Aggregating Additional Flexibility From Quick-Start Devices for Multi-Energy Virtual Power Plants

Zhao, Haotian; Wang, Bin; Zhang, Pan; Sun, Hongbin; Guo, Qinglai; Xue, Yixun

doi:10.1109/tste.2020.3014959

Cited by 44 publications

(23 citation statements)

References 29 publications

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“…On the other hand, this enables the utilities to meet the load requirements of their customers with more production from the RES, thereby leading to a cheaper, more reliable and a more flexible power supply. The role of VPP in the improvement of power system flexibility is reported in [110,[158][159][160][161][162]. Reference [158] provides a definition and the types and concepts of VPP in power systems and the flexibility benefits of VPP and their impact on power systems are discussed in [159,160].…”

Section: Economic Impact On Flexibility Improvementmentioning

confidence: 99%

“…The role of VPP in the improvement of power system flexibility is reported in [110,[158][159][160][161][162]. Reference [158] provides a definition and the types and concepts of VPP in power systems and the flexibility benefits of VPP and their impact on power systems are discussed in [159,160]. However, studies have discussed the importance of VPP and the transformation of the microgrid to VPP [161] and the ESS have been considered as important components of both systems, even after the transformation.…”

Section: Economic Impact On Flexibility Improvementmentioning

confidence: 99%

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A Review of Improvements in Power System Flexibility: Implementation, Operation and Economics

et al. 2022

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This study presents a literature review on the concept of power system flexibility in terms of its definition, indices, algorithms, implementation, economic impacts, operational impacts, and security. Although there are tremendous reviews on this subject in the literature, each paper discusses specific aspects of flexibility. Moreover, the literature is devoid of a comprehensive review of the latest improvements in terms of implementation, operation, and economics, which are addressed by the collections presented in this study. This paper, therefore, surveys some improvements that have been made in recent decades. Furthermore, we highlight the impact of the high penetration of renewable energy and energy storage systems towards enhancing the improvement of power system flexibility.

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Section: Economic Impact On Flexibility Improvementmentioning

confidence: 99%

Section: Economic Impact On Flexibility Improvementmentioning

confidence: 99%

A Review of Improvements in Power System Flexibility: Implementation, Operation and Economics

et al. 2022

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“…Thus, the current literature analyzes the real cases of VPPs. The international examples are in, e.g., United Kingdom [6], Denmark [7], Ireland [8], Greece [9], Germany [10], China [11], India [12], Australia [13], and South Korea [14]. The range of VPP functioning is wide.…”

Section: Introductionmentioning

confidence: 99%

A Case Study on Data Mining Application in a Virtual Power Plant: Cluster Analysis of Power Quality Measurements

et al. 2021

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One of the recent trends that concern renewable energy sources and energy storage systems is the concept of virtual power plants (VPP). The majority of research now focuses on analyzing case studies of VPP in different issues. This article presents the investigation that is based on a real VPP. That VPP operates in Poland and consists of hydropower plants (HPP), as well as energy storage systems (ESS). For specific analysis, cluster analysis, as a representative technique of data mining, was selected for power quality (PQ) issues. The used data represents 26 weeks of PQ multipoint synchronic measurements for 5 related to VPP points. The investigation discusses different input databases for cluster analysis. Moreover, as an extension to using classical PQ parameters as an input, the application of the global index was proposed. This enables the reduction of the size of the input database with maintaining the data features for cluster analysis. Moreover, the problem of the optimal number of cluster selection is discussed. Finally, the assessment of clustering results was performed to assess the VPP impact on PQ level.

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“…This modified VPP, which involves more different forms of energy, for example, heat and electricity, can participate in the thermal market and the electricity market. 9 Additionally, the demand response program (DR), which is a practical solution for managing electricity consumption in peak hours, could be applied to boost the overall efficiency of VPPs. 10,11 However, with the advent of VMEPs, the existing DR programs have not been able to promote consumption patterns of multi-energy consumers, and the concept of multi-energy DR program has been formed, in which not only electrical consumers but also other kinds of energy consumers, for example, heating and cooling loads are able to change their original usage behaviors in response to varying energy prices over time.…”

Section: Introductionmentioning

confidence: 99%

Robust self‐scheduling of a virtual multi‐energy plant in thermal and electricity markets in the presence of multi‐energy flexible technologies

Pezhmani

Mirzaei

Zare

et al. 2021

Intl J of Energy Research

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Virtual power plant (VPP) aggregates a diverse set of renewable energy sources, energy storages, and flexible loads to operate them as a single power plant in the energy markets. With the advent of multi-energy systems, the operation and mechanism of traditional VPPs are enhanced for acting in multiple markets and providing more flexibility for energy management systems.In this work, a robust optimization method is proposed for optimal selfscheduling of a new VPP termed as a virtual multi-energy plant (VMEP) in electricity and thermal markets in the presence of different energy storages.The proposed VMEP consists of wind turbines, heat-only units, combined heat and power units, photovoltaic panels, electrical energy storages, and thermal storages. Also, thermal and electrical price-based demand response (DR) programs are employed to shift the multi-carrier energy demand of the VMEP's consumers into low price periods. In addition, a robust decisionmaking model is implemented to deal with the uncertainty of electricity market prices in the optimal self-scheduling of the VMEP without the need for a probability distribution function. The simulation results demonstrate that the implementation of multi-energy DR programs can increase the VMEP's daily profit by about 8.5%. Additionally, the economic performance of the VMEP in multi-energy markets is enhanced up to 10.5% by utilizing multi-carrier energy storages. K E Y W O R D Scombined heat and power systems, multi-carrier energy storage, multi-energy demand response, robust optimization, virtual power plant

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Aggregating Additional Flexibility From Quick-Start Devices for Multi-Energy Virtual Power Plants

Cited by 44 publications

References 29 publications

A Review of Improvements in Power System Flexibility: Implementation, Operation and Economics

A Review of Improvements in Power System Flexibility: Implementation, Operation and Economics

A Case Study on Data Mining Application in a Virtual Power Plant: Cluster Analysis of Power Quality Measurements

Robust self‐scheduling of a virtual multi‐energy plant in thermal and electricity markets in the presence of multi‐energy flexible technologies

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