Decision tree aided planning and energy balancing of planned community microgrids

Planned Communities (PCs) present a unique opportunity for deployment of intelligent control of demand-side distributed energy resources (DER) and storage, which may be organized in Microgrids (MGs). MGs require balancing for maintaining safe and resilient operation. This paper discusses the implications of using MG concepts for planning and control of energy systems within PCs. A novel tool is presented, based on decision trees (DTs), with two potential applications: (i) planning of energy storage systems within such MGs and (ii) controlling energy resources for energy balancing within a PC MG. The energy storage planning and energy balancing methodology is validated through sensitivity case studies, demonstrating its effectiveness. A test implementation is presented, utilizing distributed controller hardware to execute the energy balancing algorithm in real-time

Power quality improvement in distribution systems considering Optimum D-STATCOM placement

This paper presents an improved method in solving the optimization problem related to the optimum placement and sizing of the Distribution Static Synchronous Compensator (D-STATCOM) in distribution systems, which use the firefly algorithm (FA) for power quality improvement. In the proposed method, the voltage total harmonic distortion, voltage deviation, and total investment cost indices are considered as the problem sub-objective functions. The voltage and power limits for individual buses are considered as the constraints to control optimization variables. The proposed FA is implemented using the Matlab software on modified IEEE 16- and 34-bus test systems. The obtained results are compared with the particle swarm optimization and the genetic algorithm. The simulation and comparison results verify the ability of the FA to accurately determine the optimal location and size of the D-STATCOM in radial distribution systems

POWER QUALITY IMPROVEMENT USING ACTIVE CONDITIONING DEVICES IN A PREMIUM POWER PARK

ABSTRACT In this paper, an enhanced premium power quality (PPP) configuration based on a spot configuration is proposed to effectively mitigate power quality disturbances using combined active power and voltage conditioning devices. A new coordination algorithm is also proposed to achieve full-range coordination between the active conditioning devices, to ensure maximum reliability of the PPP configuration