2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE) 2019
DOI: 10.1109/iciteed.2019.8929948
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Long-Term Generation Expansion Planning in Sulawesi Electricity System Considering High Share of Intermittent Renewable Energy Resource

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Cited by 12 publications
(5 citation statements)
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“…A literature study was carried out in the first stage to obtain the variable data needed as the model input. The influencing factors for the enlargement planning of power plants consist of the installed generating capacity (X1), projection of electrical energy demand (X2), potential primary energy source (X3), energy Energy Sources mix policy (X4), generator technical data generation (X5), technology investment costs (X6), price of thermal generation as the primary energy (X7) (Babatunde et al, 2019;Muthahhari et al, 2019;Sima et al, 2019;Moreira et al, 2017;Winarno et al, 2017;Khan et al, 2014). The data on these influencing factors were collected from official documents, such as the General Plan for the Provision of Electricity (RUPTL), the General Plan for National Energy (RUEN), and General Plan for National Electricity (RUKN).…”
Section: Figure 1 Balmoral Model Structurementioning
confidence: 99%
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“…A literature study was carried out in the first stage to obtain the variable data needed as the model input. The influencing factors for the enlargement planning of power plants consist of the installed generating capacity (X1), projection of electrical energy demand (X2), potential primary energy source (X3), energy Energy Sources mix policy (X4), generator technical data generation (X5), technology investment costs (X6), price of thermal generation as the primary energy (X7) (Babatunde et al, 2019;Muthahhari et al, 2019;Sima et al, 2019;Moreira et al, 2017;Winarno et al, 2017;Khan et al, 2014). The data on these influencing factors were collected from official documents, such as the General Plan for the Provision of Electricity (RUPTL), the General Plan for National Energy (RUEN), and General Plan for National Electricity (RUKN).…”
Section: Figure 1 Balmoral Model Structurementioning
confidence: 99%
“…In this study, the optimization of generating capacity development planning was obtained as a power plant capacity development plan with the lowest cost yet still fulfilling the power adequacy and reliability criteria. In this case, the lowest supply cost was achieved by minimizing the Net Present Value (NPV) of all cost components, including investment, fuel, O&M, and unserved energy (USE) costs (Muthahhari et al, 2019).…”
Section: Cost Analysismentioning
confidence: 99%
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“…The escalating growth in electricity demand needs to be addressed seriously, and one effective approach is through GEP (Muthahhari et al, 2019(Muthahhari et al, , 2020Muttaqien, 2017). The GEP aims to meet the demand of electricity by considering various aspect and economic value (IRENA, 2017;Khan et al, 2014;Muthahhari et al, 2019Muthahhari et al, , 2020Pereira et al, 2017). However, the capacity planning for power generation that has been carried out, now face the issue of CO 2 emission and climate changes (IRENA, 2022).…”
Section: Introductionmentioning
confidence: 99%
“…The focus of research and planning for generation expansion planning by considering renewable energy has been carried out in various countries, both baseload or variable renewable energy. For the example, in the USA (Nguyen and Felder, 2020), Ireland (Fitiwi et al, 2020), France (Seck et al, 2020), China (Chen et al, 2010;Khan et al, 2014;Shengyu et al, 2015), Brazil (Luz et al, 2018), Portugal (Pereira et al, 2017), Egypt (Rady et al, 2018), Pakistan (Shinwari, 2012), Oman (Malik and Kuba, 2015), South Africa (Wright et al, 2019), Bangladesh (Khan, 2019), Malaysia (Shirley and Kammen, 2015) and Indonesia (Budi, 2017;Muthahhari et al, 2019;Muttaqien, 2017;Putranto et al, 2023;Putrisia, 2017;Tumiran et al, 2020Tumiran et al, , 2021 have considered the environmentally friendly resource or renewable energy sources (RES) in their generation expansion planning model.…”
Section: Introductionmentioning
confidence: 99%