Day-ahead resource scheduling of a renewable energy based virtual power plant

Zamani, Ali; Zakariazadeh, Alireza; Jadid, Shahram

doi:10.1016/j.apenergy.2016.02.011

Cited by 205 publications

(88 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…With enhanced exibility in energy production the biogas technology could play a signicant role in smart grid applications such as the models presented in Zamani et al, 2016), and help increase the revenues for future aggregated distributed energy resources or virtual power plants.…”

Section: Introductionmentioning

confidence: 99%

Demand-driven biogas production in anaerobic filters

Lemmer

Krümpel

2017

Applied Energy

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Demand-driven biogas production in anaerobic filters

Lemmer

Krümpel

2017

Applied Energy

View full text Add to dashboard Cite

“…However, the work does not consider DR application. The model in [57] proposes a day-ahead energy and reserve scheduling for the aggregator. The uncertainties are modeled via a point estimate method.…”

Section: Complexitymentioning

confidence: 99%

Survey on Complex Optimization and Simulation for the New Power Systems Paradigm

et al. 2018

View full text Add to dashboard Cite

This survey provides a comprehensive analysis on recent research related to optimization and simulation in the new paradigm of power systems, which embraces the so-called smart grid. We start by providing an overview of the recent research related to smart grid optimization. From the variety of challenges that arise in a smart grid context, we analyze with a significance importance the energy resource management problem since it is seen as one of the most complex and challenging in recent research. The survey also provides a discussion on the application of computational intelligence, with a strong emphasis on evolutionary computation techniques, to solve complex problems where traditional approaches usually fail. The last part of this survey is devoted to research on large-scale simulation towards applications in electricity markets and smart grids. The survey concludes that the study of the integration of distributed renewable generation, demand response, electric vehicles, or even aggregators in the electricity market is still very poor. Besides, adequate models and tools to address uncertainty in energy scheduling solutions are crucial to deal with new resources such as electric vehicles or renewable generation. Computational intelligence can provide a significant advantage over traditional tools to address these complex problems. In addition, supercomputers or parallelism opens a window to refine the application of these new techniques. However, such technologies and approaches still need to mature to be the preferred choice in the power systems field. In summary, this survey provides a full perspective on the evolution and complexity of power systems as well as advanced computational tools, such as computational intelligence and simulation, while motivating new research avenues to cover gaps that need to be addressed in the coming years.

show abstract

“…To handle the uncertainty problem, the energy production units, storage units and DRs should be coordinated by the EMS of VPP to guarantee the stability of the VPP. In [42], the energy and reserve are organized at the same time in a VPP, and the Point Estimate Method (PEM) is used for modeling the uncertainties. Ref.…”

Section: Operation Systems Of Vppmentioning

confidence: 99%

A review on the virtual power plant: Components and operation systems

Ghavidel

Aghaei

et al. 2016

2016 IEEE International Conference on Power System Technology (POWERCON)

View full text Add to dashboard Cite

Abstract--Due to the high penetration of Distributed Generations (DGs) in the network and the presently involving competition in all electrical energy markets, Virtual Power Plant (VPP) as a new concept has come into view, with the intention of dealing with the increasing number of DGs in the system and handling effectively the competition in the electricity markets. This paper reviews the VPP in terms of components and operation systems. VPP fundamentally is composed of a number of DGs including conventional dispatchable power plants and intermittent generating units along with possible flexible loads and storage units. In this paper, these components are described in an all-inclusive manner, and some of the most important ones are pointed out. In addition, the most important anticipated outcomes of the two types of VPP, Commercial VPP (CVPP) and Technical VPP (TVPP), are presented in detail. Furthermore, the important literature associated with Combined Heat and Power (CHP) based VPP, VPP components and modeling, VPP with Demand Response (DR), VPP bidding strategy, and participation of VPP in electricity markets are briefly classified and discussed in this paper.

show abstract

Day-ahead resource scheduling of a renewable energy based virtual power plant

Cited by 205 publications

References 41 publications

Demand-driven biogas production in anaerobic filters

Demand-driven biogas production in anaerobic filters

Survey on Complex Optimization and Simulation for the New Power Systems Paradigm

A review on the virtual power plant: Components and operation systems

Contact Info

Product

Resources

About