Microcontroller Based Maximum Load Managment Controlling and Monitoring using Valley Filling Technique
Load Management System Implementation using one of the famous technique known as valley filling Solar energy Source is used to fulfill the demanded Power Solar produces energy and its Max power is calculated Connected load power is also calculated The loads which ar
2025-06-28 16:28:34 - Adil Khan
Microcontroller Based Maximum Load Managment Controlling and Monitoring using Valley Filling Technique
Project Area of Specialization Electrical/Electronic EngineeringProject SummaryLoad Management System Implementation using one of the famous technique known as valley filling
Solar energy Source is used to fulfill the demanded Power
Solar produces energy and its Max power is calculated
Connected load power is also calculated
The loads which are below the max power of solar are shifted on solar
The loads having power more than the max power of solar is connected to the utility
Efficient management of Domestic Load that will reduce the burden to national grid.
Design an intelligent system to utilize efficiently the availability of renewable energy resources (in our case Solar Energy).
Design, investigate and improve the system efficiency and reliability by minimizing the billing cost of a loads utilized using Valley Filling Technique
Load Management System Implementation using one of the famous technique known as valley filling
Benefits of the ProjectLoad management allows utilities to reduce demand for electricity during peak usage times (peak shaving), which can, in turn, reduce costs by eliminating the need for peaking power plants.
Technical Details of Final DeliverableA prioritized rule based load management technique that provide for optimum energy gleaning and management in a standalone PV-battery SAPVB system has been studied. A mid-class off-grid residential building was considered for the study. To appreciate the applicability of the proposed load management scheme, four scenarios were developed, tested and discussed. Results obtained show that when the load management technique is not utilized as in the case of scenario 1 (Base case), the percentage satisfaction of the critical and uncritical loads by the PV system are 49.8% and 23.7%. However with the implementation of the load management scheme in scenarios 2, 3 and 4, the load satisfaction for the critical and uncritical loads respectively are (93.8%, 74.2%), (90.9%, 70.1%) and (87.2%, 65.4%) for scenarios 2,3and 4, respectively. This revealed that loads can be effectively managed to maximize available power supply from a SAPVB system using the proposed load management technique. Any of the three presented scenarios (2–4) can be adopted and integrated into the design processes of standalone PV systems
Final Deliverable of the Project Hardware SystemCore Industry Energy Other IndustriesCore Technology Clean TechOther TechnologiesSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 57500 | |||
| Auridino uno | Equipment | 1 | 4000 | 4000 |
| Solar Panel | Equipment | 1 | 12000 | 12000 |
| Battery | Equipment | 1 | 10000 | 10000 |
| Bulb | Equipment | 3 | 1000 | 3000 |
| Solar panel Charger | Equipment | 1 | 5000 | 5000 |
| wires | Equipment | 1 | 3000 | 3000 |
| Printing | Miscellaneous | 1 | 3000 | 3000 |
| Thesis Printing and binding | Miscellaneous | 1 | 5000 | 5000 |
| Switches | Equipment | 5 | 500 | 2500 |
| Transformers | Equipment | 5 | 2000 | 10000 |