Abstract
Power system transient stability can be effectively improved by applying shunt braking resistors. This paper proposes multi-objective heuristics-based optimization for shunt braking resistor sizing. The proposed approach addresses three objectives: transient angle stability, transient voltage response, and mechanical stress of the turbine-generator shaft. The optimization problem was solved using a Python implementation of the multi-objective evolutionary NSGA-II algorithm. Based on the optimization model, comprehensive tests for multimachine IEEE 39-bus power system including single- and multi-objective simulations were performed. Pareto sets for various sets of objectives are obtained and discussed. The results show the complexity of the shunt braking resistor optimization process. Optimization studies were complemented by simulation tests performed for assessing of the impact of optimal shunt braking resistor on power system dynamic response. Detailed discussion of test results has confirmed the correctness of the proposed approach.
Highlights
This paper aims at the comprehensive sizing of the shunt braking resistor (ShBR) for transient state improvement
To present the complexity of the ShBR optimization process more clearly, studies were conducted for the one, two- and three-objective approaches
The multivariate optimization analysis shows that the optimal ShBR value is mainly influenced by objectives related to transient stability and voltage dynamic response of the power system
Summary
A. MOTIVATION The power system is developed in such a way as to ensure its effective and secure operation. In some areas large amounts of electric energy are transmitted from power plants over long distances [1] or there are delays in the transmission network development process for reasons over which the investor has no control of [2]. More electricity generated from renewable energy sources exposes conventional power plants to increased stress during disturbances [3]. In such conditions, a severe disturbance like a fault near the power plant may lead to power system instability.
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