A Game Theoretic Approach to Demand Side Management in Smart Grid with Multiple Energy Sources and Storage
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 2
Abstract
A smart grid is an advancement in electrical grid which includes a variety of operational and energy measures. To utilize energy distribution in an efficient manner, demand side management has become the fore-runner. In our research paper, we use game theory as a tool to model our system as a Stackelberg game. We make use of different energy sources like solar energy, energy from battery and energy from the provider to run appliances of a subscriber. We consider the scenario where the subscriber can give excess energy that is generated, back to the grid, thereby reducing the load on the grid during peak hours. We design a pricing scheme to calculate the utilities of the subscriber and the provider and show how our model maximizes the utility of the entire system, thereby showing the existence of a Nash equilibrium.
Authors and Affiliations
Aritra Kumar Lahiri, Ashwin Vasani, Sumanth Kulkarni, Nishant Rawat
Scale and Resolution Invariant Spin Images for 3D Object Recognition
Until the last decades, researchers taught that teaching a computer how to recognize a bunny, for example, in a complex scene is almost impossible. Today, computer vision system do it with a high score of accuracy. To br...
Secure and Privacy Preserving Mail Servers using Modified Homomorphic Encryption (MHE) Scheme
Electronic mail (Email) or the paperless mail is becoming the most acceptable, faster and cheapest way of formal and informal information sharing between users. Around 500 billion mails are sent each day and the count is...
Modelling and Output Power Evaluation of Series-Parallel Photovoltaic Modules
Solar energy has received attention in the Middle East given the abundant and free irradiance and extended sunny weather. Although photovoltaic panels were introduced decades ago, they have recently become economical and...
Development of a Decision Support System for Handling Health Insurance Deduction
Effective hospital management involves such activities as monitoring the flow of medication, controlling treatment, and billing for the patient’s treatment. A major challenge between insurance companies and hospitals lie...
A Robust MAI Constrained Adaptive Algorithm for Decision Feedback Equalizer for MIMO Communication Systems
Decision feedback equalizer uses prior sensor’s decisions to mitigate damaging effects of intersymbol interference on the received symbols. Due to its inherent non linear nature, decision feedback equalizer outperforms t...