Active power distribution network multi-objective optimization operation method considering 5G base station access

Abstract

The invention discloses an active power distribution network multi-objective optimization operation method considering 5G base station access. The method comprises the steps of: with minimizing system operation cost and carbon emission taken as an objective function, constructing an ADN multi-objective optimization model according to a 5G base station operation constraint condition, a renewable energy source (RES) power generation output constraint condition, a power distribution network flow constraint condition and a system operation safety constraint condition; processing the objective function and each constraint condition by adopting an interval analysis method, and converting the ADN multi-objective optimization model into a deterministic multi-objective optimization model; and solving the deterministic multi-objective optimization model by adopting a non-dominated sorting genetic algorithm to obtain an ADN multi-objective optimization operation scheme considering 5G base station access. According to the method, RES and 5G base station equipment in an ADN are jointly scheduled; an interval method is adopted, so that the uncertainty of RES output and a communication load is considered; and simultaneous optimization and scientific consideration of system economy and low-carbon benefits can be realized.

Description

technical field [0001] The invention relates to the technical field of energy optimization and dispatching, in particular to a multi-objective optimization operation method of an active distribution network considering the access of 5G base stations. Background technique [0002] At present, increasing the proportion and utilization efficiency of renewable energy (RES) in final energy consumption and building a new power system with new energy as the main body have become the key points of my country's energy system construction under the goals of "carbon peak" and "carbon neutrality". important topic. In recent years, active distribution network (ADN) technology has created good conditions for large-scale distributed renewable energy grid integration, but due to the inherent limitations of the current distribution network structure and the intermittency of renewable energy, it is necessary to realize RES under the framework of ADN To make full use of RES power generation, a...

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Problems solved by technology

In practical applications, stochastic optimization must rely on a large amount of reliable historical data to extract an accurate description of uncertain factors, while robust optimization generally only focuses on uncertain scenarios that are most unfavorable to the realization of system goals, and the obtained operating strategies are often too conservative

The above methods cannot well meet the needs of ADN operation decision-making with the main goal of promoting RES utilization

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