Simultaneous Planning of Hybrid Hydrogen-Battery Storage and Wind-Solar Renewable Resources with the Aim of Improving the Reliability of Electrical Energy Distribution Networks

Currently, the increasing population growth and the subsequent rapid increase in the demand for electrical energy have focused the attention of power grid planners on renewable energy sources such as wind and solar as alternatives to fossil fuel-based sources. However, the inherent characteristics of these sources, namely the intermittent and non-distributable nature of their output power, affect the performance of the grid, especially reliability. Therefore, several solutions have been proposed to meet the aforementioned challenge, among which energy storage systems are recognized as an efficient solution. Among the various energy storage technologies, battery storage due to its cost-effectiveness and high adaptability to wind and solar energy sources, and hydrogen storage due to its high energy density and low leakage rate, have become attractive technologies in electric power distribution networks. Therefore, in this thesis, a cost-oriented reliability-based planning model is developed to determine the optimal capacity and installation location of hybrid hydrogen-battery storage and wind-solar renewable resources, considering urban development constraints such as lack of available space. The proposed model not only considers the investment and operation costs of wind and solar renewable resources and hydrogen and battery storage, but also examines the cost of power outages for consumers as an indicator of reliability. In addition, constraints such as the operation and installation constraints of distributed energy resources, available space, Kirchhoff's laws, voltage limits, and investment budget are considered as constraints of the proposed model. Genetic algorithm is used to solve the proposed model, which is a nonlinear, convex, mixed-integer optimization problem. Finally, the proposed model, while considering the uncertainties in renewable wind and solar resources based on the Monte Carlo method, was implemented on a part of the electric energy distribution network of Tehran metropolis and its results were analyzed.

کلیدواژه ها:

Genetic Algorithm ، Planning of Hybrid Hydrogen-Battery Storage ، Planning of Renewable Wind and Solar Resources ، Distribution Network ، Monte Carlo Method ، Reliability.