Day-ahead stochastic scheduling of integrated multi-energy system for flexibility synergy and uncertainty balancing

Abstract

Secure operation of the power system is challenged by the high level of uncertainty and fluctuation introduced by renewable energy sources. More flexibility is needed to cope with the uncertainty and improve the utilization of renewable energy. A prominent solution to provide flexibility, and simultaneously increase the efficiency of the system, is the integration of different energy sectors. This paper proposes a two-stage stochastic scheduling scheme of an integrated multi-energy system, which considers the wind power uncertainty and the synergy of different energy sectors to achieve the optimal economic operation of the whole system with minimum curtailment of wind power. In the first stage, energy and reserve scheduling of generating units is performed, while accommodation of wind power production is realized through reserves in the second stage. In the proposed scheme, the electric power system, natural gas system, and district heating system are coordinated to achieve more flexibility, both in the day-ahead and real-time stage. The stochasticity of the wind power uncertainty is represented by realistic scenarios with corresponding probabilities, which are obtained from a scenario generation algorithm based on historical observations taking into account the temporal correlation of wind power. The simulation results on a smallscale test system show that both, the economic efficiency and wind power utilization, have been improved with more flexibility and more reliable scenario set. It is shown, that the total system cost is reduced and reserves are optimized.

Multi-Objective Optimization and Performance Assessments of an Integrated Energy System Based on Fuel, Wind and Solar Energies

“…Su et al [19] established a two-stage optimization model to examine the ability of an IES to meet energy demands under the uncertainty of coupling renewable energy demand and operation. In view of the uncertainty of wind power, Turk et al [20] proposed a two-stage random scheduling scheme for IES, and a practical case was given to prove the economy and the scheme's improvements in wind power utilization efficiency. Mohammadi et al [21] used the fuzzy set method to study the uncertain modeling problem which affects the energy hub operation (for the first time).…”

Optimal Coordinated Dispatching Strategy of Multi-Sources Power System with Wind, Hydro and Thermal Power Based on CVaR in Typhoon Environment

“…The cost of wind curtailment and loss of load were included in the objective function. According to the probability density distribution of wind power and load, the economic cost of abandoning wind and losing load is estimated in reference [38].…”

Flexibility Robust Optimal Operation Strategy for Cross-Regional Interconnected Power Under Load-Source Coordination

“…(5) The regional rotation reserve constraints are shown in Eqs. (26)- (27), where L is the rotation reserve rate (%).…”

“…(2) Improvement of planning and operation on different time scales, such as prediction [25] , generation control [26] , economic dispatch [27] , ancillary services [28] , and others. (3) Reasonable price and transaction mechanisms designed to meet the flexibility requirements of power system planning and operation, such as demand response [29] , P2P trading [30] , retail power markets [31] , and others.…”