Adequate Topology for Efficient Energy Resources Utilization of Active Distribution Networks Equipped With Soft Open Points

Abstract

Active distribution networks concerned with providing efficient control technologies for large-scale integration of distributed generation (DG) units into the distribution systems. This research proposes a methodology for distribution networks reconfiguration by controlling number, sharing, size, and location of DG units. Also, the soft-open points (SOPs) are added instead of the tie line switches. The SOPs are benefited with its high capability in controlling active/reactive power flow to enhance transmission system performance. The main target of this work is to increase the efficiency of energy utilization through minimizing the power system losses and improving system voltage profile while preserving all system constraints within permissible limits with reliable and flexible networks in normal and abnormal conditions with a suitable penetration level of DG. A modified particle swarm optimizer is developed to find the best system configuration, size, and placement of DG units as well as the size and allocation of SOPs. Research methodology is tested on two standards: the IEEE 33-node and 69-node distribution networks under different operating cases. This paper compares the obtained results with those in the literature to prove the capabilities of the proposed work. Finally, the suggested work pursues the optimal number of DG units with their appropriate penetration levels and selects the most convenient location of SOPs for adequate network reconfiguration. INDEX TERMS Efficiency of energy utilization, active distribution networks, distributed generation, soft-open points, modified particle swarm optimization.

Distributed Generation Planning in Active Distribution Networks Based on Multi-Scene Analysis

“…In the existing literature, the optimal allocation of DG in active distribution network involves consideration of energy storage configuration and reactive power compensation, active operation strategy, demand side management and network reconfiguration, and life cycle theory [15][16][17]. A novel selection strategy for restricted operation scenarios based on the shadow price is proposed to reduce the complexity of scenario selection and ease the computational burden substantially in virtue of the decoupling of ADN operation and planning [15].…”

“…networks reconfiguration by controlling number, sharing, size, and location of DG units is proposed [16]. A local voltage control strategy of DGs with reactive power optimization based on a kriging metamodel is proposed [17].…”

A Social Beetle Swarm Algorithm Based on Grey Target Decision-Making for a Multiobjective Distribution Network Reconfiguration Considering Partition of Time Intervals

“…When the individual is lower than the average value, the individual performance is not good. So, to strengthen the global search ability, it is necessary to increase the cognitive factor; otherwise, to accelerate the convergence speed, the cognitive factor is reduced [46].…”

An Adaptive Droop Control Strategy for Islanded Microgrid Based on Improved Particle Swarm Optimization

“…However, as a centralized control structure, the above methods not only increase the complexity of the system, but also place high requirement on the communication system. References [34]- [37] improved the inertia weights and learning factors in the particle swarm optimization algorithm and realized the dynamic adjustment of parameters, which improved the convergence performance and search speed of the algorithm. However, due to the diversification of parameters in the algorithm, the above improvements still have certain oneness.…”