New Energy Power Generation Process Output Complementary and Coordinated Control

Abstract:

in view of the current high rate of abandoned wind, photovoltaic power generation costs and wind-fire bundling mode, in the active power control of the wind of low load operation of motor fluctuations in the fire team leader, the subject in the study of wind power, photovoltaic power generation, power, battery energy storage based on the load response characteristic, design the scheduler, a wind and photovoltaic power plant active power scheduling for equipment, allocation of plant-level optimal load distribution system of the thermal power plant joint scheduling, in order to improve the stability of output of new energy, reduce the energy consumption of the whole network. At the same time, the wind and photovoltaic power plant energy storage system and wind farm output coordination problem is equivalent to a mixed integer programming problem to be solved, to simultaneously determine fans and solar panels and bear the load rate; for thermal power plant load distribution optimization design of the minimum unit involved in strategy reduces the effect of variable load, variable load on set pressure and high temperature parts life. This topic to some extent to improve the wind energy and solar energy utilization, helps to reduce the carbon fuel usage, has certain theoretical and practical significance.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 3155-3159
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.3155
• Online since: August 2013
• Authors: Ming Ming Gao, Jie Hou, De Liang Zeng, Xiu Jian Lei, Jun Tang, Ming Sheng Zhang
• Keywords: Collaborative Control, Energy Storage System, Genetic Algorithm (GA), New Energy, Power Plant, Scheduling

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