Multi-objective Optimization For Active Distribution Network Scheduling Improving Renewable Energy Utilization

The utilization of distributed generations (DGs), especially distributed renewable energy generations (DREGs), is growing rapidly due to energy crisis worldwide. Active distribution network (ADN) has systems which is able to control distributed energy resources (DERs) through a combination of communication and automation techniques. Hence, the application of ADN is beneficial of comprehensive utilization of DGs. In this paper, an optimal operation method of ADN considering active/reactive power of DREGs is proposed, and the following aspects are included.Firstly, the construction of ADN is introduced based on DERs and demand resources. Additionally the control mode of DGs, Energy storage system and controllable loads are analyzed. Among them, the active/reactive decoupled control method of DC-AC based DREG is highlighted. Then the optimal day-ahead scheduling strategy is proposed aiming at the maximum utilization of renewable energy.Secondly, in order to realize collaborative optimization of economic and environment benefits, the day-ahead multi-objective optimization model of ADN is introduced. While the economic benefits of distribution system operators are represented by the operation cost of ADN. The environment benefits are represented by the power cut of wind turbines and Photovoltaic. The operating efficiency is represented by power loss of the network.Thirdly, a multi-objective self-adaptive harmony search (MSHS) algorithm is proposed for the nonlinear multi-dimension mixed integer programming problem. The self-adaptive strategy of parameters and optimal step-size method are employed aiming at enhance the comprehensive efficiency of the algorithm.Lastly, an expanded IEEE 33 nodes distribution system is applied for the case study. The Pareto fronts shows that the operation cost and power loss are increased while the utilization of DREGs is enhanced. The analyses also show that the reactive regulation capacity of DREGs is beneficial for enhancement of the ADN’s operation efficiency. The multi-voltage renewable energy utilization strategy is testified for the comprehensive consumption of clean energy.