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| Content Provider | IET Digital Library |
|---|---|
| Author | Sannigrahi, Surajit Ghatak, Sriparna Roy Acharjee, Parimal |
| Abstract | The enormous load growth in recent times has forced distribution companies to undertake comprehensive planning of the active distribution system (ADS) to maintain superior service to their consumers. Under different critical situations in the restructured power system, reconfiguration in combination with the incorporation of renewable energy sources (RESs) and distributed static compensator (DSTATCOM) must be utilised for accurate system planning. In addition, from a practical viewpoint, the time-variant load demand of different consumers and the intermittency of RES units must be considered. This study proposes a modified multi-objective particle swarm optimisation (m-MOPSO) technique for ADS planning considering reconfiguration, RES, and DSTATCOM to enhance voltage stability, reduce pollution, improve reliability, and maximise financial benefits. In the proposed m-MOPSO, a novel non-dominant sorting strategy is used to maintain diversity among the non-dominated solutions. The time-varying system load, yearly load growth, and intermittent power generation of RES are considered to construct a realistic planning model. The proposed technique is tested on the 33-bus ADS considering different planning schemes to provide the most suitable planning scheme to the ADS planners. Moreover, the accuracy of the proposed algorithm is confirmed by comparing it with other multi-objective algorithms. |
| Starting Page | 2418 |
| Ending Page | 2429 |
| Page Count | 12 |
| ISSN | 17521416 |
| Volume Number | 13 |
| e-ISSN | 17521424 |
| Issue Number | Issue 13, Oct (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-rpg/13/13 |
| Journal | IET Renewable Power Generation |
| Publisher Date | 2019-07-03 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | 33-bus ADS Accurate System Planning Comprehensive Planning Different Consumers Different Critical Situations Different Planning Scheme Distributed Power Generation Distribution Companies Distribution Network DSTATCOM Enormous Load Growth Genetic Algorithm Intermittent Power Generation Intermittent RES Multiobjective Algorithm Multiobjective Optimisation-based Active Distribution System Planning Multiobjective Particle Swarm Optimisation Technique Novel Nondominant Sorting Strategy Optimisation Technique Pareto Optimisation Particle Swarm Optimisation Power Distribution Economics Power Distribution Planning Power System Economics Power System Managemen Power System Operation Power System Planning And Layout Realistic Planning Model Recent Times Reconfiguration Reliability Renewable Energy Source RES Units Restructured Power System Static VAr Compensators Suitable Planning Scheme Time-variant Load Demand Time-varying System Load Yearly Load Growth |
| Content Type | Text |
| Resource Type | Article |
| Subject | Renewable Energy, Sustainability and the Environment |
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