Abstract

This article presents a comparison of using techniques of optimal load flow and decision tree in making corrective voltage control actions for electrical power systems under insecure operation condition, that is, with voltage constraints violated. The decision tree technique is used in conjunction with a technique of sensitivity analysis in such a way that control actions are taken to be more effective to eliminate the voltage constraints violation in each case of contingency analyzed. A comparison is made between the control actions suggested by the optimal load flow strategy and those suggested by the decision tree for the same operating condition, discussing the achievement of implementing these actions in a real power system. The analysis methodology proposed here is tested in a real power system of a Brazilian utility, which operates in the State of Amapá - Brazil. The results showed how both methodologies can be used as operational tools in power system supervision and control centers.

Highlights

  • Electric Power Systems (EPS) are highly complex systems to operate mainly due to some aspects as the increasing power demand to be supplied with high power quality indicators; incorporation of massive distributed generation in the electric networks; and an increasingly participation of automation and data communication links to make the system more observable, controllable, secure, economic and efficient.Static Security Assessment (SSA) is a main function that continuously tracks the EPS steady-state operation points aiming at detecting insecure operation conditions in order to support the adoption of preventive and corrective management actions to maintain the EPS integrity and operating in a secure region

  • A comparison is made between the control actions suggested by the optimal load flow strategy and those suggested by the decision tree for the same operating condition, discussing the achievement of implementing these actions in a real power system

  • A comparative analysis of the corrective control actions suggested by the decision tree methodology and those obtained by the application of an Optimal Power Flow (OPF) procedure with objective function of voltage

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Summary

Introduction

Electric Power Systems (EPS) are highly complex systems to operate mainly due to some aspects as the increasing power demand to be supplied with high power quality indicators; incorporation of massive distributed generation in the electric networks; and an increasingly participation of automation and data communication links to make the system more observable, controllable, secure, economic and efficient.Static Security Assessment (SSA) is a main function that continuously tracks the EPS steady-state operation points aiming at detecting insecure operation conditions in order to support the adoption of preventive and corrective management actions to maintain the EPS integrity and operating in a secure region. In situations of insecure operation, the system operator must identify which control measures needs to be taken to bring the system back to a secure operation region. At this moment, the experience in system operation is considered fundamental, because only with previous knowledge of the system under analysis, the operator can know which control variables will most influence the system in the return to secure operating points [3]. The present work proposes to use a methodology based on Decision Trees (DTs) as presented in [4], as an auxiliary tool for the application of corrective control measures in the operation of a real electrical power system in situation of contingency and insecure operational state. A comparative analysis of the corrective control actions suggested by the decision tree methodology and those obtained by the application of an Optimal Power Flow (OPF) procedure with objective function of voltage

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