This study presents a methodology for generation expansion planning (GEP) under the presence of uncertainty of multiple renewable energy sources (RES). Both long‐ and short‐term uncertainties are represented and incorporated within the proposed GEP model. The long‐term RES uncertainty is simulated by the annual variation of the capacity credit. The short‐term uncertainty is modelled by means of the net power based on the hourly variation of RES output power and load curve. The proposed GEP model is solved through three steps. In the first step, the proposed robust GEP model is solved considering the long‐term uncertainty of the multiple RES. Short‐term uncertainty is considered when solving the GEP model in the second step. In the last step, the robustness of the obtained robust GEP model results is verified by checking the reliability criteria. A new correlated polyhedral uncertainty set is introduced considering the correlation between the different RES uncertain coefficients through its correlation matrix. Different GEP results are presented for different uncertainty scenarios. The results demonstrate that considering the correlation among uncertain coefficients provides insight for effects of correlation on investment strategies. Reserve margin is adapted to cope with uncertainty impact. Reliability criteria are verified by DIgSILENT generation adequacy tool.

No abstract

This article presents a Generation Expansion Planning (GEP) methodology considering the impact of unit commitment constraints under uncertainties of both Renewable Energy Sources (RES) and forecasted load. Spatial and temporal data-driven robust optimization under the correlation of RES uncertainty is analyzed. As the intermittency nature of RES complicates dynamic characteristics of the net load profile and increases the need for operational flexibility, a robust GEP model is proposed considering the unit commitment constraints and data-driven robust optimization in addition to the correlation among different RES uncertainties. Long-and short-term uncertainty is represented and incorporated into the proposed GEP model. The GEP is solved through three stages. In the first stage, the GEP model focuses on the RES generation planning considering the long-term uncertainties. The impact of unit commitment constraints under short-term uncertainty is considered in the second stage. An appropriate Energy Storage System (ESS) is studied in the third stage. The results have demonstrated that: (a) considering the data-driven robust optimization under correlation of RES uncertainty reduces the conservativeness and

No abstract

Non-linear loads connected to an electric power system produce Harmonic currents, harmonics are introduced into the system in the form of currents whose frequencies are the integral multiples of the fundamental power system frequency (50/60 Hz). The harmonic currents interact with the supply system impedance causing distortions in supply output voltage and current, which has a very bad effect on all other loads connected to the system and the power supply itself, such as overheating, increasing powers losses in the system, and malfunction of protection and control devices connected to the system. This paper presents a study to analyze the effect of voltage and current harmonics resulting from non-linear loads such as variable frequency drive, uninterruptable power supply, and battery chargers on operation and power rating of synchronous generator. The study introduces an optimized method for selecting the suitable generator power rating to withstand harmful harmonics effects for a safe operation of the generator, saving its lifetime, and to improve the power quality of the power system. The method depends on analyzing the effect of increasing the supply generator power rating on the THVD produced from non-linear loads harmonics connected to the system. By calculating the THVD for each case of a generator power rating, a mathematical relationship between generator power rating and TVHD can be found. So, the relationship between generator power rating and total harmonic distortion in the power system will be discussed clearly.