| 引用本文: | 肖欣,周渝慧,何时有,张宁.含流域梯级水电的水火风互补发电系统联合运行优化[J].电力自动化设备,2018,(2): |
| XIAO Xin,ZHOU Yuhui,HE Shiyou,ZHANG Ning.Optimal joint operation of hydro-thermal-wind hybrid power system with cascaded hydro power[J].Electric Power Automation Equipment,2018,(2): |
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| 摘要: |
| 大规模水电和风电并网后，来水和风速的随机性降低了发电的可控性，如何科学地在多元电源系统联合运行中确定旋转备用容量，更好地协调系统经济性与可靠性，是市场化背景下亟需解决的理论和现实问题。在分析水电和风电的自然与技术互补特性的基础上，建立考虑水流滞时效应的梯级水电水量平衡关系。通过结合传统梯级水电联合调度模型与火电、风电的经济调度模型，引入水力发电的水资源费用成本，综合考虑梯级水电能量转换、水量耦合、库容限制、水流滞时和风电穿透率等多类复杂约束，在分析电能市场与备用市场顺序决策经济意义的基础上，构建以运行成本最小为目标的考虑梯级水电的水火风互补发电系统短期优化运行模型。采用外点罚函数法将模型转化为无约束优化问题，基于加惯性权重的粒子群优化算法，运用MATLAB软件编程实现优化功能。4个梯级水电、3个常规火电、2个大型风电场构成的算例系统验证了所提模型的有效性和适用性。 |
| 关键词: 短期发电计划 流域梯级水电 可靠性 互补发电 模型 |
| DOI：10.16081/j.issn.1006-6047.2018.02.013 |
| 分类号:TM73 |
| 基金项目: |
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| Optimal joint operation of hydro-thermal-wind hybrid power system with cascaded hydro power |
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XIAO Xin1, ZHOU Yuhui2, HE Shiyou1, ZHANG Ning3
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1.Powerchina Resources Ltd., Beijing 100048, China;2.School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China;3.State Grid Energy Research Institute, Beijing 102209, China
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| Abstract: |
| The randomness of water-inflow and wind speed reduces the controllability of generation after the grid-connection of large scale hydro power and wind power, how to scientifically determine the spinning reserve capacity du-ring the joint operation of multi-source power system for better coordination of system economy and reliability is an urgent theoretical and practical problem under the background of marketization. The natural and technique complementary characteristics of hydro power and wind power are analyzed, on this basis, the balance relationship of cascaded hydro power is built with the consideration of water flow time delay effect. Combined with the traditional joint dispatch model of cascaded hydro power and the economic dispatch models of thermal power and wind power, and with the introduced water resource fee of hydro power, an optimal short-term operation model for hydro-thermal-wind hybrid power system with the consideration of cascaded hydro power is built based on the analysis of the economy significance of sequence decision for power market and reserve market, which takes the minimum operation cost as its objective and considers various complex constraints, such as energy conversion, water coupling, reservoir capacity limit and water flow time delay of cascaded hydro power, and wind power penetration, etc. The external point penalty function method is adopted to transfer the model into optimization problem without constraints, and the optimization function is realized by MATLAB based on inertia weighted particle swarm optimization algorithm. A case system with four cascaded hydro power, three thermal power and two large scale wind farms verifies the effectiveness and applicability of the proposed model. |
| Key words: short-term generation scheduling cascaded hydro power reliability complementary power generation models |
