Energy Consumption Optimization with Optimal DG Allocation Using PSO and sensitivity analysis
سال انتشار: 1392
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,312
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شناسه ملی سند علمی:
CBOEC02_035
تاریخ نمایه سازی: 16 مهر 1392
چکیده مقاله:
Distributed generations (DGs) play an important role in distributionnetworks. Among many of their merits, loss and THD reduction and voltageprofile improvement can be the salient specifications of DG. Studies show thatnon-optimal locations and non-optimal sizes of DG units may lead to lossesincrease, together with bad effect on voltage profile and harmonics. So, thispaper aims at determining optimal DG allocation and sizing. To do so, theheuristic optimization technique named Particle Swarm Optimization (PSO) isused as the solving tool to minimize simultaneously the economic cost ofoverall system by changing sitting and varying sizes of DGs. In thisoptimization method, the investment cost of DGs and power losses areconsidered in order to being minimized. Firstly, a radial distribution power flow(PF) algorithm is executed to find the global optimal solution. Then, withrespect to voltage profile, THD and loss reduction and by using the sensitivityanalysis, PSO is used to calculate the objective function and to verify busvoltage limits. To include the presence of harmonics, PSO was integrated witha harmonic power flow algorithm (HPF). The proposed (PSO-HPF) basedapproach is tested on an IEEE 15-bus radial distribution system. Finally, thereturning of invest mental cost is calculated to show the economic justificationof DG placement. These scenarios yields efficiency in improvement of voltageprofile and reduction of THD and power losses; it also permits an increase inpower transfer capacity and maximum loading.
کلیدواژه ها:
Distributed generation ، power losses ، optimal placement ، Particle Swarm Optimization (PSO) ، Harmonics
نویسندگان
O Amanifar
South Turbine Company, Iranian South Oil Company,Ahvaz, Iran
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