The rising penetration of intermittent renewable distributed generation leads to uncertainties in the planning of electric distribution networks.Fully considering the uncertainties pertinent to wind power generation,p...The rising penetration of intermittent renewable distributed generation leads to uncertainties in the planning of electric distribution networks.Fully considering the uncertainties pertinent to wind power generation,photovoltaic power generation and load demand,this paper proposes a scenariobased model for the planning of active distribution systems.The solution obtains the optimal capacities and locations of wind and photovoltaic based distributed generators in the distribution system,whilst minimizing the active and reactive power losses as well as voltage deviation.A scenario matrix is generated using the heuristic moment matching technique that captures the stochastic moments and correlation among historical wind and photovoltaic power,and electricity demand.The scenario matrix is then incorporated to propose a stochastic planning model that considers a multi-objective index for minimizing power losses and voltage deviation.Finally,the effectiveness of the proposed planning model is confirmed using case-studies in 53-bus and IEEE 123-bus distribution systems.展开更多
基金This work was supported in part by the National Natural Science Foundation of China(51777183)the National Natural Science Foundation of Zhejiang Province(LZ15E070001)the National Natural Science Foundation of Jiangsu Province(BK20161142).
文摘The rising penetration of intermittent renewable distributed generation leads to uncertainties in the planning of electric distribution networks.Fully considering the uncertainties pertinent to wind power generation,photovoltaic power generation and load demand,this paper proposes a scenariobased model for the planning of active distribution systems.The solution obtains the optimal capacities and locations of wind and photovoltaic based distributed generators in the distribution system,whilst minimizing the active and reactive power losses as well as voltage deviation.A scenario matrix is generated using the heuristic moment matching technique that captures the stochastic moments and correlation among historical wind and photovoltaic power,and electricity demand.The scenario matrix is then incorporated to propose a stochastic planning model that considers a multi-objective index for minimizing power losses and voltage deviation.Finally,the effectiveness of the proposed planning model is confirmed using case-studies in 53-bus and IEEE 123-bus distribution systems.
