Generation Expansion Planning for a Real-world Power System: Aiming Towards Cost and Environmental Emission Minimization by Penetrating Huge Renewable Energy Sources

2021 ◽  
Author(s):  
S. Amosedinakaran ◽  
K. Mala ◽  
A. Bhuvanesh ◽  
S. Kannan ◽  
M. Karuppasamy Pandiyan
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Real World ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Generation Expansion Planning ◽  
Expansion Planning ◽  
Generation Expansion ◽  
World Power

scholarly journals Generation Expansion Planning of Crete Power System for High Penetration of Renewable Energy Sources

2010 ◽  
Vol 670 ◽  
pp. 407-414 ◽  
Author(s):  
Emmanuel S. Karapidakis ◽  
Yiannis A. Katsigiannis ◽  
Pavlos S. Georgilakis ◽  
Emmanuel Thalassinakis
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Renewable Energy Sources ◽  
Electricity Production ◽  
Energy Sources ◽  
Demand Model ◽  
Expansion Planning ◽  
Generation Expansion ◽  
Pumped Storage ◽  
Forms Of Carbon

In this paper the Crete’s Island power system, which is the largest isolated power system in Greece, is analyzed in two long term scenarios in order to estimate the corresponding costs and benefits associated with a significant high electricity production from renewable energy sources (RES) technologies in the period 2009-2020. In the first scenario, a 20% RES energy penetration in year 2020 is assumed, while in the second scenario the final RES energy penetration is increased to 50%, and it is achieved with the installation of hydro pumped storage systems. Long-range Energy Alternatives Planning (LEAP) software is used to develop the electricity demand model, as well as to estimate the gross electricity generation in Crete and the annual CO2 equivalent emissions for the considered scenarios. This study demonstrates that substantial RES production till 2020 is technically feasible, and provides benefits in the forms of carbon emission reductions, energy adequacy and dependency.

scholarly journals Multi-Period Generation Expansion Planning for Sustainable Power Systems to Maximize the Utilization of Renewable Energy Sources

2020 ◽  
Vol 12 (3) ◽  
pp. 1083 ◽  
Author(s):  
Qingtao Li ◽  
Jianxue Wang ◽  
Yao Zhang ◽  
Yue Fan ◽  
Guojun Bao ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Objective Function ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Generation Expansion Planning ◽  
Term Operation ◽  
Expansion Planning ◽  
Generation Expansion

The increasing penetration of renewable energy brings great challenges to the planning and operation of power systems. To deal with the fluctuation of renewable energy, the main focus of current research is on incorporating the detailed operation constraints into generation expansion planning (GEP) models. In most studies, the traditional objective function of GEP is to minimize the total cost (including the investment and operation cost). However, in power systems with high penetration of renewable energy, more attention has been paid to increasing the utilization of renewable energy and reducing the renewable energy curtailment. Different from the traditional objective function, this paper proposes a new objective function to maximize the accommodation of renewable energy during the planning horizon, taking into account short-term operation constraints and uncertainties from load and renewable energy sources. A power grid of one province in China is modified as a case study to verify the rationality and effectiveness of the proposed model. Numerical results show that the proposed GEP model could install more renewable power plants and improve the accommodation of renewable energy compared to the traditional GEP model.

Integration of renewable energy sources using generation expansion planning

2018 ◽  
Author(s):  
Catalina Alexandra Sima ◽  
George Cristian Lazaroiu ◽  
Virgil Dumbrava ◽  
George Cristian Lazaroiu ◽  
Mihai Tirsu ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Generation Expansion Planning ◽  
Expansion Planning ◽  
Generation Expansion
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