Open AccessEnergy and operational management of virtual power plant using imperialist competitive algorithm
Author(s) -
Kasaei Mohammad Javad
Publication year - 2018
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/etep.2617
Subject(s) - imperialist competitive algorithm , virtual power plant , renewable energy , energy storage , computer science , distributed generation , competitive analysis , energy management , power (physics) , energy (signal processing) , reliability engineering , mathematical optimization , algorithm , engineering , distributed computing , optimization problem , electrical engineering , mathematics , mathematical analysis , physics , statistics , quantum mechanics , upper and lower bounds , multi swarm optimization
Summary This paper presents an efficient algorithm based on imperialist competitive algorithm for optimal energy management of a Virtual Power Plant (VPP) including different distributed generation units and energy storage devices. A collection of Distributed Energy Resources, energy storage devices, and controllable loads which are aggregated and then are managed by an Energy Management System and can operate as a single power plant is called VPP. The proposed approach employs imperialist competitive algorithm to minimize the total operating cost of the VPP, considering energy loss cost in a 24‐hour time interval through 3 different scenarios while satisfying various operating constraints. This method has the benefit of escaping from the local optima while converging fast. In order to see the effectiveness and satisfying performance of the proposed algorithm, a case study including Renewable Energy Resources (RESs), storage battery, and controllable loads is studied as test system.