Zhi Wu, Pingliang Zeng, Xiao-Ping Zhang. Two-stage stochastic dual dynamic programming for transmission expansion planning with significant renewable generation and N-k criterion[J]. 中国电机工程学会电力与能源系统学报(英文), 2016,2(1):3-10.
Zhi Wu, Pingliang Zeng, Xiao-Ping Zhang. Two-stage stochastic dual dynamic programming for transmission expansion planning with significant renewable generation and N-k criterion[J]. CSEE Journal of Power and Energy Systems, 2016, 2(1): 3-10.
Zhi Wu, Pingliang Zeng, Xiao-Ping Zhang. Two-stage stochastic dual dynamic programming for transmission expansion planning with significant renewable generation and N-k criterion[J]. 中国电机工程学会电力与能源系统学报(英文), 2016,2(1):3-10. DOI: 10.17775/CSEEJPES.2016.00003.
Zhi Wu, Pingliang Zeng, Xiao-Ping Zhang. Two-stage stochastic dual dynamic programming for transmission expansion planning with significant renewable generation and N-k criterion[J]. CSEE Journal of Power and Energy Systems, 2016, 2(1): 3-10. DOI: 10.17775/CSEEJPES.2016.00003.
Two-stage stochastic dual dynamic programming for transmission expansion planning with significant renewable generation and N-k criterion
摘要
Abstract
The large-scale integration of renewable energy sources (RES) is the global trend to deal with the energy crisis and greenhouse emissions. Due to the intermittent nature of RES together with the uncertainty of load demand
the problem of transmission expansion planning (TEP) is facing more and more challenges from uncertainties. In this paper
the TEP problem is modeled as a two-stage formulation
so as to minimize the total of investment costs and generation costs. To ensure the utilization level of the RES generation
the expansion plan is required to provide sufficient transmission capacity for the integration of RES. Also
N-k security criterion is considered into the model
so the expansion plan can meet the required security criteria. The stochastic dual dynamic programming (SDDP) approach is applied to consider the uncertainties
and the whole model is solved by Benders' decomposition technique. Two case studies are carried out to compare the performance of the SDDP approach and the deterministic approach. Results show that the expansion plan obtained by the SDDP approach has a better performance than that of the deterministic approach.