Analysis of Distribution System with D-STATCOM by Gravitational Search Algorithm (GSA)

In order to analyze the distribution system (DS) to minimize the power losses and improve power quality, finding accurate position size of distribution static compensator (D-STATCOM) is essential. In this paper, a metaheuristic optimization technique, the gravitational search algorithm (GSA) is proposed for the analysis of DS with accurate placing and sizing of distributed static synchronous compensator (D-STATCOM) for power loss reduction, minimum voltage profile index, improvement in voltage profile and annual energy saving for distribution network operator. The effectiveness of the proposed algorithm is tested on IEEE 33 and IEEE 69 bus systems, and performance of GSA has been compared with other techniques such as immune algorithm, bat algorithm and sensitivity approach method for optimal allocation of D-STATCOM. It is found that the best performance is achieved by the proposed method. Forward–backward sweep method is used for the load flow solutions in this paper.

[1]  Jovitha Jerome,et al.  A new Cumulative Gravitational Search algorithm for optimal placement of FACT device to minimize system loss in the deregulated electrical power environment , 2017 .

[2]  Parimal Acharjee,et al.  Comparative Performance Analysis of DG and DSTATCOM Using Improved PSO Based on Success Rate for Deregulated Environment , 2018, IEEE Systems Journal.

[3]  Seyed Abbas Taher,et al.  Optimal location and sizing of DSTATCOM in distribution systems by immune algorithm , 2014 .

[4]  Ashwani Kumar,et al.  Energy Savings Using D-STATCOM Placement in Radial Distribution System☆ , 2015 .

[5]  Ahmad Rezaee Jordehi,et al.  Optimal placement and sizing of distribution static compensator (D-STATCOM) in electric distribution networks: A review , 2017 .

[6]  Hossein Nezamabadi-pour,et al.  GSA: A Gravitational Search Algorithm , 2009, Inf. Sci..

[7]  D. Das,et al.  Method for load-flow solution of radial distribution networks , 1999 .

[8]  Sanjib Ganguly,et al.  Allocation of DSTATCOM and DG in distribution systems to reduce power loss using ESM algorithm , 2016, 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES).

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

[10]  M. Geethanjali,et al.  Optimal location and sizing determination of Distributed Generation and DSTATCOM using Particle Swarm Optimization algorithm , 2014 .

[11]  Mihai Gavrilas,et al.  Heuristic and metaheuristic optimization techniques with application to power systems , 2010 .

[12]  Fred W. Glover,et al.  Future paths for integer programming and links to artificial intelligence , 1986, Comput. Oper. Res..

[13]  Samuel T. Ariaratnam,et al.  Optimal Allocation of CHP-Based Distributed Generation on Urban Energy Distribution Networks , 2014, IEEE Transactions on Sustainable Energy.

[14]  G. D. Marques,et al.  An active power filter and unbalanced current compensator , 1997, IEEE Trans. Ind. Electron..

[15]  Ahmad Rezaee Jordehi,et al.  Allocation of distributed generation units in electric power systems: A review , 2016 .

[16]  J. Contreras,et al.  Bi-Level Approach to Distribution Network and Renewable Energy Expansion Planning Considering Demand Response , 2017, IEEE Transactions on Power Systems.

[17]  Sanjib Ganguly,et al.  Impact of distribution STATCOM allocation on radial distribution networks , 2015, 2015 International Conference on Energy, Power and Environment: Towards Sustainable Growth (ICEPE).

[18]  Ashwani Kumar,et al.  Reactive power deployment and cost benefit analysis in DNO operated distribution electricity markets with D-STATCOM , 2019 .

[19]  A. Rezaee Jordehi,et al.  Optimisation of electric distribution systems: A review , 2015 .

[20]  T. Yuvaraj,et al.  Optimal Allocation of DG and DSTATCOM in Radial Distribution System Using Cuckoo Search Optimization Algorithm , 2017 .

[21]  Ashwani Kumar,et al.  Optimal placement of D-STATCOM using sensitivity approaches in mesh distribution system with time variant load models under load growth , 2016, Ain Shams Engineering Journal.

[22]  T. Yuvaraj,et al.  DSTATCOM allocation in distribution networks considering load variations using bat algorithm , 2017 .

[23]  Ahmad Ashouri,et al.  Optimal Placement of D-STATCOMs into the Radial Distribution Networks in the Presence of Distributed Generations , 2016 .

[24]  Hussain Shareef,et al.  Optimum D-STATCOM placement using firefly algorithm for power quality enhancement , 2013, 2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO).

[25]  A. Rezaee Jordehi,et al.  Brainstorm optimisation algorithm (BSOA): An efficient algorithm for finding optimal location and setting of FACTS devices in electric power systems , 2015 .

[26]  Bhim Singh,et al.  Static synchronous compensators (STATCOM): a review , 2009 .