scholarly journals Transmission Expansion Planning for the Optimization of Renewable Energy Integration in the Sulawesi Electricity System

2021 ◽  
Vol 13 (18) ◽  
pp. 10477
Author(s):  
Tumiran ◽  
Lesnanto Multa Putranto ◽  
Roni Irnawan ◽  
Sarjiya ◽  
Adi Priyanto ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Voltage Stability ◽  
Energy Integration ◽  
Voltage Level ◽  
Renewable Energy Integration ◽  
Expansion Planning ◽  
Transmission Expansion Planning ◽  
North Sulawesi ◽  
Electricity System ◽  
Transmission Expansion

In order to meet the growth in demand and the renewable energy integration target, the Sulawesi Electricity System (SES) should be expanded. Currently, the SES is divided into two systems, namely South and North Sulawesi. These two systems have different characteristics, such as the system size, reliability and operational cost. North Sulawesi is smaller, weaker and more expensive than the South System. In order to improve the system reliability, generation and transmission expansion planning should be executed simultaneously to meet the economical investment cost and satisfy the reliability standard. For this purpose, the necessity of a backbone system with a higher voltage level than the existing 150 kV system should be considered, including the interconnection option between the two existing systems in Sulawesi. A methodology based on economic and technical criteria was developed to determine the backbone voltage level. Two voltage level options were considered, namely 275 and 500 kV. Several criteria were considered in order to determine the backbone voltage level, including the economic voltage, the line-loading limit, N-1 contingency, short circuiting, transient stability, voltage stability and small signal stability. The backbone voltage candidates should fulfil all of the criteria. The simulation was conducted in base- and high-demand scenarios, considering the fluctuation of future economic growth. The load flow and the dynamic analysis were simulated in a DIgSILENT Power Factory environment. The results showed that the 275 kV backbone, which was built in 2022, would violate three criteria: the economic voltage, N-1 contingency and voltage stability. On the other hand, the 500 kV backbone voltage level fulfills all of the criteria. The result of this research was considered in the electricity planning documents in Sulawesi. From a technical and economical perspective, the 500 kV backbone was chosen for the SES.

scholarly journals An Enhanced Genetic Algorithm to Solve the Static and Multistage Transmission Network Expansion Planning

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Luis A. Gallego ◽  
Marcos J. Rider ◽  
Marina Lavorato ◽  
Antonio Paldilha-Feltrin
Keyword(s):  
Genetic Algorithm ◽  
Linear Programming ◽  
Heuristic Algorithms ◽  
Initial Population ◽  
Expansion Planning ◽  
Transmission Expansion Planning ◽  
Transmission Expansion ◽  
Local Improvement ◽  
Linear Programming Problems

An enhanced genetic algorithm (EGA) is applied to solve the long-term transmission expansion planning (LTTEP) problem. The following characteristics of the proposed EGA to solve the static and multistage LTTEP problem are presented, (1) generation of an initial population using fast, efficient heuristic algorithms, (2) better implementation of the local improvement phase and (3) efficient solution of linear programming problems (LPs). Critical comparative analysis is made between the proposed genetic algorithm and traditional genetic algorithms. Results using some known systems show that the proposed EGA presented higher efficiency in solving the static and multistage LTTEP problem, solving a smaller number of linear programming problems to find the optimal solutions and thus finding a better solution to the multistage LTTEP problem.

An approach for transmission expansion planning using neurocomputing hybridized with a genetic algorithm

1995 ◽  
Vol 115 (6) ◽  
pp. 18-32 ◽  
Author(s):  
Katsuhisa Yoshimoto ◽  
Keiichiro Yasuda ◽  
Ryuichi Yokoyama ◽  
Hideo Tanaka ◽  
Yoshiakira Akimoto
Keyword(s):  
Genetic Algorithm ◽  
Expansion Planning ◽  
Transmission Expansion Planning ◽  
Transmission Expansion
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