Deregulation of the power network, along with integration of renewable energy resources and energy storage systems, anticipates an increased decision making autonomy to the end-users. Curtailing the peak, also known as peak shaving, is one such aspect where the end-users could play a significant role in making the grid more resilient and robust. In this regard, we consider a grid-connected community microgrid comprising of a number of residential households, each equipped with a PV panel and a battery. We formulate the peak shaving of the community microgrid as a non-cooperative aggregative game, where the allowable peak acts as the global constraint which has to be satisfied by the community. Further, we propose a decentralized control algorithm to achieve the equilibrium strategy of the aggregative game, known as the generalized Nash equilibrium. To validate the usefulness of the proposed approach, we carry out different case studies using real dataset and highlight the key findings of the study.
Decentralized Control of Residential Energy Storage System for Community Peak Shaving: A Constrained Aggregative Game
Joshi A.;Mariani V.;Glielmo L.
2021-01-01
Abstract
Deregulation of the power network, along with integration of renewable energy resources and energy storage systems, anticipates an increased decision making autonomy to the end-users. Curtailing the peak, also known as peak shaving, is one such aspect where the end-users could play a significant role in making the grid more resilient and robust. In this regard, we consider a grid-connected community microgrid comprising of a number of residential households, each equipped with a PV panel and a battery. We formulate the peak shaving of the community microgrid as a non-cooperative aggregative game, where the allowable peak acts as the global constraint which has to be satisfied by the community. Further, we propose a decentralized control algorithm to achieve the equilibrium strategy of the aggregative game, known as the generalized Nash equilibrium. To validate the usefulness of the proposed approach, we carry out different case studies using real dataset and highlight the key findings of the study.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.