Interconnected microgrid energy storage configuration capacity expansion optimization method
An optimization method and energy storage technology, applied in the field of energy storage systems, can solve problems such as overloading of lines and power distribution equipment, load outages, and rising operating costs of microgrids
Active Publication Date: 2020-05-26
BEIJING JIAOTONG UNIV
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Problems solved by technology
In the traditional micro-grid energy storage configuration research, the operation scenarios with a high probability of occurrence are mainly considered, while some extreme scenarios with a low probability of occurrence and serious consequences are ignored, such as low power generation from micro-sources and high load demand, Or micro-source output and load power fluctuate violently. In this scenario, partial load power outages, overloading of lines and power distribution equipment may occur, which will increase the operating cost of the micro-grid. Therefore, possible technical risks in micro-grid planning and economic risks cannot be ignored
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[0149] In order to illustrate the present invention more clearly, the model and solution method proposed by the present invention will be further described below.
[0150] (1) Photovoltaic probability model
[0151] The output of the photovoltaic unit depends on the angle and intensity of the incident light. The light radiation intensity approximately satisfies the Beta distribution in the short term. The probability density function of the light radiation intensity is shown in the following formula:
[0152]
[0153] Among them: G, G max are the actual light radiation intensity and its maximum value in a certain period of time, Γ(·) represents the Gamma function, and γ and β are the shape coefficients of the Beta distribution;
[0154] γ and β respectively use the formulas (2) and (3) to count the mean value μ of the light radiation intensity within a certain period of time NG and variance After that:
[0155]
[0156]
[0157] The output of photovoltaics in eac...
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The invention relates to an interconnected microgrid energy storage capacity expansion optimization method. A multi-stage interconnected microgrid energy storage capacity double-layer optimization model is constructed by setting a planning period and considering year-by-year increase of a load peak value, an NDDG unit and DDG unit configuration capacity. The upper-layer model takes the lowest annual net present value of the interconnected microgrid in the yth year after the capacity expansion of energy storage units as a target, and optimizes the capacity of each energy storage unit additionally arranged in each microgrid in the year on the basis of the energy storage configuration capacity in each microgrid in the (y-1)th year; and the lower-layer model formulates an optimal operation strategy by taking the lowest total operation cost of the interconnected microgrid in each operation scene in the yth year as a target. The double-layer optimization model is constructed into a large-scale double-layer mixed integer linear programming problem, and the rated capacity and rated power of energy storage of each microgrid in the year are optimized by taking the lowest total cost of the energy storage units in the microgrid i after capacity expansion in each operation scene s in the yth year as a target, and the operation strategy of the interconnected microgrid in the scene after energy storage and capacity expansion is optimized.
Description
technical field [0001] The invention relates to the field of energy storage systems. More specifically, it relates to an optimization method for energy storage expansion of interconnected microgrids. Background technique [0002] The randomness of the output of renewable energy generation units in the microgrid and the change of load demand should be considered in the multi-stage planning of the energy storage capacity of the microgrid. In the traditional micro-grid energy storage configuration research, the operation scenarios with a high probability of occurrence are mainly considered, while some extreme scenarios with a low probability of occurrence and serious consequences are ignored, such as low power generation from micro-sources and high load demand, Or micro-source output and load power fluctuate violently. In this scenario, partial load power outages, overloading of lines and power distribution equipment may occur, which will increase the operating cost of the mic...
Claims
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IPC IPC(8): H02J3/00H02J3/38H02J3/48G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06H02J3/008H02J3/48Y02E40/70Y04S10/50
Inventor 谢桦许寅滕晓斐
Owner BEIJING JIAOTONG UNIV
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