Open AccessOptimal place, size, and operation of combined heat and power in multi carrier energy networks considering network reliability, power loss, and voltage profile
Author(s) -
Pazouki Samaneh,
Mohsenzadeh Amin,
Ardalan Shahab,
Haghifam MahmoudReza
Publication year - 2016
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2015.0888
Subject(s) - sizing , reliability (semiconductor) , electric potential energy , voltage , electrical network , electricity , distributed generation , wind power , reliability engineering , power (physics) , computer science , genetic algorithm , energy carrier , matlab , electric power , electric power system , mathematical optimization , automotive engineering , energy (signal processing) , engineering , renewable energy , electrical engineering , mathematics , statistics , physics , quantum mechanics , art , visual arts , operating system
Distributed energy resources play a substantial role in today's electrical distribution networks. Combined heat and power (CHP) is a great example of the technologies with potential of combining different energy infrastructures such as gas and electricity. In this study, optimal planning (placing and sizing) of CHPs at arbitrary nodes within a system containing an electrical and natural gas network is considered. Energy hub (EH) approach is employed in order to calculate the energy consumption (operation) of each bus along with its relevant costs. CHP is optimally planned (placed and sized) at the network by considering the operation costs, power loss, network reliability, and voltage penalty. Simulation is carried out on a 33 bus radial distribution system containing electrical and gas networks. The network is integrated by wind and energy storage in some electrical buses. Genetic algorithm of Matlab and Cplex solver of GAMS are used to solve the optimisation problem. The results show that optimal planning of the CHPs reduces total costs, operation costs, network reliability, power loss, and voltage penalty by 9.4, 10.8, 15.4, 16.8, and 10.1%, respectively. The results also show operation of the formed EHs at the arbitrary nodes with optimal planning of the CHPs.