Annual energy loss reduction of distribution network through reconfiguration and renewable energy sources

Abstract

Summary Renewable energy sources are becoming popular day by day for distributed generation as technology is becoming cheaper and modular. Power loss reduction is a powerful incentive for a distribution system operator to promote distributed generation. This paper presents a method to minimize annual energy losses through the integration of nondispatchable renewable distributed generation (DG) units and network reconfiguration under varying load demand condition. The optimal location and DG power level are calculated, and then these data are used to determine DG plant size taking into account the nonavailability of renewable energy at certain times. A network reconfiguration strategy is proposed, which takes into account both the time‐varying load and the renewable energy source such that annual energy loss is minimum. The proposed methodology is applied to 33‐node and 118‐node test distribution system with different scenarios. Results show a substantial reduction in energy loss. A cost‐benefit analysis is also carried out.

Solar powered Modified Coupled Inductor, Capacitor Multiplier boost converter operated three‐phase small power inverter

“…In India, nearly 65% of the total demand is supplied by fuel‐based power plants. The increases in air pollution, global warming gases, and cost of fuel‐based power plants have increased the concern over the development of renewable sources 1–5 . During the last few decades, there has been an enormous interest in the development of renewable energy source‐based power plants.…”

Evaluation of Linear-Load Modelling Effects on Distribution Network Reconfiguration in the Presence of Harmonic Loads

“…It has been shown that in distribution networks, reconfiguration can improve network power quality. The effect of harmonic loads on the network reconfiguration problem has been investigated in [7,23,24] concerning total losses, including fundamental and harmonic losses. In [7], three methods have been compared in terms of speed and convergence including discrete Particle Swarm Optimization (DPSO), Imperialist Competitive Algorithm (ICA) and Shuffled Frog Leaping Algorithm (SFLA).…”

Reconfiguration of distribution network using discrete particle swarm optimization to reduce voltage fluctuations

“…However, there is also an easier and applicable scheme due to the existence of tie switches (TSs) (normally opened) and sectionalizing switches (SSs) (normally closed) in DNs. DN reconfiguration (DNR) is a low‐cost efficient tool provided for the network operator to improve operational characteristics of the network by changing the network configuration 5 . The power quality (PQ) factors of a special group of costumers could be improved by just changing the state of TSs and SSs.…”