TY - EJOU
AU - Wu, Dan
AU - Che, Yanbo
AU - Li, Wei
AU - He, Wei
AU - Li, Dongyi
TI - Optimal Allocation of Comprehensive Resources for Large-Scale Access of Electric Kiln to the Distribution Network
T2 - Energy Engineering
PY - 2021
VL - 118
IS - 5
SN - 1546-0118
AB - With the significant progress of the “coal to electricity” project, the electric kiln equipment began to be connected
to the distribution network on a large scale, which caused power quality problems such as low voltage, high harmonic distortion rate, and high reactive power loss. This paper proposes a two-stage power grid comprehensive
resource optimization configuration model. A multi-objective optimization solution based on the joint simulation
platform of Matlab and OpenDSS is developed. The solution aims to control harmonics and optimize reactive
power. In the first stage, a multi-objective optimization model is established to minimize the active network
loss, voltage deviation, and equipment cost under the constraint conditions of voltage margin, power factor,
and reactive power compensation capacity. Furthermore, the first stage uses a particle swarm optimization
(PSO) algorithm to optimize the location and capacity of both series and parallel compensation devices in the
distribution network. In the second stage, the optimal configuration model of the active power filter assumes
the cost of the APF as the objective function and takes the harmonic voltage content rate, the total voltage distortion rate, and the allowable harmonic current as the constraint conditions. The proposed solution eliminates
the harmonics by uniformly configuring active filters in the distribution network and centrally control harmonics
at the system level. Finally, taking the IEEE33 distribution network as the object and considering the change of
electric furnace permeability in the range of 20%–50%, the simulation results show that the proposed algorithm
effectively reduces the distribution network’s loss, its harmonic content and significantly improve its voltage.
KW - Electric furnace; reactive compensation; filter optimization configuration; multi-objective optimization; particle swarm algorithm
DO - 10.32604/EE.2021.014818