Demand Side Energy Management for Linear Programming Method

Loganathan, N.; Lakshmi, K.

doi:10.11591/telkomnika.v14i1.7570

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…It charges consumer based on their usage hour with different price. It is known that demand response can efficiently help reducing peak demand in daily consumption [1]. However, differing from Real Time Pricing varies all the time based on the wholesale market price, TOU prices is fixed within the same period.…”

Section: Introductionmentioning

confidence: 99%

Impact of Different Time of Use Electricity Pricing Structure on Residential Consumer

Azman¹,

Abdullah²,

Hassan³

et al. 2018

IJEECS

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<span>Load profile for residential users is different from commercial users where peak load occurs outside of work hours compared to working hours. Consequently, the Time of Use-based electricity price must be different not only in terms of price, but also in terms of time block structure. This paper examines the impacts of different TOU structures on TOU prices and load profiles of residential consumer. Four TOU structures are tested on the real load profile for a selected residential consumer area in Malaysia. Two elasticity factors are used for each structure to represent two different groups of users, a group that responds highly to price changes and a group that does not. The TOU price set for each structure is determined optimally subject to the following constraints; the price difference between the TOU and a fixed price per hour should be minimized and the amount of difference between price increase and price drop should be equal. From the analysis, the TOU structure with 12-time blocks provides better price signals and peak load reduction.</span>

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Section: Introductionmentioning

confidence: 99%

Impact of Different Time of Use Electricity Pricing Structure on Residential Consumer

Azman¹,

Abdullah²,

Hassan³

et al. 2018

IJEECS

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Application of Linear Programming in Oil Production Distribution Networks: Literature Review

Salih¹,

Rubiani²

2020

IJRCS

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In the oil production distribution network, there are three main nodes, namely the supply node, the transshipment node, and the demand node. The pattern of distribution of oil production from the supply node to the demand node is very diverse and can affect the costs to be incurred. Therefore, a company must be able to determine the right distribution pattern, so that the costs incurred are optimal. This paper intends to conduct a study of how to determine and calculate the distribution patterns and the minimum total costs incurred, using the primal-dual linear program method. Based on the results of the case analysis, it is known that the number of supply commodities will be the same as the number of demand commodities, but the distribution from each source does not necessarily have the same capacity and costs. Therefore, the distribution pattern is determined based on the existing cost and capacity, so that cost optimization can be achieved.

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Demand Side Energy Management for Linear Programming Method

Cited by 2 publications

References 18 publications

Impact of Different Time of Use Electricity Pricing Structure on Residential Consumer

Impact of Different Time of Use Electricity Pricing Structure on Residential Consumer

Application of Linear Programming in Oil Production Distribution Networks: Literature Review

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