Combined locating and sizing method for distributed power supply and electric vehicle charging station
A technology of distributed power and electric vehicles, applied in the direction of resources, constraint-based CAD, instruments, etc., can solve the problems affecting the convenience of charging for electric vehicle users, and achieve the effect of ensuring service level
Pending Publication Date: 2022-04-12
SHANGHAI DIANJI UNIV
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Problems solved by technology
[0004] At the same time, the site selection and fixed capacity of electric vehicle charging stations are not only related to the interests of charging station operators, but also greatly affect the charging convenience of electric vehicle users.
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Embodiment Construction
[0046] like figure 1 As shown, the embodiment of the present invention includes a method for joint site selection and capacity determination of distributed power sources and electric vehicle charging stations. The main features of the method include:
[0047] (1) Taking the location and capacity of distributed power sources and electric vehicle charging stations as decision variables, and the investment and operation cost of charging stations, network loss costs, government subsidies, environmental costs, and the minimum distance cost of users as the objective function, construct a model that considers user distance Joint siting and capacity-sizing model of distributed power generation and electric vehicle charging stations for cost;
[0048] (2) Design an improved whale optimization algorithm and verify the superiority of the improved algorithm, and use the Floyd shortest path method to calculate the distance cost. On this basis, the joint site selection and capacity determi...
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The invention discloses a combined locating and sizing method for a distributed power supply and an electric vehicle charging station, which comprises the following steps of: establishing a locating and sizing model which takes the minimum investment operation and maintenance cost of the charging station, the minimum network loss cost, the minimum government subsidy, the minimum environment cost and the minimum journey cost of a user as an objective function, and the expression of the objective function being minC = C1 + C2-C3-C4 + C5; wherein C1 is the annual investment operation and maintenance cost of the charging station; c2 is the network loss cost; c3 is a government subsidy; c4 is environmental cost; c5 is user journey cost; (S2) determining constraint conditions of the locating and sizing model; and (S3) solving the addressing and sizing model by adopting an improved whale optimization algorithm pair and a constraint condition pair. An improved whale optimization algorithm is designed, a self-adaptive weight is added into the algorithm, and the problems that when the whale optimization algorithm is applied to addressing and sizing, the convergence speed is low, and local optimum is likely to happen are solved.
Description
technical field [0001] The invention relates to the field of motor planning, in particular to a joint site selection and capacity determination method for a distributed power supply and an electric vehicle charging station. Background technique [0002] At present, there are relatively few studies on the coordinated planning of distributed power sources and charging stations. However, the joint research and application of electric vehicle charging stations considering distributed power sources is an important research direction at present. The effective and reasonable use of electric vehicle charging stations and distributed power sources can not only maximize environmental and energy benefits, but also increase the stability and security of the power grid. Therefore, the joint planning and more detailed and in-depth research on distributed power generation and electric vehicle charging stations are of great significance. [0003] Distributed power generation technology and...
Claims
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Login to View More IPC IPC(8): G06F30/20G06F30/18G06Q10/06G06Q50/06G06F111/04G06F111/06
CPCY02P90/90
Inventor 王培文沈瑾
Owner SHANGHAI DIANJI UNIV