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

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.

[1]  Ragab A. El-Sehiemy,et al.  Optimal Generation Costs Considering Modified Sensitivity Factors and Modified Particle Swarm Optimization Version , 2008 .

[2]  Peng Li,et al.  Optimal configuration of soft open point for active distribution network based on mixed-integer second-order cone programming , 2016 .

[3]  Mohammad Reza Aghamohammadi,et al.  Restoring desired voltage security margin based on demand response using load-to-source impedance ratio index and PSO , 2018 .

[4]  Noradin Ghadimi,et al.  Optimal Placement of Distributed Generations in Radial Distribution Systems Using Various PSO and DE Algorithms , 2013 .

[5]  Fabio Bignucolo,et al.  Losses management strategies in active distribution networks: A review , 2018, Electric Power Systems Research.

[6]  R. A. El-Sehiemy,et al.  Adaptive Multi Objective Parallel Seeker Optimization Algorithm for Incorporating TCSC Devices into Optimal Power Flow Framework , 2019, IEEE Access.

[7]  Jianzhong Wu,et al.  Optimal Operation of Soft Open Points in Active Distribution Networks Under Three-Phase Unbalanced Conditions , 2019, IEEE Transactions on Smart Grid.

[8]  Kwang Y. Lee,et al.  Optimal Day-Ahead Operation Considering Power Quality for Active Distribution Networks , 2017, IEEE Transactions on Automation Science and Engineering.

[9]  Mohammad Shahidehpour,et al.  Multi-stage planning of active distribution networks considering the co-optimization of operation strategies , 2018, 2017 IEEE Power & Energy Society General Meeting.

[10]  A. Rezaee Jordehi,et al.  Particle swarm optimisation (PSO) for allocation of FACTS devices in electric transmission systems: A review , 2015 .

[11]  Jianzhong Wu,et al.  Benefits analysis of Soft Open Points for electrical distribution network operation , 2016 .

[12]  He Meng,et al.  Distributed voltage control for active distribution networks based on distribution phasor measurement units , 2018, Applied Energy.

[13]  A.S.N. Huda,et al.  Large-scale integration of distributed generation into distribution networks: Study objectives, review of models and computational tools , 2017 .

[14]  Jianzhong Wu,et al.  Robust Operation of Soft Open Points in Active Distribution Networks With High Penetration of Photovoltaic Integration , 2019, IEEE Transactions on Sustainable Energy.

[15]  Mahmoud Pesaran H.A,et al.  A review of the optimal allocation of distributed generation: Objectives, constraints, methods, and algorithms , 2017 .

[16]  Ming Yang,et al.  Dynamic reconfiguration of three-phase unbalanced distribution networks , 2018, International Journal of Electrical Power & Energy Systems.

[17]  Tao Jiang,et al.  Flexible operation of active distribution network using integrated smart buildings with heating, ventilation and air-conditioning systems , 2018, Applied Energy.

[18]  Dan Wang,et al.  Distributed generation planning in active distribution network considering demand side management and network reconfiguration , 2018, Applied Energy.

[19]  Qi Qi,et al.  Increasing Distributed Generation Penetration Using Network Reconfiguration and Soft Open Points , 2017 .

[20]  Swapan Kumar Goswami,et al.  Effect of network reconfiguration on power quality of distribution system , 2016 .

[21]  Zhao Yang Dong,et al.  Voltage regulation-oriented co-planning of distributed generation and battery storage in active distribution networks , 2019, International Journal of Electrical Power & Energy Systems.

[22]  Ragab A. El-Sehiemy,et al.  Multi-phase search optimisation algorithm for constrained optimal power flow problem , 2014, Int. J. Bio Inspired Comput..

[23]  Timothy C. Green,et al.  Increasing distributed generation penetration using soft normally-open points , 2010, IEEE PES General Meeting.

[24]  Milana Plecas,et al.  Integration of energy storage to improve utilisation of distribution networks with active network management schemes , 2017 .

[25]  Shi You,et al.  Value Assessment of Distribution Network Reconfiguration: A Danish Case Study , 2016 .

[26]  Xue Li,et al.  Distributed energy storage planning in soft open point based active distribution networks incorporating network reconfiguration and DG reactive power capability , 2018 .

[27]  Yonghua Song,et al.  Model Predictive Control of LPC-Looped Active Distribution Network With High Penetration of Distributed Generation , 2017, IEEE Transactions on Sustainable Energy.

[28]  N. Rajasekar,et al.  Power system reconfiguration in a radial distribution network for reducing losses and to improve voltage profile using modified plant growth simulation algorithm with Distributed Generation (DG) , 2015 .

[29]  Nikos D. Hatziargyriou,et al.  Online Reconfiguration of Active Distribution Networks for Maximum Integration of Distributed Generation , 2017, IEEE Transactions on Automation Science and Engineering.

[30]  Peng Li,et al.  SOP-based islanding partition method of active distribution networks considering the characteristics of DG, energy storage system and load , 2018, Energy.

[31]  Bin Xu,et al.  A Distributed Voltage Control Strategy for Multi-Microgrid Active Distribution Networks Considering Economy and Response Speed , 2018, IEEE Access.

[32]  Raed A. Abd-Alhameed,et al.  Optimal operation of distribution networks with high penetration of wind and solar power within a joint active and reactive distribution market environment , 2018, Applied Energy.

[33]  Jianzhong Wu,et al.  Operating principle of Soft Open Points for electrical distribution network operation , 2016 .

[34]  Ragab A. El-Sehiemy,et al.  Static transmission expansion planning for realistic networks in Egypt , 2017 .

[35]  Peng Li,et al.  Optimal siting and sizing of soft open points in active electrical distribution networks , 2017 .

[36]  C. H. Lee,et al.  A review of applications of genetic algorithms in operations management , 2018, Eng. Appl. Artif. Intell..

[37]  Jianzhong Wu,et al.  Optimal Operation of Multi-Terminal Soft Open Point to Increase Hosting Capacity of Distributed Generation in Medium Voltage Networks , 2018, 2018 53rd International Universities Power Engineering Conference (UPEC).

[38]  Mohammad Shahidehpour,et al.  Multi-Stage Planning of Active Distribution Networks Considering the Co-Optimization of Operation Strategies , 2017, IEEE Transactions on Smart Grid.

[39]  Arif I. Sarwat,et al.  Future Challenges and Mitigation Methods for High Photovoltaic Penetration: A Survey , 2018, Energies.

[40]  Adel A. Abou El‐Ela,et al.  Minimisation of voltage fluctuation resulted from renewable energy sources uncertainty in distribution systems , 2019, IET Generation, Transmission & Distribution.