Overall optimization method for electric power system private network
A power system and overall optimization technology, applied in electrical components, network planning, wireless communication, etc., to achieve the effects of reducing inability to access the network, load balancing, and capacity balancing
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Embodiment 1
[0039] A method for overall optimization of a power system private network, especially for optimizing a power system private network of LTE230, comprising the following steps:
[0040] Step 1: Optimizing base station site selection during power system private network planning;
[0041] Combine the pre-selected base stations within the planning range to obtain several base station combination schemes,
[0042] Based on the base station planning objective function, select the base station combination scheme that satisfies the base station planning objective function as the base station planning scheme,
[0043] Evaluate the construction priority of the base station through the traffic density within the coverage area of the base station.
[0044] Combining the pre-selected base stations includes the following sub-steps:
[0045] Step 11: divide the pre-selected base stations within the planning range into M categories, and number all base stations, and i represents the base ...
Embodiment 2
[0065]This embodiment is another optimization method for LTE230. The difference from Embodiment 1 is mainly in the optimization of base station location: in this embodiment, on the 10kV communication access network, the wireless terminals used in power distribution automation are based on the needs of power services. , install and connect FTU or TTU or DTU power distribution automation terminals, and access to wireless base stations through wireless links, covering the area where power distribution equipment such as switching stations, ring network cabinets, and pole-mounted switches are located, and the data of power distribution automation terminals is transmitted through wireless The dedicated channel of the system is sent to the remote monitoring master station system, and the instructions issued by the monitoring master station are also transmitted to the distribution automation terminal through the wireless network to control the operation of the distribution automation te...
Embodiment 3
[0080] This embodiment is basically the same as Embodiment 2. The difference is that after the preliminary planning is completed, select base station combinations that are ranked in the top of the transmission degree and whose transmission degree is greater than the set standard are selected as key resource base station combinations to carry out key resource transmission degree sort;
[0081] Sub-step 1 of key resource transmission degree sorting: calculate key resource flow density ToA in each grid; ToA z =K z ×(T1×N1+T2×N2+...+Tm×Nm) / S; ToA z is the key resource flow density in each grid, K z is the concurrency coefficient of key resource services in the grid area, which is manually set; Tm is the information communication demand value of each key resource terminal, Nm is the number of key resource terminals corresponding to Tm type in the grid area, and m is less than or equal to n;
[0082] Key resource transmission degree sorting sub-step 2: Calculate the transmission ...
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