能源约束电力系统分析及需求响应纳入减载框架

B. Akinyi, E. Zulu
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摘要

仅提供摘要格式:赞比亚目前正面临能源危机。在最近的ZESCO中,国家电力公司在全国范围内加强了减载。造成这种情况的原因是由于2014/15雨季降雨量低于平均水平,导致Kariba和Itezhitezhi水库缺水。平均每天停电6-10小时,影响到工业、企业和家庭用户。减载是电力公司为避免电力系统全面停电而采取的最后措施。如此长时间的停电对经济产生了巨大影响,尤其是对赞比亚经济的支柱——采矿业。医院里的基本设备,如新生儿病房和冷藏设备也受到了很大影响。本文试图分析一个能源受限的系统,并将需求响应作为一种更智能的方式来管理负载曲线下的区域,而不会拒绝客户6-10小时的电力供应。需求响应计划的目的是根据消费者的喜好和生活方式,减少电力消耗或将电力从高峰时段转移到非高峰时段。电力系统规划者和运营商可以使用需求响应程序作为平衡供需的资源选择。与增加发电能力来满足峰值或偶尔的需求高峰相比,需求响应是一种更具成本效益的替代方案。这是一个从服务驱动到市场驱动的转变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of an energy constrained power system and incorporation of demand response into the load shedding framework
Summaery form only given: Zambia is currently facing an energy crisis. In the recent past ZESCO, the national electricity utility has heightened load shedding, throughout the country. The reason for this being attributed to insufficient water in the reservoirs at Kariba and Itezhitezhi due to “below average” rainfall experienced during the 2014/15 rainy season. The load shedding averages 6-10 hours per day and affects industries, businesses and domestic customers. Load shedding is the last measure used by an electric utility company to avoid a total blackout of the power system. Load shedding for such long hours has great economic impact especially on the mining sector which is the backbone of the Zambian economy. Essential loads like those found in the hospitals like neo-natal units and refrigeration are also greatly affected. This paper seeks to analyse an energy constrained system and to incorporate Demand response as a smarter way of managing the area under the load curve without denying the customer 6-10 hours of electricity supply. Demand response programs are designed to decrease electricity consumption or shift it from on peak to off-peak periods depending on consumers'preferences and lifestyles. Demand response programs can be used by electric system planners and operators as resource options for balancing supply and demand. Demand Response can be a more cost effective alternative than adding generation capabilities to meet the peak or occasional demand spikes. It is a transition from a service driven to a market driven system.
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