Deterministic Approach for Generation and Transmission Expansion Planning

被引：5

作者：

Sima, Catalina Alexandra ^{[1
]}

Lazaroiu, George Cristian ^{[1
,2
]}

Dumbrava, Virgil ^{[1
]}

Lazaroiu, George Cristian ^{[1
,2
]}

Panait, Cornel ^{[2
]}

Roscia, Mariacristina ^{[3
]}

机构：

[1] Univ Politehn Bucuresti, Bucharest, Romania

[2] Univ MARITIMA Constanta, Constanta, Romania

[3] Univ Bergamo, Bergamo, Italy

来源：

2018 5TH INTERNATIONAL SYMPOSIUM ON ENVIRONMENT-FRIENDLY ENERGIES AND APPLICATIONS (EFEA) | 2018年

关键词：

generation expansion planning; transmission expansion planning; optimization; renewable energy sources; LINEAR-PROGRAMMING MODEL;

D O I：

10.1109/EFEA.2018.8617109

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In this paper, the Generation and Transmission Expansion Planning (G&TEP) problem, considering two case studies, is analyzed. In the first case, the GEP and TEP problems are considered separately, while in the second GEP and TEP problems are solved together, thus G&TEP problem appears. The objective function of the mixed-integer linear programming (MILP) problem is minimizing the expected generation costs, loadshedding costs and investment costs. The planner can modify the presented mathematical model in order to satisfy any other system requirements considering G&TEP problem. The approach presented in this paper is a deterministic static one. The investment decision is considered to be made at the beginning of the planning horizon.

引用

页数：6

共 15 条

[1] Transmission-expansion planning based on a non-linear programming algorithm [J].