This paper explores the price setting of demand-side flexibility, modelled as consumers’ voluntary load reduction, in distribution grids. It develops a long-term equilibrium optimization model with a bi-level setting for voluntary demand-side flexibility. In the Upper Level (UL), the...

Recently, multi-agent systems (MASs) have got attention due to consideration of distributed optimization and control in blockchain (BC) based energy trading applications. However, due to the dynamic behavior of uncertain and random variables, the coordination and control of MAS is still di cult...

Solving dynamic economic models that capture salient real-world heterogeneity and non-linearity requires the approximation of high-dimensional functions. As their dimensionality increases, compute time and storage requirements grow exponentially. Sparse grids alleviate this curse of...

This conceptual article seeks to integrate blockchain into current theory on the governance of inter-organizational exchanges within business networks. It is posited that a blockchain governance structure comprised of administrative, platform, and application level mechanisms represents a...

As climate change sharpens the focus on our electricity systems, there is widespread agreement that the institutions that govern our electric grid must change to realize a clean energy future in the timescale necessary. Scholars are actively debating how grid governance needs to change, but in...

This paper addresses the issue of optimal day-ahead scheduling of a plug-in electric vehicles (PEVs) aggregator that participates in the electricity market and offers an out-of-market balancing service to the local renewable power penetrated distribution system in a snow-prone area. The proposed...