A capacity allocation method for multi-energy complementary power generation system containing water and light
A power generation system and capacity allocation technology, applied in photovoltaic power generation, power network operating system integration, circuit devices, etc., can solve the problem of low allocation yield
Active Publication Date: 2020-02-14
SICHUAN UNIV
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[0004] Aiming at the above-mentioned deficiencies in the prior art, the present invention provides a method for capacity allocation of multi-energy complementary power generation systems containing water and light, which solves the problem of low profitability in the configuration of existing power generation systems
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[0081] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.
[0082] Such as figure 1 As shown, the capacity configuration method of the water-light multi-energy complementary power generation system includes the following steps:
[0083] S1. Obtain the historical output value, output change rate and historical electricity price of the multi-energy complementary power generation system containing water and light;
[0084] S2. According to the historical output value, output change ra...
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The invention discloses a method for configuring the capacity of a multi-energy complementary power generation system containing water and light, which includes the following steps: S1. Obtaining the historical output value, output change rate and historical electricity price of the multi-energy complementary power generation system containing water and light; S2. Optical multi-energy complementary power generation system output model, virtual power source cost model, mid-to-long-term power ratio and decomposition model, spot price uncertainty model, and capacity allocation model based on economics and complementary characteristics; S3, obtaining spot prices in the current power market , the medium and long-term price and the growth rate of local load demand, and obtain the annual yield of each scheme in the current power generation system capacity planning scheme set; S4, take the scheme with the highest annual yield as the optimal scheme, and complete the configuration of the power generation system capacity. Based on the consideration of system economy and complementary characteristics, the present invention obtains the annual system capacity configuration schemes of each planning level, optimizes the best scheme, and completes the capacity configuration.
Description
technical field [0001] The invention relates to the field of power generation systems, in particular to a method for capacity allocation of a water-light multi-energy complementary power generation system. Background technique [0002] The multi-energy complementary system containing water and light has become a hot research object at home and abroad. Among them, how to make a reasonable capacity allocation to give full play to the complementary effect of the system has become a key issue of research. It is the trend of the times for multi-energy complementary systems containing water and light to enter the market. In the spot market environment, the medium-to-long-term power ratio and its decomposition method of the multi-energy complementary power generation system, as well as the volatility of spot prices, all bring uncertain challenges to capacity allocation. Due to the strong seasonal characteristics of hydropower output, there are obvious differences in the complement...
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IPC IPC(8): H02J3/00H02J3/38
CPCH02J3/382H02J3/383H02J3/008H02J2310/64Y02B10/10Y02B70/3225Y02E10/56Y04S20/222
Inventor 刘继春李健华刘俊勇
Owner SICHUAN UNIV