Flexible Voltage Control Strategy Considering Distributed Energy Storages for DC Distribution Network

The rising cost of fossil fuels, their high depleting rate and issues regarding environmental pollution have brought the attention of the researchers towards renewable energy technologies. Different renewable energy resources like wind turbines, fuel cells and solar cells are connected to DC micro grid through controllable power electronic converters. In presence of these diverse generation units, robust controllers are required to ensure good power quality and to regulate grid voltage. This paper presents a sliding mode control based methodology to address the above mentioned challenges. The proposed technique keeps the switching frequency constant so that electromagnetic compatibility (EMC) issues can be solved with conventional filter design. Parallel operation of converter in DC micro gird is considered. Chattering reduction and power quality improvement by harmonic cancellation is proposed. A scaled down hardware for unregulated 11.5 V to 17.5 V input and 24V output is designed and tested.The experimental results show good performance of the controller under different loads and uncertain input voltage conditions. Moreover, the results show the robustness of the closed loop system to sudden variations in load conditions. Furthermore, a significant improvement in power quality is achieved by harmonic cancellation of chattering in the output of the converters.

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“…The time domain solution of (16) ensures that e i (t) → 0 and V out → V d . Substituting these values in (14) and (15) we get:…”

Section: Controller Designmentioning

confidence: 99%

Fixed frequency sliding mode control of renewable energy resources in DC micro grid

Yasin

Ashraf

Bhatti

et al. 2019

Asian Journal of Control

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“…Both energy producers and consumers will participate in market competition [44]. Equipment, energy, and services can be traded freely, and the role of the market in energy production and consumption will become more prominent [45].…”

Section: Line Loss Reductionmentioning

confidence: 99%

A Calculation Model for CO2 Emission Reduction of Energy Internet: A Case Study of Yanqing

Yang

Zhang

2019

Sustainability

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This paper takes the regional energy internet as the research object, and combines the power system, primary energy system, transportation system, and thermal energy system to give the system boundary. First, the mathematical decomposition method and the logical integration method were combined to decompose the total low-carbon capability into seven single low-carbon capabilities. On the basis of the mechanism of carbon emission reduction, a comprehensive calculation model for CO2 emissions reduction of the energy internet was then established. Finally, taking the Yanqing Energy Internet Demonstration Zone in China as an example, it was calculated that the model could reduce CO2 emissions by 14,093.19 tons in 2025. The results show that the methods adopted in this paper avoided the overlap calculation reasonably well; the comprehensive calculation model of CO2 emissions reduction has strong versatility, and can quantitatively calculate the carbon emission reduction amount for any completed or planned energy internet. Among the seven low-carbon capabilities, “replacement of gasoline with electricity” had the highest contribution rate, with a value of 42.62%, followed by “renewable energy substitution” (37.13%). The innovations in this paper include: (1) The problem of reasonable splitting of the overlapping parts in carbon emission reduction calculations being solved. (2) The first comprehensive calculation model of CO2 emission reduction on the energy internet being established. (3) The contribution of the seven low-carbon capabilities of the energy internet to total emissions reduction being clarified.

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“…[14] presents the results of a process for determining battery charging efficiency. It is to be noted that the distributed energy storage (DES) units able to enhance the voltage stability and robustness of DC distribution networks using flexible voltage control [15]. [16] proposed the coordinated control strategy to ensure a good performance of the frequency support under the wind variation and the state of charge (SoC) changing.…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Analysis of Energy Storage With Renewable and Diesel Generation Using Volterra Equations

Sidorov

Muftahov

Tomin

et al. 2020

IEEE Trans. Ind. Inf.

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Energy storage systems will play a key role in the power system of the twenty first century considering the large penetrations of variable renewable energy, growth in transport electrification and decentralisation of heating loads. Therefore reliable real time methods to optimise energy storage, demand response and generation are vital for power system operations. This paper presents a concise review of battery energy storage and an example of battery modelling for renewable energy applications and second details an adaptive approach to solve this load levelling problem with storage. A dynamic evolutionary model based on the first kind Volterra integral equation is used in both cases. A direct regularised numerical method is employed to find the least-cost dispatch of the battery in terms of integral equation solution. Validation on real data shows that the proposed evolutionary Volterra model effectively generalises conventional discrete integral model taking into account both state of health and the availability of generation/storage.

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Flexible Voltage Control Strategy Considering Distributed Energy Storages for DC Distribution Network

Cited by 123 publications

References 27 publications

Fixed frequency sliding mode control of renewable energy resources in DC micro grid

Fixed frequency sliding mode control of renewable energy resources in DC micro grid

A Calculation Model for CO2 Emission Reduction of Energy Internet: A Case Study of Yanqing

A Dynamic Analysis of Energy Storage With Renewable and Diesel Generation Using Volterra Equations

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