Multi-Objective Coordinated Planning of Distributed Generation and AC/DC Hybrid Distribution Networks Based on a Multi-Scenario Technique Considering Timing Characteristics

Yongchun Yang, Xiaodan Wang, Jingjing Luo, Jie Duan, Yajing Gao, Hong Li and Xiangning Xiao
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Yongchun Yang: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Xiaodan Wang: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Jingjing Luo: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Jie Duan: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Yajing Gao: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Hong Li: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Xiangning Xiao: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China

Energies, 2017, vol. 10, issue 12, 1-29

Abstract: With increased direct current (DC) load density and the penetration of a large number of distributed generation (DG) units in alternating current (AC) distribution networks (DNs); a planning approach that considers transforming some of the AC lines into DC lines and building the DC network is proposed. Considering the DG output uncertainty and the load fluctuation, a planning model for an AC/DC hybrid distribution network (DN) with the DG based on the construction of multi-scenario technology with timing characteristics is built. In the DG configuration planning model, the lines to be transformed into DC form the access location and the decision regarding the DC or AC form of the newly built lines are considered optimizing variables. The DG investment, the network and converters of the DG and load, the active power loss and the voltage stability are considered in the objective functions. An improved adaptive niche genetic algorithm based on the fuzzy degree of membership and variance weighting is used to solve the nested model. Finally, considering the improved electrical and electronic engineers 33 (IEEE33) node system as an example, the correctness and effectiveness of the proposed planning method are verified. Compared to the plan without transforming some of the AC lines into DC lines and building a DC network, more DG can be admitted, and the economic cost of the AC/DC hybrid DN is notably decreased when planning to transform some of the AC lines into DC lines and build a DC network. The active power network loss and the voltage stability index are similarly further optimized.

Keywords: distributed generation (DG); timing characteristics; multi-scenario technology; the planning of an alternating/direct current (AC/DC) hybrid distribution network (DN); improved adaptive niche genetic algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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