An Economic Risk Analysis in Wind and Pumped Hydro Energy Storage Integrated Power System Using Meta-Heuristic Algorithm

Singh, Nitesh Kumar; Koley, Chaitali; Gope, Sadhan; Dawn, Subhojit; Ustun, Taha Selim

doi:10.3390/su132413542

Cited by 32 publications

(19 citation statements)

References 30 publications

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“…A population-based search methodology called the ABC algorithm which was developed in part as a result of honey bees' clever behavior [36]. In this instance, there are three types of bees present in the artificial colony: employed, onlookers, and scouts.…”

Section: Artificial Bee Colony Algorithm (Abc)mentioning

confidence: 99%

“…A brand-new metaheuristic optimization technique called the MFO algorithm is focused on simulating moth activity to understand their unique night-time navigational strategies [36]. Here, a moth flies by maintaining a steady angle to the moon, which is an incredibly efficient mechanism for traveling great distances in a straight line because the moon is far from the moth.…”

Section: Moth Flame Optimization Algorithmmentioning

confidence: 99%

“…The solution from optimal power flow (OPF) was achieved through the different constraints which have been taken from ref. [36].…”

Section: Figure 4 Flow Chart For Calculating Profitmentioning

confidence: 99%

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Risk Mitigation & Profit Improvement of a Wind-Fuel Cell Hybrid System With TCSC Placement

Basu¹,

Dawn

Saha³

et al. 2023

IEEE Access

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The incorporation of renewable energy into the existing electrical system is vital in a competitive electrical system. The unpredictable nature of renewable sources is the main obstacle to energy source integration. Since wind energy is unpredictable, integrating it into an existing thermal system requires some additional operating procedures to maintain the economic and functioning sustainability of the system. In a competitive power network, renewable energy uncertainty creates an imbalance cost (IC) which directly affects the system economy. This study investigates system generation costs, voltage profiles, and electric losses in a deregulated power market incorporating wind farms (WF) & fuel cells (FC). The fuel cell has been used here as a reserve generating unit to mitigate the deficit of power in the renewable incorporated system. To check the efficacy of the presented method, two locations in India are chosen at random. To assess the imbalance cost caused by the discrepancy between forecasted (FWS) and actual wind speeds (AWS), several charge rates (i.e. surplus and deficit) were established. The electrical system has been restructured, so consumers are continually looking for efficient and stable economic power which is only possible by reducing the system risk. This paper outlines a strategy for the optimal operation of a Thyristor-Controlled Series Compensator (TCSC) and fuel cell in a wind-integrated system to maximize system profit and minimize the system risk. In this work, different algorithms like Sequential Quadratic Programming (SQP), Artificial Bee Colony Algorithms (ABC), and Moth Flame Optimization Algorithms (MFO) are used to analyze the economic and functional risk of the system. Additionally, it explains how the fuel cell system is employed to offset the wind farm integration's deviation in the realtime power market. Value-at-Risk (VaR) and conditional Value-at-Risk (cVaR) have been used for risk analysis. A modified IEEE 14-bus test system is considered to validate the entire study whereas any small, large as well as hybrid systems can be considered to perform this methodology.

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Section: Artificial Bee Colony Algorithm (Abc)mentioning

confidence: 99%

Section: Moth Flame Optimization Algorithmmentioning

confidence: 99%

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Risk Mitigation & Profit Improvement of a Wind-Fuel Cell Hybrid System With TCSC Placement

Basu¹,

Dawn

Saha³

et al. 2023

IEEE Access

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“…Here, imbalance arises due to the variations of predicted wind speed and actual wind speed of the system. In a wind farm integrated system, to minimize the system risk and to minimize the system generation cost, pumped hydro storage systems are optimally placed in the power system by using an artificial bee colony (ABC) algorithm and a moth flame optimization (MFO) algorithm [30].…”

