Bi-level robust game optimal scheduling of regional comprehensive energy system
Xiao-zhu LI(),Wei-qing WANG*()
Engineering Research Center of Ministry of Education for Renewable Energy Generation and Grid Connection Technology, Xinjiang University, Urumqi 830047, China
The two-stage optimal operation strategy model of hybrid energy storage, combined cooling, heating and power (CCHP) units and energy conversion device was analyzed based on the basic framework of regional integrated energy system (RIES) in order to improve the system economy and the grid connection capacity of large-scale connected renewable energy under the RIES with multiple energy complementary. Virtual energy plant (VEP) was used to stabilize the uncertainty of power generation and consumption. The robust theory was used to construct the uncertain aggregate to adjust the boundary flexibly, and conditional risk theory was introduced to construct the risk model of RIES energy management based on Copula-RCVaR. A multi-objective whale optimal algorithm based on filter technology was proposed to solve the above complex model. The influence of different renewable energy penetration rate and their cluster effect on the income result and operation strategy of RIES was analyzed. Results show that the profit of RIES can be increased by 1.9% by introducing VEP. The profit of RIES can be increased by 5.9% by selecting a reasonable confidence probability of the uncertain variables for load and source based on the premise of ensuring the stable operation.
Xiao-zhu LI,Wei-qing WANG. Bi-level robust game optimal scheduling of regional comprehensive energy system. Journal of ZheJiang University (Engineering Science), 2021, 55(1): 177-188.
Fig.5Relation of operating outside extreme scenario
算例
BRIES利润/(105美元)
DVEP-e /MW
DVEP-h /MW
DVEP-c /MW
CVEP-e /(103 美元)
CVEP-h /(103 美元)
CVEP-c /(103 美元)
SVEP-e
SVEP-h
SVEP-c
算例1
8.62
6.00
8.54
2.23
2.87
4.75
1.91
0.81
0.61
0.71
算例2
8.53
?
17.20
6.17
?
5.56
1.97
?
0.53
0.60
算例3
8.50
6.36
?
?
3.04
?
?
0.77
?
?
算例4
8.46
?
?
?
?
?
?
?
?
?
Tab.4Operation result of each case
Fig.6Optimization plan of VEP of each case
α/%
空间约束参数
BRIES / （105美元）
CVaRRIES
POE /%
$\varGamma_{{\rm{W}},t} $
$\varGamma_{{\rm{L,}}t}^{\rm{e}} $
60
19.2
30.2
8.22
0.982 5
0.02
55.5
17.6
27.4
8.45
0.911 8
0.09
45
14.5
21.6
8.71
0.784 5
1.11
30
9.7
14.6
9.28
0.536 1
24.23
20
5.9
8.6
9.53
0.351 3
100.00
10
0.59
0.89
9.66
0.351 3
100.00
Tab.5Results with different confidence probabilities
Fig.7Pareto frontier for α=55.5%
Fig.8Convergence for bi-level model （α=55.5%）
Fig.9Probability relation of operating outside extreme for each case
Fig.10Impact of spatial cluster benefits on profit and loss risk of RIES
[1]
权超, 董晓峰, 姜彤 基于CCHP耦合的电力、天然气区域综合能源系统优化规划[J]. 电网技术, 2018, 42 (8): 2456- 2466 QUAN Chao, DONG Xiao-feng, JIANG Tong Optimization planning of integrated electricity-gas community energy system based on coupled CCHP[J]. Power System Technology, 2018, 42 (8): 2456- 2466
[2]
WEI Z N, ZHANG S D, SUN G Q, et al Power-to-gas considered peak load shifting research for integrated electricity and natural-gas energy systems[J]. Proceedings of the CSEE, 2017, 7 (16): 4601- 4609
[3]
GUANDALINI G, CAMPANARI S, ROMANO M C Power-to-gas plants and gas turbines for improved wind energy dispatch ability: energy and economic assessment[J]. Applied Energy, 2015, (147): 117- 130
[4]
张儒峰, 姜涛, 李国庆, 等 考虑电转气消纳风电的电–气综合能源系统双层优化调度[J]. 中国电机工程学报, 2018, 38 (19): 5668- 5678 ZHANG Ru-feng, JIANG Tao, LI Guo-qing, et al Bi-level optimization dispatch of integrated electricity-natural gas systems considering P2G for wind power accommodation[J]. Proceedings of the CSEE, 2018, 38 (19): 5668- 5678
[5]
QU K P, ZHENG B M, YU T, et al Convex decoupled-synergetic strategies for robust multi-objective power and gas flow considering power to gas[J]. Energy, 2019, (168): 752- 771
