Planning of distributed power sources in coastal power distribution networks considering the impact of uncertainty

With the improvement of the electrification level of transportation energy consumption, the coverage rate of port shore power gradually increases. Based on considering the uncertainty of distributed power generation output, this paper proposes a distributed power generation planning method for shore power distribution networks that takes into account the impact of uncertainty. Firstly, from the perspective of shore power distribution grid operators, an objective function is established that includes investment costs and operating costs. Secondly, a distributed robust optimization method is used to handle the uncertainty of distributed power output, and the confidence set of uncertainty probability distribution is constrained by both 1-norm and ∞ norm simultaneously. Finally, a column and constraint generation algorithm is used to solve the model. Through corresponding examples, the influence of model parameters such as confidence and historical data on the planning results of distributed power generation in coastal power distribution networks was analyzed. The superiority of this model was verified by comparison with deterministic and robust models.