Reliability-Based Optimal Design of a Micro-Grid System Under Natural Disasters

Volume 13: Design, Reliability, Safety, and Risk ◽

10.1115/imece2018-88139 ◽

2018 ◽

Author(s):

Zhetao Chen ◽

Zhimin Xi

Keyword(s):

Optimal Design ◽

Natural Disasters ◽

Transmission Lines ◽

Optimal Allocation ◽

Uncertainty Propagation ◽

Flow Analysis ◽

Grid System ◽

Number Of Generators ◽

Random Failure ◽

Micro Grid

This paper proposes reliability-based optimal design of a micro-grid system under service disruptions due to natural disasters. The objective is to determine the minimum number of generators and their distributions in the micro-grid so that the system’s recoverability (or resilience) and operation efficiency can be guaranteed under random failure scenarios of the power transmission lines. Power flow analysis combing with the Monte Carlo simulation (MCS) are used for uncertainty propagation analysis to quantify the system’s recoverability distribution and the transmission efficiency distribution under random failure scenarios of the transmission lines. The optimal allocation of the generators is much more reliable compared to the deterministic solutions without considering various uncertainties in the system. The proposed work is demonstrated through a 12-bus power system.

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A Study on an Out-of-Step Detection Algorithm Using the Time Variation of Complex Power: Part I, Mathematical Modeling

Energies ◽

10.3390/en13164065 ◽

2020 ◽

Vol 13 (16) ◽

pp. 4065

Author(s):

You-Jin Lee ◽

Jeong-Yong Heo ◽

O-Sang Kwon ◽

Chul-Hwan Kim

Keyword(s):

Transmission Lines ◽

Smart Grids ◽

Detection Algorithm ◽

Grid System ◽

Step Detection ◽

Power Swing ◽

Complex Power ◽

Power Part ◽

Micro Grid ◽

The Stability

Power quality and stability have become the most important issues in power system operations, Micro Grids, and Smart Grids. Sensitive equipment can be seriously damaged when exposed to unstable power swing conditions. An unstable system may cause serious damage to Micro Grid System elements such as generators, transformers, transmission lines, and so forth. Therefore, out-of-step detection is essential for the safe operation of a Micro Grid system. In general, Equal Area Criterion (EAC) is a method for evaluating the stability of Smart Grid systems. However, EAC can be performed only if it is possible to analyze the active power and generator angle. This paper presents an analysis of the trajectory of complex power using a mathematical model. The variation of complex power is analyzed using a mathematical method, and then the relationship between complex power and EAC is presented, and a simulation performed. Later, in part II, a novel out-of-step detection algorithm based on part I will be presented and tested.

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