Intelligent Capacity Configuration and Operation Scheduling of Energy Storage
Intelligent Energy Storage Revenue Evaluation System
With the development of new energy, the number of installations of distributed photovoltaic and wind power systems both domestically and internationally has sharply increased. Energy storage is an important means to solve the intermittent and fluctuating nature of new energy sources such as photovoltaic and wind power, promote consumption, reduce wind and solar waste, and thus drive the development of energy storage systems. When investing in energy storage, using different energy storage capacities, rated power, and different charging and discharging strategies can result in significant differences in returns. However, there are countless combinations of energy storage configurations and charging and discharging strategies that cannot be calculated using exhaustive methods. Using some simple strategies manually for estimation can lead to inaccurate revenue estimation and low efficiency.
In order to make investment decisions quickly, we have developed an 'intelligent energy storage revenue evaluation system' for domestic optical storage scenarios and foreign electricity price bidding energy storage scenarios. By inputting historical load, power generation, electricity price and other data, as well as different energy storage capacity and power parameters, we can quickly calculate the revenue, investment payback period, and daily charging and discharging strategies for each energy storage configuration.
In domestic photovoltaic storage scenarios, configuring energy storage can generate three benefits: one is the benefits of peak shaving and valley filling, the other is the benefits of reducing demand, and the other is the benefits of staggered charging and discharging for photovoltaic power generation. By inputting historical photovoltaic power generation curves and electricity load curves into the system, the actual operating conditions of energy storage can be simulated, and the theoretically optimal energy storage configuration and charging and discharging strategy can be calculated in a short period of time. The total investment return and investment payback period can be used to quickly decide which energy storage configuration to use to achieve the optimal investment return ratio for energy storage investment.
In overseas energy storage application scenarios, the real-time fluctuation of electricity prices in the power market is significant, with electricity prices changing every 5 minutes, with price differences reaching hundreds, even thousands, or even tens of thousands. When there is sufficient power generation on the power supply side, the power generation is far greater than the load, and the electricity price may also be negative, consuming electricity can also bring benefits. On the contrary, if the power supply side is insufficient and the demand for electricity consumption is strong, the electricity price will appear at a high price. By inputting historical electricity price data and various energy storage configurations, such as capacity and rated power, to the system, the optimal charging and discharging power, optimal total revenue, charging and discharging costs, cycle times, etc. of each energy storage configuration can be quickly solved, as well as which energy storage configuration has the optimal economic efficiency.
After the energy storage equipment is put into operation, the system can quickly calculate the charging and discharging power at each time based on future generation power, electricity load, and electricity price prediction data, ensuring the safety of energy storage batteries and achieving the optimal economic operation mode. At present, the intelligent system has configured intelligent energy storage capacity for multiple projects both domestically and internationally, and has been widely praised by customers.
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