An Active and Reactive Power Controller for Battery Energy Storage System in Microgrids

Gao, Jun-Ting; Shih, Chang-Heng; Lee, Chun-Wei; Lo, Kuo-Yuan

doi:10.1109/access.2022.3145009

Cited by 21 publications

(10 citation statements)

References 23 publications

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“…The droop gain is calculated based on the permissible voltage variations and the nominal current (2).…”

Section: The DC Microgrids Challenges Descriptionmentioning

confidence: 99%

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Mitigating voltage deviation, SOCs difference, and currents disparity in DC microgrids using a novel piecewise SOC‐based control method

Erfani Haghani Kerman,

Abavisani,

Eydi

et al. 2024

IET Generation Trans & Dist

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Proper current sharing, DC bus voltage deviation reduction, and SOCs balancing, along with ensuring stability are the vital challenges of DC microgrids control algorithms. Addressing these challenges without communication links and a central controller is one of the priorities of control methods. Motivated by the above mentions, this paper presents a novel communication‐free control method. In this regard, a new parameter called “virtual current” is defined according to the unit current and its SOC. Then using a piecewise droop curve and the droop curve shift technique, the virtual current for each unit is determined. The units control coefficients and the relationship of the virtual current are allocated based on the location and power of the loads and RESs such that in the worst case; 1) SOCs are converged; 2) the DC bus voltage deviation is reduced; and 3) the current is appropriately distributed. The simulation and experimental results confirm that the proposed method can balance SOCs like SOC‐based methods and share power properly like piecewise droop methods while reducing DC bus voltage deviation.

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“…The droop gain is calculated based on the permissible voltage variations and the nominal current (2).…”

Section: The DC Microgrids Challenges Descriptionmentioning

confidence: 99%

“…The set of RESs, ESS, and local loads introduces a new concept called "microgrid". Microgrids can operate in both the grid-connected and islanded modes [1,2]. When they operate in islanded mode, they can exhibit various frequencies, including zero (DC).…”

Section: Introductionmentioning

confidence: 99%

Mitigating voltage deviation, SOCs difference, and currents disparity in DC microgrids using a novel piecewise SOC‐based control method

Erfani Haghani Kerman,

Abavisani,

Eydi

et al. 2024

IET Generation Trans & Dist

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“…A simplified flowchart of the GA is shown in Fig. 1 [47], [48], and the parameter values suitable for the GA developed in this study are listed in Table 1.…”

Section: A Genetic Algorithmmentioning

confidence: 99%

Optimal Allocation of Renewable Distributed Generations Using Heuristic Methods to Minimize Annual Energy Losses and Voltage Deviation Index

Pürlü

Türkay

2022

IEEE Access

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In this paper, two metaheuristic methods, genetic algorithm and particle swarm optimization, are proposed to determine the optimal locations, sizes and power factors of single and double distributed generation units. In line with the 2050 carbon neutral goal, the aim was to integrate renewable distributed energy sources such as photovoltaic panels and wind turbines into the distribution system with a high penetration level. In contrast to most studies based on constant loads and dispatchable generations, an application considering the seasonal uncertainties of generation and consumption was performed to minimize the annual energy losses and voltage deviations of the distribution network. In addition, dispatchable, controllable and fuel-based conventional resources were allocated to compare the contributions of renewable resources. These seasonal case studies with various constraints were applied to IEEE 33-bus radial distribution network. To verify the feasibility and robustness of the proposed algorithms, case studies for peak loads were created and compared with the literature studies. While all distributed generation sources were operated at both unity and optimum power factor in all case studies, zero power factor and leading power factor scenarios were examined for a peak load only. Photovoltaic applications without energy storage technologies have not been very efficient because of the uneven daily distribution of solar irradiance, especially insufficient irradiation in the evening and excessive irradiation at noon. However, wind energy applications are more reliable and feasible, because the wind speed distribution is relatively more uniform than that of solar irradiation, both seasonally and daily. In all cases, operating distributed generation sources at the optimal power factor provided better results than those operating at unity power factor. As a result, wind turbines operating at optimal power factors have been found to contribute better than photovoltaic systems and are almost as good as conventional sources with controllable power output. While both proposed algorithms yielded better results than those in the literature, particle swarm optimization was better than genetic algorithm in terms of providing the best solution, faster convergence and shorter running time.

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“…Although, there are some efficient schemes for ESSs in which they can compensate harmonic components besides active and reactive power exchange with the network [18,19] the scheduling of the ESS has not been considered in harmonic polluted networks, significantly.…”

Section: Literature Reviewmentioning

confidence: 99%

Stochastic scheduling of energy storage systems in harmonic polluted active distribution networks

Ebrahimi

Rezaeian‐Marjani

Farhadi‐Kangarlu

et al. 2022

IET Generation Trans & Dist

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Harmonics originating from non-linear loads in distribution systems will cause undesired effects and malfunctions of equipment. It is important to use efficient techniques for eliminating the voltage and current harmonic components. However, the uncertain nature of the active distribution networks (ADN) makes it difficult to apply these techniques, efficiently. Renewable energy sources (RESs), such as wind turbines (WTs) besides load fluctuations are the most important uncertainty sources. This study employs energy storage systems (ESS) to reduce total harmonic distortion (THD) as well as the ADN operating costs. In addition to the ESS, network structure reconfiguration and reactive power scheduling is presented for a more efficient operation of ADN. Also, the uncertainty of the network is modelled by the K-means and LHS methods. This methodology is conducted under a multi-objective optimization problem, which is handled by a multi-objective particle swarm optimization (MOPSO) algorithm. Furthermore, a technique for order of preference by similarity to ideal solution (TOPSIS) approach is applied to obtain the best compromise between two objectives. The efficacy of the proposed methodology is investigated in the IEEE 33 bus test system. Also, for validating the results, a large-scale network, the IEEE 118 bus test system is surveyed, too.

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An Active and Reactive Power Controller for Battery Energy Storage System in Microgrids

Cited by 21 publications

References 23 publications

Mitigating voltage deviation, SOCs difference, and currents disparity in DC microgrids using a novel piecewise SOC‐based control method

Mitigating voltage deviation, SOCs difference, and currents disparity in DC microgrids using a novel piecewise SOC‐based control method

Optimal Allocation of Renewable Distributed Generations Using Heuristic Methods to Minimize Annual Energy Losses and Voltage Deviation Index

Stochastic scheduling of energy storage systems in harmonic polluted active distribution networks

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