Multiple (TEES)-Criteria-Based Sustainable Planning Approach for Mesh-Configured Distribution Mechanisms across Multiple Load Growth Horizons

作     者：Kazmi, Syed Ali Abbas Ameer Khan, Usama Ahmad, Waleed Hassan, Muhammad Ibupoto, Fahim Ahmed Bukhari, Syed Basit Ali Ali, Sajid Malik, M. Mahad Shin, Dong Ryeol 

作者机构：Natl Univ Sci & Technol NUST US Pakistan Ctr Adv Studies Energy USPCAS E H-12 Campus Islamabad 44000 Pakistan Balochistan Univ Informat Technol Engn & Manageme Dept Min Engn Quetta 87300 Pakistan Univ Azad Jammu & Kashmir Dept Elect Engn Muzaffarabad Azad Jammu & Ka Pakistan Sungkyunkwan Univ SKKU Coll Informat & Commun Engn CICE Dept Elect & Comp Engn Suwon 16419 South Korea 

出 版 物：《ENERGIES》 (能源)

年 卷 期：2021年第14卷第11期

页      面：3128页

核心收录：

学科分类：0820[工学-石油与天然气工程] 08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：National University of Science and Technology (NUST), Islamabad, Pakistan NUST, Islamabad, Pakistan 

主　　题：distributed generation distributed static compensator distribution network planning load growth microgrid multicriteria decision making voltage stability index 

摘      要：Modern distribution mechanisms within the smart grid paradigm are considered both reliable in nature and interconnected in topology. In this paper, a multiple-criteria-based sustainable planning (MCSP) approach is presented that serves as a future planning tool for interconnected distribution mechanisms and aims to find a feasible solution among conflicting criteria of various genres. The proposed methodology is based on three stages. In the stage 1, a weighted voltage stability index (VSI_W) and loss minimization condition (LMC) based approach aims at optimal asset optimization (sitting and sizing). In this stage, an evaluation of alternatives (solutions) is carried out across four dimensions (technical, economic, environmental, and social) of performance metrics. The assets considered in the evaluations include distributed generation (DG), renewable DGs, i.e., photovoltaic (PV), wind, and distributed static compensator (D-STATCOM) units. In the stage 2, various multicriteria decision-making (MCDM) methodologies are applied to ascertain the best trade-off among the available solutions in terms of techno-cost (economic) (TCPE), environment-o-social (ESPE), and techno-economic-environmental-socio (TEES) performance evaluations (OPE). In the stage 3, the alternatives are evaluated across multiple load growth horizons of 5 years each. The proposed MCSP approach is evaluated across a mesh-configured 33-bus active distribution network (ADN) and an actual NUST (which is a university in Islamabad, Pakistan) microgrid (MG), with various variants of load growth. The numerical findings of the proposed MCSP approach are compared with reported works the literature supports its validity and can serve as an important planning tool for interconnected distribution mechanisms for researchers and planning engineers.