Journal
IEEE TRANSACTIONS ON POWER SYSTEMS
Volume 33, Issue 6, Pages 6368-6378Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2018.2832192
Keywords
Integrated energy systems; mixed-integer linear programming (MILP); N-1 criterion; natural gas system; reduced disjunctive model; transmission expansion planning (TEP)
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Funding
- Key Program of National Natural Science Foundation of China [51637008]
- Faculty of Engineering and IT Mid-Career Researcher Development Scheme 2018, Sydney University
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As the rapid development of natural-gas fired units (NGUs), power systems begin to rely more on a natural gas system to supply the primary fuel. On the other hand, natural gas system contingency might cause the nonavailabifity of NGUs and inevitably jeopardize power system security. To address this issue, this paper studies security-constrained joint expansion planning problems for this combined energy system. We develop a computationally efficient mixed-integer linear programming (MILP) approach that simultaneously considers N-1 contingency in both natural gas system and electricity power system. To reduce the combinatorial search space of MILP models, an extension of a reduced disjunctive model is proposed to decrease the numbers of binary and continuous variables as well as constraints. The involving nonlinear terms in N-1 constraints are exactly linearized without sacrificing any optimality. Numerical results on two typical integrated energy systems demonstrate the necessity of extending N-1 criterion to the whole network of a combined energy system. Experimental results also show that compared with the conventional approach, our proposed MILP approach achieves a great computational performance improvement in solving security-constrained co-optimization expansion planning problems.
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