Capacity Of Distributed Generation Units Research Articles

Placement of Fixed Size Diesel Generators in IEEE 12 Bus Radial Distribution System to Improve Voltage Stability

Distributed Generation (DG) is small capacity generating units directly associated to the distributed system. With the penetration of distributed generators nearby the consumer load center support to the distribution system will be enhanced. The Distributed Generation involves both Renewable & sustainable sources of energy to engender power in order to appease the ever increasing energy requirement. Suitable location and capacity of DG units will benefit the achievement of active power system network. The voltage profile and Real power line loss and Reactive power line loss reduction can also be improved with suitable location and allocation of DG. This work proposes a new Simulation method for the placement of fixed Size Diesel Generator in IEEE 12 bus radial distribution system stationed on Voltage stability index and Transmission line losses. This index is progressed by acknowledging steady state node voltages cited in Per Unit.

An optimal autonomous microgrid cluster based on distributed generation droop parameter optimization and renewable energy sources using an improved grey wolf optimizer

ABSTRACTMicrogrid (MG) clustering is regarded as an important driver in improving the robustness of MGs. However, little research has been conducted on providing appropriate MG clustering. This article addresses this shortfall. It proposes a novel multi-objective optimization approach for finding optimal clustering of autonomous MGs by focusing on variables such as distributed generation (DG) droop parameters, the location and capacity of DG units, renewable energy sources, capacitors and powerline transmission. Power losses are minimized and voltage stability is improved while virtual cut-set lines with minimum power transmission for clustering MGs are obtained. A novel chaotic grey wolf optimizer (CGWO) algorithm is applied to solve the proposed multi-objective problem. The performance of the approach is evaluated by utilizing a 69-bus MG in several scenarios.

Optimal active and reactive nodal power requirements towards loss minimization under reverse power flow constraint defining DG type

Abstract In this paper a novel approach regarding the optimal penetration of Distributed Generation (DG) in Distribution Networks (DNs) towards loss minimization is proposed. More specific, a Local Particle Swarm Optimization (PSO) variant algorithm is developed in order to define the optimal active and reactive power generation and/or consumption requirements for the optimal number and location of nodes that yield loss minimization. Thus, the proposed approach provides the optimal number, siting and sizing of DGs altogether. In addition, based on the optimal power requirements of the resulted nodes, a combination of potential DG types to be installed is recommended. The proposed objective function in this paper is also innovative since it embeds the constraint of reverse power flow to the slack bus by the formation of a new penalty term. The proposed methodology is applied to 30 and 33 bus systems. The results indicate the optimal number, locations, and capacity of DG units, which were calculated simultaneously. Finally, the impact of the predefined amount of permissible reverse power flow to the optimal solution is also examined through two scenarios: the first considers zero reverse power flow and the second unlimited reverse power flow.