Mixed integer nonlinear programming for Joint Coordination of Plug-in Electrical Vehicles Charging and Smart Grid Operations

TL;DR

This paper presents a mixed integer nonlinear programming approach to optimize the joint coordination of PEV charging and smart grid operations, aiming to reduce costs and manage energy demands effectively.

Contribution

It introduces a novel solver for the complex MINP model that integrates PEV charging strategies with grid control, demonstrating improved efficiency through simulations.

Findings

The proposed solver efficiently handles the MINP problem.

Joint coordination reduces overall energy costs.

Simulation results validate the approach's effectiveness.

Abstract

The problem of joint coordination of plug-in electric vehicles (PEVs) charging and grid power control is to minimize both PEVs charging cost and energy generation cost while meeting both residential and PEVs' power demands and suppressing the potential impact of PEVs integration. A bang-bang PEV charging strategy is adopted to exploit its simple online implementation, which requires computation of a mixed integer nonlinear programming problem (MINP) in binary variables of the PEV charging strategy and continuous variables of the grid voltages. A new solver for this MINP is proposed. Its efficiency is shown by numerical simulations.