Event-based scheduling of industrial technical virtual power plant considering wind and market prices stochastic behaviors - A case study in Iran

Hooshmand, Rahmat‐Allah; Nosratabadi, Seyyed Mostafa; Gholipour, Eskandar

doi:10.1016/j.jclepro.2017.12.017

Cited by 54 publications

(21 citation statements)

References 37 publications

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“…While large-scale electricity storage may lead to better economies of scale, the current trend of household storage combined with PV is gaining momentum (also thanks to dedicated incentive schemes). There are already some examples [56][57][58] of "virtual power plants", i.e., the aggregation of multiple small-size units (including generation units, storage units as well as demand side management) via dedicated web platforms to reach the minimum power required by regulations to participate to the market. Those business models may continue to evolve, while an alternative possibility would be the expansion of the markets towards smaller units, but at the cost of a significant increase of their operational complexity.…”

Section: Policy Recommendationsmentioning

confidence: 99%

Impact of Grid-Scale Electricity Storage and Electric Vehicles on Renewable Energy Penetration: A Case Study for Italy

et al. 2019

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Storage technologies are progressively emerging as a key measure to accommodate high shares of intermittent renewables with a view to guarantee their effective integration towards a profound decarbonisation of existing energy systems. This study aims to evaluate to what extent electricity storage can contribute to a significant renewable penetration by absorbing otherwise-curtailed renewable surplus and quantitatively defines the associated costs. Under a Smart Energy System perspective, a variety of future scenarios are defined for the Italian case based on a progressively increasing renewable and storage capacity feeding an ever-larger electrified demand mostly made up of electric vehicles and, to some extent, heat pumps and power-to-gas/liquid technologies. Results are compared in terms of crucial environmental and techno-economic indicators and discussed with respect to storage operating parameters. The outcome of this analysis reveals the remarkable role of electricity storage in increasing system flexibility and reducing, in the range 24–44%, the renewable capacity required to meet a given sustainability target. Nonetheless, such achievements become feasible only under relatively low investment and operating costs, condition that excludes electrochemical storage solutions and privileges low-cost alternatives that at present, however, exist only at a pilot or demonstration scale.

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Section: Policy Recommendationsmentioning

confidence: 99%

Impact of Grid-Scale Electricity Storage and Electric Vehicles on Renewable Energy Penetration: A Case Study for Italy

et al. 2019

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“…The state-of-the-art literature investigation conducted showed that only a few approaches are addressing VPP modeling, creation, and optimal decentralized management in relation to different smart energy grid sustainability objectives [10,11,12,13]. Most of the literature approaches address day-ahead or intra-day markets which feature more relaxed time constraints, with their associated optimization problems being solved under the latency of cloud-based solutions.…”

Section: Related Workmentioning

confidence: 99%

“…The optimization problem is formalized as a constraint satisfaction problem which is solved using an Imperialist Competitive Algorithm under technical constraints. In reference [12], the VPP day-ahead and intra-day optimal generation schedule is addressed in relation with Demand Response (DR) programs. The stochastic parameters of the optimization problem considered are the forecasted wind energy production and energy price.…”

Section: Related Workmentioning

confidence: 99%

A Fog Computing Enabled Virtual Power Plant Model for Delivery of Frequency Restoration Reserve Services

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et al. 2019

Sensors

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Nowadays, centralized energy grid systems are transitioning towards more decentralized systems driven by the need for efficient local integration of new deployed small scale renewable energy sources. The high limits for accessing the energy markets and also for the delivery of ancillary services act as a barrier for small scale prosumers participation forcing the implementation of new cooperative business models at the local level. This paper is proposing a fog computing infrastructure for the local management of energy systems and the creation of coalitions of prosumers able to provide ancillary services to the grid. It features an edge devices layer for energy monitoring of individual prosumers, a fog layer providing Information and Communication Technologies (ICT) techniques for managing local energy systems by implementing cooperative models, and a cloud layer where the service specific technical requirements are defined. On top, a model has been defined allowing the dynamical construction of coalitions of prosumers as Virtual Power Plants at the fog layer for the provisioning of frequency restoration reserve services while considering both the prosumers’ local constraints and the service ones as well as the constituents’ profit maximization. Simulation results show our solution effectiveness in selecting the optimal coalition of prosumers to reliably deliver the service meeting the technical constraints while featuring a low time and computation overhead being feasible to be run closer to the edge.

