A Novel Methodology for Optimal SVC Location Considering N-1 Contingencies and Reactive Power Flows Reconfiguration

Abstract

In this research, an alternative methodology is proposed for the location of Static VAR Compensators (SVC) in power systems, considering the reconfiguration of reactive power flows through the optimal switching of the transmission stage, which resembles the contingency restriction N-1 usually considered in transmission expansion planning. Based on this methodology, the contingency index was determined, which made it possible to determine which is the contingency that generates the greatest voltage degradation in the system. For the quantification of reactive flows, optimal AC power flows were used, which minimize the operating costs of the power system subject to transmission line switching restrictions, line charge-ability, voltages and node angles. To determine the node in which the compensation should be placed, the contingency index criterion was used, verifying the voltage profile in the nodes. The proposed methodology was tested in the IEEE test systems of 9, 14 nodes and large-scale systems of 200, 500 and 2000 bus-bars; to verify that the proposed methodology is adequate, the stability of the EPS was verified. Finally, the model allows satisfactorily to determine the node in which the SVC is implemented and its compensation value.

Particle Swarm Optimization for Optimal Frequency Response with High Penetration of Photovoltaic and Wind Generation

“…The results reveal that the incorporation of the renewables at the optimum allocation leads to a higher time to clear the fault before system collapse in comparison to the base scenario. From the point of view of relay coordination, this is beneficial, as the set point will be able to increase system load to the line without experiencing system instability in case a three-phase fault occurs [47]. To demonstrate an application of the proposed approach, Figure 9 shows the CCT at the base and optimum scenarios, when a three-phase fault occurs at 10% of any line within the power system.…”

Location of distributed resources in rural-urban marginal power grids considering the voltage collapse prediction index

“…For this purpose, the contingency ranking index is used to determine the degree of contingency affectation, thus obtaining information that will help plan the expansion and improvement of the EPS. On the other hand, different indexes have been proposed to identify voltage, angle, frequency, chargeability, and load fluctuation failures [26][27][28][29].…”

“…Suggested citation: Lemus, A.; Carrión, D.; Aguirre, E. and González, J. W. "Location of distributed resources in rural-urban marginal power grids considering the voltage collapse prediction index," Ingenius, Revista de Ciencia y Tecnología, N. • 28, pp. [25][26][27][28][29][30][31][32][33]2022, doi: https://doi.org/10.17163/ings.n28.2022.02.…”

Allocation of 0.4 kV PTL Sectionalizing Units under Criteria of Sensitivity Limits and Power Supply Reliability

“…Study [26] presents a methodology for the allocation of distributed generators and reclosers in a security-constrained distribution network through analyzing reliability indices SAIFI, SAIDI, and MAIFI and power flow equations. It should be noted that power flow analysis is a powerful tool to assess PS reliability [27] in order to solve such tasks as optimal network configuration [28,29] and PS restoration process [30].…”