Energy Storage Battery Selection for Minimum Operating Cost
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Solution Overview
Problem
Conventional energy storage system control methods focus on improving power efficiency and battery performance but fail to effectively minimize long-term operation costs, including grid power and battery replacement costs.
Innovation Solution
An operation control apparatus and method that includes a processor and memory to collect battery information, derive optimal battery combinations, calculate operation costs, and generate recommendations for minimizing overall costs by optimizing grid power and battery purchases, considering constraints such as power balance, battery state of charge, and EV charger usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional control methods focus on improving power efficiency and battery performance, then battery performance is improved, but operation cost is not minimized
Solution Approach 1:
The system changes operational parameters dynamically by adjusting charge/discharge schedules based on electricity price signals, battery state of charge, and forecasted power generation to minimize operation costs while maintaining battery performance requirements
Solution Approach 2:
The control method transitions from static performance optimization to dynamic cost optimization by continuously adjusting operational parameters based on real-time and forecasted conditions including electricity prices, power generation forecasts, and load demands
2Ease of manufacture
If multiple battery combinations are evaluated to minimize operation cost, then operation cost is minimized, but calculation complexity increases
Solution Approach 1:
The evaluation process is segmented into discrete steps: generating battery combinations based on capacity requirements, calculating operation costs for each combination using standardized formulas, and selecting the optimal combination, which simplifies the overall complex optimization problem
Solution Approach 2:
The system uses forecasted data (copies of future conditions) for power generation, electricity prices, and load demands to evaluate battery combinations, allowing cost calculation without requiring actual future operational data, thus reducing computational complexity
Data Source
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AI summary
An operation support apparatus, according to an embodiment of the present invention, is an operation support apparatus for an energy storage system and may comprise at least one processor, and a memory storing at least one instruction that is executed by the at least one processor. The at least one instruction may include the instructions of: collecting information about batteries that can be applied to the energy storage system; deriving, on the basis of the structure of the energy storage system, a plurality of combinations, each including one or more batteries that can be applied to the energy storage system; calculating an operating cost of the energy storage system for each of the combinations; and generating recommended combination information including information about a combination that, among the combinations, represents the minimum operating cost.