Section: Introductionmentioning

confidence: 99%

A Strategy for System Risk Mitigation Using FACTS Devices in a Wind Incorporated Competitive Power System

et al. 2022

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Electricity demand is sharply increasing with the growing population of human beings. Due to financial, social, and political barriers, there are lots of difficulties when building new thermal power plants and transmission lines. To solve this problem, renewable energy sources and flexible AC transmission systems (FACTS) can operate together in a power network. Renewable energy sources can provide additional power to the grid, whereas FACTS devices can increase the thermal limit of existing transmission lines. It is always desirable for an electrical network to operate under stable and secure conditions. The system runs at risk if any abnormality occurs in the generation, transmission, or distribution sections. This paper outlines a strategy for reducing system risks via the optimal operation of wind farms and FACTS devices. Here, a thyristor-controlled series compensator (TCSC) and a unified power flow controller (UPFC) have both been considered for differing the thermal limit of transmission lines. The impact of the wind farm, as well as the combined effect of the wind farm and FACTS devices on system economy, were investigated in this work. Both regulated and deregulated environments have been chosen to verify the proposed approach. Value at risk (VaR) and cumulative value at risk (CVaR) calculations were used to evaluate the system risk. The work was performed on modified IEEE 14 bus and modified IEEE 30-bus systems. A comparative study was carried out using different optimization techniques, i.e., Artificial Gorilla Troops Optimizer Algorithm (AGTO), Honey Badger Algorithm (HBA), and Sequential Quadratic Programming (SQP) to check the effect of renewable integration in the regulated and deregulated power systems in terms of system risk and operating cost.

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“…Since the advances in wind power technology, the extensive WPPs, composed of variable speed wind turbine generators (VSWTG), have gradually replaced the traditional synchronous generators to connect to the grid, and the PMSG-based wind turbine is a typical VSWTG [1][2][3]. The decoupling of the mechanical speed of WTG and the frequency of the power system causes the equivalent inertia of the grid to reduce, which has an adverse effect on the frequency security and grid stability [4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Frequency Control Strategy for PMSG-Based Wind Power Plant Considering Releasable Reserve Power

et al. 2022

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Wind power plants (WPPs) are required to provide primary frequency regulation services when a high proportion of wind power is connected to the grid. The reserve power of wind turbine generators (WTGs), including rotor kinetic energy and deloading power, is determined by its current rotor speed and active power, thus, different frequency regulation levels of WTGs will be formed because of the variable wind speed and the wake effect in a WPP. This article proposes an adaptive frequency control strategy considering releasable reserve power that can enhance the frequency regulation capacity in the permanent magnet synchronous generator (PMSG)-based WPP. The inertial control gains of frequency controller for PMSGs are adjusted adaptively, resting with the releasable kinetic energy, which is a function of current rotor speed. Moreover, primary frequency control gains are adjusted adaptively, resting with the releasable deloading power, which is a function of the current active power, thus, a PMSG operating at a higher rotor speed and active power can release more rotor kinetic energy and deloading power to provide greater frequency regulation capability. The proposed adaptive frequency control strategy is tested using a PSCAD/EMTDC simulator. The simulation analysis indicates that the reserve power of PMSGs in WPP can be utilized effectively while ensuring their stable operation. Meanwhile, the frequency regulation capability would be further enhanced.

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An Economic Risk Analysis in Wind and Pumped Hydro Energy Storage Integrated Power System Using Meta-Heuristic Algorithm

Cited by 32 publications

References 30 publications

Risk Mitigation & Profit Improvement of a Wind-Fuel Cell Hybrid System With TCSC Placement

Risk Mitigation & Profit Improvement of a Wind-Fuel Cell Hybrid System With TCSC Placement

A Strategy for System Risk Mitigation Using FACTS Devices in a Wind Incorporated Competitive Power System

Adaptive Frequency Control Strategy for PMSG-Based Wind Power Plant Considering Releasable Reserve Power

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