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首页> 外文期刊>Water and Energy International >RENEWABLE GENERATION - TARIFF MECHANISM FOR ENABLING DSM AND DR AT CONSUMER LEVEL
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RENEWABLE GENERATION - TARIFF MECHANISM FOR ENABLING DSM AND DR AT CONSUMER LEVEL

机译:可再生发电-在消费者层面实现DSM和DR的关税机制

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摘要

Globally there is an increasing concern for energy conservation and generation of clean energy through renewable sources which are abundantly available as against fossil fuel sources which are depletingfast. In India also there is a realisation that for energy security and sustainability there is need to efficiently harness the renewable potential.Present share of renewable in India is around 10% (20 GW) and National Action Plan for Climate Change of Government of India aims for 15 per cent of the national generation to be based on renewable sources by 2020. Initiatives of GOI like JNNSM (JawaharLai Nehru National Solar Mission) which envisages deployment of 20,000 MW of solar power by 2022 are directed to facilitate above and around 10000MWof this is planned in 12th five year plan period ending in March 2017. Capacity addition thru grid connected wind and small hydro generation is envisaged to be around 15000 MW and 2100 MW respectively in 12th plan. Besides this, CERC has envisaged an RPO (Renewable Purchase Obligation) mandate for utilities of 10% by 2015 and thereafter increasing @ 1% per year till 2020. These targets are very much in reach considering that officially estimated wind potential in India is around 49 GW, some studies have quoted figures which are way above this estimation. Solar Potential in India is abundant and 5,000 trillion kWh per year energy is incident over India's land area with most parts receiving 4-7 kWh per sq. m per day.However, compared to Conventional generating resources which are relatively stable, controllable and schedulable the renewable energy sources are intermittent and variable in nature and hence pose challenges to system operators and designers. Renewable Energy sources are influenced by factors such as weather and geographic location that lead to challenges in forecasting their generation and system management. Besides there may also be some errors in load forecast that may alleviate or aggravate the netimpact on system operations. Large deployments of solar generation capacity is also saddled by the requirement of expansiveness of deployment of panels over large land areas for generation of a decent quantum of solar energy but which is still a fractionof what we get from conventional generation methods. Hence there is need to look for roof top deployment of solar PVto enable its proliferation. To compensate for the aberrations associated with their efficient integration in the power system efforts are required not only at design and technology level but also at the regulatory level for development of revenue generation and compensation mechanism and also devising innovative execution models for streamlining their integration. Demand Side Managementand Demand Response coupled with proficient integration of Distributed solar PV over roof tops could help to buffer variability in supply right from the LT voltage end.This paper presents an approach to facilitate integration of Distributed roof top solar PV and DSM and DR through an aggregator so as to provide utility with a substantial quantum of controllable generation rather than having to deal with numerous controllable loads/generation of miniscule capacity and what are the communication needs to facilitate such integration. A dynamic tariff mechanism forDR alongwith feed in tariff for solar DER will incentivise and provide a revenue generating option for the consumers and help utilities by way of easing out the load on the system and peak period purchase cost savings.
机译:在全球范围内,人们越来越关注节能和通过可再生资源产生清洁能源的方法,而可再生资源相对于正在消耗的化石燃料资源而言更为丰富。在印度,也意识到为了能源安全和可持续性,需要有效地利用可再生能源的潜力。印度目前可再生能源的份额约为10%(20 GW),印度政府的《国家气候变化国家行动计划》旨在到2020年,全国发电量的15%将以可再生能源为基础。像JNNSM(JawaharLai Nehru国家太阳能任务)这样的GOI倡议计划到2022年部署20,000 MW太阳能,其目的是为了促进上述工作,大约10,000MW到2017年3月为止的第十二个五年计划期间。在第十二个计划中,通过风电和小型水力发电并网的装机容量预计分别约为15000 MW和2100 MW。除此之外,CERC还设想到2015年公用事业的RPO(可再生能源购买义务)要求达到10%,此后每年以1%的速度递增,直到2020年。鉴于印度官方估计的风能约为49,这些目标非常可实现。 GW,一些研究引用的数字远高于此估计。印度的太阳能潜力巨大,每年在印度陆地上散发的能量为5,000万亿千瓦时,其中大部分地区每天每平方米接收4-7千瓦时的能量,但是与传统的发电资源相比,传统的发电资源相对稳定,可控且可调度可再生能源在本质上是断断续续的,因此给系统运营商和设计人员带来挑战。可再生能源受到天气和地理位置等因素的影响,这些因素导致在预测其发电量和系统管理方面面临挑战。此外,负载预测中还可能存在一些错误,这些错误可能会减轻或加剧对系统操作的网络影响。太阳能电池板的大规模部署也因需要在大片土地上广泛部署面板以产生体面的太阳能量子而感到困惑,但这仍然是我们从常规发电方法获得的一部分。因此,需要寻找太阳能光伏的屋顶部署以使其扩散。为了补偿与它们在电力系统中的有效集成相关的偏差,不仅需要在设计和技术级别上努力,而且还需要在监管级别上努力开发收入产生和补偿机制,还需要设计创新的执行模型以简化它们的集成。需求侧管理和需求响应,再加上屋顶上分布式太阳能PV的充分集成,可以帮助缓冲LT电压端的供电变化。聚合器,以便为公用事业提供大量可控的发电量,而不必处理众多可控的负载/微小容量的发电,以及促进这种集成所需的通信需求。动态的DR定价机制以及太阳能DER的定价机制将激励消费者,并为消费者提供创收选择,并通过减轻系统负荷和节省高峰期购买成本的方式帮助公用事业。

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