Optimal scheduling of electric vehicle in stochastic AC SCUC problem for large‐scale wind power penetration

Abstract

Summary Integration of highly volatile wind generation causes reliability and grid issues for system operator (SO). Plug‐in electric vehicles (PEVs) are mobile distributed source of active power that provides opportunity to use their battery storage for wind integration. The coordinated integration of wind volatility and PEVs fleet is studied under security‐constrained unit commitment (SCUC) model. In this regard, a stochastic SCUC with PEVs considering wind integration and line contingency is proposed. Wind volatility and PEVs driving behavior uncertainty is modeled through Monte Carlo simulations (MCS) of large number of scenarios with associated probabilities. This scenario has been reduced by Kantorovich distance (KD) matrix–based backward reduction technique. Moreover, pre‐line and post‐line contingency AC optimal power flow is used for network constraints in SCUC (AC SCUC). Due to consideration of N‐1 security criteria and wind power scenarios, the proposed model is mixed integer nonlinear programming (MINLP), which is computationally heavy and is thus solved by a two‐stage programming Benders decomposition (BD) approach. Different case studies are examined on modified IEEE reliability test system (RTS). Comparative analysis explores the impact on overall operational costs, PEV cost, wind curtailment, and locational marginal price (LMP) for congestion management. Simulation results validate that the proposed model is technoeconomically suitable for large‐scale wind power penetration.

WITHDRAWN: The efficient operating parameters estimation for a simulated plug-in hybrid electric vehicle

“…If there is no reduction in modal CO 2 intensities, CO 2 emission is projected to increase from 19.80 million metric tons in 2000-01 to 93.25 million metric tons of carbon equivalent in 2020-21 in India. Even a reduction of 1% per year in CO 2 intensity of all modes of transport is assumed, CO 2 emission is projected to increase at the rate of 7% per year between 2000-01 and 2020-21 (Schipper et al 2009;Berigai Ramaiaha et al 2018;Gupta et al 2019).…”

A day‐ahead sleeved power purchase agreement model for estimating the profit of wind farms in the Indian energy market

“…With the assistance of energy storage technologies, the volatility of WP can be mitigated 25 . Again, the usage of pumped hydro storages, 26,27 battery energy storage, 28 plug‐in electric vehicles, 29,30 etc. can additionally maximize the operating economy of WF.…”

An efficient solution method for integrated unit commitment and natural gas network operational scheduling under “Duck Curve”

“…Thus, one may find similar constraints and functions in other studies such as Refs. 13‐15. However, for the sake of completeness of our work, we present and explain them.…”