Abstract
In this paper a novel Branch and Bound (B&B) algorithm to solve the transmission expansion planning which is a non-convex mixed integer nonlinear programming problem (MINLP) is presented. Based on defining the options of the separating variables and makes a search in breadth, we call this algorithm a B&BML algorithm. The proposed algorithm is implemented in AMPL and an open source Ipopt solver is used to solve the nonlinear programming (NLP) problems of all candidates in the B&B tree. Strategies have been developed to address the problem of non-linearity and non-convexity of the search region. The proposed algorithm is applied to the problem of long-term transmission expansion planning modeled as an MINLP problem. The proposed algorithm has carried out on five commonly used test systems such as Garver 6-Bus, IEEE 24-Bus, 46-Bus South Brazilian test systems, Bolivian 57-Bus, and Colombian 93-Bus. Results show that the proposed methodology not only can find the best known solution but it also yields a large reduction between 24% to 77.6% in the number of NLP problems regarding to the size of the systems.
Original language | English |
---|---|
Title of host publication | Proceedings of the 2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013 |
Pages | 234-238 |
Number of pages | 5 |
ISBN (Electronic) | 978-1-4799-2803-3 |
DOIs | |
Publication status | Published - 2013 |
MoE publication type | A4 Article in a conference publication |
Event | International Conference on Environment and Electrical Engineering - Wroclaw, Poland Duration: 1 Nov 2013 → 3 Nov 2013 Conference number: 13 |
Conference
Conference | International Conference on Environment and Electrical Engineering |
---|---|
Abbreviated title | EEEIC |
Country | Poland |
City | Wroclaw |
Period | 01/11/2013 → 03/11/2013 |
Keywords
- Branch and Bound algorithm
- Nonlinear mixed integer programming
- Transmission expansion planning