A classification control strategy for energy storage system in microgrid

Zeng, Aidong; Xu, Qingshan; Ding, Maosheng; Yukita, Kazuto; Ichiyanagi, Katsuhiro

doi:10.1002/tee.22099

Cited by 29 publications

(13 citation statements)

References 21 publications

(24 reference statements)

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“…This principle is the basis of the simplest HESS management strategy known as frequency-based management (FBM); this consists of splitting the overall power demand into high-and low-frequency components, which have to be tracked by UM and BP, respectively [44,45]. An alternative approach is the so-called rule-based management (RBM), which exploits the single ESSs in accordance with an appropriate order of priority by means of a pre-set of rules [46,47]. In this regard, it is worth noting that FBM and RBM may be combined to each other or with fuzzy logic algorithms in order to account for ESS constraints and to improve overall HESS performances [48][49][50][51].…”

Section: Hess Management and Controlmentioning

confidence: 99%

A Novel Highly Integrated Hybrid Energy Storage System for Electric Propulsion and Smart Grid Applications

Serpi¹,

Porru²,

Damiano³

2018

Advancements in Energy Storage Technologies

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This chapter addresses potentialities and advantages of a highly integrated hybrid energy storage system (HESS) for electric propulsion and smart grids. This configuration consists of a highly integrated battery-ultracapacitor system (HIBUC) and aims to benefit from the advantages of both passive and active HESS configurations. Particularly, the integration of the ultracapacitor module (UM) within the DC-link of the DC/AC multilevel converter enables the decoupling between DC-link voltage and energy content without the need for any additional DC/DC converter. As a result, HIBUC benefits from simplicity and energy flow management capabilities very similar to those achieved by passive and active HESS configurations, respectively. This is highlighted properly by a theoretical analysis, which also accounts for a comparison between HIBUC and both passive and active HESS configurations. Some HIBUC application examples are also reported, which highlight the flexibility and potentialities of HIBUC for both electric propulsion systems and smart grids.

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Section: Hess Management and Controlmentioning

confidence: 99%

A Novel Highly Integrated Hybrid Energy Storage System for Electric Propulsion and Smart Grid Applications

Serpi¹,

Porru²,

Damiano³

2018

Advancements in Energy Storage Technologies

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“…These units, if put under efficient control mechanisms, could be involved effectively in charging and discharging processes. Hence, they could assist the DNOs by discharging the stored energy in handling the operational bottlenecks at peak hours . Beyond the system‐level applications, ESSs remain interesting for domestic customers, too.…”

Section: Introductionmentioning

confidence: 99%

Long-term integration of ESSs in distribution systems: An approach based on technical and economic objectives

Sattarpour

Talavat

Golshannavaz

2017

Int. Trans. Electr. Energ. Syst.

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Energy storage systems (ESSs) offer a set of unique benefits realizing the smart grid objectives. This paper contributes by establishing an optimal long-term integration of ESSs in these networks aiming at enhancing both the economic and technical metrics. Specifically speaking, the proposed approach deals with the following: (1) maximizing the power losses reduction benefit, (2) minimizing the operational costs, (3) minimizing the energy not supplied index, and (4) maximizing the benefits by upgrade deferral of distribution network. The established model is based on an AC load flow fashion satisfying all the technical and economical constraints. A probabilistic load model is adopted and incorporated in the proposed approach, to yield in a more realistic study. Both the size and the site of ESS installation are determined and assessed in the expansion horizon considering the yearly load growth rates. Two different scenarios are thoroughly assessed. In the first scenario, only 1 ESS unit is embedded in the network, and in the second view, the proposed approach is left to determine both the number and the size of installed ESSs. The numerical studies are conducted on IEEE 33-bus distribution test system within which the genetic algorithm performs as the optimization platform. The obtained results are discussed for economic and technical improvements. KEYWORDSan optimal long-term integration approach, distribution systems, economic and technical objectives, energy storage system (ESS)

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“…To deal with a growing threat from the energy crisis and the climatic variation, there has been a great increase in the utilization of wind power as an alternative to fossil fuels. While wind power retains many advantages such as lower operating cost, less pollutant emission, more flexible capacity and so on, its increasing penetration has brought challenges to electric dispatching [1][2][3][4]. There exist strong randomicity and volatility of wind power, as well as the anti-peak characteristic, which have brought about negative effects on the safe and economic operation of power system [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

An Optimal Dispatch Model of Wind-Integrated Power System Considering Demand Response and Reliability

Ding

Zheng

2017

Sustainability

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Demand response (DR) has become an impressive option in the deregulated power system due to its features of availability, quickness and applicability. In this paper, a novel economic dispatch model integrated with wind power is proposed, where incentive-based DR and reliability measures are taken into account. Compared with the conventional models, the proposed model considers customers' power consumption response to the incentive price. The load profile is optimized with DR to depress the influence on the dispatch caused by the anti-peak-shaving and intermittence of wind generation. Furthermore, a probabilistic formulation is established to calculate the expected energy not supplied (EENS). This approach combines the probability distribution of the forecast errors of load and wind power, as well as the outage replacement rates of units into consideration. The cost of EENS is added into the objective to achieve an optimal equilibrium point between economy and reliability of power system operation. The proposed model is solved by mixed integer linear programming (MILP). The applicability and effectiveness of this model is illustrated by numerical simulations tested on the IEEE 24-bus Reliability Test System. Sustainability 2017, 9, 758 2 of 20 with a certain proportion of the forecast load or the maximum capacity of the operating units. This deterministic means has left out multiple uncertainties, such as the wind forecast error, the load forecast error, and the forced outage rate of units [12,13]. During recent years, the stochastic assessment of the spinning reserve has been applied in many articles [14][15][16]. With this approach, the spinning reserve is optimized to satisfy the expected energy not supplied (EENS). In [17], a triangular approximate distribution model is used to quantify EENS due to the stochastic feature of wind. Then, a security-constrained unit commitment algorithm is proposed to schedule conventional units and wind generation considering probabilistic forecast models of wind power. Another day-head scheduling model involving reliability criteria is described in [18]. EENS is calculated with the historical outage replacement rates of generators or lines. MILP is utilized to deal with the proposed model. In [19], the forecast errors of both wind power and load are supposed to follow normal distributions. These errors are discretized into several intervals for a new formulation of reliability measures. In [20,21], a two-stage stochastic problem is formulated to address various uncertainties in the system, such as wind power, solar generation, loads and even electric vehicles. The sample average approximation, which is a Monte Carlo simulation technique, is utilized to deal with uncertainties for scenario generation purposes. These works have integrated the system with distribution-free uncertainties, but given a rise to the computational burden.As an effective way for peak load shedding and shaving, DR has been widely investigated in the electricity market. Consuming wind power with DR will re...

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A classification control strategy for energy storage system in microgrid

Cited by 29 publications

References 21 publications

A Novel Highly Integrated Hybrid Energy Storage System for Electric Propulsion and Smart Grid Applications

A Novel Highly Integrated Hybrid Energy Storage System for Electric Propulsion and Smart Grid Applications

Long-term integration of ESSs in distribution systems: An approach based on technical and economic objectives

An Optimal Dispatch Model of Wind-Integrated Power System Considering Demand Response and Reliability

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