Energy Management System for Stand-Alone Wind-Powered-Desalination Microgrid

Guo, Li; Wenjian, Liu; Li, Xialin; Liu, Yixin; Jiao, Bin; Wang, Wei; Wang, Chengshan; Li, Fangxing

doi:10.1109/tsg.2014.2377374

Cited by 63 publications

(57 citation statements)

References 17 publications

(17 reference statements)

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“…In most cases, ESSs maintain the power balance between generation and consumption by storing power during inexpensive or off-peak hours and discharging it during high-price or peak hours [22]. Diverse studies have been focused on the utilization of ESSs in a microgrid [23]. Utilizing ANN (Artificial neural network) for prediction of wind power generation, multi-objective energy management of microgrid considering uncertainties of wind generation in presence of ESS is studied in [24].…”

Section: Category 2: Ess-based Emsmentioning

confidence: 99%

A Survey on Microgrid Energy Management Considering Flexible Energy Sources

et al. 2019

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Aggregation of distributed generations (DGs) along with energy storage systems (ESSs) and controllable loads near power consumers has led to the concept of microgrids. However, the uncertain nature of renewable energy sources such as wind and photovoltaic generations, market prices and loads has led to difficulties in ensuring power quality and in balancing generation and consumption. To tackle these problems, microgrids should be managed by an energy management system (EMS) that facilitates the minimization of operational costs, emissions and peak loads while satisfying the microgrid technical constraints. Over the past years, microgrids' EMS have been studied from different perspectives and have recently attracted considerable attention of researchers. To this end, in this paper a classification and a survey of EMSs has been carried out from a new point of view. EMSs have been classified into four categories based on the kind of the reserve system being used, including non-renewable, ESS, demand-side management (DSM) and hybrid systems. Moreover, using recent literature, EMSs have been reviewed in terms of uncertainty modeling techniques, objective functions (OFs) and constraints, optimization techniques, and simulation and experimental results presented in the literature.

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Section: Category 2: Ess-based Emsmentioning

confidence: 99%

A Survey on Microgrid Energy Management Considering Flexible Energy Sources

et al. 2019

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“…The BESS current reference in the d-q frame can be directly acquired by the power reference, which has been provided in Equation (1). The other equilibrium points of the system can be obtained by:…”

Section: Battery Energy Storage System Modelingmentioning

confidence: 99%

“…The installation of a battery energy storage system (BESS) in a microgrid (MG) provides a variety of MG services such as compensating for fluctuations in renewable power generation sources, voltage support, and frequency regulation [1][2][3][4][5]. The control strategy of the BESS converter plays a major role in the performance of a BESS.…”

Section: Introductionmentioning

confidence: 99%

An Energy-Based Control Strategy for Battery Energy Storage Systems: A Case Study on Microgrid Applications

et al. 2017

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Battery energy storage systems (BESSs) with proportional-integral (PI) control methods have been widely studied in microgrids (MGs). However, the performance of PI control methods might be unsatisfactory for BESSs due to the nonlinear characteristics of the system. To overcome this problem, an energy-based (EB) control method is applied to control the converter of a BESS in this study. The EB method is a robust nonlinear control method based on passivity theory with good performance in both transient and steady states. The detailed design process of the EB method in the BESS by adopting an interconnection and damping assignment (IDA) strategy is described. The design process comprises three steps: the construction of the port-controlled Hamiltonian model, the determination of the equilibrium point and the solution of the undetermined matrix. In addition, integral action is combined to eliminate the steady state error generated by the model mismatch. To establish the correctness and validity of the proposed method, we implement several case simulation studies based on a test MG system and compare the control performance of the EB and PI methods carefully. The case simulation results demonstrate that the EB method has better tracking and anti-disturbance performance compared with the classic PI method. Moreover, the proposed EB method shows stronger robustness to the uncertainty of system parameters.

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“…Using a slow-speed PMSG (with a direct drive) leads to the elimination of these faults [6,11]. The solution proposed in this article optimizing the work of two different current sources (SG and DG) may possibly also be used on land in so-called stand-alone hybrid electric grids, which assume parallel operation of DGs and WGs (wind generators) [12][13][14][15][16][17][18][19][20][21]. This article refers to the power system of a ship grid, in which the SG uses a PMSG.…”

Section: Introductionmentioning

confidence: 99%

Optimization to Limit the Effects of Underloaded Generator Sets in Stand-Alone Hybrid Ship Grids

et al. 2020

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For the safety of the supply, diesel generator (DG) sets are used in various stand-alone power systems using variable-speed generators. The stand-alone hybrid grid system presented in this article, with a wind generator and a diesel generator, but also the system of a ship’s network, serves as an example. To ensure the safety of the ship’s exploitation, the parallel operation of two stand-alone power supplies is required. In parallel operation with the required symmetrical active power load (regardless of the load size), the internal combustion engine of the DG set is often underloaded. This leads to deterioration of its technical properties and, consequently, to a negative impact on the environment. This article presents an analysis of the stand-alone hybrid power system of a ship’s grid consisting of a DG with a speed and voltage regulator and a shaft generator of variable speed—a permanent magnet synchronous generator (PMSG). The possibility of controlling the active and reactive power distribution between the DG and shaft generator (SG) was also studied. Control over the mechatronic SG–DG system limits the harmful influence of the DG on the environment and, most of all, improves the technical qualities of the engine of the DG system, which is often underloaded. Analytic studies of the system were performed, and simulation results of the mechatronic model are presented.

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Energy Management System for Stand-Alone Wind-Powered-Desalination Microgrid

Cited by 63 publications

References 17 publications

A Survey on Microgrid Energy Management Considering Flexible Energy Sources

A Survey on Microgrid Energy Management Considering Flexible Energy Sources

An Energy-Based Control Strategy for Battery Energy Storage Systems: A Case Study on Microgrid Applications

Optimization to Limit the Effects of Underloaded Generator Sets in Stand-Alone Hybrid Ship Grids

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