[6]
张虹, 葛得初, 侯宁, 等 基于WCVaR模型的分布式发电系统供需互动能量管理研究[J]. 中国电机工程学报, 2019, 39 (15): 4468- 4478 ZHANG Hong, GE De-chu, HOU Ning, et al Research on the Interactive energy management of supply and demand in a distributed generation system based on the WCVaR model[J]. Proceedings of the CSEE, 2019, 39 (15): 4468- 4478
[7]
TAN Z, WANG G, JU L, et al Application of CVaR risk aversion approach in the dynamical scheduling optimization model for virtual power plant connected with wind-photovoltaic-energy storage system with uncertainties and demand response[J]. Energy, 2017, (124): 198- 213
[8]
李东波, 李凤婷, 宋学强, 等 促进新能源消纳的自备电厂参与替代交易风险管理研究[J]. 电力系统保护与控制, 2019, 47 (11): 30- 36 LI Dong-bo, LI Feng-ting, SONG Xue-qiang, et al Research on risk management of participatory alternative power plants to promote new energy consumption[J]. Power System Protection and Control, 2019, 47 (11): 30- 36
doi: 10.7667/PSPC20191105
[9]
王文超, 庞丹, 成龙, 等 考虑电价型需求响应的交直流混合配电网优化调度[J]. 电网技术, 2019, 43 (5): 1675- 1682 WANG Wen-chao, PANG Dan, CHEN Long, et al Optimal dispatch approach for hybrid AC/DC distribution networks considering price-based demand response[J]. Power System Technology, 2019, 43 (5): 1675- 1682
[10]
徐业琰, 廖清芬, 刘涤尘, 等 基于综合需求响应和博弈的区域综合能源系统多主体日内联合优化调度[J]. 电网技术, 2019, 43 (7): 2506- 2518 XU Ye-yan, LIAO Qing-fen, LIU Di-chen, et al Multi-player intraday optimal dispatch of integrated energy system based on integrated demand response and games[J]. Power System Technology, 2019, 43 (7): 2506- 2518
[11]
王静, 徐箭, 廖思阳, 等 计及新能源出力不确定性的电气综合能源系统协同优化[J]. 电力系统自动化, 2019, 43 (15): 2- 15 WANG Jing, XU Jian, LIAO Si-yang, et al Coordinated optimization of integrated electricity-gas energy system considering uncertainty of renewable energy output[J]. Automation of Electric Power System, 2019, 43 (15): 2- 15
doi: 10.7500/AEPS20180730003
[12]
ZHANG B, SUN Y H, ZHANG S D Second-order cone programming based probabilistic optimal energy flow of day-ahead dispatch for integrated energy system[J]. Automation of Electric Power Systems, 2019, 43 (6): 25- 33
[13]
ZHANG Y F, AI Q, HAO R, et al Economic dispatch of integrated energy system at building level based on chance constrained programming[J]. Power System Technology, 2019, 43 (1): 108- 115
[14]
LV C, YU H, LI P, et al Model predictive control based robust scheduling of community integrated energy system with operational flexibility[J]. Applied Energy, 2019, (243): 250- 265
[15]
张涛, 王成, 王凌云, 等 考虑虚拟电厂参与的售电公司双层优化调度模型[J]. 电网技术, 2019, 43 (3): 952- 961 ZHANG Tao, WANG Cheng, WANG Ling-yun, et al A bi-level optimal dispatching model of electricity retailers integrated with VPPs[J]. Power System Technology, 2019, 43 (3): 952- 961
[16]
WANG C, WEI W, WANG J, et al Convex optimization based distributed optimal gas-power flow calculation[J]. IEEE Transactions on Sustainable Energy, 2018, 9 (3): 1145- 1156
doi: 10.1109/TSTE.2017.2771954
[17]
宋松柏, 王小军 基于Copula函数的水文随机变量和概率分布计算[J]. 水利学报, 2018, 49 (6): 687- 693 SONG Song-bai, WANG Xiao-jun Probability distribution calculation of the sum of hydrological random variables based on Copula function approach[J]. SHUILI XUEBAO, 2018, 49 (6): 687- 693
[18]
MIRJALILI S, LEWIS A The Whale optimization algorithm[J]. Advances in Engineering Software, 2016, 95: 51- 67
doi: 10.1016/j.advengsoft.2016.01.008
[19]
WANG Y N, WU L H, YUAN X F Multi-objective self-adaptive differential evolution with elitist archive and crowding entropy-based diversity measure[J]. Soft Computing, 2010, 14 (3): 193- 209
doi: 10.1007/s00500-008-0394-9
[20]
李笑竹, 王维庆, 王海云, 等 考虑荷源双侧不确定性的跨区域灵活性鲁棒优化运行策略[J]. 高电压技术, 2020, 46 (5): 1538- 1549 LI Xiao-zhu, WANG Wei-qing, WANG Hai-yun, et al Research on robust optimized operation strategy for cross-region flexibility with bilateral uncertainty of load source[J]. High Voltage Engineering, 2020, 46 (5): 1538- 1549
