Virtual Power Plant Control concepts with Electric Vehicles

Raab, Andreas F.; Ferdowsi, Mohsen; Karfopoulos, Evangelos; Unda, Iñaki Grau; Skarvelis‐Kazakos, Spyros; Papadopoulos, Panagiotis; Abbasi, Ehsan; Cipcigan, Liana; Jenkins, Nick; Hatziargyriou, Nikos D.; Strunz, Kai

doi:10.1109/isap.2011.6082214

Cited by 60 publications

(33 citation statements)

References 5 publications

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“…Most research works on VPP cover the topics on its structure and operation [19,20]. VPP is also applied as an important power control approach for grid integration with EVs [21,22]. In the future SG, VPP will play a more important role in power management.…”

Section: Smart Power Generationmentioning

confidence: 99%

Introduction

Wang¹,

Mao²,

Nelms³

2015

Online Algorithms for Optimal Energy Distribution in Microgrids

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Smart grid (SG) is regarded as the next-generation intelligent power grid. Smart grid provides the necessary fundamentals for power control and management in microgrid, which is considered as an important emerging application in SG. This chapter presents an introduction to the important concepts and technologies in smart grid, from two main aspects: smart grid infrastructure and smart grid applications. The smart infrastructure includes smart power system, information technology, and communication system. And smart grid applications include fundamental applications, emerging applications, and derived applications.

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Section: Smart Power Generationmentioning

confidence: 99%

Introduction

Wang¹,

Mao²,

Nelms³

2015

Online Algorithms for Optimal Energy Distribution in Microgrids

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“…Finally, three control architectures can be defined for aggregation systems with intelligent agents [13]: …”

Section: Multi-agent Systems In Energy Applicationsmentioning

confidence: 99%

“…The Hub agents then take one or more of the following actions: Electric vehicles are expected to interact heavily with and have an impact on future energy systems, through battery charging [26]. Several control approaches have been proposed for the coordination of electric vehicle charging, to minimize impact, some of which involve multi-agent systems [8], [12], [13], [14].…”

Section: Agent-based Multiple Energy Hub Interactionmentioning

confidence: 99%

“…They are classified as a distributed control architecture, which fits very well with the control of DER [9]. In addition, MAS have been proposed as an approach for controlling clusters of CHP units [11] and for the co-ordination of electric vehicle charging [12], [13], [14]. This paper presents a design approach for controlling multiple energy carriers and the associated infrastructure and conversion devices, using multi-agent systems technology.…”

Section: Introductionmentioning

confidence: 99%

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Agent-based control of multiple energy carriers and energy hubs

Skarvelis‐Kazakos

Papadopoulos²,

Unda³

2014

IEEE PES Innovative Smart Grid Technologies, Europe

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An approach is presented for controlling multiple energy carriers, such as AC and DC electricity, heat, Natural Gas, hydrogen, using the control technique of multi-agent systems. The main elements of a hierarchical control system are given and their integration with the concept of energy hubs is explained. The interactions between the different agents are described. Electric vehicles are considered as mobile resources within the overall system. Finally, the benefits of this approach are laid out.

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“…In [2] load powers over the 24 hours to help improve system security for the whole day [3]. In [4], a DR strategy as a load shaping tool is proposed to alleviate the potential new load peaks with minimal infrastructure investments.…”

Section: Introductionmentioning

confidence: 99%

Battery Energy Storage System and Demand Response Based Optimal Virtual Power Plant Operation

Chang¹,

Chang²

2017

JAMP

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With certain controllability of various distribution energy resources (DERs) such as battery energy storage system (BESS), demand response (DR) and distributed generations (DGs), virtual power plant (VPP) can suitably regulate the powers access to the distribution network. In this paper, an optimal VPP operating problem is used to optimize the charging/discharging schedule of each BESS and the DR scheme with the objective to maximize the benefit by regulating the supplied powers over daily 24 hours. The proposed solution method is composed of an iterative dynamic programming optimal BESS schedule approach and a particle swarm optimization based (PSO-based) DR scheme approach. The two approaches are executed alternatively until the minimum electricity cost of the whole day is obtained. The validity of the proposed method was confirmed with the obviously decreased supplied powers in the peak-load hours and the largely reduced electricity cost.

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Virtual Power Plant Control concepts with Electric Vehicles

Cited by 60 publications

References 5 publications

Introduction

Introduction

Agent-based control of multiple energy carriers and energy hubs

Battery Energy Storage System and Demand Response Based Optimal Virtual Power Plant Operation

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