Risk-considering power grid optimization planning method

Abstract

The invention relates to a power grid optimization technology, in particular to a risk-considering power grid optimization planning method, which comprises the following steps of: respectively carrying out probability modeling on wind power, photovoltaic output and load to describe the random volatility of the wind power, the photovoltaic output and the load, and proposing charging and dischargingstrategies of energy storage; secondly, taking load reduction minimization as a target, and performing power flow calculation on the power system according to a probability optimal power flow methodbased on Latin hypercube sampling; and finally, analyzing the whole life cycle cost of the planning project, further constructing a power grid two-layer planning model based on an improved whale optimization algorithm, quantifying the risk into risk loss cost, and counting the risk loss cost into a target function. Risk-considering power grid optimization planning is carried out, so that the adaptability of a grid frame planning scheme under a new situation is improved, and the safety risk brought to system operation by uncertain factors is reduced from the source.

Description

technical field [0001] The invention belongs to the technical field of power grid optimization, and in particular relates to a risk-considered grid optimization planning method. Background technique [0002] At present, due to the promotion of environmental protection, energy demand, and macro policies, the penetration rate of new energy continues to increase. The cross-regional interconnection of the power grid complicates the grid structure, and the controllable resources such as flexible loads and energy storage continue to develop. Deterministic factors bring multiple risks to the power system. As the core link of the power system, whether the grid structure can resist the risks brought by uncertain factors is the key to determining whether the system can maintain safe and reliable operation. In the existing research, the theory and method of power grid optimization planning have become mature, but the uncertainty factors considered in the planning model are not compreh...

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Problems solved by technology

In the existing research, the theory and method of power grid optimization planning have become mature, but the uncertainty factors considered in the planning model are not comprehensive enough, and the multi-subjects such as source, grid, load, and storage and their interaction effects are not considered at the same time. planning, and there are few studies that reflect the impact of uncertain factors on planning economy from the perspective of planning risk

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