Distribution Planning Model in Active Distribution Network Considering Fuzziness and Randomness

doi:10.3969/j.issn.1000-7229.2019.02.005

Abstract

Abstract: With large-scale DG accessing into the power system， the mismatch between generation planning and grid structure has aroused people's concern and thinking. Therefore， from the view of the optimal allocation of DG and considering the optimization of grid structure， a DG planning model of active distribution network with fuzziness and randomness is established. Firstly， strong uncertainty introduced by DG， a typical day scene method， which takes into account the fuzziness and randomness of distributed generation output， is proposed to improve the accuracy of the model. Then， the bi-level DG planning model of the active distribution network is constructed with the maximum annual income of the DG suppliers and the minimum annual network loss cost of the distribution company. In addition， in order to promote the consumption of DG， the upper model also considers coordinated optimization process of energy storage system. Finally， on the basis of the improved IEEE 33-node system， the GAMS-DICOPT solver and discrete particle swarm optimization algorithm with adaptive weight are used to solve the planning model， and the validity of the model is verified. The result shows that through the rational allocation of DG and the optimization of grid structure， the multi-stakeholder's win-win situation can be realized and the consumption of DG will be promoted at the same time.

Key words: distribution generation（DG）, generation planning, random and fuzzy feature, bi-level model, life cycle cost

CLC Number:

TM 715

FAN Zhicheng， ZHU Junpeng， WU Han， YUAN Yue. Distribution Planning Model in Active Distribution Network Considering Fuzziness and Randomness[J]. Electric Power Construction, 2019, 40(2): 37-44.

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