Optimal Allocation and Operating Point of DG Units in Radial Distribution Network Considering Load Pattern

Abstract Distributed generation (DG) is a new approach for solving some problems of older power networks. Due to the increasing power demand in recent power systems, the importance of power loss reduction and maintaining system voltages within an acceptable range has given rise to the wide use of DG units in power systems. On the other hand, unplanned and non-optimal application such as installation and operation of DG units might cause other technical problems. In addition, it is important to consider the load pattern in the network, and the best decision for DG unit's operation must be chosen accordingly. In this paper, a method is introduced in order to make the optimal placement and find an optimal operating point for the DG units, which means the power output of DG units, considering the load pattern of the network. This load pattern has an average load of 24 hr a day, four seasons a year. In the proposed method, optimization has two goals: first, is optimizing the DG unit's placement based on improvement of the voltage profile, and the second is operating DG units with optimum power factor, minimizing power loss, and improving voltage profile, with regard to the load pattern. In order to solve this problem, the gravitational search algorithm and genetic algorithm are used. The proposed method is applied on the IEEE 33-bus test system, and the result shows the effectiveness of the proposed method. In order to solve the optimization problem, MATLAB software is used.

[1]  Majid Gandomkar,et al.  A straightforward approach to minimizing unsupplied energy and power loss through DG placement and evaluating power quality in relation to load variations over time , 2011 .

[2]  O. Amanifar,et al.  Optimal distributed generation placement and sizing for loss and THD reduction and voltage profile improvement in distribution systems using Particle Swarm Optimization and sensitivity analysis , 2011, 16th Electrical Power Distribution Conference.

[3]  Hossein Nezamabadi-pour,et al.  GSA: A Gravitational Search Algorithm , 2009, Inf. Sci..

[4]  Ehab F. El-Saadany,et al.  Optimal DG Allocation in Radial Distribution Systems with High Penetration of Non-linear Loads , 2015 .

[5]  Seyed Abbas Taher,et al.  Optimal location and sizing of DSTATCOM in distribution systems by immune algorithm , 2014 .

[6]  Tuba Gozel,et al.  An analytical method for the sizing and siting of distributed generators in radial systems , 2009 .

[7]  Meysam Doostizadeh,et al.  Transmission congestion management through optimal distributed generation's sizing and placement , 2011, 2011 10th International Conference on Environment and Electrical Engineering.

[8]  Nadarajah Mithulananthan,et al.  AN ANALYTICAL APPROACH FOR DG ALLOCATION IN PRIMARY DISTRIBUTION NETWORK , 2006 .

[9]  Mahmoud-Reza Haghifam,et al.  DG allocation with application of dynamic programming for loss reduction and reliability improvement , 2011 .

[10]  Nadarajah Mithulananthan,et al.  Analytical Expressions for DG Allocation in Primary Distribution Networks , 2010, IEEE Transactions on Energy Conversion.

[11]  Sakti Prasad Ghoshal,et al.  Optimal Allocation of Distributed Generation and Shunt Capacitors for the Reduction of Total Voltage Deviation and Total Line Loss in Radial Distribution Systems Using Binary Collective Animal Behavior Optimization Algorithm , 2015 .

[12]  Pierluigi Siano,et al.  Assessing the strategic benefits of distributed generation ownership for DNOs , 2009 .

[13]  Bernard F. Schutz.  Gravity from the Ground Up: An Introductory Guide to Gravity and General Relativity , 2003 .

[14]  Mohammad Yusri Hassan,et al.  Multi-distributed generation planning using hybrid particle swarm optimisation- gravitational search algorithm including voltage rise issue , 2013 .

[15]  G. B. Gharehpetian,et al.  Small signal stability assessment of islanded VSI-based microgrids considering load variations , 2014, 2014 IEEE Conference on Energy Conversion (CENCON).

[16]  Sakti Prasad Ghoshal,et al.  Optimal sizing and placement of distributed generation in a network system , 2010 .

[17]  Zahra Moravej,et al.  A novel approach based on cuckoo search for DG allocation in distribution network , 2013 .

[18]  Pablo Frías Marín,et al.  Towards a future with large penetration of distributed generation: Is the current regulation of electricity distribution ready? Regulatory recommendations under a European perspective , 2009 .

[19]  Faten H. Fahmy,et al.  Genetic single objective optimisation for sizing and allocation of renewable DG systems , 2017 .

[20]  Caisheng Wang,et al.  Analytical approaches for optimal placement of distributed generation sources in power systems , 2004, IEEE Transactions on Power Systems.

[21]  Benjamin Kroposki,et al.  Optimum Sizing and Placement of Distributed and Renewable Energy Sources in Electric Power Distribution Systems , 2009, IEEE Transactions on Industry Applications.

[22]  Seyed Hossein Hosseinian,et al.  Stochastic load effect on home energy system scheduling optimization , 2015 .

[23]  Saleh Gareh,et al.  Voltage stability assessment for distributed generation in islanded microgrid system , 2014 .