国際会議報告 IEEE-Power Engineering Society Winter Meeting

A review on indirect type solar dryers for agricultural crops – Dryer setup, its performance, energy storage and important highlights

In recent years, due to the wide utilization of direct current (DC) power sources, such as solar photovoltaic (PV), fuel cells, different DC loads, high-level integration of different energy storage systems such as batteries, supercapacitors, DC microgrids have been gaining more importance. Furthermore, unlike conventional AC systems, DC microgrids do not have issues such as synchronization, harmonics, reactive power control, and frequency control. However, the incorporation of different distributed generators, such as PV, wind, fuel cell, loads, and energy storage devices in the common DC bus complicates the control of DC bus voltage as well as the power-sharing. In order to ensure the secure and safe operation of DC microgrids, different control techniques, such as centralized, decentralized, distributed, multilevel, and hierarchical control, are presented. The optimal planning of DC microgrids has an impact on operation and control algorithms; thus, coordination among them is required. A detailed review of the planning, operation, and control of DC microgrids is missing in the existing literature. Thus, this article documents developments in the planning, operation, and control of DC microgrids covered in research in the past 15 years. DC microgrid planning, operation, and control challenges and opportunities are discussed. Different planning, control, and operation methods are well documented with their advantages and disadvantages to provide an excellent foundation for industry personnel and researchers. Power-sharing and energy management operation, control, and planning issues are summarized for both grid-connected and islanded DC microgrids. Also, key research areas in DC microgrid planning, operation, and control are identified to adopt cutting-edge technologies. This review explicitly helps readers understand existing developments on DC microgrid planning, operation, and control as well as identify the need for additional research in order to further contribute to the topic.

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DC Microgrid Planning, Operation, and Control: A Comprehensive Review

Energy and exergy analyses of drying medicinal herb in a novel forced convection solar dryer integrated with SHSM and PCM

The electrical power system has experienced several changes during the last decade, raised by continuously increasing load demand, rapid depletion in fossil fuels, and newly electrical deregulation policy. In the past, numerous review literatures has been published in the field of Load Frequency Control (LFC), which deals with different and recent control strategies for the successful operation of the power system. Moreover, due to changes in lifestyle, increasing load demand, expansion of industrialization, and environmental issues, Renewable Energy Sources (RES) integration becomes the obvious adaptive choice. Since generation from RES is stochastic in nature and depends upon the weather condition and other aspects at every instant of time. Therefore, high penetration may reflect specific issues regarding voltage instability, frequency stabilization, and reliability obstruction. Hence this issue has been covered effectively in this review work. Furthermore, the work precisely summarized and briefly explained the different scenarios of Energy Storage (ES), micro-grid and Flexible AC Transmission System (FACTS) to explore the possible solutions and future aspects. The merit and demerit of different controllers are also investigated with the help of a comparison's tables and also some other analytical comparisons. The overall study examines an in-depth review of recent technical core aspects for LFC based on classical and modern power system which involves the non-linear model, controller design parameters, soft-computing application, attributes of Load forecasting, as well as integration of RES in a deregulated environment. This effective, comprehensive literature survey is very helpful for researchers to bridge the gap between recent development, implementation, challenges and future trends of RES in LFC. 

A literature survey on load frequency control considering renewable energy integration in power system: Recent trends and future prospects

Power management and control of a grid-independent DC microgrid with hybrid energy storage system

In this article, an experimental comparison between open sun and solar drying is done. The thermal performance of evacuated tube based solar dryer is investigated with drying characteristics of Phy...

Experimental comparison of open sun drying and solar drying based on evacuated tube collector

In this paper, a novel Hybrid Bat Search and Artificial Neural Network (HBSANN) based power management strategy (PMS) is proposed for control of DC microgrids with hybrid energy storage systems (HESS). The proposed control strategy aims to improve the power-sharing among batteries and supercapacitor (SC) to address the demand-generation disparity, maintain state-of-charge (SOC) within boundaries in addition to regulation of dc bus voltage. A low voltage DC (LVDC) microgrid incorporating a photovoltaic system, HESS composed of a battery and SC, DC load, and AC load has been considered. The proposed strategy results in improved battery life due to the transfer of unwaged battery currents with high-frequency components to the supercapacitor. In addition, total harmonic distortion (THD) of the AC output voltage is also analyzed. Furthermore, the effectiveness of the proposed strategy in comparison with recent conventional control strategy based results for performance in terms of voltage overshoot and settling time. Experimental investigations using hardware-in-loop (HIL) setup on an FPGA based real-time simulator validates the results.

Dynamic power management and control for low voltage DC microgrid with hybrid energy storage system using hybrid bat search algorithm and artificial neural network

In this paper, the performance of a DC microgrid has been examined among photovoltaics modules, loads and hybrid energy storage system (HESS). The primary goal of this article is to construct and v...

Artificial neural network-based dynamic power management of a DC microgrid: a hardware-in-loop real-time verification

To cope with uncertainties and intermittent nature of renewable energy resources (RER) such as wind energy and PV needed energy storage systems with higher reliable and robust control techniques. Because of the variable characters of RER to maintain the power demand and generation, voltage stability and also increase the energy storage system lifetime is a challenging task. Therefore, in this paper, a combined PI and sliding mode control technique (CPISMC) is proposed to improve the current sharing between battery and supercapacitor to suit the demand- generation disparity, maintain SOC within boundaries and thereby to regulate the dc bus voltage. The key benefits are that, in the proposed strategy, unwaged battery currents are redirected to the supercapacitor forward with high-frequency current elements resulting in improved battery life. The effectiveness of the proposed control strategy has been investigated through simulations including comparison with conventional control strategy. The advantage of the proposed control strategy over existing conventional control strategy are better dc bus voltage regulation, improved current-sharing among HESS and improved battery life. The results have been experimentally validated through hardware-in -loop (HIL) on FPGA-based real-time simulator.

Prashant Singh

Papers

Power management and control of a grid-independent DC microgrid with hybrid energy storage system

Experimental comparison of open sun drying and solar drying based on evacuated tube collector

Dynamic power management and control for low voltage DC microgrid with hybrid energy storage system using hybrid bat search algorithm and artificial neural network

Artificial neural network-based dynamic power management of a DC microgrid: a hardware-in-loop real-time verification

Dynamic current sharing, voltage and SOC regulation for HESS based DC microgrid using CPISMC technique