Optimal Two-Stage Programming for Integration of PHEV Parking Lots in Industrial Microgrids

TL;DR

This paper presents a two-stage optimization model for siting, sizing, and scheduling PHEV parking lots in industrial microgrids to minimize costs and improve network performance, considering market interactions.

Contribution

It introduces a novel two-stage model integrating parking lot placement and PHEV scheduling in microgrids, accounting for economic and network constraints.

Findings

Minimized total system costs including investment, power loss, and scheduling.

Optimized parking lot siting and sizing reduces network losses and improves voltage profiles.

Enhanced profit for parking lot owners through market-aware scheduling.

Abstract

With the progressive exhaustion of fossil energy and the enhanced awareness of environmental protection, more attention is being paid to plug in hybrid electric vehicles. Inappropriate siting and sizing of plug in hybrid electric vehicles parking lots could have negative effects on the development of plug in hybrid electric vehicles, the layout of the city traffic network, and the convenience of plug in hybrid electric vehicles drivers as well as lead to an increasing in the network losses and a degradation in voltage profiles at some nodes. Given this background, this paper aims to allocate parking lots in Industrial Micro-grids with the objective of minimizing system costs including investment cost, power loss and scheduling cost as possible objectives. A two-stage model has been designed for this purpose. The optimal siting and sizing of parking lots in order to minimize the investment cost of parking lots is performed in the first stage. At the second stage, the optimal plug in hybrid electric vehicles scheduling problem is solved considering market interactions to provide profit to the parking lots owner with taken into account various network constraints. Conclusions are duly drawn with a realistic example.