Optimal sitting and sizing of DGs in distribution system considering time sequence characteristics of loads and DGs

Liu, Keyan; Sheng, Wanxing; Liu, Yuan; Meng, Xiao‐Li; Liu, Yongmei

doi:10.1016/j.ijepes.2015.01.033

Cited by 95 publications

(49 citation statements)

References 25 publications

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“…24 To address the environmental benefit obtained with these devices, a new and logical formula, namely, EBEI, is developed as 24 To address the environmental benefit obtained with these devices, a new and logical formula, namely, EBEI, is developed as…”

Section: Environmental Benefit Enhancement Indexmentioning

confidence: 99%

“…Incorporation of DG and/or DSTATCOM in RDS can reduce grid-supplied active and reactive power, which results in environmental benefit in terms of greenhouse gases emission reduction and a decrement of emission cost. 24 To address the environmental benefit obtained with these devices, a new and logical formula, namely, EBEI, is developed as…”

Section: Environmental Benefit Enhancement Indexmentioning

confidence: 99%

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Fuzzy logic–based rooted tree optimization algorithm for strategic incorporation of DG and DSTATCOM

Sannigrahi

Ghatak

Acharjee

2019

Int Trans Electr Energ Syst

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Summary In this study, a hybrid approach based on fuzzy logic and rooted tree optimization (RTO) algorithm is proposed for the strategic incorporation of distributed generation (DG) and distributed static compensator (DSTATCOM) in radial distribution system (RDS) to improve voltage profile, reduce losses, and maximize economic and environmental benefits. Fuzzy logic is applied to bring the objectives in the same range, and using RTO technique, the optimal site and size of the devices are determined. Considering the uncertainty in DG's output and time‐varying system load, the proposed technique is tested on 69‐bus and 118‐bus RDSs, and to check the accuracy and feasibility, the simulation results are compared with other existing techniques. The Wilcoxon signed rank test (WSRT) is applied to confirm the superiority of the proposed algorithm. Furthermore, comparative performance analysis is conducted between different planning schemes for facilitating the distribution system planner to select the most suitable one.

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Section: Environmental Benefit Enhancement Indexmentioning

confidence: 99%

Section: Environmental Benefit Enhancement Indexmentioning

confidence: 99%

Fuzzy logic–based rooted tree optimization algorithm for strategic incorporation of DG and DSTATCOM

Sannigrahi

Ghatak

Acharjee

2019

Int Trans Electr Energ Syst

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“…A multi objective function taking the active and reactive loss into account have also been proposed to find optimal size of DG . The common point between most of these methods and algorithms is the sizing and siting of DG units based on peak or average demands, with a few researches considering time varying demands …”

Section: Introductionmentioning

confidence: 99%

“…3 The common point between most of these methods and algorithms is the sizing and siting of DG units based on peak or average demands, with a few researches considering time varying demands. 23,24 However, there is a dearth of information in literature with regard to the effects of the daily load profiles with their types (industrial, commercial, and residential) and energy management principle. Additionally, selection of the appropriate limits of a DG unit was absent in the methods and algorithms that have been reported in this literature.…”

Section: Introductionmentioning

confidence: 99%

A time‐varying load‐based analytical approach for DG optimization in the distribution network

Iqteit

Arsoy

Çakır

2018

Int Trans Electr Energ Syst

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Summary This paper presents a novel analytical approach to estimate the optimal generation profiles/size and location of a distributed generation (DG) unit that can be integrated into distribution network to attain the lowest level of active loss. This approach considered the impact of significant parameters including daily load profiles, best power limits of a DG unit, and varying injected power profiles of the substation on results of minimum active loss of the distribution network and optimal calculations of DG. Additionally, the DG placement was speedily identified in this approach by using a new active loss expression along with four different scenarios. These scenarios considered a number of assumptions on the load profiles and on the state variables (voltage and angle). The obtained optimal active generation profile was also used to manage the uncertainty in the energy of the wind and photovoltaic distribution generators for achieving the highest loss reduction. Additionally, the exhaustive load flow method was used to check the validity of the analytical approach by using 13‐bus and 69‐bus distribution networks. The results obtained suggest the effectiveness of this approach in estimating the optimal location and profile/size of DG.

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“…A typical daily simulation method based on the timing characteristics analysis is proposed in some studies. In [35,36], the timing types are divided by seasons and weather, and the timing characteristics of the DG output and load fluctuation in the DN are analysed based on the represented typical daily sequences. In [37,38], for the intermittence and volatility of the DG, the multi-time scale dynamic optimal scheduling of an active DN is analysed based on the model predictive control theory.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Coordinated Planning of Distributed Generation and AC/DC Hybrid Distribution Networks Based on a Multi-Scenario Technique Considering Timing Characteristics

et al. 2017

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With increased direct current (DC) load density and the penetration of a large number of distributed generation (DG) units in alternating current (AC) distribution networks (DNs); a planning approach that considers transforming some of the AC lines into DC lines and building the DC network is proposed. Considering the DG output uncertainty and the load fluctuation, a planning model for an AC/DC hybrid distribution network (DN) with the DG based on the construction of multi-scenario technology with timing characteristics is built. In the DG configuration planning model, the lines to be transformed into DC form the access location and the decision regarding the DC or AC form of the newly built lines are considered optimizing variables. The DG investment, the network and converters of the DG and load, the active power loss and the voltage stability are considered in the objective functions. An improved adaptive niche genetic algorithm based on the fuzzy degree of membership and variance weighting is used to solve the nested model. Finally, considering the improved electrical and electronic engineers 33 (IEEE33) node system as an example, the correctness and effectiveness of the proposed planning method are verified. Compared to the plan without transforming some of the AC lines into DC lines and building a DC network, more DG can be admitted, and the economic cost of the AC/DC hybrid DN is notably decreased when planning to transform some of the AC lines into DC lines and build a DC network. The active power network loss and the voltage stability index are similarly further optimized.

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Optimal sitting and sizing of DGs in distribution system considering time sequence characteristics of loads and DGs

Cited by 95 publications

References 25 publications

Fuzzy logic–based rooted tree optimization algorithm for strategic incorporation of DG and DSTATCOM

Fuzzy logic–based rooted tree optimization algorithm for strategic incorporation of DG and DSTATCOM

A time‐varying load‐based analytical approach for DG optimization in the distribution network

Multi-Objective Coordinated Planning of Distributed Generation and AC/DC Hybrid Distribution Networks Based on a Multi-Scenario Technique Considering Timing Characteristics

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