Primary Research On Management And Control In Wind/Photovoltaic Hybrid Power System

As a kind of abundant, clean and renewable energy source, wind/photovoltaic hybrid power (WPHP), which will make tremendous contribution to energy structure adjustment and environmental protection, has been the important topic of research. At present, at home and abroad, research on WPHP is mainly focused on wind turbine manufacture and control, photovoltaic power unit manufacture and control, and also the optimization design of wind/photovoltaic hybrid power farm (WPHPF). There is less report about energy management and control of WPHPF, which is vital to the popularization and application of this new green energy.Based on collecting, analyzing, generalizing material about WPHPS at home and abroad, this dissertation makes a further study of energy management and control of WPHPS.The primary research is as follows:1. Research on wind/photovoltaic hybrid power systems based on multi-agent system. Constitutes of wind/photovoltaic hybrid power generation system are very complexly. The control in WPHPS has become more and more difficult. Based on the theory of Multi-Agent Systems (MAS), a control is given to control WPHPS by distributed decision and distributed control. In WPHPS based on multi-Agent, because the numbers of wind power generators, photovoltaic power generators and storage batteries are usually very large, it is quite difficult to confirm the number of energy control agent and need optimization design. Particle swarm optimization (PSO) is used for resolving the optimization design model and the number of each style energy control Agent is successfully confirmed.2. Study on plant economic operation of hydropower station. Aiming at characteristics of WPHPS, an optimizing control mathematical model of WPHPS,. with the lowest operation cost as its optimization condition, is established. It is optimized by particle swarm optimization to keep economic operation. Where a cross operator of genetic algorithm (GA) is introduced into the normal PSO to maintain the diversity of the swam and avoid the premature convergence, and then the searching ability in solution space of the algorithm is improved with a self-adaptable inertia weight as well.3. Research on isobarically control of wind/photovoltaic hybrid power systems. After analyzing the relation of reactive power and voltage, aiming at the characteristics of WPHPS, a fitness function is established with the condition of the lowest operation cost of equalized reactive power and wasted active power. Based on the traditional genetic algorithm, the algorithm is improved to resolve the function more rapid, what means it not only can keep the voltage quality, but also can reduce the costs of operation of WPHPS.At the end of this dissertation, the main research is summarized. It makes out the points of innovation and main research results, also give the shortage in the dissertation and the problem need to further research.