Short-term Optimal Dispatch Model for Maximizing Expectation of Consumption Power of Cascade Hydro-Photovoltaic Complementary System

被引：0
|
作者：
Luo B. [1 ,2 ]
Chen Y. [1 ,3 ]
Liu Z. [1 ]
Miao S. [4 ]
Wang H. [2 ]
Zhang H. [2 ]
机构：
[1] State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing
[2] Sichuan Energy Internet Research Institute, Tsinghua University, Chengdu
[3] Southwest Petroleum University, Chengdu
[4] State Grid Sichuan Electric Power Company, Chengdu
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2023年 / 47卷 / 10期
基金：
中国国家自然科学基金;
关键词：
cascade hydropower plant; maximizing expectation of consumption power; mixed integer linear programming; multi-energy complementary;
D O I：
10.7500/AEPS20220719003
中图分类号：
学科分类号：
摘要：
By making full use of regulation ability of the cascade hydropower, the complementary generation of cascade hydro-photovoltaic (PV) systems is an important way to promote clean energy consumption. In this paper, considering the uncertainty of PV output, a short-term optimal dispatch model of the cascade hydro-photovoltaic complementary system is introduced with the aim of maximizing expectation of the total consumption power. This model takes the unit as the minimum dispatch unit, and the constraints including the power plant, the unit and the power grid are carefully modelled. Through the rational distribution of cascade load in power plants and time periods, the dual role of cascade hydropower in power support and PV coordination is explored, thus the overall power consumption level is improved. In terms of model solving, linearization methods and modeling techniques such as piecewise linear approximation, introduction of 0-1 integer variables, and generation head discretization are used to deal with nonlinear constraints. The original model is transformed into a mixed integer linear programming (MILP) problem which can be solved by CPLEX tool in Java programming environment. Finally, the proposed model is applied to a hydro-photovoltaic complementary system consists of 4 hydropower plants, 15 units and 2 photovoltaic clusters in southwest China, the effectiveness of the proposed model and solution method is verified. © 2023 Automation of Electric Power Systems Press. All rights reserved.
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页码：66 / 75
页数：9
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