| Title |
Research On Optimal Dispatching Of Active Distribution Network Based On Conditional Value At Risk |
| ID_Doc |
45532 |
| Authors |
Zhou W.; Wang H.; Gao Y.; Peng F.; Gao Z.; Sun H. |
| Year |
2019 |
| Published |
Proceedings - 2019 3rd International Conference on Smart Grid and Smart Cities, ICSGSC 2019 |
| DOI |
http://dx.doi.org/10.1109/ICSGSC.2019.00010 |
| Abstract |
The integration of large-scale renewable distributed power supply will change the power flow distribution of distribution network, which leads to the possibility of overvoltage and line blocking during the system operation. In this paper, the conditional value at risk(CVaR) theory is used to construct the risk assessment indexes of voltage overrun and power flow overrun. The optimization scheduling model of active distribution network(ADN) considering CVaR security constraints is established to pursue the economic optimization on the basis of ensuring the safe operation. In order to verify the rationality and superiority of the model and method proposed in this paper, the simulation calculation is carried out on the improved IEEE33 node test system. The results show that the scheduling model can objectively reflect the system operation risks, control the system risks within the allowable range, and ensure the safe and economic operation of ADN © 2019 IEEE. |
| Author Keywords |
active distribution network; generation(DG); optimal dispatching; risk |
