Open AccessModel to evaluate the system‐wide impact of residential and commercial photovoltaic and storage units intended for self‐consumption
Author(s) -
Martín Sebastián,
PérezRuiz Juan,
LópezPérez Pablo
Publication year - 2019
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2019.0228
Subject(s) - photovoltaic system , computer science , reliability engineering , electric power system , renewable energy , demand response , operations research , automotive engineering , environmental economics , power (physics) , engineering , electricity , electrical engineering , economics , physics , quantum mechanics
This study presents a model to analyse the effect of an increasing level of residential and commercial photovoltaic and storage devices, intended for self‐consumption, on a power system. A whole year is focused and modelled through a set of selected representative days. A 24‐h two‐stage stochastic unit commitment is solved for each representative day and expected results are weighted to achieve annual expected results. This optimisation problem includes appropriate representation of the day‐ahead and on‐line operations and an adequate representation of the uncertainty associated with renewable sources and demand. The main contributions are: (i) the definition of a single model in which customers are price‐makers and large‐scale and customers’ installations are appropriately modelled, therefore bridging the current macroscopic and microscopic modelling approaches, and (ii) the division of customers into four non‐overlapping groups, which allows a sensitivity analysis of the effect of each group. Five main results are focused: net demand, CO 2 emissions, load factors, system operation cost, and customer savings. The model is applied to a case study based on the Spanish power system to show the model capability to quantify the effect of an increasing level of these promising technologies on a power system.