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光伏发电技术 ★ 5.0

清除市场与辅助服务市场中的权衡:农业园区运营商的战略双层多目标规划

Trade-off both in the clearing market and ancillary services markets for agriculture park operator: A strategic bilevel multi-objective programming

作者 Junyan Shaoa · Houhe Chenb · ÖzgürÇelik · Baoze Weia · Juan C.Vasquez · Josep M.Guerrero
期刊 Applied Energy
出版日期 2025年1月
卷/期 第 388 卷
技术分类 光伏发电技术
相关度评分 ★★★★★ 5.0 / 5.0
关键词 An AMO-DSO bi-level coordinated optimization model is formulated in this paper.
语言:

中文摘要

摘要 未来的农业正朝着更智能、更可持续的生产模式转变。这一创新体现为将温室与光伏储能系统(PESS)相结合。农业园区运营商(APOs)可高效利用太阳能,以促进作物生长并优化整体能源管理。因此,通过部署和管理PESS,APOs转变为产消者(prosumers)。除了普遍认知的益处外,这一转型也为APOs带来了权衡问题:1)使用储能装置储存更多太阳能,从而延长作物每日的生长供电时间;2)将储能容量租赁给电力公司以获取额外收入或抵扣部分电费支出。针对这一未来具有实际意义的挑战,本文构建了一个双层优化模型,用于支持运营商的战略决策与能源管理设计。上层模型旨在最大化农业园区高效日常运营的利润,包含两个目标:(i)最大化在辅助服务市场中的收益;(ii)最小化电力采购成本。该双层模型通过Karush-Kuhn-Tucker(KKT)条件转化为带均衡约束的数学规划(MPEC)问题进行求解。仿真结果表明,部署光伏与电池系统可降低电力采购成本和作物生长周期成本,使净收益最高提升33%。此外,作物价格与辅助服务价格对策略选择具有显著影响。© 2025 Elsevier Ltd. 出版。本文由Global Science and Technology Forum Pte Ltd负责遴选和/或同行评审。

English Abstract

Abstract Future agriculture is poised to shift towards smarter, more sustainable production modes. This innovation are performed as the integration of greenhouse with photovoltaic energy storage systems (PESS). Agricultural park operators (APOs) may efficiently leverage solar energy to enhance both crop growth and overall energy management . Thus, APOs transform into prosumers via the deployment and management of PESS. Beyond benefits known to all, this transition presents a trade-off for APOs: 1) Using energy storage to save more solar energy, thereby extending growth time per day for crops utilize stored power. 2) Lease the energy storage to utilities for additional revenue or offset part of the electricity bill. In response to this future practical and meaningful challenge, this paper develops a bi-level optimization model of strategic decision-making and designs energy management for operators. The upper level highlighted maximizing profits of efficient and daily management for agricultural park. The upper level comprises two parts: (i) Maximizing profits in the ancillary services market and (ii) Minimizing the cost of electricity procurement. The bi-level model is reformulated as a mathematical program with equilibrium constraints (MPEC) problem via the Karush-Kuhn-Tucker (KKT) method. Simulations indicate that deploying photovoltaic and battery systems may reduce costs of electricity procurement and crop growth cycles, increase net profit up to 33 %. Additionally, crop prices and ancillary service prices significantly influence strategy options. © 2025 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Global Science and Technology Forum Pte Ltd.
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SunView 深度解读

该研究针对农业光伏储能系统的双层优化决策,与阳光电源ST系列储能变流器和SG系列光伏逆变器深度契合。论文提出的储能在辅助服务市场与自用间的权衡策略,可为PowerTitan储能系统的能量管理算法提供优化思路。通过KKT方法求解的双层模型能指导iSolarCloud平台开发农业园区场景的智能调度功能,实现削峰填谷与市场收益的动态平衡,提升系统经济性达33%。该应用场景可拓展阳光电源在农光互补领域的解决方案竞争力。