Smart grid adaptive energy conservation and optimization engine utilizing Particle Swarm Optimization and Fuzzification

Manbachi, Moein; Farhangi, Hassan; Palizban, Ali; Arzanpour, Siamak

doi:10.1016/j.apenergy.2016.04.083

Cited by 44 publications

(7 citation statements)

References 39 publications

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“…These operations are calculated based on mathematical expressions given in (17) and (19). In addition, total tap operations of regulators and switching operations of capacitor units can be evaluated using (22) and 23, respectively…”

Section: Daily Taps and Switching Operations Of Vvc Devicesmentioning

confidence: 99%

“…Here, PQ and mix of PQ, I, and Z (shown with PQ/I/Z) modelling is widely used. However, few studies have also considered voltage-dependent models such as exponential [16] and ZIP model [15,17,[21][22][23][24]. Most of the existing work considered balanced (B) distribution systems and only a few have focused on unbalanced (UB) characteristics.…”

Section: Introductionmentioning

confidence: 99%

“…Most of the literatures have considered minimisation of real power losses (kW) and energy losses (kWh) with optimal coordination of VVC devices. Nonetheless, few studies [15,22] have focused on minimisation of kVA and kVAh losses. All the existing works in the literature focus only on the impacts of different VVC devices scheduling on power and energy losses.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effect of load models on scheduling of VVC devices in a distribution network

Satsangi

Kumbhar

2018

IET Generation, Transmission & Distribution

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Section: Daily Taps and Switching Operations Of Vvc Devicesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Effect of load models on scheduling of VVC devices in a distribution network

Satsangi

Kumbhar

2018

IET Generation, Transmission & Distribution

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“…In [12], the authors discuss the benefits of CVR. However, accurate determination of these benefits depends on accurate load models in the distribution system.…”

Section: Introductionmentioning

confidence: 99%

Framework to Develop Time- and Voltage-Dependent Building Load Profiles Using Polynomial Load Models

et al. 2021

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The power consumption of buildings over the course of each minute, hour, day and season plays a major role in how this load influences the Electric Power System voltage and frequency, and vice versa. This consumption is based on the building's load component types, efficiencies, and how they consume power and react to changes in real time. Due to this complexity, standard full-building load models are typically voltage-invariant. This paper proposes a novel framework to transform these voltage-invariant building load models into fully time-and voltage-dependent load profiles using available data on the voltage sensitivity of individual load components. While a voltage-dependent building model could theoretically be generated from static load models of every component in a building, this approach faces two challenges: first, load models representing all load components are impractical to develop for all possible load component types; second, building energy consumption is never measured or modeled at the individual component level. The proposed framework compiles available component data in the form of static ZIP load model parameters, and maps them into the end use categories utilized by standard building modeling programs. The voltage sensitivity of each end use category is then bounded by the extrema of the component models within it. This framework is applied to a load profile case study representing the aggregate U.S. residential building stock. In addition to the minimum/ maximum conditions, a load profile based on typical load composition and weighted ZIP parameters is generated for the same building stock. The results show that for a 10% drop in voltage, using the least sensitive ZIP parameters, active power is expected to be 3% to 14% lower than nominal, depending on the season and time of day. Using the most sensitive ZIP parameters, the active power is expected to be 9% to 20% lower than nominal, also depending on the season and time of day.

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“…The concept of alternative resources can be used to improve the efficiency of the use of systems and resources and has an important strategic role in the power industry and economic development and environmental protection. Its implementation can excavate terminal energy-saving capability to a great extent, and it is a necessary means and a powerful guarantee for achieving energy-saving and emission-reduction and improving efficiency [1] . At the same time, the outstanding feature of the smart grid is to use advanced information technologies to flexibly integrate and dispatch demand-side resources, achieve two-way interaction between information and electricity, and predict that there will be considerable progress and development in the future of the smart grid era.…”

Section: Introductionmentioning

confidence: 99%

Research on Electric Energy Meter Technology in the Background of Smart Grid Based on Particle Swarm Optimization Algorithm

Li¹,

Zhang²,

Zhang³

et al. 2018

Proceedings of the 2018 8th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2018)

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Abstract. With the continuous development of China's power electronics technology, the power sector's optimization and control efforts for various energy consuming manufacturing enterprises have also been significantly increased. At the same time, the energy problem has been seen as an urgent need to optimize the use of. The power parameters measured by traditional electric power monitoring instruments are too single. Compared with the increasingly complex power supply network, the overall monitoring of the power quality cannot be achieved. In view of this, in the background of smart grid based on binary ant colony optimization algorithm, a kind of power monitoring instrument based on ADE7758 is proposed in this paper. Compared with the previous power monitoring instrument, the central processor adopts ARM9 chip, which has fast processing speed, high precision of data, supports a variety of communication interfaces and the peripheral expansion function is strong.

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Smart grid adaptive energy conservation and optimization engine utilizing Particle Swarm Optimization and Fuzzification

Cited by 44 publications

References 39 publications

Effect of load models on scheduling of VVC devices in a distribution network

Effect of load models on scheduling of VVC devices in a distribution network

Framework to Develop Time- and Voltage-Dependent Building Load Profiles Using Polynomial Load Models

Research on Electric Energy Meter Technology in the Background of Smart Grid Based on Particle Swarm Optimization Algorithm

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