Abstract
In order to ensure that the power supply can be restored quickly and efficiently under extreme conditions, an evaluation and decision-making method for mobile energy storage site selection and capacity planning considering the behaviour of decision makers is proposed. The prospect value is calculated based on the prospect theory to describe the bounded rationality and loss aversion of decision makers, and the attribute weight is calculated based on the relative closeness, and then the comprehensive value is obtained. Based on this, we can choose a mobile energy storage installation plan that is more in line with the psychology of decision makers.
Highlights
Developing renewable energy has become an important strategic consensus for all countries in the world to deal with environmental pollution and resource depletion
In terms of the benefits of the distribution network, the existing methods only consider the effect of improving the resilience, without considering the investment margin and the economy under normal operation, which may lead to excessive investment
Based on the prospect theory, this paper considers the psychological behaviour of decision-makers, and proposes a decision-making method for energy storage location and capacity
Summary
Developing renewable energy has become an important strategic consensus for all countries in the world to deal with environmental pollution and resource depletion. Energy storage technology is recognized as one of the most effective measures to solve the problem of renewable energy consumption and improve the safe and economic operation of the power system. The literature [3] comprehensively considers the line reinforcement cost, energy storage investment cost and load loss cost, and coordinates and optimizes the line reinforcement and energy storage configuration with the goal of minimizing the overall cost, and the two work together to improve the emergency response capability of the distribution network. This paper establishes a comprehensive index system through the analysis of the power supply recovery capacity and economics of mobile energy storage; secondly, we calculate the importance of the index based on the relative discount, and normalize the calculation of the index weight; the schemes are sorted and selected based on the prospect theory multi-index decision-making method
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