V2G Battery Allocation for Grid Demand Response Control
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Solution Overview
Problem
Existing systems face challenges in effectively utilizing batteries for energy conservation and managing power supply-demand fluctuations in electrical grids.
Innovation Solution
A system that controls charging and discharging of multiple movable batteries to adjust power supply to an electrical power network by reducing or increasing power charging/supplying amounts based on demand requests, using an estimating and allocating unit to optimize battery usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If batteries are used for power supply adjustment in electrical grids, then energy conservation is achieved, but effective utilization and management complexity become problematic
Solution Approach 1:
The patent introduces a power supply adjustment management system as an intermediary between multiple movable batteries and the electrical grid. This system coordinates charging and discharging operations, allocates power resources, and manages battery schedules, thereby enabling effective energy conservation while reducing the complexity of direct battery management. The mediator handles the complex decision-making processes for power allocation and battery coordination.
Solution Approach 2:
The management system performs multiple functions including power resource allocation, charging/discharging control, schedule management, and coordination of multiple batteries. By consolidating these diverse management tasks into a single universal system, the patent reduces overall management complexity while achieving comprehensive energy conservation across the battery fleet.
2Stability of the object's composition
If power charging and discharging amounts are adjusted to match supply and demand, then electrical grid stability is improved, but control system complexity increases
Solution Approach 1:
The management system performs preliminary actions by pre-planning and allocating power resources for multiple batteries in advance. It determines charging and discharging schedules before peak demand periods occur, preparing batteries to provide power when needed. This advance planning simplifies real-time control while maintaining grid stability, as the complex decision-making is done beforehand rather than during critical power supply moments.
Solution Approach 2:
The system implements feedback mechanisms by monitoring actual power supply and demand conditions, comparing them against planned allocations, and adjusting battery operations accordingly. This feedback loop enables the control system to respond to changing grid conditions while maintaining overall stability, reducing the need for overly complex predictive controls by allowing adaptive adjustments based on actual performance data.
Data Source
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AI summary
SOLUTION: A system including: a controlling unit for providing an electrical power network with an electrical power resource by performing, at least one of a first control for reducing power charging amounts for the multiple movable batteries, or a second control for increasing power supplying amounts from the multiple movable batteries, in response to a first request for requesting power consumption to be reduced, and at least one of a third control for increasing power charging amounts for the multiple movable batteries, or a fourth control for reducing power supplying amounts from the multiple movable batteries to outsides, in response to a second request for requesting power consumption to be increased; and an allocating unit for allocating, based on an amount of electrical power resources available to be provided to the electrical power network by each of the multiple movable batteries, and an amount of electrical power resources required to be provided to the electrical power network, by which of the first control, the second control, the third control, or the fourth control, the each of the multiple movable batteries provides the electrical power network with an electrical power resource in each of multiple timeframes in a future.