Abstract
Since optimal planning for energy storage sizing and locating is critical to meet the requirement of total wind power absorption, a robust optimization theory based energy storage allocation model for transmission grid with multiple wind farms integrated is proposed in this paper. The model fully considers the transmission capacity limitation, and uses linear decision rule to optimize the allocation of the reserve capacity of the adjustable units and energy storage devices to cope with the fluctuation of wind power, which makes full use of the regulation capacity in the system. Some statistical information of wind power, such as expectation and interval, is used to describe the uncertainty of wind power. The uncertainty model is transformed into a deterministic model by using the duality optimization theory, which provides convenience for engineering application. The Garver’s 6-bus transmission system model is used for example analysis, which shows that the proposed method can effectively solve the energy storage planning problem for uncertain wind power integrated power systems.
Highlights
Due to the depletion of fossil energy and the aggravation of environmental pollution, new energy power generation has attracted worldwide attention
The above stochastic optimization methods depend on the probability distribution of wind power
The model fully considers the transmission capacity limitation of the transmission grid, and uses linear decision rule to optimize the allocation of the reserve capacity of adjustable units and energy storage devices in the system to cope with the fluctuation of wind power
Summary
Due to the depletion of fossil energy and the aggravation of environmental pollution, new energy power generation has attracted worldwide attention. The model fully considers the transmission capacity limitation of the transmission grid, and uses linear decision rule to optimize the allocation of the reserve capacity of adjustable units and energy storage devices in the system to cope with the fluctuation of wind power. The results show that the robust allocation model proposed in this paper is effective and feasible, and the obtained results have practical application value for location and capacity determination of energy storage in transmission network with multiple wind farms. E E ω where G and E are sensitivity coefficient matrixes, which denote the linear relationship between the uncertain deviation and the power compensation of spinning reserve units or energy storage. For the wind farm at node j, the uncertain deviation should be equal to the sum of the power compensation of spinning reserve units and energy storage, it yields to the following equation
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