Optimal Placement of Distributed Generators in Power System Using Sensitivity Analysis

2021 ◽  
pp. 749-759
Author(s):  
Anoop Arya ◽  
Swatantra Singh Verma ◽  
Shweta Mehroliya ◽  
Shilpi Tomar ◽  
C. S. Rajeshwari
Keyword(s):  
Sensitivity Analysis ◽  
Power System ◽  
Optimal Placement ◽  
Distributed Generators

scholarly journals Optimal Placement and Sizing of an Energy Storage System Using a Power Sensitivity Analysis in a Practical Stand-Alone Microgrid

Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1598
Author(s):  
Dongmin Kim ◽  
Kipo Yoon ◽  
Soo Hyoung Lee ◽  
Jung-Wook Park
Keyword(s):  
Sensitivity Analysis ◽  
Energy Storage ◽  
Power System ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Storage System ◽  
Optimization Techniques ◽  
Optimal Placement ◽  
Stable Operation ◽  
Analytical Approaches

The energy storage system (ESS) is developing into a very important element for the stable operation of power systems. An ESS is characterized by rapid control, free charging, and discharging. Because of these characteristics, it can efficiently respond to sudden events that affect the power system and can help to resolve congested lines caused by the excessive output of distributed generators (DGs) using renewable energy sources (RESs). In order to efficiently and economically install new ESSs in the power system, the following two factors must be considered: the optimal installation placements and the optimal sizes of ESSs. Many studies have explored the optimal installation placement and the sizing of ESSs by using analytical approaches, mathematical optimization techniques, and artificial intelligence. This paper presents an algorithm to determine the optimal installation placement and sizing of ESSs for a virtual multi-slack (VMS) operation based on a power sensitivity analysis in a stand-alone microgrid. Through the proposed algorithm, the optimal installation placement can be determined by a simple calculation based on a power sensitivity matrix, and the optimal sizing of the ESS for the determined placement can be obtained at the same time. The algorithm is verified through several case studies in a stand-alone microgrid based on practical power system data. The results of the proposed algorithm show that installing ESSs in the optimal placement could improve the voltage stability of the microgrid. The sizing of the newly installed ESS was also properly determined.

Reliability Constrained Optimal Design of Distributed Generators in Power System Under Load and Wind Turbine Generation Uncertainty

2021 ◽  
Author(s):  
Zhetao Chen ◽  
Zhimin Xi
Keyword(s):  
Power Systems ◽  
Power System ◽  
System Reliability ◽  
High Reliability ◽  
Optimal Placement ◽  
Binary Particle Swarm Optimization ◽  
Power System Reliability ◽  
Analysis And Design ◽  
Distributed Generators ◽  
Eigenvector Dimension Reduction

Abstract Power systems are designed to meet power demands of the communities with high reliability. Distributed generators (DGs) could play an essential role in improving the power system reliability and resilience. To date, influence of the uncertainty of the DGs to power system reliability has not been well addressed. Consequently, placement of the DGs considering reliability constraints may not be optimally conducted. This paper proposes reliability analysis and design of power systems under time-dependent load uncertainty and wind power generation uncertainty using an efficient uncertainty quantification (UQ) method, i.e., the eigenvector dimension reduction (EDR) method. Furthermore, binary particle swarm optimization (B-PSO) is proposed to address the optimal placement of DGs considering the reliability constraint. Two case studies, including an IEEE 14-bus power system and an IEEE 57-bus power system, are used to demonstrate the effectiveness of the proposed methodology.

scholarly journals Towards automated engineering and validation of cyber-physical energy systems

2019 ◽  
Vol 2 (S1) ◽  
Author(s):  
Filip Pröstl Andrén ◽  
Thomas I. Strasser ◽  
Jürgen Resch ◽  
Bernhard Schuiki ◽  
Sebastian Schöndorfer ◽  
...  
Keyword(s):  
Smart Grid ◽  
Power System ◽  
Electric Power System ◽  
Paradigm Change ◽  
Engineering Process ◽  
Distributed Generators ◽  
Physical Energy ◽  
Engineering Costs ◽  
Information And Communication ◽  
Grid Applications

Abstract The massive deployment of distributed generators from renewable sources in recent years has led to a fundamental paradigm change in terms of planning and operation of the electric power system. The usage of advanced automation and information and communication technology is a key element to handle these new challenges and to turn the traditional power system into a smart grid. The implementation of such complex systems solutions is associated with increasing development complexity resulting in increased engineering costs. The traditional engineering methods used for power system automation were not intended to be used for applications of this scale and complexity. However, the usage of proper methods, automation architectures, and corresponding tools holds huge optimization potential for the engineering process. Therefore, this work presents a model-based engineering and validation support system, covering the overall engineering process for smart grid applications.

Sign in / Sign up

Export Citation Format

Share Document