With the progressive exhaustion of fossil energy and the enhanced awareness of
environmental protection, more attention is being paid to electric vehicles (EVs) …

The optimal power flow (OPF) problem is nonconvex and generally hard to solve. In this
paper, we propose a semidefinite programming (SDP) optimization, which is the dual of an …

This paper proposes three strong second order cone programming (SOCP) relaxations for
the AC optimal power flow (OPF) problem. These three relaxations are incomparable to …

Over the past half-century, Optimal Power Flow (OPF) has become one of the most important
and widely studied nonlinear optimization problems. In general, OPF seeks to optimize the …

The uptake of variable megawatts from photovoltaics (PV) challenges distribution system
operation. The primary problem is significant voltage rise in the feeder that forces existing …

The deregulated electricity market calls for robust optimal power flow (OPF) tools that can
provide a) deterministic convergence; b) accurate computation of nodal prices; c) support of …

The electricity output of combined heat and power (CHP) units is constrained by their heat
output corresponding to customers' heat demand, which makes it difficult for the CHP units to …

This paper proposes a sequential convex optimization method to solve broader classes of
optimal power flow (OPF) problems over radial networks. The non-convex branch power …

By integrating a genetic algorithm (GA) with a nonlinear interior point method (IPM), a novel
hybrid method for the optimal reactive power flow (ORPF) problem is proposed in this paper …

We have recently observed and justified that the optimal power flow (OPF) problem with a
quadratic cost function may be solved in polynomial time for a large class of power networks …