Multi-Agent System based Two-Phase Market Model to Incorporate Demand Response in Grid-Tied Microgrids
Unknown authors
Abstract
In this paper, a multi-agent-based intelligent energy management framework (MEMF) is proposed to manage power balance in grid-tied microgrids. The MEMF maintains two virtual markets viz. Local market in which potential sellers and buyers will participate in trading within the microgrid using Continuous Double Action (CDA) market auction and Global market in which power mismatch (surplus/deficit) of a microgrid in the local market is mitigated by the grid. In addition, a novel linear bidding algorithm is introduced for stakeholders to decide their quote prices for day-ahead trading intervals for ethical trading. The trading mechanism is modified dynamically to enhance benefits to both sellers and buyers. It also enables customers with low priority loads to participate voluntarily in demand response(DR). The generally used incentive policy is also modified to yield more benefits to the customers. In the proposed MEMF, both Multi-Agent System (MAS) and grid-tied microgrid are simulated using MATLAB/SIMULINK. The simulation results on a test system are presented for illustrating the effectiveness of DR on the proposed trading and managing algorithm.