Minimizing commercial building cost in Smart Grid: An optimal meeting scheduling approach

Chai, Bo; Costa, Alberto; Huang, Shisheng; Yuen, Chau; Yang, Zaiyue

doi:10.1109/smartgridcomm.2014.7007740

Cited by 11 publications

(2 citation statements)

References 16 publications

(25 reference statements)

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“…• MIP has been widely used in smart grid for designing energy management schemes such as in [48]- [50] and [51]. Therefore, it is a well accepted method for energy trading design within a smart grid paradigm.…”

Section: Mip Approach With Ev Classificationmentioning

confidence: 99%

Cost Minimization of Charging Stations With Photovoltaics: An Approach With EV Classification

Tushar

Yuen

Huang

et al. 2016

IEEE Trans. Intell. Transport. Syst.

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195

108

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Abstract-This paper proposes a novel electric vehicle (EV) classification scheme for a photovoltaic (PV) powered EV charging station (CS) that reduces the effect of intermittency of electricity supply as well as reducing the cost of energy trading of the CS. Since not all EV drivers would like to be environmentally friendly, all vehicles in the CS are divided into three categories: 1) premium, 2) conservative, and 3) green, according to their charging behavior. Premium and conservative EVs are considered to be interested only in charging their batteries, with noticeably higher rate of charging for premium EVs. Green vehicles are more environmentally friendly, and thus assist the CS to reduce its cost of energy trading by allowing the CS to use their batteries as distributed storage. A different charging scheme is proposed for each type of EV, which is adopted by the CS to encourage more EVs to be green. A basic mixed integer programming (MIP) technique is used to facilitate the proposed classification scheme. It is shown that the uncertainty in PV generation can be effectively compensated, along with minimization of total cost of energy trading to the CS, by consolidating more green EVs. Real solar and pricing data are used for performance analysis of the system. It is demonstrated that the total cost to the CS reduces considerably as the percentage of green vehicles increases, and also that the contributions of green EVs in winter are greater than those in summer.

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Section: Mip Approach With Ev Classificationmentioning

confidence: 99%

Cost Minimization of Charging Stations With Photovoltaics: An Approach With EV Classification

Tushar

Yuen

Huang

et al. 2016

IEEE Trans. Intell. Transport. Syst.

Self Cite

195

108

View full text Add to dashboard Cite

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“…Let us define a circular shift operator denoted by F (. ), which re-arranges the entries of a vector by shifting them one unit to the right and moving the last entry to the first position 4 . The scheduling algorithm for a specified sequence of shiftable devices at the home controller of customer j is given as Algorithm 1.…”

Section: A Sub-problem 1: For Shiftable Loadsmentioning

confidence: 99%

Customer Engagement Plans for Peak Load Reduction in Residential Smart Grids

Hassan

Khalid

Yuen

et al. 2015

IEEE Trans. Smart Grid

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Abstract-In this paper, we propose and study the effectiveness of customer engagement plans that clearly specify the amount of intervention in customer's load settings by the grid operator for peak load reduction. We suggest two different types of plans, including Constant Deviation Plans (CDPs) and Proportional Deviation Plans (PDPs). We define an adjustable reference temperature for both CDPs and PDPs to limit the output temperature of each thermostat load and to control the number of devices eligible to participate in Demand Response Program (DRP). We model thermostat loads as power throttling devices and design algorithms to evaluate the impact of power throttling states and plan parameters on peak load reduction. Based on the simulation results, we recommend PDPs to the customers of a residential community with variable thermostat set point preferences, while CDPs are suitable for customers with similar thermostat set point preferences. If thermostat loads have multiple power throttling states, customer engagement plans with less temperature deviations from thermostat set points are recommended. Contrary to classical ON/OFF control, higher temperature deviations are required to achieve similar amount of peak load reduction. Several other interesting tradeoffs and useful guidelines for designing mutually beneficial incentives for both the grid operator and customers can also be identified.Index Terms-Smart grid, user inconvenience, peak load, customer engagement plan, demand response. NOMENCLATURE KNumber of operable states of thermostat loads.Number of operable states of thermostat load i of customer j. k Index of each operable state of thermostat load. J Number of customers in the residential community. I Set of flexible loads for which customer engagement plans are defined. I T Set of thermostat loads for which customer engagement plans are defined. I S Set of shiftable loads for which customer engagement plans are defined.Set of thermostat loads used for cooling for which customer engagement plans are defined.Set of thermostat loads used for heating for which customer engagement plans are defined. Constant value representing the maximum temperature deviation for thermostat load i. △θ j,i Inconvenience severity experienced by customer j for thermostat load i. θ j,i (t) Output temperature of thermostat load i of customer j. θ Actual start time of shiftable load i of customer j.

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