Energy storage modeling and control

摘要

Systems and methods for optimal planning and real-time control of energy storage systems for multiple simultaneous applications are provided. Energy storage applications can be analyzed for relevant metrics such as profitability and impact on the functionality of the electric grid, subject to system-wide and energy storage hardware constraints. The optimal amount of storage capacity and the optimal operating strategy can then be derived for each application and be prioritized according to a dispatch stack, which can be statically or dynamically updated according to data forecasts. Embodiments can consist of both planning tools and real-time control algorithms.

主权项

1. A computerized method for controlling balancing services based on a combination of an energy storage system and reserves using a computer, the method comprising:
receiving at the computer a first physical model relating to a rate of degradation of the energy storage system; retrieving from a first database, using the computer, first historical data relating to historical renewable energy generation; retrieving from a second database, using the computer, second historical data relating to historical forecast error; receiving at the computer one or more possible configurations for the energy storage system; receiving at the computer a cost model for the energy storage system; receiving at the computer information relating to a cost of providing the reserves; receiving at the computer one or more possible operating strategies of the energy storage system for minimizing a cost of the balancing services,
wherein the one or more possible operating strategies are computed via
calculating, using the computer, a renewable energy power supply commitment based on forecasted renewable energy generation and user defined renewable energy power shaping requirements; andcalculating, using the computer, a difference between the calculated renewable energy power supply commitments and real-time renewable energy generation,wherein the renewable energy power supply commitment comprises a plurality of power block commitments, each of the power block commitments being characterized by a duration, a slope, and a jump from an adjacent power block commitment, andthe user defined renewable energy power shaping requirements comprise a maximum allowed slope and a maximum allowed jump from an adjacent power block commitment for the power block commitments; receiving at the computer a second physical model relating to forecast uncertainty; calculating, using the computer, an optimal combination of the energy storage system and the reserves that minimizes a cost of balancing the difference based on the first historical data, the second historical data, the first and second physical models, the information relating to a cost of providing the reserves, the one or more possible energy storage system configurations, the one or more possible energy storage system operating strategies, and the cost model; andcharging or discharging, using a controller, an energy storage asset of the energy storage system in accordance with the calculated optimal combination of the energy storage system and the reserves.