Multi-Objective Optimization Method for Source-Source Coordination of Power System Considering Wind Power Consumption

With the increase of wind power integration year by year, the randomness and volatility of wind power bring great pressure to peaking regulation of the power grid. The traditional dispatching mode with hydropower units and thermal units can not meet the needs of wind power integration. Therefore, integration of peaking resources on both sides of the load and source and adopting load-source coordinated control become a new approach to improve wind power accommodation. In that sense, research on load-source coordinated control strategy to improve wind power accommodation has important theoretical and practical significance. Firstly this paper summarize the research status of dispatch and operation strategy of power system with wind power at home and abroad. Then the output characteristics of wind farm group on different time scales are studied. Wind power integration makes the peak-valley difference and peaking demand increase, resulting in conventional power peaking difficulties and serious wind curtailment phenomenon. In that case, energy-intensive load is urgently needed to participate in peaking regulation in order to improve the peak load capacity of the network and reduce the curtailed wind power. Then, we analyze the operating characteristics of continuous, discrete and interruptible load and tap the regulatory potential of these three kinds of energy-intensive load to establish according mathematical models. On the basis of this study, the electricity amount optimization model with load-source coordinated control on the daily time scale and the power optimization model with load-source coordinated control on the hourly time scale are studied. Subsequently, the load-source coordinated control mode on daily and hourly time scales is put forward. Combined with the electricity amount optimization model and power optimization model, the load-source coordinated control strategies on the daily and hourly time scales are established to improve wind power accommodation.