This paper presents a self-scheduling framework, using risk-constrained optimization model for the home energy management system (HEMS), considering fixed, controllable, and interruptible loads, as new contribution to earlier studies. The objectives are reducing electricity bill managing risk of purchasing over on-peak hours prosumer's discomfort index (DI) due shifting load undesired hours. In...

For logical artificial intelligence to be truly useful, its methods must scale to problems of realistic size. An interruptible algorithm enables a logical agent to act in a timely manner to the best of its knowledge, given its reasoning so far. This seems necessary to avoid analysis paralysis, trying to think of every potentiality, however unlikely, beforehand. These considerations prompt us to...

Many extensions of Petri nets have been proposed to model the behaviors and time relations of embedded system, yet these models are all based on some assumptions about the behaviors of embedded systems. Especially they all do not have the actual ability to model interrupt mechanism of embedded system. A new net which is called Extended High Level Timed Petri Nets (EHLTPN) is introduced in this ...

Microgrids are new technologies for integrating renewable energies into power systems. Optimal operation of energy sources in standalone micro-grids is an intensive task due to the continuous variation their output powers and intermittant nature. This work addresses optimum independent microgrid considering demand response program (DRP). An management model with two different scenarios has been...

The microgrids are composed of small scale fueled generation capacities, renewable energy sources, storage energy systems, controllable loads, and autonomously can connect or disconnect from the mains supply. The microgrids can operate connected to the upstream main grid, or in an islanded operation mode following a large perturbation in the upstream grid. The microgrid analyzed in this paper i...

Virtual power plants can aggregate distributed energy resources and interruptible loads in a region for coordinated regulation unified transaction. However, with the diversification of competition electricity market, operation mechanism between multiple virtual (multi-VPPs) has gradually become research focus. Based on this, this paper proposes new type transactions strategy multi-VPPs, i.e., t...

In a smart grid, efficient load management can help balance and reduce the burden on national power grid also minimize local operational electricity cost. Robust optimization is technique that increasingly used in home energy systems, where it applied scheduling of household loads through demand side control. this work, interruptible thermostatically controlled are analyzed to obtain optimal sc...

Smart home appliances can time-shift and curtail their power demand to assist side management or allow operation with limited power, as in an off-grid application. This paper proposes a scheduling process start time-varying deterministic load profiles. Self-triggered model predictive control is used limit the household net below given threshold. Meanwhile, profiles are more difficult schedule c...

Reinforcement learning agents interacting with a complex environment like the real world are unlikely to behave optimally all the time. If such an agent is operating in real-time under human supervision, now and then it may be necessary for a human operator to press the big red button to prevent the agent from continuing a harmful sequence of actions—harmful either for the agent or for the envi...