Risk-Based Admissibility Assessment of Wind Generation Integrated into a Bulk Power System

Wang, Cheng; Liu, Feng; Wang, Jianhui; Wei, Wei; Mei, Shengwei

doi:10.1109/tste.2015.2495299

Cited by 94 publications

(55 citation statements)

References 23 publications

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“…12,13 Studies about implementation of wind generations have also been proposed in the literature. [14][15][16][17] As mentioned before, DERs will reduce the market power and reliability cost through congestion management, and this issue has been widely investigated, too. The effect of distributed generations (DGs) on congestion management is investigated in Liu et al 18 where it is demonstrated that DGs positively affect congestion in transmission lines.…”

Section: Literature Reviewmentioning

confidence: 99%

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Distributed energy resources' role on reducing reliability cost

Jalili

Eslami

Moghaddam

et al. 2018

Int Trans Electr Energ Syst

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Summary Capacity market is one of the most successful mechanisms to ensure resource adequacy in power systems where capacity providers sell their products in a competitive manner. High investment costs, long construction periods, and lack of enough competition between capacity providers in some sections of the system are factors which may justify employing distributed energy resources in the capacity market. Hence, the method proposed in this paper aims at reducing reliability costs and mitigating the market power using the mentioned resources considering load duration curve factor. In the capacity market, reliability costs are calculated as the sum of costs paid to the conventional generators and renewables; these costs are proportional to the capacity price at their busses and to the costs paid to consumers for their participation in demand side management programs according to their share. The proposed method has been tested on an IEEE 57‐bus test system, and simulation results demonstrate its effectiveness.

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Section: Literature Reviewmentioning

confidence: 99%

“…Also, the potential of DR has been studied in real cases such as Europe and Hawaii . Studies about implementation of wind generations have also been proposed in the literature …”

Section: Introductionmentioning

confidence: 99%

Distributed energy resources' role on reducing reliability cost

Jalili

Eslami

Moghaddam

et al. 2018

Int Trans Electr Energ Syst

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“…[19] also considers an adjustable RO model with full recourse that incorporates UC and a polytopic admissible range. Furthermore, [20] considers the risk of the renewable energy being realized outside of the admissible region, which result in, e.g., curtailment of renewable energy. Differently, [21] models this risk by maximizing the probability that the renewable energy being realized within the DNE limits.…”

Section: Introductionmentioning

confidence: 99%

Distributionally Robust Co-Optimization of Power Dispatch and Do-Not-Exceed Limits

Jiang

Yan

2020

IEEE Trans. Power Syst.

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To address the challenge of the renewable energy uncertainty, the ISO New England (ISO-NE) has proposed to apply do-not-exceed (DNE) limits, which represent the maximum nodal injection of renewable energy the grid can accommodate.Unfortunately, it appears challenging to compute DNE limits that simultaneously maintain the system flexibility and incorporate a large portion of the available renewable energy at the minimum cost. In addition, it is often challenging to accurately estimate the joint probability distribution of the renewable energy. In this paper, we propose a two-stage distributionally robust optimization model that co-optimizes the power dispatch and the DNE limits, by adopting an affinely adjustable power re-dispatch and an adjustable joint chance constraint that measures the renewable utilization. Notably, this model admits a second-order conic reformulation that can be efficiently solved by the commercial solvers (e.g., MOSEK). We conduct case studies based on modified IEEE test instances to demonstrate the effectiveness of the proposed approach and analyze the trade-off among the system flexibility, the renewable utilization, and the dispatch cost.Index Terms-Power dispatch, renewable energy uncertainty, robust optimization, do-not-exceed limit, affine policy.

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“…A minimum conditional value at risk (CVAR) term was included in the UC model to evaluate the risk. As wind power generation penetration increases in smart grids, more innovative and sophisticated approaches to system operation are being adopted due to the intermittency and unpredictability of wind power generation [23,24]. Ref.…”

Section: Introductionmentioning

confidence: 99%

An Optimal Scheduling Dispatch of a Microgrid under Risk Assessment

Lin

Yang

et al. 2018

Energies

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This paper presents the scheduling dispatch of a microgrid (MG), while considering renewable energy, battery storage systems, and time-of-use price. For the risk evaluation of an MG, the Value-at-Risk (VAR) is calculated by using the Historical Simulation Method (HSM). By considering the various confidence levels of the VAR, a scheduling dispatch model of the MG is formulated to achieve a reasonable trade-off between the risk and cost. An Improved Bee Swarm Optimization (IBSO) is proposed to solve the scheduling dispatch model of the MG. In the IBSO procedure, the Sin-wave Weight Factor (SWF) and Forward-Backward Control Factor (FBCF) are embedded in the bee swarm of the BSO to improve the movement behaviors of each bee, specifically, its search efficiency and accuracy. The effectiveness of the IBSO is demonstrated via a real MG case and the results are compared with other methods. In either a grid-connected scenario or a stand-alone scenario, an optimal scheduling dispatch of MGs is carried out, herein, at various confidence levels of risk. The simulation results provide more information for handling uncertain environments when analyzing the VAR of MGs.

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Risk-Based Admissibility Assessment of Wind Generation Integrated into a Bulk Power System

Cited by 94 publications

References 23 publications

Distributed energy resources' role on reducing reliability cost

Distributed energy resources' role on reducing reliability cost

Distributionally Robust Co-Optimization of Power Dispatch and Do-Not-Exceed Limits

An Optimal Scheduling Dispatch of a Microgrid under Risk Assessment

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