| 引用本文: | 俞晨玺,孔维禄,俞柏红,王林炎.考虑需求响应的多目标机组检修调度优化[J].电力系统保护与控制,2020,48(11):110-118.[点击复制] |
| YU Chenxi,KONG Weilu,YU Bohong,WANG Linyan.Multi-objective optimization of generation maintenance scheduling considering demand response[J].Power System Protection and Control,2020,48(11):110-118[点击复制] |
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| 摘要: |
| 随着用户多元化用能差异化发展，针对用户的需求响应可以为机组检修调度提供便利。提出了一种考虑需求响应的多目标发电检修调度模型，考虑了环境、经济以及系统可靠性的目标，并利用词典编纂算法进行求解。首先提出了四阶段求解流程和词典编纂算法，说明了鼓励指标与系统备用水平指标的含义。并针对需求侧管理和需求响应建立相应模型。然后建立了多目标机组检修调度优化模型。在环境目标方面，考虑了区域排放值和排放水平的影响，并将两者计入到下一阶段的约束中。对运行、维护和备用成本最小化优化，考虑了含有需求侧管理的可靠性指标最大化。最后利用24节点系统进行仿真，说明了该模型的有效性和适用性。 |
| 关键词: 需求响应 词典编纂算法 多目标优化 机组检修调度优化 |
| DOI：10.19783/j.cnki.pspc.190920 |
| 投稿时间：2019-07-30修订日期：2019-12-30 |
| 基金项目:国家自然科学基金项目资助(51877190)“电气综合能源系统优化运行与风险调度方法” |
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| Multi-objective optimization of generation maintenance scheduling considering demand response |
| YU Chenxi,KONG Weilu,YU Bohong,WANG Linyan |
| (State Grid Zhejiang Cixi Power Supply Co., Ltd., Ningbo 315300, China;State Grid Zhejiang Hangzhou Power Supply Co., Ltd., Hangzhou 310000, China;North China Electric Power University, Beijing 100026, China) |
| Abstract: |
| With the diversified development of user demand, demand response can facilitate unit maintenance scheduling. This paper proposes a multi-objective power generation maintenance scheduling model that considers demand response, takes the objectives of environment, economy and system reliability into account, and uses a lexicographic algorithm to solve the problem. First, a four-stage solution process and the lexicographic algorithm are proposed, with the explanations of the incentive index and the system reserve level indicator. A corresponding model for demand side management and demand response is built. Then this paper establishes a multi-target unit maintenance scheduling optimization model. It takes into account the impact of regional emission values and emission levels in terms of environmental objectives, and accounts for the next phase of constraints. It optimizes the minimum operating, maintenance and backup costs, and considers the maximization of reliability indicators with demand side management. Finally, the model is simulated in a 24-node system, and the effectiveness and applicability of the model are illustrated. This work is supported by National Natural Science Foundation of China (No. 51877190) “Optimization Operation and Risk Scheduling Method of Electrical Integrated Energy System”. |
| Key words: demand response lexicographic technique multi-objective optimization optimal generation maintenance scheduling |
