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电网技术 2008, 32(24) 11-15 DOI: ISSN: 1000-3673 CN: 11-2410/TM

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	节能发电调度
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	陈慧坤
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广东电网节能发电调度计划模型与算法

张宁1，陈慧坤2，骆晓明2，李嘉龙2，夏清1，康重庆1

1．电力系统国家重点实验室(清华大学电机系)，北京市海淀区 100084；2．广东省电力调度中心，广东省广州市 510600

摘要：开展节能发电调度是我国电力行业实现节能降耗的重要举措。以全国节能发电调度5个试点省份之一的广东为研究对象，本文分析了广东电网推行节能发电调度面临的网络约束，时段耦合与网损折算等突出问题，提出了以煤耗最小化为目标、考虑网损的日前节能调度计划的优化模型。为了有效地求解问题，本文提出两阶段求解方法，首先求得日发电计划的可行解，进而在可行域内部逐步优化，模型与算法考虑了电网众多复杂的约束条件，具有一定的通用性与灵活性。利用广东电网实际数据制订了不同调度目标下的发电计划，对各种发电计划进行了对比分析，验证了算法的适应性与有效性。

关键词：节能发电调度日发电计划动态经济调度网损修正煤耗

Model and Algorithm of Energy-Conservation Based Generation Dispatching for Guangdong Power Grid

ZHANG Ning1，CHEN Hui-kun2，LUO Xiao-ming2，LI Jia-long2，XIA Qing1，KANG Chong-qing1

1．State Key Lab of Power Systems (Department of Electrical Engineering，Tsinghua University)，Haidian District，Beijing 100084，China；2．Guangdong Provincial Electric Power Dispatching Center，Guangzhou 510600，Guangdong Province，China

Abstract: Energy-conservation based generation dispatching is an important measure to reduce energy consumption in China. Guangdong province is one of the five pilot provinces where the energy-conservation based generation dispatching is tried out. The authors analyze the key problems that Guangdong power grid faces with, which are network constraints, period coupling and network loss modification. An optimal model for day-ahead energy-conservation based dispatching in which the minimum coal consumption is taken as objective function and the network loss modification is taken into account. A two-stage algorithm is also proposed to solve the problem effectively. Firstly, a feasible solution is obtained by the proposed algorithm, and then it is optimized gradually. Many complex grid constraints are taken into account. Actual data of Guangdong provincial power grid are used to validate the proposed algorithm. Scheduling with different objects are also studied and compared to illustrate the flexibility of the proposed algorithm.

Keywords: energy-conservation based generation dispatching daily generation scheduling dynamic economic dispatch network loss modification coal consumption

收稿日期 2008-11-07 修回日期 1900-01-01 网络版发布日期

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通讯作者: 张宁1

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作者Email: jiax03@mails.tsinghua.edu.cn

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