Intelligent Coordination Method of Multiple Distributed Resources for Harmonic Current Compensation in a Microgrid

Kang, Hyun-Koo; Yoo, Choel-Hee; Chung, Ilyong; Won, Dong-Jun; Moon, Seung-Il

doi:10.5370/jeet.2012.7.6.834

Cited by 17 publications

(7 citation statements)

References 23 publications

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“…As shown in Figure 5, the proposed algorithm is composed of two sub-modules: the first one is to estimate the fundamental component of the grid voltage and the second one is to measure the system frequency and the phase angle. For the measurement of the voltage magnitude, this paper proposes to use an adaptive parameter estimation algorithm that can effectively detect variations in the fundamental voltages from the measured phase voltages [12,13]. This method can be mathematically derived by a strictly positive real (SPR) Lyapunov method as follows [14]:…”

Section: Proposed Voltage Measurement Algorithmmentioning

confidence: 99%

A Grid Voltage Measurement Method for Wind Power Systems during Grid Fault Conditions

et al. 2014

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Grid codes in many countries require low-voltage ride-through (LVRT) capability to maintain power system stability and reliability during grid fault conditions. To meet the LVRT requirement, wind power systems must stay connected to the grid and also supply reactive currents to the grid to support the recovery from fault voltages. This paper presents a new fault detection method and inverter control scheme to improve the LVRT capability for full-scale permanent magnet synchronous generator (PMSG) wind power systems. Fast fault detection can help the wind power systems maintain the DC-link voltage in a safe region. The proposed fault detection method is based on on-line adaptive parameter estimation. The performance of the proposed method is verified in comparison to the conventional voltage measurement method defined in the IEC 61400-21 standard.

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Section: Proposed Voltage Measurement Algorithmmentioning

confidence: 99%

A Grid Voltage Measurement Method for Wind Power Systems during Grid Fault Conditions

et al. 2014

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“…Whenever the high power quality is required, the inverter topology with an output LC filter becomes the best alternative option for these applications. The most significant applications include stand-alone distributed generation systems, energy storage systems and UPSs (Cortes et al, 2009;Kang, Yoo, Chung, Won, & Moon, 2012;Lee, Lim, Ko, & Lee, 2008;Molina & Mercado, 2008;Zhang et al, 2013). In these applications, it is definitely desirable to obtain a sinusoidal waveforms and fast transient behaviour of the output voltage regardless of the load type.…”

Section: Introductionmentioning

confidence: 99%

Intelligent voltage control strategy for three-phase UPS inverters with output LC filter

Jung

Leu

Dang

et al. 2014

International Journal of Electronics

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This paper presents a supervisory fuzzy neural network control (SFNNC) method for a three-phase inverter of uninterruptible power supplies (UPSs). The proposed voltage controller is comprised of a fuzzy neural network control (FNNC) term and a supervisory control term. The FNNC term is deliberately employed to estimate the uncertain terms, and the supervisory control term is designed based on the sliding mode technique to stabilise the system dynamic errors. To improve the learning capability, the FNNC term incorporates an online parameter training methodology, using the gradient descent method and Lyapunov stability theory. Besides, a linear load current observer that estimates the load currents is used to exclude the load current sensors. The proposed SFNN controller and the observer are robust to the filter inductance variations, and their stability analyses are described in detail. The experimental results obtained on a prototype UPS test bed with a TMS320F28335 DSP are presented to validate the feasibility of the proposed scheme. Verification results demonstrate that the proposed control strategy can achieve smaller steady-state error and lower total harmonic distortion when subjected to nonlinear or unbalanced loads compared to the conventional sliding mode control method.

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“…For example, microgrids can supply ancillary services to power grids such as voltage support, harmonic compensation, and power reserve margin supplement [1][2][3][4]. In this sense, this paper focuses on the demand response (DR) program where microgrids can provide economic profits from the energy market.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Control of Battery Energy Storage for Multi-Agent Based Microgrid Energy Management

et al. 2013

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Microgrids can be considered as controllable units from the utility point of view because the entities of microgrids such as distributed energy resources and controllable loads can effectively control the amount of power consumption or generation. Therefore, microgrids can make various contracts with utility companies such as demand response program or ancillary services. Another advantage of microgrids is to integrate renewable energy resources to low-voltage distribution networks. Battery energy storage systems (BESSs) can effectively compensate the intermittent output of renewable energy resources. This paper presents intelligent control schemes for BESSs and autonomous energy management schemes of microgrids based on the concept of multi-agent systems. The proposed control scheme consists of two layers of decision-making procedures. In the bottom layer, intelligent agents decide the optimal operation strategies of individual microgrid entities such as BESSs, backup generators and loads. In the upper layer, the central microgrid coordinator (MGCC) coordinates multiple agents so that the overall microgrid can match the load reduction requested by the grid operator. The proposed control scheme is applied to Korea Power Exchange's Intelligent Demand Response Program.

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Intelligent Coordination Method of Multiple Distributed Resources for Harmonic Current Compensation in a Microgrid

Cited by 17 publications

References 23 publications

A Grid Voltage Measurement Method for Wind Power Systems during Grid Fault Conditions

A Grid Voltage Measurement Method for Wind Power Systems during Grid Fault Conditions

Intelligent voltage control strategy for three-phase UPS inverters with output LC filter

Intelligent Control of Battery Energy Storage for Multi-Agent Based Microgrid Energy Management

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