Planned Scheduling for Economic Power Sharing in a CHP-Based Micro-Grid

被引：199

作者：

Basu, Ashoke Kumar ^{[1
]}

Bhattacharya, Aniruddha ^{[2
]}

Chowdhury, Sunetra ^{[3
]}

Chowdhury, S. P. ^{[3
]}

机构：

[1] CIEM, Dept Elect Engn, Kolkata, India

[2] Jadavpur Univ, Dept Elect Engn, Kolkata, India

[3] Univ Cape Town, Dept Elect Engn, ZA-7925 Cape Town, South Africa

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2012年 / 27卷 / 01期

关键词：

Diesel generator; differential evolution; economic emission load dispatch; loss sensitivity index; micro-turbine; particle swarm optimization; BIOGEOGRAPHY-BASED OPTIMIZATION; DISTRIBUTED GENERATION;

D O I：

10.1109/TPWRS.2011.2162754

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

At the planning of combined heat and power (CHP)-based micro-grid, its distributed energy resources (DER) capacity is to be selected and deployed in such a way that it becomes economically self-sufficient to cater all the loads of the system without utility's participation. Economic deployment of DERs is meant to select optimal locations, optimal sizes, and optimal technologies. Optimal locations and sizes, which are independent of CHP-based DERs types, are selected, here, by loss sensitivity index (LSI) and by loss minimization using particle swarm optimization (PSO) method, respectively. In a micro-grid, both fuel costs and NOx emissions are, mainly, dependent on types of DERs used. So the main focus of the present paper is to incorporate originality in ideas to evaluate how different optimal output sets of DER-mix, operating within their respective capacity limits, could share an electrical tracking demand, economically, among micro-turbines and diesel generators of various sizes, satisfying different heat demands, on the basis of multi-objective optimization compromising between fuel cost and emission in a 4-DER 14-bus radial micro-grid. Optimization is done using differential evolution (DE) technique under real power demand equality constraint, heat balance inequality constraint, and DER capacity limits constraint. DE results are compared with PSO.

引用

页码：30 / 38

页数：9

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