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首页> 外文期刊>Procedia Computer Science >Reward/Penalty Design in Demand Response for Mitigating Overgeneration Considering the Benefits from both Manufacturers and Utility Company
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Reward/Penalty Design in Demand Response for Mitigating Overgeneration Considering the Benefits from both Manufacturers and Utility Company

机译:兼顾制造商和公用事业公司利益的缓解需求过剩的需求响应中的奖励/惩罚性设计

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摘要

The high penetration of renewable sources in electricity grid has led to significant economic, environmental, and societal benefits. However, one major side effect, overgeneration, due to the uncontrollable property of renewable sources has also emerged, which becomes one of the major challenges that impedes the further large-scale adoption of renewable technology. Electricity demand response is an effective tool that can balance the supply and demand of the electricity throughout the grid. In this paper, we focus on the design of reward/penalty mechanism for the demand response programs aiming to mitigate the overgeneration. The benefits for both manufacturers and utility companies are formulated as the function of reward and penalty. The formulation is solved using particle swarm optimization so that the benefit from both supply side can be maximized under the constraint the benefit of customer side is not sacrificed. A numerical case study is used to verify the effectiveness of the proposed method.
机译:可再生资源在电网中的高度渗透已带来了巨大的经济,环境和社会效益。然而,由于可再生资源的不可控制的特性,也出现了一个主要的副作用,即过发电,这成为阻碍进一步大规模采用可再生技术的主要挑战之一。电力需求响应是一种有效的工具,可以平衡整个电网的电力供需。在本文中,我们着重于针对需求响应计划的奖惩机制的设计,以减轻过剩的产生。制造商和公用事业公司的收益都被定义为奖惩的功能。使用粒子群优化法解决配方问题,从而在不牺牲客户方利益的约束下,可以最大化来自两个供应方的利益。数值案例研究用于验证该方法的有效性。

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