Renewable Energy Storage Control for Multi-Service Grid Stability
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Solution Overview
Problem
Energy accumulator systems in renewable plants are typically designed for single functionalities, leading to underutilization due to variable production costs based on wind or solar resources, resulting in financial inefficiency as they are often gauged for worst-case conditions and operate under a single control unit managing multiple functions.
Innovation Solution
A control process that utilizes a single energy storage unit to simultaneously provide capacity sale services, energy sale services, and stabilization services by dynamically assigning capacity based on weather forecasts, predicting energy production, and adjusting charging and discharging cycles to optimize efficiency and output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single energy storage unit is designed for multiple functionalities, then device complexity is reduced, but reliability deteriorates due to the difficulty of managing multiple functions simultaneously
Solution Approach 1:
The patent applies multi-functionality by enabling a single energy storage unit to perform multiple services including frequency regulation, voltage regulation, and energy time-shift operations. The control system dynamically allocates the storage unit's capacity among these different functions based on real-time grid conditions and forecasted production, eliminating the need for separate dedicated storage systems for each function while maintaining system reliability through sophisticated control algorithms
Solution Approach 2:
The patent implements dynamics by continuously adjusting the allocation of energy storage capacity among different services based on varying grid conditions, production forecasts, and market prices. The control system dynamically reconfigures the storage unit's operational mode and capacity distribution in real-time, allowing the system to adapt to changing requirements while managing multiple functions through a single unified resource
2Productivity
If energy storage capacity is allocated to multiple services simultaneously, then productivity increases, but loss of energy worsens due to inefficiencies in capacity allocation
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the allocation parameters of energy storage capacity among different services based on forecasted production values, grid conditions, and market prices. The control system optimizes charging and discharging cycles, power output levels, and capacity distribution parameters to maximize productivity while minimizing energy losses through efficient allocation strategies that adapt to varying operational conditions
3Adaptability or versatility
If weather forecast data is used to predict production values, then adaptability improves, but measurement precision deteriorates due to inherent forecast uncertainties
Solution Approach 1:
The patent applies preliminary action by using weather forecast data to predict future production values and proactively adjusting the energy storage unit's operational plan in advance. The control system forecasts production based on predicted weather conditions and pre-configures charging/discharging schedules and capacity allocations to optimize performance, allowing the system to adapt to variable production conditions while managing forecast uncertainties through advance planning
Data Source
AI summary
A process for simultaneously providing capacity sale services (e.g. frequency regulation or voltage regulation), energy sale services (energy transfer from off-peak hours to peak hours), and stabilization services of a renewable plant may be provided. The process includes determining the values of energy quantity to be produced by the plant during a near future time interval. The process may also include introducing the values of energy quantity, in the control unit. Generating an hourly program of energy supply to be provided by the energy accumulator unit to the network may also be performed, depending on the values of energy to be produced, which stabilizes the power supplied by the plant to the network. Furthermore, the frequency and the voltage of the network may be regulated as well as transfers the energy between off-peak hours and peak hours, or from hours with saturation of the network to hours without saturation.