Optimum Microgrid Design for Enhancing Reliability and Supply-Security

Arefifar, Seyed Ali; Mohamed, Yasser; EL-Fouly, Tarek H. M.

doi:10.1109/tsg.2013.2259854

Cited by 225 publications

(145 citation statements)

References 25 publications

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“…The information regarding DG has been taken from [24,25], where the authors optimized DG position and nominal power in order to stabilize the network by using a heuristic, Tabu Search-based algorithm. The load data has been obtained by using the methodology described in [26], where the consumption profiles of medium voltage nodes are aggregated randomly, starting from a set of consumption time series of single households obtained from [26].…”

Section: The Test Gridmentioning

confidence: 99%

Aging Cost Optimization for Planning and Management of Energy Storage Systems

et al. 2017

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In recent years, many studies have proposed the use of energy storage systems (ESSs) for the mitigation of renewable energy source (RES) intermittent power output. However, the correct estimation of the ESS degradation costs is still an open issue, due to the difficult estimation of their aging in the presence of intermittent power inputs. This is particularly true for battery ESSs (BESSs), which have been proven to exhibit complex aging functions. Unfortunately, this collides with considering aging costs when performing ESS planning and management procedures, which are crucial for the exploitation of this technology. In order to overcome this issue, this paper presents the genetic algorithm-based multi-period optimal power flow (GA-MPOPF) procedure, which aims to economically optimize the management of ESSs by taking into account their degradation costs.The proposed methodology has been tested in two different applications: the planning of the correct positioning of a Li-ion BESS in the PG& E 69 bus network in the presence of high RES penetration, and the definition of its management strategy. Simulation results show that GA-MPOPF is able to optimize the ESS usage for time scales of up to one month, even for complex operative costs functions, showing at the same time excellent convergence properties.

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Section: The Test Gridmentioning

confidence: 99%

Aging Cost Optimization for Planning and Management of Energy Storage Systems

et al. 2017

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“…It is a necessary but not sufficient condition for island operation. The node with the PV/BE station is included in the island by fixing x 0 to be 1 in (8). Generally, the TKP is a non-linear problem because the structure constraint in (10) contains an implicit functional relationship between a i and i [11][12][13][14], but with full information of the network structure, the structure constraint for all nodes can be given explicitly and therefore the model can be expressed as a linear programming (LP) problem [19].…”

Section: Island Partition For a Single Pv/be Stationmentioning

confidence: 99%

“…In terms of optimal island partition, a systematic approach considering system reliability and supply security for optimal microgrid design was presented in [8]. The optimal design considers both sustained and temporary faults to determine system reliability via a combined probabilistic reliability index, and considers the real and reactive power balances for supply security.…”

Section: Introductionmentioning

confidence: 99%

Integrated approach for optimal island partition and power dispatch

Zhu

Jiang

et al. 2017

J. Mod. Power Syst. Clean Energy

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Operating in island mode when failure occurs in the active distribution network(ADN) is an effective measure to maintain an uninterrupted power supply to significant loads. A two-stage approach that integrates optimal island partition and power dispatch is proposed in this paper, considering photovoltaics (PVs), batteries (BEs) and electric vehicles (EVs) as the power sources. In the first stage, energy indices are defined to describe the energy demand and the maximum energy that these distributed energy resources (DERs) can provide, and islands are partitioned based on an energy constraint. Considering the variability the loads and PVs, the energy constraint is a necessary but not sufficient condition for island operation, so in the second stage, a power dispatch model is proposed as a test for the island partition result. Sequential power flow is also simulated to guarantee a feasible and optimized island status. The situations when the tests are not passed are analyzed and classified, and corresponding modifications for the first stage model are provided. Multiple levels of constraints based on the energy index are established for the island partition model. The proposed approach has been validated through simulation using a modified IEEE 69-bus system which is divided into three districts with different load variability characteristics.

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“…Usually, the larger the energy storage capacity, the higher the price, so it is important to determine the installation capacity of the new renewable energy generation system and ESSs considering local climate and load conditions in the installation area [4]. The imbalance between energy production and demand caused by a faulty design of energy systems, such as a microgrid, makes it difficult to install optimized system capacity, thus increasing the energy production costs [5,6]. A microgrid design based on incorrect or limited information could result in excess design or even several newly constructed (and somewhat useless) facilities, which can result in significant losses in the form of cost and duration of facility construction [7].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Load Pattern for Optimal Planning of Stand-Alone Microgrid Networks

et al. 2018

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This paper proposes a method for estimating the load pattern for optimal planning of stand-alone renewable microgrids and verifies when the basic data for microgrid design are limited. To estimate a proper load pattern for optimal microgrid design when the data obtained in advance are insufficient, the least squares method is used to compare the similarity of annual power consumption between the subject area and eight islands in Korea whose actual load patterns were previously obtained. Similarity is compared in terms of annual (every month), seasonal, bi-monthly, and monthly averages. To verify the validity of the proposed estimation method, the applied proposed estimation method is used for two islands that have already installed a microgrid consisting of photovoltaic, wind power, energy storage systems, and diesel generators. In comparing the actual data from the two islands, the costs of electricity in terms of microgrid operations show improvements of 37.2% and 29.8%, respectively.

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Optimum Microgrid Design for Enhancing Reliability and Supply-Security

Cited by 225 publications

References 25 publications

Aging Cost Optimization for Planning and Management of Energy Storage Systems

Aging Cost Optimization for Planning and Management of Energy Storage Systems

Integrated approach for optimal island partition and power dispatch

Estimation of Load Pattern for Optimal Planning of Stand-Alone Microgrid Networks

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