Decision support program for congestion management using demand side flexibility

Esmat, Ayman; Usaola, Julio

doi:10.1109/ptc.2017.7980976

Cited by 12 publications

(11 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, the approach carried out here divides the optimization process into two stages, in order to efficiently manage the aforementioned complexities given any number of customers. The proposed method was briefly described in [27], and it will be summarized here.…”

Section: Methodsmentioning

confidence: 99%

“…The modelling and optimization process were carried out on a CPU with Intel(R) Core(TM) i7-6700 CPU @ 3.40 GHz. Even though the given network has only 6 buses as sources of flexibility, the proposed optimization methodology is flexible to handle more buses offering flexibility, as explained in [27]. In reality, the DSO is expected to manage several feeders at the same time, where every feeder The optimal combination of bids whose rebound conditions were found feasible is illustrated in Figure 9.…”

Section: Flex-dlm Clearingmentioning

confidence: 99%

“…The work presented here aims to build on what was carried out in [25][26][27] and further advance towards presenting a realistic framework for demand flexibility management. The proposed framework considers two types of demand flexibility, load increase and decrease volumes that can be a valuable tool to the DSO in the congestion management process.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Distribution-Level Flexibility Market for Congestion Management

2018

Self Cite

View full text Add to dashboard Cite

Nowadays, problems facing Distribution System Operators (DSOs) due to demand increase and the wide penetration of renewable energy are usually solved by means of grid reinforcement. However, the smart grid paradigm enables the deployment of demand flexibility for congestion management in distribution grids. This could substitute, or at least postpone, these needed investments. A key role in this scheme is the aggregator, who can act as a "flexibility provider" collecting the available flexibility from the consumers. Under this paradigm, this paper proposes a flexibility market led by the DSO and aimed at solving distribution grid congestions. The proposal also includes a flexibility market clearing algorithm, which is easy to implement, has low computational requirements and considers the energy rebound effect. The proposed design has the advantage of excluding the DSO's need for trading in energy markets. Also, the solution algorithm proposed is fully compatible with already existing grid analysis tools. The proposed electricity market is tested with two case studies from a real Spanish distribution network, where the proposed clearing algorithm is used, and finally, results are presented and discussed.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Flex-dlm Clearingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Distribution-Level Flexibility Market for Congestion Management

2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…The market clearing problems in [18]- [20] formulated as NLP models are solved by the DSO to minimize flexibility procurement costs. Moreover, a real-time DFM and the probability analysis-based method were developed in [19] and [20] to deal with uncertainties of flexibility resources. However, in these DFM frameworks, the imbalance cost due to rescheduling energy schedules after the day-ahead energy market clearing is not considered.…”

Section: Incentive-based Programsmentioning

confidence: 99%

“…Constraints (14)- (18) are the operation constraints of EVs and HPs, as described in (2)- (6). The increased dayahead energy costs of EVs and HPs are calculated in (19).…”

Section: N T E T H E N H N T a N T E T H E Nmentioning

confidence: 99%

ADMM-based market clearing and optimal flexibility bidding of distribution-level flexibility market for day-ahead congestion management of distribution networks

Shen

Jin

et al. 2020

International Journal of Electrical Power & Energy Systems

View full text Add to dashboard Cite

 Users may download and print one copy of any publication from the public portal for the purpose of private study or research.  You may not further distribute the material or use it for any profit-making activity or commercial gain  You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

show abstract