Title :
Low Carbon Oriented Expansion Planning of Integrated Gas and Power Systems
Author :
Jing Qiu ; Zhao Yang Dong ; Jun Hua Zhao ; Ke Meng ; Yu Zheng ; Hill, David J.
Author_Institution :
Center for Intell. Electr. Networks, Univ. of Newcastle, Newcastle, NSW, Australia
Abstract :
As a clean fuel source, natural gas plays an important role in achieving a low-carbon economy in the power industry. Owing to the uncertainties introduced by increasing utilization of natural gas in electric power system, gas system and electricity system should be planned in an integrated manner. When considering these two systems simultaneously, there are many emerging difficulties, e.g., increased system complexity and risk, market timeline mismatch, overall system reliability evaluation, etc. In this paper, a novel expansion co-planning (ECP) framework is proposed to address the above challenges. In our approach, the planning process is modeled as a mixed integer nonlinear optimization problem. The best augmentation option is a plan with the highest cost/benefit ratio. Benefits of expansion planning considered are reductions in operation cost, carbon emission cost, and unreliability cost. By identifying several scenarios based on statistical analysis and expert knowledge, decision analysis is used to tackle market uncertainties. The operational and economic interdependency of both systems are well analyzed. Case studies on a three-bus gas and two-bus power system, plus the Victorian integrated gas and electricity system in Australia are presented to validate the performance of the proposed framework.
Keywords :
cost-benefit analysis; decision making; electricity supply industry; gas industry; integer programming; natural gas technology; nonlinear programming; pipelines; power system planning; power system reliability; carbon emission cost; clean fuel source; cost-benefit ratio; decision analysis; expansion coplanning; expert knowledge; integrated gas-power systems; low carbon economy; low carbon oriented expansion planning; mixed integer nonlinear optimization problem; natural gas; operation cost; statistical analysis; unreliability cost; Carbon dioxide; Electricity; Generators; Mathematical model; Pipelines; Planning; Power systems; Co-optimization; expansion planning and decision analysis; natural gas systems;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2014.2369011