Optimal operation of a virtual power plant

Lombardi, Pio; Powalko, M.; Rudion, Krzysztof

doi:10.1109/pes.2009.5275995

Cited by 105 publications

(56 citation statements)

References 1 publication

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“…To deal with these problems, to maximize the profit of VPP the coordination of decision-making units embedded in DERs using novel software is proposed in [7]. An energy management system (EMS) of VPPs with a cluster of small-scale generation units, storage systems and flexible loads is proposed in [8]. With the technology of state-ofthe-art communication, a multitude of DERs can be coordinated and controlled by EMS while on the other hand a VPP in reality is not a physical power plant.…”

Section: Introductionmentioning

confidence: 99%

A Bidding Model for a Virtual Power Plant via Robust Optimization Approach

Geng¹,

Li²,

Ding³

et al. 2017

MATEC Web Conf.

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Abstract. The evolution of the energy markets has been accelerating the use of distributed energy resources (DERs) all over the world. Virtual power plant (VPP) is a new method to management this increasing two-way complexity. In this paper, a bidding model for a VPP via robust optimization in the uncertain environment of the electricity market is presented. The flexible feature embedded in the model with respect to solution accuracy and computation burden would be advantageous to the VPP. Results of a case study are provided to show the applicability of the proposed bidding model.

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Section: Introductionmentioning

confidence: 99%

A Bidding Model for a Virtual Power Plant via Robust Optimization Approach

Geng¹,

Li²,

Ding³

et al. 2017

MATEC Web Conf.

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“…To improve the performance of EMS, optimal control is a useful method to schedule power flows of hybrid systems with minimum cost and maximum benefit [15,16]. In [17], an EMS for a virtual power plant was proposed to minimize the electricity generation cost and to utilize renewable energy sufficiently. Authors in [18] presented a dynamic optimal power flow control for power and heat generation scheduling while considering PV generations coupled with storage systems.…”

Section: Introductionmentioning

confidence: 99%

Demand side management of photovoltaic-battery hybrid system

2015

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In the electricity market, customers have many choices to reduce electricity cost if they can economically schedule their power consumption. Renewable hybrid system, which can explore solar or wind sources at low cost, is a popular choice for this purpose nowadays. In this paper optimal energy management for a grid-connected photovoltaic-battery hybrid system is proposed to sufficiently explore solar energy and to benefit customers at demand side. The management of power flow aims to minimize electricity cost subject to a number of constraints, such as power balance, solar output and battery capacity. With respect to demand side management, an optimal control method (open loop) is developed to schedule the power flow of hybrid system over 24 hours, and model predictive control is used as a closed-loop method to dispatch the power flow in real-time when uncertain disturbances occur. In these two kinds of applications, optimal energy management solutions can be obtained with great cost savings and robust control performance.

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“…From a technical standpoint, VPP is usually defined as a system that operates a single VPP by integrating numerous dispersed power sources. From technology and market perspectives, VPP is defined as a system or structure that combines dispersed resources through a real-time linkage to make them tradable [1,2]. This study analyzes the economic efficiency of power generation from emergency generator resources based on the VPP concept in South Korea.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Virtual Power Plant Model Based on the Use of Emergency Generators in South Korea

Chung¹,

Kim²,

Son³

2016

Journal of Electrical Engineering and Technology

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-This study analyzes the economic efficiency of the virtual power plant (VPP) model that aims to integrate a number of emergency generators installed at the consumer end and operate them as a single power plant. Several factors such as the demand response benefits from VPP operation and costs incurred for converting emergency generators into VPP are considered to assess the economic efficiency of the proposed VPP model. Scenarios for yearly VPP conversion are prepared based on the installed capacities of the emergency generators distributed in South Korea, while the costs and benefits are calculated from the viewpoints of participants and power companies in accordance with California Test Methods. Furthermore, a sensitivity analysis is conducted on the cost factors among those affecting the economic efficiency of VPP business because these two factors have a great impact on benefits.

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Optimal operation of a virtual power plant

Cited by 105 publications

References 1 publication

A Bidding Model for a Virtual Power Plant via Robust Optimization Approach

A Bidding Model for a Virtual Power Plant via Robust Optimization Approach

Demand side management of photovoltaic-battery hybrid system

Analysis of the Virtual Power Plant Model Based on the Use of Emergency Generators in South Korea

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