A novel disruption based symbiotic organisms search to solve economic dispatch

Vedik, B.; Naveen, P.; Shiva, Chandan Kumar

doi:10.1007/s12065-020-00506-5

Cited by 12 publications

(8 citation statements)

References 87 publications

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“…It is placed from associated energy unit that is helped by the associated generation of ICE. 120 Parallel hybrid. It links ICE, also the motor on parallel through wheels.…”

Section: Hybrid Electric Vehicle Setupmentioning

confidence: 99%

Review of electric vehicle (EV) charging using renewable solar photovoltaic (PV) nano grid

Satheesh Kumar,

Ashok Kumar,

Senthilrani

2023

Energy & Environment

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This review article gives a comprehensive review of existing research on renewable solar photovoltaic (PV) nanogrid, which is described from small-scale power system with a single domain for reliability, control, and power quality (PQ) for electric vehicle (EV) charging. A primary feeder on the Microgrid is connected to a nanogrid test bed that includes PV as power source, a battery energy storage system (BESS), smart-inverter multiple and EV charging stations (EVCS). The control algorithms are graded on four metrics: (1) voltage profiles, (2) renewable penetration, (3) PV curtailed and (4) net power flows. To investigate the local power quality, a steady-state power flow model of the nano-grid is created. The control algorithms successfully employ the battery to shift the nano-grid peak load while limiting the nano-grid demand to set level. Furthermore, an increasing emphasis is being placed on commonly used strategies for addressing the characteristics of each renewable system. This review paper characterizes the dynamic operation of 4 distinct BESS control algorithms for solar EV charging nanogrid: (1) peak load shifting, (2) reduce peak period impact, (3) cap demand, and (4) photovoltaic capture. These control modes are executed and analyzed on real-world nano-grid site, and optimal BESS control modes are assessed in terms of (1) solar electric vehicle charging, (2) power quality, (3) grid net demand, (4) photovoltaic curtailment, and (5) solar penetration. Finally, the problems highlight research gaps, and discussions on future trends are critical for enhancing the general technology of the renewable solar photovoltaic nano-grid for EV charging.

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“…It is placed from associated energy unit that is helped by the associated generation of ICE. 120 Parallel hybrid. It links ICE, also the motor on parallel through wheels.…”

Section: Hybrid Electric Vehicle Setupmentioning

confidence: 99%

Review of electric vehicle (EV) charging using renewable solar photovoltaic (PV) nano grid

Satheesh Kumar,

Ashok Kumar,

Senthilrani

2023

Energy & Environment

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“…The quality of electric power distributed is defined by two factors, namely "continuity" of supply and the "eminence" of voltage. The major power quality issues are tabulated below in Table 1 from the literature [14][15][16][17][18][19][20][21][22][23][24][25][26][27].…”

Section: Ev Charging System: Power Quality Issuesmentioning

confidence: 99%

Enhancing the Power Quality of the Grid Interactive Solar Photovoltaic-Electric Vehicle System

Irfan¹,

Rangarajan

Collins

et al. 2021

WEVJ

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Grid interactive solar photovoltaic (PV) and electric vehicle (EV) systems are the emerging technologies nowadays, mainly due to energy cost reduction and minimization of emission levels. Various research surveys have presented the effect of grid integration of PVs and EVs in an isolated way. However, it is worth accepting that with the continuous emergence of PVs and EVs, the power grid is experiencing the combined effect of PV–EV integration. The distribution system network of EVs impacts the power quality of the grid. In this paper, shunt active power filter is modelled using neuro-fuzzy control technique for the mitigation of harmonics using MATLAB. The improvement in the system performance is analyzed and compared with the traditional compensation techniques.

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“…Te results illustrate that the suggested algorithm improve the quality of the solution and the convergence of the algorithm. Vedik et al [29] combined SOS with the disruption operator to deal with economic dispatch problems. Te results demonstrate that the developed algorithm is valid and reliable.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Weighted Symbiotic Organisms Search Algorithm for Global Optimization Problems

Zhao

Liu

2023

Complexity

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The symbiotic organisms search (SOS) algorithm is a current effective meta-heuristic algorithm, which is been applied to solve various types of optimization problems. However, the SOS can easily lead to overexploration in the parasitism phase, and it is difficult to balance between exploration and exploitation capabilities. In the present work, two extended versions of the SOS are proposed. Two different weight strategies (i.e., random-weight and adaptive-weight) are utilized to generate the weighted mutual vector, respectively. Meanwhile, the best organism is employed to produce the modified artificial parasite vector. The performance of the two improved algorithms is evaluated on 35 test functions. The results demonstrate that the proposed algorithms are able to provide very promising results. Furthermore, five real-world problems are solved by the two newly proposed methods. Experimental results demonstrate that the presented algorithms are more efficient than the compared algorithms. All the obtained results further indicate that the two proposed algorithms are competitive and provide better results when compared to a wide range of algorithms, including SOS and its five modified versions, as well as ten other meta-heuristic algorithms.

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A novel disruption based symbiotic organisms search to solve economic dispatch

Cited by 12 publications

References 87 publications

Review of electric vehicle (EV) charging using renewable solar photovoltaic (PV) nano grid

Review of electric vehicle (EV) charging using renewable solar photovoltaic (PV) nano grid

Enhancing the Power Quality of the Grid Interactive Solar Photovoltaic-Electric Vehicle System

Dynamic Weighted Symbiotic Organisms Search Algorithm for Global Optimization Problems

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