Multi-objective optimization of active and reactive power for peak shaving and improving distribution system performance
محورهای موضوعی : انرژیهای تجدید پذیر و شبکه های هوشمند
حمیدرضا مقیمی نژاد
1
,
Mahdiyeh Eslami
2
,
mehdi jafari
3
1 - دانشجوی دکتری مهندسی برق قدرت
2 - Department of electronic Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran
3 - Department of electronic Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran
کلید واژه: Distributed Generation (DG), capacitors banks, active and reactive power management, imperialist competitive algorithm.,
چکیده مقاله :
The distribution system provides the relationship between the customer and transmission network. Research shows that in a three-part of power system including, generation, transmission and distribution, the highest percentage of losses is related to the distribution system. Recorded data also show that most interruptions in power provision to the customers is due to the cause of the malfunction in the distribution network. On the other hand, with the advent of smart grids in recent years the role of Distributed Generation (DG) in the electricity industry has been growing. There are a lot of control tools for active and reactive power management is network that with the right strategy can be utilized for costs reduction and improve in the power quality. The controllable variables in this study are power production of DGs, the amount of reactive power provided by capacitors and the distribution substation transformers tap, by which active and reactive power management in smart distribution network is performed. Due to the complexity associated with the distribution network and high number of optimization variables (capacitor steps in each capacitor bank, power production of DGs) in the thesis imperialist competitive algorithm is employed that using the control variables determine an appropriate control strategy during a day to minimize costs, losses while all network constraints such as the grid voltage are within a reasonable range. The proposed method is carried out on 69-bus standard distribution test system and the obtained results show that by optimal control of the controllable variables the desired goals could be achieved. The results also demonstrate the ability of the proposed method is finding the optimal solution.
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