Optimal Power Dispatch Under Load Uncertainty Using a Stochastic Approximation Method

Hong, Tianqi; Raza, Ashhar; León, Francisco de

doi:10.1109/tpwrs.2016.2518205

Cited by 8 publications

(5 citation statements)

References 22 publications

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“…To perform economic power dispatch to attain the least cost of electricity generation, the fuel cost function of the generators becomes essential (Hong et al, 2016). This cost function is generally nonlinear and the quadratic cost representation is This Journal is licensed under a Creative Commons Attribution 4.0 International License precise and the most common one in practice where the fuel is oil, coal and gas, but also diesel generators, gas micro turbines, biomass power plants, fuel cells, etc.…”

Section: Generation -Demand Matchingmentioning

confidence: 99%

Energy Sustainability Through Generation Scheduling

Ramasamy

Wen

Palanichamy

2020

IJEEP

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In a modest electrical energy sector, an economical unit cost of electricity generation is inevitable. For tropical countries like Malaysia, apart from attractive energy cost, the environmental issues due to electricity sector also play a significant role because of its tropical nature. The energy cost and its related environmental concerns are of the momentous issues of the Malaysian Government. So as to resolve the concerned issues, this research presents a direct generation scheduling strategy to match demand against power generation, to augment opportunity for energy sustainability, and to offer an attractive unit electric energy cost. Besides, the same strategy aims at minimizing emissions due to thermal power plants through generation scheduling and incorporation of renewable energy systems.

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Section: Generation -Demand Matchingmentioning

confidence: 99%

Energy Sustainability Through Generation Scheduling

Ramasamy

Wen

Palanichamy

2020

IJEEP

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“…In this section, the normal distribution is used to fit the uncertainty of the load, where each constrained area is called a load mode. 27,28 To calculate the total value of the objective function, the effects of each load mode must be considered. To do this, each load mode must be applied separately to the network.…”

Section: Total Cost Of Dstatcommentioning

confidence: 99%

“…As the number of load modes increases, modeling accuracy will increase. In this section, the normal distribution is used to fit the uncertainty of the load, where each constrained area is called a load mode 27,28 . To calculate the total value of the objective function, the effects of each load mode must be considered.…”

Section: Uncertainty In the Placement Problemmentioning

confidence: 99%

Simultaneous sitting and sizing photovoltaic unit and distribution static compensator in distribution grid considering the effect of geographical conditions

Shalchi

Mozafari

Firouz

2020

Int J Numerical Modelling

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This paper proposes a model to allocate photovoltaic unit (PVU) and distribution static compensator (DSTATCOM) that incorporate the operation effect of PVU in sizing and sitting problem. The model is based on the dynamic assessment of PVU production and the effect of it on placement of PVU and DSTATCOM. Geographical conditions are interfered in placement problem of PVU and DSTATCOM simultaneously. The model is verified in a multi-objective form. The multi-objective problem is formulated based on voltage stability, liability, power loss and total cost of PVU and DSTATCOM. This problem is solved by employing optimization technique and the results of optimization processes are tested in different scenarios. Uncertainty in network loads is an inevitable task that should be considered in network planning. Uncertainty in the presented model has been defined as a set of divided parts in the presented model. The proposed model has been evaluated on two test system, 33-bus and 69-bus. The obtained results indicate that the presented model can be employed to study the intermittent behavior of PVU in placement problem.

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“…The interdependence between electric power and natural-gas networks has been increasing during the last few decades owing to the significantly increased employment of natural-gas fired generators [1]. In addition, the application of gas-fired generation towards balancing the fluctuations of electricity loads and intermittent renewable energy generations [2,3] offers a considerable operational challenge to gas networks [4]. As such, it is imperative to model the two energy sectors as an integrated energy system (IES) [5,6] to ensure the economical and secure operation of both networks.…”

Section: Motivationmentioning

confidence: 99%