Day-ahead optimization schedule for gas-electric integrated energy system based on second-order cone programming

This paper proposes an optimal day-ahead optimization schedule for gas-electric integrated energy system (IES) considering the bi-directional energy flow. The hourly topology of electric power system (EPS), natural gas system (NGS), energy hubs (EH) integrated power to gas (P2G) unit, are modeled to...

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Vydáno v:CSEE Journal of Power and Energy Systems Ročník 6; číslo 1; s. 142 - 151
Hlavní autoři: Yonghui Sun, Bowen Zhang, Leijiao Ge, Denis Sidorov, Jianxi Wang, Zhou Xu
Médium: Journal Article
Jazyk:angličtina
Vydáno: Beijing Chinese Society for Electrical Engineering Journal of Power and Energy Systems 01.03.2020
China electric power research institute
Témata:
Convex analysis
Electric power
Electric power systems
Electrical engineering
Electricity distribution
Energy
Energy flow
Gas flow
Integer programming
Integrated energy systems
Mixed integer
Natural gas
Nonlinear programming
Optimization
Schedules
Scheduling
Topology
ISSN:2096-0042, 2096-0042
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Shrnutí:This paper proposes an optimal day-ahead optimization schedule for gas-electric integrated energy system (IES) considering the bi-directional energy flow. The hourly topology of electric power system (EPS), natural gas system (NGS), energy hubs (EH) integrated power to gas (P2G) unit, are modeled to minimize the day-ahead operation cost of IES. Then, a second-order cone programming (SOCP) method is utilized to solve the optimization problem, which is actually a mixed integer nonconvex and nonlinear programming issue. Besides, cutting planes are added to ensure the exactness of the global optimal solution. Finally, simulation results demonstrate that the proposed optimization schedule can provide a safe, effective and economical day-ahead scheduling scheme for gas-electric IES.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2096-0042
2096-0042
DOI:10.17775/CSEEJPES.2019.00860