Advances in Clean and Low-Carbon Power Generation Planning
Date Published: August 2018
Authors: Siyuan Chen, Zheng Quo, Pei Liu, Li Zheng
This paper focuses on the power generation expansion planning (GEP) problem which plays an important role in global energy supply, renewable energy utilization and carbon dioxide mitigation. The GEP problem can incorporate several important issues including renewable energy sources integration, operating reserve, deregulated power market, demand response and carbon pricing mechanisms. This paper provides a methodological framework to address the complex energy, economic and environmental considerations by adopting an integrated systematic approach featuring superstructure-based modeling, mixed-integer programming, multi-objective optimization, and optimization under uncertainty. Comparative advantages of these approaches in GEP problems are reviewed and discussed.