Dynamic Restoration Electricity Price Optimization Method to Enhance the
Resilience of Distribution Networks with MMG
Abstract
Resilience is one of the main features of smart distribution network,
and a microgrid access to the distribution network provides an effective
way to improve resilience. Microgrid and distribution network belong to
different interests, so it is necessary to use price leverage to
actively guide microgrids and flexible resources within microgrid to
participate in post-disaster restoration of distribution network and
enhance the resilience. Firstly, this paper proposes a dynamic
restoration electricity price response mechanism for distribution
network after extreme disasters and constructs a power response model
for loads and electric vehicles within the microgrid. Secondly, the
optimal scheduling model of distribution network with multiple-microgrid
is proposed to improve the restoration rate of critical loads(RRCL) in
the distribution network. Single microgrid achieves the largest
microgrid revenue and restoration contribution, and multi-microgrid uses
the power headroom index to optimize the dynamic restoration electricity
price to achieve the smallest power purchase cost of distribution
network. Finally, the optimal scheduling method for resilience
enhancement of distribution networks with MMG considering dynamic
restoration electricity price response mechanism is validated by dual
microgrid access to IEEE 33-node distribution system. The simulation
results show that the proposed optimization method effectively improves
the RRCL of distribution network.