The Modeling Language AIMMS

Bisschop, J. J.; Roelofs, Marcel

doi:10.1007/978-1-4613-0215-5_6

Cited by 44 publications

(50 citation statements)

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“…In both, P2P and MVDC configurations, all available active network management schemes in the base case are used, in addition to the control actions of the VSCs. The D-SCOPF algorithm described in Section 2 has been implemented in AIMMS [33]. The optimisation problem is solved using CONOPT 3.14V on a PC of 3.5 GHz and 8 GB RAM.…”

Section: Case Study and Resultsmentioning

confidence: 99%

Security-Constrained Day-Ahead Operational Planning for Flexible Hybrid AC/DC Distribution Networks

2019

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A new active network management framework is presented based on a multi-period optimal power flow problem that is bounded by security constraints at the distribution level for upholding the security of supply. This can be achieved through active engagement with flexible demand and distributed generation to prepare for contingency events in day-ahead operational planning. This framework is coupled with a flexible hybrid AC/DC medium voltage (MV) distribution network topology. It contains an integrated multi-terminal medium voltage DC (MVDC) interface for a seamless interaction and integration of the flexible demand and generation on both AC and DC sides of the hybrid network. The active energy management framework when coupled with a flexible hybrid AC/DC topology provides unprecedented degrees of flexibility as well as security of operation under a variety of conditions. To this end, the 75-bus UK generic distribution network has been modified and converted into a hybrid AC/DC network using the integrated MVDC interface. This framework is then deployed to minimise operational costs to the network operator, considering costs of schemes such as distributed generation curtailment and flexible demand shifting, as well as network losses. Results show a significant improvement in operational costs when the network operates as a flexible hybrid when compared to a pure AC or a more conventional AC/DC hybrid.

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Section: Case Study and Resultsmentioning

confidence: 99%

Security-Constrained Day-Ahead Operational Planning for Flexible Hybrid AC/DC Distribution Networks

2019

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“…This optimisation problem has been formulated in AIMMS modelling environment [18]. The problem is solved using KNITRO 9.0 on a PC of 3.5 GHz and 8 GB RAM.…”

Section: Case Studies and Resultsmentioning

confidence: 99%

“…The full optimal operation planning in period M m  is formulated as a full AC optimal power flow problem as below: The objective function is given by (16) to minimise the DG curtailment and system losses in terms of operational cost that is aggregated with cost coefficients, c 1 and c 2 at 97.46 $MW -2 h -1 and 0.8959 $MW -1 h -1 , respectively. The active and reactive power limits that flow through the primary substation transformer are given by (17) and (18). The operating boundary of DG in (19) is used to correlate with the available resources.…”

Section: Appendix A: Full Opf Formulationmentioning

confidence: 99%

Operational planning and optimisation in active distribution networks using modern intelligent power flow controllers

Ibrahim

Kazemtabrizi

Dent

2016

2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

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In this paper, a centralised control framework is introduced for day-ahead operational planning of active distribution networks which accommodate high levels of distributed generation resources. The purpose of the framework is to plan network operation in order to minimise power curtailment from distributed generation and maintaining acceptable levels of voltage regulation throughout the network. For this purpose, both power flow control and rapid network reconfiguration have been considered as various acceptable levels of control available to the network operator to provide required levels of operational flexibility. The power flow control within the network is promised by the application of fully controlled back-back voltage source converters placed in key points (both normally-open and normally-close) in the network. Meanwhile, the network reconfiguration constraints guarantee that radial topology is always maintained in order to avoid tremendous changes in the protection system coordination. The operation of a modified 33-bus system exemplar is analysed in three case studies namely, passive network (base case), active network using remote-controlled switches and active network using intelligent power converters. Results show a significant saving in terms of operational costs as well as transmission losses in active cases despite the radial constraint condition in place.

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“…A study using real data was used to assess the performance of the proposed models in optimizing a large‐scale problem. The proposed models were implemented in AIMMS – Advanced Integrated Multidimensional Modeling Software (Bisschop and Roelofs, 1997) – and solved with the CPLEX 11.0 solver. The computational characteristics of the models are described in Table 4.…”

Section: Results Of the Computational Studymentioning

confidence: 99%

Optimization under uncertainty of the integrated oil supply chain using stochastic and robust programming

Ribas

Hamacher²,

Street

2010

Int Trans Operational Res

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This paper proposes the development of a strategic planning model for an integrated oil chain considering three sources of uncertainty: crude oil production, demand for refined products and market prices. To deal with these uncertainties, three formulations are proposed: (1) a two-stage stochastic model with a finite number of realizations, (2) a robust min-max regret model and (3) a max-min model. These models were applied to Brazil's oil chain, comprising 17 refineries and three main petrochemical plants, 16 groups of crude oils, 50 intermediate products, 10 final products, 13 terminals and a logistic network composed of 278 transportation arcs relative to the road, water, rail and pipeline modes. The time horizon analyzed covers 10 years. The results indicate significant financial differences between the three formulations, depending on the agent's risk profile.

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The Modeling Language AIMMS

Cited by 44 publications

References 0 publications

Security-Constrained Day-Ahead Operational Planning for Flexible Hybrid AC/DC Distribution Networks

Security-Constrained Day-Ahead Operational Planning for Flexible Hybrid AC/DC Distribution Networks

Operational planning and optimisation in active distribution networks using modern intelligent power flow controllers

Optimization under uncertainty of the integrated oil supply chain using stochastic and robust programming

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