A Minimal Budget Approach algorithm for integration of clean energy to electricity systems

Jinxu Ding, Arun Kumar Somani
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Abstract

In order to reduce green house emission, some clean energy policies have been approved or are being designed to stimulate clean energy development in electricity systems of some countries. The implementation of these clean energy policies needs a huge investment of money because this will reform the backbones of the energy infrastructure in these countries. Thus, it is important to find out how to minimize the investment meanwhile meet the growing power demand and satisfy the clean energy policies. This issue plays an important role in the development of a country in the aspects of economics, environment and energy. In this paper, we focus on the above issue and propose a Minimal Budget Approach (MBA) algorithm, which can help decison makers to find out how to realize the clean energy policies, meet increasing power demand and keep the budget as small as possible.
清洁能源与电力系统整合的最小预算法算法
为了减少温室气体排放,一些国家已经批准或正在制定一些清洁能源政策,以刺激电力系统中清洁能源的发展。这些清洁能源政策的实施需要大量的资金投入,因为这将改革这些国家能源基础设施的骨干。因此,如何在满足日益增长的电力需求和清洁能源政策的前提下,最大限度地减少投资是十分重要的。这个问题在一个国家的经济、环境和能源发展中起着重要的作用。本文针对上述问题,提出了一种最小预算法(minimum Budget Approach, MBA)算法,该算法可以帮助决策者找到如何实现清洁能源政策,满足不断增长的电力需求,并使预算尽可能小的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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