Probabilistic Evaluation of a Power System’s Reliability and Quality Measures

This paper proposes a reliability-based optimal scheduling model of integrated microgrids. The proposed model is capable of delivering optimal scheduling of each individual microgrid and aggregated system. In addition, it is compatible with both grid-connected and islanded operation modes. The developed problem formulation of the proposed model takes into account the reliability indices SAIDI, SAIFI, and CAIDI to evaluate the reliability of the integrated system. Numerical simulations on a modified IEEE-33 bus test system, involving four integrated microgrids, were performed to investigate the advantages and the robustness of the developed model. Furthermore, the impact of merging Battery Energy Storage Systems (BESSs) on the optimization outcome is examined, which demonstrates its significant effectiveness in improving the power systems' reliability.

Section: Wwwetasrcom Albaker: Reliability-based Optimal Integrated Mi...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reliability-Based Optimal Integrated Microgrid Scheduling in Distribution Systems

Albaker

2023

“…System reliability indices are important for system performance. The system reliability indices can be divided into two categories: interruption indices and energy-oriented indices [29,31]. Interruption indices are used to evaluate the average number of sustained interruptions noticed by a customer for long-term sustained interruptions.…”

Section: A Reliability Main Concepts and Indicesmentioning

confidence: 99%

Α Reliability Study of Renewable Energy Resources and their Integration with Utility Grids

Ghania

Mahmoud

Hashmi

2022

Reliability analysis is considered an impressive approach for investigating the planning and design processes of industrial and commercial electrical power distribution systems. Reliability analysis is mainly concerned with the analysis of devices and systems whose individual components are prone to failure risk. The demand for renewable energy resources that work in parallel or replace traditional energy resources is significantly increasing. The current research presents the reliability analysis of the IEEE 40-bus system integrated with large-scale PV and wind systems. Reliability parameters evaluation of power distribution systems will be performed using the zone branch methodology to divide the power system layout into several sections (protected zones). The compensating capacitors will be addressed to clarify their impacts on the system reliability indices. The 40-bus system, known as the IEEE Standard 493-1997, integrated with large-scale PV and wind is simulated using ETAP software. The simulation results reveal that the integration of renewable energy resources with the utility grids can improve the reliability indices. These simulation results are consistent with similar works found in literature and some standards in the field of reliability analysis. The integration of power distribution systems with renewable energy resources improves the reliability indices of the distribution grids.

“…Generation system reliability indices have been used as a standard for measuring system reliability in [7]. A model was proposed based on a convolutional algorithm that predicts how these indices vary as system annual peak increases.…”

Section: Imentioning

confidence: 99%

Evaluation Framework of the Deficit and Reliability Quality Measures of the Transmission System

Alshammari

Guesmi

et al. 2021

Self Cite

Power system planning faces various issues related to reliability and quality evaluation. The power system network planning is by nature a complex, huge-scale, and mixed-objective optimization problem, especially when concerning its non-linear behavior and the requirements of future unknown loads. In this regard, the electric power utilities attempt to maintain a balance between the generation energy, the transmission capacity, and the needed demand. The main purpose of the current paper is to utilize modern modeling techniques and computational procedures, including the advanced deficit transmission system evaluation method and sparse-matrix network analysis algorithms, in order to evaluate, with sufficient accuracy, the deficit and reliability levels in practical real-life large-scale power systems. The new evaluation methodology is based on three quantities representing the relationship between the generation push in the grid, the maximum limitation of the transmission capacity, and the needed load. The main contribution of the paper is assessing the deficit transmission system index with novel formulas.