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access icon free Evaluating maximum photovoltaic integration in district distribution systems considering optimal inverter dispatch and cloud shading conditions

  • Author(s): Tao Ding 1 ; Yu Kou 1 ; Yongheng Yang 2 ; Yiyang Zhang 3 ; Huan Yan 4 ; Frede Blaabjerg 2
    • View affiliations
    • Affiliations: 1: State Key Laboratory of Electrical Insulation for Power Equipment, Xi'an Jiaotong University, No. 28, Xianning West Road, Xi'an 710049, Shaanxi, People's Republic of China ;
      2: Department of Energy Technology, Aalborg University, Pontoppidanstraede 101, Aalborg 9220, Denmark ;
      3: Shaanxi Electric Power Research Institute, Xi'an 710054, Shaanxi, People's Republic of China ;
      4: Shaanxi Electric Power Corporation Economic Research Institute, Xi'an 710065, Shaanxi, People's Republic of China
  • Source: Volume 11, Issue 1, 11 January 2017, p. 165 – 172
    DOI:  10.1049/iet-rpg.2016.0401 , Print ISSN 1752-1416, Online ISSN 1752-1424
© The Institution of Engineering and Technology
Received 18/05/2016, Accepted 11/08/2016, Revised 29/07/2016, Published 18/08/2016

As photovoltaic (PV) integration increases in distribution systems, to investigate the maximum allowable PV integration capacity for a district distribution system becomes necessary in the planning phase, an optimisation model is thus proposed to evaluate the maximum PV integration capacity while guaranteeing the entire system operating constraints (e.g. network voltage magnitude) within reasonable ranges in this study. Meanwhile, optimal inverter dispatch is employed to further improve the PV integration by ensuring the optimal set-points of both active power and reactive power for the PV inverters. However, the intermittency of solar PV energy (e.g. due to passing clouds) may affect the PV generation in the district distribution network. To address this issue, the voltage magnitude constraints under the cloud shading conditions should be taken into account in the optimisation model, which can be formulated as a mixed integer non-linear non-convex programming. Furthermore, a sequential interior-point method is utilised to solve this problem. Case studies on the IEEE 33-bus, 69-bus distribution networks and two practical distribution networks in China demonstrate the effectiveness of the proposed method.

Inspec keywords: power generation dispatch; power distribution planning; integer programming; invertors; concave programming; power generation planning; photovoltaic power systems; nonlinear programming

Other keywords: solar PV energy intermittency; reactive power; active power; district distribution network; PV inverters; network voltage magnitude; IEEE 33-bus distribution network; maximum PV integration capacity; planning phase; sequential interior-point method; optimisation model; optimal set-points; district distribution systems; voltage magnitude constraint; mixed integer nonlinear nonconvex programming; optimal inverter dispatch; China; cloud shading condition; IEEE 69-bus distribution network

Subjects: Optimisation techniques; Power system planning and layout; Distribution networks; DC-AC power convertors (invertors); Solar power stations and photovoltaic power systems

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