Analysis of Energy Savings of CVR Including Refrigeration Loads in Distribution Systems

Wang, Jun; Raza, Ashhar; Hong, Tianqi; Sullberg, Adriana Cisco; León, Francisco de; Huang, Qi

doi:10.1109/tpwrd.2017.2710147

Cited by 31 publications

(6 citation statements)

References 22 publications

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“…The rearrangement of sampling values based on CD is performed as follows: randomly generate a matrix L of size equal to that of X, where the nth row vector corresponds to the random variable of the nth row in the matrix X. The correlation coefficient matrix λ L is decomposed into a nonsingular triangular matrix D by CD in (5).…”

Section: Generation Of Day-ahead Multiload Scenarios Based On Lhsmentioning

confidence: 99%

Economic scheduling method for voltage‐dependent loads in a power system based on a multitime scale framework

Niu,

Tian,

Fang

et al. 2024

IET Renewable Power Gen

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There are many voltage‐dependent loads (VDLs) in power systems. When the unit reserve supply is low, the transmission network adjusts the voltage of grid‐connected nodes to provide additional resources. Many reactive power devices with different regulatory performance levels and timescales must be coordinated to employ flexible VDLs to the maximum extent, and consequently, a transient stability‐constrained optimal power flow (TSCOPF) problem with mixed integers and multiperiod coupling must be solved. A multitimescale scheduling ‘day‐ahead‐intraday‐real‐time’ framework is designed for the optimal economic scheduling of VDLs. In the day‐ahead stage, the optimal scheduling period of the discrete reactive power control devices is determined. In the intraday stage, a rolling optimization model based on model predictive control is established, and the specific action times of the discrete reactive power devices are determined. In the real‐time stage, the optimal regulation strategy of the continuous reactive power control device is optimized by rolling. Then, to consider the speed and accuracy of the solution at the same time, a continuous sensitivity correction method is adopted to simplify and solve the original model. Finally, with a modified IEEE‐39 system and a modified IEEE‐118 system as examples, it is verified that the multitimescale scheduling framework maximizes the exploitation of the flexible resources of VDLs to ensure voltage security and stability and improve the economy of system operation under different scenarios.

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Section: Generation Of Day-ahead Multiload Scenarios Based On Lhsmentioning

confidence: 99%

Economic scheduling method for voltage‐dependent loads in a power system based on a multitime scale framework

Niu,

Tian,

Fang

et al. 2024

IET Renewable Power Gen

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show abstract

“…The CVR implementation is the goal of most electrical appliance providers [8]. Several CVR implementation strategies have been discussed in studies by [4,9,10], and studies on the advantages of CVR in terms of energy savings and loss reductions have been conducted by [11][12][13]. Peak load shaving that is achieved through implementing CVR can benefit utilities; the reduction in endpoint voltages (through CVR) reduces the power consumption of resistive loads (incandescent lights) and constant current loads which benefits end consumers.…”

Section: Literature Reviewmentioning

confidence: 99%

Energy Savings for Various Residential Appliances and Distribution Networks in a Malaysian Scenario

et al. 2023

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This paper presents a detailed study of the energy savings that can be achieved through residential appliances by implementing conservation voltage reduction (CVR). The computed energy savings are derived from the ZIP coefficients of a load model (static) under varying voltage conditions that represent the power consumed by each appliance tested. Multiple studies have shown energy savings at the substation level but not at the level of a specific residence and appliance; hence, the latter is the focus of this analysis. The appliances are determined based on the type of heating and cooling loads, and the daily duration of use for each appliance, which contributes to the total monthly consumption that is billed for a household are included in this study. Energy savings in Malaysia has been a focus of many current studies, and this study is the first attempt to achieve energy savings through the implementation of CVR. No published work has compared individual appliances that truly benefits from CVR, and this is addressed in this study. The main contribution of this study is that it provides very detailed and measured data that are used to analyze and generate energy savings for very specific residential appliances intended to meet every 1% voltage drop. The load model is developed for the common household appliances in Malaysia, and then a voltage reduction study is applied to the appliances as well as the Malaysian distribution networks. Here, we also provide insight for performing voltage reduction at an electric vehicle (EV) charging station in Malaysia. The results of this study should serve as a foundation for all practicing utilities engineers to address the issue of CVR in Malaysia. The CVR factors for residential, commercial, and industrial networks in Malaysia are also published in this paper.

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“…Reducing energy consumption and minimizing power system losses have been the subjects of many investigations over several decades [14], [15] and [16]. The use of VVC to minimize medium voltage (MV) losses on distribution networks has also been investigated by a number of studies globally ( [17], [18], [19]) with voltage control achieved using network control devices such as switchable capacitors, on-load tap changer (OLTC) transformers and tie switches for meshing and with monitoring provided by AMI and SCADA systems.…”

Section: Introductionmentioning

confidence: 99%

“…The use of VVC to minimize medium voltage (MV) losses on distribution networks has also been investigated by a number of studies globally ( [17], [18], [19]) with voltage control achieved using network control devices such as switchable capacitors, on-load tap changer (OLTC) transformers and tie switches for meshing and with monitoring provided by AMI and SCADA systems. For example, quadratic programming was used to minimize total energy loss through the installation and scheduled switching of static capacitors in a step by step iterative procedure in [14]. A centralized, three phases AC OPF-based CVR scheme was implemented as a mixed integer nonlinear program in [20] to minimize the overall energy consumption of a PV-rich unbalanced MV-low voltage (LV) distribution network in the UK.…”

Section: Introductionmentioning

confidence: 99%

CVR and Loss Optimization Through Active Voltage Management: A Trade-off Analysis

Gharaviahangar

Ochoa

Liu

et al. 2021

IEEE Trans. Power Delivery

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Analysis of Energy Savings of CVR Including Refrigeration Loads in Distribution Systems

Cited by 31 publications

References 22 publications

Economic scheduling method for voltage‐dependent loads in a power system based on a multitime scale framework

Economic scheduling method for voltage‐dependent loads in a power system based on a multitime scale framework

Energy Savings for Various Residential Appliances and Distribution Networks in a Malaysian Scenario

CVR and Loss Optimization Through Active Voltage Management: A Trade-off Analysis

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