Optimal Dispatch of a Standalone PV-Diesel-Battery Microgrid using Non-Commercial MINLP Solvers

Авторы: Narynbaev Alisher F., Vaskov Alexey G., Mozder Nikolay Yu
Сборник: 2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)
Серия: IEEE Conference Publications
Год издания: 2022
Издательство: Institute of Electrical and Electronics Engineers
Местоположение издательства: Piscataway, NJ, United States
Первая страница: 264
Последняя страница: 270
DOI: 10.1109/icieam54945.2022.9787178
Аннотация: The paper presents an approach to optimize the dispatch of a standalone microgrid consisting of diesel generators, photovoltaic modules, and battery storage units. The day-ahead unit commitment and economic dispatch of an example microgrid are formulated in the form of a mixed-integer nonlinear programming (MINLP) problem. The objective function of the optimization problem was defined as a daily sum of the microgrid operational costs. The problem was constrained by the condition of power balance, the unit's minimum up-time and down-time constraints, dispatching availability, minimum and maximum power limits, and the battery storage maximum depth of discharge. Two non-commercial deterministic MINLP solvers were used to solve the formulated problem of finding a global optimal solution for the day-ahead hourly PV-diesel-battery microgrid scheduling.
Добавил в систему: Нарынбаев Алишер Фархатович

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