Alex N. Mabalot

Bio: Alex N. Mabalot is an academic researcher from Mapúa Institute of Technology. The author has contributed to research in topics: AC power & Power-flow study. The author has an hindex of 1, co-authored 1 publications receiving 10 citations.

Algorithm development for Power System Contingency screening and ranking using Voltage-Reactive Power Performance Index

Abstract: Contingency Analysis is an analysis of a power system to determine the severity of an outage to the whole system. In this paper, the researchers made a MATLAB program that screened and ranked all the n-2 and n-1 contingencies present in IEEE 14-Bus System. Over all, IEEE 14-Bus system has 5 generators and 20 transmission lines comprising of 325 possible outage cases. The researchers used Fast Decoupled Load Flow method for the load flow analysis of the system for each outage case since it is more simplified than other methods. Also, to determine the severity of each outage cases, the researchers used Performance Indices specifically the Voltage-Reactive Performance index as an indicator whether the outage happened is critical or not. With this MATLAB program, power system operator can easily determine the severity of the outage of a given power system and what action must be done.

Contingency Ranking for Security Analysis of Power System Network with Incorporation of STATCOM

Abstract: As world is approaching towards the deregulated power system so daily load demand is increasing in unexpected way Voltage instability will occurs due to increment in load or with highly loaded system Security analysis of power system becomes the more imperative aspect to secure the system with concealed contingency So contingency ranking becomes the important procedure to rank the most severe line by evaluating the overall performance index (OPI) By incorporation of STATCOM in the system OPI value observed to reduce which may change the ranking of contingency but line becomes more severe This paper discusses about the severity of line by ranking the contingency with and without STATCOM Newton Raphson load flow analysis is perform to evaluate the voltage and active power performance index IEEE 24 bus system (RTS-79) is used for the testing of security by ranking the most severe lines using MATLAB

Evaluation of Performance Index Methodology for Power Network Contingency Ranking

Abstract: Line outage contingency ranking and analyses using various Performance Index (PI) approaches are investigated in this study. Independent contingency rankings based on voltage, real power, reactive power, voltage fused with reactive power and real power amalgamated with voltage fused reactive power PI are the ranking methods used. Analyses of most severe contingencies resulting from different ranking methods are carried out and the behavioural patterns of the affected transmission lines investigated and validated. Newton Raphson power flow equations developed in Matlab environment are used for these analyses while IEEE 30 bus network is the test system. Line 28–27 outage which is the most severe contingency based on voltage PI ranking resulted into both line overloads and bus voltage limits violations, while outage of line 2–5 which is the most severe contingency consequent of real power PI ranking only resulted into line thermal limits violations.

Contingency Analysis of Complex Power System Using Active Power and Voltage Performance Index

Abstract: Power system security is one of the major parts of the electrical system. A power system should be robust enough to detect any kind of disturbance that can occur in the network and analyze its impact on the system. Disturbance in the power system network includes any kind of faults related to the generator, load, and transmission line. Due to the complex nature of the power system network, to protect the power system against any kind of outages, contingency analysis is used. In steady-state conditions, to evaluate the security of system contingency analysis solution is required. It includes the analysis of a system during outages or failure of equipment. Outages in a power system network can take place either due to maloperation of any internal component or due to natural calamities like lightning, tree fall, storm, and bad weather or it can also occur due to overloading of transmission lines, generators, etc. To effectively analyze the impact of individual contingencies on the power system network, performance indices or severity indices are used to rank the contingencies based on their severity. The performance index is the sum of the two indexes named as active power performance index and voltage performance index. In this paper, the researcher made a MATLAB program is utilized that screened on two standard benchmark test systems IEEE-5 and IEEE 15 bus system. The researcher used the fast decoupled load flow method for the load flow analysis of the system considering all possible existing line outages in the system. This contingency analysis will help the system engineer to evaluate the power system network’s operating condition when a line outage will occur and tell him what essential steps should be adopted to nullify the consequences of a particular line outage.

On-Line Contingency Assessment Using Short-Term Load Forecasting

Abstract: To improve decision-making during contingencies in power systems and reduce the impact while a failure is repaired, it is necessary to know the consequences oflosing different elements of the system. These consequences need to consider the current system conditions and the short-term forecasting of the demand. Hence, this work proposes a procedure to run N-1 contingencies by using load forecasting obtained from historical records. This allows to know the assets in the system that present overloads or voltages outside of the security limits and can affect the security operation of system in a horizon of 24 h. To validate the procedure, the IEEE transmission system of 39 buses was used. To forecast the load, a script in Python using historical load profiles was implemented. To generate the list of assets with violations during contingencies, the pandapower module of Python was used in order to run the load flow. As a result, a list of affected assets was obtained per each hour of the day when lines and transformers were disconnected.