Study on Power Quality Control in Multiple Renewable Energy Hybrid MicroGrid System

Li, Xiangjun; Song, Yujin; Han, Soo-Bin

doi:10.1109/pct.2007.4538625

Cited by 51 publications

(29 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to data in [21], [32] and [33], system parameters are given in Table 1. We assume that these parameters are valid for one hour only.…”

Section: Simulation Results Under the Proposed Controllermentioning

confidence: 99%

“…As is shown in Figure 8, the power generation by PV units and WTGs, as well as the power consumption of loads in the studied EI system, are assumed to be random in the investigated time period, simulated by forecasted models in [32]. Table 1.…”

Section: Simulation Results Under the Proposed Controllermentioning

confidence: 99%

“…In this paper, Δ and Δ are approximated by a first order transfer function [32], as is shown in Equations (4) and (5):…”

Section: Linearized Block Diagrammentioning

confidence: 99%

See 2 more Smart Citations

A Class of Control Strategies for Energy Internet Considering System Robustness and Operation Cost Optimization

Hao

Qin

et al. 2018

Energies

View full text Add to dashboard Cite

Aiming at restructuring the conventional energy delivery infrastructure, the concept of energy Internet (EI) has become popular in recent years. Outstanding benefits from an EI include openness, robustness and reliability. Most of the existing literatures focus on the conceptual design of EI and are lack of theoretical investigation on developing specific control strategies for the operation of EI. In this paper, a class of control strategies for EI considering system robustness and operation cost optimization is investigated. Focusing on the EI system robustness issue, system parameter uncertainty, external disturbance and tracking error are taken into consideration, and we formulate such robust control issue as a structure specified mixed H 2 /H ∞ control problem. When formulating the operation cost optimization problem, three aspects are considered: realizing the bottom-up energy management principle, reducing the cost involved by power delivery from power grid (PG) to microgrid (MG), and avoiding the situation of over-control. We highlight that this is the very first time that the above targets are considered simultaneously in the field of EI. The integrated control issue is considered in frequency domain and is solved by a particle swarm optimization (PSO) algorithm. Simulation results show that our proposed method achieves the targets.

show abstract

“…According to data in [21], [32] and [33], system parameters are given in Table 1. We assume that these parameters are valid for one hour only.…”

Section: Simulation Results Under the Proposed Controllermentioning

confidence: 99%

Section: Simulation Results Under the Proposed Controllermentioning

confidence: 99%

See 1 more Smart Citation

A Class of Control Strategies for Energy Internet Considering System Robustness and Operation Cost Optimization

Hao

Qin

et al. 2018

Energies

View full text Add to dashboard Cite

show abstract

“…A single energy storage device cannot satisfy these requirements. Therefore, a composite energy storage system is necessary [7,8]. In this paper, solid oxide fuel cells (SOFCs) are used to supply the basic load to deal with the discontinuous and intermittent wind power fluctuations.…”

Section: Open Accessmentioning

confidence: 99%

“…As shown in [7,8], the wind power fluctuation is derived from white noise, and a low-pass filter is used to eliminate components that are higher than 10,000 s. Then, the fluctuation is multiplied by the standard deviation to determine the output fluctuation. On the other hand, the load fluctuation is generated similarly.…”

Section: Wind Power and Load Modelsmentioning

confidence: 99%

Application of Coordinated SOFC and SMES Robust Control for Stabilizing Tie-Line Power

Zhang

et al. 2013

Energies

View full text Add to dashboard Cite

Wind power causes fluctuations in power systems and introduces issues concerning system stability and power quality because of the lack of controllability of its discontinuous and intermittent resources. This paper presents a coordinated control strategy for solid oxide fuel cells (SOFCs) and superconducting magnetic energy storage (SMES) to match the intermittent wind power generation and compensate for the rapid load changes. An optimal H∞ control method, where the weighting function selection is expressed as an optimization problem, is proposed to mitigate tie-line power fluctuations and the mixed-sensitivity approach is used to deal with the interference suppression. Simulation results show that the proposed method significantly improves the smoothing effect of wind power fluctuations. Compared with the conventional control method, the proposed method has better anti-interference performance in various operating situations.

show abstract

Power Quality Issues in Microgrid and its Solutions

Zahira

Lakshmi

Ravi

2021

Microgrid Technologies

View full text Add to dashboard Cite

Study on Power Quality Control in Multiple Renewable Energy Hybrid MicroGrid System

Cited by 51 publications

References 3 publications

A Class of Control Strategies for Energy Internet Considering System Robustness and Operation Cost Optimization

A Class of Control Strategies for Energy Internet Considering System Robustness and Operation Cost Optimization

Application of Coordinated SOFC and SMES Robust Control for Stabilizing Tie-Line Power

Power Quality Issues in Microgrid and its Solutions

Contact Info

Product

Resources

About