Model order reduction for reliability assessment of flexible power networks

Ndawula, Mike Brian; Hernando‐Gil, Ignacio; Li, Ran; Gu, Chenghong; Paola, Antonio De

doi:10.1016/j.ijepes.2020.106623

Cited by 16 publications

(5 citation statements)

References 46 publications

(82 reference statements)

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“…In the literature, many global benefits are addressed in power systems worldwide. Frequency control [51], power regulation [52], flexibility reserve [53], peak shaving/valley filling [54], decarbonizing the power systems [55], optimization of power system operation cost [56], facilitation of renewable power integration [57], enhancement of power system reliability [58], and reduction of investment cost in power systems are the most important global support. In the local support, the local distribution network takes the advantage of the flexible demands.…”

Section: Demand Flexibilitymentioning

confidence: 99%

Demand-Side Flexibility in Power Systems: A Survey of Residential, Industrial, Commercial, and Agricultural Sectors

Golmohamadi

2022

Sustainability

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In recent years, environmental concerns about climate change and global warming have encouraged countries to increase investment in renewable energies. As the penetration of renewable power goes up, the intermittency of the power system increases. To counterbalance the power fluctuations, demand-side flexibility is a workable solution. This paper reviews the flexibility potentials of demand sectors, including residential, industrial, commercial, and agricultural, to facilitate the integration of renewables into power systems. In the residential sector, home energy management systems and heat pumps exhibit great flexibility potential. The former can unlock the flexibility of household devices, e.g., wet appliances and lighting systems. The latter integrates the joint heat–power flexibility of heating systems into power grids. In the industrial sector, heavy industries, e.g., cement manufacturing plants, metal smelting, and oil refinery plants, are surveyed. It is discussed how energy-intensive plants can provide flexibility for energy systems. In the commercial sector, supermarket refrigerators, hotels/restaurants, and commercial parking lots of electric vehicles are pointed out. Large-scale parking lots of electric vehicles can be considered as great electrical storage not only to provide flexibility for the upstream network but also to supply the local commercial sector, e.g., shopping stores. In the agricultural sector, irrigation pumps, on-farm solar sites, and variable-frequency-drive water pumps are shown as flexible demands. The flexibility potentials of livestock farms are also surveyed.

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Section: Demand Flexibilitymentioning

confidence: 99%

Demand-Side Flexibility in Power Systems: A Survey of Residential, Industrial, Commercial, and Agricultural Sectors

Golmohamadi

2022

Sustainability

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“…Based on the contribution from the proposed method to the comprehensive analysis of different DG penetration, concentration, location, and system loading level, further work by the authors [38][39] will integrate the proposed DG's LIC approach with Model Order Reduction, State Enumeration and Monte Carlo simulation techniques for an accurate reliability assessment of complex power distribution systems and the impacts associated with the integration of different low-carbon technologies and microgrids.…”

Section: E Influence Of Network Loading Levelmentioning

confidence: 99%

DG Locational Incremental Contribution to Grid Supply Level

Hernando‐Gil¹,

Zhang²,

Ndawula³

et al. 2022

IEEE Trans. on Ind. Applicat.

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Due to decarbonisation and decentralisation of energy sectors, the rise of distributed generation (DG) will modify generation and demand patterns at grid supply points (GSPs), where the interface between distribution and transmission systems takes place. With the increasing penetration of such devices, methodologies able to evaluate its contribution to both local distribution network and transmission system become crucial. This paper proposes an analytical method to evaluate the DG locational incremental contribution (LIC) to the interface with the transmission grid. Accordingly, the original model of the UK engineering recommendation P2 is enhanced by studying the impacts from high-voltage distribution networks (i.e. ≤ 132 kV) under normal and contingent conditions. This approach enables a more accurate network security assessment, especially when considering contingencies such as distribution system faults. To illustrate the proposed method, the original P2 model is compared against different enhanced approaches on three basic distribution networks, followed by a case study and a sensitivity analysis on a revised IEEE 14-bus GSP system. The proposed LIC method produces results that assess a wider range of conditions including DG penetration, concentration, and system reliability. Furthermore, it provides an increased DG visibility for transmission planning and operation.

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“…The impact of the automatic operation of the power grid and load response were also considered. Based on model order reduction and the Monte Carlo simulation method, Ndawula et al [26] evaluated the reliability of flexible power networks with distributed energy resources. Based on machine learning, Li et al [27] proposed a reliability evaluation framework for power distribution networks.…”

Section: Introductionmentioning

confidence: 99%

Economic Dispatch Optimization of a Microgrid with Wind–Photovoltaic-Load-Storage in Multiple Scenarios

Wang

Sun

et al. 2023

Energies

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The optimal economic power dispatching of a microgrid is an important part of the new power system optimization, which is of great significance to reduce energy consumption and environmental pollution. The microgrid should not only meet the basic demand of power supply but also improve the economic benefit. Considering the generation cost, the discharge cost, the power purchase cost, the electricity sales revenue, the battery charging and discharging power constraints, and the charging and discharging time constraints, a joint optimization model for a multi-scenario microgrid with wind–photovoltaic-load storage is proposed in our study. Additionally, the corresponding model solving algorithm based on particle swarm optimization is also given. In addition, taking the Wangjiazhai project in Baiyangdian region as a case study, the effectiveness of the proposed model and algorithm is verified. The joint optimization model for a microgrid with wind–photovoltaic-load storage in multiple scenarios is discussed and investigated, and the optimal economic power dispatching schemes in multiple scenarios are also provided. Our research shows that: (1) the battery can play a role in peak shaving and valley filling, which can make microgrids more economical; (2) when the power purchase price is lower than the cost of renewable energy power generation, if the wind turbine and the photovoltaics are allowed to be discarded the microgrid will produce higher economic benefits; and (3) restricting the exchange power between the microgrid and the main power network will lead to a negative impact on the economy for the microgrid.

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Model order reduction for reliability assessment of flexible power networks

Cited by 16 publications

References 46 publications

Demand-Side Flexibility in Power Systems: A Survey of Residential, Industrial, Commercial, and Agricultural Sectors

Demand-Side Flexibility in Power Systems: A Survey of Residential, Industrial, Commercial, and Agricultural Sectors

DG Locational Incremental Contribution to Grid Supply Level

Economic Dispatch Optimization of a Microgrid with Wind–Photovoltaic-Load-Storage in Multiple Scenarios

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