Abstract
Spinning reserve allocation is a critical problem for active power dispatch with large-scale wind power penetration. A risk-based reserve allocation method that accounts multiple control sub-area coordination is given in this paper. And a multi-objective optimization model is constructed to schedule the spinning generation reserve for online active power dispatch. A fuzzy optimization method is used to transform the multi-objective optimization problem into a single-objective optimization one. The relationship between loss of load expectation and spinning reserve is also derived. And a particle swarm optimization (PSO) method is employed to provide a numerical solution to the problem. Numerical tests on IEEE RTS system are also given to validate the proposed method.
Highlights
Wind power generation is one of the most important renewable energy forms and it has seen an ever-increasing development in the past decades all over the World, but especially in China, which has the largest wind turbine installation capacity in the World
Power generation reserves can be classified into spinning reserves and non-spinning reserves according to the North American Electric Reliability Corporation (NERC) definitions [5]
In China, the power generation reserves are divided into load following reserves, contingency reserves and maintenance reserves, where the load following and contingency reserves constitute the spinning reserves, and the maintenance reserves constitute the non-spinning reserves, which are used for different time-scale power generation dispatch and control [6]
Summary
Wind power generation is one of the most important renewable energy forms and it has seen an ever-increasing development in the past decades all over the World, but especially in China, which has the largest wind turbine installation capacity in the World. Morales et al [13] proposes a stochastic programming model for spinning reserve optimization in the power system with high wind power penetration, in which both load shedding cost and wind spillage cost are accounted. The spinning reserve allocation problem becomes especially serious for the grids with large-scale wind power integration. For the power grid with large-scale wind power integration, the uncertainty characteristic of wind power output has to be considered and a probability-based method is required for this. A risk-based multi-objective spinning reserve optimization model, which considers the coordination of multiple control subareas, is proposed. This paper is organized as follows: the spinning reserve allocation optimization model for active power dispatch considering operational risk, penalty cost of wind power curtailment and power production cost is proposed, and the fuzzy optimization is applied for this model.
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