（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
參考文獻(xiàn)
[1] 王新寶，葛景，韓連山，等. 構(gòu)網(wǎng)型儲(chǔ)能支撐新型電力系統(tǒng)建設(shè)的思考與實(shí)踐[J] . 電力系統(tǒng)保護(hù)與控制，2023，51(5) ：172-179.
[2] 閆群民，董新洲，穆佳豪，等. 基于改進(jìn)多目標(biāo)粒子群算法的有源配電網(wǎng)儲(chǔ)能優(yōu)化配置[J]. 電力系統(tǒng)保護(hù)與控制，2022，50(10) ：11-19.
[3] 黨少佳，趙松，霍紅巖，等. 電池儲(chǔ)能參與火電機(jī)組一次調(diào)頻設(shè)計(jì)與應(yīng)用[J] . 內(nèi)蒙古電力技術(shù)，2023，41(3) ：36-42.
[4] 羅金滿，劉麗媛，劉飄，等. 考慮源網(wǎng)荷儲(chǔ)協(xié)調(diào)的主動(dòng)配電網(wǎng)優(yōu)化調(diào)度方法研究[J] . 電力系統(tǒng)保護(hù)與控制，2022，50(1) ：167-173.
[5] 申建建，王月，程春田，等. 水風(fēng)光多能互補(bǔ)發(fā)電調(diào)度問題研究現(xiàn)狀及展望[J] . 中國電機(jī)工程學(xué)報(bào)，2022，42(11) ：3871-3884.
[6] 張博，申建建，程春田，等. 基于 C 藤 Copula 理論的水風(fēng)互補(bǔ)系統(tǒng)調(diào)峰方法[J] . 中國電機(jī)工程學(xué)報(bào)，2022，42(15) ：5523-5534.
[7] 李政，李偉起，張忠偉，等.“雙碳”目標(biāo)下我國電力系統(tǒng)靈活性資源發(fā)展策略研究[J] . 中國工程科學(xué)，2024，26(4) ：108-120.
[8] 姜懋，曹桂發(fā)，宋鵬至. 基于多時(shí)間尺度能量平衡算法的“源網(wǎng)荷儲(chǔ)一體化項(xiàng)目”優(yōu)化配置方法[J]. 科技促進(jìn)發(fā)展，2024，20(5) ：439-457.
[9] 李紅霞，李建林，米陽. 新能源側(cè)儲(chǔ)能優(yōu)化配置技術(shù)研究進(jìn)展[J]. 儲(chǔ)能科學(xué)與技術(shù)，2022，11(10) ：3257-3267.
[10] 李沉融，吳梓寧. 考慮多重不確定性的概率暫態(tài)穩(wěn)定約束最優(yōu)潮流[J] . 水利水電技術(shù)(中英文)，2025，56(3) ：98-109.
[11] 李鵬，姜磊，王加浩，等. 基于深度強(qiáng)化學(xué)習(xí)的新能源配電網(wǎng)雙時(shí)間尺度無功電壓優(yōu)化[J]. 中國電機(jī)工程學(xué)報(bào)，2023，43(16) ：6255-6265.
[12] 蔡福霖，胡澤春，曹敏健，等. 提升新能源消納能力的集中式與分布式電池儲(chǔ)能協(xié)同規(guī)劃[J]. 電力系統(tǒng)自動(dòng)化，2022，46(20) ：23-32.
[13] YANG X S.A new metaheuristic bat-inspired algorithm[C]//Nature Inspired Cooperative Strategies Optimization Heidelberg: Springer Berlin Heidelberg，2010 ：65-74.
[14] 韓瑩，于三川，李犖一，等. 計(jì)及階梯式碳交易的風(fēng)光氫儲(chǔ)微電網(wǎng)低碳經(jīng)濟(jì)配置方法[J] . 高電壓技術(shù)，2022，48(7) ：2523-2533.
