A novel severity performance index for optimal allocation and sizing of photovoltaic distributed generations

• Published in: Energy reports Vol. 6; pp. 2180 - 2190
• Main Authors: Farh, Hassan M.H., Al-Shaalan, Abdullah M., Eltamaly, Ali M., Al-Shamma’a, Abdullrahman A.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.11.2020; Elsevier
• Subjects: Allocation and sizing; Crow search integrated with PSO; Distributed generations; Multi-objective function; Severity performance index; Multi-objective function; Distributed generations; Allocation and sizing; Severity performance index; Crow search integrated with PSO
• ISSN: 2352-4847; 2352-4847
• DOI: 10.1016/j.egyr.2020.07.016

Optimal allocation and sizing of the distributed generations (DGs) attract great attention of many researchers all over the world. In this study, the problems associated to optimal DGs allocation and sizing are divided into two sub-problems. One of them deals with the DGs allocation at the critical buses and the other aims to select the optimal size of these DGs. A novel severity performance index (SPI) is introduced to evaluate both the power system reliability and quality. The crow search (CS) is integrated with PSO not only to collect the merits of both CS and PSO but also to solve the optimal power flow problem including multi-DGs allocated at the critical buses for the IEEE 30-bus test system. Detailed comparisons of four distinct DGs allocation cases are presented, discussed, and analyzed. The simulation findings proved that the DGs allocated based on the multi-objectives (SPI, total fuel costs; FC; and power losses; PL) have a superior performance compared to other cases in terms of voltage profile, branches loading, power losses, and total costs. Therefore, the multi DGs is preferred to be allocated based on these multi-objectives (SPI, FC, and PL) in order to attain additional techno-economic benefits to the power system. •A novel SPI is proposed to evaluate both the reliability and quality of power system.•Four distinct DGs allocation cases are presented, discussed, and analyzed.•The OPF problem with DGs is solved using crow search integrated with PSO technique.•The optimal DGs sizing is specified based on a techno-economic multi-objectives.•The DGs penetration based on SPI, FC, and PL outperformed other cases in some terms.