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A MULTI-OBJECTIVE OPTIMAL DISPATCH IN ACTIVE DISTRIBUTION NETWORK WITH THE PARTICIPATION OF INTEGRATED ENERGY ALLIANCE

摘要


Cooperative game mechanisms have attracted widespread attention because it is conducive to reducing the total cost of various system and reasonably distributing the benefits of the system. The cooperative game mechanisms are considered to be used in systems where integrated energy systems (IES) interact with each other. However, there is lack of research on the involvement of the Integrated Energy System Alliance (IESA) in Active Distribution Network (ADN) optimal dispatch. In this paper, a multi-objective and double-layer optimal dispatching model of the ADN with the participation of the IES is established. Firstly, a comprehensive energy alliance scheduling model with comprehensive costs as its goal is established. Secondly, a multi-source collaborative dispatching model of the ADN with IESA, distributed generation and energy storage equipment is established, and its objective function is comprehensive dispatch costs, comprehensive vulnerability and load curve variance. Then, Analysis Target Cascading (ATC) is used in combination with the improved Quantum Particle Swarm Optimization (QPSO) to solve the model. Finally, a study analysis was performed in improved IEEE33 system. The case results show that the improved QPSO and linear system hybrid algorithm proposed can effectively solve the two-layer system model of ADN and IESA and IESA of the multi-energy complementary can not only reduce the costs of the IES systems, but also better respond to the active regulation of ADN.

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