Capacity planning method of battery energy storage system for IEEE-33 node system
A technology of battery energy storage system and capacity planning, which is applied in the direction of electric energy storage system, flexible AC transmission system, wind power generation, etc.
Active Publication Date: 2019-10-22
JIANGSU ELECTRIC POWER CO +1
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Problems solved by technology
[0004] The problem to be solved by the present invention is to provide a battery energy storage system capacity planning method for IEEE-33 node system, to solve the problem of access location and capacity configuration when accessing BESS in IEEE-33 node system, which can effectively Configure BESS capacity and reduce BESS input costs
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[0016] The present invention will be further described in detail below in conjunction with specific examples, which are for explanation of the present invention rather than limitation.
[0017] 1. IEEE-33 node system
[0018] The original data of the IEEE-33 node system is shown in Table 1.
[0019] Table 1 Raw data of IEEE-33 node system
[0020]
[0021] 2. System parameter initialization and genetic algorithm
[0022] The system parameters are initialized as follows: N=300; K=4; mutation probability f by =0.01; population size Z=36; elimination rate f t =0.1; protection rate f bb = 0.1; crossover probability f jc =0.6; voltage reference E b =12.66kV; power reference S b = 10 MVA.
[0023] The active power loss P of the system is calculated through power flow analysis l As follows: The active power loss of the system is calculated as where R i is the branch resistance, I ij is the current of branch ij between node i and node j, which can be passed through the...
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The invention discloses a capacity planning method of a battery energy storage system for an IEEE-33 node system. The method comprises the following steps of: acquiring original data of each node in asystem aiming at an IEEE-33 node system; then initializing the number of battery energy storage systems, and iteration times and genetic algorithm parameters of the battery energy storage systems; calculating individual fitness of a genetic algorithm and correspondingly sequencing the individual fitness by using system active power loss obtained by load flow analysis; and performing selecting, crossing, mutating and the like by using the sequenced individuals as genetic operators so as to obtain and store the current optimal individuals until the iteration times are reached, finishing iteration cycle, and outputting the optimal capacity of the battery energy storage system. The capacity planning method of the battery energy storage system can effectively configure the capacity of the battery energy storage system of an IEEE-33 node system, and can be suitable for capacity configuration of different types of battery energy storage systems such as lithium ions, lead acid, nickel cadmiumand the like.
Description
technical field [0001] The invention belongs to the technical field of design and control of a MW-level battery energy storage system in a smart grid, and relates to a battery energy storage system capacity planning method for an IEEE-33 node system. Background technique [0002] At present, renewable new energy sources such as wind power generation and photovoltaic power generation have been rapidly developed at home and abroad, but these new energy power generation have inherent characteristics such as intermittent, fluctuating, and uncertainties, which lead to large-scale grid connection to the power system security. , Stable operation brings great challenges. The application of battery energy storage system (BESS) provides an effective way to solve the large-scale access of renewable energy to the grid. However, due to the constraints of battery materials, manufacturing processes and other factors, the current battery price is still relatively high. BESS's The capacity ...
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Login to View More IPC IPC(8): H02J3/00H02J15/00
CPCH02J3/00H02J15/00H02J2203/20Y02E70/30
Inventor 马汝祥侍红兵周洪益胥峥胡志林
Owner JIANGSU ELECTRIC POWER CO