| 引用本文: | 张粒子,杨 阳.基于能效标尺竞争与OaR的工业负荷管理策略[J].电力自动化设备,2013,33(3): |
| ZHANG Lizi,YANG Yang.Industrial load management based on energy efficiency yardstick competition and OaR[J].Electric Power Automation Equipment,2013,33(3): |
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| 摘要: |
| 现行负荷管理方案未考虑工业用户的能效情况、限电先后次序以及负荷反弹效应的影响，且工业用户限电能力的随机性未予以分析。对此，提出两阶段优化策略，第一阶段以标尺竞争机制为基础构建模型，优化限电次序，优化系统整体能效，并将NSGA-Ⅱ与启发式算法结合，对该模型进行求解；第二阶段利用两状态马尔科夫过程对工业负荷随机特性进行分析，提出目标风险值（OaR）决策模型，对第一阶段限电指标进行随机优化，消除负荷反弹效应，提高模型的可操作性和实用性。通过某配网实例，分别采用改进NSGA-Ⅱ算法及黄金分割算法进行求解，对限电次序及额度进行优化计算，测算结果表明所提方法的可行性和有效性。 |
| 关键词: 负荷管理 标尺竞争 马尔科夫过程 负荷反弹 优化 |
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| 基金项目:国家自然科学基金资助项目（51207100，５１２６１１３０-４７３）；国家重点基础研究发展计划（973计划）资助项目（2009-CB219700，2010CB234600） |
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| Industrial load management based on energy efficiency yardstick competition and OaR |
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ZHANG Lizi, YANG Yang
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School of Electrical and Electronic Engineering，North China Electric Power University，Beijing 102206，China
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| Abstract: |
| Since the present load control does not consider the energy efficiency，load priority and stochastic capability of industrial loads，a two-stage load management scheme is proposed. At the first stage，a model based on yardstick competition is built to optimize the load control sequence and system energy efficiency，which is solved by the NSGA-Ⅱ combined with heuristic algorithm；at the second stage，the stochastic characteristics of industrial loads are analyzed by the two-state Markov process and a decision-making model of OaR（Objective-at-Risk） is constructed to stochastically optimize the load control scheme for eliminating the load payback and enhancing the feasibility and practicability of the proposed method. The optimized load control amount and sequence are calculated for a distribution network respectively by the improved NSGA-Ⅱ and the golden section method and results prove the feasibility and effectiveness of the proposed method. |
| Key words: load management yardstick competition Markov process load payback optimization |
