Medium‐ and low‐voltage planning of radial electric power distribution systems considering reliability

Rupolo, Diogo; Pereira, Benvindo Rodrigues; Contreras, Javier; Mantovani, José Roberto Sanches

doi:10.1049/iet-gtd.2016.1478

Cited by 21 publications

(14 citation statements)

References 35 publications

(57 reference statements)

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“…Furthermore, the cost of corrective maintenance is formulated as follows: (12) As can be seen, in this equation, the constant part of the corrective maintenance costs related to the λ i 0 is not taken into account. In fact, (12) expresses the portion of corrective maintenance costs which can be affected by the decision variables.…”

Section: Cost Of Mid-term Plansmentioning

confidence: 99%

“…Referring to (9)- (12), it can be seen that the non-linearity of the aforementioned maintenance model arises from (11). In order to linearise this equation, the approach introduced in [21] is employed.…”

Section: Optimal Maintenance Scheduling: Milp Modelmentioning

confidence: 99%

“…In fact, reliability factor has been eliminated in most of these studies [4][5][6][7][8][9]. Rest of them, typically employed simple traditional method based on multiplication of value of lost load and energy not served (ENS) to estimate reliability costs, which is not quite realistic [10][11][12][13][14]. As an exception in the literature of distribution system planning, in [15], a risk-based model for long-term reliability investment decisions of electricity distribution companies in the presence of rewardpenalty regulation is proposed.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Incorporating the effects of service quality regulation in decision‐making framework of distribution companies

Jooshaki

Abbaspour

Fotuhi‐Firuzabad

et al. 2018

IET Generation, Transmission & Distribution

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Section: Cost Of Mid-term Plansmentioning

confidence: 99%

Section: Optimal Maintenance Scheduling: Milp Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Incorporating the effects of service quality regulation in decision‐making framework of distribution companies

Jooshaki

Abbaspour

Fotuhi‐Firuzabad

et al. 2018

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

“…In this regard, a relaxed PNL model and heuristic-based techniques have been developed and applied to handle this problem in [6]. Using such algorithms, although do not guarantee the optimal global solution, high-quality solutions are provided while the computational efficiency is higher than the classic optimization techniques [7]- [10].…”

Section: Introductionmentioning

confidence: 99%

A Mixed Integer Conic Model for Distribution Expansion Planning: Matheuristic Approach

Home-Ortiz

Pourakbari‐Kasmaei

Lehtonen

et al. 2020

IEEE Trans. Smart Grid

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This paper presents a mixed-integer conic programming model (MICP) and a hybrid solution approach based on classical and heuristic optimization techniques, namely matheuristic, to handle long-term distribution systems expansion planning (DSEP) problems. The model considers conventional planning actions as well as sizing and allocation of dispatchable/renewable distributed generation (DG) and energy storage devices (ESD). The existing uncertainties in the behavior of renewable sources and demands are characterized by grouping the historical data via the k-means. Since the resulting stochastic MICP is a convex-based formulation, finding the global solution of the problem using a commercial solver is guaranteed while the computational efficiency in simulating the planning problem of medium-or large-scale systems might not be satisfactory. To tackle this issue, the subproblems of the proposed mathematical model are solved iteratively via a specialized optimization technique based on variable neighborhood descent (VND) algorithm. To show the effectiveness of the proposed model and solution technique, the 24-node distribution system is profoundly analyzed, while the applicability of the model is tested on a 182node distribution system. The results reveal the essential requirement of developing specialized solution techniques for large-scale systems where classical optimization techniques are no longer an alternative to solve such planning problems.Index Terms-Distribution systems expansion planning, energy storage devices, VND-based matheuristic algorithm, mixed-integer conic programming, stochastic programming.

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“…In this regard, the transition to more efficient networks via multiple planning alternatives and environmental policies plays an essential role to fulfil the electricity demand increase requirements while at the same time promoting for a more sustainable network [1][2][3]. Traditionally, to guarantee the quality and reliability of the supplied energy by the EDN, some classical upgrading planning actions to provide adequate control over the voltage magnitude and reactive power flows, reductions of operational losses, among others are used in a short-term horizon [4][5][6][7]. On the other hand, to mitigate environmental problems, incentives have been adopted to promote renewable energy-based sources integration [8].…”

Section: Introductionmentioning

confidence: 99%

Voltage‐dependent load model‐based short‐term distribution network planning considering carbon tax surplus

Melgar‐Dominguez¹,

Pourakbari‐Kasmaei

Lehtonen

et al. 2019

IET Generation, Transmission & Distribution

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Nowadays, strategies to cope with environmental issues play a crucial role in the development of planning methodologies for electric distribution networks (EDNs). The primary goal of these methodologies is to find the equilibrium point, for which the EDN provides a high-quality service with the most environmentally-committed operation. Based on this fact, an alternative strategic approach for short-term EDN planning is presented in this manuscript. This decision-making scheme is based on classical investment actions to enhance the EDN performance in which the investment and operating costs, as well as the carbon tax surpluses, are minimized simultaneously. In this regard, unlike the traditional short-term planning methods and to explore a more accurate approach, the electricity demand is represented by the voltage-dependent exponential load model. By using this representation, substantial benefits related to energy saving can be achieved. To validate the proposed planning scheme, several test cases considering constant power demand and the voltage-dependent representation are widely studied on a 135-node distribution network. Additionally, the scalability of the proposed planning scheme is studied by using two medium distribution networks of 42-and 417-node. Numerical results confirm the robustness and applicability of the presented approach as an appropriate way of promoting to an efficient and low carbon tax surplus network.

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Medium‐ and low‐voltage planning of radial electric power distribution systems considering reliability

Cited by 21 publications

References 35 publications

Incorporating the effects of service quality regulation in decision‐making framework of distribution companies

Incorporating the effects of service quality regulation in decision‐making framework of distribution companies

A Mixed Integer Conic Model for Distribution Expansion Planning: Matheuristic Approach

Voltage‐dependent load model‐based short‐term distribution network planning considering carbon tax surplus

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