Distributed power supply cluster day-ahead scheduling method and system considering multiple uncertainties

Abstract

The invention discloses a distributed power supply cluster day-ahead scheduling method and system considering multiple uncertainties, and belongs to the field of distributed power supply cluster optimal scheduling. On the basis of detailed analysis of multiple uncertainty source characteristics, a random optimization method and a self-adaptive robust optimization method are respectively adopted tomodel electricity market transaction price uncertainty, wind power output uncertainty and demand response quantity uncertainty; and linear expression is performed on the model based on an engineeringgame thought, a two-stage three-layer day-ahead scheduling optimization model is established, and an optimal solution is solved by adopting a particle swarm algorithm constrained by a penalty function. Through accurate representation of multiple uncertainty sources, a distributed power supply cluster scheduling optimization model considering multiple uncertainty factors is established, which is helpful for reasonably arranging the standby capacity of the distributed power supply cluster and making a power market quotation strategy, and further improves the flexibility and safety of the operation of the distributed power supply cluster.

Description

technical field [0001] The invention belongs to the field of optimal dispatching of distributed power clusters, and more specifically relates to a method and system for day-ahead scheduling of distributed power clusters considering multiple uncertainties. Background technique [0002] With the depletion of fossil energy and the intensification of environmental pollution, vigorously developing renewable energy has become a strategic choice for various countries to achieve a low-carbon economy and build a sustainable energy system. However, the inherent volatility, randomness, and intermittency of renewable energy have greatly hindered its popularization and application. In order to solve this problem, scholars have proposed the concept of distributed power clusters. The distributed power cluster is mainly composed of conventional units, renewable energy units, energy storage devices and flexible loads. As a resource integration method with high flexibility and adaptability,...

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Problems solved by technology

However, this patent does not take into account the uncertainty of demand response in actual dispatching, and cannot effectively deal with multiple uncertainties such as electricity price uncertainty, renewable energy output uncertainty, and demand response uncertainty that exist in the actual dispatching process. deterministic problem

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