Co-optimization generation and transmission planning for maximizing large-scale solar PV integration

被引：32

作者：

Alanazi, Mohana ^{[1
]}

Mahoor, Mohsen ^{[2
]}

Khodaei, Amin ^{[2
]}

机构：

[1] Aljouf Univ, Dept Elect Engn, Sakaka 72388, Aljouf, Saudi Arabia

[2] Univ Denver, Dept Elect & Comp Engn, Denver, CO 80210 USA

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2020年 / 118卷 / 118期

关键词：

Solar generation; Solar energy curtailment; Large-scale solar PV; Benders decomposition; DISTRIBUTED GENERATION; CAPACITY; PLACEMENT; FUTURE; MODELS;

D O I：

10.1016/j.ijepes.2019.105723

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 shift from conventional generation to renewable energy resources in an effort to reduce emissions has led to a rapid proliferation of renewable resources especially solar photovoltaic (PV) in power systems. More and more large-scale solar PV farms are expected to be integrated in the existing grids in the foreseeable future in compliance with the energy sector renewable portfolio standards (RPS) in different states and countries. The integration of large-scale solar PV into power systems, however, will necessitate a system upgrade by adding new dispatchable units and transmission lines. In this paper, a co-optimization generation and transmission planning model is proposed to maximize large-scale solar PV hosting capacity. The solution of this model further determines the optimal solar PV size and location, along with potential required PV energy curtailment. Numerical simulations study the proposed co-optimization planning problem with and without considering the solar PV integration and exhibit the effectiveness of the proposed model.

引用

页数：8