Decomposition method for coordinated planning of distributed generation and distribution network

Wu, Zhi; Liu, Yafei; Gu, Wei; Zhou, Jingjing; Li, Junjie; Liu, Pengxiang

doi:10.1049/iet-gtd.2017.2050

Cited by 13 publications

(9 citation statements)

References 28 publications

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“…In order to further accelerate convergence speed, this paper also proposes a method to curtail the feasibility domains of the master problem (Wu et al, 2018;Hua et al, 2023), as shown in Figure 1C. The feasibility of interactive power information delivered by the master problem is examined during the subproblem of nodes at the lower level.…”

Section: Fast Distributed Asynchronous Optimization For Real-time Sch...mentioning

confidence: 99%

Opinions on fast distributed optimization for large-scale scheduling of heterogeneous flexibility resources

Tan,

Gao,

Liu

2024

Front. Energy Res.

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Section: Fast Distributed Asynchronous Optimization For Real-time Sch...mentioning

confidence: 99%

Opinions on fast distributed optimization for large-scale scheduling of heterogeneous flexibility resources

Tan,

Gao,

Liu

2024

Front. Energy Res.

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“…The rapid development of various industries has led to an increasing demand for electricity supply, and in recent years many regions have begun to experience a shortage of electricity supply and have had to make frequent power restrictions [13]. The high percentage of distributed power access makes distribution network faults more likely to occur at overvoltage nodes.…”

Section: Introductionmentioning

confidence: 99%

Study on the absorption technology of distribution network with high-proportion distributed power supply

Ding

2023

Applied Mathematics and Nonlinear Sciences

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In order to reduce energy dissipation and alleviate the energy crisis, this paper proposes an absorption mode of distribution network with distributed power supply. First of all, the starting power coefficient and cutting off power coefficient are set to reflect the efficiency of the inverter and obtain the active output power of the photovoltaic system. Then, the Gaussian iterative algorithm is used to calculate the power flow of the distribution network, which forms a model along with the branch switch to complete the variables optimization under the conditions that all power conversion elements are removed from the system and the security constraint is satisfied. Afterwards, through the apparent power of the distribution network node, the single feeder is transformed into two feeders to ensure the fixed voltage at the front end of the line and make the node voltage rise and exceed the limit. Meanwhile, the active power and reactive power are provided for distribution network to reduce the feeders voltage loss, the reasonable regulation measures are used to stabilize the voltage, and the constant power factor and voltage amplitude of the network connection point are added to address voltage over limit and lighten the influence of increasing distributed power on voltage rising. Finally, the size of voltage amplitude is referred to determine the reactive power, so as to realize reasonable absorption of distribution network. The analysis results show that the voltage regulation measures proposed significantly improve the overall absorption capacity of the power supply, with the capacity increased by 0.54MW and 0.2MW respectively.

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“…For sake of solution performance, a decomposed strategy based on Benders decomposition is then proposed. The Benders decomposition method is adopted to decompose the original problem into a master problem with several subproblems and then solve them iteratively, which is also widely used to deal with large-scale GEP problems in [32,36,[38][39][40]. In the decomposition strategy used in this paper, both the operation model and the reliability model are separated as subproblems and solved separately to reduce problem complexity and improve computational efficiency.…”

Section: Introductionmentioning

confidence: 99%

Multi‐stage stochastic wind‐thermal generation expansion planning with probabilistic reliability criteria

Wang

Luo

et al. 2021

IET Generation Trans & Dist

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Due to the growing proportion of uncertain and fluctuating renewable energy sources in the power system, reasonable generation expansion considering the uncertainties is desperately needed. This paper proposes a novel three‐stage wind‐thermal generation expansion planning model based on representative day unit commitment that incorporates the uncertainty of wind power and load and the probabilistic reliability criteria. The probabilistic reliability criteria are considered by simulating random outage events of thermal units using a robust approach. The consequent robust reliability model is reformulated as mixed‐integer linear programming models and integrated into the multi‐stage generation expansion planning model. A decomposed strategy based on the Benders decomposition is adopted to tackle with the large‐scale original model. Case studies are performed on both the revised IEEE 14‐bus and IEEE 118‐bus test systems to validate the effectiveness of proposed model and method. Numerical results show that the proposed generation planning method balances the economy and reliability of the system.

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Decomposition method for coordinated planning of distributed generation and distribution network

Cited by 13 publications

References 28 publications

Opinions on fast distributed optimization for large-scale scheduling of heterogeneous flexibility resources

Opinions on fast distributed optimization for large-scale scheduling of heterogeneous flexibility resources

Study on the absorption technology of distribution network with high-proportion distributed power supply

Multi‐stage stochastic wind‐thermal generation expansion planning with probabilistic reliability criteria

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