2019 IEEE PES/IAS PowerAfrica 2019
DOI: 10.1109/powerafrica.2019.8928813
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Towards Locational Marginal Pricing Model for Nigerian Electricity Tariff Structure using Optimal Power Flow Computation

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Cited by 4 publications
(3 citation statements)
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“…The tariff system in (10) is based on a simple arithmetic operations of rational numbers. This is less computationally expensive than current approaches based on optimization [16][17][18][19][20][21], which are numerically implemented with iterative algorithms normally based on repetitive inverse matrix computations. In this sense, the proposed tariff system results in shorter processing time than those based on optimization programs.…”
Section: Formulation Of the Tariff Systemmentioning
confidence: 99%
See 1 more Smart Citation
“…The tariff system in (10) is based on a simple arithmetic operations of rational numbers. This is less computationally expensive than current approaches based on optimization [16][17][18][19][20][21], which are numerically implemented with iterative algorithms normally based on repetitive inverse matrix computations. In this sense, the proposed tariff system results in shorter processing time than those based on optimization programs.…”
Section: Formulation Of the Tariff Systemmentioning
confidence: 99%
“…However, together with the complexity of the approach, a change in the conditions (an increment in DG penetration for example) requires a new run of the algorithm and a new set of parameters. In [16], a Local Marginal Pricing (LMP) approach is extended to a tariff for the Nigerian case. As the focus is cost representativeness, the impact of a LMP formulation complexity on a distribution customer level did not capture particular attention.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, research work has been carried out on transmission network planning of the power market. In the power market, the power price is quoted by generators and users according to their generation costs and consumption benefits, which forms correct price signals and guides the optimal allocation of network resources [14,15]. Based on the game theory [16,17], the transmission network planning method considering the behavior of generators and the planning decision of the transmission network is studied.…”
Section: Introductionmentioning
confidence: 99%