Loading...
Please wait, while we are loading the content...
Similar Documents
Multiobjective Placement of Multiple Distributed Energy Resources in Distribution System Using Imperialist Competitive Algorithm (ica)
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ebrahimpourain, R. Kazemi, M. |
| Copyright Year | 2017 |
| Abstract | Distributed Energy Resources (DERs) have been employed in the distributed systems to satisfy several objectives. This paper proposes a multi-objective approach to optimally determining the size and location of multiple DERs in the distribution system. In order to make the results more accurate and applicable DERs are considered with non-unity power factor. Loss reduction and reduction in power purchased from the electricity market, loss reduction in peak load hours and therefore reduction in upgrade investment deferral as well as improving voltage profile are considered as the objectives in this study. Considering these objectives in the optimization problem this paper presents a methodology that aims at the maximization of benefits from employment of DERs. The investment and operational costs of DERs are considered and the Imperialist Competitive Algorithm (ICA) is used to solve this complicated optimization problem. The effectiveness of the proposed method is demonstrated using IEEE 30-bus radial distribution test system and the results are discussed in detail. The obtained results are compared with those obtained by Particle Swarm Optimization (PSO) and Harmony Search Algorithm (HSA). The comparison illustrates that the proposed approach is capable of finding the best location and optimal size of multiple DERs that can effectively improve operational characteristic while reduce the operational costs in the distribution system. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.iotpe.com/IJTPE/IJTPE-2014/IJTPE-Issue18-Vol6-No1-Mar2014/13-IJTPE-Issue18-Vol6-No1-Mar2014-pp89-95.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |