Renewable energy integration in modern deregulated power system

Asija, Divya; Viral, Rajkumar

doi:10.1016/b978-0-12-824337-4.00013-8

Cited by 9 publications

(7 citation statements)

References 2 publications

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“…Instead, the decision was made to reset the index once every 900 steps, equivalent to once every fifteen minutes. This interval aligns with the standard trading interval observed in the electricity market [39,40]. Table 8.…”

Section: Variablesupporting

confidence: 84%

“…Electricity prices change during the day, so it is necessary to adapt to them [37,38]. Mostly, the price is set using an auction-based system, which can be on a different time horizon in Europe; it is usually a 15-min trading interval [39,40]. In order to build such power plants, which will have the lowest possible costs, it is necessary to consider changes in energy prices as well as other costs associated with the operation of generators and the entire energy network.…”

Section: State Of the Artmentioning

confidence: 99%

“…The weather data stated in (40) were linearly interpolated to obtain 86,400 samples. Acquired data in this way were used as input for Sections 4.1.1 and 4.1.2 from which the actual power provided at a distinct moment was calculated.…”

Section: Example 3-response To Real Weather Forecast Datamentioning

confidence: 99%

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A Robust Distributed Algorithm for Solving the Economic Dispatch Problem with the Penetration of Renewables and Battery Systems

Kubicek,

Cech,

Strelec

2024

Applied Sciences

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In the field of energy networks, for their effective functioning, it is necessary to distribute the required load between all online generating units in a proper way to cover the demand. The load schedule is obtained by solving the so-called Economic Dispatch Problem (EDP). The EDP can be solved in many ways, resulting in a power distribution plan between online generating units in the network so that the resulting price per unit of energy is minimal. This article focuses on designing a distributed gradient algorithm for solving EDP, supplemented by models of renewable sources, Battery Energy Storage System (BESS), variable fuel prices, and consideration of multiple uncertainties at once. Specifically, these are: time-variable transport delays, noisy gradient calculation, line losses, and drop-off packet representations. The algorithm can thus be denoted as robust, which can work even in unfavorable conditions commonly found in real applications. The capabilities of the presented algorithm will be demonstrated and evaluated on six examples.

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Section: Variablesupporting

confidence: 84%

Section: State Of the Artmentioning

confidence: 99%

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A Robust Distributed Algorithm for Solving the Economic Dispatch Problem with the Penetration of Renewables and Battery Systems

Kubicek,

Cech,

Strelec

2024

Applied Sciences

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“…Specific governmental organizations, which are referred to as regulators in this context, are tasked with the responsibility of exercising regulatory control over the entire power grid including ISTMGs. These bodies have been given the responsibility of ensuring that the grid components (including ISTMGs) function in a manner that is compliant with the applicable laws and the legal limits [77]. They define requirements for the operation of MGs and ISTMGs relating to safety, energy efficiency, and environmental sustainability.…”

Section: Regulatorsmentioning

confidence: 99%

Interconnected Smart Transactive Microgrids—A Survey on Trading, Energy Management Systems, and Optimisation Approaches

Machele,

Onumanyi,

Abu-Mahfouz

et al. 2024

JSAN

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The deployment of isolated microgrids has witnessed exponential growth globally, especially in the light of prevailing challenges faced by many larger power grids. However, these isolated microgrids remain separate entities, thus limiting their potential to significantly impact and improve the stability, efficiency, and reliability of the broader electrical power system. Thus, to address this gap, the concept of interconnected smart transactive microgrids (ISTMGs) has arisen, facilitating the interconnection of these isolated microgrids, each with its unique attributes aimed at enhancing the performance of the broader power grid system. Furthermore, ISTMGs are expected to create more robust and resilient energy networks that enable innovative and efficient mechanisms for energy trading and sharing between individual microgrids and the centralized power grid. This paradigm shift has sparked a surge in research aimed at developing effective ISTMG networks and mechanisms. Thus, in this paper, we present a review of the current state-of-the-art in ISTMGs with a focus on energy trading, energy management systems (EMS), and optimization techniques for effective energy management in ISTMGs. We discuss various types of trading, architectures, platforms, and stakeholders involved in ISTMGs. We proceed to elucidate the suitable applications of EMS within such ISTMG frameworks, emphasizing its utility in various domains. This includes an examination of optimization tools and methodologies for deploying EMS in ISTMGs. Subsequently, we conduct an analysis of current techniques and their constraints, and delineate prospects for future research to advance the establishment and utilization of ISTMGs.

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“…Electricity prices in a deregulated power system, such as the European, are determined by market players who consider the supply and demand of electricity. The most common market type is the dayahead market, where electricity trading involves buying and selling electricity the day before the actual production and delivery [3]. The price structure of all market transactions is established through the analysis of all supply and demand bids.…”

Section: Introductionmentioning

confidence: 99%

Optimal Battery Energy Storage Dispatch for the Day-Ahead Electricity Market

Gonzalez-Saenz,

Becerra

2024

Preprint

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This work presents an innovative application of optimal control theory to the strategic scheduling of battery storage in the day-ahead electricity market, with a focus on enhancing profitability while factoring in battery degradation. The study incorporates in the optimisation framework the cost of battery capacity degradation, the effects of capacity degradation and internal resistance degradation into dynamics. We employ a continuous-time representation of the dynamics, in contrast with many other studies that use a discrete-time approximation with rather coarse intervals. We adopt an equivalent circuit model coupled with empirical degradation parameters to simulate a battery cell’s behaviour and degradation mechanisms with good support from experimental data. Utilising direct collocation methods with mesh refinement allows for precise numerical solutions to the complex, nonlinear dynamics involved. Through a detailed case study of Belgium’s day-ahead electricity market, we determine the optimal charging and discharging schedules under varying objectives: maximizing net revenues, profits considering capacity degradation, and profits considering both capacity degradation and internal resistance increase due to degradation. The results demonstrate the viability of our approach and underscore the significance of integrating degradation costs into the market strategy for battery operators, alongside its effects on the battery’s dynamic behaviour. Our methodology extends previous work by offering a more comprehensive model that empirically captures the intricacies of battery degradation, including a fine and adaptive time domain representation, focusing on the day-ahead market, and utilising accurate direct methods for optimal control. The paper concludes with insights into the potential of optimal control applications in energy markets and suggestions for future research avenues.

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Renewable energy integration in modern deregulated power system

Cited by 9 publications

References 2 publications

A Robust Distributed Algorithm for Solving the Economic Dispatch Problem with the Penetration of Renewables and Battery Systems

A Robust Distributed Algorithm for Solving the Economic Dispatch Problem with the Penetration of Renewables and Battery Systems

Interconnected Smart Transactive Microgrids—A Survey on Trading, Energy Management Systems, and Optimisation Approaches

Optimal Battery Energy Storage Dispatch for the Day-Ahead Electricity Market

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