Hybrid Power Plant Dispatch Scheduling for Battery Lifetime
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Solution Overview
Problem
Renewable energy power plants face challenges due to the unpredictability of renewable energy sources, which affects the lifetime of energy storage systems used for power management, as existing methods involve frequent and short charging and discharging cycles that are detrimental to battery life.
Innovation Solution
A method for power management in hybrid power plants with renewable energy generation equipment and energy storage systems, involving separate control of renewable power generation and energy storage systems, using forecast parameters to determine optimized power schedules and state of charge targets, minimizing cycling and curtailment, and adapting to changing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If constant control of the battery with frequent charging and discharging cycles is used to deliver the committed power injection schedule, then the power delivery reliability is improved, but the lifetime of the energy storage system deteriorates
Solution Approach 1:
The patent applies dynamics by transitioning from constant, rigid control to adaptive, flexible control. The power management system dynamically adjusts the power injection schedule based on actual renewable generation and storage state, allowing the battery to operate in optimized cycles rather than constant short cycles, thereby extending lifetime while maintaining reliability
Solution Approach 2:
The patent changes operational parameters by recalculating the power injection schedule based on actual conditions. Instead of adhering to a fixed committed schedule, the system modifies power injection parameters in real-time based on renewable generation availability and storage system state, reducing unnecessary cycling while ensuring power delivery commitments are met
2Reliability
If separate control of generation and storage resources is used to meet committed power schedules, then the power delivery commitment is fulfilled, but the overall plant profitability deteriorates due to unnecessary cycling and curtailment
Solution Approach 1:
The patent merges the control of generation and storage resources into a unified power management system. Instead of separate controls that operate independently, the system coordinates both resources together, optimizing their combined operation to meet power delivery commitments while minimizing unnecessary cycling and curtailment, thereby improving overall profitability
3Reliability
If the energy storage system is used to compensate for renewable energy unpredictability, then the power supply predictability is improved, but the energy storage system lifetime deteriorates due to increased cycling
Solution Approach 1:
The patent applies preliminary action by using forecast parameters to predict renewable generation and pre-calculating optimized power injection schedules. This allows the system to prepare appropriate power delivery plans in advance based on expected conditions, improving predictability while avoiding last-minute emergency cycling that would harm storage system lifetime
Data Source
AI summary
Method of power management of a hybrid co-located power plant (100), based on optimization algorithms oriented towards determining firm and predictable power scheduled, considering the minimization of the storage usage and the minimization of the energy curtailment, the method comprising: generating a power generation schedule (205); determining an energy storage power schedule (206); determining a power injection schedule (207); determining a state of charge target schedule (208) of the energy storage system (120) during the predefined time range on the basis of the forecasts parameters (204); wherein in the predefined time range the method comprises: supplying and/or absorbing the power from the energy storage system (120) to/from the second point of connection (121) according to the energy storage power schedule (206); controlling the power supply of the power plant (100) from the renewable energy generation equipment (110) to the first point of connection (101) and/or to the energy storage system (120) on the basis of the power injection schedule (207) and the state of charge target (208).