Load forecasting, dynamic pricing and DSM in smart grid: A review

Khan, Ahsan Raza; Mahmood, Anzar; Safdar, Awais; Khan, Zafar A.; Khan, Naveed Ahmed

doi:10.1016/j.rser.2015.10.117

Cited by 359 publications

(181 citation statements)

References 51 publications

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“…Rational use of electricity price policy can both meet the demand of consumers and make the power enterprises profitable. TOU tariff is an incentive method of price implemented by the power enterprises in DSM [55][56][57], and the policy is helpful to the stabilization of the load curve and the operation cost reduction of the power system.…”

Section: The Definition Of Tou Tariffmentioning

confidence: 99%

A review on the influence of intelligent power consumption technologies on the utilization rate of distribution network equipment

He¹,

Chen²,

Yang

et al. 2018

Prot Control Mod Power Syst

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The economy of distribution networks largely depends on the utilization rate of distribution network equipment. Most of the emerging intelligent power consumption technologies have a positive effect on equipment utilization and their use can save investment of distribution networks. In this paper, the influence of intelligent power consumption technologies on the utilization rate of distribution network equipment is reviewed. The evaluation methods and indexes are assessed first and then intelligent power consumption equipment with energy storage function, vehicle-to-grid (V2G) technology and time-of-use (TOU) tariff are reviewed respectively. It is concluded that these intelligent power consumption technologies and measures have great potential to improve utilization rate of distribution network equipment because of their effective improvement to power load. Meanwhile, recommendations on how to utilize these intelligent power consumption technologies to improve utilization rate of distribution network equipment are proposed.

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Section: The Definition Of Tou Tariffmentioning

confidence: 99%

A review on the influence of intelligent power consumption technologies on the utilization rate of distribution network equipment

He¹,

Chen²,

Yang

et al. 2018

Prot Control Mod Power Syst

View full text Add to dashboard Cite

show abstract

“…The utilities implement DSM programs to manage demands on the consumer side of the meter. The primary DSM objectives include energy efficiency, Energies 2017, 10, 501 8 of 47 peak load management; load shifting, rebound peak shifting, valley filling, strategically addressing load growth and reshaping demands [50,51]. DSM allows consumers "freedom of choice" regarding decision making in their energy consumption and enables utilities to reduce peak load demands [52].…”

Section: Demand Side Management (Dsm) and Demand Response (Dr)mentioning

confidence: 99%

“…The key SG enabling technologies for "efficient grids" primarily consist of advanced forecasting support for optimized operations (generation-load balance) [30], DR for energy management support at small levels [53] and greenhouse gas (GHG) emission control [5]. Also, DSM on a large scale proactively addresses complex consumption dynamics (utilities' and consumers' behaviors); with the support of (ICT) and dynamic pricing schemes, respectively [50]. In addition, advanced active network management (ANM) techniques mentioned in [54] and enhanced outage management systems (OMS) described in [6]; have expected to play a vital role in optimized asset utilization.…”

mentioning

confidence: 99%

Smart Distribution Networks: A Review of Modern Distribution Concepts from a Planning Perspective

et al. 2017

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Smart grids (SGs), as an emerging grid modernization concept, is spreading across diverse research areas for revolutionizing power systems. SGs realize new key concepts with intelligent technologies, maximizing achieved objectives and addressing critical issues that are limited in conventional grids. The SG modernization is more noticeable at the distribution grid level. Thus, the transformation of the traditional distribution network (DN) into an intelligent one, is a vital dimension of SG research. Since future DNs are expected to be interconnected in nature and operation, hence traditional planning methods and tools may no longer be applicable. In this paper, the smart distribution network (SDN) concept under the SG paradigm, has presented and reviewed from the planning perspective. Also, developments in the SDN planning process have been surveyed on the basis of SG package (SGP). The package presents a SDN planning foundation via major SG-enabling technologies (SGTF), anticipated functionalities (SGAF), new consumption models (MDC) as potential SDN candidates, associated policies and pilot projects and multi-objective planning (MOP) as a real-world optimization problem. In addition, the need for an aggregated SDN planning model has also been highlighted. The paper discusses recent notable related works, implementation activities, various issues/challenges and potential future research directions; all aiming at SDN planning.

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“…A review of load forecasting, dynamic pricing, and demand side response (DSM) is done in [8]. DSM is an approach for planning, implementing and monitoring the energy consumption during the peak time.…”

Section: A Demand Response and Sustainabilitymentioning

confidence: 99%

Encouraging Renewable Energy Consumption Through Dynamic Pricing

Brito¹,

Farias²,

Pìrmez³

et al. 2016

Proceedings of ICT for Sustainability 2016

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Abstract-Smart Grids are smart networks of energy transmission and distribution that enable a two-way communication between the consumer and distributor. Smart Grids are important for energy sustainability and environmental preservation avoiding the non-renewable energy consumption since decentralized suppliers are able to supply energy demands through renewable energy. It will be possible to encourage renewable energy consumption using a dynamic pricing adopting different prices to each energy source. Some network and security issues arise with that network communication like if it will be able to calculate the price in a suitable time interval. So a challenge is to analyze the impact of ICT on this operation. We analyzed the impact of a dynamic pricing on consumption changes and energy generation, and the delay time to calculate the price in a clustered network architecture.

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Load forecasting, dynamic pricing and DSM in smart grid: A review

Cited by 359 publications

References 51 publications

A review on the influence of intelligent power consumption technologies on the utilization rate of distribution network equipment

A review on the influence of intelligent power consumption technologies on the utilization rate of distribution network equipment

Smart Distribution Networks: A Review of Modern Distribution Concepts from a Planning Perspective

Encouraging Renewable Energy Consumption Through Dynamic Pricing

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