期刊
IET RENEWABLE POWER GENERATION
卷 12, 期 10, 页码 1101-1110出版社
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-rpg.2017.0528
关键词
solar power stations; wind power plants; distributed power generation; power generation dispatch; power capacitors; minimisation; power generation economics; power distribution economics; renewable DG; system load growth; distributed generation; solar DG determination; wind DG determination; sequential optimisation method; load demand; seasonal variation; wind variation; load demand profile collection; state load dispatch centre; shunt capacitor; voltage profile; multiobjective function; minimisation; 69-bus distribution network; annual energy loss reduction; Indian Institute of Technology Kharagpur
In this study, a methodology for determining the solar and wind DG (distributed generation) capacity is proposed by using sequential optimisation method considering a seasonal variation of load demand, seasonal solar, and wind variations. The load demand profile is collected from state load dispatch centre; whereas solar data are collected from Indian Institute of Technology Kharagpur and wind data are collected from a weather station. Along with the DGs, the shunt capacitors are also placed to improve the voltage profile and energy loss reduction with different scenarios. For this purpose, minimisation of a multi-objective function is considered. The proposed methodology is applied to a 69-bus distribution network. The results for different scenarios show the substantial reduction in the annual energy loss and improvement of voltage profile. The result also shows that maximum amount of profit is gained with both renewable DGs and shunt capacitors. The impact of load growth on the distribution network with and without renewable DGs and shunt capacitors are compared. The analysis reveals that with integrating the renewable DGs and shunt capacitors in the system, the distribution network can take load growth for few more years without violating the system constraints.
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