Multi-objective active distribution networks expansion planning by scenario-based stochastic programming considering uncertain and random weight of network

Xie, Shiwei; Hu, Zhijian; Zhou, Daming; Li, Yan; Kong, Shunfei; Lin, Weiwei; Zheng, Yang

doi:10.1016/j.apenergy.2018.03.023

Cited by 98 publications

(49 citation statements)

References 43 publications

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“…The first efforts in modeling uncertainties using stochastic methods was made by Dantzig [59]. These methods can be used, when the PDF of input parameters is known [60]. A brief introduction of three main stochastic technique are given below:…”

Section: Stochastic Methodsmentioning

confidence: 99%

A Survey on Microgrid Energy Management Considering Flexible Energy Sources

et al. 2019

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Aggregation of distributed generations (DGs) along with energy storage systems (ESSs) and controllable loads near power consumers has led to the concept of microgrids. However, the uncertain nature of renewable energy sources such as wind and photovoltaic generations, market prices and loads has led to difficulties in ensuring power quality and in balancing generation and consumption. To tackle these problems, microgrids should be managed by an energy management system (EMS) that facilitates the minimization of operational costs, emissions and peak loads while satisfying the microgrid technical constraints. Over the past years, microgrids' EMS have been studied from different perspectives and have recently attracted considerable attention of researchers. To this end, in this paper a classification and a survey of EMSs has been carried out from a new point of view. EMSs have been classified into four categories based on the kind of the reserve system being used, including non-renewable, ESS, demand-side management (DSM) and hybrid systems. Moreover, using recent literature, EMSs have been reviewed in terms of uncertainty modeling techniques, objective functions (OFs) and constraints, optimization techniques, and simulation and experimental results presented in the literature.

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Section: Stochastic Methodsmentioning

confidence: 99%

A Survey on Microgrid Energy Management Considering Flexible Energy Sources

et al. 2019

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“…To start the design process, there are several considerations that must be taken into account to have an optimal and adequate design, which will define and identify minimum and maximum values, and the capacities and locations of equipment, among other things. Depending on the considerations described above, a final decision may be taken to have an adequate arrangement of the distribution network, as well as the characteristics of all the elements that are part of that network [20,21]. Furthermore, basic criteria and elements will be described based on the local electricity company standards; those conditions are considered by the design tool in order to plan the distribution electricity networks.…”

Section: Design Of An Electrical Distribution Systemmentioning

confidence: 99%

A Decision-Making Tool for Electric Distribution Network Planning Based on Heuristics and Georeferenced Data

2019

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Designing and planning of electrical distribution systems is a task that design engineers perform during their daily activities. These designs, which are completed manually, are made according to the expertise of the designer; as a consequence, the obtained product varies depending on the person in charge of executing the layout, highlighting the fact that those designs are susceptible to involuntary human mistakes resulting in no optimal solutions and high cost consequences. The work presented below explains the implementation of an intelligent decision tool that allows the design of network distribution system planning considering the current electrical company standards, in order to have a clear and quick initial overview of the configuration that an electricity network should have in response to an increasing demand, considering not only the coverage and capacity of the transformers but also voltage drop along the conductors, which must not exceed 3% of the nominal value. The objective of this design tool is that it can be applicable in real scenarios; for this reason, the routing of the conductors and the location of the transformers are based on a georeferenced map. It is important to mention that the optimization problem is focused on minimizing the amount of transformers and at the same time ensuring a total coverge of 100% end users connected to the grid. This tool would be very useful in the educational and practical fields, since private and public electricity companies could use it to obtain a quick and efficient base product on which they could start to develop expansion and planning of distribution networks. The concept and development of such a tool is the subject of this paper.

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“…show that the access of DG is beneficial to the improvement of TSC. Reference [9] established a two-layer optimization model for TSC considering the uncertainty of DG output. In this model, the economic operation of the active distribution network is considered, but the "N-1" safety guideline is not included in the constraints.…”

Section: Introductionmentioning

confidence: 99%

Calculation of Maximum Total Supply Capacity of Three-Phase Unbalance Distribution Network Based on Mixed Integer Second-Order Cone

Zheng¹,

Ni²,

Shi³

et al. 2019

Preprint

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Considering the fault "N-1" checksum and the power flow, the single-phase power flow model is further transformed into a three-phase power flow model, and the asymmetry of the three-phase power flow is measured by the three-phase unbalance factor. The calculation model is linearized by the second-order cone relaxation and the Big-M method. At the same time, the load response and distribution network reconstruction are used to improve the reliability of the power supply network to cope with the power failure. The relationship between power supply capability and power flow constraints, main transformer capacity and distributed power parameters is analyzed by IEEE 33-node three-phase power distribution system. The feasibility of the proposed model and the accuracy of the second-order cone relaxation are verified by numerical examples, which provides a technical reference for distribution network planning.

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Multi-objective active distribution networks expansion planning by scenario-based stochastic programming considering uncertain and random weight of network

Cited by 98 publications

References 43 publications

A Survey on Microgrid Energy Management Considering Flexible Energy Sources

A Survey on Microgrid Energy Management Considering Flexible Energy Sources

A Decision-Making Tool for Electric Distribution Network Planning Based on Heuristics and Georeferenced Data

Calculation of Maximum Total Supply Capacity of Three-Phase Unbalance Distribution Network Based on Mixed Integer Second-Order Cone

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