Interval-Partitioned Uncertainty Constrained Robust Dispatch for AC/DC Hybrid Microgrids With Uncontrollable Renewable Generators

Qiu, Haifeng; Gu, Wei; Xu, Yinliang; Wu, Zhi; Zhou, Suyang; Wang, Jianhua

doi:10.1109/tsg.2018.2865621

Cited by 50 publications

(24 citation statements)

References 32 publications

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“…have same meanings to these in [33]. When Π ∂ w = 0, the output of ∂ is completely predictable, and the robust optimisation reduces to a deterministic problem.…”

Section: Deterministic Dispatching Modelmentioning

confidence: 97%

“…A typical islanded AC/DC HMG, as shown in [32] is discussed in this paper. The dispatching model of this HMG with no uncertainties [33] is established as follows:…”

Section: Deterministic Dispatching Modelmentioning

confidence: 99%

“…where M is a sufficiently large constant. When s t equals 1, ℓ ϑ, t + and ℓ ϑ, t − are limited to ε ϑ, t + and ε ϑ, t − , respectively; when s t is 0, both ℓ ϑ, t + and ℓ ϑ, t − are 0 [33]. In this way, the linear constraints (40)-(43) are unchanged from those of (39).…”

Section: Rrd Model For the Ac/dc Hmgmentioning

confidence: 99%

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Resilience‐directional robust power dispatching of microgrids under meteorological disasters

Qiu

et al. 2019

IET Renewable Power Generation

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This study proposes a novel resilience-directional robust dispatch (RRD) model for an islanded AC/DC hybrid microgrid (HMG). The inherent uncertainties on the source-load power and the occurrence of meteorological disasters are considered in this model. When a meteorological disaster strikes, the wind turbine (WT), photovoltaic (PV), and bidirectional converter of the HMG should be offline to ensure the stability of the HMG and the safety of these sensitive units. When affected by such double uncertainties, the output constraints of the WT, PV and load are bilinear but are linearised via big-M approach. The proposed RRD model manifests as a min-max-min tri-layer problem with mixed-integer recourse variables, which is difficult to solve directly. Therefore, a nested column-and-constraint generation algorithm is adopted to convert the tri-layer problem to a two-stage mixed-integer linear programming (MILP) model. The MILP problem is addressed by the commercial solver, thereby obtaining the minimal operating cost and establishing robust scheduling plans with the worst disaster scenario. The effectiveness and rationality of the proposed RRD model and its solution methodology are verified in numerical tests.

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“…have same meanings to these in [33]. When Π ∂ w = 0, the output of ∂ is completely predictable, and the robust optimisation reduces to a deterministic problem.…”

Section: Deterministic Dispatching Modelmentioning

confidence: 97%

“…A typical islanded AC/DC HMG, as shown in [32] is discussed in this paper. The dispatching model of this HMG with no uncertainties [33] is established as follows:…”

Section: Deterministic Dispatching Modelmentioning

confidence: 99%

See 1 more Smart Citation

Resilience‐directional robust power dispatching of microgrids under meteorological disasters

Qiu

et al. 2019

IET Renewable Power Generation

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“…[14] developed a novel dynamic demand control method to coordinate the charging and discharging behaviors of EVs in the grid with high penetration level of renewable energy. A number of researches have been carried out in the field of EV charging pricing methodology [15]- [17] and pricedriven EV charging management [18]- [23]. [16] proposed a retail pricing mechanism implemented by charging network operators (CNOs), considering the interaction among CNOs, EV drivers and power system operator.…”

Section: B Related Workmentioning

confidence: 99%

Dynamic EV Charging Pricing Methodology for Facilitating Renewable Energy With Consideration of Highway Traffic Flow

et al. 2020

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Electric vehicles (EVs) are expected to play a critical role in future transportation systems. A number of countries have published roadmaps aiming to facilitate the adoption of EVs on the road. It is estimated that existing charging facilities will not be able to satisfy the tremendous charging demands of a dramatically increasing number of EVs. Following the rapid development of artificial intelligence and mobile communication technology, certain charging pricing mechanism is expected to influence the charging behavior of EV drivers. In order to maximize the working efficiency of highway charging facilities and the consumption of the renewable energy near charging facilities, this paper proposes a pricing methodology taking into account the charging facility service ratio, traffic flow and renewable energy generation. To support the adoption of the proposed pricing methodology, forecasts of hour-by-hour traffic flow and renewable generation as well as calculation of the shortest paths to different charging stations (CSs) are investigated. A road network testbed based on the Dublin traffic network is established to evaluate the proposed pricing methodology. It is discovered that for certain wind-rich CSs, the proposed pricing methodology can increase the consumption rate of wind energy by up to 82.97%, with an average improvement of 30.73%; for certain solar-rich CSs, it can improve the level of solar energy consumption by up to 59.50% and an average increase of 29.28% is achieved. The proposed pricing methodology can also reduce traffic jams to some extent at both peak and off-peak times. INDEX TERMS Electric vehicle, charging stations, charging pricing methodology, renewable energy consumption. NOMENCLATURE

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“…In fact, obtaining these parameters does not require the exact probability distribution functions in advance, and they can be easily obtained by analysing and fitting the historical data in the prediction system of an engineering project. If more uncertainty information is gained, more intervals will be partitioned to reduce the conservativeness of robust models [29].…”

Section: Crso Dispatching Modelmentioning

confidence: 99%

CRSO approach for microgrid power dispatching

Qiu

Long

et al. 2019

IET Generation, Transmission & Distribution

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Interval-Partitioned Uncertainty Constrained Robust Dispatch for AC/DC Hybrid Microgrids With Uncontrollable Renewable Generators

Cited by 50 publications

References 32 publications

Resilience‐directional robust power dispatching of microgrids under meteorological disasters

Resilience‐directional robust power dispatching of microgrids under meteorological disasters

Dynamic EV Charging Pricing Methodology for Facilitating Renewable Energy With Consideration of Highway Traffic Flow

CRSO approach for microgrid power dispatching

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