Optimal scheduling of customers' demand by using availability of power and its price in smart grid | |
| Author | Reddy, Mukkamala Srikanth |
| Call Number | AIT Thesis no.ET-17-10 |
| Subject(s) | Smart power grids Electric power--Marketing |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Energy |
| Publisher | Asian Institute of Technology |
| Abstract | Demand response (DR) is one of the major parts of the smart grid. This thesis study concentrates on customer load scheduling of delayable and non-delayable appliances. Considering a group of 20 customers with a Distribution Channel (DC) acts as an Aggregator which are willing to participate in DR and in Energy Market (EM). The communication between customer to the aggregator and to the service provider is through Home Area Network (HAN). Firstly, customer load scheduling of appliances is done with Delayable Appliances (DA) and Non-Delayable Appliances (NDA) using forecasted Day-Ahead Price (DAP) for every individual customer, NDA can reduce their power and DA can delay their operation time as per their delay time is given by the customer for one day. The cumulative load information goes to DC and it re-adjusts again only DA with respect to the bidding power available in Day-ahead market and then in hour-ahead Market. Adjustment in DC is divided into two cases 1. with respect to power and 2. with respect to price. Some customers are having PV solar as a generation with battery storage. Similarly, adjustment of real-time imbalances is done. The scheduling of appliances is assumed as an optimization problem and solved through Genetic Algorithm Optimization (GAO). The minimization of the optimization problem decides which appliances to proceed and which appliances to delay. The selection of battery storage charge and discharge are done by GAO. The results from Day-ahead and Hour-ahead scheduling can help in finding closely load for real-time consumption. This method has social benefits, which benefits to the customer as well as utility. |
| Year | 2017 |
| Type | Thesis |
| School | School of Environment, Resources, and Development (SERD) |
| Department | Department of Energy and Climate Change (Former title: Department of Energy, Environment, and Climate Change (DEECC)) |
| Academic Program/FoS | Energy Technology (ET) |
| Chairperson(s) | Singh, Jai Govind |
| Examination Committee(s) | Dhakal, Shobakar;Weerakorn Ongsakul; |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2017 |