Abstract
The ability to withstand extreme disasters has a profound impact on the distribution network operation. This paper proposes a novel optimal operation strategy for an active distribution network to enhance system resilience.. The objectives in the proposed optimal strategy include, the resilience, operation cost, and its pollutant emissions. According to the existence of uncontrollable distributed energy resources in the active distribution network, the problem which takes the uncertainty most into account, is this multi-objective optimization problem. Thus, it can be treated as a min-max dual robust optimization problem. Benders decomposition is employed to decouple the problem, then non-dominated sorting genetic algorithm II is applied to search the multi-objective optimal solution which has an extremely low CPU time. The modified standard IEEE 34-node system, with different distributed energy resources types, is employed, as a studied case, to demonstrate the effectiveness of the proposed optimal operation strategy. The simulation results illustrate that, compared to other economic-oriented robust optimal operation models, the proposed strategy can enhance system resilience without a significant increase in the operation cost and pollutant emissions.
Highlights
The adverse impacts of extreme weather events and natural disasters on electric grids has attracted worldwide attention, and the way to enhance the distribution network (DN) resilience needs to further studied
In order to increase the recovery ability under the power interruption of the main grid, multi types of distributed energy resources (DER) consisting of non-dispatchable sources, dispatchable distributed micro-sources, and energy storage units integrate into the DN
This paper proposes a resilience-oriented active distribution network (ADN) optimal strategy when a power interruption
Summary
The adverse impacts of extreme weather events and natural disasters on electric grids has attracted worldwide attention, and the way to enhance the distribution network (DN) resilience needs to further studied. The ability to overcome and recover from incidents, such as power interruption, in an optimal operation mode, is necessary for any power system. In order to increase the recovery ability under the power interruption of the main grid, multi types of distributed energy resources (DER) consisting of non-dispatchable sources, dispatchable distributed micro-sources, and energy storage units integrate into the DN. The examples of non-dispatchable sources, include but are not limited to, photovoltaic (PV) panels and wind turbines (WT). Photovoltaic power generation is a static power generation, has zero emission, zero radiation, and zero pollution. It has low operating and maintenance costs, does not include fuel-free costs, and is unaffected by rising energy prices. The gradual integration of DER brings new challenges and requirements to the traditional DN planning and operation strategy [3]
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