A Demand Response Scheduling Method for Wind Power Uncertainty

Abstract

The invention relates to a requirement responding scheduling method for wind power uncertainty. The method comprises a scheduling trading center predicts a benchmark load curve and a wind power generation curve and releases scheduling information to load agents; the load agents perform learning and decision making according to scheduling requirement information, system operation information and historical trading information and formulate bidding strategies and reports to strategies to the scheduling trading center; the scheduling trading center performs optimal scheduling on generation and consumption power resources with the lowest scheduling cost as the target after obtaining load agent bidding information and generator set calling cost information and sends scheduling instructions and final compensation price to the load agent and the generator set; the load agents adjust consumption power by means of electricity price adjusting and stimulation with the lowest scheduling cost as the target after obtaining final scheduling instructions. According to the method, an effective way is provided for wide-area distributed medium and small volume load resources to participate in system scheduling, the wind power volume load admitting capacity is improved, and the scheduling cost is reduced.

Description

Technical field [0001] The invention relates to a dispatching method in the field of AC and DC power system operation and control, in particular to a demand response dispatching method for dealing with wind power uncertainty. Background technique [0002] Driven by factors such as energy resource shortage, climate change and environmental pollution, mankind has realized the importance and urgency of vigorously developing renewable energy. However, due to the "unfriendly" characteristics of wind power and other renewable energy sources such as volatility, intermittentness, anti-peak regulation, and low dispatchability, it poses a challenge to the traditional "generation tracking load" grid regulation method. To cope with this challenge, coordination and interaction among power sources, power grids and loads should not only help improve the energy and power dynamic balance capabilities of the power system, but also help realize the optimization of large grid resource allocation and...

AI Technical Summary

Problems solved by technology

[0003] The load interacts with the power grid by participating in demand response projects. There have been a lot of research and preliminary practice at home and abroad. However, the load capacity in the power system is huge, the distribution is wide, and the individual capacity is small, and the demand response methods adapted to each are different. These characteristics make it difficult to directly control the massive demand response resources, and it is difficult to fully exploit the load scheduling potential of the system.

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