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Load shifting

About: Load shifting is a(n) research topic. Over the lifetime, 973 publication(s) have been published within this topic receiving 15990 citation(s). The topic is also known as: cargo shifting.

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Papers
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Journal ArticleDOI: 10.1109/TSG.2012.2195686
Abstract: Demand side management (DSM) is one of the important functions in a smart grid that allows customers to make informed decisions regarding their energy consumption, and helps the energy providers reduce the peak load demand and reshape the load profile. This results in increased sustainability of the smart grid, as well as reduced overall operational cost and carbon emission levels. Most of the existing demand side management strategies used in traditional energy management systems employ system specific techniques and algorithms. In addition, the existing strategies handle only a limited number of controllable loads of limited types. This paper presents a demand side management strategy based on load shifting technique for demand side management of future smart grids with a large number of devices of several types. The day-ahead load shifting technique proposed in this paper is mathematically formulated as a minimization problem. A heuristic-based Evolutionary Algorithm (EA) that easily adapts heuristics in the problem was developed for solving this minimization problem. Simulations were carried out on a smart grid which contains a variety of loads in three service areas, one with residential customers, another with commercial customers, and the third one with industrial customers. The simulation results show that the proposed demand side management strategy achieves substantial savings, while reducing the peak load demand of the smart grid.

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Topics: Smart grid (68%), Load balancing (electrical power) (62%), Load profile (61%) ...read more

929 Citations


Open access
Chua-Liang Su1, Daniel S. Kirschen1Institutions (1)
01 Oct 2007-
Abstract: It is widely agreed that an increased participation of the demand side in the electricity markets would produce benefits not only for the individual consumers but also for the market as a whole. This paper proposes a method for quantifying rigorously the effect that such an increase would have on the various categories of market participants. A new centralized complex-bid market-clearing mechanism has been devised to take into consideration the load shifting behavior of consumers who do submit price-sensitive bids. The effects of the proportion of demand response on the market are illustrated using a test system with ten generating units scheduled over 24 periods.

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Topics: Demand response (64%), Load shifting (53%)

417 Citations


Journal ArticleDOI: 10.1016/J.ENPOL.2011.10.016
Sebastian Gottwalt1, Wolfgang Ketter2, Carsten Block3, John Collins4  +1 moreInstitutions (4)
01 Dec 2011-Energy Policy
Abstract: Within the next years, consumer households will be increasingly equipped with smart metering and intelligent appliances. These technologies are the basis for households to better monitor electricity consumption and to actively control loads in private homes. Demand side management (DSM) can be adopted to private households. We present a simulation model that generates household load profiles under flat tariffs and simulates changes in these profiles when households are equipped with smart appliances and face time-based electricity prices. We investigate the impact of smart appliances and variable prices on electricity bills of a household. We show that for households the savings from equipping them with smart appliances are moderate compared to the required investment. This finding is quite robust with respect to variation of tariff price spreads and to different types of appliance utilization patterns. Finally, our results indicate that electric utilities may face new demand peaks when day-ahead hourly prices are applied. However, a considerable amount of residential load is available for shifting, which is interesting for the utilities to balance demand and supply.

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Topics: Load shifting (50%)

389 Citations


Open accessJournal ArticleDOI: 10.1109/TSG.2013.2282504
Ye Yang1, Hui Li1, Andreas Aichhorn, Jianping Zheng1  +1 moreInstitutions (1)
Abstract: This paper proposes an effective sizing strategy for distributed battery energy storage system (BESS) in the distribution networks under high photovoltaic (PV) penetration level. The main objective of the proposed method is to optimize the size of the distributed BESS and derive the cost-benefit analysis when the distributed BESS is applied for voltage regulation and peak load shaving. In particular, a system model that includes a physical battery model and a voltage regulation and peak load shaving oriented energy management system (EMS) is developed to apply the proposed strategy. The cost-benefit analysis presented in this paper considers factors of BESS influence on the work stress of voltage regulation devices, load shifting and peaking power generation, as well as individual BESS cost with its lifetime estimation. Based on the cost-benefit analysis, the cost-benefit size can be determined for the distributed BESS.

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Topics: Voltage regulation (60%), Stand-alone power system (56%), Load shifting (51%) ...read more

295 Citations


Journal ArticleDOI: 10.1109/TPWRD.2012.2219598
A. Arabali1, M. Ghofrani1, M. Etezadi-Amoli1, M. S. Fadali1  +1 moreInstitutions (1)
Abstract: This paper proposes a new strategy to meet the controllable heating, ventilation, and air conditioning (HVAC) load with a hybrid-renewable generation and energy storage system. Historical hourly wind speed, solar irradiance, and load data are used to stochastically model the wind generation, photovoltaic generation, and load. Using fuzzy C-Means (FCM) clustering, these data are grouped into 10 clusters of days with similar data points to account for seasonal variations. In order to minimize cost and increase efficiency, we use a GA-based optimization approach together with a two-point estimate method. Minimizing the cost function guarantees minimum PV and wind generation installation as well as storage capacity selection to supply the HVAC load. Different scenarios are examined to evaluate the efficiency of the system with different percentages of load shifting. The maximum capacity of the storage system and excess energy are calculated as the most important indices for energy efficiency assessment. The cumulative distribution functions of these indices are plotted and compared. A smart-grid strategy is developed for matching renewable energy generation (solar and wind) with the HVAC load.

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Topics: Wind power (60%), Load management (59%), Renewable energy (56%) ...read more

265 Citations


Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20225
202197
202097
201984
201889
2017112

Top Attributes

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Topic's top 5 most impactful authors

Patrick Jochem

8 papers, 150 citations

Friederich Kupzog

5 papers, 68 citations

Stefan Feuerriegel

5 papers, 128 citations

Paul Gerard Tuohy

5 papers, 21 citations

Wolf Fichtner

5 papers, 65 citations

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