Open AccessMixed‐integer stochastic evaluation of battery energy storage system integration strategies in distribution systems
Author(s) -
Sepúlveda Rangel Camilo Alberto,
Canha Luciane Neves,
Sperandio Mauricio,
Miranda Vladimiro
Publication year - 2022
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/gtd2.12316
Subject(s) - mathematical optimization , battery (electricity) , computer science , energy storage , integer programming , stochastic programming , artificial neural network , monte carlo method , integer (computer science) , process (computing) , reliability engineering , engineering , mathematics , artificial intelligence , power (physics) , statistics , physics , quantum mechanics , programming language , operating system
This paper presents a new approach to the problem of defining an investment policy in battery energy storage systems in active distribution networks, taking into account a diversity of uncertainties. The proposed methodology allows the selection of type, capacity, and location of battery energy storage systems in distribution networks with distributed generation and electric vehicle charging stations. A mixed‐integer stochastic programming problem is cunningly approached with a metaheuristic, where fitness calculation with stochastic scenarios is performed by introducing an approximation to the operation costs in the form of a polynomial neural network, generated according to the Group Method of Data Handling—GMDH method, with strong computing speeding‐up. The quality of this approximation for heavy Monte Carlo simulations is assessed in a first case study using a 33‐bus distribution test system. The optimization planning model is then validated in the same test system using real data collected from solar and wind sources, demand, prices, and charging stations. Four types of batteries are compared considering degradation impact. The results demonstrate the practicality and advantages of this process.