Multi-objective Capacity Estimation of Wind - Solar - Energy Storage in
Power Grid Planning Consideration Policy Effect
Abstract
In order to maximize the promotion effect of renewable energy policies,
this paper proposes a capacity allocation optimization method of wind
power generation, solar power and energy storage in power grid planning
under different policy objectives. Firstly, based on the policy
quantification, grey relation analysis is used to calculate the
correlation degree of the policy indicators on the planning capacity of
renewable energy. Further, a multi-objective capacity estimation model
is comprehensively presented. Some highly correlated policy indicators
are transformed into the special constraints. And the economy and the
stability of the power grid are integrated as the objective function.
Meanwhile, the carbon trading and punishment for wind power and solar
power abandonment is considered. Finally, the proposed model is solved
by NSGA-Ⅱ-PSO algorithm. The novelty of the algorithm is that the
crossover operation of NSGA-Ⅱ is replaced by the position updating of
particle swarm. The calculation result of the case study can effectively
evaluate the optimal planning capacity of renewable energy under
different policies, while ensure the economic and the stability of the
power system. The paper can provide the reasonable basis and the valid
analytical method for the policy formulation and the renewable energy
development.