Abstract
As renewable energy increasingly penetrates into electricity-heat integrated energy system (IES), the severe challenges arise for system reliability under uncertain generations. A two-stage approach consisting of pre-scheduling and re-dispatching coordination is introduced for IES under wind power uncertainty. In pre-scheduling coordination framework, with the forecasted wind power, the robust and economic generations and reserves are optimized. In re-dispatching, the coordination of electric generators and combined heat and power (CHP) unit, constrained by the pre-scheduled results, are implemented to absorb the uncertain wind power prediction error. The dynamics of building and heat network is modeled to characterize their inherent thermal storage capability, being utilized in enhancing the flexibility and improving the economics of IES operation; accordingly, the multi-timescale of heating and electric networks is considered in pre-scheduling and re-dispatching coordination. In simulations, it is shown that the approach could improve the economics and robustness of IES under wind power uncertainty by taking advantage of thermal storage properties of building and heat network, and the reserves of electricity and heat are discussed when generators have different inertia constants and ramping rates.
Highlights
With the enhancement of coupling between multi-type energy sources, integrated energy system (IES) has drawn the increasing attention
In robust and economic scheduling, uncertainty set is used to define the possible range of uncertain variables
Excessive description of uncertainty may lead to conservatism, i.e., higher operational cost; while insufficient consideration of uncertainty cannot guarantee the operational reliability under uncertain realizations
Summary
With the enhancement of coupling between multi-type energy sources, integrated energy system (IES) has drawn the increasing attention. With the growth in utilization of CHP unit, its heat-led mode has caused serious wind abandonment especially in winter heating periods. This becomes a key issue limiting wind power penetration. Many studies have been conducted to improve the flexibility of electricity and heat coupled IES under wind power uncertainty. The maximum flexibility of a combined heat and power system with thermal energy storage is discussed [2], where the robustness of the system under renewable energy resources uncertainty is not considered. In [4], a minimax regret model based two-stage robust scheduling for IES is introduced, where the electrical and thermal load tracking strategies are applied to attenuate the uncertainty. A scenario-based stochastic multi-energy scheduling is developed in [6], where the scenario-independent and scenario-relative twostage decisions are made in an optimization model with various energy storage considered
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