A Competitive Swarm Optimizer-Based Technoeconomic Optimization with Appliance Scheduling in Domestic PV-Battery Hybrid Systems

A Competitive Swarm Optimizer-Based Technoeconomic Optimization with Appliance Scheduling in Domestic PV-Battery Hybrid Systems
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基于竞争群优化器的家用光伏电池混合系统中电器调度的技术经济优化

DOI:
10.1155/2019/4824837
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发表时间:
2019-10
期刊:
影响因子:
2.3
通讯作者:
Xia Xiaohua
Xia Xiaohua
中科院分区:
工程技术4区
文献类型:
--
作者:
Wang Bo;Li Yanjing;Yang Fei;Xia Xiaohua

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研究了国内光伏-蓄电池混合能源系统并网运行的技术经济优化问题。它将电器时间调度与电器特定的电力调度相结合。优化的目的是最大限度地降低能源成本,最大限度地提高可再生能源的渗透率,并在有限的时间内提高用户满意度。涉及非线性目标函数和约束条件,以及离散和连续的决策变量。为了解决大规模混合整数非线性规划问题,设计并采用了基于竞争群优化算法的数值求解器。仿真结果验证了该方法的有效性。
A technoeconomic optimization problem for a domestic grid-connected PV-battery hybrid energy system is investigated. It incorporates the appliance time scheduling with appliance-specific power dispatch. The optimization is aimed at minimizing energy cost, maximizing renewable energy penetration, and increasing user satisfaction over a finite horizon. Nonlinear objective functions and constraints, as well as discrete and continuous decision variables, are involved. To solve the proposed mixed-integer nonlinear programming problem at a large scale, a competitive swarm optimizer-based numerical solver is designed and employed. The effectiveness of the proposed approach is verified by simulation results.
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