Optimization method for battery energy storage system before peak clipping and valley filling day based on quadratic programming model
A battery energy storage system, secondary planning technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as the inability to guarantee the global optimal solution and the difficulty of selecting appropriate parameters.
Active Publication Date: 2014-04-16
SOUTHERN POWER GRID PEAK LOAD & FREQUENCY REGULATION GENERATING CO LTD +2
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Problems solved by technology
In the intelligent algorithm, it is very difficult to select the appropriate parameters, and the intelligent algorithm cannot guarantee that the global optimal solution can be obtained every time
In the dynamic programming algorithm, the remaining power of the battery is discretized, and the output of the battery can only be selected from a series of discrete values
Method used
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Embodiment
[0073] Example: Day-ahead optimization results of forecasted load of a main substation in Shenzhen
[0074] Using two predicted load curves of a main substation in Shenzhen as input data, the two predicted load curves are as follows: figure 2 with Figure 4 The middle dotted line is solved by the quadratic programming model and the effective set algorithm.
[0075] The capacity of the energy storage system installed in the substation is 5MW·4h, and the charge and discharge power is limited to 5MW. Assume that both the initial capacity and the final value capacity are zero.
[0076] Step 1: Solve the initial feasible solution b(i), i=1, 2,...,N.
[0077] Take the initial solution as:
[0078] b(i)=0, i=1, 2,..., N
[0079] Step 2: Perform an iterative process to find the optimal control strategy
[0080] The optimized battery charging and discharging strategy such as image 3 with Figure 5 Shown. The load curve after peak shaving and valley filling is as follows figure 2 with Figure...
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The invention discloses an optimization method for a battery energy storage system before the peak clipping and valley filling day based on a quadratic programming model. In the model, the target function is convex function, the quadratic programming to be resolved is convex quadratic programming, theoretically, the global optimal solution can be obtained as long as the KKT point is calculated out, the calculating method is mature, and the initial feasible solution is conveniently and easily accessible. The residual electric quantity of the battery does not need to be discretized in the calculating process. The optimization method for the battery energy storage system before the peak clipping and valley filling day based on the quadratic programming model has the advantages of ingenious design and excellent performance, and is convenient and practical.
Description
Technical field [0001] The invention is an optimization method for peak shaving and valley filling of a battery energy storage system based on a secondary planning model, and belongs to the transformation technology of the peak shaving and valley filling before optimization method of a battery energy storage system based on the secondary planning model. Background technique [0002] Large-scale battery energy storage system (Battery Energy Storage System, BESS) can realize the function of peak shaving and valley filling by discharging at peak load and charging at low load. For the power grid, peak-shaving and valley-filling can delay equipment capacity upgrades, improve equipment utilization, and save equipment update costs; for users, peak-to-valley price differences can be used to obtain economic benefits. There are already many large-scale BESSs in operation abroad; in China, China Southern Power Grid has launched a MW-level battery energy storage system demonstration project....
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IPC IPC(8): G06F17/50
Inventor 黄晓东余建国饶宏李永兴李勇琦钟朝现陆志刚王科陈柔伊董旭柱段卫国袁志昌陆超鲍冠南
Owner SOUTHERN POWER GRID PEAK LOAD & FREQUENCY REGULATION GENERATING CO LTD