Active distribution networks planning with high penetration of wind power

Mokryani, Geev; Hu, Yim Fun; Pillai, Prashant; Rajamani, Haile-Selassie

doi:10.1016/j.renene.2016.12.007

Cited by 44 publications

(24 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Aiming to addressing these undesirable conditions, several AM key approaches are introduced and listed in Figure 1. All these AM approaches, such as active network reconfiguration [35,77,97,110], coordinated volt-var control [98,109], coordinated dispatch of DERs, including DGs [22,52,94], ESSs [46,71,88,111], demand response (DR) [53,65,89,112], and optimal charging strategy of electric vehicles (EVs) [55,99], offer many potential benefits to the planning of ADSs and affect quality of the planning solution. The coupling of operation and planning is able to achieve the simultaneous optimization of planning and operation, and to identify the benefits and the effects of optimal operation on the planning solution.…”

Section: High-level Uncertaintiesmentioning

confidence: 99%

“…Different from [55], the mixed-integer nonlinear programming problem proposed in [36] is solved by DP. In general, these classical numerical methods and the software tools based on these numerical methods (CONOPT [51,63,69], IPOPT [65,98], SNOPT [96], GUROBI [57,58,71,89], etc.) have been widely used to solve the ADS planning problem.…”

Section: Solving Algorithmsmentioning

confidence: 99%

See 1 more Smart Citation

A Review of Optimal Planning Active Distribution System: Models, Methods, and Future Researches

Wang

Chen³

et al. 2017

Energies

View full text Add to dashboard Cite

Due to the widespread deployment of distributed energy resources (DERs) and the liberalization of electricity market, traditional distribution networks are undergoing a transition to active distribution systems (ADSs), and the traditional deterministic planning methods have become unsuitable under the high penetration of DERs. Aiming to develop appropriate models and methodologies for the planning of ADSs, the key features of ADS planning problem are analyzed from the different perspectives, such as the allocation of DGs and ESS, coupling of operation and planning, and high-level uncertainties. Based on these analyses, this comprehensive literature review summarizes the latest research and development associated with ADS planning. The planning models and methods proposed in these research works are analyzed and categorized from different perspectives including objectives, decision variables, constraint conditions, and solving algorithms. The key theoretical issues and challenges of ADS planning are extracted and discussed. Meanwhile, emphasis is also given to the suitable suggestions to deal with these abovementioned issues based on the available literature and comparisons between them. Finally, several important research prospects are recommended for further research in ADS planning field, such as planning with multiple micro-grids (MGs), collaborative planning between ADSs and information communication system (ICS), and planning from different perspectives of multi-stakeholders.

show abstract

Section: High-level Uncertaintiesmentioning

confidence: 99%

Section: Solving Algorithmsmentioning

confidence: 99%

A Review of Optimal Planning Active Distribution System: Models, Methods, and Future Researches

Wang

Chen³

et al. 2017

Energies

View full text Add to dashboard Cite

show abstract

“…The voltage angle limits of each bus voltage ( δ min ≤ δ ≤ δ max ) are exerted in Mokryani et al, and y δ is introduced as follows:

y_{δ} = max ((),,, 0, δ_{\min} - min ((), {normalδ}_{normalm}), max ((), {normalδ}_{normalm}) - δ_{\max}) .

…”

Section: Objective Function and Its Constraintsmentioning

confidence: 99%

“…B. The voltage angle limits of each bus voltage (δ min ≤ δ ≤ δ max ) are exerted in Mokryani et al, 37 and y δ is introduced as follows:…”

Section: Bus Voltage Limitsmentioning

confidence: 99%

A combined probabilistic modeling of renewable generation and system load types to determine allowable DG penetration level in distribution networks

Naghdi

Shafiyi

Haghifam

2018

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary Determining the penetration level of the distributed generation (DG) is an effective tool to site and size DGs in distribution networks. A multiobjective function of optimizing the DG penetration level, subject to constraints including short circuit capacity, voltage limits, transformer capacity, reverse power flow, and congestion of lines, is introduced to minimize the real and reactive losses and to ensure the voltage stability considering the variations of loads, different locations and power factors of DGs, and statistical nature of DG powers especially renewable energy resources. This optimization is performed based on a combined probabilistic modeling of the chronological behavior of wind speed, solar irradiance, and load with different types. The dynamical behavior of the compensators and on‐load tap changers is modeled by optimization subfunctions. An improved bee algorithm is used through conducting searches in the neighboring areas based on a new nonlinear function for a higher fitness and coherency speed.

show abstract

“…Reference [31] established stochastic wind speed and load model, incorporating the model in the proposed multi-configuration multi-scenario market-based optimal power flow, to achieve satisfied active distribution networks planning solution. Based on a large amount of historical data analysis, stochastic output is abstracted into multiple scenarios with their probability of occurrence, and then substituted it into multi-objective planning model [32,33].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Credible Capacity for Intermittent Distributed Energy Resources in Active Distribution Network

et al. 2017

View full text Add to dashboard Cite

Abstract:The irregularity and randomness of distributed energy sources' (DERs) output power characteristic usually brings difficulties for grid analysis. In order to reliably and deterministically evaluate intermittent distributed generation's active power output, a credible capacity index for active distribution network (ADN) is proposed. According to the definition, it is a certain interval that the stochastic active power output of DERs may fall in with larger probability in all kinds of possible dynamic and time varying operation scenarios. Based on the description and analysis on the time varying scenarios, multiple scenarios considered dynamic power flow method for and are proposed. The method to calculate and evaluate credible capacity based on dynamic power flow (DPF) result is illustrated. A study case of an active distribution network with DERs integrated and containing 32 nodes is selected; multiple operation scenarios with various fractal dimension are established and used. Results of calculated credible capacity based on several groups of scenarios have been analyzed, giving the variance analysis of groups of credible capacity values. A deterministic value with the maximum occurrence probability representing credible capacity is given. Based on the same network case, an application of credible capacity to grid extension planning is given, which contributes to expenditure and cost reduction. The effectiveness and significance of the proposed credible capacity and solution method have been demonstrated and verified.

show abstract

Active distribution networks planning with high penetration of wind power

Cited by 44 publications

References 38 publications

A Review of Optimal Planning Active Distribution System: Models, Methods, and Future Researches

A Review of Optimal Planning Active Distribution System: Models, Methods, and Future Researches

A combined probabilistic modeling of renewable generation and system load types to determine allowable DG penetration level in distribution networks

Assessment of Credible Capacity for Intermittent Distributed Energy Resources in Active Distribution Network

Contact Info

Product

Resources

About