Reliability assessment of renewable energy integrated power systems with an extendable Latin hypercube importance sampling method

Cai, Jianguo; Hao, Lili; Xu, Qingshan; Zhang, Keqi

doi:10.1016/j.seta.2021.101792

Cited by 8 publications

(7 citation statements)

References 39 publications

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“…The Latin hypercube sampling (LHS) (Cai et al, 2022) method is used to generate many source-load-output scenarios obeying the constraints of the predicted power distribution. Finally, the scene reduction method considering the Kantorovich distance was used to reduce the scene (Fang et al, 2023).…”

Section: Multi-scenario Generation and Reductionmentioning

confidence: 99%

An efficient multi-timescale regulation strategy for distribution networks based on active and passive resources combined

Li,

Lin,

Zhang

et al. 2024

Front. Energy Res.

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Introducing solar and wind power into distribution networks (DNs) is an important initiative to promote the cleanliness and low-carbonization operation of DNs. However, the source and load outputs are uncertain in DNs, which will lead to problems of inaccurate regulation and insufficient renewable energy utilization. Therefore, this study provides an efficient multi-timescale regulation strategy for DNs based on active and passive resources combined. First, the day-ahead regulation model is constructed to minimize the total operating cost in a day for DNs. It aims to determine the on-load tap changer (OLTC) and capacitor bank (CB) switching schemes and consider them as the constraints for intraday regulation by power flow unification. Then, an intraday source and load uncertainty model is considered, which aims to cope with the problems of inaccuracies in the day-ahead source and load prediction. Based on this, the objective function of the intraday regulation model is set. It aims to minimize the deviation from the total day-ahead cost and then ensure the optimal system economy and determine the intraday new energy and energy storage system (ESS) short-time action scheme. Finally, the example results show that the proposed scheme can achieve the maximum utilization of renewable energy and improve the low-carbon economic operation of the whole system.

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Section: Multi-scenario Generation and Reductionmentioning

confidence: 99%

An efficient multi-timescale regulation strategy for distribution networks based on active and passive resources combined

Li,

Lin,

Zhang

et al. 2024

Front. Energy Res.

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“…To ensure the accuracy of sampling, the uncertainty scenario set generated by the Latin superelevation method in this paper is large in size and prone to the dimensional explosion problem after considering multiple stochastic factors, such as unit failure and demand-side rejection response, which leads to an increase in the difficulty of problem-solving [15]. Therefore, the reduction of scenarios in the original set is achieved by scene reduction techniques.…”

Section: Scene Reduction Technologymentioning

confidence: 99%

Intraday rolling optimal dispatch model of power system considering supply-demand interaction

Han

Zhang

Liu

et al. 2023

J. Phys.: Conf. Ser.

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The participation of demand-side resources in grid operation and regulation, in coordination with the generation side, can jointly ensure a stable supply of electricity. The application of control technology in the energy field makes demand-side resource control methods more flexible and intelligent, thus providing a technical guarantee for demand-side resources to participate in the power market. This paper discusses the interaction between demand-side resources and the generation side and establishes an intraday rolling optimal dispatch model for demand-side resources. Finally, it is demonstrated through simulation that refining the multi-dimensional response characteristics of demand-side resources in the intraday dispatch model can improve the operational economy of the system and the flexibility of the scheduling model to cope with uncertainties.

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“…Latin hypercube sampling is a multi-dimensional stratified sampling method, which can produce more evenly distributed sample points and is more efficient than random sampling [44]. Based on the above prediction model, this paper performs multi-scenario generation based on the Latin hypercube sampling technique.…”

Section: Multi-scenario Uncertain Wind and Light Output Modelmentioning

confidence: 99%

Research on Highway Self-Consistent Energy System Planning with Uncertain Wind and Photovoltaic Power Output

et al. 2023

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Highways are a critical consumer of energy. The integration of the highway and the energy system (ES) is a proven method towards carbon neutrality. The increasing energy demands of highway transportation infrastructure and the development of distributed energy and energy storage technologies drive the coupling between the highway system (HS) and the energy supply network, which is becoming tighter than ever before. Many scholars have explored the mode and path of integrated transportation and energy development. However, the energy and transportation systems’ coupling relationship and the collaborative planning scheme have not been thoroughly studied. Facing the increasing interconnection between transportation and energy networks, as well as addressing the demand for clean energy in highway transportation effectively, this paper proposes a highway self-consistent energy system (HSCES) planning model integrating uncertain wind and photovoltaic (PV) power output, so as to analyze the energy supply mode of the HS and determine the multi-energy capacity configuration of the self-consistent energy system (SCES). Firstly, the mathematical model related to each micro-generator of the SCES and the load aggregation scenario of the HS is established. Secondly, considering the uncertainty of renewable energy, this paper focuses on wind and PV power generation, and abatement technology, under uncertain conditions to ensure the best solution for reliability. Thirdly, taking the economy, reliability and the renewable energy utilization rate of the system into account, the system planning model is established under the condition of ensuring the system correlation constraints. Finally, the proposed method is validated using a section of the highway transportation system in western China. The results show that the hybrid energy storage planning scheme can cause the system’s renewable energy utilization rate to reach 99.61%, and the system’s power supply reliability to reach 99.74%. Therefore, it is necessary to carry out coordinated planning while considering the characteristics of the HS and the ES, which can minimize the planning cost of a HSCES, reduce the waste of wind and solar energy, and ensure the reliability of the power supply for the HS.

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Reliability assessment of renewable energy integrated power systems with an extendable Latin hypercube importance sampling method

Cited by 8 publications

References 39 publications

An efficient multi-timescale regulation strategy for distribution networks based on active and passive resources combined

An efficient multi-timescale regulation strategy for distribution networks based on active and passive resources combined

Intraday rolling optimal dispatch model of power system considering supply-demand interaction

Research on Highway Self-Consistent Energy System Planning with Uncertain Wind and Photovoltaic Power Output

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