Considering cost and reliability in electrical and thermal distribution networks reinforcement planning

被引:28
|
作者
Abbasi, Ali Reza [1 ]
Seifi, Ali Reza [1 ]
机构
[1] Shiraz Univ, Sch Elect & Comp Engn, Shiraz, Iran
关键词
Energy expansion planning; Reliability; Reconfiguration; Improved teacher learning optimization; DISTRIBUTION FEEDER RECONFIGURATION; DISTRIBUTION-SYSTEMS; EXPANSION; GENERATION; GAS; OPTIMIZATION; UNCERTAINTY; ALGORITHM; MODEL;
D O I
10.1016/j.energy.2015.01.113
中图分类号
O414.1 [热力学];
学科分类号
摘要
The concurrent expansion of both electrical and thermal energy distribution systems has been addressed in this paper. The EEP (energy expansion planning) is formulated as a multi-objective optimization problem which is subjected to reduced I&O (investment and operation) costs as well as to improve the system reliability. As a result, apart from the total costs, the reliability measures of SAIFI (system average interruption frequency index), SAIDI (system average interruption duration index), and AENS (average,energy not supplied) have been included in the objective function. Moreover the ability of the system reconfiguration in enhancing the system reliability has also been employed as a failure rate reduction strategy. The proposed EEP problem tries to minimize the objective function with respect to system constraints by means of rewiring, network reconfiguration, installation of new lines and also new electrical/thermal generating units. Such complex large-scale optimization problem mandates the utilization of an effective optimization tool to find the global optimum solution. The well-known TLO (Teaching Learning Optimization) is the core of exploited optimization method, ITLO (Improved TLO), in solving the proposed static EEP problem. In order to evaluate the proposed algorithm, two modified test systems are used as case studies. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:25 / 35
页数:11
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