Optimization classification, algorithms and tools for renewable energy: A review

Iqbal, Muhammad; Azam, Muhammad; Naeem, Muhammad; Khwaja, Ahmed Shaharyar; Anpalagan, Alagan

doi:10.1016/j.rser.2014.07.120

Cited by 207 publications

(82 citation statements)

References 158 publications

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“…However, when there are several available energy resources to supply the demand, the energy supplied by each one should be scheduled to get an optimal dispatch regarding specific objectives such as economical, technical and environmental aspects [2], [3]. Particularly, storage-based microgrids can provide economic benefits without the need of shifting or shedding loads with the inclusion of a energy management system (EMS) [4] which is essential for critical loads that must be uninterruptedly fed [2].…”

Section: Introductionmentioning

confidence: 99%

“…Regarding economical issues, the main objective is to minimize the operating cost by scheduling the dispatchable units [3]. Another issue in the optimization process is related to make full use of renewable energy sources (RES) because of their intermittent nature as well as to prolong the lifetime of the ESS [5].…”

Section: Introductionmentioning

confidence: 99%

“…In [16] a Constant Power Generation (CPG) for PV systems is implemented where a certain percentage of the energy is cut off arbitrarily in a long-term operation when the output power reaches a certain level. Optimization techniques have been researched as linear and nonlinear approaches [3], even when these methods are often used offline. Recently, some online energy management system for microgrids (MG-EMS) have been implemented as in [4], but it does not considered safety ranges for the operation of the ESS which ensures longer ESS lifetime [12].…”

Section: Introductionmentioning

confidence: 99%

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Online energy management system for distributed generators in a grid-connected microgrid

Luna

Díaz

Graells

et al. 2015

2015 IEEE Energy Conversion Congress and Exposition (ECCE)

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Abstract-A microgrid is an energy subsystem composed of generation units, energy storage, and loads that requires power management in order to supply the load properly according to defined objectives. This paper proposes an online energy management system for a storage based grid-connected microgrid that feeds a critical load. The optimization problem aims to minimize the operating cost while maximizing the power provided by the renewable energy sources. The power references for the distributed energy resources (DER) are scheduled by using CPLEX solver which uses as input current measurements, stored data and adjusted weather forecast data previously scaled in each iteration considering the current status. The proposed structure is tested in a real time simulation platform (dSPACE 1006) for the microgrid model, by using Labview to data acquisition and Matlab to implement the energy management system. The results show the effectiveness of the proposed energy management system for different initial conditions of the storage system.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Online energy management system for distributed generators in a grid-connected microgrid

Luna

Díaz

Graells

et al. 2015

2015 IEEE Energy Conversion Congress and Exposition (ECCE)

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“…The literature on the management of DERs considering day-ahead, hour-ahead and real-time scheduling processes has been growing over the last few years [5]. This includes a number of studies on day-ahead scheduling for DERs with impact on operation costs [10][11][12][13], optimal bidding [13], load shedding [10], carbon emissions [10,14], EVs with vehicle-to-grid ability [15,16], losses reduction [17] and service restoration [18], as well as ancillary services management [19,20], among others. An integrated day-ahead and hour-ahead (intraday) schedule for dealing with DERs uncertainty [21], maximizing the retailer's profit under carbon emissions penalties [22], DERs scheduling with recourse to stochastic programming [23] and control strategies [24] has been studied.…”

Section: Literature Review and Specific Contributionsmentioning

confidence: 99%

Energy and Reserve under Distributed Energy Resources Management—Day-Ahead, Hour-Ahead and Real-Time

et al. 2017

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Abstract:The increasing penetration of distributed energy resources based on renewable energy sources in distribution systems leads to a more complex management of power systems. Consequently, ancillary services become even more important to maintain the system security and reliability. This paper proposes and evaluates a generic model for day-ahead, intraday (hour-ahead) and real-time scheduling, considering the joint optimization of energy and reserve in the scope of the virtual power player concept. The model aims to minimize the operation costs in the point of view of one aggregator agent taking into account the balance of the distribution system. For each scheduling stage, previous scheduling results and updated forecasts are considered. An illustrative test case of a distribution network with 33 buses, considering a large penetration of distribution energy resources allows demonstrating the benefits of the proposed model.

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“…In general, cost minimization and power maximization under defined environmental and social restrictions are the two main objectives for development power supply grids. Many analyses and optimization techniques have been proposed for balancing these two objectives (Iqbal et al, 2014;Arnette and Zobel, 2012). Various studies have been published about the methods and tools used to evaluate the availability of renewable energy (Angelis-Dimakis et al, 2011;Long et al, 2013;Muselli et al, 1999;Wang and Koch, 2010;Inman et al, 2013;Calvert et al, 2013).…”

Section: Analysis and Optimization Techniquesmentioning

confidence: 99%

Multicriteria analysis for sources of renewable energy using data from remote sensing

Matějı́ček

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Renewable energy sources are major components of the strategy to reduce harmful emissions and to replace depleting fossil energy resources. Data from remote sensing can provide information for multicriteria analysis for sources of renewable energy. Advanced land cover quantification makes it possible to search for suitable sites. Multicriteria analysis, together with other data, is used to determine the energy potential and socially acceptability of suggested locations. The described case study is focused on an area of surface coal mines in the northwestern region of the Czech Republic, where the impacts of surface mining and reclamation constitute a dominant force in land cover changes. High resolution satellite images represent the main input datasets for identification of suitable sites. Solar mapping, wind predictions, the location of weirs in watersheds, road maps and demographic information complement the data from remote sensing for multicriteria analysis, which is implemented in a geographic information system (GIS). The input spatial datasets for multicriteria analysis in GIS are reclassified to a common scale and processed with raster algebra tools to identify suitable sites for sources of renewable energy. The selection of suitable sites is limited by the CORINE land cover database to mining and agricultural areas. The case study is focused on long term land cover changes in the 1985-2015 period. Multicriteria analysis based on CORINE data shows moderate changes in mapping of suitable sites for utilization of selected sources of renewable energy in 1990, 2000, 2006 and 2012. The results represent map layers showing the energy potential on a scale of a few preference classes (1-7), where the first class is linked to minimum preference and the last class to maximum preference. The attached histograms show the moderate variability of preference classes due to land cover changes caused by mining activities. The results also show a slight increase in the more preferred classes for utilization of sources of renewable energy due to an increase area of reclaimed sites. Using data from remote sensing, such as the multispectral images and the CORINE land cover datasets, can reduce the financial resources currently required for finding and assessing suitable areas.* Corresponding author. This is useful to know for communication with the appropriate person in cases with more than one author.

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Optimization classification, algorithms and tools for renewable energy: A review

Cited by 207 publications

References 158 publications

Online energy management system for distributed generators in a grid-connected microgrid

Online energy management system for distributed generators in a grid-connected microgrid

Energy and Reserve under Distributed Energy Resources Management—Day-Ahead, Hour-Ahead and Real-Time

Multicriteria analysis for sources of renewable energy using data from remote sensing

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