Modeling, Optimization, and Analysis of a Virtual Power Plant Demand Response Mechanism for the Internal Electricity Market Considering the Uncertainty of Renewable Energy Sources

Ullah, Zahid; Ali, Arshad; Hassanin, Hany

doi:10.3390/en15145296

Cited by 29 publications

(10 citation statements)

References 34 publications

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“…Thus, it is essential to attain high-quality optimization plans to achieve good scheduling programs effectively. For instance, in a regulated market, the optimization plan might prioritize minimizing power generation costs while considering fixed power generation and market price [26]. Therefore, the optimizer must efficiently combine specific limits and the set of parameters to attain the lowest power generation cost possible, considering a predetermined generation capacity and market price [30].…”

Section: Literature Reviewmentioning

confidence: 99%

Enhancing Hydro Power Plant Efficiency through Hybrid-Optimization Approach

Enyiukwu, E. I. and Omeje, C. O.

2024

JCMPS

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The inclusion of hydroelectric power is crucial to Nigeria's overall energy mix, playing a significant role in electricity generation. However, the Shiroro hydro plant, one of the main facilities located on the Kaduna River, is currently facing operational obstacles due to deteriorating infrastructure and inadequate maintenance practices. To overcome these challenges and improve efficiency within Nigeria's hydroelectric power sector, a hybrid-optimization approach has been proposed. This study sought to enhance the efficiency of the Shiroro hydro plant by implementing this innovative method. To achieve our objectives and address pertinent research questions, a mixed research method combining primary and secondary data was employed. The analysis included hydropower modeling and hydro-turbine input-output modeling. Three optimizer models, namely the particle swarm optimizer (PSO), Ant colony optimizer (ACO), and Artificial bee colony optimizer (ABCO), were utilized to formulate objective functions and task representations. The study involved comparing the daily output and fitness response of the Shiroro hydro plant through swarm optimizer iterations. The findings revealed a clear correlation between the turbine's power output and the water flow rate and water column height, suggesting that altering these factors could significantly improve the plant's performance. The comparison of the PSO, ACO, and ABCO models demonstrated that PSO and ABCO generated optimal or near-optimal solutions, while ACO produced suboptimal results. Consequently, the study concluded that enhancing the Shiroro hydro plant's output was feasible by increasing the water flow rate and column height. Additionally, the utilization of PSO and ABCO models proved to be an effective means of accurately predicting the turbine's output. As a result, the study recommended the integration of hybrid optimization techniques to monitor and identify any deviations in the Shiroro hydro plant's daily power output. This approach would enable prompt maintenance to be carried out, preventing significant damage to the plant. Ultimately, this research contributes valuable insights into improving the efficiency and performance of Nigeria's Shiroro hydro plant.

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Section: Literature Reviewmentioning

confidence: 99%

Enhancing Hydro Power Plant Efficiency through Hybrid-Optimization Approach

Enyiukwu, E. I. and Omeje, C. O.

2024

JCMPS

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“…The output power of WT is modeled using Equation (1) [34]. In this equation, P WT i (t) and P rated i are output and rated power, respectively.…”

Section: Wind Turbine (Wt)mentioning

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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“…A review of an offline and online approach to the OLTC condition monitoring was considered in Ismail et al (2022). Modeling, optimization, and analysis of a virtual power plant demand response mechanism for the internal electricity market considering the uncertainty of renewable energy sources were studied in Ullah et al (2022). Strategies for increasing the grid-integrated share of renewable energy with energy storage and existing coal fired power generation in China were considered in Zhao et al (2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Overview of Some Recent Results of Energy Market Modeling and Clean Energy Vision in Canada

Swishchuk

2023

Risks

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This paper overviews our recent results of energy market modeling, including The option pricing formula for a mean-reversion asset, variance and volatility swaps on energy markets, applications of weather derivatives on energy markets, pricing crude oil options using the Lévy processes, energy contracts modeling with delayed and jumped volatilities, applications of mean-reverting processes on Alberta energy markets, and alternatives to the Black-76 model for options valuation of futures contracts. We will also consider the clean renewable energy prospective in Canada, and, in particular, in Alberta and Calgary.

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Modeling, Optimization, and Analysis of a Virtual Power Plant Demand Response Mechanism for the Internal Electricity Market Considering the Uncertainty of Renewable Energy Sources

Cited by 29 publications

References 34 publications

Enhancing Hydro Power Plant Efficiency through Hybrid-Optimization Approach

Enhancing Hydro Power Plant Efficiency through Hybrid-Optimization Approach

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

Overview of Some Recent Results of Energy Market Modeling and Clean Energy Vision in Canada

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