System Economy Improvement and Risk Shortening by Fuel Cell-UPFC Placement in a Wind-Combined System

Mitul Ranjan Chakraborty, Subhojit Dawn (), Pradip Kumar Saha, Jayanta Bhusan Basu and Taha Selim Ustun ()
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Mitul Ranjan Chakraborty: Department of Electrical Engineering, Siliguri Institute of Technology, Siliguri 734009, West Bengal, India
Subhojit Dawn: Department of Electrical & Electronics Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada 520007, Andhra Pradesh, India
Pradip Kumar Saha: Department of Electrical Engineering, Jalpaiguri Government Engineering College, Jalpaiguri 735102, West Bengal, India
Jayanta Bhusan Basu: Department of Electrical Engineering, Siliguri Institute of Technology, Siliguri 734009, West Bengal, India
Taha Selim Ustun: Fukushima Renewable Energy Institute, AIST (FREA), Koriyama 963-0298, Japan

Energies, 2023, vol. 16, issue 4, 1-30

Abstract: It is important to understand the features of an integrated renewable energy power system, especially for deregulated systems. The greatest obstacle to assimilating renewable energy generators with the existing electrical system is their unpredictability. Because wind energy is inconsistent, incorporating it into an established power system necessitates more planning. The effects of wind farm (WF) incorporation with fuel cells and a unified power flow controller (UPFC) on electric losses, voltage profile, generating price, and the economics of the system in a deregulated power market are examined in this paper. An impact analysis of integrating wind farms into controlled and uncontrolled situations is conducted. At two randomly selected locations in India, the real-time statistics of the actual wind speed (AWS) and forecasted wind speed (FWS) were merged for this study. The surplus charge rate and deficit charge rate are intended to evaluate the imbalance cost which is arising from the difference between anticipated and true wind speeds to determine the economics of the system. Customers are always trying to find electricity that is reliable, inexpensive, and efficient due to the reconfiguration of the power system. As a consequence, the security limitations of the system may be surpassed or might function beyond the safety limit, which is undesirable. In the last section, heuristic algorithms, such as sequential quadratic programming (SQP), artificial bee colony algorithms (ABC), and moth-flame optimization algorithms (MFO), are employed to analyze economic risk. In the real-time energy market, it also covers how the fuel cells and UPFC are utilized to rectify the WF integration’s deviation. Economic risk evaluation approaches include value-at-risk (VaR) and conditional value-at-risk (CVaR). A modified IEEE 30-bus test system is used throughout the whole project.

Keywords: electricity market; wind energy; UPFC; fuel cell; system profit; VaR; CVaR (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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