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“…These challenges include uncertainty in production, consumption, energy prices, and availability of network components. The smart grid increases the ability of the energy management system in the fields of overcoming uncertainties, aggregation of renewable sources, load responsiveness, monitoring, and network control [4,5].In [6], a pricing model for the electricity market of the previous day and the regulated market are proposed to maximize the expected profits of the VPP utilization, while the pricing problem is modeled as a two-stage stochastic program. In [7], a two-stage refinement optimization strategy has been proposed for pricing the VPP in day ahead and real time.…”

mentioning

confidence: 99%

“…In [6], a pricing model for the electricity market of the previous day and the regulated market are proposed to maximize the expected profits of the VPP utilization, while the pricing problem is modeled as a two-stage stochastic program. In [7], a two-stage refinement optimization strategy has been proposed for pricing the VPP in day ahead and real time.…”

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confidence: 99%

Energy Management of Virtual Power Plant Considering Distributed Generation Sizing and Pricing

et al. 2019

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The energy management of virtual power plants faces some fundamental challenges that make it complicated compared to conventional power plants, such as uncertainty in production, consumption, energy price, and availability of network components. Continuous monitoring and scaling of network gain status, using smart grids provides valuable instantaneous information about network conditions such as production, consumption, power lines, and network availability. Therefore, by creating a bidirectional communication between the energy management system and the grid users such as producers or energy applicants, it will afford a suitable platform to develop more efficient vector of the virtual power plant. The paper is treated with optimal sizing of DG units and the price of their electricity sales to achieve security issues and other technical considerations in the system. The ultimate goal in this study to determine the active demand power required to increase system loading capability and to withstand disturbances. The effect of different types of DG units in simulations is considered and then the efficiency of each equipment such as converters, wind turbines, electrolyzers, etc., is achieved to minimize the total operation cost and losses, improve voltage profiles, and address other security issues and reliability. The simulations are done in three cases and compared with HOMER software to validate the ability of proposed model. Energy management is a common and widely spread concept, including all measures that are planned and implemented to ensure the minimum amount of energy consumed in different activities. Trading, industries, and organizations have found themselves under high economic and environmental pressure in the last two decades to minimize their consumptions. Economic competition in the world market (especially the electricity market) and increasing the state of environmental regulations and standards in order to reduce climate pollutants are the most important factors in investment costs and exploitation of all organizations [3]. Actually, energy management is an important instrument in assisting various institutions to reduce their costs in order to meet these essential goals to survive and succeed in long term. The energy management of the VPPs faces challenges that make it complicated. These challenges include uncertainty in production, consumption, energy prices, and availability of network components. The smart grid increases the ability of the energy management system in the fields of overcoming uncertainties, aggregation of renewable sources, load responsiveness, monitoring, and network control [4,5].In [6], a pricing model for the electricity market of the previous day and the regulated market are proposed to maximize the expected profits of the VPP utilization, while the pricing problem is modeled as a two-stage stochastic program. In [7], a two-stage refinement optimization strategy has been proposed for pricing the VPP in day ahead and real time. The practicality of the decisions made and the...

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Event-based scheduling of industrial technical virtual power plant considering wind and market prices stochastic behaviors - A case study in Iran

Cited by 54 publications

References 37 publications

Impact of Grid-Scale Electricity Storage and Electric Vehicles on Renewable Energy Penetration: A Case Study for Italy

Impact of Grid-Scale Electricity Storage and Electric Vehicles on Renewable Energy Penetration: A Case Study for Italy

A Fog Computing Enabled Virtual Power Plant Model for Delivery of Frequency Restoration Reserve Services

Energy Management of Virtual Power Plant Considering Distributed Generation Sizing and Pricing

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