This paper proposes a two-layer optimization scheduling strategy for distribution networks with a high proportion of distributed PV systems based on the C&CG algorithm. Firstly
a two-layer optimization scheduling model for distribution networks is established. The upper-layer model multi-dimensional voltage deviation levels and static voltage stability
with the objectives of minimizing distribution network losses and optimizing multi-dimensional power quality. The lower-layer model considers energy storage devices
strategies such as demand response participation in scheduling
with the objective of minimizing the overall operational expenses of the distribution network. The adaptive ε-constraint method combined with multi-objective particle swarm optimization algorithm is employed to obtain a uniformly distributed Pareto frontier
and the TOPSIS decision-making method is used to select the optimal solution. Finally
the C&CG algorithm is used to iteratively solve the two-layer model. The proposed strategy is validated through improved IEEE 33-node system example
demonstrating that it can reduce network losses
increase the consumption rate of renewable energy sources
and decrease the comprehensive operating costs of distribution networks while ensuring the optimal power quality of the distribution network.
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