Robust Optimal Scheduling of Agricultural Microgrid Combined with Irrigation System Under Uncertainty Conditions

doi:10.16183/j.cnki.jsjtu.2023.035

Abstract

Abstract:

Agricultural microgrids offer a promising solution for energy supply in remote rural areas in a low-cost manner. In this paper, under uncertain conditions of renewable energy output and electricity load demand, a robust optimal scheduling model combined with the isolated agricultural microgrid and irrigation system containing a pumped hydro storage (PHS) power station is proposed, considering the factors that the wind-landscape pumped storage integrated agricultural microgrid can satisfy the uncertain fluctuations of power load demand and water load demand. By utilizing the abundant water resources in rural areas and the advantages of landscape drainage and storage compensation, the total cost of the system is minimized while the absorption of renewable energy is increased. Considering distributed generation, power load demand and water load demand, turbine flow, and irrigation flow, the proposed model is characterized by diversity, multi-constraint, and discontinuity. A gravitational whale optimization algorithm (GWOA) is proposed to solve the model. The simulation results of an agricultural microgrid show that the GWOA can obtain a more competitive solution than the CPLEX solver and other newly developed algorithms do. In addition, the impact of the change of water load demand caused by precipitation uncertainty on the operating cost of the irrigation system and the necessity of using PHS power station are explored.

Key words: agricultural microgrid, pumped hydro storage (PHS), irrigation system, uncertainty condition, gravitational whale optimization algorithm (GWOA)

CLC Number:

TM734

YANG Sen, GUO Ning, ZHANG Shouming. Robust Optimal Scheduling of Agricultural Microgrid Combined with Irrigation System Under Uncertainty Conditions[J]. Journal of Shanghai Jiao Tong University, 2024, 58(9): 1432-1442.

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水池	流速上限/ (m³·h^-1)	流速下限/ (m³·h^-1)	容量上限/m³	容量下限/m³	始末规定容量/m³
上水池	60	10	450	50	350
下水池	60	10	600	150	100

算法	参数
PSO	C₁=1.5,C₂=1.5,W=0.75
ABC	L=5
WOA	b=1, p=0.5
EWOA	p=0.5
IWOA	b=1, p=0.5, α=0.01,β=1.5
GWOA	b=1, p=0.5

求解方法	最优成本/元	所用时间/s
CPLEX求解器	2254.7	0.6
WOA	2269.5	0.7
EWOA	2236.4	1.1
IWOA	2221.1	0.9
GWOA	2147.7	1.5

季节	WOA	PSO	ABC	EWOA	IWOA	GWOA
春	2256.5	2345.6	2303.4	2230.2	2224.4	2186.8
夏	2134.2	2141.3	2120.6	2065.4	2076.5	2001.7
秋	2182.8	2231.5	2151.4	2128.5	2134.2	2105.7
冬	2304.8	2408.4	2339.4	2265.2	2252.6	2222.5

场景	算法	弃风弃光率/%	弃风弃光率均值/%	最优成本/元	最优成本均值/元
含PHS	WOA	8.75	7.78	2272.9	2212.9
	PSO	8.58	7.78	2254.5	2212.9
	ABC	8.16	7.78	2228.3	2212.9
	EWOA	7.24	7.78	2188.5	2212.9
	IWOA	7.15	7.78	2196.6	2212.9
	GWOA	6.85	7.78	2136.6	2212.9
不含PHS	WOA	18.34	18.18	3564.9	3539.7
	PSO	20.56	18.18	3571.0	3539.7
	ABC	17.98	18.18	3546.9	3539.7
	EWOA	17.52	18.18	3528.4	3539.7
	IWOA	17.41	18.18	3521.0	3539.7
	GWOA	17.26	18.18	3506.2	3539.7