Optimal Economic Dispatch for Integrated Power and Heating Systems Considering Transmission Losses
Bonan Huang,
Chaoming Zheng,
Qiuye Sun and
Ruixue Hu
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Bonan Huang: School of Information Science and Engineering, Northeastern University, Shenyang 110819, China
Chaoming Zheng: School of Information Science and Engineering, Northeastern University, Shenyang 110819, China
Qiuye Sun: School of Information Science and Engineering, Northeastern University, Shenyang 110819, China
Ruixue Hu: School of Information Science and Engineering, Northeastern University, Shenyang 110819, China
Energies, 2019, vol. 12, issue 13, 1-19
Abstract:
To address the problem of the supply–demand imbalance caused by network transmission losses in integrated power and heating systems (IPHS), this paper presents an optimal economic dispatch strategy to minimize system operation cost and realize coordination and optimization between power and heat. Firstly, an innovative economic dispatch model considering transmission losses is developed, where both power and heat transmission losses models are established with good precision together. In addition, the coordination equation is derived from the formulated nonlinear, multi-constrained coupling optimization problem, where the coordination relationship of units’ outputs is clearly analyzed in an analytic way. Then, a double- λ -iteration algorithm is proposed, which can not only effectively solve the nonlinear coupling optimization problem but also decrease computation burden with faster convergence rate. Finally, simulations performed on five case studies illustrate the satisfying performance of the presented strategy.
Keywords: integrated power and heating systems; network transmission losses; economic dispatch; nonlinear coupling; double-?-iteration algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:13:p:2502-:d:243870
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