Comparison of Different Approaches for Solar PV and Storage Sizing

We study the problem of optimally and simultaneously sizing solar photovoltaic (PV) and storage capacity in order to partly or completely offset grid usage. While prior work offers some insights, researchers typically consider only a single sizing approach. In contrast, we use a firm theoretical foundation to compare and contrast sizing approaches based on robust simulation, robust optimization, and stochastic network calculus. We evaluate the robustness and computational complexity of these approaches in a realistic setting to provide practical, robust advice on system sizing.

1 Introduction

In the last few years, the prices of solar panels and storage have dropped dramatically, putting them in reach of many consumers. Companies such as Trina, Yingli, and Canadian Solar offer solar panels at a cost of less than USD 0.5/Watt, and companies such as Tesla, Sonnen, and Moixa provide off-the-shelf (albeit expensive) storage solutions.