User-Side Demand Modelling And Optimization Energy Consumption Scheduling For Future Smart Grid

With the increasingly widespread use of kinds of new distributed energy generations and new electrical appliances, smart grid and micro-grid concepts emerged. As one of the key research areas, optimization energy scheduling problem can make users obtain economic benefits, while enhancing the power quality. However, most of the research only optimized the whole micro-grid’s efficiency as their research objective, and took less attention to the individual user’s interest, resulting in the entire micro-grid’s instability. In addition, parts of the distributed renewable energy generated with uncertainty, and this feature will cause the system’s fluctuation. In response to these two problems, the main work of this paper is as follows:ⅰ) In response to the instability problem casued by the single pursuit of the whole system efficiency while ignoring the need of individual user’s interest. With the perspective of optimal collaborative network users behavior, we proposed an optimization problem to minimize the whole multi-users system’s cost, while ensured each end-user’s individual interest relatively fair. Then, for the above optimization problem, we proposed an energy scheduling algorithm and benefits allocation algorithm, then simulated by Matlab software.ⅱ) In addition, in response to the fluctuation problem caused by the renewable energy. Firstly, we considered a energy user model with renewable energy, then got its demand modelling and proposed an optimization problem which both reduced the system’s total cost and its fluctuation. Secondly, for this optimization problem, we proposed a layered particle swarm optimization algorithm and simulated by Matlab software.In summary, this paper modelled these above two problems, and the numerical results by Matlab showed the good performance of those methods proposed in this paper.