Intra-day rolling optimization method based on power distribution network hydrogen energy storage system

Abstract

The invention provides an intra-day rolling optimization method based on a power distribution network hydrogen energy storage system. The method comprises the following steps: 1, establishing a power distribution network system containing hydrogen energy storage; 2, processing hydrogen energy storage charging and discharging power and charge state constraints into opportunity constraints; 3, determining an objective function of hydrogen energy storage and constraint conditions of hydrogen energy storage chance constraints; 4, performing real-time self-adaptive updating on hydrogen energy storage opportunity constraints in an intra-day rolling optimization stage. The invention has the beneficial effects that the voltage level of the hydrogen energy storage system of the power distribution network can be effectively improved, the network loss of the system is reduced, and the stability and robustness of the system are improved.

Description

technical field [0001] The invention relates to an intraday rolling optimization method for a hydrogen energy storage system based on a distribution network, and belongs to the field of power system planning and dispatching. Background technique [0002] The diversified growth of high-permeability renewable energy (Renewable Energy Resource, RES) access and load demand brings strong volatility and uncertainty, and poses greater challenges to the safe, economical and flexible operation of the distribution network. Challenges. In addition, considering that different control devices have different action characteristics and have different capabilities to deal with RES and load uncertainties, it is necessary to give full play to the control potential of each device to meet the flexibility requirements of system operation. [0003] At present, the operation optimization of the distribution network mainly focuses on the voltage improvement effect and operation economy. The multi-t...

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Problems solved by technology

[0003] At present, the operation optimization of the distribution network mainly focuses on the voltage improvement effect and operation economy. The multi-time scale control strategy of the distribution network based on hydrogen energy storage can effectively reduce the system network loss, improve the voltage level, and realize clean energy. Friendly consumption; but the determined optimal dispatch model limits the optimization effect of loss reduction and voltage regulation of the distribution network, and then proposes a two-stage joint optimization method based on uncertain planning hydrogen energy storage to improve system operation safety and economy; However, the increase of RES and load scale brings strong uncertainties and fluctuations, which puts forward higher requirements for the flexibility of system operation, and requires in-depth research on system flexibility improvement strategies; in addition, most of the existing research is on optimization During the dispatching period, relatively conservative constraints on charging and discharging power and state of charge are formulated, and hydrogen energy storage devices must strictly meet the above constraints; however, deterministic hydrogen energy storage constraints cannot fully exert their regulation potential, and it is difficult to effectively adapt to strong and variable source loads. determinism, resulting in unsatisfactory flexibility of system operation; in comparison, treating hydrogen energy storage charge and discharge power and state of charge constraints as chance constraints, allowing them to slightly violate the upper and lower limits at a certain probability level, can greatly Improve the utilization efficiency of hydrogen energy storage devices, better balance the safety and economy of distribution network operation, and further improve the flexibility of system operation

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