Energy Storage Planning in Active Distribution Grids: A Chance-Constrained Optimization with Non-Parametric Probability Functions

Akhavan-Hejazi, Hossein; Mohsenian‐Rad, Hamed

doi:10.1109/tsg.2016.2604286

Cited by 32 publications

(13 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Joint expansion planning of energy storage and the distribution grid was modelled by Shen et al [150], Akhavan-Hejazi and Mohsenian-Rad [156] and Iria et al [38]. Shen et al [150] showed that a distribution grid relies on ESS for peak shaving and reliability enhancement.…”

Section: Distribution Level Essmentioning

confidence: 99%

“…Shen et al [150] showed that a distribution grid relies on ESS for peak shaving and reliability enhancement. Akhavan-Hejazi and Mohsenian-Rad [156] took the research a step further by modelling both real and reactive power flows and considering ESS for voltage compensation within an active distribution network. Voltage regulation was also considered by Das et al [147] who took into account both real and reactive power injection by ESS.…”

Section: Distribution Level Essmentioning

confidence: 99%

“…Planning Solving Technique [20,22,23,30,43,46,[49][50][51]53,54,57,59,73,74,78,[88][89][90]105] [ 119,125,130,156] LP [1,16-18,20,25,32,33,35,44,47,50,52, 56-58,60,61,63,65,66,70-72,76,79-83, 86,92,94-96,100-102,104,106,107] [ 14,28,[109][110][111][112][113][114][115]117,121,122,126,127,131,[133][134][135][136][137]139,148,149,155,156,<...>…”

Section: Operationmentioning

confidence: 99%

See 2 more Smart Citations

Operating and Investment Models for Energy Storage Systems

2020

View full text Add to dashboard Cite

In the context of climate changes and the rapid growth of energy consumption, intermittent renewable energy sources (RES) are being predominantly installed in power systems. It has been largely elucidated that challenges that RES present to the system can be mitigated with energy storage systems (ESS). However, besides providing flexibility to intermittent RES, ESS have other sources of revenue, such as price arbitrage in the markets, balancing services, and reducing the cost of electricity procurement to end consumers. In order to operate the ESS in the most profitable way, it is often necessary to make optimal siting and sizing decisions, and to determine optimal ways for the ESS to participate in a variety of energy and ancillary service markets. As a result, many publications on ESS models with various goals and operating environments are available. This paper aims at presenting the results of these papers in a structured way. A standard ESS model is first outlined, and that is followed by a literature review on operational and investment ESS models at the transmission and distribution levels. Both the price taking and price making models are elaborated on and presented in detail. Based on the examined body of work, the paper is concluded with recommendations for future research paths in the analysis of ESS.

show abstract

Section: Distribution Level Essmentioning

confidence: 99%

Section: Distribution Level Essmentioning

confidence: 99%

See 1 more Smart Citation

Operating and Investment Models for Energy Storage Systems

2020

View full text Add to dashboard Cite

show abstract

“…To cope with the uncertain output of DGs in the optimization operation in active distribution networks, stochastic programming [15][16][17], chance-constrained based stochastic programming [18][19][20] and robust optimization [21][22][23] have been extensively explored. For example, a multi-scenario framework for optimal power flow under the worst wind scenario and transmission N-1 contingency to properly address the uncertain wind power generation was proposed in [24].…”

Section: Specified Operational Times For Transformer (I J) S Jmentioning

confidence: 99%

A Data-Driven Stochastic Reactive Power Optimization Considering Uncertainties in Active Distribution Networks and Decomposition Method

Ding

Yang

et al. 2018

IEEE Trans. Smart Grid

119

View full text Add to dashboard Cite

Xi'an Jiaotong University. His current research interests include electricity markets, power system economics and optimization methods, and power system planning and reliability evaluation. QingrunYang received the B.S. degree from the School of Electrical Enginee ring, Xi'an Jiaotong University, Xi'an, China, in 2017. He is currently pursuin g the M.S. degree at Xi'an Jiaotong University. His major research interests in clude power system optimization and demand response.

show abstract

“…The process is shown in Figure 9. Then, combined with the approaches of probabilistic optimal power flow [44,60,79], chance constrained programming [62,70], etc., these simulated data of RDGs and load demand could be used in ADS planning models considering high-level uncertainties.…”

Section: Probabilistic Approachesmentioning

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

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

Energy Storage Planning in Active Distribution Grids: A Chance-Constrained Optimization with Non-Parametric Probability Functions

Cited by 32 publications

References 46 publications

Operating and Investment Models for Energy Storage Systems

Operating and Investment Models for Energy Storage Systems

A Data-Driven Stochastic Reactive Power Optimization Considering Uncertainties in Active Distribution Networks and Decomposition Method

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

Contact Info

Product

Resources

About