Multi-Objective Optimal Dispatching of Microgrid With Large-Scale Electric Vehicles

Dispatching the output of distributed power sources is the main task in the microgrid operation phase. This task is more concerned with the optimal dispatch of large electric vehicles connected to the grid-connected microgrid today.Full consider the influence of storage battery and peak-valley electricity price, its objective is to minimize the operating cost of microgrid and the cost of environmental protection, and establishing economic dispatching model of microgrid. To solve this constrained optimization problem, an annealing mutation particle swarm optimization algorithm is proposed. Through simulation and comparison, the dispatching cost results of microgrid are obtained under two dispatching modes of electric vehicle disorder and order. It is concluded that the orderly charging and discharging mode guided by electricity prices can effectively reduce the operating cost and environmental protection cost of microgrid. Improving the economy and reliability of microgrid operation.

[1]  Hui Wang,et al.  Optimal capacity configuration of hybrid energy storage for an isolated microgrid based on QPSO algorithm , 2015, 2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT).

[2]  Wang Jing,et al.  Microgrid economic dispatch method considering electric vehicles , 2016 .

[3]  Kaile Zhou,et al.  Multi-objective optimal dispatch of microgrid containing electric vehicles , 2017 .

[4]  W. Marsden.  I and J , 2012 .

[5]  Xin Meng,et al.  An Improved PLL Based Seamless Transfer Control Strategy , 2018, 2018 International Power Electronics Conference (IPEC-Niigata 2018 -ECCE Asia).

[6]  H.N. Koivo,et al.  System Modelling and Online Optimal Management of MicroGrid Using Multiobjective Optimization , 2007, 2007 International Conference on Clean Electrical Power.

[7]  Subrata K. Sarker,et al.  A survey on control issues in renewable energy integration and microgrid , 2019, Protection and Control of Modern Power Systems.

[8]  François Bouffard,et al.  Microgrid Economic Dispatch With Energy Storage Systems , 2018, IEEE Transactions on Smart Grid.

[9]  Wang Gang,et al.  Low-carbon configuration optimization for multi-energy complementary microgrid , 2017, 2017 36th Chinese Control Conference (CCC).