Peak Load Management in Electrolytic Process Industries

Babu, C. A.; Ashok, S.

doi:10.1109/tpwrs.2008.920732

Cited by 152 publications

(65 citation statements)

References 12 publications

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“…Equation (15) represents the cost of using the nth-type ACLs to cut down the peak load at time t in scenario s. It follows the same calculation pattern of Equation (6). Generally, the start-up cost of generators is described by an exponential function.…”

Section: Objective Functionmentioning

confidence: 99%

“…In order to supply the excessive load during the peak period, many approaches have been proposed. The traditional approach was to set up new power plants with the capability of peak addition, requiring huge capital investment and planning time [6]. A recently proposed approach was to utilize electric energy storages to adjust the peak load [7,8].…”

Section: Introductionmentioning

confidence: 99%

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Stochastic Unit Commitment of Wind-Integrated Power System Considering Air-Conditioning Loads for Demand Response

Han

Zhou

et al. 2017

Applied Sciences

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Abstract:As a result of extensive penetration of wind farms into electricity grids, power systems face enormous challenges in daily operation because of the intermittent characteristics of wind energy. In particular, the load peak-valley gap has been dramatically widened in wind energy-integrated power systems. How to quickly and efficiently meet the peak-load demand has become an issue to practitioners. Previous literature has illustrated that the demand response (DR) is an important mechanism to direct customer usage behaviors and reduce the peak load at critical times. This paper introduces air-conditioning loads (ACLs) as a load shedding measure in the DR project. On the basis of the equivalent thermal parameter model for ACLs and the state-queue control method, a compensation cost calculation method for the ACL to shift peak load is proposed. As a result of the fluctuation and uncertainty of wind energy, a two-stage stochastic unit commitment (UC) model is developed to analyze the ACL users' response in the wind-integrated power system. A simulation study on residential and commercial ACLs has been performed on a 10-generator test system. The results illustrate the feasibility of the proposed stochastic programming strategy and that the system peak load can be effectively reduced through the participation of ACL users in DR projects.

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Section: Objective Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Stochastic Unit Commitment of Wind-Integrated Power System Considering Air-Conditioning Loads for Demand Response

Han

Zhou

et al. 2017

Applied Sciences

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“…In [29] an open loop optimal control model is developed and simulated for an electrolytic process (chlorine) plant in India that is charged on both TOU and MD. The problem is formulated as a discrete time linear problem and is solved using mixed integer non-linear programming (MINLP).…”

Section: Open Loop Optimal Control Models With Tou and MD Chargesmentioning

confidence: 99%

“…However, in South African tariffs the MD charges are higher in relation to the TOU charges [5], and it is expected that the MD charges will play a more significant role in South Africa. For example, the MD charges in [29] would account for approximately 7% of the total electricity cost for a constant load over a month, whilst the MD charges in South Africa for the same scenario would account for approximately 15% (high demand season) [5].…”

Section: Open Loop Optimal Control Models With Tou and MD Chargesmentioning

confidence: 99%

A model predictive control strategy for load shifting in a water pumping scheme with maximum demand charges

2011

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SUMMARYThe aim of this research is to affirm the application of closed-loop optimal control for load shifting in plants with electricity tariffs that include time-of-use (TOU) and maximum demand (MD) charges. The water pumping scheme of the Rietvlei water purification plant in the Tshwane municipality (South Africa) is selected for the case study. The objective is to define and simulate a closed-loop load shifting (scheduling) strategy for the Rietvlei plant that yields the maximum potential cost saving under both TOU and MD charges. SLEUTELWOORDEModel voorspellende beheer, las verskuiwing, maksimum aanvraag, optimale beheer.

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“…4) Different case studies are presented based on a practical scenario based on a steel mill industry model. This paper can be compared, e.g., with [16] and [18]- [22]. In [18], the benefits and challenges in ILC-based demand response are discussed; however, no specific design formulation is presented.…”

Section: Introductionmentioning

confidence: 99%

Optimal Industrial Load Control in Smart Grid

Gholian

Mohsenian‐Rad

Hua

2016

IEEE Trans. Smart Grid

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Abstract-In this paper, we investigate optimal load control in industrial sector, which involves several new and distinct research problems. For example, while most residential appliances operate independently, industrial units are highly interdependent and must follow certain operational sequences. Also, unlike residential appliances, the operation of industrial units may span across multiple days and involve multiple batch cycles. Furthermore, in industries with process control, energy management is often coupled with material flow management. The design in this paper is comprehensive and addresses industrial load control under various smart electricity pricing scenarios, including day-ahead pricing, time-of-use pricing, peak pricing (PP), inclining block rates, and critical PP. The use of behind-the-meter renewable generator and energy storage is also considered. The formulated optimization problem is a tractable mixed-integer linear program. Different case studies are presented based on a practical energy-extensive steel mill industry model. Index Terms-Batch processes, demand side management, industrial load control (ILC), optimal energy scheduling, smart pricing.

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Peak Load Management in Electrolytic Process Industries

Cited by 152 publications

References 12 publications

Stochastic Unit Commitment of Wind-Integrated Power System Considering Air-Conditioning Loads for Demand Response

Stochastic Unit Commitment of Wind-Integrated Power System Considering Air-Conditioning Loads for Demand Response

A model predictive control strategy for load shifting in a water pumping scheme with maximum demand charges

Optimal Industrial Load Control in Smart Grid

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