Technoeconomic analysis of a grid-connected PV and battery energy storage system considering time of use pricing

Nayak, Chinmay Kumar; Nayak, Manas Ranjan

doi:10.3906/elk-1703-35

Cited by 22 publications

(3 citation statements)

References 20 publications

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“…With regard to TOU pricing schemes in particular, several studies now exist on TOU pricing in retail electricity markets focusing mainly on how consumers respond to TOU tariffs (e.g., [58,59]), the structural design of TOU schemes (e.g., [60,61]), effects of TOU rates (e.g., [62]), and how TOU pricing models interact with distributed power resources (e.g., [63,64]). However, the impacts of growth in variable renewable energy expansion on the TOU price formation process in the presence of consumer demand response has not been studied.…”

Section: Review Of Relevant Literaturementioning

confidence: 99%

Implications of Growing Wind and Solar Penetration in Retail Electricity Markets with Gradual Demand Response

Hao,

Wesseh,

Okorie

et al. 2023

Energies

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Time-of-use pricing in retail electricity markets implies that wholesale market scarcity becomes easily communicated to end consumers. Yet, it is not well-understood if and how the price formation process in retail electricity markets will help to reward the demand for operational flexibility due to growth in intermittent generation. To contribute to this discussion, this paper develops a partial equilibrium model of the retail electricity market calibrated to Chinese data. The paper finds that tariffs in this market may not be significantly suppressed by growth in near-zero costs renewable sources when controlling for flexibility restrictions on thermal generation assets and when a significant curtailment of variable renewable resources exists in the market. In addition, it shows that the price formation process in retail electricity markets which controls for flexibility restrictions on thermal generation while allowing for consumers to respond slowly to price changes is a feasible strategy to reward the demand for operational flexibility. Finally, the paper reveals that while integrating intermittent generation beyond levels which the available storage capacities can accommodate may result in losses to producers, benefits to consumers may offset these losses, leading to overall welfare gains.

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Section: Review Of Relevant Literaturementioning

confidence: 99%

Implications of Growing Wind and Solar Penetration in Retail Electricity Markets with Gradual Demand Response

Hao,

Wesseh,

Okorie

et al. 2023

Energies

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“…In a smart grid operating environment, these groups of generators are varying with time, especially with the integration of the stochastic renewable energy resources Nayak & Nayak, (2018). Thus, it is crucial to identify the real-time coherency group of the generator to provide an accurate control measures following a disturbance in the system.…”

Section: Introductionmentioning

confidence: 99%

A new intelligent time series prediction technique for coherency identification performance enhancement

Ariff

2021

KJS publishes peer-review articles in Mathematics, Computer Sci

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The manuscript proposes a time series prediction technique to enhance the response time of the coherency identification technique. The proposed methodology utilizes the nonlinear autoregressive exogenous neural network (NARX) algorithm to predict the generator speed deviations following a disturbance in the system. Consequently, the coherency identification technique based on independent component analysis (ICA) is utilized on the predicted system responses. The effectiveness of the proposed approach is demonstrated on of the IEEE 16-generator 68-bus test system model. The result shows that the proposed technique can predict 0:2s following a disturbance in the system accurately. Therefore, the NARX allows a 0:2s head start for the ICA to determine the real-time coherent generator group in the system. Furthermore, the result shows that the proposed approach can identify the coherent group of generators based on the predicted generator speed deviation in all cases considered in this study, accurately. Conclusively, the result implies that the proposed technique can speed up the overall coherency identification process in a power system operation.

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“…From another perspective, energy storage systems (ESSs), such as batteries [19,20], flywheels [21,22], pumped hydro [23,24], etc., were employed in the literature for solving the frequency and voltage fluctuation problems. This can be done through charging and discharging operations of the ESSs to balance the power between RERs and loads.…”

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confidence: 99%

A robust SMES control for enhancing stability of distribution systems fed from intermittent wind power generation

Said¹,

Aly²,

Hartmann³

2019

Turk J Elec Eng & Comp Sci

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The voltage and frequency stability issues of power systems are the main challenges that arise from high penetration levels of wind energy systems. This paper presents an effective solution for voltage and frequency stability problems by using a superconducting magnetic energy storage (SMES) system controlled with a fuzzy logic controller (FLC). The proposed control system can suppress the voltage and frequency fluctuations due to the high variations of wind speed. In addition, the proposed control system is suitable for both balanced and unbalanced distribution systems with high penetration levels of wind turbines (WTs). A squirrel cage induction generator (SCIG) is selected in the case study, which represents the worst scenario of WT generation from the voltage and frequency stability aspects. This is due to the high reactive power consumed by the SCIG from the utility grid during steady state and voltage fluctuations that may lead to harmful consequences for power system components. The proposed control method is validated using the IEEE 33-bus radial distribution network (RDN), wherein the SMES and WT systems are connected to the weakest points of the RDN. The obtained results demonstrate the superior performance of the proposed FLC-SMES system for alleviating the voltage and frequency fluctuations of the distribution power system during high variations of wind power.

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Technoeconomic analysis of a grid-connected PV and battery energy storage system considering time of use pricing

Cited by 22 publications

References 20 publications

Implications of Growing Wind and Solar Penetration in Retail Electricity Markets with Gradual Demand Response

Implications of Growing Wind and Solar Penetration in Retail Electricity Markets with Gradual Demand Response

A new intelligent time series prediction technique for coherency identification performance enhancement

A robust SMES control for enhancing stability of distribution systems fed from intermittent wind power generation

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