Stochastic Generation and Transmission Planning Considering Future Renewable and Gas Opportunities in Queensland, Australia

摘要

This paper assesses long term electricity planning under uncertain load growth, gas price, renewable production and new technologies' investment costs for the state of Queensland, Australia in 2030. A stochastic programming approach is mathematically formulated to decide which technology to be built, while determining its capacity and location. Additionally, new investments in transmission lines are examined. The problem is modeled as a mixed-integer linear programing approach and is solved using four distinct cases to assess the impact of carbon costs, the renewable energy target and retirement of coal-based generation.