An optimal load shedding approach for distribution networks with DGs considering capacity deficiency modelling of bulked power supply

By A. Malekpour, A. Seifi, M. Hesamzadeh, Nasser Hosseinzadeh. Australasian Universities Power Engineering Conference, 2008

58 citations recorded by the source corpus.

This paper discusses a genetic algorithm (GA) based optimal load shedding that can apply for electrical distribution networks with and without dispersed generators (DG). Also, the proposed method has the ability for considering constant and variable capacity deficiency caused by unscheduled outages in the bulked generation and transmission system of bulked power supply. The genetic algorithm (GA) is employed to search for the optimal load shedding strategy in distribution networks considering DGs in two cases of constant and variable modelling of bulked power supply of distribution networks. Electrical power distribution systems have a radial network and unidirectional power flows. With the advent of dispersed generations, the electrical distribution system has a locally looped network and bidirectional power flows. Therefore, installed DG in the electrical distribution systems can cause operational problems and impact on existing operational schemes. Introduction of DGs in electrical distribution systems has introduced many new issues in operational and planning level. Load shedding as one of operational issue has no exempt. The objective is to minimize the sum of curtailed load and also system losses within the frame-work of system operational and security constraints. The proposed method is tested on a radial distribution system with 33 load points for more practical applications.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/18d28913daa405bffe04ae2d4e1ce6ac50b0ee0d

How researchers see this paper

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In Control and Systems Engineering

1. Qiuwei Wu
2. Shaojun Huang
3. Shmuel S. Oren

In Electrical and Electronic Engineering

1. Qiuwei Wu
2. Shaojun Huang
3. Ruoyang Li
4. Shmuel S. Oren
5. D. Finon
6. Virginie Pignon

Citations in the corpus

• Distribution Locational Marginal Pricing Through Quadratic Programming for Congestion Management in Distribution Networks (2015, background): “Compared to direct control methods for congestion management [8], [9], market-based methods can maximize social welfare, cause least discomfort to customers and encourage more participation in the energy planning.”
• Control for Grid-Connected and Intentional Islanding Operations of Distributed Power Generation (2011, unknown): “The power difference makes the voltage and frequency drift away from the nominal values [34].”