GAME THEORY: DEMAND SIDE MANAGEMENT WITH DG’S AND STORAGE UNITS

Abstract

DSM (Demand side management) is an approach have the objective to make our consumers energy efficient for long term. DSM can be designed to control the electricity consumption of individual users. DSM categorized the load in two groups’ base line load which are constant and uninterruptible loads and interruptible loads which can shift from peak duration to normal duration and their consumption duration is also manageable. Demand side Management for the consumer in the presence of storage units and DG’s is executed by NonCooperative Game Theory. Non-cooperative game theory deals with individual consumers without any cooperation with other consumers and provide the benefit to the active consumers who manage their load from peak hour to normal hour to reduce the PAPCR (peak to average power consumption ratio). DG’s generation is variable depending upon load forecasting and storage units also have some minimum and maximum capacity of storage will manage by machine learning with load forecasting used as learning source and storage units characteristics will manage by non-cooperative game theory. If assume that the energy provider adjudicate the electricity cost with reference to normal peak hour, consumer stop consuming electricity during peak hour and started to sell the electricity to energy provider to enhance their profit and store electricity during low cost hours and introduce a new peak at a different time frame. The system required another game for energy provider to manage the electricity cost on real time bases to stop the generation of new peak and try to minimize the PAPCR and minimize the benefit of the energy provider. Every energy provider and consumer want to earn maximum benefit. A new stackelberg game is introduce to provide maximum benefit to the provider. When a consumer shift their load to newly introduced peak duration, the energy provider will respond and accommodate the electricity price again. In stackelberg game energy provider part as leader and consumer will participate as followers. Objective of the research is to provide maximum benefit to the energy provider and active consumers; 1. INTRODUCTION design a mathematical model through the algorithm of non-cooperative game and stackelberg game for both consumer and energy provider respectively to find out the nash equilibrium between consumer and energy provider. The outcome of the problem will introduce by two defined games non-cooperative game will reduce the cost of electricity for the consumers have storage units and DG’s and manage the load and Stackelberg game will minimize the power to average consumption ratio.