In order to achieve the secure and economical dispatch of high-proportion renewable energy distribution systems, an interval optimization dispatching method that takes into account the uncertainty of wind, PV power and load demand pre-diction errors and the flexibility of the network is proposed. To avoid the information loss in traditional methods, the conservatism of traditional interval-based methods, and the aggressiveness of interval truncation methods, the paper describes the interval boundaries of uncertainty factors based on the probability box theory and conditional value-at-risk methods. Subsequently, the time coupling constraint of the dispatching plan is established based on the real-time adjustment capability of the flexibility resources, and the line transmission flexibility cross-limit constraint is established to improve the adaptabil-ity of the proposed method. The goal of the optimization is to minimize the total operating cost, and the genetic algorithm is used for solving. The examples based on the IEEE 33-bus test system, the actual distribution network of a region and the PG&E 69 node network are analyzed, and the results demonstrate that the proposed model ensures distribution lines to meet transmission capacity constraints while achieving optimal system operating costs.
关键词
分布式发电/概率盒/条件风险价值/配网灵活性/日前调度
Key words
distributed generation/probability box/conditional value-at-risk/flexibility of distribution network/day-ahead dispatching
维普
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