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Smart city article details
| Title | Optimal Placement Of Distributed Energy Generators Using Multiobjective Harmony Search Algorithm For Loss Reduction In Microgrid For Smart Cities |
|---|---|
| ID_Doc | 40460 |
| Authors | Jangid J.K.; Sharma A.K.; Goyal R.; Sharma A.; Mahela O.P.; Khan B. |
| Year | 2024 |
| Published | Emerging Electrical and Computer Technologies for Smart Cities: Modelling, Solution Techniques and Applications |
| DOI | http://dx.doi.org/10.1201/9781003486930-17 |
| Abstract | Recently, researchers have been investigating different methods based on basic and advanced distributed generator (DG) placement and determination of microgrids for smart cities. In this chapter, we investigate the use of a multiobjective harmony search algorithm (MOHSA) for optimizing DG sizes and locations to minimize losses of active and reactive power and voltage variations in smart city power distribution networks. This is achieved by optimizing three objective functions: total active power loss minimization function, total reactive power loss minimization function and total voltage deviation minimization function. We estimate the method’s performance in terms of the active power loss reduction indictor (PLRI), reactive power loss reduction indictor (QLRI) and voltage deviation reduction indictor (VDRI). We evaluate overall effectiveness in terms of returns on investments in DG units. We consider networks with no DG unit and with one, two, three, four and five DG plants. We find that the performance of MOHSA is superior to that of the genetic algorithm findings available in the literature. We conduct this study on a microgrid designed with a IEEE-33 bus test network using MATLAB software. © 2024 selection and editorial matter, Om Prakash Mahela, Baseem Khan and Puneet Kumar Jain. individual chapters, the contributors. |
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