Coordinated Consumer Load Control by Use of Heat Pump Water Heaters for Voltage Rise Mitigation in Future Distribution System

Mufaris, A. L. M.; Baba, Jumpei

doi:10.1109/greentech.2015.14

Cited by 9 publications

(5 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the sake of brevity, the constant power model was adopted throughout all simulations of this study; this can be achieved by setting all load coefficients to zero [41,50]. Likewise, the constant power load model was also used to represent the DL; further details about ELC design and control of DL can be found in studies [9][10][11][12]. In a DCIMG, the LF method utilized must account for droop Equations ( 1) and (2), and hence the SBFS method was proposed in [14].…”

Section: Droop Control and Special Backward\forward Sweep (Sbfs) Load...mentioning

confidence: 99%

“…Utilization of DL in synchronous and asynchronous generator-side V − f regulation was achieved by means of electronic load controllers (ELC) for hydro and wind power generation disciplines [9,10]. Similarly, DLs were utilized in heating and pumping applications to enhance supply quality by means of power management and V − f control [11,12]. Nevertheless, few studies have addressed the use of DL as an EMS solution in DCIMG framework [13,14].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Mixed-Integer Distributed Ant Colony Optimization of Dump Load Allocation with Improved Islanded Microgrid Load Flow

Kreishan

Zobaa

2022

Energies

View full text Add to dashboard Cite

Dump load (DL) utilization at low demand hours in highly penetrated islanded microgrid is of great importance to offer voltage and frequency regulation. Additionally, load flow (LF) convergence is vital to optimize the working states of the DL allocation problem. Hence, more analysis is necessary to highlight the significance of DL in power regulation while observing the influence of LF on solution accuracy. This article proposes two LF techniques derived from backward/forward sweep (BFS), viz., general BFS (GBFS) and improved special BFS (SBFS-II). The latter is based on global voltage shared between generating units, while the former has a more general approach by considering generating bus’s local voltage. The optimal sizing and sitting of DL with optimum droop sets are determined using the mixed-integer distributed ant colony optimization (MIDACO) with the two new LF methods. The optimization problem was formulated to minimize voltage and frequency deviations as well as power losses. The problem was validated on IEEE 69- and 118-bus systems and compared with established metaheuristics. Results show that DL allocation using MIDACO with SBFS-II and GBFS has improved the solution speed and accuracy, respectively. Furthermore, the enhanced voltage and frequency results highlight DL as an efficient power management solution.

show abstract

Section: Droop Control and Special Backward\forward Sweep (Sbfs) Load...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mixed-Integer Distributed Ant Colony Optimization of Dump Load Allocation with Improved Islanded Microgrid Load Flow

Kreishan

Zobaa

2022

Energies

View full text Add to dashboard Cite

show abstract

“…The hot water demand (in kWh), however, is taken to be the same for all houses because of the unavailability of data. We approximate the water demand at 40 °C of the faucet water; the volume is referred to the data in , and other temperatures in Table .…”

Section: Case Studymentioning

confidence: 99%

“…To make the electricity flow downhill to the street, the inverter terminal voltage will be raised slightly higher than the transformer voltage. The overvoltage problem occurs when too many solar inverters inject a large amount of power to the grid simultaneously . To prevent these inverters from shutting down, a gradual power reduction is applied to them by a volt–watt function .…”

Section: Introductionmentioning

confidence: 99%

Double‐layer optimization of home energy management systems with volt–watt functions

Dao

Ishii

Hayashi

2018

IEEJ Transactions Elec Engng

View full text Add to dashboard Cite

The increasing number of rooftop solar panels and home-scale batteries in residential areas enables an emerging energy market for homeowners to take part in. By optimizing the energy usage at home, the surplus amount can be exported to the grid for selling to intermediaries like aggregators at a higher price than a feed-in tariff set by the government. Though not trading with the power utility, the resulting reverse power flow may cause the service voltage to increase and violate the set upper limit. To avoid this problem, the utility asks all grid-connected inverters to reduce the reverse power by installing volt-watt functions. Unfortunately, this kind of function may reduce the profits of the homeowners since the exported energy cannot match the amount committed to the aggregator. Our research addresses this issue by proposing a double-layer optimization for each home energy management system. The first layer optimizes the one-day home energy usage with consideration of uncertainty in the predicted data of load and solar irradiance to estimate the highest home profit as possible. Then, the second layer tries to reduce the high reverse power with minimal impact on the profit found in the first layer. A simulation of a distribution system shows that the proposed method is able to flatten the power profile flowing reversely to the grid and reduce the drawbacks of volt-watt functions. Homeowners are recommended to practice the proposed method when trading the surplus energy. Related works The literature includes various tech-niques for managing home and commercial building energy, and how to achieve benefit from the demand response program [2]. Since the system contains a wide range of home appliances at multiple power levels (washing machines, cloth dryers, and dishwashers), flexible and deferrable (electric vehicles and batteries), thermal-related (water heaters and air conditioners), there are a vast number of variables needed for modeling and taking part in the optimization. Some techniques are mixed-integer linear

show abstract

“…Recently, the ancillary services provided by heating, ventilation and air conditioning (HVAC) system and heat pumps have attracted considerable attention [1]. Specifically, utilisation of HVAC to participate in day‐ahead economic dispatch [2, 3], voltage regulation [4, 5], frequency regulation [6, 7], contingency control [8], demand response [9, 10] and to consume renewable power [11] shows an excellent control character of these thermal loads. Some contract mechanisms have been designed to encourage large buildings providing their HVAC equipment to take part in the ancillary service.…”

Section: Introductionmentioning

confidence: 99%

Capacity guaranteed control method for air conditioning cluster joining power grid frequency regulation

Zhang

2018

J. eng.

View full text Add to dashboard Cite

Coordinated Consumer Load Control by Use of Heat Pump Water Heaters for Voltage Rise Mitigation in Future Distribution System

Cited by 9 publications

References 12 publications

Mixed-Integer Distributed Ant Colony Optimization of Dump Load Allocation with Improved Islanded Microgrid Load Flow

Mixed-Integer Distributed Ant Colony Optimization of Dump Load Allocation with Improved Islanded Microgrid Load Flow

Double‐layer optimization of home energy management systems with volt–watt functions

Capacity guaranteed control method for air conditioning cluster joining power grid frequency regulation

Contact Info

Product

Resources

About