Price-Based Market Clearing with V2G Integration Using Generalized Benders Decomposition
Reza Jamalzadeh, Sajjad Abedi, Masoud Rashidinejad, and Mingguo Hong

TL;DR
This paper introduces a generalized Benders decomposition approach to efficiently solve a complex, nonlinear market clearing problem incorporating Vehicle-to-Grid (V2G) technology, aiming to improve payment consistency and computational performance.
Contribution
It presents a novel MINLP formulation for payment cost minimization in V2G-integrated markets and develops a GBD-based solution method for large-scale systems.
Findings
The GBD method demonstrates fast convergence and high computational efficiency.
V2G integration impacts market clearing prices and payments.
The proposed approach scales well with increased decision variables.
Abstract
Currently, most ISOs adopt offer cost minimization (OCM) auction mechanism which minimizes the total offer cost, and then, a settlement rule based on either locational marginal prices (LMPs) or market clearing price (MCP) is used to determine the payments to the committed units, which is not compatible with the auction mechanism because the minimized cost is different from the payment cost calculated by the settlement rule. This inconsistency can drastically increase the payment cost. On the other hand, payment cost minimization (PCM) auction mechanism eliminates this inconsistency; however, PCM problem is a nonlinear self-referring NP-hard problem which poses grand computational burden. In this paper, a mixed-integer nonlinear programing (MINLP) formulation of PCM problem are presented to address additional complexity of fast-growing penetration of Vehicle-to-Grid (V2G) in the…
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Taxonomy
TopicsElectric Vehicles and Infrastructure · Electric Power System Optimization · Smart Grid Energy Management
