, and relates to the technical field of renewable energy sources. The method comprises the following steps: after each rolling scheduling period is finished, calculating a relative error between actual wind and light generating capacity and predicted generating capacity; and if the preset threshold value is exceeded, triggering a deviation correction process, otherwise, continuing to use the original plan. During correction, energy deviation is calculated in combination with a scheduling plan and actual output, and bidirectional hierarchical regulation is implemented according to the direction of the energy deviation: hydrogen is preferentially stored when energy is surplus, and then energy is charged and stored; when energy is short, discharging is preferentially carried out, and then hydrogen is released. And dynamically updating the actual states of hydrogen storage and energy storage according to the initial conditions, and taking the actual states as initial conditions of the next period. According to the method, electricity abandoning and energy gaps are effectively reduced through a threshold triggering and grading response mechanism, and the system robustness and the green electricity utilization efficiency are remarkably improved while continuous and stable operation of the ammonia synthesis device is guaranteed.

This invention discloses a forward-looking section over-limit control method and system for transmission-distribution networks incorporating renewable energy. The control method comprises the following steps: obtaining the predicted renewable energy output data using existing data-driven distributed photovoltaic cluster output prediction methods; assuming full renewable energy generation, constructing a scenario where renewable energy is fully connected to the grid; using the Matpower tool to perform power flow calculations to determine the predicted section over-limit situation; establishing a forward-looking section over-limit control model and determining the objective function and constraints, the objective function being to minimize the sum of curtailment cost and over-limit penalty cost; using a CPLEX solver to solve the objective function in a rolling manner over time periods, deriving the optimized photovoltaic curtailment plan and energy storage charging and discharging strategy; and issuing power adjustment commands. This invention, by establishing a multi-time period optimization model, coordinates photovoltaic curtailment and energy storage charging and discharging, significantly reducing the risk of section over-limit, improving grid security, and increasing renewable energy utilization.