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Sustainability 2016, 8(2), 193;

Optimal Distributed Generator Allocation Method Considering Voltage Control Cost

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, No. 2 Beinong Road, Changping District, Beijing 102206, China
Author to whom correspondence should be addressed.
Academic Editor: Andrew Kusiak
Received: 17 November 2015 / Revised: 28 January 2016 / Accepted: 15 February 2016 / Published: 22 February 2016
(This article belongs to the Section Energy Sustainability)
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Up till now, the high penetration of intermittent distributed generation (DG) has posed great challenges to the planning and operation of the grid. To achieve the best balance between economic cost and acceptable capacity of DG, this paper proposes a new integrated planning method of the active distribution network while considering voltage control cost. Firstly, characteristics of decentralized and centralized voltage control methods were analyzed. The technical frameworks, voltage control strategies and economical models of different voltage control systems were put forward. Then, an integrated planning model with objectives to minimize the comprehensive cost and maximize clean energy utilization under the constraint of maintaining acceptable voltage was implemented. Simulations were conducted using the Multi-objective Differential Evolution Algorithm (MODE). IEEE 33-bus test systems were employed to verify the effectiveness of the proposed method. The results demonstrate that the proposed approach is able to connect larger distributed generators and decrease the economic cost of Distribution Network Operators while maintaining voltage within the statutory limits. View Full-Text
Keywords: active distribution system; distributed generation; planning; voltage control active distribution system; distributed generation; planning; voltage control

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Liu, W.; Xu, H.; Niu, S.; Xie, J. Optimal Distributed Generator Allocation Method Considering Voltage Control Cost. Sustainability 2016, 8, 193.

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