Battery Energy Storage Systems Bidding Optimization Software
Silicon Valley Clean Energy and Central Coast Community Energy seek bidding optimization software for their combined battery storage fleet across CAISO markets—the platform must forecast day-ahead and real-time prices, automate bids for Energy and ancillary services (Spin/Non-Spin, Regulation Up/Down, RUC), respect state-of-charge and cycle limits, and transmit directly to their Scheduling Coordinator. The solution requires CAISO SIBR integration, adjustable risk levels for bid creation, must-offer obligation compliance, and adherence to the Joint CCAs' cybersecurity policies.
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AI overview
The Joint CCAs (SVCE and CCCE) seek to procure a Battery Energy Storage System (BESS) platform that will enable them to optimally manage their fleet of storage assets in the CAISO marketplace. The platform should allow resources to be optimized considering expected market conditions and resource limitations. The solution should be able to transmit bids and resource parameters to SVCE's Scheduling Coordinator. The optimization should be able to toggle between risk levels in the creation of bids. The software should adhere to the Joint CCAs' cyber security policies. The system should provide price forecasts for day-ahead and real-time markets, support all required products for both markets (Energy, Spin/Non-Spin, Regulation Up and Down, Residual Unit Commitment), define objective functions for developing bids, track contractual limits (Minimum/Maximum State of Charge, Throughput Limits, Cycle Limits, Depth of charge Limits), structure bids to meet Must Offer Obligations, interface with CAISO SIBR for energy storage resources, provide standard and custom reports, and offer a graphical user interface showing resource use expectations over various time horizons.
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Proposal Document
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