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Journal of Engineering and Applied Sciences
Year: 2017 | Volume: 12 | Issue: 6 SI | Page No.: 7805-7814
DOI: 10.36478/jeasci.2017.7805.7814  
Robust Transmission Network Expansion Planning Considering the Effect of Uncertain Generation from Renewable Energy Source
Rongrit Chatthaworn and Surachai Chaitusaney
 
Abstract: This study proposes a novel method of Robust Transmission Network Expansion Planning (RTNEP) considering effect of renewable energy generation. The RTNEP problem will be formulated by using an AC Model instead of DC Model in order to obtain more accurate result. The investment cost of transmission lines and operating cost of conventional generators are considered as the objective function of the planning. In order to obtain the robust expansion plan for all possible scenarios of renewable energy generation and loads, the method to select the suitable scenarios as the considered criteria in the planning is proposed. To obtain the optimal expansion plan, a metaheuristic algorithm called Adaptive Tabu Search (ATS) is employed in the proposed RTNEP. With the proposed method, ATS iterates between the main problem which minimizes the investment cost and operating cost and the subproblem which is the process to avoid the violation of system operating constraints by using generation re-dispatch and curtailments of renewable energy generation and loads. The IEEE Reliability Test System 79 (RTS 79) is used to test the proposed method and to study the effect of renewable energy generation on RTNEP. The results show that the proposed RTNEP provides the solution more robust than the previous works and the effect of renewable energy generation on RTNEP is rather high which cannot be neglected in the planning.
 
How to cite this article:
Rongrit Chatthaworn and Surachai Chaitusaney, 2017. Robust Transmission Network Expansion Planning Considering the Effect of Uncertain Generation from Renewable Energy Source. Journal of Engineering and Applied Sciences, 12: 7805-7814.
DOI: 10.36478/jeasci.2017.7805.7814
URL: http://medwelljournals.com/abstract/?doi=jeasci.2017.7805.7814