Distributionally robust operation for integrated rural energy systems with broiler houses

Tan, Hong; Yan, Wei; Ren, Zhouyang; Wang, Qiujie; Mohamed, Mohamed A.

doi:10.1016/j.energy.2022.124398

Cited by 29 publications

(9 citation statements)

References 21 publications

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“…Information related to renewable energy resources is described in detail in [33,34]. In addition, the electrical grid structure based on the IEEE 24-bus test system was defined in accordance with [35,36].…”

Section: Simulation Resultsmentioning

confidence: 99%

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An Effective Hybrid-Energy Framework for Grid Vulnerability Alleviation under Cyber-Stealthy Intrusions

et al. 2022

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In recent years, the occurrence of cascading failures and blackouts arising from cyber intrusions in the underlying configuration of power systems has increasingly highlighted the need for effective power management that is able to handle this issue properly. Moreover, the growing use of renewable energy resources demonstrates their irrefutable comparative usefulness in various areas of the grid, especially during cascading failures. This paper aims to first identify and eventually protect the vulnerable areas of these systems by developing a hybrid structure-based microgrid against malicious cyber-attacks. First, a well-set model of system vulnerability indices is presented to indicate the generation unit to which the lines or buses are directly related. Indeed, we want to understand what percentage of the grid equipment, such as the lines, buses, and generators, are vulnerable to the outage of lines or generators arising from cyber-attacks. This can help us make timely decisions to deal with the reduction of the vulnerability indices in the best way possible. The fact is that employing sundry renewable resources in efficient areas of the grid can remarkably improve system vulnerability mitigation effectiveness. In this regard, this paper proposes an outstanding hybrid-energy framework of AC/DC microgrids made up of photovoltaic units, wind turbine units, tidal turbine units, and hydrogen-based fuel cell resources, all of which are in grid-connect mode via the main grid, with the aim to reduce the percentage of the system that is vulnerable. To clearly demonstrate the proposed solution’s effectiveness and ease of use in the framework, a cyber-attack of the false data injection (FDI) type is modeled and developed on the studied system to corrupt information (for instance, via settings on protective devices), leading to cascading failures or large-scale blackouts. Another key factor that can have a profound impact on the unerring vulnerability analysis concerns the uncertainty parameters that are modeled by the unscented transform (UT) in this study. From the results, it can be inferred that vulnerability percentage mitigation can be achieved by the proposed hybrid energy framework based on its effectiveness in the system against the modeled cyber-attacks.

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Section: Simulation Resultsmentioning

confidence: 99%

“…Therefore, we here define the power balance via (38) and (39). The generation units are subject to constraints (34) and (35). Note that ramping constraints for the generators must always be considered to prevent probable technical damage due to load fluctuations.…”

Section: The Mathematical Formulation Of the Main Gridmentioning

confidence: 99%

An Effective Hybrid-Energy Framework for Grid Vulnerability Alleviation under Cyber-Stealthy Intrusions

et al. 2022

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“…To reduce energy consumption due to climate control, improve indoor climate conditions, and decrease the dependence of livestock systems on fossil fuels, new solutions have been studied in recent years, with a focus on passive solutions [16,17] or the implementation of renewable energy technologies, such as geothermal [18] and aerothermal [19] heat pumps, photovoltaic panels [20], and biogas-fed combined heat and power units (CHPs) [21]. Evaluating the effectiveness and the potential of these solutions is a challenging task, typically accomplished via experiments or numerical simulations, which are often performed using Building Energy Simulation (BES) models.…”

Section: Building Energy Simulation (Bes) Models For Livestock Housesmentioning

confidence: 99%

Development, Validation, and Application of Building Energy Simulation Models for Livestock Houses: A Systematic Review

Costantino

2023

Agriculture

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The need to improve the sustainability of intensive livestock farming has led to an increasing adoption of Building Energy Simulation (BES) models for livestock houses. However, a consolidated body of knowledge specifically dedicated to these models is lacking in literature. This gap represents a significant obstacle to their widespread application and scalability in research and industry. The aim of this work is to pave the way for scaling the adoption of BES models for livestock houses by providing a comprehensive analysis of their application, development, and validation. For this aim, a systematic review of 42 papers—selected from over 795 results from the initial database query—is carried out. The findings underscored a growing body of research that involves BES models for different purposes. However, a common approach in both model development and validation is still lacking. This issue could hinder their scalability as a standard practice, especially in industry, also considering the limitations of BES models highlighted in this work. This review could represent a solid background for future research since provides an up-to-date framework on BES models for livestock houses and identifies future research opportunities. Moreover, it contributes to increasing the reliability of BES models for livestock houses by providing some recommendations for their validation.

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“…Reference [5] allows full play to the unique superiority of rural areas and designs a hybrid power system integrating biomass and renewable energy. Domestic scholars have also studied the integrated energy system in rural areas [6][7][8][9][10][11] . However, a comprehensive analysis of the above literature shows that the existing studies only focus on a specific rural area without considering the characteristics of different regions.…”

Section: Introductionmentioning

confidence: 99%

Research on Capacity Allocation Method for Multi-scenario Rural Integrated Energy System

Feng

Wang

et al. 2023

J. Phys.: Conf. Ser.

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As an significant part of China’s energy system, rural energy has ushered in significant development opportunities in the national strategy of Rural Revitalization and new urbanization construction. On account of the differences in the geographical location of China, different rural areas have different economic statuses and characteristics, so it is essential to allocate the corresponding comprehensive energy system for different regional advantages, which is that the energy supply system can satisfy the load demand in rural areas. To solve the above problems, the investigation on the development scenario of village energy differentiation, considering economic, environmental protection and energy saving, puts forward the optimization allocation method of comprehensive rural energy under the differential scenario. The capacity allocation method of the rural comprehensive energy system put forward in this text is verified by selecting three villages with typical scenarios in China.

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Distributionally robust operation for integrated rural energy systems with broiler houses

Cited by 29 publications

References 21 publications

An Effective Hybrid-Energy Framework for Grid Vulnerability Alleviation under Cyber-Stealthy Intrusions

An Effective Hybrid-Energy Framework for Grid Vulnerability Alleviation under Cyber-Stealthy Intrusions

Development, Validation, and Application of Building Energy Simulation Models for Livestock Houses: A Systematic Review

Research on Capacity Allocation Method for Multi-scenario Rural Integrated Energy System

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