Optimal planning and scheduling of energy hub in presence of wind, storage and demand response under uncertainty

Pazouki, Samaneh; Haghifam, Mahmoud‐Reza

doi:10.1016/j.ijepes.2016.01.044

Cited by 278 publications

(154 citation statements)

References 23 publications

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“…Various studies have been done on the modeling, energy optimization, and optimal planning of energy hubs. Then, renewable energies and electrical/thermal storages integration in the energy hubs have been investigated . PV and wind power stochastic nature led to uncertainty modeling studies in Huo et al and Brahman et al Multiple energy sources enable the customers to participate in DR programs and supply the load with lower cost.…”

Section: Cloud‐based Energy Management‐related Modelsmentioning

confidence: 99%

A survey on cloud computing in energy management of the smart grids

Allahvirdizadeh

Moghaddam

Shayanfar

2019

Int Trans Electr Energ Syst

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Summary Smart grid mitigates the environmental concerns associated with the global warming and climate shifting and reduces the dependence of the power generation on conventional fossil fuels. This is done by energy efficiency improvement and renewable energy sources exploitation at large scales in the form of centralized systems as well as small‐scale systems in the form of microgrids and nanogrids. However, smart grid technology brings new challenges to the big data management of the new power system construction. Additionally, due to the large‐scale intermittent distributed renewable resources contribution and stochastic electric vehicles integration, the current energy management systems must undergo some improvements to handle the smart grid requirements. Cloud computing, as an intermittent based on‐demand computing model, serves an emerging solution to the aforementioned challenges. As a result, this paper presents a survey study on the smart grid and state of art energy management methods and the necessitation of the cloud computing incorporation in smart grid energy management. Then, the application of the cloud computing in energy management, demand side management programs, building energy management systems, energy hubs, and power dispatching systems have been discussed and associated models are addressed.

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Section: Cloud‐based Energy Management‐related Modelsmentioning

confidence: 99%

A survey on cloud computing in energy management of the smart grids

Allahvirdizadeh

Moghaddam

Shayanfar

2019

Int Trans Electr Energ Syst

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“…It was showed that an effective option to increase local renewable energy production is to convert surplus electricity into other kinds of energy like thermal energy [22]- [24] and the work is implemented with different modelling approaches and simulation tools [25]. However, these research works only analyze the integration of solar [26], [27], wind [28]- [30] and biomass [31] sources. To the authors' knowledge, the integration of SGP production within an urban energy hub has not been analyzed yet and is therefore an interesting option to be fully explored.…”

Section: Post-print Of the Article Pubblished Inmentioning

confidence: 99%

A methodology for assessing the impact of salinity gradient power generation in urban contexts

Cipollina

Silvestre

Giacalone

et al. 2018

Sustainable Cities and Society

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-The paper proposes a methodology to assess the potential impact of salinity gradient power technology in urban contexts. The idea to employ such energy source in urban contexts derives from the observation that, among the energy districts outputs, low-salinity treated wastewater can be used to produce electricity if a suitable source of high salinity feed (seawater of a salt-works) is also available.The methodology uses the HOMER software for assessing the district's electric energy production, consumption and exchange with the main grid. Then, starting from the total gross surface and the number of inhabitants of the district, some possible realistic scenarios characterized by different wastewater flow rate are defined. Finally, for each scenario the size and the yearly energy production of the salinity gradient power system are calculated thanks to a simulator carried out by the same authors.An application example, considering three different scenarios, shows that urban density plays a crucial role in the process and that the most promising realistic scenarios are those including treated wastewater and brine and unlimited seawater and brine.The economic feasibility of the salinity gradient power technology is evaluated by a comparison with classical renewable technologies such as photovoltaic and wind systems.

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“…[15,16]. Energy management system improves the availability and security of the system itself with optimized utilization efficiency of renewable energy sources and solutions to electricity defects, and strives to maximize efficiency and optimize environmental costs [17,18].…”

Section: Optimal Content Based On Regional Integrated Energy Managemementioning

confidence: 99%

The Optimization of Distributed Photovoltaic Comprehensive Efficiency Based on the Construction of Regional Integrated Energy Management System in China

Long

Tan

et al. 2016

Sustainability

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Abstract:In the context of energy crisis, environmental pollution, and energy abandoning in the large-scale centralized clean energy generation, distributed energy has become an inevitable trend in the development of China's energy system. Distributed photovoltaic boasts great potential for development in China due to resource advantages and policy support. However, we need improve the efficiency of photovoltaic generation, which is restricted by technology and dislocation of supply and demand. With a view to optimizing the efficiency of distributed photovoltaic, based on the concept of comprehensive efficiency, this paper discusses the influencing factors and chooses the optimization direction according to system dynamics (SD). The optimizing content is further clarified on the basis of energy management system. From the perspective of technology, this paper puts forward optimization methods from resource side, energy conversion and demand side, and the simulation results of applying the three methods verify the feasibility of the method. Comprehensive efficiency would be improved as the result of regional integrated energy management system and policy mechanisms. The conclusions of this paper will provide theoretical basis and optimized reference for the improvement of distributed photovoltaic comprehensive utilization in China.

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Optimal planning and scheduling of energy hub in presence of wind, storage and demand response under uncertainty

Cited by 278 publications

References 23 publications

A survey on cloud computing in energy management of the smart grids

A survey on cloud computing in energy management of the smart grids

A methodology for assessing the impact of salinity gradient power generation in urban contexts

The Optimization of Distributed Photovoltaic Comprehensive Efficiency Based on the Construction of Regional Integrated Energy Management System in China

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