Modeling of Various Renewable Energy Resources for Smart Electrical Power Systems

Salkuti, Surender Reddy

doi:10.1007/978-981-16-7794-6_2

Cited by 4 publications

(1 citation statement)

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“…The combined heat and power-based microgrid needs strategic placement of distributed generators concerning optimal size, location, and type. The modelling of various renewable energy resources for smart electrical power systems is presented in [24]. Ref.…”

Section: Literature Reviewmentioning

confidence: 99%

Participation of energy hubs in the market clearing price‐based energy market considering generation and consumption uncertainty modelling

Farsani

Joorabian

Mortazavi

2023

IET Renewable Power Gen

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The market clearing pricing (MCP) model is used to operate electricity, gas, and heating networks (EGHNs) with flexible energy hubs (EHs) in the day‐ahead energy market. It's two‐level optimization. Its higher level refers to EHs' participation in the market and their profit maximization bound by the operational model of power sources, storage devices, and responsive loads in the form of EHs and their flexibility limit. In the lower‐level problem, the MCP model calculates energy price and evaluates EH performance's effects on the networks' technical and economic indices. It optimizes power flow in the networks to reduce centralized generator operating costs. This approach is linear approximation. Unscented transformation (UT) model load and renewable power uncertainties. This technique contains the fewest situations, reducing issue volume and computing time. Benders decomposition (BD) technique calculates energy prices, EHs, and networks. Finally, the numerical results show that the proposed scheme can extract the optimal economic and flexibility states of EHs. EHs' optimal performance enhanced energy networks' economic and operating status compared to power flow studies and promoted societal welfare by lowering energy prices.

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Section: Literature Reviewmentioning

confidence: 99%