Reliability evaluation of distribution systems with renewable distributed generation and load variation models

2009 ◽  
Author(s):  
W.S. Andrade ◽  
C.L.T. Borges ◽  
D.M. Falcao
Keyword(s):  
Distributed Generation ◽  
Distribution Systems ◽  
Reliability Evaluation ◽  
Load Variation ◽  
Renewable Distributed Generation

scholarly journals Evaluating Demand Response Impacts on Capacity Credit of Renewable Distributed Generation in Smart Distribution Systems

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 14307-14317 ◽  
Author(s):  
Jiahuan Feng ◽  
Bo Zeng ◽  
Dongbo Zhao ◽  
Geng Wu ◽  
Zongqi Liu ◽  
...  
Keyword(s):  
Distributed Generation ◽  
Demand Response ◽  
Distribution Systems ◽  
Renewable Distributed Generation

scholarly journals Optimal Sizing of Photovoltaic Generation in Radial Distribution Systems Using Lagrange Multipliers

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1728 ◽  
Author(s):  
José Adriano da Costa ◽  
David Alves Castelo Branco ◽  
Max Chianca Pimentel Filho ◽  
Manoel Firmino de Medeiros Júnior ◽  
Neilton Fidelis da Silva
Keyword(s):  
Distributed Generation ◽  
Radial Distribution ◽  
Lagrange Multipliers ◽  
Analytical Method ◽  
Distribution Systems ◽  
Jacobi Method ◽  
Energy Losses ◽  
Photovoltaic Generation ◽  
Optimal Sizing ◽  
Renewable Distributed Generation

The integration of renewable distributed generation into distribution systems has been studied comprehensively, due to the potential benefits, such as the reduction of energy losses and mitigation of the environmental impacts resulting from power generation. The problem of minimizing energy losses in distribution systems and the methods used for optimal integration of the renewable distributed generation have been the subject of recent studies. The present study proposes an analytical method which addresses the problem of sizing the nominal power of photovoltaic generation, connected to the nodes of a radial distribution feeder. The goal of this method is to minimize the total energy losses during the daily insolation period, with an optimization constraint consisting in the energy flow in the slack bus, conditioned to the energetic independence of the feeder. The sizing is achieved from the photovoltaic generation capacity and load factors, calculated in time intervals defined in the typical production curve of a photovoltaic unit connected to the distribution system. The analytical method has its foundations on Lagrange multipliers and relies on the Gauss-Jacobi method to make the resulting equation system solution feasible. This optimization method was evaluated on the IEEE 37-bus test system, from which the scenarios of generation integration were considered. The obtained results display the optimal sizing as well as the energy losses related to additional power and the location of the photovoltaic generation in distributed generation integration scenarios.

A Review on Model of Integrating Renewable Distributed Generation into Bali’s Power Distribution Systems: Issues, Challenges, and Possible Solutions

2016 ◽  
Vol 4 (2) ◽  
pp. 245 ◽  
Author(s):  
Ngakan Putu Satriya Utama ◽  
Rukmi Sari Hartati ◽  
Wayan G. Ariastina ◽  
Ida Bagus A. Swamardika ◽  
Ontoseno Penangsang
Keyword(s):  
Distributed Generation ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Pso Algorithm ◽  
Voltage Profile ◽  
Hydro Power ◽  
Generation Planning ◽  
Renewable Distributed Generation ◽  
Distribution System Planning

Spurred by a global energy crisis, the use of renewable distributed generation (DG) with solar photovoltaic (PV) energy, micro-hydro power, and biomass power are gaining momentum and play major role in Bali’s distribution system as an alternative distribution system planning option. If distributed generation planning is optimal by selected optimization of multi-objective function under certain operating constraints and then their site and size are also selected optimally, the penetration of DGs is potentially beneficial. This paper would review techno-economic model objective, voltage profile improvement and power losses constraints as well as optimization based model using particle swarm optimization (PSO) algorithm application in Bali’s distributed generation planning.

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