A Distributed Robust Optimization Method for Active Distribution Networks Considering User-Side Participation
With the transformation of the energy structure and the gradual opening of the electricity market,large-scale renewable energy is continuously connected to the distribution network,and the participation of users in the distribution network scheduling has also become an important developing trend.To address this situation,a joint robust optimization method for multi-user distributed power systems considering the uncertainty of power sources and loads is proposed.Firstly,a distributed modeling framework is established for different stakeholders.Secondly,the uncertain robust modeling is conducted for both the distribution network and the uncertainty of power sources and loads within the multi-user system.Finally,an optimization algorithm combining the alternating direction method of multipliers(ADMM)with the column and constraint generation(C&CG)method is proposed to solve the model.Through case studies,it is verified that the proposed method successfully achieves distributed solutions among different stakeholders,protects the privacy of information among them,and exhibits good robustness and resilience against risks caused by the uncertainty of power sources and loads in the power grid.
multi-stakeholder on the user sideuncertainty of sources and loadsrobust optimizationdistributed optimization
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