Flexible Look-Ahead Dispatch Realized by Robust Optimization Considering CVaR of Wind Power

Li, Peng; Yu, Danwen; Yang, Ming; Wang, Jianhui

doi:10.1109/tpwrs.2018.2809431

Cited by 73 publications

(27 citation statements)

References 33 publications

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“…Step2: Linearize the risk cost using the method in [22], and obtain a transformed objective function.…”

Section: Solution Methodsmentioning

confidence: 99%

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Flexible Robust Risk-Constrained Unit Commitment of Power System Incorporating Large Scale Wind Generation and Energy Storage

Zhang

2020

IEEE Access

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With the increasing penetration of wind power in the power systems, the uncertainties in wind power significantly challenge the reliable and economic operation of power systems. Recently, the worst scenario-based robust optimization approaches have been employed to manage the uncertainties in the unit commitment problem. To further improve the robustness and economic efficiency of power system operation, this paper proposes a flexible robust risk-constrained unit commitment formulation, in which flexible reserve capacities of conventional generators and energy storage are allocated to cope with the uncertainty of wind power. The proposed model optimizes the unit commitment and dispatch solutions for the base case while guaranteeing that the flexible reserve capacity can be adaptively adjusted after wind generation realization. In contrast to the predefined uncertainty set in the conventional robust unit commitment, the proposed model constructs an adjustable and flexible uncertainty set via balancing the operational costs and the operational risk. The model establishes worst-case constraints to optimally allocate the flexible reserve capacity. The proposed model can be equivalently transformed into a singlelevel optimization problem using the strong duality theory. Numerical case studies on a modified standard test system demonstrate the effectiveness and the efficiency of the proposed model.

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“…Step2: Linearize the risk cost using the method in [22], and obtain a transformed objective function.…”

Section: Solution Methodsmentioning

confidence: 99%

“…, respectively. Constraint(22) ensures that the storage units do not input and output simultaneously in any time period. Constraints(23)-(24) depict the limits of upward flexible reserve capacity of storage units.…”

mentioning

confidence: 99%

Flexible Robust Risk-Constrained Unit Commitment of Power System Incorporating Large Scale Wind Generation and Energy Storage

Zhang

2020

IEEE Access

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“…In the objective function (14), the first term is the operational cost, including the generation cost and reserve capacity cost, and the second term Z r is the worst-case expectation operational risk cost. ( 15) and ( 16) ensure the active and reactive power balance at the base case where wind power exactly matches the expected value.…”

Section: Risk-based Distributionally Robust Optimization Modelmentioning

confidence: 99%

“…However, in the aforementioned RObased approaches, the PD information of uncertainties is not well regarded in the optimization, which may cause suboptimal decisions. To overcome the shortage, some literatures, e.g., [14], [15], try to incorporate PD information into RO. However, they all share the similar drawback with SP.…”

Section: Introductionmentioning

confidence: 99%

Risk-Based Distributionally Robust Real-Time Dispatch Considering Voltage Security

Wang

et al. 2021

IEEE Trans. Sustain. Energy

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“…However, there still exist many problems, such as the subjective selection of membership functions, the need for a large amount of sample data, the limited number of scenarios for which results are obtained, the complexity of multi-scene description uncertainty, and others, and it is difficult to ensure the efficiency and accuracy of solutions. The theoretical framework of robust economic dispatch of power systems is proposed from the perspective of robust optimization, which opens up a new idea for power uncertainty modeling [18][19][20] .…”

Section: Introductionmentioning

confidence: 99%

Flexibility Robust Optimal Operation Strategy for Cross-Regional Interconnected Power Under Load-Source Coordination

Wang

et al. 2020

IEEE Access

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Ultra High Voltage (UHV) transmission technology is the main regional power interconnection method in China. In addition, renewable energy sources (RES) in China are characterized by centralized distribution. In view of the cross-regional flexible scheduling of large-scale grid-connected RES, we build a day-ahead optimization model which considers the generation economy and robustness of transmission for each regional grid. The model considers the spatial clustering effect of RES and loads, uses robust optimization theory to construct uncertainty sets, and introduces uncertain spatial constraint parameters to compensate for the insufficiency of traditional robust optimization. Furthermore, a coevolutionary algorithm filter-based is proposed to solve above the mixed-integer non-convex nonlinear programming model. Taking the modified IEEE-39 nodes as an example, the results show that the system cost can be reduced by 21.9% by selecting the confidence probability of uncertain variables of both load and source under stable operation, while the prediction accuracy has a significant impact on the system cost when the confidence probability is smaller, and a better operation scheme can be obtained by increasing the space constraint parameters. Finally, the feasibility of the proposed model and algorithm are verified on the Hami power grid in Xinjiang, China.

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Flexible Look-Ahead Dispatch Realized by Robust Optimization Considering CVaR of Wind Power

Cited by 73 publications

References 33 publications

Flexible Robust Risk-Constrained Unit Commitment of Power System Incorporating Large Scale Wind Generation and Energy Storage

Flexible Robust Risk-Constrained Unit Commitment of Power System Incorporating Large Scale Wind Generation and Energy Storage

Risk-Based Distributionally Robust Real-Time Dispatch Considering Voltage Security

Flexibility Robust Optimal Operation Strategy for Cross-Regional Interconnected Power Under Load-Source Coordination

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