Zero balance node microgrid robustness scheduling method containing uncertainty budget adjustment

Abstract

The invention provides a zero balance node microgrid robustness scheduling method containing uncertainty budget adjustment. The method includes generating an optimal solution set through constructing a microgrid robustness optimization scheduling model by taking system safety operation as a constraint in the premise of aiming to minimizing operation cost, environment cost and renewable energy fluctuation; taking grey entropy relevance as an evaluation index of the optimization solution set and constructing a microgrid robustness scheduling method by taking the grey entropy relevance as an prioritizing index; predicating the uncertainty budget of current microgrid scheduling through a mapping rule based on the current state and the history state of an energy storage system and finally selecting an optimal solution objectively to be a power generating unit output command through the grey entropy relevance. According to the invention, resistance of the system to uncertainty factors can be enhanced effectively and good operability is achieved. Control and adjustment are integrated with each other in the uncertainty budge adjustment strategy, and control features of a micro power source is adjusted at the same time of allocating a micro power source power generation plan. Therefore, a power generation plan is made for the microgrid in an economical and environment-friendly manner and the scheduling process is good in robustness. Over charge and over discharge of the energy storage system can be avoided effectively.

Description

technical field [0001] The invention belongs to the technical field of electric power system scheduling automation, and in particular relates to a robust scheduling method for an unbalanced node micro-network including uncertainty budget adjustment. Background technique [0002] In recent years, large-scale access to renewable energy has effectively expanded the benefits of power supply, improved energy utilization, improved power supply reliability, promoted the development and reform of the power market, reduced carbon emissions, reduced line losses, and slowed down loads. Inflated growth pressure. However, the uncertain factors in microgrids have become one of the bottlenecks in the application of microgrids, and the current research on uncertain factors has become a hot and difficult point in related fields. [0003] Microgrid is a power generation and distribution system that organically integrates distributed power sources, loads, energy storage systems and their cont...

AI Technical Summary

Problems solved by technology

However, the increase of the reserve will cause the increase of the annual calculation cost of the system

The factual dispatch mainly includes operations such as quick adjustment of generator sets, load shedding, and abandonment of wind power and photovoltaics. However, rapid adjustment of generator sets will generate higher power generation costs. Load shedding may cause power outages in covered areas, and abandonment of wind power and photovoltaics will cause waste of renewable energy

For this reason, many experts and scholars have proposed scheduling models such as robust optimization scheduling model and probability constraint scheduling model, but robust optimization has the problem of conservative selection, while probability constraint requires a large amount of historical data support and confidence selection.

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