Article
Generation Expansion Planning Considering High Share Renewable Energies Uncertainty
Proc. of the 2019 Twenty First International Middle East Power Systems Conference (MEPCON), Paper 5, pp. 1-7, Tanta University, Egypt, 17-19 December 2019.
(2019)
Abstract
Abstract— The objective of the power system Generation Expansion Planning (GEP) is to determine the best investment schedule of capacity, type of technology, time and where to install new plants to satisfy forecasted load within the given reliability criteria over a planning horizon. Renewable Energy Resources (RES) implementation within the GEP model represents a challenging problem due to the RES uncertainty prediction and representation difficulty. This paper presents a mathematical model for the RES uncertainty prediction and
proposes an optimal planning model for long-term GEP with high sharing of RES considering the uncertainty. The RES are represented as a conventional source with zero fuel cost and high forced outage rate within the GEP model. The GEP model considers the RES uncertainties impact, carbon dioxide gas emission reduction rate, inefficient generation units' retirement and the gradual penetration increasing of RES over the planning period. Mixed integer linear programming is carried out using MATLAB software to solve the proposed GEP model for a 20 years planning period.
Keywords
- Generation Expansion Planning,
- Renewable Energy Resources Uncertainty,
- Capacity Factor,
- Probability Density Function,
- CO2 gas emission.
Disciplines
Publication Date
December 17, 2019
DOI
10.1109/MEPCON47431.2019.9008180
Citation Information
Omar H. Abdalla, Maged A. Abu Adma, and Abdelmonem S. Ahmed: “Generation Expansion Planning Considering High Share Renewable Energies Uncertainty”, 2019 Twenty First International Middle East Power Systems Conference (MEPCON), Paper 5, pp. 1-7, Tanta University, Egypt, 17-19 December 2019.
DOI: 10.1109/MEPCON47431.2019.9008180