Multiperiod Risk-Limiting Dispatch in Power Systems With Renewables Integration

Peng, Chaoyi; Hou, Yunhe; Yu, Nanpeng; Yan, Jie; Lei, Shunbo; Wang, Weisheng

doi:10.1109/tii.2017.2651146

Cited by 13 publications

(10 citation statements)

References 27 publications

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“…Among all existing ESUs, there is a substantial interest in battery storage systems due to its fast ramping capabilities. [20][21][22][23]28 A flexible operation strategy with a two-step modelling framework is developed in Reference 29 to evaluate the potential benefits of batteries with RES. In the first step, the stochastic unit commitment model is formulated with day-ahead scheduling.…”

Section: Ed Problems Associated With Batteries and Evmentioning

confidence: 99%

Recent trends in power management strategies for optimal operation of distributed energy resources in microgrids: A comprehensive review

et al. 2020

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The current era in sustainable development is focused on the rapid integration of renewable energy sources driven by a wide range of socioeconomic objectives. Due to the inherent property of time-varying weather conditions, the intermittent sources, that is, Solar PV and Wind Energy, are considered as variable energy resources. The uncertainty and variability problem of these sources has brought many complications to distributed network operators to operate and control the complex or multi-microgrids with limited fast-ramping resources in order to maintain the power system flexibility. It led many researchers to find an alternative strategy since the conventional approaches are no longer adequate to handle the economic implications of operational decision making. At first, the brief review of various deterministic and probabilistic approaches, stochastic programming and robust optimisation strategies to address the uncertainty of variable energy resources are discussed. Furthermore, in the energy management point of view, the optimal scheduling problem of distributed sources of the microgrid is considered, and a brief review of optimisation models, advanced control strategies and demand response strategies to maximise economic benefits of microgrids are also elaborately presented. Finally, the multiagent-based distributed and decentralised control strategies for seamless integration of distributed generator units are reviewed under various configurations of the power grid along with communication network topologies.

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Section: Ed Problems Associated With Batteries and Evmentioning

confidence: 99%

Recent trends in power management strategies for optimal operation of distributed energy resources in microgrids: A comprehensive review

et al. 2020

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“…where (17)- (18), and (19) ensure consensus of boundary variables on the tie-lines between TSs and TS and DSs, respectively.…”

Section: )mentioning

confidence: 99%

Distributed Risk-Limiting Load Restoration for Wind Power Penetrated Bulk System

Zhao

Wang

et al. 2020

IEEE Trans. Power Syst.

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“…As a result, the objective values of the overall model, for the actually realised scenario, should subtract the cost of the overlapped time periods. In contrast, the dispatch and recourse stages in [17,24] are in series and the objective values are additive in terms of the cost of various stages.…”

Section: Key Features Of Proposed Rl Ucmentioning

confidence: 99%

“…The risk factor in the last constraint in (14) is computationally difficult to process as the probability is not explicitly accessible in the scenario tree. Inspired by the work in [17,24], we apply the formulation of conditional value-at-risk (CVaR) as the risk factor. Let…”

Section: Risk Factor As Conditional Value-at-riskmentioning

confidence: 99%

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Improving wind power utilisation under stormy weather condition by risk‐limiting unit commitment

Cai

Qin

Hou

2018

IET Renewable Power Generation

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Power grid resilience has been a major concern as extreme weather events become more frequent recently. Particularly, wind power generation has constituted a significant body of generation portfolio worldwide. Under stormy weather conditions, wind power generation would be curtailed due to the over-speed protection of wind turbines. Subsequently, the sharply reduced generation resources would significantly endanger the reliability of power supply. In this study, the authors propose to apply the risk-limiting methodology to improve the efficient utilisation of wind power prior to reluctant wind curtailment on the advent of wind stormy events. The proposed method integrates three programs, namely, day-ahead unit commitment (UC), hourly-ahead UC, and real-time load shedding into one single model along with risk-limiting constraints. The first program provides the baseline of hourly dispatch; whereas, the latter two programs serve as recourse means while wind stormy event unfolds. The proposed model is cast into a multi-stage mixed-integer linear programming model and solved by commercial solvers. Illustrative examples demonstrate that the proposed method can reduce the total dispatch cost over the time-horizon including the wind stormy event, by postponing the timing of proactively starting quick-start generating units and shedding loads, in contrast to conventional two-stage stochastic dispatch methods.

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Multiperiod Risk-Limiting Dispatch in Power Systems With Renewables Integration

Cited by 13 publications

References 27 publications

Recent trends in power management strategies for optimal operation of distributed energy resources in microgrids: A comprehensive review

Recent trends in power management strategies for optimal operation of distributed energy resources in microgrids: A comprehensive review

Distributed Risk-Limiting Load Restoration for Wind Power Penetrated Bulk System

Improving wind power utilisation under stormy weather condition by risk‐limiting unit commitment

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