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6. Station-network cooperative planning method of urban integrated energy system based on energy flow model.

Author

Fu, Xin, Yu, Shunjiang, He, Qibo, Wang, Long, Niu, Chengeng, Yang, Li, Du, Zhaobin, and Dou, Xun

Subjects
COOPERATION, URBAN planning, BILEVEL programming, POWER resources, CARBON emissions
Abstract

Coordinated siting and sizing for energy stations and supply networks in urban integrated energy system (UIES) is significant for economic improvement and carbon emissions reduction. A station-network cooperative planning method of UIES based on energy flow model is proposed. First, an operation model of heat network based on energy flow theory is proposed, which solves the problem that the temperature mixing equation in the traditional operation model cannot be applied to heat network planning. On this basis, a bi-level model for station-network cooperative planning of UIES is constructed, in which the upper level optimizes the siting and sizing of the energy station and the topology of the supply network, and the lower level optimizes the operation of the UIES and feeds back the operation cost of the UIES to the upper level. Finally, a solution method of cooperative planning based on the Karush-Kuhn-Tucher condition is proposed, to transform the bi-level nonlinear optimization model into a single-level linear optimization model for efficient solution. Case studies on the 55-node and 77-road urban topology show that the proposed method can perform an effective planning on energy supply network topology and rationally configure the capacity of various devices in the energy station. [ABSTRACT FROM AUTHOR]

Published
2024
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7. Mobile power sources pre‐allocation and dispatch strategy in power‐transportation coupled network under extreme weather.

Author

Fan, Guochen, Du, Zhaobin, Lin, Xiaoke, and Chen, Nanxing

Subjects
EXTREME weather, WEATHER, NUMBER theory, FUEL costs, DECISION making
Abstract

This study introduces a strategy for the pre‐allocation and dispatch of mobile power sources (MPSs) within a power‐transportation coupled network, targeting efficient distribution network fault recovery under extreme weather conditions. The strategy incorporates the Dijkstra algorithm and blind number theory to analyse the MPS driving path and generate fault scenarios respectively, considering the effects of extreme weather on traffic capacity and distribution network fault rate. The MPS pre‐allocation model, formulated to minimize the load outage loss, MPS investment, and driving fuel cost, provides a foundation for optimization of the dispatch process. The dispatch optimization model adapts to dynamic information from the power‐transportation coupled network to make decisions on load restoration sequencing and MPS driving path. The effectiveness of the proposed strategy is demonstrated through an application to the IEEE 33‐node distribution system and a corresponding 33‐node transportation network. [ABSTRACT FROM AUTHOR]

Published
2024
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29. An Evaluation Method of Reactive Power and Voltage Control Ability for Multiple Distributed Generators in an Islanded Micro-grid

Author

Chen Zhuo, Wang Kai, Zhan Haoqin, and Du Zhaobin

Subjects
Computer science, business.industry, 020209 energy, Photovoltaic system, 02 engineering and technology, AC power, Automotive engineering, Energy storage, Renewable energy, Harmonics, 0202 electrical engineering, electronic engineering, information engineering, Diesel generator, Transient (oscillation), business, Voltage
Abstract

Micro-gird, as an effective way of connecting the large-scale distributed generators (DGs) to distribution network, has attracted the attention of scholars these years. However, the reactive power and voltage control is a big challenge to the islanded micro-grid, due to the small capacity of the master source or lack of a diesel generator with a large load fluctuation. In the interest of more economical and flexible adapting to various operation modes in an islanded micro-grid with renewable sources, it is necessary to utilize the reactive power potential of existing DGs as much as possible. In this paper, a comprehensive index for evaluating the reactive power and voltage control capability of DGs is proposed using the Analytic Hierarchy Process (AHP). The comprehensive index is determined by five subindices, including Voltage Deviation, Voltage Fluctuation, Voltage Harmonics, Static Reactive Power Support Capability, and Transient Reactive Power Support Capability. The proposed indices are utilized to evaluate the reactive power and voltage control capability of islanded micro-grids with various combinations of DGs such as wind turbine, photovoltaic and energy storage, while the difference between master-slave control and peer-to-peer control is mainly analyzed in this way. Simulations are carried out in the DIgSILENT environment. The effectiveness of the proposed comprehensive index is verified by the comparison of different cases, which can be a reference for the generation planning and voltage control strategies of islanded micro-grids.

Published
2018

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