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Impact of price-based demand response on market clearing and locational marginal prices

机译:基于价格的需求响应对市场清算和地区边际价格的影响

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摘要

This study quantitatively analyses the impact of price-based demand response (DR) on market clearing and locational marginal prices (LMPs) of power systems using the network-constrained unit commitment (NCUC) model. The price-based DR is formulated via linear price-sensitive demand bidding curves, while considering DR participation levels and energy payback rates. DR is formulated as load shifting as well as load curtailment by adopting different energy payback rates to represent the amount of energy shifted among different hours. The objective is to maximise the system social welfare, which includes the revenue from price-sensitive DR loads minus the energy production costs from generating units. The NCUC problem is formulated as a mixed-integer linear programming (MILP) problem and solved by the commercial MILP solver. Numerical case studies are performed to analyse the impacts of DR on unit commitment, LMPs, energy production costs and DR load payments. Results indicate that with the current market clearing mechanism which maximises the system social welfare, DR dispatch may augment LMPs by displacing less flexible generating units and/or triggering additional transmission congestions and, in turn, increase DR loads?? payments, which will ultimately influence the financial stability of DR providers and the sustainable deployment of DR programs.
机译:这项研究使用网络约束单位承诺(NCUC)模型定量分析了基于价格的需求响应(DR)对电力系统的市场清理和位置边际价格(LMP)的影响。基于价格的灾难恢复是通过对价格敏感的线性需求投标曲线制定的,同时考虑了灾难恢复的参与程度和能源回收率。通过采用不同的能源回收率来表示DR在不同小时之间转移的能量,DR可以表示为转移负荷和减少负荷。目的是使系统的社会福利最大化,其中包括对价格敏感的DR负载的收益减去发电机组的能源生产成本。 NCUC问题被公式化为混合整数线性规划(MILP)问题,并由商用MILP求解器解决。进行了数值案例研究,以分析DR对机组承诺,LMP,能源生产成本和DR负荷支付的影响。结果表明,利用当前的市场清算机制,该制度能最大程度地提高系统的社会福利,灾难恢复调度可以通过更换灵活性较差的发电机组和/或引发额外的传输拥堵来增加大型MP,进而增加灾难恢复负荷。付款,最终将影响灾难恢复提供商的财务稳定性和灾难恢复计划的可持续部署。

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