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首页> 外文期刊>Arabian Journal for Science and Engineering. Section A, Sciences >A Novel Optimization Framework for the Least Cost Generation Expansion Planning in the Presence of Renewable Energy Sources considering Regional Connectivity
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A Novel Optimization Framework for the Least Cost Generation Expansion Planning in the Presence of Renewable Energy Sources considering Regional Connectivity

机译：考虑区域连通性的可再生能源存在的新颖优化框架

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摘要

Generation expansion planning (GEP) is a vital step in power system planning after the load forecast. The integration of renewable energy sources makes the GEP problem less reliable due to intermittent nature. The concept of exploiting the energy sources of multiple regions and cross-border power exchange is gaining immense attention in energy policy strategic planning. The aspect of regional connectivity has been incorporated in the least cost GEP by proposing two new models for large-scale power systems as intra-regional and inter-regional GEP. Intra-regional GEP simulates the composite planning for multiple zones of a region, whereas inter-regional GEP accommodates the energy sources of multiple regions and promotes the import–export of electrical power across the border. To pursue the least cost GEP, a novel meta-heuristic GEP optimization framework has been proposed in this paper. The proposed GEP optimization framework is biogeography-based optimization employing the correction matrix method-with-indicators (BBO-CMMI). In BBO-CMMI, a new parallel constraint handling approach called the correction matrix method-with-indicators (CMMI) has been developed. The proposed optimization framework is applied to reliability-constrained and emission-constrained GEP problems from the literature. The proposed framework shows promising results in terms of the least cost and runtime as compared with the results given by recent approaches presented in the literature. Similarly, the framework outperforms to optimize the large-scale power systems for intra-regional and inter-regional GEP. The applicability of the proposed approach has also been evaluated by applying to a real case study of Pakistan's power system to devise the feasible generation expansion plan .
机译：一代扩展规划（GEP）是负载预测后电力系统规划的重要步骤。可再生能源的整合使得由于间歇性的性质而言，GEP问题不太可靠。利用多个地区和跨境电力交换能源的概念在能源政策战略规划方面取得了巨大的关注。通过为区域内和区域间GEP中的大型电力系统提出两种新型号，区域连接的方面一直纳入最低成本GEP。地区内部GEP模拟了一个地区多个区域的综合规划，而间区域GEP适用于多个地区的能源，并促进边境跨越电力的进出口。为了追求最少的成本GEP，本文提出了一种新的Meta-heuristic Gep优化框架。所提出的GEP优化框架是采用校正矩阵法的基于生物地基的优化 - 指标（BBO-CMMI）。在BBO-CMMI中，已经开发出称为校正矩阵方法（CMMI）的新的并行约束处理方法。所提出的优化框架应用于文献中的可靠性受阻和排放约束的GEP问题。拟议的框架表明，与最近在文献中提出的方法给出的结果相比，有希望的成本和运行时间的产生。类似地，框架优于优化区域内和区域间GEP的大规模电力系统。拟议的方法的适用性也通过申请了对巴基斯坦电力系统的实际研究设计来设计可行的产生扩张计划。

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