Optimal distributed generation and reactive power allocation in electrical distribution systems

Abstract

Optimal and simultaneous siting and sizing of distributed generators and capacitor banks in distribution systems have attracted a lot of attention from distribution companies. The placement and capacity of these devices have direct effects on the system's performance. This paper presents a model for the simultaneous allocation of capacitor banks and distributed generation, which takes into account the stochastic nature of distributed generation. To solve the model presented, we propose an efficient hybrid method based on Tabu search and genetic algorithms. The hybrid method is applied to a well-known system in literature. Index Terms-Capacitor bank (CB), distributed generation (DG), uncertainty, Tabu search (TB), Chu-Beasley genetic algorithm (CBGA). NOTATION Sets nb, nbc, nbg Sets of system buses, candidate buses for CB installation, and candidate buses for DG installation. nlo Set of load levels. nl Set of system lines. CB f , CB s Set of fixed and switched CBs available to be installed. DG Set of DG units available to be installed.

Unit commitment in achieving low carbon smart grid environment with virtual power plant

“…With respect to SG technologies, existing studies confirmed the feasibility and significance of DG in managing the balance between supply and demand [4]- [6]. Besides, the SG supports the bidirectional communication between consumers and grids via smart metering systems.…”

Distributed generation hybrid AC/DC microgrid protection: A critical review on issues, strategies, and future directions

“…Microgrids are the solutions to incorporate several types of distributed Renewable Energy Sources (RESs), energy storage devices, Electric Vehicle (EV) charging stations, and different types of dynamic and nonlinear load, with the utility grid . The design and deployment of the conventional approach of a microgrid are usually done with the help of the Alternating Current (AC) system . The Direct Current (DC) microgrids are gaining attraction in real‐time implementation due to various advantages over AC microgrid like lack of need for synchronization, high power transfer capability, frequency regulation, and support with less interfacing power electronics equipment of DC loads and Distributed Energy Resources (DERs) .…”

“…2 The design and deployment of the conventional approach of a microgrid are usually done with the help of the Alternating Current (AC) system. 3 The Direct Current (DC) microgrids are gaining attraction in real-time implementation due to various advantages over AC microgrid like lack of need for synchronization, high power transfer capability, frequency regulation, and support with less interfacing power electronics equipment of DC loads and Distributed Energy Resources (DERs). 4 Considering the presence of both AC and DC DERs and loads in a microgrid, hybrid AC/DC microgrid is well capable to provide reliable and economical solutions that can probably eradicate the multistage AC-to-DC or DCto-AC reverse conversions.…”

Distributionally Robust Distribution Network Configuration Under Random Contingency

“…Existing mathematical models of distribution network configuration involve various design variables that usually include the location [12] and size [13] of equipments like substations and feeders. As the penetration of distributed generation (DG) resources grows, the location and sizing of the DG units has also received increasing attention in the literature (see, e.g., [14], [15], [16], [17]). The network topology is another important design variable (see, e.g., [18], [19], [20], [21]).…”