An optimal scheduling method for active distribution network considering source network load storage coordination
DOI：DOI: 10.19783/j.cnki.pspc.210348
Key Words:active distribution network  source network load storage  optimal scheduling model  imperial competitive algorithm  differential evolution algorithm
Author NameAffiliation
LUO Jinman 1. Dongguan Power Supply Bureau Information Center, Guangdong Power Grid Corporation, Dongguan 523000, China
2. Southern Power Grid Shenzhen Digital Grid Research Institute Co., Ltd., Shenzhen 518053, China 
LIU Liyuan 1. Dongguan Power Supply Bureau Information Center, Guangdong Power Grid Corporation, Dongguan 523000, China
2. Southern Power Grid Shenzhen Digital Grid Research Institute Co., Ltd., Shenzhen 518053, China 
LIU Piao 1. Dongguan Power Supply Bureau Information Center, Guangdong Power Grid Corporation, Dongguan 523000, China
2. Southern Power Grid Shenzhen Digital Grid Research Institute Co., Ltd., Shenzhen 518053, China 
YE Ruijing 1. Dongguan Power Supply Bureau Information Center, Guangdong Power Grid Corporation, Dongguan 523000, China
2. Southern Power Grid Shenzhen Digital Grid Research Institute Co., Ltd., Shenzhen 518053, China 
QIN Peng 1. Dongguan Power Supply Bureau Information Center, Guangdong Power Grid Corporation, Dongguan 523000, China
2. Southern Power Grid Shenzhen Digital Grid Research Institute Co., Ltd., Shenzhen 518053, China 
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Abstract:Aiming at the integrated operational goal of source network load and storage, an active distribution network coordinated operation scheduling method considering source network load and storage is proposed. Based on the idea of multiple timescales, a day ahead day optimal dispatch model of an active distribution network with two complementary timescales is established with the objective of minimizing the adjustable quantity and maximizing the new energy consumption. A differential evolution algorithm and empire competition algorithm are combined to solve the optimal scheduling model. Simulation verifies the superiority of the proposed method. The simulation results show that this method can effectively reduce the load fluctuation and operational cost, increase the new energy consumption rate by 9.1%, and has clear practicality. This work is supported by the Science and Technology Project of China Southern Power Grid Co., Ltd. (No. 031900HK42200008).
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