Open AccessHeuristic probabilistic power flow algorithm for microgrids operation and planning
Author(s) -
Nikmehr Nima,
Najafi Ravadanegh Sajad
Publication year - 2015
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2014.0570
Subject(s) - mathematical optimization , heuristic , probabilistic logic , imperialist competitive algorithm , computer science , algorithm , random variable , cumulative distribution function , renewable energy , monte carlo method , power (physics) , voltage , wind power , probability density function , engineering , optimization problem , mathematics , statistics , electrical engineering , artificial intelligence , physics , quantum mechanics , multi swarm optimization
One of the basic components of future distribution networks is renewable energy resources (RER). The uncertainty in power production of renewable resources such as wind and solar as well as load is another characteristic of such networks. Conventional power flow methods may not be suitable for active distribution networks such as microgrids. In this study, a heuristic load flow method considering the effects of intermittent behaviour of RERs and load is modelled in probabilistic load flow (PLF) algorithm. The method is suitable for both radial and weakly meshed distribution networks with RER for operation and planning of microgrids. Imperialist competitive algorithm (ICA) as heuristic‐based optimisation algorithm is applied to solve the PLF. Based on PLF technique, calculated parameters of the system such as bus voltages and feeders’ current are extracted as random variables. A modified version of IEEE 33‐bus test system with RER is used to evaluate efficiency and capability of the algorithm. Results are compared with Monte Carlo simulation method. The probability density function and cumulative distribution function (CDF) of some network variable are compared. Based on the results, the presented approach can solve the PLF problem regardless of the type of distribution network.