Environment Friendly Hybrid Solar-Hydro Power
Distribution Scheduling on Demand Side

Niaz, Ashfaq; Kader, Mst Sharmin; Khan, Sardar; Jia, Yingmin; Shoukat, Muhammad Usman; Nawaz, Saqib Ali; Niaz, Fahim; Niaz, Ibrar

doi:10.15244/pjoes/152810

Pol. J. Environ. Stud.

2022

DOI: 10.15244/pjoes/152810

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Environment Friendly Hybrid Solar-Hydro Power Distribution Scheduling on Demand Side

Ashfaq Niaz¹,

Mst Sharmin Kader²,

Sardar Khan³

et al.

Abstract: Solar, wind, hydro, and biomass energy sources are clean, sustainable, safe, and ecologically acceptable alternatives to traditional fossil fuels [1][2][3][4]. With the growing intensity of environmental and resource issues, low-cost, robust wind-solar power generation has developed as a comparatively fast-growing new energy power generating technology in the power system. Large power outage will have a great impact on the economy and people's life [5]. However, due to the intermittency and volatility of renew… Show more

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Cited by 4 publications

References 11 publications

(17 reference statements)

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A comprehensive optimization mathematical model for wind solar energy storage complementary distribution network based on multi-regulatory devices under the background of renewable energy integration

Zhou,

Zhang,

Jin

et al. 2024

Energy Inform

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In the context of global energy transformation and sustainable development, integrating and utilizing renewable energy effectively have become the key to the power system advancement. However, the integration of wind and photovoltaic power generation equipment also leads to power fluctuations in the distribution network. The research focuses on the multifaceted challenges of optimizing the operation of distribution networks. It explores the operation and control methods of active distribution networks based on energy storage and reactive power compensation equipment. The stable operation of the distribution network is analyzed under the conditions of wind and photovoltaic integration, with a particular focus on precise regulation to address the limitations of existing methods. Afterwards, the study proposes an improvement plan that combines on load tap changer transformers and reactive power compensation equipment to solve complex power balance problems through second-order cone programming relaxation method. The results of numerical analysis show that the constructed mathematical model maintains a stable voltage of 1 to 1.1 pu at distribution network nodes within 24 h. Especially during peak hours from 15:00 to 24:00, it remains normal without any abnormal fluctuations when the control equipment is not added. These results confirm that precise regulation of multiple devices ensures voltage stability and avoids low or high voltage issues.

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A comprehensive optimization mathematical model for wind solar energy storage complementary distribution network based on multi-regulatory devices under the background of renewable energy integration

Zhou,

Zhang,

Jin

et al. 2024

Energy Inform

View full text Add to dashboard Cite

show abstract

Digital Twin Concept, Method and Technical Framework for Smart Meters

Irfan,

Niaz,

Habib

et al. 2023

ejtas

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Smart meters connect smart grid electricity suppliers and users. Smart meters have become a research hotspot as smart grid applications like demand response, power theft prevention, power quality monitoring, peak valley time of use prices, and peer-to-peer (P2P) energy trading have grown. But, as the carriers of these functions, smart meters have technical problems such as limited computing resources, difficulty in upgrading, and high costs, which to some extent restrict the further development of smart grid applications. To address these issues, this study offers a container-based digital twin (CDT) approach for smart meters, which not only increases the user-facing computing resources of smart meters but also simplifies and lowers the overall cost and technical complexity of meter changes. In order to further validate the effectiveness of this method in real-time applications on the smart grid user side, this article tested and analyzed the communication performance of the digital twin system in three areas: remote application services, peer-to-peer transactions, and real-time user request services. The experimental results show that the CDT method proposed in this paper meets the basic requirements of smart grid user-side applications for real-time communication. The container is deployed in the cloud, and the average time required to complete 100 P2P communications using our smart meter structure is less than 2.4 seconds, while the average time required for existing smart meter structures to complete the same number of P2P communications is 208 seconds. Finally, applications, the future development direction of the digital twin method, and technology architecture are projected.

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A Review on MPC Based Self Recovering Intelligent Advance Meter for Smart Grid: Scheme and Challenges

Rana,

Niaz,

Kashif

et al. 2023

ejtas

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The Model Predict Control (MPC) based Intelligent Advance Metering (IAM) is a core maneuver of future smart grids (SG). SG is the advanced generation of electric power and utility system that improve operation technology (OT) and information technology (IT) to provide nonstop, self-recovery, self-configuration, low-cost, and security-based electricity to the consumer in real-time. Smart metering (SM) allows SG to connect the electric, gas, and oil utilities through sensors. Power plants, consumers, and utility companies will be received real-time wireless control IAM with fifth generation (5G) network technology. The aim of 5G network technology is to enable power grid digitalization (PGD) and facilitate the (IOT) Internet of Things for the future advance SG with benefits such as high-rate public safety, low latency, ultra-high speed, large number of connectivity, and reliability. In this paper, we analyze future predictions about energy needs by using MPC, fast self-recovery system, self-configuration, and upgradation, better performance of service provider, faster power connecting after an outage, control electric theft, minimize electric leakage, a large number of wireless connecting of IAM home-based, and real-time monitoring via human machine interface (HMI) and for customer end IAM operation over 5G networks to reduce billing price, reduce meter cost, lower outage cost, and as well as personalized control over electricity consumption and future challenge in this area.

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Environment Friendly Hybrid Solar-Hydro Power Distribution Scheduling on Demand Side

Cited by 4 publications

References 11 publications

A comprehensive optimization mathematical model for wind solar energy storage complementary distribution network based on multi-regulatory devices under the background of renewable energy integration

A comprehensive optimization mathematical model for wind solar energy storage complementary distribution network based on multi-regulatory devices under the background of renewable energy integration

Digital Twin Concept, Method and Technical Framework for Smart Meters

A Review on MPC Based Self Recovering Intelligent Advance Meter for Smart Grid: Scheme and Challenges

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