Load Supplying Capability for Distribution Network Considering Distributed Generation Randomness

doi:10.3969/j.issn.1000-7229.2015.11.006

Abstract

Abstract:

Distributed generation （DG） is more and more widely used and gradually connected to the distribution network， whose influence on the distribution network is significant. However， current calculation methods of load supplying capability （LSC） for distribution network do not consider the randomness effects of DG. To solve this problem， LSC model was proposed firstly. With considering the randomness of DG in the probabilistic power flow calculation of Monte Carlo simulation， the improved load factor method and the LSC approximation method with considering voltage and the branch power constraints were applied to calculate the LSC of distribution network. Then the IEEE-33 example of distribution network was used to validate the effectiveness of the proposed model and algorithm， and the LSC variations in different scenarios were simulated. Simulation results show that the DG connected to distribution network can promote the network static safety margin， and the randomness of DG affects the LSC distributed characteristics. Finally the weak link that restricted the LSC promotion was analyzed. It is suggested to add voltage regulator or automatic reactive compensator at low level voltage nodes.

Key words: distributed generation, randomness, load supplying capability, improved load factor method, voltage and branch power constraints

CLC Number:

TM 76

ZHANG Liming，QI Xianjun. Load Supplying Capability for Distribution Network Considering Distributed Generation Randomness[J]. ELECTRIC POWER CONSTRUCTION, 2015, 36(11): 38-44.

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