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遗传算法在电力市场中的应用
引用本文:李运灵,侯云鹤,熊信艮,吴耀武.遗传算法在电力市场中的应用[J].电网技术,2000,24(3):55-58.
作者姓名:李运灵  侯云鹤  熊信艮  吴耀武
作者单位:武汉供电局!湖北省武汉市430013(李运灵,侯云鹤),华中理工大学电力系!湖北省武汉市430074(熊信艮,吴耀武)
摘    要:中国电力工业正处在网厂分开、竞价上网、开放电力市场的前夕 ,在电力市场中如何确定电价和实施管理成为牵动全局 ,事关发电、用户、输电各方利益的重大问题。文中将投标竞价原则引入电力市场 ,由用户自由选择发电公司 ,网络提供报务 ,建立了一种改进的投标竞价数学模型 ,并用遗传算法和网络流法进行优化。对 1 2节点系统作了仿真 ,收敛性能较好 ,并可提供多个方案供选用

关 键 词:电力市场  电力工业  电价  遗传算法  中国

APPLICATION OF GENETIC ALGORITHM IN ELECTRICITY MARKET COMPETITIVE MECHANISM
LI Yun\|ling ,HOU Yun\|he ,XIONG Xin\|gen ,WU Yao\|wu.APPLICATION OF GENETIC ALGORITHM IN ELECTRICITY MARKET COMPETITIVE MECHANISM[J].Power System Technology,2000,24(3):55-58.
Authors:LI Yun\|ling  HOU Yun\|he  XIONG Xin\|gen  WU Yao\|wu
Affiliation:LI Yun\|ling 1,HOU Yun\|he 1,XIONG Xin\|gen 2,WU Yao\|wu 2
Abstract:The power industry of China is going to establish a market based operational mechanism which makes a feature of separation of generation and transmission management, competition before supplying and open access. In electricity market the problem of pricing and performing management is an important problem which concerns the interest of all sides, including generation, transmission and customers. Based on competition principle, the method presented in this paper allows customers to make free choice of generation and transmission suppliers, which forms an improved competition model. The distribution is optimized by genetic algorithm and network flow. The result of simulation on 12-bus system is fully coincident with reference 4] , but the algorithm is of better convergence. Besides, this method offers many alternatives for making a choice.
Keywords:electricity market  competition model  genetic algorithm  network flow  distribution optimization
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