Risk-based modelling of simultaneous reconfiguration of power distribution networks and allocation of distributed generations

ABSTRACT

In this paper, stochastic modelling for optimally siting and sizing of distributed generations (DGs) and network reconfiguration are done simultaneously. Uncertainties of load forecasting and market price are well incorporated into the problem. The main goal of distribution company is to provide high reliability power with the lowest possible costs. So the proposed cost function includes DG units’ installation and operation cost, cost of purchased energy from transmission network, active and reactive power losses cost, reconfiguration cost and line upgrade cost. Besides, risk-based modelling of energy not supplied as an efficient reliability index is incorporated into the cost function in order to improve network reliability. Voltage limitation and thermal limit of feeders are implemented by fuzzy set theory. The Teaching–learning-based optimisation algorithm is used as a powerful tool in order to solve the problem. To validate the effectiveness of the suggested method, simulations are taken and the results are compared with respect to the initial configuration.

KEYWORDS:

• Reconfiguration
• distributed generation
• electric distribution system
• uncertainty
• stochastic programming
• teaching–learning-based optimisation algorithm
• risk modelling

Disclosure statement

No potential conflict of interest was reported by the authors.