期刊
IEEE TRANSACTIONS ON SMART GRID
卷 4, 期 1, 页码 606-616出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2012.2235866
关键词
Demand response; energy resource management; particle swarm optimization; virtual power player
资金
- FEDER Funds through COMPETE program
- FCT [FCOMP-01-0124-FEDER: PEst-OE/EEI/UI0760/2011, PTDC/EEA-EEL/099832/2008, PTDC/SEN-ENR/099844/2008, PTDC/SEN-ENR/122174/2010, SFRH/BD/80183/2011]
- Fundação para a Ciência e a Tecnologia [SFRH/BD/80183/2011] Funding Source: FCT
The elastic behavior of the demand consumption jointly used with other available resources such as distributed generation (DG) can play a crucial role for the success of smart grids. The intensive use of Distributed Energy Resources (DER) and the technical and contractual constraints result in large-scale non linear optimization problems that require computational intelligence methods to be solved. This paper proposes a Particle Swarm Optimization (PSO) based methodology to support the minimization of the operation costs of a virtual power player that manages the resources in a distribution network and the network itself. Resources include the DER available in the considered time period and the energy that can be bought from external energy suppliers. Network constraints are considered. The proposed approach uses Gaussian mutation of the strategic parameters and contextual self-parameterization of the maximum and minimum particle velocities. The case study considers a real 937 bus distribution network, with 20310 consumers and 548 distributed generators. The obtained solutions are compared with a deterministic approach and with PSO without mutation and Evolutionary PSO, both using self-parameterization.
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