Secure Expansion of Energy Storage and Transmission Lines Considering Bundling Option Under Renewable Penetration

TL;DR

This paper develops a multi-stage co-planning model for energy storage, transmission expansion, and renewable integration, incorporating bundling options, uncertainty management, and security considerations, validated on standard test systems.

Contribution

It introduces a novel multi-stage co-planning framework that includes bundling transmission lines, renewable curtailment, and security assessment, solved efficiently with an accelerated Benders algorithm.

Findings

Effective integration of renewable energy sources under high penetration.

Bundling transmission lines can defer expansion needs.

The model successfully manages uncertainties and security constraints.

Abstract

This paper presents a multi-stage expansion model for the co-planning of transmission lines, battery energy storage (ES), and wind power plants (WPP). High penetration of renewable energy sources (RES) is integrated into the proposed model concerning renewable portfolio standard (RPS) policy goals. The possibility of bundling existing transmission lines to uprate power flow capacity is considered. Renewable energy curtailment and load shedding are included in the model to assess the system operation more precisely. Battery ES devices are co-planned to defer transmission expansion and renewable management. To make the time complexity of the problem tractable and capture the uncertainties of load and RES in an hourly resolution, a chronological time-period clustering algorithm is used to extract the representative hours of each planning stage. Additionally, the flexible ramp reserve is utilized to handle the uncertainty of RES. An accelerated Benders dual decomposition (BDD) algorithm is developed to solve the proposed model mixed-integer linear programming (MILP) formulation. The N-1 security criterion is evaluated by considering a designed contingency screening (CS) algorithm to identify higher risk contingencies. The effectiveness of the proposed co-planning model is evaluated using IEEE RTS 24-bus and IEEE 118-bus test systems.