Congestion-Driven Transmission Expansion Planning Considering Wind Power Generation in Spot Markets

TL;DR

This paper presents a novel optimization framework for transmission expansion planning that uses congestion levels as a key driver, integrating wind power considerations in deregulated markets.

Contribution

It introduces a congestion-driven expansion model combining investment and operational decisions with a Benders decomposition approach, considering wind power impacts.

Findings

Effective expansion schemes identified for test systems

Model captures congestion costs and system effects accurately

Applicable to large-scale, real-world power systems

Abstract

The integration of a massive number of large-scale wind turbines brought about urgent technical challenge to power transmission network operators in terms of secure power supply and energy dispatching optimization. In this paper, an optimal framework is proposed for transmission expansion planning in a deregulated power market environment. The level of congestion in the network is utilized as the driving signal for the need of network expansion. A compromise between the congestion cost and the investment cost is used to determine the optimal expansion scheme. The long-term network expansion problem is formed as the decoupled combination of: 1) the master problem (minimization of investment costs subject to investment constraints and the Benders cuts generated by the operational problem (power pool) and 2) the operational problem, whose solution provides congestion details and associated multipliers. A proper power-pool model is developed and solved for congestion cost, congestion revenue, and transmission shadow prices. Also, we proposed to use a set of metrics to rate the effect of the expansion on the generators, demands, and the system as a whole. The proposed model is applied to the Garver six-bus system and to the IEEE 24-bus Reliability Test System.