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Optimized PI controller for 7-level inverter to aid grid interactive RES controller

七级变频器的PI 控制器的优化以辅助电网交互式RES 控制器

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Abstract

With the huge rise of energy demand, the power system in the current era is moving to a new standard with increased access to renewable energy sources (RESs) integrated with distribution generation (DG) network. The RESs necessitate interfaces for controlling the power generation. The multilevel inverter (MLI) can be exploited for RESs in two diverse modes, namely, the power generation mode (stand-alone mode), and compensator mode (statcom). Few works have been carried out in optimization of controller gains with the load variations of the single type such as reactive load variation in different cases. Nevertheless, this load type may be unbalanced hence, to overcome such issues. So, a sophisticated optimization algorithm is important. This paper aims to introduce a control design via an optimization assisted PI controller for a 7-level inverter. In the present technique, the gains of the PI controller are adjusted dynamically by the adopted hybrid scheme, grey optimizer with dragon levy update (GD-LU), based on the operating conditions of the system. Here, the gains are adjusted such that the error between the reference signal and fault signal should be minimal. Thus, better dynamic performance could be attained by the present optimized PI controller. The proposed algorithm is the combined version of grey wolf optimization (GWO) and dragonfly algorithm (DA). Finally, the performance of the proposed work is compared and validated over other state-of-the-art models concerning error measures.

摘要

随着能源需求的巨大增长, 当前的电力系统急需适应新的要求, 能将再生能源接入电网从而整 合利用可再生能源。多级变频器(MLI)可在两种不同的模式下实现这个功能, 即发电模式(独立模式) 和补偿器模式(STATCOM)。目前, 对于不同工况的单一类型负荷的变化, 如无功负荷的变化, 优化控 制器增益的研究很少。这类负荷的稳定性不好的问题急需解决。因此, 一个适用的优化算法尤显重要。 本文介绍了一种基于优化辅助PI 控制器的七级变频器控制设计算法。在所提出的算法中, PI 控制器 的增益是根据系统的运行条件, 通过采用混合方案, 即龙形更新的灰色优化器(GD-LU), 对增益进行 动态调整, 使参考信号与故障信号之间的误差最小, 以便所提出的优化PI 控制器可以获得更好的动 态性能。提出的算法是灰狼优化(GWO)和蜻蜓算法(DA)的组合版本。最后, 对所提出算法的性能与其 他先进的模型就误差方面进行了比较和验证。

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Abbreviations

RES:

Renewable energy sources

GD-LU:

Grey optimizer with dragon levy update

DG:

Distribution generation

VSC:

Voltage source converter

GWO:

Grey wolf optimization

DA:

Dragon fly algorithm

DG:

Distributed generation

PQ:

Power-quality

PV:

Photo voltaic

APF:

Active power filters

KEPCO:

Korea electric power corporation

AFPI:

Adaptive fuzzy PI

GIC:

Grid-interactive converter

FLC:

Fuzzy logic control

NGS:

National grid system

APS:

Autonomous power system

rSOCs:

Reversible solid oxide cells

MPPT:

Maximum power point tracking

WECS:

Wind energy conversion system

MPC:

Model predictive control

MLIP:

Mixed linear integer programming

HRES:

Hybrid RES

BSS:

Battery storage system

SC:

Super-capacitor

GIS:

Gases insulation substation

PWM:

Pulse width modulation

PCU:

Power conditioning unit

EPLL:

Enhanced phase-locked loop

LPF:

Low pass filter

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  1. Noorul Islam Center for Higher Education, Kumaracoil, Thuckalai, Tamil Nadu, 629180, India

    K. S. Gayathri Devi & P. Sujatha Therese

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  1. K. S. Gayathri Devi
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GAYATHRI DEVI K S conceptualized and designed the study, reviewed identified articles to determine if they met defined study inclusion and exclusion criteria, critically reviewed the manuscript, and approved the final manuscript as submitted. SUJATHA THERESE P reviewed identified articles to determine if they met defined study inclusion and exclusion criteria, critically reviewed the manuscript, and approved the final manuscript as submitted. All authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.

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Correspondence to K. S. Gayathri Devi.

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Gayathri Devi, K.S., Sujatha Therese, P. Optimized PI controller for 7-level inverter to aid grid interactive RES controller. J. Cent. South Univ. 28, 153–167 (2021). https://doi.org/10.1007/s11771-021-4593-1

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