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Featured researches published by Zhang Meixia.


Proceedings of the 2018 International Conference on Mechatronic Systems and Robots | 2018

Operation Analysis of Energy Hub Considering Seasonal Load Characteristics

Yang Zhe; Wei Bengang; Li Da; Ling Zi; Yang Xiu; Zhang Meixia

In order to do some further research on the operation of various coupling equipment in the integrated energy system, based on the concept of energy hub, this paper expounds the structure and operation mechanism of the energy hub, and establishes a universal energy hub model, and analyzes the relationship between power generating capacity, heat production capacity and cold load, heat load and electric load of energy hub. The operation of energy hub in the operation mode FTL (following the thermal load) and FEL (following the electric load) was compared. The simulation results show that the proposed model and calculation method can be used to analyse the coupling degree of different energy flow in the energy hub. Through the comparison and verification of the operation mode, the operation of the energy hub is more economic in the mode FTL, and is also conducive to the safe and stable operation of the power grid.


Advanced Materials Research | 2013

The Optimization of Interruptible Load Based on the Minimum Network Loss

Zhang Meixia; Huang Hai-tao; Guo Pengchao; Sun Jun-Bo; Chen Jie

From the perspective of interruptible load participating in the standby system, this paper studies the interruptible load in capacity vacancy. Taking account of the constraints of generator, the capacity the users can provide and the IL compensation price, taking minimized the total cost of the purchasing of interruptible load and network loss as the objective function, the paper establishes a optimization model with interruptible load participating in spare capacity. Matlab program is used to calculate network loss. Through a two-node and five-bus system, interruptible Load optimization dispatch is solved, of course considering the network loss. Introduction


Advanced Materials Research | 2013

The Analysis of Current Implementation Mechanism of Green Power

Qu Haini; Huang Xingde; Xu Tangyun; Guo Pengchao; Zhang Meixia; Yang Xiu

Energy is the material foundation to promote social progress and of humans survival. A large number of energy consumption has brought serious environmental problems. After Global Climate Summit in Copenhagen, The attention to the green-house gas emissions of our country from the international community grows day by day. Developing green power is vigorously an important way to reduce the emissions of greenhouse gases. However, the cost of green power is so high compared with the traditional fossil energy that green power cannot be promoted only depending on market mechanism. So the mechanism that supports green power should be established. Firstly the implementation of green power of foreign countries (mainly the United States and European Union countries) is analyzed, and its content includes implementation mechanism, the market main body and duties, policy, motivation, supervision, etc. Then the development of domestic green power is described in detail, and a comparative analysis is presented between foreign and domestic implementation of green power in various aspects. Now in our country, the provinces developing green power better are Jiangsu, Zhejiang, Shanghai, Beijing and so on. There are enough green-power resources, potential users in these regions. And with the excitation of national policy, the regions develop green power actively, laying foundation of implementation of green-power mechanism. Shanghai is now the first city of our country that implements mechanism of green power. After the analysis of the present implementation of green power, the deficiency and areas in need of improvement are presented, combined with Shanghais present green-power implementation mechanism, as well as the original national green-power implementation mechanism. And some policy suggestion is put forward for the recent national green-power development in finance, taxation, incentive etc, which analyses and improves the designation of green-power implementation mechanism, including the payments balance and the research of incentive mechanism.


Power System Protection and Control | 2013

Genetic algorithm based economic operation optimization of a combined heat and power microgrid

Zhang Meixia


Archive | 2015

Multi-objective dispatching model-based microgrid energy control method under grid-connected operation mode

Yang Xiu; Chen Jie; Xiao Qing; Zhu Lan; Zhang Meixia


Archive | 2014

Construction method for multi-agent based micro-grid protection system

Deng Hong; Yang Xiu; Zhang Meixia; Liu Fang; Guo Pengchao; Xu Yun; Deng Yanping; Wu Wenchang; Zhang Hedong; Zhao Shuqing; Han Wenxuan


ieee pes innovative smart grid technologies conference | 2012

Efficiency optimization of photovoltaic arrays based on distributed max power point tracking

Zhang Meixia; Yang Xiu


Archive | 2014

Charging-discharging-storage integrated power station dispatching-based microgrid economic operation method

Liu Fang; Yang Xiu; Zhang Meixia; Xu Yun; Deng Hong; Guo Pengchao; Deng Yanping; Wu Wenchang; Zhang Hedong; Zhao Shuqing; Han Wenxuan


Archive | 2014

Grid-connected type micro-grid economic operating method based on sequence operation

Liu Fang; Yang Xiu; Zhang Meixia; Xu Yun; Deng Hong; Guo Pengchao; Ma Hongwei; Deng Yanping; Wu Wenchang; Zhang Hedong; Zhao Shuqing; Han Wenxuan


ieee conference energy internet and energy system integration | 2017

Study on coupling operation of multi-energy flow for integrated community energy system considering seasonal load characteristics

Li Yuan; Yang Xiu; Ling Zi; Zhang Meixia; Qu Haini; Li Lihua

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Yang Xiu

Shanghai University of Electric Power

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Guo Pengchao

Shanghai University of Electric Power

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Fang Chen

State Grid Corporation of China

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Ling Zi

Shanghai University of Electric Power

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Qu Haini

Electric Power Research Institute

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Huang Hai-tao

Shanghai University of Electric Power

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Li Yuan

Shanghai University of Electric Power

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Sun Jun-Bo

Shanghai University of Electric Power

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Li Da

Electric Power Research Institute

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Li Lihua

Electric Power Research Institute

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