Numerical simulation analysis of the impact of photovoltaic systems and energy storage technologies on centralised generation: a case study for Australia

Abstract

In response to climate change concerns, most of the industrialised countries have committed in recent years to increase their share of Renewable Energy Sources to reduce Greenhouse Gas emissions. Therefore, the rapid deployment of small-scale photovoltaic (PV) systems, mainly in residential applications, is starting to represent a considerable portion of the available electrical power generation and, for this reason, the stochastic and intermittent nature of these systems are affecting the operation of centralised generation (CG) resources. Network operators are constantly changing their approach to both short-term and long-term forecasting activities due to the higher complexity of the scenario in which more and more stakeholders have active roles in the network. An increasing number of customers must be treated as prosumers and no longer only as consumers. In this context, storage technologies are considered the suitable solution. These can be necessary in order to solve and fill the problems of the renewable distributed sources are introducing in the management of the network infrastructure. The aim of this work was to create a model in order to evaluate the impact of power generation considering PV systems in Australia along with a model to simulate Battery Energy Storage Systems (BESSs) and Electric Vehicles future contributions using MATLAB. The methodology used to develop these models was based on statistical assumptions concerning the available details about PV systems installed and current storage technologies. It has been shown that in all the scenarios analysed, the future adoption of rooftop PV panels and impact on the CG is incredibly higher than the uptake of energy storage systems. Hence, the influence on the demand will be driven by the behaviour of the PV systems. Only in the hypothetical scenario in which the installations of BESSs will assume comparable levels of the PV systems, it will be possible to better manage the centralised resources.

Energy Management Strategy Based on Marine Predators Algorithm for Grid-Connected Microgrid

“…Their results indicated the superiority of the proposed method in terms of exploration of the search space and convergence towards an optimal solution (Karthik et al, 2021). Brenna et al, simulated PV system and energy storage technologies considering electrical vehicles in order to explore their impact on the centralized power system, they deduced that the future adoption of rooftop photovoltaic panels and the impact on centralized generation is incredibly higher than the adoption of energy storage systems (Brenna et al, 2020). Neto et al, proposed a reliable energy management strategy based on the virtual inertia concept with the aim of simplifying the communication link between the grid and the energy storage system of a DC microgrid (Neto et al, 2020).…”

REVUB-Light: A parsimonious model to assess power system balancing and flexibility for optimal intermittent renewable energy integration – A study of Suriname

“…solar and wind) [1], challenges arise for balancing power systems adequately, i.e., to guarantee grid stability and power quality [2]. IRE comes with a burden to conventional ways of power generation, which has to be dealt with in a proper way, not only for the sake of optimal balancing, but also considering the additional stresses on power generation units because of altered operational schemes [3,4]. The challenge becomes greater for small (island-like) power systems with relative low grid inertia.…”

“…While storage technologies present a promising solution for the future, the state-of-the-art may still come at a high cost, which limits the large-scale utilization at present [2,5]. Furthermore, storage system capabilities require careful consideration, since these may not always meet the requirements to properly manage conventional generation in turn [4]. In this regard, hydropower presents an effective means to meet grid inertia requirements thanks to low-cost spinning reserve (SR).…”

Connecting Parking Facilities to the Electric Grid: A Vehicle-to-Grid Feasibility Study in a Railway Station’s Car Park

“…Hartman et al [29] assessed the influence of various exploitation scenarios of EVs on the German grid in 2030. Drude et al [30] examined photovoltaics and V2G approaches for peak demand reduction in Brazilian urban regions in a smart grid environment. Similar studies were performed for other areas in the world [31][32][33][34].…”