Experimental evaluation of a real time energy management system for stand-alone microgrids in day-ahead markets

Marzband, Mousa; Sumper, Andreas; Ruiz-Alvarez, Albert; Domínguez‐García, José Luis; Tomoiagă, Bogdan

doi:10.1016/j.apenergy.2013.02.018

Cited by 169 publications

(166 citation statements)

References 28 publications

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“…From the early discussions about modeling issues and grid connected versus islanded control [1,2,3,4] the research has focused in the last years on more realistic problems in which the microgrids might play a role in supporting the main grid [5], would harness renewable energy resources, optimize their operational costs [6,7], or take part in electricity markets [8,9,10]; with demonstration projects such as in [10,9].…”

Section: Introductionmentioning

confidence: 99%

Simulation of spatially correlated wind power in small geographic areas—Sampling methods and evaluation

Díaz

Casielles

Coto

2014

International Journal of Electrical Power & Energy Systems

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In clusters of wind generators spread over small geographic areas, the spatial correlation of wind power production is strong. Simulation of joint power production in such cases-such as for instance for determining the available power in a microgrid-is flawed if the correlation is not properly defined.Several methods have been proposed in the literature for producing scenarios of correlated samples; mostly focused on wind speed. In this paper we analyze three popular choices: classical Monte Carlo (with correlation induced by Cholesky factorization), Latin Hypercube Sampling (with correlation induced by rank sorting), and the recent copula theory. We put together a variety of statistical tools to transform an uncorrelated multivariate sample into a correlated one; and supplement other works by introducing a detailed definition of the wind power distribution and by expanding the Archimedean copula analysis to dimensions beyond the bivariate case analyzed in some related works.We analyze a year of wind production of 210 wind site from NREL data base. We cluster them to give a view of prospective microgrids, and employ several statistical techniques to measure the adequacy of the simulated samples to the original measured data.Our results show that, for generation in small geographic areas, the higher the number of generators, the better the wind power dependence structure is described by LHS. On the contrary, copulas-Gumbel or Gaussian for two-and three-dimensional problems, and Gaussian for higher dimensions-are better suited for representing correlated wind speed. The results are different when the generators are spread over large geographic areas.Compared with LHS endowed with rank sorting for inducing correlation, copula theory is in some sense cumbersome to apply for modeling and simulating wind power data. However, simulations can be performed in prospective microgrids in small geographical areas with larger accuracy by means of LHS if wind power is analyzed rather than wind speed. This advantage is lost for large distances or when small number of generators is considered.

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Section: Introductionmentioning

confidence: 99%

Simulation of spatially correlated wind power in small geographic areas—Sampling methods and evaluation

Díaz

Casielles

Coto

2014

International Journal of Electrical Power & Energy Systems

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“…Primarily EMS should be able to satisfy plug-and-play operation particularly in larger H-MGs with different players, as such to the EMS should adapt itself to real-time changes in the type and capacity of generation and storage assets. In this study, a comprehensive CEMS is proposed to overcome the problems discussed above where the plug-and-play operation is provided [14,17]. In this study, single ownership is considered to simplify the market structure and optimization analysis with features like, e.g., plug-and-play type real-time optimal operation.…”

Section: The Proposed Cemsmentioning

confidence: 99%

“…It is also utilized in this study to show the effectiveness of the proposed CEMS to reduce the MCP. The LEM structure could be formed as single-or doublesided auction model [14,17], SSA and DSA, respectively. A SSA model is a mechanism in which every player only can be buyer or seller, not both simultaneously, and the auction goes to the lowest bidders to cover the electricity demand.…”

Section: Lem Unitmentioning

confidence: 99%

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A real-time evaluation of energy management systems for smart hybrid home Microgrids

Marzband

Ghazimirsaeid

Uppal

et al. 2017

Electric Power Systems Research

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131

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Real-time energy management within the concepts of home Microgrids (H-MG) systems is crucial for H-MG operational reliability and safe functionality, regardless of simultaneously emanated variations in generation and load demand transients. In this paper, an experimental design and validation of a real-time mutli-period artificial bee colony (MABC) topology type central energy management system (CEMS) for H-MGs in islanding mode is proposed to maximize operational efficiency and minimize operational cost of the H-MG with full degree of freedom in automatically adapt the management problem under variations in the generation and storage resources in real-time as well, suitable for different size and types of generation resources and storage devices with plug-and-play structure, is presented. A self-adapting CEMS offers a control box capability of adapting and optimally operating with any H-MGs structure and integrated types of generation and storage technologies, using a two-way communication between each asset, being a unique inherent feature. This CEMS framework utilizes feature like day-ahead scheduling (DAS) integrated with real-time scheduling (RTS) units, and local energy market (LEM) structure based on Single Side Auction (SSA) to regulate the price of energy in real-time. The proposed system operates based on the data parameterization such as: the available power from renewable energy resources, the amount of non-responsive load demand, and the wholesale offers from generation units and time-wise scheduling for a range of integrated generation and demand units. Experimental validation shows the effectiveness of our proposed EMS with minimum cost margins and plugand-play capabilitities for a H-MG in real-time islanding mode that can be envisioned for hybrid multi-functional smart grid supply chain energy systems with a revolutionary architectures. The better performance of the proposed algorithm is shown in comparison with the mixed integer non-linear programming (MINLP) algorithm, and its effectiveness is experimentally validated over a microgrid test bed. The obtained results show convergence speed increase and the remarkable improvement of efficiency and accuracy under different condition.

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“…A small power system consisting of power converter-based generation, ES devices, small classic synchronous generation, and various types of loads forms a microgrid (MG) [4]. While a number of research works on MG have been done on various aspects, including control strategy [5][6][7][8][9][10], energy management systems [11][12][13][14][15][16][17], marketing policies [18][19][20][21] and system design [22][23][24][25][26][27], this paper mainly focuses on the optimal sizing of Distributed Energy Resources (DERs), especially the capacity of ES devices in MG.…”

Section: Introductionmentioning

confidence: 99%

Optimized Planning of Power Source Capacity in Microgrid, Considering Combinations of Energy Storage Devices

et al. 2016

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Since renewable energy resource is universally accepted as a promising method to solve the global energy problem, optimal planning and utilization of various distributed generators (DG) and energy storage (ES) devices deserve special concern. ES devices possess various characteristics in power density, energy density, response speed (switching speed) and lifetime. Besides, as different load types have various requirements on power supply reliability according to their importance, coordinated planning with consideration of reasonable matching between power source and load can efficiently improve power supply reliability and economic efficiency via a customized power supply and compensation strategy. This paper focuses on optimization of power source capacity in microgrid and a coordinated planning strategy is proposed with integrated consideration of characteristics of DG, ES and load. An index named additional compensation ratio (ACR) for balancing economic efficiency and reliability is proposed and considered in the strategy. The objective function which aims to minimize life cycle cost (LCC) is established considering economic efficiency, reliability and environmental conservation. The proposed planning strategy and optimizing model is calculated and verified through case study of an autonomy microgrid.

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Experimental evaluation of a real time energy management system for stand-alone microgrids in day-ahead markets

Cited by 169 publications

References 28 publications

Simulation of spatially correlated wind power in small geographic areas—Sampling methods and evaluation

Simulation of spatially correlated wind power in small geographic areas—Sampling methods and evaluation

A real-time evaluation of energy management systems for smart hybrid home Microgrids

Optimized Planning of Power Source Capacity in Microgrid, Considering Combinations of Energy Storage Devices

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