Suzhou Electric Appliance Research Institute
期刊號(hào): CN32-1800/TM| ISSN1007-3175

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考慮需求響應(yīng)的區(qū)域電網(wǎng)分布式儲(chǔ)能規(guī)劃調(diào)度策略研究

來(lái)源:電工電氣發(fā)布時(shí)間:2025-10-29 10:29 瀏覽次數(shù):2

考慮需求響應(yīng)的區(qū)域電網(wǎng)分布式儲(chǔ)能規(guī)劃調(diào)度策略研究

張瀚文1,閔鵬2,林鋒2,趙宇輝2
(1 興發(fā)集團(tuán)能興售電有限公司,湖北 宜昌 443700;
2 國(guó)網(wǎng)湖北省電力有限公司宜昌供電公司,湖北 宜昌 443000)
 
    摘 要:分布式儲(chǔ)能和需求響應(yīng)技術(shù)是推動(dòng)新能源消納的重要手段,具有調(diào)峰、平衡、靈活等優(yōu)點(diǎn)。介紹了碳交易市場(chǎng)和新能源棄用處罰機(jī)制,以?xún)?chǔ)能成本、配電網(wǎng)運(yùn)行成本、網(wǎng)損成本、碳交易成本、新能源棄用成本為目標(biāo)函數(shù),建立分布式儲(chǔ)能優(yōu)化分配模型??紤]系統(tǒng)中各單元的調(diào)度問(wèn)題,提出分布式儲(chǔ)能與需求響應(yīng)聯(lián)動(dòng)的運(yùn)行策略,采用改進(jìn)蝙蝠算法來(lái)解決該問(wèn)題。算例分析表明,在儲(chǔ)能與需求響應(yīng)的共同作用下,配電網(wǎng)年總成本有效降低,新能源利用率提高,并改善了電網(wǎng)的電壓質(zhì)量和網(wǎng)損,保證了配電網(wǎng)的可靠性和穩(wěn)定性。
    關(guān)鍵詞: 配電網(wǎng);分布式儲(chǔ)能系統(tǒng);需求響應(yīng)技術(shù);改進(jìn)蝙蝠算法;優(yōu)化配置;碳交易機(jī)制
    中圖分類(lèi)號(hào):TM715 ;TM732     文獻(xiàn)標(biāo)識(shí)碼:A     文章編號(hào):1007-3175(2025)10-0013-06
 
Research on Planning and Dispatch Strategies for Distributed Energy
Storage in Regional Grids Considering Demand Response
 
ZHANG Han-wen1, MIN Peng2, LIN Feng2, ZHAO Yu-hui2
(1 Nengxing Electricity Sales Co., Ltd. of Xingfa Group, Yichang 443700, China;
2 State Grid Hubei Electric Power Co., Ltd. Yichang Power Supply Company, Yichang 443000, China)
 
    Abstract: Distributed energy storage and demand response technologies are important means to promote the consumption of new energy, and they have the advantages of peak regulation, balance, and flexibility. The carbon trading market and the penalty mechanism for the abandonment of new energy are introduced. Taking the energy storage cost, the operation cost of the distribution network, the network loss cost, the carbon trading cost, and the cost of new energy abandonment as the objective functions, an optimized allocation model for distributed energy storage is established. Considering the scheduling problems of each unit in the system, an operation strategy for the linkage between distributed energy storage and demand response is proposed, employing an improved bat algorithm to solve the problem. The case study shows that under the combined action of energy storage and demand response, the annual total cost of the distribution network is effectively reduced, the utilization rate of new energy is increased, the voltage quality and network loss of the power grid are improved, and the reliability and stability of the distribution network are ensured.
    Key words: distribution network; distributed energy storage system; demand response technology; improved bat algorithm; optimal allocation;carbon trading mechanism
 
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