Real-time and day-ahead risk averse multi-objective operational scheduling of virtual power plant using modified Harris Hawk's optimization

Pandey, Anubhav Kumar; Jadoun, Vinay Kumar; Jayalakshmi, N. S.

doi:10.1016/j.epsr.2023.109285

Cited by 21 publications

(5 citation statements)

References 26 publications

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“…The amount of solar radiation and component accessibility that a PV panel can generate at a given location determines its output power. The PV panel's ability to generate power based on the characteristics of current‐voltage for the available solar radiation and ambient temperature is given as [29].

\begin{equation}{P}_{\text{pv}} = N \times FF \times I \times V,\end{equation}

where the fill factor is represented as FF and N is the number of panels.…”

Section: Res and Ev Load Uncertaintymentioning

confidence: 99%

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A probabilistic approach on uncertainty modelling and their effect on the optimal operation of charging stations

K. K.,

N. S.,

Jadoun

2024

IET Generation Trans & Dist

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Uncertainty analysis deals with the fluctuations and unpredictability of the electrical power generated from renewable resources (RRs), such as solar PV and wind energy systems. This paper gives an insight into various techniques used for the uncertainty analysis and a probabilistic Monte Carlo Simulation is applied for modelling the uncertainties concerned with RRs and electric vehicle (EV) load in the MATLAB platform. The uncertainty associated with the price sensitivity of EV charging and the state of charge of EVs is taken as a prime factor for analysis in the present work. Despite the fluctuations and unpredictability of electricity generation and consumption, the considered system ensures that the total amount of electricity supplied by solar PV, wind and grid matches the total amount of electricity demanded by EV load. Rao‐1, Rao‐2 and Rao‐3 algorithms are applied in this work to optimize the operation cost of charging stations under uncertain conditions and without any uncertainties. The results obtained without uncertainties by Rao algorithms are compared with the existing particle swarm optimisation method. In the presence of uncertainties, Rao‐1 and Rao‐2 algorithms are compared with Rao‐3 and it is found that the Rao‐3 algorithm performed better.

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\begin{equation}{P}_{\text{pv}} = N \times FF \times I \times V,\end{equation}

where the fill factor is represented as FF and N is the number of panels.…”

Section: Res and Ev Load Uncertaintymentioning

confidence: 99%

“…The amount of solar radiation and component accessibility that a PV panel can generate at a given location determines its output power. The PV panel's ability to generate power based on the characteristics of current-voltage for the available solar radiation and ambient temperature is given as [29].…”

Section: Pv Power Modellingmentioning

confidence: 99%

A probabilistic approach on uncertainty modelling and their effect on the optimal operation of charging stations

K. K.,

N. S.,

Jadoun

2024

IET Generation Trans & Dist

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“…In Ref. [33], a VPP was considered whose primary purpose is minimizing the costs and emissions of the VPP's generations. The VPP's operator takes into account RESs and ESS in operation but the uncertainty of WT and PV input data and the impact of DRP on emissions are not modeled.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Operation of Sustainable Virtual Power Plant Considering the Amount of Emission in the Presence of Renewable Energy Sources and Demand Response

Darvishi,

Tahmasebi,

Shokouhmand

et al. 2023

Sustainability

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One of the significant environmental issues is global warming, and governments have changed their procedures to reduce carbon emissions. Sustainability is commonly described as having three dimensions: environmental, economic, and social. There are numerous environmental impacts associated with energy systems and the significance of energy for living standards and economic development. Therefore, the movement towards intelligent energy systems and virtual power plants (VPPs) is being pursued more rapidly due to economic and environmental issues. The VPP is one of the technologies used to increase the entire system’s efficiency. Moreover, because of environmental pollution, increased greenhouse gas production, and global warming, countries’ policies have changed towards reducing the use of fossil fuels and increasing the penetration of renewable energy sources (RESs) in distribution networks. However, RESs, such as wind turbines (WT) and photovoltaic (PV) panels, exhibit uncertain behavior. This issue, coupled with their high penetration, poses challenges for network operators in terms of managing the grid. Therefore, the sustainable virtual power plant (SVPP) is a suitable solution to overcome these problems and reduce the emissions in power systems. This study examines the cost of optimal operating of the SVPP and the amount of produced pollution in four different scenarios in the presence of a demand response program (DRP), energy storage system (ESS), etc., and the results are compared. The results indicate that the simultaneous implementation of DRPs and utilization of ESS can lead to a decrease in costs and pollution associated with SVPPs by 1.10% and 29.80%, respectively. Moreover, the operator can resolve the shortage and excess power generation that occurs during some hours.

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“…If CHP units and various distributed energy sources are aggregated into a CHP-VPP, the complementary advantages between resources can be used to achieve "thermoelectric coupling" and promote the consumption of renewable energy. Many scholars have now studied the optimal dispatching of CHP-VPP (Shitong et al, 2022;Hamzeh and Sadegh, 2023;Kumar et al, 2023). In Ref.…”

Section: Introductionmentioning

confidence: 99%

A multi-objective dispatching model for a novel virtual power plant considering combined heat and power units, carbon recycling utilization, and flexible load response

Yang,

Tian,

Liu

et al. 2024

Front. Energy Res.

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To optimize the energy supply potential and complementary advantages of distributed energy, this paper focuses on the dispatching optimization of cogeneration virtual power plant considering uncertainty. First of all, wind power, photovoltaic, combined heat and power (CHP) units, electric boilers, and controllable loads are integrated into a CHP virtual power plant. Then, carbon capture and electric-to-gas devices are introduced to realize carbon recycling. Furthermore, quantify the risk of real-time dispatching of virtual power plants through uncertainty scenario generation and conditional value at risk (CVaR) theory, and the multi-objective stochastic dispatching optimization model of virtual power plants is built with the aim at minimizing the operation cost, carbon emissions, and operation risk as the objectives, and the CRITIC weighting method is adopted to solve it. Finally, the calculation results show that: 1) the electric boiler can use wind and photovoltaic power to supply heat for the system, reduce the dependence of the virtual power plant (VPP) on the CHP unit, and make the electric output of the unit more flexible. 2) The risk quantification method proposed can fully measure the risk situation in real-time dispatching, arrange the wind and photovoltaic power generation plan and backup plan more reasonably, and enable the VPP to get more benefits while avoiding the risks in real-time dispatching.

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Real-time and day-ahead risk averse multi-objective operational scheduling of virtual power plant using modified Harris Hawk's optimization

Cited by 21 publications

References 26 publications

A probabilistic approach on uncertainty modelling and their effect on the optimal operation of charging stations

A probabilistic approach on uncertainty modelling and their effect on the optimal operation of charging stations

Optimal Operation of Sustainable Virtual Power Plant Considering the Amount of Emission in the Presence of Renewable Energy Sources and Demand Response

A multi-objective dispatching model for a novel virtual power plant considering combined heat and power units, carbon recycling utilization, and flexible load response

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