Real-time household load priority scheduling algorithm based on prediction of renewable source availability

Liu, Xin; Ivanescu, L.; Kang, Rui; Maier, Martin

doi:10.1109/tce.2012.6227429

Cited by 52 publications

(3 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Equation ( 18) can be used to determine the amount of energy used by each appliance or group of appliances. The sum of the total energy demand for T time can be used to compute the total energy consumed, as shown in Equation (19).…”

Section: Load Prioritisationmentioning

confidence: 99%

“…Similarly, Ref. [19] classified home appliances into three different categories appliances with real-time energy consumption modes, an appliance with periodic nonreal-time energy consumption modes, and an appliance with non-periodic nonreal-time consumption modes and presented two different algorithms dynamic priority allocation and scheduling algorithms. This paper discusses the implementation of scheduling appliances to improve the period to increase the utilisation of renewable energy.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Enhanced demand side management for solar‐based isolated microgrid system: Load prioritisation and energy optimisation

Rajbhandari,

Marahatta,

Shrestha

et al. 2023

IET Smart Grid

View full text Add to dashboard Cite

A novel control mechanism is presented for rural microgrids, standing out in the current literature with its advanced approach to load prioritisation and energy allocation. The system's main goal is to maximise energy supply to essential loads while effectively managing available resources. Distinct from traditional methods, this mechanism dynamically classifies loads according to user‐defined priorities, adjustable based on the control system's computational power and complexity. A critical feature is the utilisation of the Particle Swarm Optimisation (PSO) algorithm to optimise demand side management (DSM). This innovative approach leverages day‐ahead load and generation forecasts to ensure optimal energy distribution across load levels, maintaining continuous power supply to high‐priority loads and reducing blackout risks due to generation and load fluctuations. Analyses under stochastic scenarios demonstrate the robustness of the control action, with percentile‐based day‐ahead forecasting allowing for adaptation to significant variations in renewable energy generation patterns. The implementation results are significant, maintaining 100% supply continuity to essential loads throughout the day, even with generation fluctuations up to ‐20%. This marks a considerable improvement in load satisfaction, increasing it from 83% to 96%. A significant advancement in microgrid control is contributed, providing an adaptive, user‐centric approach that enhances load management and energy distribution, and facilitates more resilient and efficient microgrid systems in the face of highly variable renewable energy sources (RESs).

show abstract

Section: Load Prioritisationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhanced demand side management for solar‐based isolated microgrid system: Load prioritisation and energy optimisation

Rajbhandari,

Marahatta,

Shrestha

et al. 2023

IET Smart Grid

View full text Add to dashboard Cite

show abstract

“…The proposed algorithm handles the home appliances according to their priority and makes sure the total power consumptions are below predefined level. Xin et al [14] presented a real time household load priority scheduling algorithm based on prediction of renewable source availability. The proposed system is to increase the advantages of renewable energy and reduce the total cost of energy consumption with home users comfort constraints.…”

Section: Related Workmentioning

confidence: 99%

Priority based Energy Distribution for Off-grid Rural Electrification

Sindiramutty¹,

Eng²,

Ping³

2020

IJACSA

View full text Add to dashboard Cite

Rural off-grid electrification is always very challenging due to mostly using limited output renewable energy source such as solar power system. Owing to its nature of power generation that depends on weather condition, the reliability in power provision is often affected by uncontrolled overwhelming usage or bad weather condition. Total power system blackout that frequently happens not only disturb the night activity routine but also can be life threatening if the rural community is unable to initiate telephony communication with the outside world during state of emergency due to power outage. In order to reduce the frequency of total system blackout caused by the reasons mentioned, we proposed a priority-based energy distribution scheme to assist the off-grid standalone solar power system to improve the overall operating hours of the critical appliances in rural areas. The scheme takes into consideration of criticality of the home appliances as defined by the rural users, so that the system would distribute power supply based on the current state of the system with an objective to prolong the service availability of the critical appliances that matter the most to the users. The scheme has been evaluated under simulated scenario and has shown a 100% operation availability of the critical appliance is achievable even during bad weather season that has very low solar input.

show abstract

Design of optimized energy system based on active energy‐saving technologies in very low‐energy smart buildings

Qamar

Iqbal

Saher

et al. 2019

Trans Emerging Tel Tech

View full text Add to dashboard Cite

The International Energy Agency proclaims that the energy utilization by commercial buildings makes up 28% of the world's total energy consumption. This research is aimed at finding various optimum ways to minimize energy consumption for existing commercial buildings. A three‐layer framework is proposed to achieve active energy saving and to transform an existing building into very low‐energy building. The building considered is the postgraduate studies research lab that can have 15 workstations. The building site (envelop) is made scalable by dividing the site area into zones and each zone is monitored via a sensor node, which monitors occupant behavior and acts as a controlling agent between the source and the load. The use of photovoltaic as renewable generation is a sustainable and environment‐friendly way and thus, is added to the existing building to conserve energy. A 6 kW grid‐tied monocrystalline photovoltaic‐based renewable energy system has been added to the building to meet energy requirements and envisage its aftereffect on the energy conservation. The energy‐efficient appliances have been used as loads to minimize the energy consumption. The installed system has a payback period of 6 years, while the proposed framework can achieve maximum energy efficiency of 90%.

show abstract

Real-time household load priority scheduling algorithm based on prediction of renewable source availability

Cited by 52 publications

References 15 publications

Enhanced demand side management for solar‐based isolated microgrid system: Load prioritisation and energy optimisation

Enhanced demand side management for solar‐based isolated microgrid system: Load prioritisation and energy optimisation

Priority based Energy Distribution for Off-grid Rural Electrification

Design of optimized energy system based on active energy‐saving technologies in very low‐energy smart buildings

Contact Info

Product

Resources

About