Study of Coordinated Network Source Planning Method Considering Multi-Energy Integration and Complementarity
To fully exploit the multi-temporal and spatial complementary potentials of different types of power sources and improve the energy utilization level,a coordinated network source planning method considering complementary operation of integrated wind,photovoltaic,water,fire and storage is proposed.Firstly,a two-layer network source planning model is constructed by introducing net load,multi-energy complementary coefficients and constraints of integrated wind,photovoltaic,water,fire and storage power plants.Secondly,based on the artificial bee colony (ABC) algorithm,the global optimization search strategy of bee colony is retained,and the quantum particle swarm optimization (QPSO) algorithm is introduced to the nectar search link,which comprehensively considers the local optimum and global optimum for the position updating,and the upper-lower-layer models are solved by the improved hybrid genetic algorithm and ABC-QPSO.Finally,the effectiveness of the network source planning model and the superiority of the algorithm are verified by taking the improved IEEE-24 node system as an example.The method considers the integrated and complementary operation of wind,photovoltaic,water,fire and storage,which can reduce the investment in grid construction and obtain a planning scheme that considers economy,security and coordination.The method has wide applicability and can be applied to a variety of scenarios.
Integrated wind,photovoltaic,water,fire and storageGoordinated network source planningComplementary operationNet loadMulti-energy complementary coefficientIntegrated power plant constraints
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