Patent ID: 11887140
Assignee: MITSUBISHI ELECTRIC RESEARCH LABORATORIES, INC.
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for distributing energy along a given scheduling horizon for an energy system, the method comprising:
determining an optimal value of a risk tolerance level for an uncertainty horizon of long-term forecasting non-stochastic uncertainties for the energy system, the risk tolerance level having objectives prioritized relative to one another and constrained by short-term forecasting stochastic uncertainties, wherein the energy system comprises an energy generation source, an energy storage system, and a demand load,
wherein the long-term forecasting non-stochastic uncertainties and the short-term forecasting stochastic uncertainties are related to forecasted values including one or more of energy market values,-electricity rates, and power producing, storing and consumption,
wherein the objectives are optimized to generate solutions that maximize an expected total pool market revenue and an expected total future market revenue while minimizing an expected total energy cost for the energy system, and
wherein the objectives are optimized subject to feasibility constraints generated from a lower bound and an upper bound of an information gap region defined for long-term uncertainties, and technical constraints wherein the technical constraints are generated from a lower boundary for a profit distribution using second-order stochastic dominance constraints, and wherein the additional constraints include a constraint that requires a level of balancing of power provided to and from a grid of the energy generation source;
identifying long-term and short-term energy distribution schedules for charging or discharging the energy storage system, controlling local load demands and contributing to power balancing, based on the solutions of the optimization; and
controlling the distribution of energy to manage the charging or discharging of the energy storage system, the controlling of local load demands and the contributing of power balancing according to the identified long-term and short-term energy distribution schedules.