Shared Energy Storage Scheduling for Carbon-Aware Microgrids
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The optimization and management of comprehensive energy microgrids are complex, especially when considering third-party investment and carbon emission factors.
Innovation Solution
A shared energy storage system optimization method and system are developed, which construct a cost model for a shared energy storage-multi-microgrid system, taking into account third-party investment, and resolve optimal values of variables to minimize operating costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If a shared energy storage system is established to optimize microgrid operations, then operating costs are reduced, but system complexity increases due to multiple constraints and coordination requirements
Solution Approach 1:
The patent introduces a shared energy storage system as an intermediary component between multiple microgrids and the main power grid. This mediator coordinates power exchange, balances loads, and manages energy flow among multiple parties, thereby reducing overall operating costs while centralizing the complexity management in a dedicated subsystem rather than distributing it across all microgrid operations
Solution Approach 2:
The patent optimizes operating costs by dynamically adjusting key parameters including power buying/selling prices, charge/discharge rates, and energy storage levels. The system responds to changing conditions by modifying these parameters in real-time, allowing cost reduction through parameter optimization while maintaining manageable system complexity through focused parameter control
2Reliability
If power prices are regulated with minimum, maximum, and average price constraints, then market stability is improved, but operational flexibility is reduced
Solution Approach 1:
The patent implements dynamic price constraints where minimum, maximum, and average power prices are adjusted based on real-time system conditions, market demands, and operational states. This dynamic approach maintains market stability through regulated pricing while preserving operational flexibility by allowing prices to adapt to changing conditions rather than being fixed
3Reliability
If energy balance constraints and charge/discharge power limits are imposed on shared energy storage, then system reliability is improved, but response speed to load changes is reduced
Solution Approach 1:
The patent implements preliminary charging and discharging actions based on predicted load changes and price signals. The shared energy storage system proactively accumulates or releases energy in advance of anticipated demand fluctuations, allowing it to respond quickly to actual load changes while maintaining reliability through pre-established energy balances and power limits
Data Source
AI summary
The application discloses a shared energy storage system optimization method and system for comprehensive energy microgrids, which take into account a shared energy storage-multi-microgrid system model invested by a third party. The comprehensive energy microgrids are regional energy systems integrating multiple energy sources and adjustable loads, including CHP, heat storage, power storage and distributed renewable energy. Shared energy storage is invested by a third part, serve as a power price publisher, and is limited by power price boundaries. The method takes into account a carbon emission and trading model to reduce carbon emission. Costs of the microgrids include a power/gas buying cost, a demand response cost, a carbon trading cost, and an operating cost of CHP units. Finally, a minimum cost solution is resolved by a MILP algorithm. The invention realizes microgrid scheduling and improves the economic efficiency and environmental friendliness of the comprehensive energy microgrids.