Steady-State Voltage Regulation With Reduced Photovoltaic Power Curtailment

Zhang, Zhanqiang; Mishra, Yateendra; Dou, Chunxia; Yue, Dong; Zhang, Bo; Tian, Yu-Chu

doi:10.1109/jphotov.2020.3026139

Cited by 23 publications

(14 citation statements)

References 27 publications

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“…Equation (17) shows the ramping constraint, in which the speed regulation limit of ith kind DG such as WT and DE is denoted by P i,DOWN , and P i,UP . Equation (18) shows the power balance constraint and Equation ( 19) depicts the operating reserve constraint.…”

Section: Constraintsmentioning

confidence: 99%

“…One can accomplish a whole set of objectives such as power loss mitigation, rendering additional services, conjoining the renewable energy sources, and voltage regulation by utilizing the optimization approaches during EV charging methods. In PV systems, voltage regulation methods have some issues like slow response, discrete feature, and high cost 16,17 . In case of improper optimization of electrification in the transportation sector, it may severely disrupt or even break the existing infrastructure 18–20 .…”

Section: Introductionmentioning

confidence: 99%

“…In PV systems, voltage regulation methods have some issues like slow response, discrete feature, and high cost. 16,17 In case of improper optimization of electrification in the transportation sector, it may severely disrupt or even break the existing infrastructure. [18][19][20] Various studies have estimated that the existing grid infrastructure may face serious burdening issues and lethal consequences in case of integrating 10% EVs into roads.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of emission cost and economic analysis for microgrid by considering a metaheuristic algorithm‐assisted dispatch model

Somakumar¹,

Kasinathan²,

Monicka

et al. 2022

Int J Numerical Modelling

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Electric vehicles (EVs) have witnessed a steady and continuous rise in the last few years. The increased prevalence of EVs results in high demand for electricity from the power grid and it can be effectively handled by combining EV charging infrastructure with renewable energy sources (RES). However, the intermittent characteristic of RES introduces an additional challenge to the power grid. This paper proposes a metaheuristic algorithm called self-adaptive elephant herd optimization algorithm (SA-EHO) to achieve the desired dispatch model of microgrid (MG) with EVs and RES. The proposed algorithm optimizes both economic and emission cost of MG which comprises diesel engine (DE), solar photovoltaic (PV), EVs, fuel cell (FC), wind turbine (WT), and loads. The output constraints associated with a distributed power supply such as power limits of distributed generators (DG) and charging of EVs followed by its discharging are subjected to optimization. Finally, the performance of the proposed model is compared and proved over other existing models. Especially, a minimal total cost of the proposed model is 16.79%, 21.58%, 20%, 26.67%, and 1.33% superior to traditional HSA, GA, EHO, MSA, and FS-MSA models at 100th iteration. Furthermore, the reserved cost of the proposed scheme for the third scenario is 77.78%, 90.91%, 85.71%, 90.91%, and 90.91% superior to existing models such as HSA, GA, EHO, MSA, and FS-MSA, respectively.

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Section: Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimization of emission cost and economic analysis for microgrid by considering a metaheuristic algorithm‐assisted dispatch model

Somakumar¹,

Kasinathan²,

Monicka

et al. 2022

Int J Numerical Modelling

View full text Add to dashboard Cite

show abstract

“…Moreover, an incentive-based market mechanism where EV owners are rewarded for their bidirectional charging behavior between EVs and grid (vehicle-to-grid (V2G) and gridto-vehicle (G2V)) helping the electricity grid is necessary. Additionally, the bidirectional power flow can also be used to provide high-quality ancillary services such as voltage and frequency regulation, peak power management and improvement to the load factor [29][30][31][32]. This should be combined with appropriate market research where the public acceptability of this mechanism is evaluated.…”

Section: Introductionmentioning

confidence: 99%

Mobile-Energy-as-a-Service (MEaaS): Sustainable Electromobility via Integrated Energy–Transport–Urban Infrastructure

et al. 2022

Self Cite

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The transport sector is one of the leading contributors of anthropogenic climate change. Particularly, internal combustion engine (ICE) dominancy coupled with heavy private motor vehicle dependency are among the main issues that need to be addressed immediately to mitigate climate change and to avoid consequential catastrophes. As a potential solution to this issue, electric vehicle (EV) technology has been put forward and is expected to replace a sizable portion of ICE vehicles in the coming decades. Provided that the source of electricity is renewable energy resources, it is expected that the wider uptake of EVs will positively contribute to the efforts in climate change mitigation. Nonetheless, wider EV uptake also comes with important issues that could challenge urban power systems. This perspective paper advocates system-level thinking to pinpoint and address the undesired externalities of EVs on our power grids. Given that it is possible to mobilize EV batteries to act as a source of mobile-energy supporting the power grid and the paper coins, and conceptualize a novel concept of Mobile-Energy-as-a-Service (MEaaS) for system-wide integration of energy, transport, and urban infrastructures for sustainable electromobility in cities. The results of this perspective include a discussion around the issues of measuring optimal real-time power grid operability for MEaaS, transport, power, and urban engineering aspects of MEaaS, flexible incentive-based price mechanisms for MEaaS, gauging the public acceptability of MEaaS based on its desired attributes, and directions for prospective research.

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“…At present, the industry has proposed a variety of control algorithms for volt/var control (VVC) and has achieved certain results in closed-loop simulation and local experiments [3,6]. rough sorting and comparison of different VCC algorithms, as shown in Table 1, the problems and research progress motivate the current research work of this paper [23][24][25][26][27][28][29].…”

Section: Introductionmentioning

confidence: 99%

A Novel Coordinated Control System to Reactive Power Compensation of Photovoltaic Inverter Clusters

Pan

2022

International Transactions on Electrical Energy Systems

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With the development of new energy, a cost-effective reactive power compensation scheme is essential to the voltage stability of the power system for small-capacity distributed generation. This paper proposes a coordinated control scheme of inverter cluster which is based on the reactive power support capability of the photovoltaic inverter. Moreover, by using power angle vectors, a reactive power distribution algorithm is proposed to solve the poor power quality of the point of common coupling connecting source and load in the distributed generation station. Simulations verify the performance of the algorithm is better than the conventional static capacity distribute algorithm and dynamic residual margin distribute algorithm. Finally, the effectiveness of the reactive power compensation scheme and distribution strategy for improving power quality and regulation ability proposed in this paper is verified by operation experiments in the actual power station.

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Steady-State Voltage Regulation With Reduced Photovoltaic Power Curtailment

Cited by 23 publications

References 27 publications

Optimization of emission cost and economic analysis for microgrid by considering a metaheuristic algorithm‐assisted dispatch model

Optimization of emission cost and economic analysis for microgrid by considering a metaheuristic algorithm‐assisted dispatch model

Mobile-Energy-as-a-Service (MEaaS): Sustainable Electromobility via Integrated Energy–Transport–Urban Infrastructure

A Novel Coordinated Control System to Reactive Power Compensation of Photovoltaic Inverter Clusters

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