Hybrid model forecast control method of combined system comprising variable-speed seawater pumping and storage unit and chemical energy storage
A pumped-storage unit and hybrid model technology, applied in energy storage, climate sustainability, greenhouse gas reduction, etc., can solve problems such as limited power operation of energy storage batteries, excessive SOC deviation, etc.
Active Publication Date: 2019-07-19
WUHAN UNIV +1
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[0005]Affected by the forecast error of renewable energy output, the cumulative effect of the power deviation of the energy storage battery causes the actual SOC deviation to be too large, resulting in the limited power operation of the energy storage battery or offline A closed-loop Hybrid Model Predictive (Hybrid-MPC) control strategy is proposed to change the microgrid operation plan online according to the real-time SOC state feedback of the energy storage battery, so that under the disturbance of the prediction error to the microgrid, the SOC of the energy storage battery Always keep within the normal range, the energy storage battery is always running normally, and maintain the stability of the microgrid
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[0049] MG-ROS (Micro Grid-Real Operation Simulation) program was developed in MATLAB with M language to simulate the actual operation of the microgrid under the disturbance of net load random forecast error. The simulated microgrid contains an appropriate amount of load, a photovoltaic array, a fan, a variable-speed seawater pumped storage unit, and an energy storage battery. The parameters are shown in Table 1 and Table 2. Random errors are added to the load and renewable energy power forecast values to simulate the real-time load and real-time renewable energy power input of the actual microgrid. The drooping curve power set points of the unit and the energy storage are set according to the instructions of the operation plan. The MG-ROS program adopts the aforementioned Hybrid-MPC control strategy.
[0050] Table 1 Parameters of load, photovoltaic and fan
[0051]
[0052] Table 2 Operating parameters of variable speed seawater pumped storage unit and energy storage ...
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The invention proposes a hybrid model forecast control method of a combined system comprising variable-speed seawater pumping and storage unit and chemical energy storage. Accumulated influence of top-layer control (dispatching control) and bottom-layer control (droop control) on SOC of an energy storage battery in a composite energy storage combined system on different time scales is comprehensively considered. By real-time running, the actual running states of the variable-speed seawater pumping and storage unit and the energy storage battery which are disturbed with a renewable energy random forecast error in a power grid are simulated; by reducing time domain and by rolling optimization, the accumulated influence of a small random forecast error of renewable energy output on the SOC ofthe energy storage battery is solved, and meanwhile, the running economy of the variable-speed seawater pumping and storage unit is compatible; by heuristic control, and the accumulated influence ofa large random forecast error of renewable energy output on the SOC of the energy storage battery is handled; and by feedback correction, the running states of the variable-speed seawater pumping andstorage energy unit and the energy storage battery are timely changed.
Description
technical field [0001] The invention belongs to the field of micro-grid operation control, and in particular relates to an online closed-loop hybrid model predictive control (Hybrid-MPC) composite energy storage combined system (island micro-grid operating in isolated grid) containing variable-speed seawater pumped storage units and chemical energy storage )method. Background technique [0002] The isolated-grid operating island micro-grid including variable-speed seawater pumped storage units, lead-acid energy storage batteries and renewable energy adopts a three-layer control structure to ensure the economical, safe and reliable operation of the micro-grid system. The top layer (energy management) uses an optimization algorithm to solve the objective function based on the day-ahead forecast information of renewable energy output and load demand, unit operation constraints, energy storage battery operation constraints, and objective functions, and optimizes the day-ahead sc...
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IPC IPC(8): H02J3/28H02J3/46
CPCH02J3/28H02J3/46Y02E70/30
Inventor 邓长虹陈亚红李定林陈满
Owner WUHAN UNIV