Abstract
A novel energy management system to improve the efficiency of renewable energy and storage system by scheduling various types of household appliances is developed. The end users schedule appliances optimally taking into account maximum utility (a measure of the satisfaction level of user’s electricity consumption) as well as minimum user’s cost of energy as competitive objectives. A random disturbance (reflecting an uncertainty) is introduced to describe the indeterminate amount of the electricity produced from the renewable energy sources at the adjacent slots. By applying the probability theory, the uncertain optimization model is transformed into a convex optimization problem. Then, the optimal solution is obtained using a quasi-Newton method. The rationality of our proposed model is verified through numerical simulations. According to the results of simulation studies, it is demonstrated that our proposed model not only enhances users’ utility but also reduces energy consumption cost.
Highlights
IntroductionE energy shortage and aggravation of environmental pollution are serious problems in a traditional power grid system
Demand side management (DSM) in smart grid is a kind of management activity which can effectively promote and mobilize the enthusiasm of users to change or transfer the power consumption according to the dynamic prices [5]
An optimal residential energy consumption model is proposed, which aims to achieve a trade-off between maximizing users’ utility and minimizing their payment based on scheduling household appliances. e optimal solution of the model is obtained using a smoothing quasi-Newton method
Summary
E energy shortage and aggravation of environmental pollution are serious problems in a traditional power grid system. E smart grid is an intellectualized power network system, which is based on highly integrated two-way communication networks and information systems. It is reliable, economical, and environmentally friendly and can be applied in sensing technologies and control infrastructures. Demand side management (DSM) in smart grid is a kind of management activity which can effectively promote and mobilize the enthusiasm of users to change or transfer the power consumption according to the dynamic prices (e.g., real-time pricing, time of use pricing, and inclining block rates) [5]. To alleviate the randomness and intermittent characteristics of the RES, an energy storage system (ESS) is being applied in smart grid, for example, popular electric vehicles that require both energy availability and storage power [10,11,12,13]
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