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Evaluating the impact of FIT financial burden on social welfare in renewable expansion planning

机译:在可再生能源扩展计划中评估FIT财务负担对社会福利的影响

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Generation expansion planning (GEP) is the problem of determining the optimal strategy to plan the construction of new generation plants while satisfying technical and economic constraints. Over the past few years, the environmental issues have become a society concern and the Clean Air Act Amendments passage the laws indicating the need for renewable resources promotion. Multifarious incentive-based support schemes have been designed to increase the penetration rate of the renewables in power generation. In this context, open questions remain regarding the financial resources of the support schemes. This paper addresses the impacts of Feed-In-Tariff (Fir) mechanism on the social welfare in an integrated renewable-conventional GEP framework, while consumers are considered for patronizing the financial burden of FIT (B-FIT). Hence, after applying the gravitational search algorithm to a multistage GEP model, the benefit of generation company (GENCO) and consumer surplus are both determined as the social welfare terms. The virtual price criterion is also introduced to evaluate the effect of FIT expenditure on consumers' surplus. The numerical studies emphasize that implementation of FIT regime in the GEP results in social welfare improvement even if the B-FIT is imposed on the demand-side consumers. (C) 2014 Elsevier Ltd. All rights reserved.
机译:发电量扩展计划(GEP)是确定在满足技术和经济约束的同时确定规划新一代电厂建设的最佳策略的问题。在过去的几年中,环境问题已成为社会关注的焦点,《清洁空气法修正案》通过了表明促进可再生资源的法律。设计了多种基于激励的支持计划,以提高可再生能源在发电中的渗透率。在这种情况下,关于支助计划的财政资源仍存在悬而未决的问题。本文在综合的可再生常规GEP框架中探讨了上网电价(Fir)机制对社会福利的影响,而消费者则被视为光顾FIT(B-FIT)的财务负担。因此,在将重力搜索算法应用于多阶段GEP模型后,将发电公司的利益(GENCO)和消费者剩余都确定为社会福利术语。还引入了虚拟价格标准,以评估FIT支出对消费者剩余的影响。数值研究强调,即使对需求方消费者实行B-FIT,GEP中FIT制度的实施也会改善社会福利。 (C)2014 Elsevier Ltd.保留所有权利。

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