A hybrid optimization approach to evaluating load capacity in distribution networks with new energy and energy storage integration

New energy can enhance the load capacity of the distribution networks, and the addition of energy storage can suppress the fluctuations caused by the uncertainty of new energy, promoting the stable load absorption of the distribution networks. This paper explored the impact of new energy and energy storage integration into distribution network load-carrying capacity and proposed a method for evaluating the load-carrying capacity of the distribution networks by improving GA-BWO with voltage adaptive control. Under the premise of considering the integration of new energy and energy storage access to the distribution networks, the impact of load increase on the status of the distribution network is derived. Constructing a distribution network load-carrying capacity evaluation indicator system with safety, flexibility, and economy, then calculating indicator weights using the AHP-EWM method and building evaluation function. Building a distribution network load carrying capacity model based on objective function and constraint conditions on this basis, utilizing bus voltage to adaptively control the balance factor and development stage of the Beluga algorithm, and introducing the mutation process of the Genetic algorithm, realize the solution of load carrying capacity. Evaluate the distribution networks with new energy and energy storage, for example, prove the improvement effect of new energy and energy storage output characteristics on the load carrying capacity of the distribution networks and provide a theoretical basis for regional planning and construction.