Review of optimization techniques applied for the integration of distributed generation from renewable energy sources

Optimal integration and planning of renewable distributed generation in the power distribution networks: A review of analytical techniques

Optimal placement of different type of DG sources in distribution networks

A novel integration technique for optimal network reconfiguration and distributed generation placement in power distribution networks

To extract the maximum potential advantages in light of environmental, economical and technical aspects, the optimum installation and sizing of Distributed Generation (DG) in distribution network has always been challenging for utilities as well as customers. The installation of DG would be of maximum benefit where setting up of central power generating units are not practical, or in remote and small areas where the installation of transmission lines or availability of unused land is out of question. The objective of optimal installation of DG in distribution system is to achieve proper operation of distribution networks with minimization of the system losses, improvement of the voltage profile, enhanced system reliability, stability and loadability etc. In this respect analytical (classical) methods, although well-matched for small systems, perform adversely for large and complex objective functions. Unlike the analytical (classical) methods, the intelligent techniques for optimal sizing and siting of DGs are speedy, possess good convergence characteristics, and are well suited for large and complex systems. However, to find a global optimal solution of complex multi-objective problems, a hybrid of two or more meta-heuristic optimization techniques give more effective and reliable solution. This paper presents the fundamentals of DG and DG technologies review the classical and heuristic approaches for optimal sizing and placement of DG units in distribution networks and study their impacts on utilities and customers. An attempt has also been made to compare the analytical (classical) and meta-heuristic techniques for optimal sizing and siting of DG in distribution networks. The present study can contribute meaningful knowledge and assist as a reference for investigators and utility engineers on issues to be considered for optimal sizing and siting of DG units in distribution systems.

Optimal sizing and siting techniques for distributed generation in distribution systems: A review

Hybrid approach for optimal placement of multiple DGs of multiple types in distribution networks

This paper proposes the application of Particle Swarm Optimization (PSO) technique to find the optimal size and optimum location for the placement of DG in the radial distribution networks for active power compensation by reduction in real power losses and enhancement in voltage profile. In the first segment, the optimal size of DG is calculated at each bus using the exact loss formula and in the second segment the optimal location of DG is found by using the loss sensitivity factor. The analytical expression is based on exact loss formula. The optimal size of DG is calculated at each bus using the exact loss formula and the optimal location of DG is found by using the loss sensitivity factor. The proposed technique is tested on standard 33-bus test system and the obtained results are compared with the exhaustive load flows.

https://www.ajol.info/index.php/ijest/article/download/68421/56502

Optimal placement of distributed generation in distribution networks

This paper presents an optimisation method to determine optimal allocations of distributed generation (DGs) and capacitors based on maximisation of a profit/worth analysis approach. The optimal loc...

Cost–benefit analysis for optimal distributed generation placement in distribution systems

Proper allocation of wind turbine DG unit is essential, as inappropriate allocation of the DG unit may adverse the system performance. The wind turbine DG supplies real power and in turn absorbs the reactive power. This paper proposes the application of Particle Swarm Optimization (PSO) technique to find the optimal placement of wind turbine DG in the primary distribution system to reduce the real power losses and improvement in voltage profile. The results are verified with analytical approach which uses analytical expressions of wind turbine characteristics for proper deployment of the DG unit and the effects on system performance are investigated. In the first segment, the optimal size of wind-based DG is calculated at each bus using the exact loss formula and in the second segment the optimal location of DG is found by using the least loss method. The proposed technique is tested on standard 33-bus and 69-bus test systems. (6 pages)

Satish Kansal

Papers

Optimal placement of different type of DG sources in distribution networks

Hybrid approach for optimal placement of multiple DGs of multiple types in distribution networks

Optimal placement of distributed generation in distribution networks

Cost–benefit analysis for optimal distributed generation placement in distribution systems

Optimal placement of wind-based generation in distribution networks