Abstract
Demand response (DR) is used mainly to help to schedule a customer’s power utilization based on the electricity price that is announced by the power distribution company so that both demand and supply can optimally benefit. The work proposes a users’ load model and the interior point method for optimal scheduling with elastic power utilization to minimize power price. The interior point method has the advantages of rapid convergence and robustness. Customers can not only use PV generators and battery sets as backup power sources, but also benefit from green energy. As revealed by the results herein, the use of elastic power utilization time intervals enables customers to pay less power price.
Highlights
With population growth and the continuously increasing demand for energy, international energy prices are rising substantially
The main approaches to Demand response (DR) involve a power distribution company’s negotiation of pricing with every customer and the customers’ optimizing their power utilization scheduling according to the pricing that is announced by the power distribution company
This study provides a curve of electricity price as a function of total power usage by customers
Summary
With population growth and the continuously increasing demand for energy, international energy prices are rising substantially. Limited resources create a supply-demand imbalance in power systems. Power rationing in the summer is becoming increasingly possible, causing great inconvenience. Since most traditional industries have already given way to hi-tech industry, the stable supply of power to factories and production lines is important to businesses, and the enormous losses that are caused by power outages must be avoided. Power companies must build more power plants and increase supply capacity, leading to increasing environmental pollution. Power companies are greatly concerned with stable and reliable power supply. The DR framework that is proposed in this study can be utilized to solve such problems
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