Joint Distribution Network and Renewable Energy Expansion Planning Considering Demand Response and Energy Storage-Part I: Stochastic Programming Model

被引:154
作者
Asensio, Miguel [1 ]
Meneses de Quevedo, Pilar [1 ]
Munoz-Delgado, Gregorio [1 ]
Contreras, Javier [1 ]
机构
[1] Univ Castilla La Mancha, ETS Ingenieros Ind, E-13071 Ciudad Real, Spain
基金
欧盟第七框架计划;
关键词
DR; renewable energy sources (RES) expansion planning; distribution network expansion planning; ESS; distribution systems; MULTISTAGE MODEL; GENERATION; RELIABILITY;
D O I
10.1109/TSG.2016.2560339
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The first part of this two-paper series describes the incorporation of demand response (DR) and energy storage systems (ESSs) in the joint distribution and generation expansion planning for isolated systems. The role of DR and ESS has recently attracted an increasing interest in power systems. However, previous models have not been completely adapted in order to treat DR and ESS on an equal footing. The model presented includes DR and ESS in the planning of insular distribution systems. Hence, this paper presents a novel model to decide the joint expansion planning of distributed generation and the distribution network considering the impact of ESS and price-dependent DR programs. The problem is formulated as a stochastic-programming-based model driven by the maximization of the net social benefit. The associated deterministic equivalent is formulated as a mixed-integer linear program suitable for commercially available software. The outcomes of the model are the location and size of new generation and storage units and the distribution assets to be installed, reinforced or replaced. In the second companion paper, an insular case study (La Graciosa, Canary Islands, Spain) is provided illustrating the effects of DR and ESS on social welfare.
引用
收藏
页码:655 / 666
页数:12
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