The electric power source structure optimization based on capital investment efficiency

Lei Tang, Xifan Wang, Can Dang, Weijun Teng, Shenquan Liu, Pengwei Sun
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Abstract

In this paper, a novel electric power source structure optimization (EPSSO) scheme is proposed to achieve the sustainable development objectives of economic growth, electricity demand and environmental protection. Different from power generation expansion planning (PGEP), the proposed EPSSO method evaluates the optimal investment scheme for a long-term power generation expansion from the viewpoints of macro-economy. By adjusting the proportion of renewable power generating units at a more appropriate time, it can promote the efficiency of national capital with the constraint of CO2 emissions. The basic idea of this method is to combine the conventional objective function with the capital efficiency which is often used as a repressor of economic growth. At last, the genetic algorithm (GA) is used to solve the highly nonlinear combinatorial problem of EPSSO and a numerical case is present to demonstrate the feasibility of this scheme based on the background of China.
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基于资本投资效率的电力电源结构优化
为了实现经济增长、电力需求和环境保护的可持续发展目标,提出了一种新的电力电源结构优化方案。与发电扩容规划(PGEP)不同,本文提出的EPSSO方法从宏观经济角度评价长期发电扩容的最优投资方案。通过在更合适的时间调整可再生能源发电机组的比例,可以在二氧化碳排放约束下促进国家资本的效率。该方法的基本思想是将传统的目标函数与资本效率相结合,而资本效率通常被用作经济增长的抑制因子。最后,利用遗传算法求解了EPSSO的高度非线性组合问题,并以中国为背景,给出了一个数值算例,验证了该方案的可行性。
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