In this paper,control technologies of the hierarchical consumption scheme of the renewable energy,the horizontal interaction of the power grids and the vertical interaction among the transmission level,the distribution level and the user level are studied,so that the high-penetration renewmable energy can be integrated into the grid friendly and consumed efficiently.Control technologies of the wind-gas complementary generation system are studied for the large-scale wind power generation in the transmission level.A combinatorial ultra-short-term forecasting model of the wind power is established based on the chaos theory and the artificial neural network by analyzing the wind power volatility and its probability distribution,the fluctuation confidence interval and confidence level,and the chaos characteristic and its criterion of the wind power.The control model of the combined cycle gas turbine(CCGT)is established and its ability to compensate the rapid fluctuation of the wind power is analyzed based on the unit performance and its dynamic response curve.Then the dual-layer hybrid control strategy of the wind-gas complementary generation system is proposed.The reference power of CCGT is achieved by optimal calculating in the dispatch layer,and the output power of CCGT is adjusted in real time to compensate for the power and frequency fluctuations in the real-time optimization layer.Simulation results verify the effectiveness of the proposed strategy.Control technologies of the battery energy storage system(BESS)are studied for integrating wind power and photovoltaic power into the grid in the distribution level.A multi-factor aggregation life model of lithium iron phosphate battery energy storage system is established.Impacts of the control interval on BESS lifetime,effeciency and power volatility are analyzed.A BESS active power control strategy based on status prediction and fuzzy variable time-interval is proposed,and a multi-mode reactive power control method of the BESS is studied.Then a coordinated optimal control strategy of the active power and the reactive power is studied.Simulation results verify the effectiveness of the proposed strategy.A multi-time scale energy optimization control scheme of the users including wind turbines,photovoltaic cells,energy storage units and responsive loads is proposed.The day-ahead energy management model is established for planning the load and the output of the energy storage.An intra-day hour-level optimization strategy based on the fuzzy control algorithm is proposed to address the uncertainties of renewable energy generation.Then an intra-day minute-level optimization strategy based on the variable time constant filtering algorithm is proposed.A multi-objective optimization control strategy of the hybrid energy storage system is proposed to realize an integrated optimal performance in lifetime,efficiency,and control effect.An overall architecture for high-penetration renewable energy hierarchical consumption and interaction control is established,and a horizontal and vertical interaction control strategy of the regional power grid is proposed.In horizontal interaction control between the regional grid and its connected large network,strategies of different control modes are studied.In vertical interaction control among the three levels,strategies of the interaction between the user level and the distribution level,and the interaction between the distribution level and the transmission level are proposed.The unified information support platform and the integrated energy management system are set up to support the proposed interaction control,which has promoted efficient consumption and optimal control of controllable resources in each layer.Control technologies of this research are applied to an integrated demonstration project of intelligent power grid in area of 80km×30km of an island.Demonstration projects of the wind-gas complemental generation and the horizontal and vertical interaction with external power grid in the transmission level,the wing-storage hybrid system in the distribution level and the smart power utilization in the user level are established.Vertical interaction of controllable resources in each layer is acommplished based on the unified information support platform of the whole island.The renewable energy realizes friendly integration to the grid and efficiently consumption,which takes up 22.3% of total electricity consumption. |