Load curve optimization method based on load aggregator non-cooperative game

Abstract

The invention belongs to the field of power system dispatching and power markets, and particularly relates to a load curve optimization method based on a load aggregator non-cooperative game. According to the invention, the method includes taking a scheduling mechanism and a load aggregator as main bodies in an optimization problem, and building an interaction mechanism; establishing a non-cooperative game model for the bidding competition load reduction problem of the load aggregator; using a collaborative immune quantum particle swarm optimization algorithm to carry out strategy solving on the problem, and using the obtained optimization strategy for guiding a load aggregator to select an optimal scheme in the actual strategy reporting process so as to realize optimization of a load curve. According to the method, the load curve can be effectively optimized through the non-cooperative game among the load aggregators, so that the benefit of the load aggregators is guaranteed, the guiding effect of a scheduling mechanism on the load aggregators is reflected, the load in the peak period is reduced, the pressure on the power generation side is relieved, and the operation efficiency of a power grid is further improved.

Description

technical field [0001] The invention belongs to the field of power system dispatching and power market, and more specifically, relates to a load curve optimization method based on a non-cooperative game of load aggregators. Background technique [0002] In recent years, the energy crisis has become increasingly prominent, and the environmental degradation has become increasingly serious. The new energy generation curve is affected by natural conditions and is an uncontrollable factor. However, its reverse distribution with the load curve has brought great difficulties to dispatching. How to let the load side participate Scheduling, and by optimizing and adjusting the load curve to alleviate the pressure on the power generation side, more and more attention has been paid by dispatchers. On the load side, although the base of residential users is large, their power consumption also has great scheduling potential, but the flexibility level of a single user is low, which cannot ...

AI Technical Summary

Problems solved by technology

However, when there are multiple load aggregators, the dispatching agency needs to evaluate each reported load, and adopt or adjust which load aggregator's strategy and quotation, which brings great difficulties to the dispatching agency's decision-making

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